93 results on '"Achaintre, D"'
Search Results
2. Plasma concentrations and intakes of amino acids in male meat-eaters, fish-eaters, vegetarians and vegans: a cross-sectional analysis in the EPIC-Oxford cohort
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Schmidt, J.A., Rinaldi, S., Scalbert, A., Ferrari, P., Achaintre, D., Gunter, M.J., Appleby, P.N., Key, T.J., and Travis, R.C.
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Amino acids -- Health aspects -- Comparative analysis ,Blood plasma -- Health aspects -- Comparative analysis ,Food/cooking/nutrition ,Health - Abstract
BACKGROUND/OBJECTIVES: We aimed to investigate the differences in plasma concentrations and in intakes of amino acids between male meat-eaters, fish-eaters, vegetarians and vegans in the Oxford arm of the European Prospective Investigation into Cancer and Nutrition. SUBJECTS/METHODS: This cross-sectional analysis included 392 men, aged 30-49 years. Plasma amino acid concentrations were measured with a targeted metabolomic approach using mass spectrometry, and dietary intake was assessed using a food frequency questionnaire. Differences between diet groups in mean plasma concentrations and intakes of amino acids were examined using analysis of variance, controlling for potential confounding factors and multiple testing. RESULTS: In plasma, concentrations of 6 out of 21 amino acids varied significantly by diet group, with differences of -13% to +16% between meat-eaters and vegans. Concentrations of methionine, tryptophan and tyrosine were highest in fish-eaters and vegetarians, followed by meat-eaters, and lowest in vegans. A broadly similar pattern was seen for lysine, whereas alanine concentration was highest in fish-eaters and lowest in meat-eaters. For glycine, vegans had the highest concentration and meat-eaters the lowest. Intakes of all 18 dietary amino acids differed by diet group;for the majority of these, intake was highest in meat-eaters followed by fish-eaters, then vegetarians and lowest in vegans (up to 47% lower than in meat-eaters). CONCLUSIONS: Men belonging to different habitual diet groups have significantly different plasma concentrations of lysine, methionine, tryptophan, alanine, glycine and tyrosine. However, the differences in plasma concentrations were less marked than and did not necessarily mirror those seen for amino acid intakes. European Journal of Clinical Nutrition (2016) 70, 306-312; doi:10.1038/ejcn.2015.144; published online 23 September 2015, INTRODUCTION Amino acids are the building blocks of proteins (1) and are additionally utilised as a source of energy. They are necessary for the synthesis of a wide variety of [...]
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- 2016
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3. Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort.
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Rothwell, JA, Murphy, N, Bešević, J, Kliemann, N, Jenab, M, Ferrari, P, Achaintre, D, Gicquiau, A, Vozar, B, Scalbert, A, Huybrechts, I, Freisling, H, Prehn, C, Adamski, J, Cross, AJ, Pala, VM, Boutron-Ruault, M-C, Dahm, CC, Overvad, K, Gram, IT, Sandanger, TM, Skeie, G, Jakszyn, P, Tsilidis, KK, Aleksandrova, K, Schulze, MB, Hughes, DJ, van Guelpen, B, Bodén, S, Sánchez, M-J, Schmidt, JA, Katzke, V, Kühn, T, Colorado-Yohar, S, Tumino, R, Bueno-de-Mesquita, B, Vineis, P, Masala, G, Panico, S, Eriksen, AK, Tjønneland, A, Aune, D, Weiderpass, E, Severi, G, Chajès, V, Gunter, MJ, Rothwell, JA, Murphy, N, Bešević, J, Kliemann, N, Jenab, M, Ferrari, P, Achaintre, D, Gicquiau, A, Vozar, B, Scalbert, A, Huybrechts, I, Freisling, H, Prehn, C, Adamski, J, Cross, AJ, Pala, VM, Boutron-Ruault, M-C, Dahm, CC, Overvad, K, Gram, IT, Sandanger, TM, Skeie, G, Jakszyn, P, Tsilidis, KK, Aleksandrova, K, Schulze, MB, Hughes, DJ, van Guelpen, B, Bodén, S, Sánchez, M-J, Schmidt, JA, Katzke, V, Kühn, T, Colorado-Yohar, S, Tumino, R, Bueno-de-Mesquita, B, Vineis, P, Masala, G, Panico, S, Eriksen, AK, Tjønneland, A, Aune, D, Weiderpass, E, Severi, G, Chajès, V, and Gunter, MJ
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BACKGROUND & AIMS: Colorectal cancer risk can be lowered by adherence to the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) guidelines. We derived metabolic signatures of adherence to these guidelines and tested their associations with colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort. METHODS: Scores reflecting adherence to the WCRF/AICR recommendations (scale, 1-5) were calculated from participant data on weight maintenance, physical activity, diet, and alcohol among a discovery set of 5738 cancer-free European Prospective Investigation into Cancer and Nutrition participants with metabolomics data. Partial least-squares regression was used to derive fatty acid and endogenous metabolite signatures of the WCRF/AICR score in this group. In an independent set of 1608 colorectal cancer cases and matched controls, odds ratios (ORs) and 95% CIs were calculated for colorectal cancer risk per unit increase in WCRF/AICR score and per the corresponding change in metabolic signatures using multivariable conditional logistic regression. RESULTS: Higher WCRF/AICR scores were characterized by metabolic signatures of increased odd-chain fatty acids, serine, glycine, and specific phosphatidylcholines. Signatures were inversely associated more strongly with colorectal cancer risk (fatty acids: OR, 0.51 per unit increase; 95% CI, 0.29-0.90; endogenous metabolites: OR, 0.62 per unit change; 95% CI, 0.50-0.78) than the WCRF/AICR score (OR, 0.93 per unit change; 95% CI, 0.86-1.00) overall. Signature associations were stronger in male compared with female participants. CONCLUSIONS: Metabolite profiles reflecting adherence to WCRF/AICR guidelines and additional lifestyle or biological risk factors were associated with colorectal cancer. Measuring a specific panel of metabolites representative of a healthy or unhealthy lifestyle may identify strata of the population at higher risk of colorectal cancer.
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- 2022
4. Étude de l’effet des polyphénols sur les mécanismes précoces de prise de poids chez des sujets sains soumis à un mois de surnutrition : focus sur le tissu adipeux
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Delage, P., primary, Ségrestin, B., additional, Meugnier, E., additional, Chanon, S., additional, Durand, A., additional, Achaintre, D., additional, Scalbert, A., additional, Vidal, H., additional, and Laville, M., additional
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- 2022
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5. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium
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Guida, F., Tan, V.Y., Corbin, L.J., Smith-Byrne, K., Alcala, K., Langenberg, C., Stewart, I.D., Butterworth, A.S., Surendran, P., Achaintre, D., Adamski, J., Exezarreta, P.A., Bergmann, M.M., Bull, C.J., Dahm, C.C., Gicquiau, A., Giles, G.G., Gunter, M.J., Haller, T., Langhammer, A., Larose, T.L., Ljungberg, B., Metspalu, A., Milne, R.L., Muller, D.C., Nøst, T.H., Sørgjerd, E.P., Prehn, C., Riboli, E., Rinaldi, S., Rothwell, J.A., Scalbert, A., Schmidt, J.A., Severi, G., Sieri, S., Vermeulen, R., Vincent, E.E., Waldenberger, M., Timpson, N.J., Johansson, M., Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Langenberg, Claudia [0000-0002-5017-7344], Butterworth, Adam [0000-0002-6915-9015], Apollo - University of Cambridge Repository, Cancer Research UK, Guida, Florence [0000-0002-9652-2430], Tan, Vanessa Y. [0000-0001-7938-127X], Corbin, Laura J. [0000-0002-4032-9500], Alcala, Karine [0000-0003-2308-9880], Adamski, Jerzy [0000-0001-9259-0199], Bull, Caroline J. [0000-0002-2176-5120], Dahm, Christina C. [0000-0003-0481-2893], Giles, Graham G. [0000-0003-4946-9099], Langhammer, Arnulf [0000-0001-5296-6673], Ljungberg, Börje [0000-0002-4121-3753], Milne, Roger L. [0000-0001-5764-7268], Nøst, Therese H. [0000-0001-6805-3094], Pettersen Sørgjerd, Elin [0000-0002-5995-2386], Prehn, Cornelia [0000-0002-1274-4715], Riboli, Elio [0000-0001-6795-6080], Rothwell, Joseph A. [0000-0002-6927-3360], Scalbert, Augustin [0000-0001-6651-6710], Schmidt, Julie A. [0000-0002-7733-8750], Severi, Gianluca [0000-0001-7157-419X], Sieri, Sabina [0000-0001-5201-172X], Vincent, Emma E. [0000-0002-8917-7384], Timpson, Nicholas J. [0000-0002-7141-9189], Johansson, Mattias [0000-0002-3116-5081], Tan, Vanessa Y [0000-0001-7938-127X], Corbin, Laura J [0000-0002-4032-9500], Bull, Caroline J [0000-0002-2176-5120], Dahm, Christina C [0000-0003-0481-2893], Giles, Graham G [0000-0003-4946-9099], Milne, Roger L [0000-0001-5764-7268], Muller, David C [0000-0002-2350-0417], Nøst, Therese H [0000-0001-6805-3094], Rothwell, Joseph A [0000-0002-6927-3360], Schmidt, Julie A [0000-0002-7733-8750], Vincent, Emma E [0000-0002-8917-7384], Timpson, Nicholas J [0000-0002-7141-9189], Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
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Male ,Epidemiology ,Single Nucleotide Polymorphisms ,Physiology ,Biochemistry ,Body Mass Index ,0302 clinical medicine ,Risk Factors ,Metabolites ,Medicine ,Prospective Studies ,Prospective cohort study ,11 Medical and Health Sciences ,2. Zero hunger ,Medicine(all) ,0303 health sciences ,Cancer Risk Factors ,Incidence ,Neurochemistry ,General Medicine ,Neurotransmitters ,Middle Aged ,Kidney Neoplasms ,3. Good health ,Europe ,Oncology ,Nephrology ,030220 oncology & carcinogenesis ,Renal Cancer ,Metabolome ,Female ,Metabolic Pathways ,Metabolic Labeling ,ICEP ,Glutamate ,Research Article ,Victoria ,Risk Assessment ,03 medical and health sciences ,General & Internal Medicine ,Genetics ,Xenobiotic Metabolism ,Humans ,Metabolomics ,Obesity ,Risk factor ,Molecular Biology Techniques ,Molecular Biology ,030304 developmental biology ,Aged ,Medicine and health sciences ,Cancer och onkologi ,Biology and life sciences ,business.industry ,Case-control study ,Cancer ,Odds ratio ,Mendelian Randomization Analysis ,medicine.disease ,Research and analysis methods ,Metabolism ,Cell Labeling ,Medical Risk Factors ,Cancer and Oncology ,Case-Control Studies ,business ,Kidney cancer ,Body mass index ,Biomarkers ,Neuroscience - Abstract
Background Excess bodyweight and related metabolic perturbations have been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI). Methods and findings We assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case–control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 × 10−8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 × 10−5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some—but not all—metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., −0.17 SD change [ßBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 × 10−5). BMI was also associated with increased levels of glutamate (ßBMI: 0.12, p = 1.5 × 10−3). While our results were robust across the participating studies, they were limited to study participants of European descent, and it will, therefore, be important to evaluate if our findings can be generalised to populations with different genetic backgrounds. Conclusions This study suggests a potentially important role of the blood metabolome in kidney cancer aetiology by highlighting a wide range of metabolites associated with the risk of developing kidney cancer and the extent to which changes in levels of these metabolites are driven by BMI—the principal modifiable risk factor of kidney cancer., In a case-control study, Florence Guida and colleagues identify metabolites associated with risk of kidney cancer, and use Mendelian randomization techniques to study the role of body mass index in this relationship., Author summary Why was this study done? Several modifiable risk factors have been established for kidney cancer, among which elevated body mass index (BMI) and obesity are central. The biological mechanisms underlying these relationships are poorly understood, but obesity-related metabolic perturbations may be important. What did the researchers do and find? We looked at the association between kidney cancer and the levels of 1,416 metabolites measured in blood on average 8 years before the disease onset. The study included 1,305 kidney cancer cases and 1,305 healthy controls. We found 25 metabolites robustly associated with kidney cancer risk. Specifically, multiple glycerophospholipids (GPLs) were inversely associated with risk, while several amino acids were positively associated with risk. Accounting for BMI highlighted that some—but not all—metabolites associated with kidney cancer risk are influenced by BMI. What do these findings mean? These findings illustrate the potential utility of prospectively measured metabolites in helping us to understand the aetiology of kidney cancer. By examining overlap between the metabolomic profile of prospective risk of kidney cancer and that of modifiable risk factors for the disease—in this case BMI—we can begin to identify biological pathways relevant to disease onset.
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- 2021
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6. Blood polyphenol concentrations and differentiated thyroid carcinoma in women from the European Prospective Investigation into Cancer and Nutrition (EPIC) study
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Zamora-Ros, R., Lujan-Barroso, L., Achaintre, D., Franceschi, S., Kyrø, C., Overvad, K., Tjønneland, A., Truong, T., Lecuyer, L., Boutron-Ruault, M.-C., Katzke, V., Johnson, T.S., Schulze, M.B., Trichopoulou, A., Peppa, E., La Vechia, C., Masala, G., Pala, V., Panico, S., Tumino, R., Ricceri, F., Skeie, G., Ramón Quirós, J., Rodriguez-Barranco, M., Amiano, P., Chirlaque, M.-D., Ardanaz, E., Almquist, M., Hennings, J., Vermeulen, R., Wareham, N.J., Tong, T.Y.N., Aune, D., Byrnes, G., Weiderpass, E., Scalbert, A., Rinaldi, S., Agudo, A., Zamora-Ros, R., Lujan-Barroso, L., Achaintre, D., Franceschi, S., Kyrø, C., Overvad, K., Tjønneland, A., Truong, T., Lecuyer, L., Boutron-Ruault, M.-C., Katzke, V., Johnson, T.S., Schulze, M.B., Trichopoulou, A., Peppa, E., La Vechia, C., Masala, G., Pala, V., Panico, S., Tumino, R., Ricceri, F., Skeie, G., Ramón Quirós, J., Rodriguez-Barranco, M., Amiano, P., Chirlaque, M.-D., Ardanaz, E., Almquist, M., Hennings, J., Vermeulen, R., Wareham, N.J., Tong, T.Y.N., Aune, D., Byrnes, G., Weiderpass, E., Scalbert, A., Rinaldi, S., and Agudo, A.
- Abstract
Background: Polyphenols are natural compounds with anticarcinogenic properties in cellular and animal models, but epidemiological evidence determining the associations of these compounds with thyroid cancer (TC) is lacking. Objectives: The aim of this study was to evaluate the relations between blood concentrations of 36 polyphenols and TC risk in EPIC (the European Prospective Investigation into Cancer and Nutrition). Methods: A nested case–control study was conducted on 273 female cases (210 papillary, 45 follicular, and 18 not otherwise specified TC tumors) and 512 strictly matched controls. Blood polyphenol concentrations were analyzed by HPLC coupled to tandem MS after enzymatic hydrolysis. Results: Using multivariable-adjusted conditional logistic regression models, caffeic acid (ORlog2: 0.55; 95% CI: 0.33, 0.93) and its dehydrogenated metabolite, 3,4-dihydroxyphenylpropionic acid (ORlog2: 0.84; 95% CI: 0.71, 0.99), were inversely associated with differentiated TC risk. Similar results were observed for papillary TC, but not for follicular TC. Ferulic acid was also inversely associated only with papillary TC (ORlog2: 0.68; 95% CI: 0.51, 0.91). However, none of these relations was significant after Bonferroni correction for multiple testing. No association was observed for any of the remaining polyphenols with total differentiated, papillary, or follicular TC. Conclusions: Blood polyphenol concentrations were mostly not associated with differentiated TC risk in women, although our study raises the possibility that high blood concentrations of caffeic, 3,4-dihydroxyphenylpropionic, and ferulic acids may be related to a lower papillary TC risk.
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- 2021
7. Diet quality indices and dietary patterns are associated with plasma metabolites in colorectal cancer patients
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Geijsen, A, Kok, D.E., Zutphen, M. van, Keski-Rahkonen, P., Achaintre, D., Gicquiau, A., Gsur, A., Kruyt, F.M., Ulrich, C.M., Weijenberg, M.P., Wilt, J.H.W. de, Wesselink, E., Scalbert, A., Kampman, E., Duijnhoven, F. J. B. van, Geijsen, A, Kok, D.E., Zutphen, M. van, Keski-Rahkonen, P., Achaintre, D., Gicquiau, A., Gsur, A., Kruyt, F.M., Ulrich, C.M., Weijenberg, M.P., Wilt, J.H.W. de, Wesselink, E., Scalbert, A., Kampman, E., and Duijnhoven, F. J. B. van
- Abstract
Contains fulltext : 238999.pdf (Publisher’s version ) (Open Access), PURPOSE: Emerging evidence suggests that diet is linked to survival in colorectal cancer patients, although underlying mechanisms are not fully understood. The aim of this study was to evaluate whether dietary exposures are associated with metabolite concentrations in colorectal cancer patients. METHODS: Concentrations of 134 metabolites of the Biocrates Absolute(IDQ) p180 kit were quantified in plasma samples collected at diagnosis from 195 stage I-IV colorectal cancer patients. Food frequency questionnaires were used to calculate adherence to the World Cancer Research Fund (WCRF) dietary recommendations and the Dutch Healthy Diet (DHD15) index as well as to construct dietary patterns using Principal Component Analysis. Multivariable linear regression models were used to determine associations between dietary exposures and metabolite concentrations. All models were adjusted for age, sex, body mass index, smoking status, analytical batch, cancer stage, and multiple testing using false discovery rate. RESULTS: Participants had a mean (SD) age of 66 (9) years, were mostly men (60%), and mostly diagnosed with stage II and III cancer. For the dietary pattern analyses, Western, Carnivore, and Prudent patterns were identified. Better adherence to the WCRF dietary recommendations was associated with lower concentrations of ten phosphatidylcholines. Higher intake of the Carnivore pattern was associated with higher concentrations of two phosphatidylcholines. The DHD15-index, Western pattern, or Prudent pattern were not associated with metabolite concentrations. CONCLUSION: In the current study, the WCRF dietary score and the Carnivore pattern are associated with phosphatidylcholines. Future research should elucidate the potential relevance of phosphatidylcholine metabolism in the colorectal cancer continuum. CLINICAL TRIAL REGISTRY: ClinicalTrials.gov Identifier: NCT03191110.
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- 2021
8. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium.
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Guida F., Tan V.Y., Corbin L.J., Smith-Byrne K., Alcala K., Langenberg C., Stewart I.D., Butterworth A.S., Surendran P., Achaintre D., Adamski J., Exezarreta P.A., Bergmann M.M., Bull C.J., Dahm C.C., Gicquiau A., Giles G.G., Gunter M.J., Haller T., Langhammer A., Larose T.L., Ljungberg B., Metspalu A., Milne R.L., Muller D.C., Nost T.H., Sorgjerd E.P., Prehn C., Riboli E., Rinaldi S., Rothwell J.A., Scalbert A., Schmidt J.A., Severi G., Sieri S., Vermeulen R., Vincent E.E., Waldenberger M., Timpson N.J., Johansson M., Guida F., Tan V.Y., Corbin L.J., Smith-Byrne K., Alcala K., Langenberg C., Stewart I.D., Butterworth A.S., Surendran P., Achaintre D., Adamski J., Exezarreta P.A., Bergmann M.M., Bull C.J., Dahm C.C., Gicquiau A., Giles G.G., Gunter M.J., Haller T., Langhammer A., Larose T.L., Ljungberg B., Metspalu A., Milne R.L., Muller D.C., Nost T.H., Sorgjerd E.P., Prehn C., Riboli E., Rinaldi S., Rothwell J.A., Scalbert A., Schmidt J.A., Severi G., Sieri S., Vermeulen R., Vincent E.E., Waldenberger M., Timpson N.J., and Johansson M.
- Abstract
Background Excess bodyweight and related metabolic perturbations have : been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI). Methods and findings We assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case-control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 x 10-8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 x 10-5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some -but not all-metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., -0.17 SD change [sBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 x 10-5). BMI was also associated with increased levels of glutamate (sBMI: 0.12, p = 1.5 x 10-3
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- 2021
9. Blood polyphenol concentrations and differentiated thyroid carcinoma in women from the European Prospective Investigation into Cancer and Nutrition (EPIC) study
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IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Zamora-Ros, R., Lujan-Barroso, L., Achaintre, D., Franceschi, S., Kyrø, C., Overvad, K., Tjønneland, A., Truong, T., Lecuyer, L., Boutron-Ruault, M.-C., Katzke, V., Johnson, T.S., Schulze, M.B., Trichopoulou, A., Peppa, E., La Vechia, C., Masala, G., Pala, V., Panico, S., Tumino, R., Ricceri, F., Skeie, G., Ramón Quirós, J., Rodriguez-Barranco, M., Amiano, P., Chirlaque, M.-D., Ardanaz, E., Almquist, M., Hennings, J., Vermeulen, R., Wareham, N.J., Tong, T.Y.N., Aune, D., Byrnes, G., Weiderpass, E., Scalbert, A., Rinaldi, S., Agudo, A., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Zamora-Ros, R., Lujan-Barroso, L., Achaintre, D., Franceschi, S., Kyrø, C., Overvad, K., Tjønneland, A., Truong, T., Lecuyer, L., Boutron-Ruault, M.-C., Katzke, V., Johnson, T.S., Schulze, M.B., Trichopoulou, A., Peppa, E., La Vechia, C., Masala, G., Pala, V., Panico, S., Tumino, R., Ricceri, F., Skeie, G., Ramón Quirós, J., Rodriguez-Barranco, M., Amiano, P., Chirlaque, M.-D., Ardanaz, E., Almquist, M., Hennings, J., Vermeulen, R., Wareham, N.J., Tong, T.Y.N., Aune, D., Byrnes, G., Weiderpass, E., Scalbert, A., Rinaldi, S., and Agudo, A.
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- 2021
10. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium
- Author
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Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Guida, F., Tan, V.Y., Corbin, L.J., Smith-Byrne, K., Alcala, K., Langenberg, C., Stewart, I.D., Butterworth, A.S., Surendran, P., Achaintre, D., Adamski, J., Exezarreta, P.A., Bergmann, M.M., Bull, C.J., Dahm, C.C., Gicquiau, A., Giles, G.G., Gunter, M.J., Haller, T., Langhammer, A., Larose, T.L., Ljungberg, B., Metspalu, A., Milne, R.L., Muller, D.C., Nøst, T.H., Sørgjerd, E.P., Prehn, C., Riboli, E., Rinaldi, S., Rothwell, J.A., Scalbert, A., Schmidt, J.A., Severi, G., Sieri, S., Vermeulen, R., Vincent, E.E., Waldenberger, M., Timpson, N.J., Johansson, M., Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Guida, F., Tan, V.Y., Corbin, L.J., Smith-Byrne, K., Alcala, K., Langenberg, C., Stewart, I.D., Butterworth, A.S., Surendran, P., Achaintre, D., Adamski, J., Exezarreta, P.A., Bergmann, M.M., Bull, C.J., Dahm, C.C., Gicquiau, A., Giles, G.G., Gunter, M.J., Haller, T., Langhammer, A., Larose, T.L., Ljungberg, B., Metspalu, A., Milne, R.L., Muller, D.C., Nøst, T.H., Sørgjerd, E.P., Prehn, C., Riboli, E., Rinaldi, S., Rothwell, J.A., Scalbert, A., Schmidt, J.A., Severi, G., Sieri, S., Vermeulen, R., Vincent, E.E., Waldenberger, M., Timpson, N.J., and Johansson, M.
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- 2021
11. Circulating tryptophan metabolites and risk of colon cancer: Results from case-control and prospective cohort studies
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Papadimitriou, N., Papadimitriou, N., Gunter, M.J., Murphy, N., Gicquiau, A., Achaintre, D., Brezina, S., Gumpenberger, T., Baierl, A., Ose, J., Geijsen, A.J.M.R., van Roekel, E.H., Gsur, A., Gigic, B., Habermann, N., Ulrich, C.M., Kampman, E., Weijenberg, M.P., Ueland, P.M., Kaaks, R., Katzke, V., Krogh, V., Bueno-de-Mesquita, B., Ardanaz, E., Travis, R.C., Schulze, M.B., Sanchez, M.J., Colorado-Yohar, S.M., Weiderpass, E., Scalbert, A., Keski-Rahkonen, P., Papadimitriou, N., Papadimitriou, N., Gunter, M.J., Murphy, N., Gicquiau, A., Achaintre, D., Brezina, S., Gumpenberger, T., Baierl, A., Ose, J., Geijsen, A.J.M.R., van Roekel, E.H., Gsur, A., Gigic, B., Habermann, N., Ulrich, C.M., Kampman, E., Weijenberg, M.P., Ueland, P.M., Kaaks, R., Katzke, V., Krogh, V., Bueno-de-Mesquita, B., Ardanaz, E., Travis, R.C., Schulze, M.B., Sanchez, M.J., Colorado-Yohar, S.M., Weiderpass, E., Scalbert, A., and Keski-Rahkonen, P.
- Abstract
Dysregulation of tryptophan metabolism has been linked to colorectal tumorigenesis; however, epidemiological studies investigating tryptophan metabolites in relation to colorectal cancer risk are limited. We studied associations of plasma tryptophan, serotonin and kynurenine with colon cancer risk in two studies with cancer patients and controls, and in one prospective cohort: ColoCare Study (110 patients/153 controls), the Colorectal Cancer Study of Austria (CORSA; 46 patients/390 controls) and the European Prospective Investigation into Cancer and Nutrition (EPIC; 456 matched case-control pairs). Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for colon cancer risk. Tryptophan was inversely associated with colon cancer risk in ColoCare (OR per 1-SD = 0.44; 95% CI, 0.31-0.64) and EPIC (OR per 1-SD = 0.86; 95% CI, 0.74-0.99). Comparing detectable vs nondetectable levels, serotonin was positively associated with colon cancer in CORSA (OR = 6.39; 95% CI, 3.61-11.3) and EPIC (OR = 2.03; 95% CI, 1.20-3.40). Kynurenine was inversely associated with colon cancer in ColoCare (OR per 1-SD = 0.74; 95% CI, 0.55-0.98), positively associated in CORSA (OR per 1-SD = 1.79; 95% CI, 1.27-2.52), while no association was observed in EPIC. The kynurenine-to-tryptophan ratio was positively associated with colon cancer in ColoCare (OR per 1-SD = 1.38; 95% CI, 1.03-1.84) and CORSA (OR per 1-SD = 1.44; 95% CI, 1.06-1.96), but not in EPIC. These results suggest that higher plasma tryptophan may be associated with lower colon cancer risk, while increased serotonin may be associated with a higher risk of colon cancer. The kynurenine-to-tryptophan ratio may also reflect altered tryptophan catabolism during colon cancer development.
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- 2021
12. Urinary Concentrations of (+)-Catechin and (-)-Epicatechin as Biomarkers of Dietary Intake of Flavan-3-ols in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study
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Almanza-Aguilera, E, Ceballos-Sanchez, D, Achaintre, D, Rothwell, JA, Laouali, N, Severi, G, Katzke, V, Johnson, T, Schulze, MB, Palli, D, Gargano, G, de Magistris, MS, Tumino, R, Sacerdote, C, Scalbert, A, Zamora-Ros, R, Almanza-Aguilera, E, Ceballos-Sanchez, D, Achaintre, D, Rothwell, JA, Laouali, N, Severi, G, Katzke, V, Johnson, T, Schulze, MB, Palli, D, Gargano, G, de Magistris, MS, Tumino, R, Sacerdote, C, Scalbert, A, and Zamora-Ros, R
- Abstract
This study examines the correlation of acute and habitual dietary intake of flavan-3-ol monomers, proanthocyanidins, theaflavins, and their main food sources with the urinary concentrations of (+)-catechin and (-)-epicatechin in the European Prospective Investigation into Cancer and Nutrition study (EPIC). Participants (N = 419, men and women) provided 24-h urine samples and completed a 24-h dietary recall (24-HDR) on the same day. Acute and habitual dietary data were collected using a standardized 24-HDR software and a validated dietary questionnaire, respectively. Intake of flavan-3-ols was estimated using the Phenol-Explorer database. Concentrations of (+)-catechin and (-)-epicatechin in 24-h urine were analyzed using tandem mass spectrometry after enzymatic deconjugation. Simple and partial Spearman's correlations showed that urinary concentrations of (+)-catechin, (-)-epicatechin and their sum were more strongly correlated with acute than with habitual intake of individual and total monomers (acute rpartial = 0.13-0.54, p < 0.05; and habitual rpartial = 0.14-0.28, p < 0.01), proanthocyanidins (acute rpartial = 0.24-0.49, p < 0.001; and habitual rpartial = 0.10-0.15, p < 0.05), theaflavins (acute rpartial = 0.22-0.31, p < 0.001; and habitual rpartial = 0.20-0.26, p < 0.01), and total flavan-3-ols (acute rpartial = 0.40-0.48, p < 0.001; and habitual rpartial = 0.23-0.33, p < 0.001). Similarly, urinary concentrations of flavan-3-ols were weakly correlated with both acute (rpartial = 0.12-0.30, p < 0.05) and habitual intake (rpartial = 0.10-0.27, p < 0.05) of apple and pear, stone fruits, berries, chocolate and chocolate products, cakes and pastries, tea, herbal tea, wine, red wine, and beer and cider. Moreover, all comparable correlations were stronger for urinary (-)-epicatechin than for (+)-catechin. In conclusion, our data support the use of urinary concentrations of (+)-catechin and (-)-epicatechin, especially as short-term nutritional biomarkers of dietary ca
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- 2021
13. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium
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Taal, MW, Guida, F, Tan, VY, Corbin, LJ, Smith-Byrne, K, Alcala, K, Langenberg, C, Stewart, ID, Butterworth, AS, Surendran, P, Achaintre, D, Adamski, J, Amiano Exezarreta, P, Bergmann, MM, Bull, CJ, Dahm, CC, Gicquiau, A, Giles, GG, Gunter, MJ, Haller, T, Langhammer, A, Larose, TL, Ljungberg, B, Metspalu, A, Milne, RL, Muller, DC, Nost, TH, Pettersen Sorgjerd, E, Prehn, C, Riboli, E, Rinaldi, S, Rothwell, JA, Scalbert, A, Schmidt, JA, Severi, G, Sieri, S, Vermeulen, R, Vincent, EE, Waldenberger, M, Timpson, NJ, Johansson, M, Taal, MW, Guida, F, Tan, VY, Corbin, LJ, Smith-Byrne, K, Alcala, K, Langenberg, C, Stewart, ID, Butterworth, AS, Surendran, P, Achaintre, D, Adamski, J, Amiano Exezarreta, P, Bergmann, MM, Bull, CJ, Dahm, CC, Gicquiau, A, Giles, GG, Gunter, MJ, Haller, T, Langhammer, A, Larose, TL, Ljungberg, B, Metspalu, A, Milne, RL, Muller, DC, Nost, TH, Pettersen Sorgjerd, E, Prehn, C, Riboli, E, Rinaldi, S, Rothwell, JA, Scalbert, A, Schmidt, JA, Severi, G, Sieri, S, Vermeulen, R, Vincent, EE, Waldenberger, M, Timpson, NJ, and Johansson, M
- Abstract
BACKGROUND: Excess bodyweight and related metabolic perturbations have been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI). METHODS AND FINDINGS: We assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case-control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 × 10-8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 × 10-5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some-but not all-metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., -0.17 SD change [ßBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 × 10-5). BMI was also associated with increased levels of glutamate (ßBMI: 0.12, p = 1.5 × 10-3)
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- 2021
14. Plasma polyphenols associated with lower high-sensitivity C-reactive protein concentrations: A cross-sectional study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort
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Harms, L.M., Scalbert, A., Zamora-Ros, R., Rinaldi, S., Jenab, M., Murphy, N., Achaintre, D., Tjønneland, A., Olsen, A., Overvad, K., Romana Mancini, F., Mahamat-Saleh, Y., Boutron-Ruault, M.-C., Kühn, T., Katzke, V., Trichopoulou, A., Martimianaki, G., Karakatsani, A., Palli, D., Panico, S., Sieri, S., Tumino, R., Sacerdote, C., Bueno-De-Mesquita, B., Vermeulen, R.C.H., Weiderpass, E., Nøst, T.H., Lasheras, C., Rodríguez-Barranco, M., Huerta, J.M., Barricarte, A., Dorronsoro, M., Hultdin, J., Gunter, M., Riboli, E., Aleksandrova, K., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
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Plasma measurements ,Inflammation ,Chronic diseases ,Polyphenols ,C-reactive protein - Abstract
Experimental studies have reported on the anti-inflammatory properties of polyphenols. However, results from epidemiological investigations have been inconsistent and especially studies using biomarkers for assessment of polyphenol intake have been scant. We aimed to characterise the association between plasma concentrations of thirty-five polyphenol compounds and low-grade systemic inflammation state as measured by high-sensitivity C-reactive protein (hsCRP). A cross-sectional data analysis was performed based on 315 participants in the European Prospective Investigation into Cancer and Nutrition cohort with available measurements of plasma polyphenols and hsCRP. In logistic regression analysis, the OR and 95 % CI of elevated serum hsCRP (>3 mg/l) were calculated within quartiles and per standard deviation higher level of plasma polyphenol concentrations. In a multivariable-adjusted model, the sum of plasma concentrations of all polyphenols measured (per standard deviation) was associated with 29 (95 % CI 50, 1) % lower odds of elevated hsCRP. In the class of flavonoids, daidzein was inversely associated with elevated hsCRP (OR 0·66, 95 % CI 0·46, 0·96). Among phenolic acids, statistically significant associations were observed for 3,5-dihydroxyphenylpropionic acid (OR 0·58, 95 % CI 0·39, 0·86), 3,4-dihydroxyphenylpropionic acid (OR 0·63, 95 % CI 0·46, 0·87), ferulic acid (OR 0·65, 95 % CI 0·44, 0·96) and caffeic acid (OR 0·69, 95 % CI 0·51, 0·93). The odds of elevated hsCRP were significantly reduced for hydroxytyrosol (OR 0·67, 95 % CI 0·48, 0·93). The present study showed that polyphenol biomarkers are associated with lower odds of elevated hsCRP. Whether diet rich in bioactive polyphenol compounds could be an effective strategy to prevent or modulate deleterious health effects of inflammation should be addressed by further well-powered longitudinal studies.
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- 2020
15. Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case–control sets from EPIC
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Schmidt, J.A. Fensom, G.K. Rinaldi, S. Scalbert, A. Appleby, P.N. Achaintre, D. Gicquiau, A. Gunter, M.J. Ferrari, P. Kaaks, R. Kühn, T. Boeing, H. Trichopoulou, A. Karakatsani, A. Peppa, E. Palli, D. Sieri, S. Tumino, R. Bueno-de-Mesquita, B. Agudo, A. Sánchez, M.-J. Chirlaque, M.-D. Ardanaz, E. Larrañaga, N. Perez-Cornago, A. Assi, N. Riboli, E. Tsilidis, K.K. Key, T.J. Travis, R.C.
- Abstract
Metabolomics may reveal novel insights into the etiology of prostate cancer, for which few risk factors are established. We investigated the association between patterns in baseline plasma metabolite profile and subsequent prostate cancer risk, using data from 3,057 matched case–control sets from the European Prospective Investigation into Cancer and Nutrition (EPIC). We measured 119 metabolite concentrations in plasma samples, collected on average 9.4 years before diagnosis, by mass spectrometry (AbsoluteIDQ p180 Kit, Biocrates Life Sciences AG). Metabolite patterns were identified using treelet transform, a statistical method for identification of groups of correlated metabolites. Associations of metabolite patterns with prostate cancer risk (OR1SD) were estimated by conditional logistic regression. Supplementary analyses were conducted for metabolite patterns derived using principal component analysis and for individual metabolites. Men with metabolite profiles characterized by higher concentrations of either phosphatidylcholines or hydroxysphingomyelins (OR1SD = 0.77, 95% confidence interval 0.66–0.89), acylcarnitines C18:1 and C18:2, glutamate, ornithine and taurine (OR1SD = 0.72, 0.57–0.90), or lysophosphatidylcholines (OR1SD = 0.81, 0.69–0.95) had lower risk of advanced stage prostate cancer at diagnosis, with no evidence of heterogeneity by follow-up time. Similar associations were observed for the two former patterns with aggressive disease risk (the more aggressive subset of advanced stage), while the latter pattern was inversely related to risk of prostate cancer death (OR1SD = 0.77, 0.61–0.96). No associations were observed for prostate cancer overall or less aggressive tumor subtypes. In conclusion, metabolite patterns may be related to lower risk of more aggressive prostate tumors and prostate cancer death, and might be relevant to etiology of advanced stage prostate cancer. © 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC
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- 2020
16. Plasma polyphenols associated with lower high-sensitivity C-reactive protein concentrations: A cross-sectional study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort
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Harms, L.M. Scalbert, A. Zamora-Ros, R. Rinaldi, S. Jenab, M. Murphy, N. Achaintre, D. Tjønneland, A. Olsen, A. Overvad, K. Romana Mancini, F. Mahamat-Saleh, Y. Boutron-Ruault, M.-C. Kühn, T. Katzke, V. Trichopoulou, A. Martimianaki, G. Karakatsani, A. Palli, D. Panico, S. Sieri, S. Tumino, R. Sacerdote, C. Bueno-De-Mesquita, B. Vermeulen, R.C.H. Weiderpass, E. Nøst, T.H. Lasheras, C. Rodríguez-Barranco, M. Huerta, J.M. Barricarte, A. Dorronsoro, M. Hultdin, J. Schmidt, J.A. Gunter, M. Riboli, E. Aleksandrova, K.
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food and beverages - Abstract
Experimental studies have reported on the anti-inflammatory properties of polyphenols. However, results from epidemiological investigations have been inconsistent and especially studies using biomarkers for assessment of polyphenol intake have been scant. We aimed to characterise the association between plasma concentrations of thirty-five polyphenol compounds and low-grade systemic inflammation state as measured by high-sensitivity C-reactive protein (hsCRP). A cross-sectional data analysis was performed based on 315 participants in the European Prospective Investigation into Cancer and Nutrition cohort with available measurements of plasma polyphenols and hsCRP. In logistic regression analysis, the OR and 95 % CI of elevated serum hsCRP (>3 mg/l) were calculated within quartiles and per standard deviation higher level of plasma polyphenol concentrations. In a multivariable-adjusted model, the sum of plasma concentrations of all polyphenols measured (per standard deviation) was associated with 29 (95 % CI 50, 1) % lower odds of elevated hsCRP. In the class of flavonoids, daidzein was inversely associated with elevated hsCRP (OR 0·66, 95 % CI 0·46, 0·96). Among phenolic acids, statistically significant associations were observed for 3,5-dihydroxyphenylpropionic acid (OR 0·58, 95 % CI 0·39, 0·86), 3,4-dihydroxyphenylpropionic acid (OR 0·63, 95 % CI 0·46, 0·87), ferulic acid (OR 0·65, 95 % CI 0·44, 0·96) and caffeic acid (OR 0·69, 95 % CI 0·51, 0·93). The odds of elevated hsCRP were significantly reduced for hydroxytyrosol (OR 0·67, 95 % CI 0·48, 0·93). The present study showed that polyphenol biomarkers are associated with lower odds of elevated hsCRP. Whether diet rich in bioactive polyphenol compounds could be an effective strategy to prevent or modulate deleterious health effects of inflammation should be addressed by further well-powered longitudinal studies. © The Authors 2019.
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- 2020
17. Plasma polyphenols associated with lower high-sensitivity C-reactive protein concentrations:a cross-sectional study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort
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Harms, L.M., Scalbert, A., Zamora-Ros, R., Rinaldi, S., Jenab, M., Murphy, N., Achaintre, D., Tjønneland, A., Olsen, A., Overvad, K., Romana Mancini, F., Mahamat-Saleh, Y., Boutron-Ruault, M.-C., Kühn, T., Katzke, V., Trichopoulou, A., Martimianaki, G., Karakatsani, A., Palli, D., Panico, S., Sieri, S., Tumino, R., Sacerdote, C., Bueno-De-Mesquita, B., Vermeulen, R.C.H., Weiderpass, E., Nøst, T.H., Lasheras, C., Rodríguez-Barranco, M., Huerta, J.M., Barricarte, A., Dorronsoro, M., Hultdin, J., Gunter, M., Riboli, E., Aleksandrova, K., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), PI13/00061, PI13/01162 RD06/0020 6236 Kræftens Bekæmpelse, DCS Deutsches Krebsforschungszentrum, DKFZ Centre International de Recherche sur le Cancer, CIRC College of Environmental Science and Forestry, State University of New York, ESF National Research Council, NRC Medical Research Council, MRC: CP15/00100, MR/M012190/1 Cancer Research UK, CRUK: C8221/A19170 World Cancer Research Fund, WCRF: ERC-2009-AdG 232997 European Commission, EC Institut National de la Santé et de la Recherche Médicale, Inserm Bundesministerium für Bildung und Forschung, BMBF Cancerfonden Ministerie van Volksgezondheid, Welzijn en Sport, VWS Ligue Contre le Cancer VetenskapsrÃ¥det, VR Instituto de Salud Carlos III, ISCIII NordForsk European Social Fund, ESF Associazione Italiana per la Ricerca sul Cancro, AIRC Deutsche Krebshilfe Mutuelle Générale de l'Education Nationale, MGEN, The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale and Institut National de la Santé et de la Recherche Médicale (INSERM) (France), German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany), the Hellenic Health Foundation (Greece), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands), ERC-2009-AdG 232997 and Nordforsk, Nordic Centre of Excellence Programme on Food, Nutrition and Health (Norway), Health Research Fund (FIS), PI13/00061 to Granada, PI13/01162 to EPIC-Murcia), Regional Governments of Andalucía, Asturias, Basque Country, Murcia (no. 6236) and Navarra, ISCIII RETIC (RD06/0020) (Spain), Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden), Cancer Research UK (14136 to EPIC-Norfolk, and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford) (UK). R. Z.-R. is supported by the ‘Miguel Servet’ programme (CP15/00100) from the Institute of Health Carlos III and the European Social Fund (ESF).
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Male ,0301 basic medicine ,Medicine (miscellaneous) ,Gastroenterology ,Cohort Studies ,chronic diseases ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,Neoplasms ,Caffeic acid ,Medicine ,Malalties cròniques ,odds ratio ,Prospective Studies ,Prospective cohort study ,Nutrition and Dietetics ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,biology ,food and beverages ,Full Papers ,Middle Aged ,3. Good health ,European Prospective Investigation into Cancer and Nutrition ,Näringslära ,Europe ,hormone replacement therapy ,Polifenols ,Cohort ,Female ,standard deviation ,Human and Clinical Nutrition ,Cohort study ,Adult ,Plasma measurements ,medicine.medical_specialty ,030209 endocrinology & metabolism ,body mass index ,Diet Surveys ,C-reactive protein ,03 medical and health sciences ,Internal medicine ,Humans ,polyphenols ,Aged ,Inflammation ,030109 nutrition & dietetics ,business.industry ,Daidzein ,Polyphenols ,Diet ,cardiovascular diseases ,Cross-Sectional Studies ,Nutrition Assessment ,chemistry ,confidence interval ,Polyphenol ,plasma measurements ,inflammation ,Chronic diseases ,randomized controlled trial ,biology.protein ,high-sensitivity C-reactive protein ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,business ,[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition ,Biomarkers - Abstract
Experimental studies have reported on the anti-inflammatory properties of polyphenols. However, results from epidemiological investigations have been inconsistent and especially studies using biomarkers for assessment of polyphenol intake have been scant. We aimed to characterise the association between plasma concentrations of thirty-five polyphenol compounds and low-grade systemic inflammation state as measured by high-sensitivity C-reactive protein (hsCRP). A cross-sectional data analysis was performed based on 315 participants in the European Prospective Investigation into Cancer and Nutrition cohort with available measurements of plasma polyphenols and hsCRP. In logistic regression analysis, the OR and 95 % CI of elevated serum hsCRP (>3 mg/l) were calculated within quartiles and per standard deviation higher level of plasma polyphenol concentrations. In a multivariable-adjusted model, the sum of plasma concentrations of all polyphenols measured (per standard deviation) was associated with 29 (95 % CI 50, 1) % lower odds of elevated hsCRP. In the class of flavonoids, daidzein was inversely associated with elevated hsCRP (OR 0 center dot 66, 95 % CI 0 center dot 46, 0 center dot 96). Among phenolic acids, statistically significant associations were observed for 3,5-dihydroxyphenylpropionic acid (OR 0 center dot 58, 95 % CI 0 center dot 39, 0 center dot 86), 3,4-dihydroxyphenylpropionic acid (OR 0 center dot 63, 95 % CI 0 center dot 46, 0 center dot 87), ferulic acid (OR 0 center dot 65, 95 % CI 0 center dot 44, 0 center dot 96) and caffeic acid (OR 0 center dot 69, 95 % CI 0 center dot 51, 0 center dot 93). The odds of elevated hsCRP were significantly reduced for hydroxytyrosol (OR 0 center dot 67, 95 % CI 0 center dot 48, 0 center dot 93). The present study showed that polyphenol biomarkers are associated with lower odds of elevated hsCRP. Whether diet rich in bioactive polyphenol compounds could be an effective strategy to prevent or modulate deleterious health effects of inflammation should be addressed by further well-powered longitudinal studies.
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- 2020
- Full Text
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18. Correlations between urinary concentrations and dietary intakes of flavonols in the European Prospective Investigation into Cancer and Nutrition (EPIC) study
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Garro-Aguilar, Y. Cayssials, V. Achaintre, D. Boeing, H. Mancini, F.R. Mahamat-Saleh, Y. Boutron-Ruault, M.-C. Kühn, T. Katzke, V. Trichopoulou, A. Karakatsani, A. Thriskos, P. Masala, G. Grioni, S. Santucci de Magistris, M. Tumino, R. Ricceri, F. Huybrechts, I. Agudo, A. Scalbert, A. Zamora-Ros, R.
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food and beverages - Abstract
Purpose: In this study, we aimed to study the correlation between acute and habitual intakes of flavonols, their main food sources and their 24-h urinary concentrations in an European population. Methods: A 24-h dietary recall (24-HDR) and 24-h urine samples were collected on the same day from a convenience subsample of 475 men and women from four countries (France, Italy, Greece and Germany) of the European Prospective Investigation into Cancer and Nutrition (EPIC) study. A standardized 24-HDR software and a country/centre-specific validated dietary questionnaire (DQ) were used to collect acute and habitual dietary data, respectively. The intake of dietary flavonols was estimated using the Phenol-Explorer database. Urinary flavonols (quercetin, isorhamnetin, and kaempferol) were analysed using tandem mass spectrometry with a previous enzymatic hydrolysis. Results: Weak partial Spearman correlations between both dietary acute and habitual intake and urinary concentrations of quercetin (both Rpartial ~ 0.3) and total flavonols (both Rpartial ~ 0.2) were observed. No significant correlations were found for kaempferol and isorhamentin. Regarding flavonol-rich foods, weak correlations were found between urinary concentrations of quercetin and total flavonols and the acute intake of onions and garlics, fruits, tea, and herbal tea (all Rpartial ~ 0.2). For habitual intake, statistically significant correlations were only found between urinary quercetin concentration and herbal tea (Rpartial = 0.345) and between urinary total flavonol concentration and tea, and herbal tea consumption (Rpartial ~ 0.2). Conclusions: Our results suggest that urinary quercetin level can be used as potential concentration biomarkers of both acute and habitual quercetin intake, while urinary concentrations of flavonols are unlikely to be useful biomarkers of individual flavonol-rich foods. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
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- 2020
19. Urinary flavanone concentrations as biomarkers of dietary flavanone intakes in the European Prospective Investigation into Cancer and Nutrition (EPIC) study
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Tahiri, I. Garro-Aguilar, Y. Cayssials, V. Achaintre, D. Mancini, F.R. Mahamat-Saleh, Y. Boutron-Ruault, M.-C. Kühn, T. Katzke, V. Boeing, H. Trichopoulou, A. Karakatsani, A. Valanou, E. Palli, D. Sieri, S. Santucci De Magistris, M. Tumino, R. MacCiotta, A. Huybrechts, I. Agudo, A. Scalbert, A. Zamora-Ros, R.
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food and beverages - Abstract
In the present study, the aim was to investigate the correlation between the acute and habitual dietary intake of flavanones, their main food sources and the concentrations of aglycones naringenin and hesperetin in 24 h urine in a European population. A 24-h dietary recall (24-HDR) and a 24-h urine sample were collected the same day from a subsample of 475 people from four different countries of the European Prospective Investigation into Cancer and Nutrition study. Acute and habitual dietary data were captured through a standardised 24-HDR and a country/centre-specific validated dietary questionnaire (DQ). The intake of dietary flavanones was estimated using the Phenol-Explorer database. Urinary flavanones (naringenin and hesperetin) were analysed using tandem MS with a previous enzymatic hydrolysis. Weak partial correlation coefficients were found between urinary flavanone concentrations and both acute and habitual dietary flavanone intakes (Rpartial = 0·14-0·17). Partial correlations were stronger between urinary excretions and acute intakes of citrus fruit and juices (Rpartial ∼ 0·6) than with habitual intakes of citrus fruit and juices (Rpartial ∼ 0·24). In conclusion, according to our results, urinary excretion of flavanones can be considered a good biomarker of acute citrus intake. However, low associations between habitual flavanone intake and urinary excretion suggest a possible inaccurate estimation of their intake or a too sporadic intake. For assessing habitual exposures, multiple urinary collections may be needed. These results show that none of the approaches tested is ideal, and the use of both DQ and biomarkers can be recommended. © 2019 The Author(s).
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- 2020
20. Plasma metabolites associated with colorectal cancer stage: Findings from an international consortium
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Geijsen, A., Roekel, E.H. van, Duijnhoven, F. J. B. van, Achaintre, D., Bachleitner-Hofmann, T., Baierl, A., Bergmann, M.M., Boehm, J., Bours, M.J., Brenner, H., Breukink, S.O., Brezina, S., Chang-Claude, J., Herpel, E., Wilt, J.H.W. de, Gicquiau, A., Gigic, B., Gumpenberger, T., Hansson, B.M.E., Hoffmeister, M., Holowatyj, A.N., Karner-Hanusch, J., Keski-Rahkonen, P., Keulen, E.T.P., Koole, J.L., Leeb, G., Ose, J., Schirmacher, P., Schneider, Markus, Schrotz-King, P., Stift, A., Ulvik, A., Vogelaar, F.J., Wesselink, E., Zutphen, M. van, Gsur, A., Habermann, N., Kampman, E., Scalbert, A., Ueland, P.M., Ulrich, A.B., Ulrich, C.M., Weijenberg, M.P., Kok, D.E., Geijsen, A., Roekel, E.H. van, Duijnhoven, F. J. B. van, Achaintre, D., Bachleitner-Hofmann, T., Baierl, A., Bergmann, M.M., Boehm, J., Bours, M.J., Brenner, H., Breukink, S.O., Brezina, S., Chang-Claude, J., Herpel, E., Wilt, J.H.W. de, Gicquiau, A., Gigic, B., Gumpenberger, T., Hansson, B.M.E., Hoffmeister, M., Holowatyj, A.N., Karner-Hanusch, J., Keski-Rahkonen, P., Keulen, E.T.P., Koole, J.L., Leeb, G., Ose, J., Schirmacher, P., Schneider, Markus, Schrotz-King, P., Stift, A., Ulvik, A., Vogelaar, F.J., Wesselink, E., Zutphen, M. van, Gsur, A., Habermann, N., Kampman, E., Scalbert, A., Ueland, P.M., Ulrich, A.B., Ulrich, C.M., Weijenberg, M.P., and Kok, D.E.
- Abstract
Contains fulltext : 220955.pdf (Publisher’s version ) (Open Access), Colorectal cancer is the second most common cause of cancer-related death globally, with marked differences in prognosis by disease stage at diagnosis. We studied circulating metabolites in relation to disease stage to improve the understanding of metabolic pathways related to colorectal cancer progression. We investigated plasma concentrations of 130 metabolites among 744 Stages I-IV colorectal cancer patients from ongoing cohort studies. Plasma samples, collected at diagnosis, were analyzed with liquid chromatography-mass spectrometry using the Biocrates AbsoluteIDQ™ p180 kit. We assessed associations between metabolite concentrations and stage using multinomial and multivariable logistic regression models. Analyses were adjusted for potential confounders as well as multiple testing using false discovery rate (FDR) correction. Patients presented with 23, 28, 39 and 10% of Stages I-IV disease, respectively. Concentrations of sphingomyelin C26:0 were lower in Stage III patients compared to Stage I patients (p(FDR) < 0.05). Concentrations of sphingomyelin C18:0 and phosphatidylcholine (diacyl) C32:0 were statistically significantly higher, while citrulline, histidine, phosphatidylcholine (diacyl) C34:4, phosphatidylcholine (acyl-alkyl) C40:1 and lysophosphatidylcholines (acyl) C16:0 and C17:0 concentrations were lower in Stage IV compared to Stage I patients (p(FDR) < 0.05). Our results suggest that metabolic pathways involving among others citrulline and histidine, implicated previously in colorectal cancer development, may also be linked to colorectal cancer progression.
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- 2020
21. Plasma polyphenols associated with lower high-sensitivity C-reactive protein concentrations: A cross-sectional study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort
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IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Harms, L.M., Scalbert, A., Zamora-Ros, R., Rinaldi, S., Jenab, M., Murphy, N., Achaintre, D., Tjønneland, A., Olsen, A., Overvad, K., Romana Mancini, F., Mahamat-Saleh, Y., Boutron-Ruault, M.-C., Kühn, T., Katzke, V., Trichopoulou, A., Martimianaki, G., Karakatsani, A., Palli, D., Panico, S., Sieri, S., Tumino, R., Sacerdote, C., Bueno-De-Mesquita, B., Vermeulen, R.C.H., Weiderpass, E., Nøst, T.H., Lasheras, C., Rodríguez-Barranco, M., Huerta, J.M., Barricarte, A., Dorronsoro, M., Hultdin, J., Gunter, M., Riboli, E., Aleksandrova, K., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Harms, L.M., Scalbert, A., Zamora-Ros, R., Rinaldi, S., Jenab, M., Murphy, N., Achaintre, D., Tjønneland, A., Olsen, A., Overvad, K., Romana Mancini, F., Mahamat-Saleh, Y., Boutron-Ruault, M.-C., Kühn, T., Katzke, V., Trichopoulou, A., Martimianaki, G., Karakatsani, A., Palli, D., Panico, S., Sieri, S., Tumino, R., Sacerdote, C., Bueno-De-Mesquita, B., Vermeulen, R.C.H., Weiderpass, E., Nøst, T.H., Lasheras, C., Rodríguez-Barranco, M., Huerta, J.M., Barricarte, A., Dorronsoro, M., Hultdin, J., Gunter, M., Riboli, E., and Aleksandrova, K.
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- 2020
22. Prospective analysis of circulating metabolites and breast cancer in EPIC
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His, M. Viallon, V. Dossus, L. Gicquiau, A. Achaintre, D. Scalbert, A. Ferrari, P. Romieu, I. Onland-Moret, N.C. Weiderpass, E. Dahm, C.C. Overvad, K. Olsen, A. Tjønneland, A. Fournier, A. Rothwell, J.A. Severi, G. Kühn, T. Fortner, R.T. Boeing, H. Trichopoulou, A. Karakatsani, A. Martimianaki, G. Masala, G. Sieri, S. Tumino, R. Vineis, P. Panico, S. Van Gils, C.H. Nøst, T.H. Sandanger, T.M. Skeie, G. Quirós, J.R. Agudo, A. Sánchez, M.-J. Amiano, P. Huerta, J.M. Ardanaz, E. Schmidt, J.A. Travis, R.C. Riboli, E. Tsilidis, K.K. Christakoudi, S. Gunter, M.J. Rinaldi, S.
- Abstract
Background: Metabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk. Methods: A nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (n = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression. Results: Among women not using hormones at baseline (n = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70-0.90), asparagine (OR = 0.83 (0.74-0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76-0.90)), aa C36:3 (OR = 0.84 (0.77-0.93)), ae C34:2 (OR = 0.85 (0.78-0.94)), ae C36:2 (OR = 0.85 (0.78-0.88)), and ae C38:2 (OR = 0.84 (0.76-0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11-1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06-1.24)) and PC ae C36:3 (OR = 0.88 (0.82-0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity. Conclusions: These findings point to potentially novel pathways and biomarkers of breast cancer development. Results warrant replication in other epidemiological studies. © 2019 The Author(s).
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- 2019
23. Prospective analysis of circulating metabolites and breast cancer in EPIC
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His, M, Viallon, V, Dossus, L, Gicquiau, A, Achaintre, D, Scalbert, A, Ferrari, P, Romieu, I, Onland-Moret, NC, Weiderpass, E, Dahm, CC, Overvad, K, Olsen, A, Tjonneland, A, Fournier, A, Rothwell, JA, Severi, G, Kuehn, T, Fortner, RT, Boeing, H, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Masala, G, Sieri, S, Tumino, R, Vineis, P, Panico, S, van Gils, CH, Nost, TH, Sandanger, TM, Skeie, G, Quiros, JR, Agudo, A, Sanchez, M-J, Amiano, P, Maria Huerta, J, Ardanaz, E, Schmidt, JA, Travis, RC, Riboli, E, Tsilidis, KK, Christakoudi, S, Gunter, MJ, Rinaldi, S, His, M, Viallon, V, Dossus, L, Gicquiau, A, Achaintre, D, Scalbert, A, Ferrari, P, Romieu, I, Onland-Moret, NC, Weiderpass, E, Dahm, CC, Overvad, K, Olsen, A, Tjonneland, A, Fournier, A, Rothwell, JA, Severi, G, Kuehn, T, Fortner, RT, Boeing, H, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Masala, G, Sieri, S, Tumino, R, Vineis, P, Panico, S, van Gils, CH, Nost, TH, Sandanger, TM, Skeie, G, Quiros, JR, Agudo, A, Sanchez, M-J, Amiano, P, Maria Huerta, J, Ardanaz, E, Schmidt, JA, Travis, RC, Riboli, E, Tsilidis, KK, Christakoudi, S, Gunter, MJ, and Rinaldi, S
- Abstract
BACKGROUND: Metabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk. METHODS: A nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (n = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression. RESULTS: Among women not using hormones at baseline (n = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70-0.90), asparagine (OR = 0.83 (0.74-0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76-0.90)), aa C36:3 (OR = 0.84 (0.77-0.93)), ae C34:2 (OR = 0.85 (0.78-0.94)), ae C36:2 (OR = 0.85 (0.78-0.88)), and ae C38:2 (OR = 0.84 (0.76-0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11-1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06-1.24)) and PC ae C36:3 (OR = 0.88 (0.82-0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity. CONCLUSIONS: These findings point to potentially novel pathways and biomarkers of breast cancer development. Results warrant replication in other epidemiological studies.
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- 2019
24. A prospective evaluation of plasma polyphenol levels and colon cancer risk
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Murphy, N. Achaintre, D. Zamora-Ros, R. Jenab, M. Boutron-Ruault, M.-C. Carbonnel, F. Savoye, I. Kaaks, R. Kühn, T. Boeing, H. Aleksandrova, K. Tjønneland, A. Kyrø, C. Overvad, K. Quirós, J.R. Sánchez, M.-J. Altzibar, J.M. María Huerta, J. Barricarte, A. Khaw, K.-T. Bradbury, K.E. Perez-Cornago, A. Trichopoulou, A. Karakatsani, A. Peppa, E. Palli, D. Grioni, S. Tumino, R. Sacerdote, C. Panico, S. Bueno-de-Mesquita, H.B. Peeters, P.H. Rutegård, M. Johansson, I. Freisling, H. Noh, H. Cross, A.J. Vineis, P. Tsilidis, K. Gunter, M.J. Scalbert, A.
- Abstract
Polyphenols have been shown to exert biological activity in experimental models of colon cancer; however, human data linking specific polyphenols to colon cancer is limited. We assessed the relationship between pre-diagnostic plasma polyphenols and colon cancer risk in a case–control study nested within the European Prospective Investigation into Cancer and Nutrition study. Using high pressure liquid chromatography coupled to tandem mass spectrometry, we measured concentrations of 35 polyphenols in plasma from 809 incident colon cancer cases and 809 matched controls. We used multivariable adjusted conditional logistic regression models that included established colon cancer risk factors. The false discovery rate (q values ) was computed to control for multiple comparisons. All statistical tests were two-sided. After false discovery rate correction and in continuous log 2 -transformed multivariable models, equol (odds ratio [OR] per log 2 -value, 0.86, 95% confidence interval [95% CI] = 0.79–0.93; q value = 0.01) and homovanillic acid (OR per log 2 -value, 1.46, 95% CI = 1.16–1.84; q value = 0.02) were associated with colon cancer risk. Comparing extreme fifths, equol concentrations were inversely associated with colon cancer risk (OR = 0.61, 95% CI = 0.41–0.91, p trend = 0.003), while homovanillic acid concentrations were positively associated with colon cancer development (OR = 1.72, 95% CI = 1.17–2.53, p trend < 0.0001). No heterogeneity for these associations was observed by sex and across other colon cancer risk factors. The remaining polyphenols were not associated with colon cancer risk. Higher equol concentrations were associated with lower risk, and higher homovanillic acid concentrations were associated with greater risk of colon cancer. These findings support a potential role for specific polyphenols in colon tumorigenesis. © 2018 The Authors International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC
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- 2018
25. Circulating metabolites associated with alcohol intake in the european prospective investigation into cancer and nutrition cohort
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van Roekel, E.H. Trijsburg, L. Assi, N. Carayol, M. Achaintre, D. Murphy, N. Rinaldi, S. Schmidt, J.A. Stepien, M. Kaaks, R. Kühn, T. Boeing, H. Iqbal, K. Palli, D. Krogh, V. Tumino, R. Ricceri, F. Panico, S. Peeters, P.H. Bueno-de-Mesquita, B. Ardanaz, E. Lujan-Barroso, L. Quirós, J.R. Huerta, J.M. Molina-Portillo, E. Dorronsoro, M. Tsilidis, K.K. Riboli, E. Rostgaard-Hansen, A.L. Tjønneland, A. Overvad, K. Weiderpass, E. Boutron-Ruault, M.-C. Severi, G. Trichopoulou, A. Karakatsani, A. Kotanidou, A. Håkansson, A. Malm, J. Weijenberg, M.P. Gunter, M.J. Jenab, M. Johansson, M. Travis, R.C. Scalbert, A. Ferrari, P.
- Abstract
Identifying the metabolites associated with alcohol consumption may provide insights into the metabolic pathways through which alcohol may affect human health. We studied associations of alcohol consumption with circulating concentrations of 123 metabolites among 2974 healthy participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Alcohol consumption at recruitment was self-reported through dietary questionnaires. Metabolite concentrations were measured by tandem mass spectrometry (BIOCRATES AbsoluteIDQTMp180 kit). Data were randomly divided into discovery (2/3) and replication (1/3) sets. Multivariable linear regression models were used to evaluate confounder-adjusted associations of alcohol consumption withmetabolite concentrations. Metabolites significantly related to alcohol intake in the discovery set (FDR q-value < 0.05) were further tested in the replication set (Bonferroni-corrected p-value < 0.05). Of the 72metabolites significantly related to alcohol intake in the discovery set, 34 were also significant in the replication analysis, including three acylcarnitines, the amino acid citrulline, four lysophosphatidylcholines, 13 diacylphosphatidylcholines, seven acyl-alkylphosphatidylcholines, and six sphingomyelins. Our results confirmed earlier findings that alcohol consumption was associated with several lipid metabolites, and possibly also with specific acylcarnitines and amino acids. This provides further leads for future research studies aiming at elucidating the mechanisms underlying the effects of alcohol in relation to morbid conditions. © 2018 by the authors.
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- 2018
26. Circulating Metabolites Associated with Alcohol Intake in the European Prospective Investigation into Cancer and Nutrition Cohort
- Author
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van Roekel, EH, Trijsburg, L, Assi, N, Carayol, M, Achaintre, D, Murphy, N, Rinaldi, S, Schmidt, JA, Stepien, M, Kaaks, R, Kuehn, T, Boeing, H, Iqbal, K, Palli, D, Krogh, V, Tumino, R, Ricceri, F, Panico, S, Peeters, PH, Bueno-de-Mesquita, B, Ardanaz, E, Lujan-Barroso, L, Ramon Quiros, J, Huerta, JM, Molina-Portillo, E, Dorronsoro, M, Tsilidis, KK, Riboli, E, Rostgaard-Hansen, AL, Tjonneland, A, Overvad, K, Weiderpass, E, Boutron-Ruault, M-C, Severi, G, Trichopoulou, A, Karakatsani, A, Kotanidou, A, Hakansson, A, Malm, J, Weijenberg, MP, Gunter, MJ, Jenab, M, Johansson, M, Travis, RC, Scalbert, A, Ferrari, P, van Roekel, EH, Trijsburg, L, Assi, N, Carayol, M, Achaintre, D, Murphy, N, Rinaldi, S, Schmidt, JA, Stepien, M, Kaaks, R, Kuehn, T, Boeing, H, Iqbal, K, Palli, D, Krogh, V, Tumino, R, Ricceri, F, Panico, S, Peeters, PH, Bueno-de-Mesquita, B, Ardanaz, E, Lujan-Barroso, L, Ramon Quiros, J, Huerta, JM, Molina-Portillo, E, Dorronsoro, M, Tsilidis, KK, Riboli, E, Rostgaard-Hansen, AL, Tjonneland, A, Overvad, K, Weiderpass, E, Boutron-Ruault, M-C, Severi, G, Trichopoulou, A, Karakatsani, A, Kotanidou, A, Hakansson, A, Malm, J, Weijenberg, MP, Gunter, MJ, Jenab, M, Johansson, M, Travis, RC, Scalbert, A, and Ferrari, P
- Abstract
Identifying the metabolites associated with alcohol consumption may provide insights into the metabolic pathways through which alcohol may affect human health. We studied associations of alcohol consumption with circulating concentrations of 123 metabolites among 2974 healthy participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Alcohol consumption at recruitment was self-reported through dietary questionnaires. Metabolite concentrations were measured by tandem mass spectrometry (BIOCRATES AbsoluteIDQTM p180 kit). Data were randomly divided into discovery (2/3) and replication (1/3) sets. Multivariable linear regression models were used to evaluate confounder-adjusted associations of alcohol consumption with metabolite concentrations. Metabolites significantly related to alcohol intake in the discovery set (FDR q-value < 0.05) were further tested in the replication set (Bonferroni-corrected p-value < 0.05). Of the 72 metabolites significantly related to alcohol intake in the discovery set, 34 were also significant in the replication analysis, including three acylcarnitines, the amino acid citrulline, four lysophosphatidylcholines, 13 diacylphosphatidylcholines, seven acyl-alkylphosphatidylcholines, and six sphingomyelins. Our results confirmed earlier findings that alcohol consumption was associated with several lipid metabolites, and possibly also with specific acylcarnitines and amino acids. This provides further leads for future research studies aiming at elucidating the mechanisms underlying the effects of alcohol in relation to morbid conditions.
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- 2018
27. Pre-diagnostic metabolite concentrations and prostate cancer risk in 1077 cases and 1077 matched controls in the European Prospective Investigation into Cancer and Nutrition
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Schmidt, JA, Fensom, GK, Rinaldi, S, Scalbert, A, Appleby, PN, Achaintre, D, Gicquiau, A, Gunter, MJ, Ferrari, P, Kaaks, R, Kühn, T, Floegel, A, Boeing, H, Trichopoulou, A, Lagiou, P, Anifantis, E, Agnoli, C, Palli, D, Trevisan, M, Tumino, R, Bueno-de-Mesquita, HB, Agudo, A, Larrañaga, N, Redondo-Sánchez, D, Barricarte, A, Huerta, JM, Quirós, JM, Wareham, N, Khaw, K-T, Perez-Cornago, A, Johansson, M, Cross, AJ, Tsilidis, KK, Riboli, E, Key, TJ, Travis, RC, Imperial College Trust, Wareham, Nicholas [0000-0003-1422-2993], Khaw, Kay-Tee [0000-0002-8802-2903], and Apollo - University of Cambridge Repository
- Subjects
Male ,Biogenic amines ,lcsh:Medicine ,Mass Spectrometry ,Cohort Studies ,PHOSPHATIDYLCHOLINE ,REPRODUCIBILITY ,Odds Ratio ,Prospective Studies ,Càncer ,Cancer ,SPHINGOMYELIN ,PLASMA ,Medicine (all) ,PROLIFERATION ,11 Medical And Health Sciences ,Middle Aged ,VARIABILITY ,Amino acids ,Life Sciences & Biomedicine ,Research Article ,Acylcarnitines ,Nutritional Status ,European Prospective Investigation into Cancer and Nutrition (EPIC) ,Glycerophospholipids ,Medicine, General & Internal ,SDG 3 - Good Health and Well-being ,Hexose ,General & Internal Medicine ,Metabolomics ,Humans ,Prospective study ,Nutrició ,Nutrition ,Aged ,Sphingolipids ,Science & Technology ,Mass spectrometry ,Prostate cancer risk ,lcsh:R ,Prostatic Neoplasms ,PREVENTION ,Espectrometria de masses ,Logistic Models ,PROSPECTIVE COHORT ,Case-Control Studies ,COLLECTION ,Biomarkers ,Follow-Up Studies - Abstract
Background Little is known about how pre-diagnostic metabolites in blood relate to risk of prostate cancer. We aimed to investigate the prospective association between plasma metabolite concentrations and risk of prostate cancer overall, and by time to diagnosis and tumour characteristics, and risk of death from prostate cancer. Methods In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition, pre-diagnostic plasma concentrations of 122 metabolites (including acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose and sphingolipids) were measured using targeted mass spectrometry (AbsoluteIDQ p180 Kit) and compared between 1077 prostate cancer cases and 1077 matched controls. Risk of prostate cancer associated with metabolite concentrations was estimated by multi-variable conditional logistic regression, and multiple testing was accounted for by using a false discovery rate controlling procedure. Results Seven metabolite concentrations, i.e. acylcarnitine C18:1, amino acids citrulline and trans-4-hydroxyproline, glycerophospholipids PC aa C28:1, PC ae C30:0 and PC ae C30:2, and sphingolipid SM (OH) C14:1, were associated with prostate cancer (p
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- 2017
- Full Text
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28. Pre-diagnostic metabolite concentrations and prostate cancer risk in 1077 cases and 1077 matched controls in the European Prospective Investigation into Cancer and Nutrition
- Author
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Schmidt, J.A. Fensom, G.K. Rinaldi, S. Scalbert, A. Appleby, P.N. Achaintre, D. Gicquiau, A. Gunter, M.J. Ferrari, P. Kaaks, R. Kühn, T. Floegel, A. Boeing, H. Trichopoulou, A. Lagiou, P. Anifantis, E. Agnoli, C. Palli, D. Trevisan, M. Tumino, R. Bueno-de-Mesquita, H.B. Agudo, A. Larrañaga, N. Redondo-Sánchez, D. Barricarte, A. Huerta, J.M. Quirós, J.R. Wareham, N. Khaw, K.-T. Perez-Cornago, A. Johansson, M. Cross, A.J. Tsilidis, K.K. Riboli, E. Key, T.J. Travis, R.C.
- Abstract
Background: Little is known about how pre-diagnostic metabolites in blood relate to risk of prostate cancer. We aimed to investigate the prospective association between plasma metabolite concentrations and risk of prostate cancer overall, and by time to diagnosis and tumour characteristics, and risk of death from prostate cancer. Methods: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition, pre-diagnostic plasma concentrations of 122 metabolites (including acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose and sphingolipids) were measured using targeted mass spectrometry (AbsoluteIDQ p180 Kit) and compared between 1077 prostate cancer cases and 1077 matched controls. Risk of prostate cancer associated with metabolite concentrations was estimated by multi-variable conditional logistic regression, and multiple testing was accounted for by using a false discovery rate controlling procedure. Results: Seven metabolite concentrations, i.e. acylcarnitine C18:1, amino acids citrulline and trans-4-hydroxyproline, glycerophospholipids PC aa C28:1, PC ae C30:0 and PC ae C30:2, and sphingolipid SM (OH) C14:1, were associated with prostate cancer (p < 0.05), but none of the associations were statistically significant after controlling for multiple testing. Citrulline was associated with a decreased risk of prostate cancer (odds ratio (OR1SD) = 0.73; 95% confidence interval (CI) 0.62-0.86; p trend = 0.0002) in the first 5 years of follow-up after taking multiple testing into account, but not after longer follow-up; results for other metabolites did not vary by time to diagnosis. After controlling for multiple testing, 12 glycerophospholipids were inversely associated with advanced stage disease, with risk reduction up to 46% per standard deviation increase in concentration (OR1SD = 0.54; 95% CI 0.40-0.72; p trend = 0.00004 for PC aa C40:3). Death from prostate cancer was associated with higher concentrations of acylcarnitine C3, amino acids methionine and trans-4-hydroxyproline, biogenic amine ADMA, hexose and sphingolipid SM (OH) C14:1 and lower concentration of glycerophospholipid PC aa C42:4. Conclusions: Several metabolites, i.e. C18:1, citrulline, trans-4-hydroxyproline, three glycerophospholipids and SM (OH) C14:1, might be related to prostate cancer. Analyses by time to diagnosis indicated that citrulline may be a marker of subclinical prostate cancer, while other metabolites might be related to aetiology. Several glycerophospholipids were inversely related to advanced stage disease. More prospective data are needed to confirm these associations. © 2017 The Author(s).
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- 2017
29. Evaluation of urinary resveratrol as a biomarker of dietary resveratrol intake in the European Prospective Investigation into Cancer and Nutrition (EPIC) study
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Zamora-Ros, R. Rothwell, J.A. Achaintre, D. Ferrari, P. Boutron-Ruault, M.-C. Mancini, F.R. Affret, A. Kühn, T. Katzke, V. Boeing, H. Küppel, S. Trichopoulou, A. Lagiou, P. La Vecchia, C. Palli, D. Contiero, P. Panico, S. Tumino, R. Ricceri, F. Noh, H. Freisling, H. Romieu, I. Scalbert, A.
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endocrine system diseases ,organic chemicals ,food and beverages ,skin and connective tissue diseases - Abstract
In vitro studies have shown several beneficial properties of resveratrol. Epidemiological evidence is still scarce, probably because of the difficulty in estimating resveratrol exposure accurately. The current study aimed to assess the relationships between acute and habitual dietary resveratrol and wine intake and urinary resveratrol excretion in a European population. A stratified random subsample of 475 men and women from four countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) cross-sectional study, who had provided 24-h urine samples and completed a 24-h dietary recall (24-HDR) on the same day, were included. Acute and habitual dietary data were collected using standardised 24-HDR software and a validated country-specific dietary questionnaire, respectively. Phenol-Explorer was used to estimate the intake of resveratrol and other stilbenes. Urinary resveratrol was analysed using tandem MS. Spearman's correlation coefficients between estimated dietary intakes of resveratrol and other stilbenes and consumption of wine, their main food source, were very high (r>0·9) when measured using dietary questionnaires and were slightly lower with 24-HDR (r>0·8). Partial Spearman's correlations between urinary resveratrol excretion and intake of resveratrol, total stilbenes or wine were found to be higher when using the 24-HDR (R2 partial approximately 0·6) than when using the dietary questionnaires (R2 partial approximately 0·5). Moderate to high correlations between dietary resveratrol, total stilbenes and wine, and urinary resveratrol concentrations were observed. These support the earlier findings that 24-h urinary resveratrol is an effective biomarker of both resveratrol and wine intakes. These correlations also support the validity of the estimation of resveratrol intake using the dietary questionnaire and Phenol-Explorer. © The Authors 2017.
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- 2017
30. Metabolic profiles of male meat eaters, fish eaters, vegetarians, and vegans from the EPIC-Oxford cohort
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Schmidt, JA, Rinaldi, S, Ferrari, P, Carayol, M, Achaintre, D, Scalbert, A, Cross, AJ, Gunter, MJ, Fensom, GK, Appleby, PN, Key, TJA, and Travis, RC
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vegan ,Adult ,Male ,Diet, Vegan ,Meat ,BIOMARKERS ,PHENOTYPES ,DISEASE ,09 Engineering ,DIET ,Cohort Studies ,Tandem Mass Spectrometry ,Animals ,Humans ,Metabolomics ,Prospective Studies ,mass spectrometry ,RISK ,Principal Component Analysis ,Science & Technology ,Nutrition & Dietetics ,vegetarian ,Diet, Vegetarian ,Fishes ,11 Medical And Health Sciences ,Middle Aged ,NUTRITIONAL EPIDEMIOLOGY ,EPIC-Oxford ,Cross-Sectional Studies ,England ,Seafood ,WEIGHT ,Self Report ,Life Sciences & Biomedicine - Abstract
Background: Human metabolism is influenced by dietary factors and lifestyle, environmental, and genetic factors; thus, men who exclude some or all animal products from their diet might have different metabolic profiles than meat eaters.Objective: We aimed to investigate differences in concentrations of 118 circulating metabolites, including acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, and sphingolipids related to lipid, protein, and carbohydrate metabolism between male meat eaters, fish eaters, vegetarians, and vegans from the Oxford arm of the European Prospective Investigation into Cancer and Nutrition.Design: In this cross-sectional study, concentrations of metabolites were measured by mass spectrometry in plasma from 379 men categorized according to their diet group. Differences in mean metabolite concentrations across diet groups were tested by using ANOVA, and a false discovery rate–controlling procedure was used to account for multiple testing. Principal component analysis was used to investigate patterns in metabolic profiles.Results: Concentrations of 79% of metabolites differed significantly by diet group. In the vast majority of these cases, vegans had the lowest concentration, whereas meat eaters most often had the highest concentrations of the acylcarnitines, glycerophospholipids, and sphingolipids, and fish eaters or vegetarians most often had the highest concentrations of the amino acids and a biogenic amine. A clear separation between patterns in the metabolic profiles of the 4 diet groups was seen, with vegans being noticeably different from the other groups because of lower concentrations of some glycerophospholipids and sphingolipids.Conclusions: Metabolic profiles in plasma could effectively differentiate between men from different habitual diet groups, especially vegan men compared with men who consume animal products. The difference in metabolic profiles was mainly explained by the lower concentrations of glycerophospholipids and sphingolipids in vegans.
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- 2016
31. Plasma concentrations and intakes of amino acids in male meat-eaters, fish-eaters, vegetarians and vegans: a cross-sectional analysis in the EPIC-Oxford cohort
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Schmidt, JA, Rinaldi, S, Scalbert, A, Ferrari, P, Achaintre, D, Gunter, MJ, Appleby, PN, Key, TJ, and Travis, RC
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Nutrition & Dietetics ,1111 Nutrition And Dietetics ,0908 Food Sciences ,1106 Human Movement And Sports Science - Abstract
Background/Objectives: We aimed to investigate the differences in plasma concentrations and in intakes of amino acids between male meat-eaters, fish-eaters, vegetarians and vegans in the Oxford arm of the European Prospective Investigation into Cancer and Nutrition. Subjects/Methods: This cross-sectional analysis included 392 men, aged 30–49 years. Plasma amino acid concentrations were measured with a targeted metabolomic approach using mass spectrometry, and dietary intake was assessed using a food frequency questionnaire. Differences between diet groups in mean plasma concentrations and intakes of amino acids were examined using analysis of variance, controlling for potential confounding factors and multiple testing. Results: In plasma, concentrations of 6 out of 21 amino acids varied significantly by diet group, with differences of −13% to +16% between meat-eaters and vegans. Concentrations of methionine, tryptophan and tyrosine were highest in fish-eaters and vegetarians, followed by meat-eaters, and lowest in vegans. A broadly similar pattern was seen for lysine, whereas alanine concentration was highest in fish-eaters and lowest in meat-eaters. For glycine, vegans had the highest concentration and meat-eaters the lowest. Intakes of all 18 dietary amino acids differed by diet group; for the majority of these, intake was highest in meat-eaters followed by fish-eaters, then vegetarians and lowest in vegans (up to 47% lower than in meat-eaters). Conclusions: Men belonging to different habitual diet groups have significantly different plasma concentrations of lysine, methionine, tryptophan, alanine, glycine and tyrosine. However, the differences in plasma concentrations were less marked than and did not necessarily mirror those seen for amino acid intakes.
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- 2015
32. Plasma concentrations and intakes of amino acids in male meat-eaters, fish-eaters, vegetarians and vegans: a cross-sectional analysis in the EPIC-Oxford cohort
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Schmidt, J A, primary, Rinaldi, S, additional, Scalbert, A, additional, Ferrari, P, additional, Achaintre, D, additional, Gunter, M J, additional, Appleby, P N, additional, Key, T J, additional, and Travis, R C, additional
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- 2015
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33. Prospective analysis of circulating metabolites and breast cancer in EPIC
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José María Huerta, Salvatore Panico, Antonia Trichopoulou, Joseph A. Rothwell, Sabina Sieri, Anja Olsen, Christina C. Dahm, Ruth C. Travis, Audrey Gicquiau, Pilar Amiano, Elisabete Weiderpass, N. Charlotte Onland-Moret, Antonio Agudo, Anna Karakatsani, Isabelle Romieu, Paolo Vineis, Mathilde His, Elio Riboli, Marc J. Gunter, Guri Skeie, Tilman Kühn, Augustin Scalbert, Carla H. van Gils, Georgia Martimianaki, Therese Haugdahl Nøst, Anne Tjønneland, Heiner Boeing, Laure Dossus, Pietro Ferrari, Julie A. Schmidt, Rosario Tumino, Konstantinos K. Tsilidis, David Achaintre, Torkjel M. Sandanger, Agnès Fournier, Sofia Christakoudi, María José Sánchez, Vivian Viallon, Renée T. Fortner, Kim Overvad, Giovanna Masala, Sabina Rinaldi, J. Ramón Quirós, Gianluca Severi, Eva Ardanaz, [His,M, Viallon,V, Dossus,L, Gicquiau,A, Achaintre,D, Scalbert,A, Ferrari,P, Weiderpass,E, Gunter,MJ, Rinaldi,S] International Agency for Research on Cancer, Lyon, France. [Romieu,I] Centre for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico. [Onland-Moret,NC, van Gils,CH] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. [Dahm,CC, Overvad,K] Department of Public Health, Aarhus University, Aarhus, Denmark. [Overvad,K] Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark. [Olsen,A, Tjønneland,A] Danish Cancer Society Research Center, Copenhagen, Denmark. [Tjønneland,A] University of Copenhagen, Copenhagen, Denmark. [Fournier,A, Rothwell,JA, Severi,G] CESP, Université Paris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France. [Fournier,A, Severi,G] Gustave Roussy, Villejuif, France. [Kühn,T, Fortner,R] Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Boeing,H] Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany. [Trichopoulou,A, Karakatsani,A, Martimianaki,G] Hellenic Health Foundation, Athens, Greece. [Karakatsani,A] Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, 'ATTIKON' University Hospital, Haidari, Greece. [Masala,G] Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Florence, Italy. [Sieri,S] Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy. [Tumino,R] Cancer Registry and Histopathology Department, 'M.P.Arezzo'Hospital, ASP Ragusa, Ragusa, Italy. [Vineis,P] Italian Institute for Genomic Medicine (IIGM), Turin, Italy. [Vineis,P] MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK. [Panico,S] Dipartimento di medicina clinica e chirurgia, Federico II University, Naples, Italy. [Nøst,TH, Sandanger,TM, Skeie,G] Department of Community Medicine, UiT the Arctic University of Norway, Tromso, Norway. [Skeie,G] Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK. [Quirós,JR] Public Health Directorate, Asturias, Spain. [Agudo,A] Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain. [Sánchez,MJ] Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA, Universidad de Granada, Granada, Spain. [Sánchez,MJ, Amiano,P, Huerta,JM, Ardanaz,E] CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain. [Amiano,P] Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain. [Huerta,JM] Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain. [Ardanaz,E] Navarra Public Health Institute, Pamplona, Spain. [Ardanaz,E] IdiSNA, Navarra Institute for Health Research, Pamplona, Spain. [Schmidt,JA, Travis,RC] Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. [Riboli,E, Tsilidis,KK, Christakoudi,S] Department of Epidemiology and Biostatistics, Imperial College London, St Mary’s Campus, Norfolk Place, London, UK. [Tsilidis,KK] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. [Christakoudi,S] MRC Centre for Transplantation, King’s College London, Great Maze Pond, London, SE1 9RT, UK, This work was funded by the French National Cancer Institute (grant number 2015-166). The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France), German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany), the Hellenic Health Foundation (Greece), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands), European Research Council (ERC-2009-AdG 232997), and Nordforsk, Nordic Centre of Excellence Programme on Food, Nutrition and Health (Norway), Regional Governments of Andalucía, Asturias, Basque Country, Murcia (no. 6236), Navarra, and the CERCA Program (Generalitat de Catalunya) (Spain), Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden), and Cancer Research UK (14136 to EPIC-Norfolk, and C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford) (United Kingdom).
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0301 basic medicine ,Oncology ,lcsh:Medicine ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings] ,Mass Spectrometry ,Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings] ,Cohort Studies ,0302 clinical medicine ,Breast cancer ,Information Science::Information Science::Data Collection::Vital Statistics::Morbidity::Incidence [Medical Subject Headings] ,Risk Factors ,Estudios prospectivos ,Prospective Studies ,Prospective cohort study ,11 Medical and Health Sciences ,Persons::Persons::Age Groups::Adult::Aged [Medical Subject Headings] ,education.field_of_study ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Case-Control Studies [Medical Subject Headings] ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Incidence ,Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biochemistry::Metabolomics [Medical Subject Headings] ,General Medicine ,Metabolómica ,Middle Aged ,metabolomics ,3. Good health ,Research Design ,030220 oncology & carcinogenesis ,Cohort ,Neoplasias de la mama ,Female ,Chemicals and Drugs::Biological Factors::Biological Markers::Biomarkers, Pharmacological [Medical Subject Headings] ,Cohort study ,Research Article ,prospective study ,Adult ,medicine.medical_specialty ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studies [Medical Subject Headings] ,Population ,Breast Neoplasms ,Càncer de mama ,03 medical and health sciences ,breast cancer ,Internal medicine ,Cell Line, Tumor ,General & Internal Medicine ,medicine ,Journal Article ,Metabolomics ,Humans ,Prospective study ,education ,Persons::Persons::Age Groups::Adult [Medical Subject Headings] ,Diseases::Neoplasms::Neoplasms by Site::Breast Neoplasms [Medical Subject Headings] ,Aged ,business.industry ,lcsh:R ,Case-control study ,Cancer ,Persons::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings] ,Odds ratio ,medicine.disease ,030104 developmental biology ,Check Tags::Female [Medical Subject Headings] ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies [Medical Subject Headings] ,Case-Control Studies ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,business ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Chemistry Techniques, Analytical::Mass Spectrometry [Medical Subject Headings] ,Biomarkers - Abstract
BackgroundMetabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk.MethodsA nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (n = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression.ResultsAmong women not using hormones at baseline (n = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70–0.90), asparagine (OR = 0.83 (0.74–0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76–0.90)), aa C36:3 (OR = 0.84 (0.77–0.93)), ae C34:2 (OR = 0.85 (0.78–0.94)), ae C36:2 (OR = 0.85 (0.78–0.88)), and ae C38:2 (OR = 0.84 (0.76–0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11–1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06–1.24)) and PC ae C36:3 (OR = 0.88 (0.82–0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity.ConclusionsThese findings point to potentially novel pathways and biomarkers of breast cancer development. Results warrant replication in other epidemiological studies.
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- 2019
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34. Identification and Replication of Urine Metabolites Associated With Short-Term and Habitual Intake of Sweet and Fatty Snacks in European Children and Adolescents.
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Goerdten J, Muli S, Rattner J, Merdas M, Achaintre D, Yuan L, De Henauw S, Foraita R, Hunsberger M, Huybrechts I, Lissner L, Molnár D, Moreno LA, Russo P, Veidebaum T, Aleksandrova K, Nöthlings U, Oluwagbemigun K, Keski-Rahkonen P, and Floegel A
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- Humans, Child, Male, Female, Adolescent, Europe, Cohort Studies, Feeding Behavior, Diet, Dietary Fats administration & dosage, Metabolomics methods, Snacks, Biomarkers urine
- Abstract
Background: Intake of sweet and fatty snacks may partly contribute to the occurrence of obesity and other health conditions in childhood. Traditional dietary assessment methods may be limited in accurately assessing the intake of sweet and fatty snacks in children. Metabolite biomarkers may aid the objective assessment of children's food intake and support establishing diet-disease relationships., Objectives: The present study aimed to identify biomarkers of sweet and fatty snack intake in 2 independent cohorts of European children., Methods: We used data from the IDEFICS/I.Family cohort from baseline (2007/2008) and 2 follow-up examination waves (2009/2010 and 2013/2014). In total, 1788 urine samples from 599 children were analyzed for untargeted metabolomics using high-resolution liquid chromatography-mass spectrometry. Short-term dietary intake was assessed by 24-h dietary recalls, and habitual dietary intake was calculated with the National Cancer Institute method. Data from the Dortmund Nutritional and Anthropometric Longitudinal Designed (DONALD) cohort of 24-h urine samples (n = 567) and 3-d weighted dietary records were used for external replication of results. Multivariate modeling with unbiased variable selection in R algorithms and linear mixed models were used to identify novel biomarkers. Metabolite features significantly associated with dietary intake were then annotated., Results: In total, 66 metabolites were discovered and found to be statistically significant for chocolate candy; cakes, puddings, and cookies; candy and sweets; ice cream; and crisps. Most of the features (n = 62) could not be annotated. Short-term and habitual chocolate intake were positively associated with theobromine, xanthosine, and cyclo(L-prolyl-L-valyl). These results were replicated in the DONALD cohort. Short-term candy and sweet intake was negatively associated with octenoylcarnitine., Conclusions: Of the potential metabolite biomarkers of sweet and fatty snacks in children, 3 biomarkers of chocolate intake, namely theobromine, xanthosine, and cyclo(L-prolyl-L-valyl), are externally replicated. However, these potential biomarkers require further validation in children., Competing Interests: Conflict of interest AF reports financial support was provided by German Research Foundation. PK-R reports financial support was provided by French National Research Agency. All other authors report no conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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35. Metabolomics signatures of sweetened beverages and added sugar are related to anthropometric measures of adiposity in young individuals: results from a cohort study.
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Muli S, Schnermann ME, Merdas M, Rattner J, Achaintre D, Perrar I, Goerdten J, Alexy U, Scalbert A, Schmid M, Floegel A, Keski-Rahkonen P, Oluwagbemigun K, and Nöthlings U
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- Humans, Adolescent, Male, Female, Child, Cohort Studies, Young Adult, Anthropometry, Sweetening Agents, Body Mass Index, Biomarkers urine, Biomarkers blood, Waist Circumference, Dietary Sugars, Adiposity, Metabolomics, Sugar-Sweetened Beverages
- Abstract
Background: The associations of sweetened beverages (SBs) and added sugar (AS) intake with adiposity are still debated. Metabolomics could provide insights into the mechanisms linking their intake to adiposity., Objectives: We aimed to identify metabolomics biomarkers of intake of low- and no-calorie sweetened beverages (LNCSBs), sugar-sweetened beverages (SSBs), and ASs and to investigate their associations with body mass index, body fat percentage, and waist circumference., Methods: We analyzed 3 data sets from the Dortmund Nutritional and Anthropometric Longitudinally Designed (DONALD) cohort study, of children who provided 2 urine samples (n = 297), adolescents who provided a single urine sample (n = 339), and young adults who provided a single plasma sample (n = 195). Urine and plasma were analyzed using untargeted metabolomics. Dietary intakes were assessed using 3-d weighed dietary records. The random forest, partial least squares, and least absolute shrinkage and selection operator were jointly used for metabolite selection. We examined associations of intakes with metabolites and anthropometric measures using linear and mixed-effects regression., Results: In adolescents, LNCSB were positively associated with acesulfame (β: 0.0012; 95% confidence interval [CI]: 0.0006, 0.0019) and saccharin (β: 0.0009; 95% CI: 0.0002, 0.0015). In children, the association was observed with saccharin (β: 0.0016; 95% CI: 0.0005, 0.0027). In urine and plasma, SSBs were positively associated with 1-methylxanthine (β: 0.0005; 95% CI: 0.0003, 0.0008; and β: 0.0010, 95% CI 0.0004, 0.0015, respectively) and 5-acetylamino-6-amino-3-methyluracil (β: 0.0005; 95% CI: 0.0002, 0.0008; and β: 0.0009; 95% CI: 0.0003, 0.0014, respectively). AS was associated with urinary sucrose (β: 0.0095; 95% CI: 0.0069, 0.0121) in adolescents. Some of the food-related metabolomics profiles were also associated with adiposity measures., Conclusions: We identified SBs- and AS-related metabolites, which may be important for understanding the interplay between these intakes and adiposity in young individuals., Competing Interests: Conflict of interest The authors report no conflicts of interests. Where authors are identified as personnel of the International Agency for Research on Cancer/WHO, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer/WHO., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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36. Association between pre-diagnostic circulating lipid metabolites and colorectal cancer risk: a nested case-control study in the European Prospective Investigation into Cancer and Nutrition (EPIC).
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Harewood R, Rothwell JA, Bešević J, Viallon V, Achaintre D, Gicquiau A, Rinaldi S, Wedekind R, Prehn C, Adamski J, Schmidt JA, Jacobs I, Tjønneland A, Olsen A, Severi G, Kaaks R, Katzke V, Schulze MB, Prada M, Masala G, Agnoli C, Panico S, Sacerdote C, Jakszyn PG, Sánchez MJ, Castilla J, Chirlaque MD, Atxega AA, van Guelpen B, Heath AK, Papier K, Tong TYN, Summers SA, Playdon M, Cross AJ, Keski-Rahkonen P, Chajès V, Murphy N, and Gunter MJ
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- Humans, Female, Male, Prospective Studies, Risk Factors, Case-Control Studies, Sphingolipids, Phosphatidylcholines metabolism, Colorectal Neoplasms diagnosis, Colorectal Neoplasms epidemiology
- Abstract
Background: Altered lipid metabolism is a hallmark of cancer development. However, the role of specific lipid metabolites in colorectal cancer development is uncertain., Methods: In a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC), we examined associations between pre-diagnostic circulating concentrations of 97 lipid metabolites (acylcarnitines, glycerophospholipids and sphingolipids) and colorectal cancer risk. Circulating lipids were measured using targeted mass spectrometry in 1591 incident colorectal cancer cases (55% women) and 1591 matched controls. Multivariable conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between concentrations of individual lipid metabolites and metabolite patterns with colorectal cancer risk., Findings: Of the 97 assayed lipids, 24 were inversely associated (nominally p < 0.05) with colorectal cancer risk. Hydroxysphingomyelin (SM (OH)) C22:2 (OR
per doubling 0.60, 95% CI 0.47-0.77) and acylakyl-phosphatidylcholine (PC ae) C34:3 (ORper doubling 0.71, 95% CI 0.59-0.87) remained associated after multiple comparisons correction. These associations were unaltered after excluding the first 5 years of follow-up after blood collection and were consistent according to sex, age at diagnosis, BMI, and colorectal subsite. Two lipid patterns, one including 26 phosphatidylcholines and all sphingolipids, and another 30 phosphatidylcholines, were weakly inversely associated with colorectal cancer., Interpretation: Elevated pre-diagnostic circulating levels of SM (OH) C22:2 and PC ae C34:3 and lipid patterns including phosphatidylcholines and sphingolipids were associated with lower colorectal cancer risk. This study may provide insight into potential links between specific lipids and colorectal cancer development. Additional prospective studies are needed to validate the observed associations., Funding: World Cancer Research Fund (reference: 2013/1002); European Commission (FP7: BBMRI-LPC; reference: 313010)., Competing Interests: Declaration of interests None declared., (Copyright © 2024. Published by Elsevier B.V.)- Published
- 2024
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37. Reproducibility and dietary correlates of plasma polyphenols in the JPHC-NEXT Protocol Area study.
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Mori N, Murphy N, Sawada N, Achaintre D, Yamaji T, Scalbert A, Ishihara J, Takachi R, Nakamura K, Tanaka J, Iwasaki M, Iso H, Inoue M, Gunter MJ, and Tsugane S
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- Middle Aged, Humans, Coffee, Reproducibility of Results, Prospective Studies, Tea, Gallic Acid, Polyphenols, Catechin
- Abstract
Background: In recent years, an increasing number of epidemiological studies have suggested a role of polyphenols in the prevention of chronic diseases. Prospective cohort studies have typically measured polyphenol concentrations in a single blood sample and the reproducibility of plasma polyphenol measurements is largely unknown., Objective: We evaluated the reproducibility of 35 plasma polyphenols collected at an interval of 1-year. We also examined correlations of these polyphenols with food group intakes calculated from weighed food records (WFR) and food frequency questionnaire (FFQ)., Methods: The study included 227 middle-aged participants from the JPHC-NEXT Protocol Area in Japan. We measured 35 polyphenols in plasma collected at two points 1-year apart. Food group intakes were calculated from 12-day WFR and FFQ. For the reproducibility analysis, the intraclass correlation coefficient (ICC) of 35 polyphenol concentrations were examined between the two points. Pearson's partial correlations was used to assess the correlation between polyphenols and food groups., Results: Moderate- to high ICCs were observed for tea-originated polyphenols such as gallic acid, quercetin, epigallocatechin, and kaempferol - and coffee-derived polyphenols, such as caffeic acid, and ferulic acid. For the dietary analyses, moderate correlations were observed for non-alcoholic beverages intake and epigallocatechin, epicatechin, catechin, and gallic acid. For green tea, higher correlations were observed with these polyphenols., Conclusion: Plasma concentrations of tea and coffee-related polyphenols, except for catechin, had good reproducibility over a 1-year period. The correlations between intake of non-alcoholic beverages, particularly green tea, and tea polyphenols, indicated moderate- to high correlations., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)
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- 2024
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38. 13 CO 2 -labelling and Sampling in Algae for Flux Analysis of Photosynthetic and Central Carbon Metabolism.
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Geffen O, Achaintre D, and Treves H
- Abstract
The flux in photosynthesis can be studied by performing
13 CO2 pulse labelling and analysing the temporal labelling kinetics of metabolic intermediates using gas or liquid chromatography linked to mass spectrometry. Metabolic flux analysis (MFA) is the primary approach for analysing metabolic network function and quantifying intracellular metabolic fluxes. Different MFA approaches differ based on the metabolic state (steady vs. non-steady state) and the use of stable isotope tracers. The main methodology used to investigate metabolic systems is metabolite steady state associated with stable isotope labelling experiments. Specifically, in biological systems like photoautotrophic organisms, isotopic non-stationary 113 C metabolic flux analysis at metabolic steady state with transient isotopic labelling (13 C-INST-MFA) is required. The common requirement for metabolic steady state, alongside its very short half-timed reactions, complicates robust MFA of photosynthetic metabolism. While custom gas chambers design has addressed these challenges in various model plants, no similar tools were developed for liquid photosynthetic cultures (e.g., algae, cyanobacteria), where diffusion and equilibration of inorganic carbon species in the medium entails a new dimension of complexity. Recently, a novel tailor-made microfluidics labelling system has been introduced, supplying short13 CO2 pulses at steady state, and resolving fluxes across most photosynthetic metabolic pathways in algae. The system involves injecting algal cultures and medium containing pre-equilibrated inorganic13 C into a microfluidic mixer, followed by rapid metabolic quenching, enabling precise seconds-level label pulses. This was complemented by a13 CO2 -bubbling-based open labelling system (photobioreactor), allowing long pulses (minutes-hours) required for investigating fluxes into central C metabolism and major products. This combined labelling procedure provides a comprehensive fluxome cover for most algal photosynthetic and central C metabolism pathways, thus allowing comparative flux analyses across algae and plants., Competing Interests: Competing interestsThe authors declare no competing interests., (©Copyright : © 2023 The Authors; This is an open access article under the CC BY-NC license.)- Published
- 2023
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39. Higher Plasma Creatinine Is Associated with an Increased Risk of Death in Patients with Non-Metastatic Rectal but Not Colon Cancer: Results from an International Cohort Consortium.
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Ose J, Gigic B, Brezina S, Lin T, Peoples AR, Schobert PP, Baierl A, van Roekel E, Robinot N, Gicquiau A, Achaintre D, Scalbert A, van Duijnhoven FJB, Holowatyj AN, Gumpenberger T, Schrotz-King P, Ulrich AB, Ulvik A, Ueland PM, Weijenberg MP, Habermann N, Keski-Rahkonen P, Gsur A, Kok DE, and Ulrich CM
- Abstract
Colorectal cancer (CRC) is increasingly recognized as a heterogeneous disease. No studies have prospectively examined associations of blood metabolite concentrations with all-cause mortality in patients with colon and rectal cancer separately. Targeted metabolomics (Biocrates Absolute IDQ p180) and pathway analyses (MetaboAnalyst 4.0) were performed on pre-surgery collected plasma from 674 patients with non-metastasized (stage I-III) colon ( n = 394) or rectal cancer ( n = 283). Metabolomics data and covariate information were received from the international cohort consortium MetaboCCC. Cox proportional hazards models were computed to investigate associations of 148 metabolite levels with all-cause mortality adjusted for age, sex, tumor stage, tumor site (whenever applicable), and cohort; the false discovery rate (FDR) was used to account for multiple testing. A total of 93 patients (14%) were deceased after an average follow-up time of 4.4 years (60 patients with colon cancer and 33 patients with rectal cancer). After FDR adjustment, higher plasma creatinine was associated with a 39% increase in all-cause mortality in patients with rectal cancer. HR: 1.39, 95% CI 1.23-1.72, p
FDR = 0.03; but not colon cancer: pFDR = 0.96. Creatinine is a breakdown product of creatine phosphate in muscle and may reflect changes in skeletal muscle mass. The starch and sucrose metabolisms were associated with increased all-cause mortality in colon cancer but not in rectal cancer. Genes in the starch and sucrose metabolism pathways were previously linked to worse clinical outcomes in CRC. In summary, our findings support the hypothesis that colon and rectal cancer have different etiological and clinical outcomes that need to be considered for targeted treatments.- Published
- 2023
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40. Circulating amino acid levels and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition and UK Biobank cohorts.
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Rothwell JA, Bešević J, Dimou N, Breeur M, Murphy N, Jenab M, Wedekind R, Viallon V, Ferrari P, Achaintre D, Gicquiau A, Rinaldi S, Scalbert A, Huybrechts I, Prehn C, Adamski J, Cross AJ, Keun H, Chadeau-Hyam M, Boutron-Ruault MC, Overvad K, Dahm CC, Nøst TH, Sandanger TM, Skeie G, Zamora-Ros R, Tsilidis KK, Eichelmann F, Schulze MB, van Guelpen B, Vidman L, Sánchez MJ, Amiano P, Ardanaz E, Smith-Byrne K, Travis R, Katzke V, Kaaks R, Derksen JWG, Colorado-Yohar S, Tumino R, Bueno-de-Mesquita B, Vineis P, Palli D, Pasanisi F, Eriksen AK, Tjønneland A, Severi G, and Gunter MJ
- Subjects
- Humans, Glutamine, Histidine, Biological Specimen Banks, Prospective Studies, United Kingdom epidemiology, Amino Acids, Colorectal Neoplasms epidemiology
- Abstract
Background: Amino acid metabolism is dysregulated in colorectal cancer patients; however, it is not clear whether pre-diagnostic levels of amino acids are associated with subsequent risk of colorectal cancer. We investigated circulating levels of amino acids in relation to colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank cohorts., Methods: Concentrations of 13-21 amino acids were determined in baseline fasting plasma or serum samples in 654 incident colorectal cancer cases and 654 matched controls in EPIC. Amino acids associated with colorectal cancer risk following adjustment for the false discovery rate (FDR) were then tested for associations in the UK Biobank, for which measurements of 9 amino acids were available in 111,323 participants, of which 1221 were incident colorectal cancer cases., Results: Histidine levels were inversely associated with colorectal cancer risk in EPIC (odds ratio [OR] 0.80 per standard deviation [SD], 95% confidence interval [CI] 0.69-0.92, FDR P-value=0.03) and in UK Biobank (HR 0.93 per SD, 95% CI 0.87-0.99, P-value=0.03). Glutamine levels were borderline inversely associated with colorectal cancer risk in EPIC (OR 0.85 per SD, 95% CI 0.75-0.97, FDR P-value=0.08) and similarly in UK Biobank (HR 0.95, 95% CI 0.89-1.01, P=0.09) In both cohorts, associations changed only minimally when cases diagnosed within 2 or 5 years of follow-up were excluded., Conclusions: Higher circulating levels of histidine were associated with a lower risk of colorectal cancer in two large prospective cohorts. Further research to ascertain the role of histidine metabolism and potentially that of glutamine in colorectal cancer development is warranted., (© 2023. The Author(s).)
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- 2023
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41. Prediagnostic plasma polyphenol concentrations and colon cancer risk: The JPHC nested case-control study.
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Mori N, Murphy N, Sawada N, Achaintre D, Yamaji T, Scalbert A, Iwasaki M, Inoue M, Gunter MJ, and Tsugane S
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- Case-Control Studies, Coffee, Female, Humans, Male, Prospective Studies, Risk Factors, Colonic Neoplasms epidemiology, Polyphenols
- Abstract
Background & Aims: Epidemiological studies that assessed the associations between dietary polyphenol intakes and colon cancer risk have reported largely null results, possibly due to measurement error associated with dietary assessment. We adopted an objective approach by measuring prediagnostic plasma concentrations of 35 polyphenols and assessing associations with colon cancer risk., Methods: We conducted a nested-case control study within the Japan Public Health Center-based prospective study (JPHC Study) utilizing plasma samples collected at the time of a five-year follow-up survey between 1995 and 1999. We identified colon cancer cases who developed cancer during the follow-up from the time of blood collection. Controls were matched by age, sex, area code, population size of the area, season of blood collection, year of blood collection, and duration of fasting time before the blood collection. Prediagnostic concentrations of 35 polyphenols from 375 incident colon cancer cases (followed until 2012) and 710 matched controls were measured by tandem mass spectrometry coupled with ultra-high-pressure liquid chromatography. We used multivariable conditional logistic regression models adjusted for established colon cancer risk factors to estimate odds ratios (ORs) and 95% confidence intervals (CIs)., Results: In sexes combined log2-transformed multivariable models, circulating levels of 3,4-dihydroxyphenylpropionic acid (P = 0.02), ferulic acid (P = 0.02), and caffeic acid (P = 0.03) were inversely, and 3-hydroxybenzoic acid (P = 0.03) was positively, associated with colon cancer risk. For men only, circulating levels of 3,4-dihydroxyphenylpropionic acid was inversely, and 3,5-dihydroxyphenylpropionic acid, gallic acid, (+)-epigallocatechin, 3-hydroxybenzoic acid, and epicatechin were positively, associated with colon cancer risk. In women, plasma caffeic acid and ferulic acid concentration were inversely associated with colon cancer risk. However, all these associations were nonsignificant after adjustment for multiple comparisons. The remaining polyphenols were not associated with colon cancer risk., Conclusion: Coffee-derived 3,4-dihydroxyphenylpropionic acid, ferulic acid, and caffeic acid concentrations were inversely associated with colon cancer risk although the association were nonsignificant after adjustment for multiple comparisons. These results support a possible role of coffee polyphenols in preventing colorectal cancer., Competing Interests: Conflict of Interest statement No conflict of interest to declare., (Copyright © 2022. Published by Elsevier Ltd.)
- Published
- 2022
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42. Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort.
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Rothwell JA, Murphy N, Bešević J, Kliemann N, Jenab M, Ferrari P, Achaintre D, Gicquiau A, Vozar B, Scalbert A, Huybrechts I, Freisling H, Prehn C, Adamski J, Cross AJ, Pala VM, Boutron-Ruault MC, Dahm CC, Overvad K, Gram IT, Sandanger TM, Skeie G, Jakszyn P, Tsilidis KK, Aleksandrova K, Schulze MB, Hughes DJ, van Guelpen B, Bodén S, Sánchez MJ, Schmidt JA, Katzke V, Kühn T, Colorado-Yohar S, Tumino R, Bueno-de-Mesquita B, Vineis P, Masala G, Panico S, Eriksen AK, Tjønneland A, Aune D, Weiderpass E, Severi G, Chajès V, and Gunter MJ
- Subjects
- Cohort Studies, Diet adverse effects, Fatty Acids, Female, Humans, Male, Prospective Studies, Risk Factors, Colorectal Neoplasms epidemiology, Healthy Lifestyle
- Abstract
Background & Aims: Colorectal cancer risk can be lowered by adherence to the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) guidelines. We derived metabolic signatures of adherence to these guidelines and tested their associations with colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort., Methods: Scores reflecting adherence to the WCRF/AICR recommendations (scale, 1-5) were calculated from participant data on weight maintenance, physical activity, diet, and alcohol among a discovery set of 5738 cancer-free European Prospective Investigation into Cancer and Nutrition participants with metabolomics data. Partial least-squares regression was used to derive fatty acid and endogenous metabolite signatures of the WCRF/AICR score in this group. In an independent set of 1608 colorectal cancer cases and matched controls, odds ratios (ORs) and 95% CIs were calculated for colorectal cancer risk per unit increase in WCRF/AICR score and per the corresponding change in metabolic signatures using multivariable conditional logistic regression., Results: Higher WCRF/AICR scores were characterized by metabolic signatures of increased odd-chain fatty acids, serine, glycine, and specific phosphatidylcholines. Signatures were inversely associated more strongly with colorectal cancer risk (fatty acids: OR, 0.51 per unit increase; 95% CI, 0.29-0.90; endogenous metabolites: OR, 0.62 per unit change; 95% CI, 0.50-0.78) than the WCRF/AICR score (OR, 0.93 per unit change; 95% CI, 0.86-1.00) overall. Signature associations were stronger in male compared with female participants., Conclusions: Metabolite profiles reflecting adherence to WCRF/AICR guidelines and additional lifestyle or biological risk factors were associated with colorectal cancer. Measuring a specific panel of metabolites representative of a healthy or unhealthy lifestyle may identify strata of the population at higher risk of colorectal cancer., (Copyright © 2022. Published by Elsevier Inc.)
- Published
- 2022
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43. Urinary Concentrations of (+)-Catechin and (-)-Epicatechin as Biomarkers of Dietary Intake of Flavan-3-ols in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study.
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Almanza-Aguilera E, Ceballos-Sánchez D, Achaintre D, Rothwell JA, Laouali N, Severi G, Katzke V, Johnson T, Schulze MB, Palli D, Gargano G, de Magistris MS, Tumino R, Sacerdote C, Scalbert A, and Zamora-Ros R
- Subjects
- Adult, Aged, Biomarkers urine, Catechin analysis, Diet Surveys, Eating, Europe, Female, Humans, Male, Middle Aged, Nutrition Assessment, Prospective Studies, Statistics, Nonparametric, Biflavonoids analysis, Catechin urine, Diet statistics & numerical data, Flavonoids analysis, Proanthocyanidins analysis
- Abstract
This study examines the correlation of acute and habitual dietary intake of flavan-3-ol monomers, proanthocyanidins, theaflavins, and their main food sources with the urinary concentrations of (+)-catechin and (-)-epicatechin in the European Prospective Investigation into Cancer and Nutrition study (EPIC). Participants (N = 419, men and women) provided 24-h urine samples and completed a 24-h dietary recall (24-HDR) on the same day. Acute and habitual dietary data were collected using a standardized 24-HDR software and a validated dietary questionnaire, respectively. Intake of flavan-3-ols was estimated using the Phenol-Explorer database. Concentrations of (+)-catechin and (-)-epicatechin in 24-h urine were analyzed using tandem mass spectrometry after enzymatic deconjugation. Simple and partial Spearman's correlations showed that urinary concentrations of (+)-catechin, (-)-epicatechin and their sum were more strongly correlated with acute than with habitual intake of individual and total monomers (acute r
partial = 0.13-0.54, p < 0.05; and habitual rpartial = 0.14-0.28, p < 0.01), proanthocyanidins (acute rpartial = 0.24-0.49, p < 0.001; and habitual rpartial = 0.10-0.15, p < 0.05), theaflavins (acute rpartial = 0.22-0.31, p < 0.001; and habitual rpartial = 0.20-0.26, p < 0.01), and total flavan-3-ols (acute rpartial = 0.40-0.48, p < 0.001; and habitual rpartial = 0.23-0.33, p < 0.001). Similarly, urinary concentrations of flavan-3-ols were weakly correlated with both acute ( rpartial = 0.12-0.30, p < 0.05) and habitual intake ( rpartial = 0.10-0.27, p < 0.05) of apple and pear, stone fruits, berries, chocolate and chocolate products, cakes and pastries, tea, herbal tea, wine, red wine, and beer and cider. Moreover, all comparable correlations were stronger for urinary (-)-epicatechin than for (+)-catechin. In conclusion, our data support the use of urinary concentrations of (+)-catechin and (-)-epicatechin, especially as short-term nutritional biomarkers of dietary catechin, epicatechin and total flavan-3-ol monomers.- Published
- 2021
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44. Circulating tryptophan metabolites and risk of colon cancer: Results from case-control and prospective cohort studies.
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Papadimitriou N, Gunter MJ, Murphy N, Gicquiau A, Achaintre D, Brezina S, Gumpenberger T, Baierl A, Ose J, Geijsen AJMR, van Roekel EH, Gsur A, Gigic B, Habermann N, Ulrich CM, Kampman E, Weijenberg MP, Ueland PM, Kaaks R, Katzke V, Krogh V, Bueno-de-Mesquita B, Ardanaz E, Travis RC, Schulze MB, Sánchez MJ, Colorado-Yohar SM, Weiderpass E, Scalbert A, and Keski-Rahkonen P
- Subjects
- Adult, Aged, Aged, 80 and over, Case-Control Studies, Colonic Neoplasms diagnosis, Colonic Neoplasms metabolism, Female, Humans, Logistic Models, Male, Middle Aged, Prospective Studies, Risk Factors, Tryptophan metabolism, Colonic Neoplasms blood, Kynurenine blood, Serotonin blood, Tryptophan blood
- Abstract
Dysregulation of tryptophan metabolism has been linked to colorectal tumorigenesis; however, epidemiological studies investigating tryptophan metabolites in relation to colorectal cancer risk are limited. We studied associations of plasma tryptophan, serotonin and kynurenine with colon cancer risk in two studies with cancer patients and controls, and in one prospective cohort: ColoCare Study (110 patients/153 controls), the Colorectal Cancer Study of Austria (CORSA; 46 patients/390 controls) and the European Prospective Investigation into Cancer and Nutrition (EPIC; 456 matched case-control pairs). Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for colon cancer risk. Tryptophan was inversely associated with colon cancer risk in ColoCare (OR per 1-SD = 0.44; 95% CI, 0.31-0.64) and EPIC (OR per 1-SD = 0.86; 95% CI, 0.74-0.99). Comparing detectable vs nondetectable levels, serotonin was positively associated with colon cancer in CORSA (OR = 6.39; 95% CI, 3.61-11.3) and EPIC (OR = 2.03; 95% CI, 1.20-3.40). Kynurenine was inversely associated with colon cancer in ColoCare (OR per 1-SD = 0.74; 95% CI, 0.55-0.98), positively associated in CORSA (OR per 1-SD = 1.79; 95% CI, 1.27-2.52), while no association was observed in EPIC. The kynurenine-to-tryptophan ratio was positively associated with colon cancer in ColoCare (OR per 1-SD = 1.38; 95% CI, 1.03-1.84) and CORSA (OR per 1-SD = 1.44; 95% CI, 1.06-1.96), but not in EPIC. These results suggest that higher plasma tryptophan may be associated with lower colon cancer risk, while increased serotonin may be associated with a higher risk of colon cancer. The kynurenine-to-tryptophan ratio may also reflect altered tryptophan catabolism during colon cancer development., (© 2021 UICC.)
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- 2021
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45. Diet quality indices and dietary patterns are associated with plasma metabolites in colorectal cancer patients.
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Geijsen AJMR, Kok DE, van Zutphen M, Keski-Rahkonen P, Achaintre D, Gicquiau A, Gsur A, Kruyt FM, Ulrich CM, Weijenberg MP, de Wilt JHW, Wesselink E, Scalbert A, Kampman E, and van Duijnhoven FJB
- Subjects
- Aged, Body Mass Index, Diet, Healthy, Humans, Male, Colorectal Neoplasms, Diet
- Abstract
Purpose: Emerging evidence suggests that diet is linked to survival in colorectal cancer patients, although underlying mechanisms are not fully understood. The aim of this study was to evaluate whether dietary exposures are associated with metabolite concentrations in colorectal cancer patients., Methods: Concentrations of 134 metabolites of the Biocrates Absolute
IDQ p180 kit were quantified in plasma samples collected at diagnosis from 195 stage I-IV colorectal cancer patients. Food frequency questionnaires were used to calculate adherence to the World Cancer Research Fund (WCRF) dietary recommendations and the Dutch Healthy Diet (DHD15) index as well as to construct dietary patterns using Principal Component Analysis. Multivariable linear regression models were used to determine associations between dietary exposures and metabolite concentrations. All models were adjusted for age, sex, body mass index, smoking status, analytical batch, cancer stage, and multiple testing using false discovery rate., Results: Participants had a mean (SD) age of 66 (9) years, were mostly men (60%), and mostly diagnosed with stage II and III cancer. For the dietary pattern analyses, Western, Carnivore, and Prudent patterns were identified. Better adherence to the WCRF dietary recommendations was associated with lower concentrations of ten phosphatidylcholines. Higher intake of the Carnivore pattern was associated with higher concentrations of two phosphatidylcholines. The DHD15-index, Western pattern, or Prudent pattern were not associated with metabolite concentrations., Conclusion: In the current study, the WCRF dietary score and the Carnivore pattern are associated with phosphatidylcholines. Future research should elucidate the potential relevance of phosphatidylcholine metabolism in the colorectal cancer continuum., Clinical Trial Registry: ClinicalTrials.gov Identifier: NCT03191110., (© 2021. The Author(s).)- Published
- 2021
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46. Metabolic signatures of greater body size and their associations with risk of colorectal and endometrial cancers in the European Prospective Investigation into Cancer and Nutrition.
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Kliemann N, Viallon V, Murphy N, Beeken RJ, Rothwell JA, Rinaldi S, Assi N, van Roekel EH, Schmidt JA, Borch KB, Agnoli C, Rosendahl AH, Sartor H, Huerta JM, Tjønneland A, Halkjær J, Bueno-de-Mesquita B, Gicquiau A, Achaintre D, Aleksandrova K, Schulze MB, Heath AK, Tsilidis KK, Masala G, Panico S, Kaaks R, Fortner RT, Van Guelpen B, Dossus L, Scalbert A, Keun HC, Travis RC, Jenab M, Johansson M, Ferrari P, and Gunter MJ
- Subjects
- Body Mass Index, Body Size, Female, Humans, Logistic Models, Prospective Studies, Risk Factors, Waist Circumference, Colorectal Neoplasms epidemiology, Endometrial Neoplasms epidemiology
- Abstract
Background: The mechanisms underlying the obesity-cancer relationship are incompletely understood. This study aimed to characterise metabolic signatures of greater body size and to investigate their association with two obesity-related malignancies, endometrial and colorectal cancers, and with weight loss within the context of an intervention study., Methods: Targeted mass spectrometry metabolomics data from 4326 participants enrolled in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort and 17 individuals from a single-arm pilot weight loss intervention (Intercept) were used in this analysis. Metabolic signatures of body size were first determined in discovery (N = 3029) and replication (N = 1297) sets among EPIC participants by testing the associations between 129 metabolites and body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) using linear regression models followed by partial least squares analyses. Conditional logistic regression models assessed the associations between the metabolic signatures with endometrial (N = 635 cases and 648 controls) and colorectal (N = 423 cases and 423 controls) cancer risk using nested case-control studies in EPIC. Pearson correlation between changes in the metabolic signatures and weight loss was tested among Intercept participants., Results: After adjustment for multiple comparisons, greater BMI, WC, and WHR were associated with higher levels of valine, isoleucine, glutamate, PC aa C38:3, and PC aa C38:4 and with lower levels of asparagine, glutamine, glycine, serine, lysoPC C17:0, lysoPC C18:1, lysoPC C18:2, PC aa C42:0, PC ae C34:3, PC ae C40:5, and PC ae C42:5. The metabolic signature of BMI (OR
1-sd 1.50, 95% CI 1.30-1.74), WC (OR1-sd 1.46, 95% CI 1.27-1.69), and WHR (OR1-sd 1.54, 95% CI 1.33-1.79) were each associated with endometrial cancer risk. Risk of colorectal cancer was positively associated with the metabolic signature of WHR (OR1-sd : 1.26, 95% CI 1.07-1.49). In the Intercept study, a positive correlation was observed between weight loss and changes in the metabolic signatures of BMI (r = 0.5, 95% CI 0.06-0.94, p = 0.03), WC (r = 0.5, 95% CI 0.05-0.94, p = 0.03), and WHR (r = 0.6, 95% CI 0.32-0.87, p = 0.01)., Conclusions: Obesity is associated with a distinct metabolic signature comprising changes in levels of specific amino acids and lipids which is positively associated with both colorectal and endometrial cancer and is potentially reversible following weight loss.- Published
- 2021
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47. Targeted Plasma Metabolic Profiles and Risk of Recurrence in Stage II and III Colorectal Cancer Patients: Results from an International Cohort Consortium.
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Ose J, Gigic B, Brezina S, Lin T, Baierl A, Geijsen AJMR, van Roekel E, Robinot N, Gicquiau A, Achaintre D, Keski-Rahkonen P, Duijnhoven FJBV, Gumpenberger T, Holowatyj AN, Kok DE, Koole A, Schrotz-King P, Ulrich AB, Schneider M, Ulvik A, Ueland PM, Weijenberg MP, Habermann N, Scalbert A, Gsur A, and M Ulrich C
- Abstract
The identification of patients at high-risk for colorectal cancer (CRC) recurrence remains an unmet clinical need. The aim of this study was to investigate associations of metabolites with risk of recurrence in stage II/III CRC patients. A targeted metabolomics assay (128 metabolites measured) was performed on pre-surgery collected EDTA plasma samples from n = 440 newly diagnosed stage II/III CRC patients. Patients have been recruited from four prospective cohort studies as part of an international consortium: Metabolomic profiles throughout the continuum of CRC (MetaboCCC). Cox proportional hazard models were computed to investigate associations of metabolites with recurrence, adjusted for age, sex, tumor stage, tumor site, body mass index, and cohort; false discovery rate (FDR) was used to account for multiple testing. Sixty-nine patients (15%) had a recurrence after a median follow-up time of 20 months. We identified 13 metabolites that were nominally associated with a reduced risk of recurrence. None of the associations were statistically significant after controlling for multiple testing. Pathway topology analyses did not reveal statistically significant associations between recurrence and alterations in metabolic pathways (e.g., sphingolipid metabolism p = 0.04; p
FDR = 1.00). To conclude, we did not observe statistically significant associations between metabolites and CRC recurrence using a well-established metabolomics assay. The observed results require follow-up in larger studies.- Published
- 2021
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48. Blood polyphenol concentrations and differentiated thyroid carcinoma in women from the European Prospective Investigation into Cancer and Nutrition (EPIC) study.
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Zamora-Ros R, Lujan-Barroso L, Achaintre D, Franceschi S, Kyrø C, Overvad K, Tjønneland A, Truong T, Lecuyer L, Boutron-Ruault MC, Katzke V, Johnson TS, Schulze MB, Trichopoulou A, Peppa E, La Vechia C, Masala G, Pala V, Panico S, Tumino R, Ricceri F, Skeie G, Quirós JR, Rodriguez-Barranco M, Amiano P, Chirlaque MD, Ardanaz E, Almquist M, Hennings J, Vermeulen R, Wareham NJ, Tong TYN, Aune D, Byrnes G, Weiderpass E, Scalbert A, Rinaldi S, and Agudo A
- Abstract
Background: Polyphenols are natural compounds with anticarcinogenic properties in cellular and animal models, but epidemiological evidence determining the associations of these compounds with thyroid cancer (TC) is lacking., Objectives: The aim of this study was to evaluate the relations between blood concentrations of 36 polyphenols and TC risk in EPIC (the European Prospective Investigation into Cancer and Nutrition)., Methods: A nested case-control study was conducted on 273 female cases (210 papillary, 45 follicular, and 18 not otherwise specified TC tumors) and 512 strictly matched controls. Blood polyphenol concentrations were analyzed by HPLC coupled to tandem MS after enzymatic hydrolysis., Results: Using multivariable-adjusted conditional logistic regression models, caffeic acid (ORlog2: 0.55; 95% CI: 0.33, 0.93) and its dehydrogenated metabolite, 3,4-dihydroxyphenylpropionic acid (ORlog2: 0.84; 95% CI: 0.71, 0.99), were inversely associated with differentiated TC risk. Similar results were observed for papillary TC, but not for follicular TC. Ferulic acid was also inversely associated only with papillary TC (ORlog2: 0.68; 95% CI: 0.51, 0.91). However, none of these relations was significant after Bonferroni correction for multiple testing. No association was observed for any of the remaining polyphenols with total differentiated, papillary, or follicular TC., Conclusions: Blood polyphenol concentrations were mostly not associated with differentiated TC risk in women, although our study raises the possibility that high blood concentrations of caffeic, 3,4-dihydroxyphenylpropionic, and ferulic acids may be related to a lower papillary TC risk., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Society for Nutrition.)
- Published
- 2021
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49. Multi-omics Analysis Reveals Adipose-tumor Crosstalk in Patients with Colorectal Cancer.
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Holowatyj AN, Haffa M, Lin T, Scherer D, Gigic B, Ose J, Warby CA, Himbert C, Abbenhardt-Martin C, Achaintre D, Boehm J, Boucher KM, Gicquiau A, Gsur A, Habermann N, Herpel E, Kauczor HU, Keski-Rahkonen P, Kloor M, von Knebel-Doeberitz M, Kok DE, Nattenmüller J, Schirmacher P, Schneider M, Schrotz-King P, Simon T, Ueland PM, Viskochil R, Weijenberg MP, Scalbert A, Ulrich A, Bowers LW, Hursting SD, and Ulrich CM
- Subjects
- Carcinogenesis, Humans, Intra-Abdominal Fat, Obesity, Tumor Microenvironment, Adipose Tissue, Colorectal Neoplasms
- Abstract
Obesity and obesity-driven cancer rates are continuing to rise worldwide. We hypothesize that adipocyte-colonocyte interactions are a key driver of obesity-associated cancers. To understand the clinical relevance of visceral adipose tissue in advancing tumor growth, we analyzed paired tumor-adjacent visceral adipose, normal mucosa, and colorectal tumor tissues as well as presurgery blood samples from patients with sporadic colorectal cancer. We report that high peroxisome proliferator-activated receptor gamma ( PPARG ) visceral adipose tissue expression is associated with glycoprotein VI (GPVI) signaling-the major signaling receptor for collagen-as well as fibrosis and adipogenesis pathway signaling in colorectal tumors. These associations were supported by correlations between PPARG visceral adipose tissue expression and circulating levels of plasma 4-hydroxyproline and serum intercellular adhesion molecule 1 (ICAM1), as well as gene set enrichment analysis and joint gene-metabolite pathway results integration that yielded significant enrichment of genes defining epithelial-to-mesenchymal transition-as in fibrosis and metastasis-and genes involved in glycolytic metabolism, confirmed this association. We also reveal that elevated prostaglandin-endoperoxide synthase 2 ( PTGS2 ) colorectal tumor expression is associated with a fibrotic signature in adipose-tumor crosstalk via GPVI signaling and dendritic cell maturation in visceral adipose tissue. Systemic metabolite and biomarker profiling confirmed that high PTGS2 expression in colorectal tumors is significantly associated with higher concentrations of serum amyloid A and glycine, and lower concentrations of sphingomyelin, in patients with colorectal cancer. This multi-omics study suggests that adipose-tumor crosstalk in patients with colorectal cancer is a critical microenvironment interaction that could be therapeutically targeted. See related spotlight by Colacino et al., p. 803 ., (©2020 American Association for Cancer Research.)
- Published
- 2020
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50. Metabolomics profiling of visceral and abdominal subcutaneous adipose tissue in colorectal cancer patients: results from the ColoCare study.
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Ose J, Holowatyj AN, Nattenmüller J, Gigic B, Lin T, Himbert C, Habermann N, Achaintre D, Scalbert A, Keski-Rahkonen P, Böhm J, Schrotz-King P, Schneider M, Ulrich A, Kampman E, Weijenberg M, Gsur A, Ueland PM, Kauczor HU, and Ulrich CM
- Subjects
- Adiposity, Adolescent, Adult, Aged, Aged, 80 and over, Body Mass Index, Colorectal Neoplasms diagnostic imaging, Colorectal Neoplasms pathology, Female, Humans, Intra-Abdominal Fat diagnostic imaging, Male, Metabolomics, Middle Aged, Neoplasm Staging, Subcutaneous Fat, Abdominal diagnostic imaging, Tomography, X-Ray Computed, Young Adult, Colorectal Neoplasms metabolism, Intra-Abdominal Fat metabolism, Subcutaneous Fat, Abdominal metabolism
- Abstract
Purpose: Underlying mechanisms of the relationship between body fatness and colorectal cancer remain unclear. This study investigated associations of circulating metabolites with visceral (VFA), abdominal subcutaneous (SFA), and total fat area (TFA) in colorectal cancer patients., Methods: Pre-surgery plasma samples from 212 patients (stage I-IV) from the ColoCare Study were used to perform targeted metabolomics. VFA, SFA, and TFA were quantified by computed tomography scans. Partial correlation and linear regression analyses of VFA, SFA, and TFA with metabolites were computed and corrected for multiple testing. Cox proportional hazards were used to assess 2-year survival., Results: In patients with metastatic tumors, SFA and TFA were statistically significantly inversely associated with 16 glycerophospholipids (SFA: p
FDR range 0.017-0.049; TFA: pFDR range 0.029-0.048), while VFA was not. Doubling of ten of the aforementioned glycerophospholipids was associated with increased risk of death in patients with metastatic tumors, but not in patients with non-metastatic tumors (phet range: 0.00044-0.049). Doubling of PC ae C34:0 was associated with ninefold increased risk of death in metastatic tumors (Hazard Ratio [HR], 9.05; 95% confidence interval [CI] 2.17-37.80); an inverse association was observed in non-metastatic tumors (HR 0.17; 95% CI 0.04-0.87; phet = 0.00044)., Conclusion: These data provide initial evidence that glycerophospholipids in metastatic colorectal cancer are uniquely associated with subcutaneous adiposity, and may impact overall survival.- Published
- 2020
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