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4. Food and Nutrition Systems Dashboards: A Systematic Review

Author

Zhou, Bingjie, primary, Liang, Shiwei, additional, Monahan, Kyle M, additional, Singh, Gitanjali M, additional, Simpson, Ryan B, additional, Reedy, Julia, additional, Zhang, Jianyi, additional, DeVane, Annie, additional, Cruz, Melissa S, additional, Marshak, Anastasia, additional, Mozaffarian, Dariush, additional, Wang, Dantong, additional, Semenova, Iaroslava, additional, Montoliu, Ivan, additional, Prozorovscaia, Daniela, additional, and Naumova, Elena N, additional

Published
2022
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7. Chemometric strategy for modeling metabolic biological space along the gastrointestinal tract and assessing microbial influences

Author

Martin, Francois-Pierre J., Montoliu, Ivan, Kochhar, Sunil, and Rezzi, Serge

Subjects
Chemistry, Analytic -- Methods, Metabolomics -- Research, Gastrointestinal system -- Physiological aspects, Gastrointestinal system -- Health aspects, Microbiological chemistry -- Research, Chemistry
Abstract

Over the past decade, the analysis of metabolic data with advanced chemometric techniques has offered the potential to explore functional relationships among biological compartments in relation to the structure and function of the intestine. However, the employed methodologies, generally based on regression modeling techniques, have given emphasis to region-specific metabolic patterns, while providing only limited insights into the spatiotemporal metabolic features of the complex gastrointestinal system. Hence, novel approaches are needed to analyze metabolic data to reconstruct the metabolic biological space associated with the evolving structures and func6ons of an organ such as the gastrointestinal tract. Here, we report the application of multivariate curve resolution (MCR) methodology to model metabolic relationships along the gastrointestinal compartments in relation to its structure and function using data from our previous metabonomic analysis. The method simultaneously summarizes metabolite occurrence and contribution to continuous metabolic signatures of the different biological compartments of the gut tract. This methodology sheds new light onto the complex web of metabolic interac6ons with gut symbionts that modulate host cell metabolism in surrounding gut tissues. In the future, such an approach will be key to provide new insights into the dynamic onset of metabolic deregulations involved in region-specific gastrointestinal disorders, such as Crohn's disease or ulcerative colitis. 10.1021/ac102015n

Published
2010

8. Alignment using variable penalty dynamic time warping

Author

Clifford, David, Stone, Glenn, Montoliu, Ivan, Rezzi, Serge, Martin, Francois-Pierre, Guy, Philippe, Bruce, Stephen, and Kochhar, Sunil

Subjects
Time -- Research, Gas chromatography -- Methods, Signal processing -- Methods, Digital signal processor, Chemistry
Abstract

In this article we highlight a novel variation on dynamic time warping (DTW) for aligning chromatogram signals. We are interested in sets of signals that can be aligned well locally, but not globally, by shifting individual signals in time. This kind of alignment is often sufficient for aligning gas chromatography data. Regular DTW often 'over-warps' signals and introduces artificial features into the aligned data. To overcome this we introduce a variable penalty into the DTW process. The penalty is added to the distance metric whenever a nondiagonal step is taken. We select our penalty based on a morphological dilation of the two signals. We showcase our method by aligning GC/MS datafiles from 712 blood plasma samples processed in 23 batches over the course of 6 months. The use of variable penalty DTW significantly reduces the number of nondiagonal moves. In the examples presented here, this reduction is by a factor of 30, with no cost to visual quality of the alignment.

Published
2009

9. Identification of Pre-frailty Sub-Phenotypes in Elderly Using Metabolomics

Author

Pujos-Guillot, Estelle, Pétéra, Mélanie, Jacquemin, Jérémie, Centeno, Delphine, Lyan, Bernard, Montoliu, Ivan, Madej, Dawid, Pietruszka, Barbara, Fabbri, Cristina, Santoro, Aurelia, Brzozowska, Anna, Franceschi, Claudio, Comte, Blandine, Unité de Nutrition Humaine - Clermont Auvergne (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Plateforme d'Exploration du Métabolisme, Institut National de la Recherche Agronomique (INRA), Nestlé Institute of Health Sciences SA [Lausanne, Switzerland], Human Nutrition, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie, Warsaw University of Life Sciences (SGGW), Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Centro Interdipartimentale « L. Galvani» (CIG), Institute of Neurological Sciences of Bologna IRCCS, European Union's Seventh Framework Program 266486, MetaboHUB French infrastructure ANR-INBS-0010, Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), European Project: 266486,EC:FP7:KBBE,FP7-KBBE-2010-4,NU-AGE(2011), Plateforme Exploration du Métabolisme (PFEM), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-MetaboHUB-Clermont, MetaboHUB-MetaboHUB, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Pujos-Guillot, Estelle, Pétéra, Mélanie, Jacquemin, Jérémie, Centeno, Delphine, Lyan, Bernard, Montoliu, Ivan, Madej, Dawid, Pietruszka, Barbara, Fabbri, Cristina, Santoro, Aurelia, Brzozowska, Anna, Franceschi, Claudio, and Comte, Blandine

Subjects
untargeted metabolomics, pre-frailty, sub-phenotypes, Physiology, gender differences, [CHIM.ANAL]Chemical Sciences/Analytical chemistry, gender difference, [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], biomarker, biomarkers, sub-phenotype, elderly, Original Research
Abstract

Aging is a dynamic process depending on intrinsic and extrinsic factors and its evolution is a continuum of transitions, involving multifaceted processes at multiple levels. It is recognized that frailty and sarcopenia are shared by the major age-related diseases thus contributing to elderly morbidity and mortality. Pre-frailty is still not well understood but it has been associated with global imbalance in several physiological systems, including inflammation, and in nutrition. Due to the complex phenotypes and underlying pathophysiology, the need for robust and multidimensional biomarkers is essential to move toward more personalized care. The objective of the present study was to better characterize the complexity of pre-frailty phenotype using untargeted metabolomics, in order to identify specific biomarkers, and study their stability over time. The approach was based on the NU-AGE project (clinicaltrials.gov , NCT01754012) that regrouped 1,250 free-living elderly people (65-79 y.o., men and women), free of major diseases, recruited within five European centers. Half of the volunteers were randomly assigned to an intervention group (1-year Mediterranean type diet). Presence of frailty was assessed by the criteria proposed by Fried et al. (2001). In this study, a sub-cohort consisting in 212 subjects (pre-frail and non-frail) from the Italian and Polish centers were selected for untargeted serum metabolomics at T0 (baseline) and T1 (follow-up). Univariate statistical analyses were performed to identify discriminant metabolites regarding pre-frailty status. Predictive models were then built using linear logistic regression and ROC curve analyses were used to evaluate multivariate models. Metabolomics enabled to discriminate sub-phenotypes of pre-frailty both at the gender level and depending on the pre-frailty progression and reversibility. The best resulting models included four different metabolites for each gender. They showed very good prediction capacity with AUCs of 0.93 (95% CI = 0.87-1) and 0.94 (95% CI = 0.87-1) for men and women, respectively. Additionally, early and/or predictive markers of pre-frailty were identified for both genders and the gender specific models showed also good performance (three metabolites; AUC = 0.82; 95% CI = 0.72-0.93) for men and very good for women (three metabolites; AUC = 0.92; 95% CI = 0.86-0.99). These results open the door, through multivariate strategies, to a possibility of monitoring the disease progression over time at a very early stage.

Published
2019

10. Open-Access Data Platform: Global Nutrition and Health Atlas (GNHA).

Author

Zhou, Bingjie, Liang, Shiwei, Monahan, Kyle M, El-Abbadi, Naglaa, Cruz, Melissa S, Chen, Yutong, DeVane, Annie, Reedy, Julia, Zhang, Jianyi, Semenova, Iaroslava, Montoliu, Ivan, Mozaffarian, Dariush, Wang, Dantong, and Naumova, Elena N

Subjects
DATA libraries, DIGITAL transformation, WORLD health, NUTRITION, DOWNLOADING, BIG data, METADATA
Abstract

The rapid development of nutrition science is embracing digital transformation to generate large amounts of data. Precision nutrition and "Big Data" place increasing demand for data repositories and visualization, which enhances the digital transformation. We defined the need for an integrated nutrition data platform as a web-based platform that can collect, store, track, analyze, monitor, and visually display key metrics in nutrition and health while allowing users to interact with visuals and download data provided in the platform. Interactive dashboards create new opportunities for scholars and practitioners to generate and test hypotheses. We present the development and implementation of the Global Nutrition and Health Atlas (GNHA; https://sites.tufts.edu/gnha/), an open-access online platform covering nutrition and health data with 26 themes and 500+ indicators from 190+ countries up to 30 y. We view GNHA as an interactive tool aiming to share information and perspectives and foster collaborations and innovations. [ABSTRACT FROM AUTHOR]

Published
2022
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11. A Whole-Grain-Rich Diet Reduces Urinary Excretion of Markers of Protein Catabolism and Gut Microbiota Metabolism in Healthy Men after One Week1,2

Author

Ross, Alastair B., Pere-Trépat, Emma, Montoliu, Ivan, Martin, Francois-Pierre J., Collino, Sebastiano, Moco, Sofia, Godin, Jean-Philippe, Cléroux, Marilyn, Guy, Philippe A., Breton, Isabelle, Bibiloni, Rodrigo, Thorimbert, Anita, Tavazzi, Isabelle, Tornier, Lionel, Bebuis, Aude, Bruce, Stephen J., Beaumont, Maurice, Fay, Laurent-Bernard, and Kochhar, Sunil

Published
2013
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13. Biomarker-based validity of a food frequency questionnaire estimating intake in Brazilian children and adolescents

Author

Hillesheim, Elaine, primary, Toffano, Roseli Borges Donegá, additional, Barros, Tamiris Trevisan de, additional, Salomão, Roberta Garcia, additional, Mathias, Mariana Giaretta, additional, Coelho-Landell, Carolina de Almeida, additional, Almada, Maria Olímpia Ribeiro do Vale, additional, Camarneiro, Joyce Moraes, additional, Camelo-Junior, José Simon, additional, Ued, Fábio da Veiga, additional, Campos-Gimenez, Esther, additional, Redeuil, Karine, additional, Giner, Maria Pilar, additional, Martin, Francois-Pierre, additional, Montoliu, Ivan, additional, Moco, Sofia, additional, Kaput, Jim, additional, and Monteiro, Jacqueline Pontes, additional

Published
2020
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15. Metabolomics enabled the identification of pre-frailty sub-phenotypes in elderly

Author

Pujos-Guillot , Estelle, Pétéra , Mélanie, Jacquemin , Jérémie, Centeno , Delphine, Lyan , Bernard, Montoliu , Ivan, Madej , Dawid, Pietruszka , Barbara, Fabbri , Christina, Santoro , Aurelia, Brzozowska , Anna, Comte , Blandine, Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), MetaboHUB, Nestlé, Department of Human Nutrition, Faculty of Life Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Nestlé S.A., University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Unité de Nutrition Humaine - Clermont Auvergne ( UNH ), Université Clermont Auvergne ( UCA ) -Institut national de la recherche agronomique [Auvergne/Rhône-Alpes] ( INRA Auvergne/Rhône-Alpes ), Nestlé Institute of Health Sciences, WULS-SGGW, Department of Experimental, Diagnostic and Specialty Medicine ( DIMES ), University of Bologna, and Interdepartmental Centre 'L. Galvani' ( GIG )

Subjects
[CHIM.ANAL]Chemical Sciences/Analytical chemistry, [ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition, [ CHIM.ANAL ] Chemical Sciences/Analytical chemistry, [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Abstract

International audience; Context: Ageing is a dynamic process depending on intrinsic and extrinsic factors and its evolution is a continuum of transitions, involving multifaceted processes at multiple levels. It is recognized that frailty and sarcopenia are shared by the major age-related diseases thus contributing to elderly morbidity and mortality. They are major health issues in aging populations, given their high prevalence and association with several adverse outcomes. Pre-frailty is still not well understood but it has been associated with changes in several physiological systems, including inflammation as well as changes in the balance of micronutrients and vitamins. Due to the complex phenotypes and underlying pathophysiology, the need for robust and multidimensional biomarkers is now essential to move towards more personalized care and prevention. Objective: The objective of the present study was to better characterize the complexity of pre-frailty phenotype using untargeted metabolomics in order to identify specific biomarkers, and study their stability over time. Research design and methods: The approach was based on the NU-AGE project (FP7 EU programme; clinicaltrials.gov, NCT01754012) that regrouped 1,250 free-living elderly people (65-79 y.o., men and women), free of major diseases, recruited within five European centres. Half of the volunteers were randomly assigned to an intervention group (1-year Mediterranean type diet). Presence of frailty was assessed by the criteria proposed by Fried et al (Fried et al. J Gerontol A Biol Sci Med Sci, 2001). In this study, a sub-cohort consisting in 212 subjects (pre-frail and non-frail) from the Italian and Polish centres were selected for mass spectrometry-based untargeted metabolomics. Metabolic profiles were determined from serum samples at T0 (baseline) and T1 (follow-up). All data were processed under the Galaxy web-based platform Worflow4metabolomics, guaranteeing their reproducibility (Giacomoni et al. Bioinformatics, 2015). Univariate statistical analyses were performed to identify discriminant metabolites regarding pre-frailty status. Predictive models were then built using linear logistic regression and ROC curve analyses were used to evaluate multivariate biomarkers. Results: Presence of sub-phenotypes of pre-frailty both at the gender level and depending on the pre-frailty progression and reversibility were revealed by untargeted metabolomics. Additionally, early markers, able to predict the evolution towards pre-frailty within one year, were identified for both genders. Moreover, some of these early biomarkers were found to be still relevant for classification of a ‘light pre-frail’ phenotype after its clinical appearance. Conclusion: These results open the door, through multivariate strategies, to the possibility of monitoring the disease progression over time at a very early stage. Longitudinal analysis of individual time trajectories to detect early deviations of health status would indeed contribute to a better disease prevention.

Published
2018

16. Metabolomics enabled the identification of pre-frailty sub-phenotypes in elderly

Author

Pujos-Guillot, Estelle, Pétéra, Mélanie, Jacquemin, Jérémie, Centeno, Delphine, Lyan, Bernard, Montoliu, Ivan, Madej, Dawid, Pietruszka, Barbara, Fabbri, Christina, Santoro, Aurelia, Brzozowska, Anna, and Comte, Blandine

Subjects
Santé publique et épidémiologie, Chimie analytique, Alimentation et Nutrition, Food and Nutrition, Analytical chemistry
Abstract

Context: Ageing is a dynamic process depending on intrinsic and extrinsic factors and its evolution is a continuum of transitions, involving multifaceted processes at multiple levels. It is recognized that frailty and sarcopenia are shared by the major age-related diseases thus contributing to elderly morbidity and mortality. They are major health issues in aging populations, given their high prevalence and association with several adverse outcomes. Pre-frailty is still not well understood but it has been associated with changes in several physiological systems, including inflammation as well as changes in the balance of micronutrients and vitamins. Due to the complex phenotypes and underlying pathophysiology, the need for robust and multidimensional biomarkers is now essential to move towards more personalized care and prevention. Objective: The objective of the present study was to better characterize the complexity of pre-frailty phenotype using untargeted metabolomics in order to identify specific biomarkers, and study their stability over time. Research design and methods: The approach was based on the NU-AGE project (FP7 EU programme; clinicaltrials.gov, NCT01754012) that regrouped 1,250 free-living elderly people (65-79 y.o., men and women), free of major diseases, recruited within five European centres. Half of the volunteers were randomly assigned to an intervention group (1-year Mediterranean type diet). Presence of frailty was assessed by the criteria proposed by Fried et al (Fried et al. J Gerontol A Biol Sci Med Sci, 2001). In this study, a sub-cohort consisting in 212 subjects (pre-frail and non-frail) from the Italian and Polish centres were selected for mass spectrometry-based untargeted metabolomics. Metabolic profiles were determined from serum samples at T0 (baseline) and T1 (follow-up). All data were processed under the Galaxy web-based platform Worflow4metabolomics, guaranteeing their reproducibility (Giacomoni et al. Bioinformatics, 2015). Univariate statistical analyses were performed to identify discriminant metabolites regarding pre-frailty status. Predictive models were then built using linear logistic regression and ROC curve analyses were used to evaluate multivariate biomarkers. Results: Presence of sub-phenotypes of pre-frailty both at the gender level and depending on the pre-frailty progression and reversibility were revealed by untargeted metabolomics. Additionally, early markers, able to predict the evolution towards pre-frailty within one year, were identified for both genders. Moreover, some of these early biomarkers were found to be still relevant for classification of a ‘light pre-frail’ phenotype after its clinical appearance. Conclusion: These results open the door, through multivariate strategies, to the possibility of monitoring the disease progression over time at a very early stage. Longitudinal analysis of individual time trajectories to detect early deviations of health status would indeed contribute to a better disease prevention.

Published
2018

19. Differential effect of maternal diet supplementation with α-Linolenic adcid or n-3 long-chain polyunsaturated fatty acids on glial cell phosphatidylethanolamine and phosphatidylserine fatty acid profile in neonate rat brains

Author

Cruz-Hernandez Cristina, Pasquis Bruno, Bezelgues Jean-Baptiste, Joffre Florent, Acar Niyazi, Joffre Corinne, Destaillats Frédéric, Rezzi Serge, Montoliu Ivan, Dionisi Fabiola, and Bretillon Lionel

Subjects
Nutrition. Foods and food supply, TX341-641, Nutritional diseases. Deficiency diseases, RC620-627
Abstract

Abstract Background Dietary long-chain polyunsaturated fatty acids (LC-PUFA) are of crucial importance for the development of neural tissues. The aim of this study was to evaluate the impact of a dietary supplementation in n-3 fatty acids in female rats during gestation and lactation on fatty acid pattern in brain glial cells phosphatidylethanolamine (PE) and phosphatidylserine (PS) in the neonates. Methods Sprague-Dawley rats were fed during the whole gestation and lactation period with a diet containing either docosahexaenoic acid (DHA, 0.55%) and eicosapentaenoic acid (EPA, 0.75% of total fatty acids) or α-linolenic acid (ALA, 2.90%). At two weeks of age, gastric content and brain glial cell PE and PS of rat neonates were analyzed for their fatty acid and dimethylacetal (DMA) profile. Data were analyzed by bivariate and multivariate statistics. Results In the neonates from the group fed with n-3 LC-PUFA, the DHA level in gastric content (+65%, P < 0.0001) and brain glial cell PE (+18%, P = 0.0001) and PS (+15%, P = 0.0009) were significantly increased compared to the ALA group. The filtered correlation analysis (P < 0.05) underlined that levels of dihomo-γ-linolenic acid (DGLA), DHA and n-3 docosapentaenoic acid (DPA) were negatively correlated with arachidonic acid (ARA) and n-6 DPA in PE of brain glial cells. No significant correlation between n-3 and n-6 LC-PUFA were found in the PS dataset. DMA level in PE was negatively correlated with n-6 DPA. DMA were found to occur in brain glial cell PS fraction; in this class DMA level was correlated negatively with DHA and positively with ARA. Conclusion The present study confirms that early supplementation of maternal diet with n-3 fatty acids supplied as LC-PUFA is more efficient in increasing n-3 in brain glial cell PE and PS in the neonate than ALA. Negative correlation between n-6 DPA, a conventional marker of DHA deficiency, and DMA in PE suggests n-6 DPA that potentially be considered as a marker of tissue ethanolamine plasmalogen status. The combination of multivariate and bivariate statistics allowed to underline that the accretion pattern of n-3 LC-PUFA in PE and PS differ.

Published
2010
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20. Biomarker-based validity of a food frequency questionnaire estimating intake in Brazilian children and adolescents.

Author

Hillesheim, Elaine, Toffano, Roseli Borges Donegá, Barros, Tamiris Trevisan de, Salomão, Roberta Garcia, Mathias, Mariana Giaretta, Coelho-Landell, Carolina de Almeida, Almada, Maria Olímpia Ribeiro do Vale, Camarneiro, Joyce Moraes, Camelo-Junior, José Simon, Ued, Fábio da Veiga, Campos-Gimenez, Esther, Redeuil, Karine, Giner, Maria Pilar, Martin, Francois-Pierre, Montoliu, Ivan, Moco, Sofia, Kaput, Jim, and Monteiro, Jacqueline Pontes

Subjects
BRAZILIANS, NICOTINAMIDE, TEENAGERS, ERYTHROCYTES, BLOOD plasma, VITAMINS, BETA carotene, SURVEYS, QUESTIONNAIRES, FOLIC acid
Abstract

This study evaluated the validity of nutrient and food group intakes estimated by an FFQ against biomarkers. A 71-item semiquantitative FFQ was administered to 210 Brazilian children and adolescents aged 9-13 years. Intakes were correlated with biomarkers in plasma and red blood cells. Correlations between nutrients and their biomarkers were presented for animal protein, myristic acid (C14:0), EPA, DHA, β-carotene, folate, and vitamins B3, B5 and B6. Food groups and biomarkers were correlated as follows: fish products with EPA and DHA; milk and dairy with C14:0, pyridoxal 5'-phosphate and vitamin B12; total vegetables and dark green and orange vegetables with β-carotene; 5-methyltetrahydrofolate with green vegetables; and flour products with para-aminobenzoylglutamic acid. This FFQ is a valid tool for ranking Brazilian children and adolescents according to their intake of several nutrients and food groups. [ABSTRACT FROM AUTHOR]

Published
2021
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21. Additional file 1: Figure S1. of One-carbon metabolism, cognitive impairment and CSF measures of Alzheimer pathology: homocysteine and beyond

Author

Dayon, Loïc, Seu Guiraud, Corthésy, John, Silva, Laeticia Da, Migliavacca, Eugenia, Domilė Tautvydaitė, Oikonomidi, Aikaterini, Moullet, Barbara, Henry, Hugues, Métairon, Sylviane, Marquis, Julien, Descombes, Patrick, Collino, Sebastiano, François-Pierre Martin, Montoliu, Ivan, Kussmann, Martin, Wojcik, Jérôme, Bowman, Gene, and Popp, Julius

Subjects
mental disorders
Abstract

Box plots of CSF metabolite measurements for CDR of 0 and CDR >0 (i.e., CDR 0.5 or 1). Level of significance is indicated as p value after Bonferroni correction. Values were log-transformed. Figure S2. Box plots of plasma metabolite measurements for CDR 0 and CDR >0 (i.e., CDR 0.5 or 1). Level of significance is indicated as p value after Bonferroni correction. Concentration values were log-transformed. Figure S3. CSF and plasma metabolites correlated with CSF p-tau181 (a) and CSF tau (b) in APOE ε4 carriers (n = 37). Concentration values were log-transformed. Each dot represents a subject. The black line represents the linear fit, and the gray shading represents its confidence interval. Figure S4. Box plots of plasma metabolite measurements in APOE ε4 carriers (n = 37) according to CSF p-tau181/Aβ1–42 ratio (i.e., “low” when p-tau181/Aβ1–42 is ≤0.0779 and “high” when p-tau181/Aβ1–42 is > 0.0779) for negative and positive CSF profiles of AD pathology, respectively. Concentration values were log10-transformed. Level of significance is indicated as p value after Bonferroni correction. Supplementary Methods. (PDF 831 kb)

Published
2017
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23. Validation of the Brazilian Healthy Eating Index-Revised Using Biomarkers in Children and Adolescents

Author

Toffano, Roseli, primary, Hillesheim, Elaine, additional, Mathias, Mariana, additional, Coelho-Landell, Carolina, additional, Salomão, Roberta, additional, Almada, Maria, additional, Camarneiro, Joyce, additional, Barros, Tamiris, additional, Camelo-Junior, José, additional, Rezzi, Serge, additional, Goulet, Laurence, additional, Giner, Maria, additional, Silva, Laeticia, additional, Martin, Francois-Pierre, additional, Montoliu, Ivan, additional, Moco, Sofia, additional, Collino, Sebastiano, additional, Kaput, Jim, additional, and Monteiro, Jacqueline, additional

Published
2018
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24. Consensus Clustering of temporal profiles for the identification of metabolic markers of pre-diabetes in childhood (EarlyBird 73)

Author

Lauria, Mario, primary, Persico, Maria, additional, Dordevic, Nikola, additional, Cominetti, Ornella, additional, Matone, Alice, additional, Hosking, Joanne, additional, Jeffery, Alison, additional, Pinkney, Jonathan, additional, Da Silva, Laeticia, additional, Priami, Corrado, additional, Montoliu, Ivan, additional, and Martin, François-Pierre, additional

Published
2018
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25. Circadian and Feeding Rhythms Orchestrate the Diurnal Liver Acetylome

Author

Mauvoisin, Daniel, primary, Atger, Florian, additional, Dayon, Loïc, additional, Núñez Galindo, Antonio, additional, Wang, Jingkui, additional, Martin, Eva, additional, Da Silva, Laetitia, additional, Montoliu, Ivan, additional, Collino, Sebastiano, additional, Martin, Francois-Pierre, additional, Ratajczak, Joanna, additional, Cantó, Carles, additional, Kussmann, Martin, additional, Naef, Felix, additional, and Gachon, Frédéric, additional

Published
2017
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27. [P2-244]: ONE-CARBON METABOLISM, COGNITIVE IMPAIRMENT AND CSF MARKERS OF ALZHEIMER PATHOLOGY: HOMOCYSTEINE AND BEYOND

Author

Dayon, Loic, primary, Guiraud, Seu Ping, additional, Corthésy, John, additional, Da Silva, Laeticia, additional, Migliavacca, Eugenia, additional, Tautvydaite, Domile, additional, Oikonomidi, Aikaterini, additional, Moullet, Barbara, additional, Henry, Hugues, additional, Metairon, Sylviane, additional, Marquis, Julien, additional, Descombes, Patrick, additional, Collino, Sebastiano, additional, Martin, François-Pierre, additional, Montoliu, Ivan, additional, Wojcik, Jerome, additional, Bowman, Gene, additional, and Popp, Julius, additional

Published
2017
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28. One-carbon metabolism, cognitive impairment and CSF measures of Alzheimer pathology: homocysteine and beyond

Author

Dayon, Loïc, primary, Guiraud, Seu Ping, additional, Corthésy, John, additional, Da Silva, Laeticia, additional, Migliavacca, Eugenia, additional, Tautvydaitė, Domilė, additional, Oikonomidi, Aikaterini, additional, Moullet, Barbara, additional, Henry, Hugues, additional, Métairon, Sylviane, additional, Marquis, Julien, additional, Descombes, Patrick, additional, Collino, Sebastiano, additional, Martin, François-Pierre J., additional, Montoliu, Ivan, additional, Kussmann, Martin, additional, Wojcik, Jérôme, additional, Bowman, Gene L., additional, and Popp, Julius, additional

Published
2017
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29. Improvement of cardiometabolic markers after fish oil intervention in young Mexican adults and the role of PPARα L162V and PPARγ2 P12A

Author

Binia, Aristea, primary, Vargas-Martínez, Carolina, additional, Ancira-Moreno, Mónica, additional, Gosoniu, Laura M., additional, Montoliu, Ivan, additional, Gámez-Valdez, Elí, additional, Soria-Contreras, Diana C., additional, Angeles-Quezada, Adriana, additional, Gonzalez-Alberto, Rocío, additional, Fernández, Silvia, additional, Martínez-Conde, Diego, additional, Hernández-Morán, Brianda, additional, Ramírez-Solano, Marisol, additional, Pérez-Ortega, Carlos, additional, Rodríguez-Carmona, Yanelli, additional, Castan, Isabelle, additional, Rubio-Aliaga, Isabel, additional, Vadillo-Ortega, Felipe, additional, Márquez-Velasco, Ricardo, additional, Bojalil, Rafael, additional, López-Alvarenga, Juan Carlos, additional, Valet, Philippe, additional, Kussmann, Martin, additional, Silva-Zolezzi, Irma, additional, and Tejero, M Elizabeth, additional

Published
2017
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31. Blood Plasma Lipidomic Signature of Epicardial Fat in Healthy Obese Women

Author

Scherer, Max, Montoliu, Ivan, Qanadli, Salah D., Collino, Sebastiano, Rezzi, Serge, Kussmann, Martin, Giusti, Vittorio, and Martin, Francois-Pierre J.

Subjects
RISK, INSULIN-RESISTANCE, ADIPOSE-TISSUE, VISCERAL FAT, SHOTGUN LIPIDOMICS, TRIGLYCERIDE, MASS, POPULATION, METABOLIC SYNDROME, ASSOCIATIONS
Abstract

ObjectivesA lipidomic approach was employed in a clinically well-defined cohort of healthy obese women to explore blood lipidome phenotype ascribed to body fat deposition, with emphasis on epicardial adipose tissue (EAT).MethodsThe present investigation delivered a lipidomics signature of epicardial adiposity under healthy clinical conditions using a cohort of 40 obese females (age: 25-45 years, BMI: 28-40 kg/m(2)) not showing any metabolic disease traits. Lipidomics analysis of blood plasma was employed in combination with in vivo quantitation of mediastinal fat depots by computerized tomography.ResultsAll cardiac fat depots correlated to indicators of hepatic dysfunctions (ALAT and ASAT), which describe physiological connections between hepatic and cardiac steatosis. Plasma lipidomics encompassed overall levels of lipid classes, fatty acid profiles, and individual lipid species. EAT and visceral fat associated with diacylglycerols (DAG), triglycerides, and distinct phospholipid and sphingolipid species. A pattern of DAG and phosphoglycerols was specific to EAT.ConclusionsHuman blood plasma lipidomics appears to be a promising clinical and potentially diagnostic readout for patient stratification and monitoring. Association of blood lipidomics signature to regio-specific mediastinal and visceral adiposity under healthy clinical conditions may help provide more biological insights into obese patient stratification for cardiovascular disease risks.

Published
2015

32. High-throughput method for the quantitation of metabolites and co-factors from homocysteine–methionine cycle for nutritional status assessment

Author

Da Silva, Laeticia, primary, Collino, Sebastiano, additional, Cominetti, Ornella, additional, Martin, Francois-Pierre, additional, Montoliu, Ivan, additional, Moreno, Sergio Oller, additional, Corthesy, John, additional, Kaput, Jim, additional, Kussmann, Martin, additional, Monteiro, Jacqueline Pontes, additional, and Guiraud, Seu Ping, additional

Published
2016
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36. Systems Biology Approaches for Inflammatory Bowel Disease

Author

Moco, Sofia, primary, Candela, Marco, additional, Chuang, Emil, additional, Draper, Colleen, additional, Cominetti, Ornella, additional, Montoliu, Ivan, additional, Barron, Denis, additional, Kussmann, Martin, additional, Brigidi, Patrizia, additional, Gionchetti, Paolo, additional, and Martin, Francois-Pierre J., additional

Published
2014
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38. Genome-Wide Association Study of Metabolic Traits Reveals Novel Gene-Metabolite-Disease Links

Author

Rueedi, Rico, primary, Ledda, Mirko, additional, Nicholls, Andrew W., additional, Salek, Reza M., additional, Marques-Vidal, Pedro, additional, Morya, Edgard, additional, Sameshima, Koichi, additional, Montoliu, Ivan, additional, Da Silva, Laeticia, additional, Collino, Sebastiano, additional, Martin, François-Pierre, additional, Rezzi, Serge, additional, Steinbeck, Christoph, additional, Waterworth, Dawn M., additional, Waeber, Gérard, additional, Vollenweider, Peter, additional, Beckmann, Jacques S., additional, Le Coutre, Johannes, additional, Mooser, Vincent, additional, Bergmann, Sven, additional, Genick, Ulrich K., additional, and Kutalik, Zoltán, additional

Published
2014
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39. Serum profiling of healthy aging identifies phospho- and sphingolipid species as markers of human longevity

Author

Montoliu, Ivan, primary, Scherer, Max, additional, Beguelin, Fiona, additional, DaSilva, Laeticia, additional, Mari, Daniela, additional, Salvioli, Stefano, additional, Martin, François-Pierre J., additional, Capri, Miriam, additional, Bucci, Laura, additional, Ostan, Rita, additional, Garagnani, Paolo, additional, Monti, Daniela, additional, Biagi, Elena, additional, Brigidi, Patrizia, additional, Kussmann, Martin, additional, Rezzi, Serge, additional, Franceschi, Claudio, additional, and Collino, Sebastiano, additional

Published
2014
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42. Correction: Topographical Body Fat Distribution Links to Amino Acid and Lipid Metabolism in Healthy Non-Obese Women

Author

Martin, Francois-Pierre J., primary, Montoliu, Ivan, additional, Collino, Sebastiano, additional, Scherer, Max, additional, Guy, Philippe, additional, Tavazzi, Isabelle, additional, Thorimbert, Anita, additional, Moco, Sofia, additional, Rothney, Megan P., additional, Ergun, David L., additional, Beaumont, Maurice, additional, Ginty, Fiona, additional, Qanadli, Salah D., additional, Favre, Lucie, additional, Giusti, Vittorio, additional, and Rezzi, Serge, additional

Published
2013
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44. Topographical Body Fat Distribution Links to Amino Acid and Lipid Metabolism in Healthy Non-Obese Women

Author

Martin, Francois-Pierre J., primary, Montoliu, Ivan, additional, Collino, Sebastiano, additional, Scherer, Max, additional, Guy, Philippe, additional, Tavazzi, Isabelle, additional, Thorimbert, Anita, additional, Moco, Sofia, additional, Rothney, Megan P., additional, Ergun, David L., additional, Beaumont, Maurice, additional, Ginty, Fiona, additional, Qanadli, Salah D., additional, Favre, Lucie, additional, Giusti, Vittorio, additional, and Rezzi, Serge, additional

Published
2013
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45. Correction: Metabolic Signatures of Extreme Longevity in Northern Italian Centenarians Reveal a Complex Remodeling of Lipids, Amino Acids, and Gut Microbiota Metabolism

Author

Collino, Sebastiano, primary, Montoliu, Ivan, additional, Martin, François-Pierre J., additional, Scherer, Max, additional, Mari, Daniela, additional, Salvioli, Stefano, additional, Bucci, Laura, additional, Ostan, Rita, additional, Monti, Daniela, additional, Biagi, Elena, additional, Brigidi, Patrizia, additional, Franceschi, Claudio, additional, and Rezzi, Serge, additional

Published
2013
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46. Early Metabolic Adaptation in C57BL/6 Mice Resistant to High Fat Diet Induced Weight Gain Involves an Activation of Mitochondrial Oxidative Pathways

Author

Boulangé, Claire L., primary, Claus, Sandrine P., additional, Chou, Chieh J., additional, Collino, Sebastiano, additional, Montoliu, Ivan, additional, Kochhar, Sunil, additional, Holmes, Elaine, additional, Rezzi, Serge, additional, Nicholson, Jeremy K., additional, Dumas, Marc E., additional, and Martin, François-Pierre J., additional

Published
2013
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47. Metabolic Signatures of Extreme Longevity in Northern Italian Centenarians Reveal a Complex Remodeling of Lipids, Amino Acids, and Gut Microbiota Metabolism

Author

Collino, Sebastiano, primary, Montoliu, Ivan, additional, Martin, François-Pierre J., additional, Scherer, Max, additional, Mari, Daniela, additional, Salvioli, Stefano, additional, Bucci, Laura, additional, Ostan, Rita, additional, Monti, Daniela, additional, Biagi, Elena, additional, Brigidi, Patrizia, additional, Franceschi, Claudio, additional, and Rezzi, Serge, additional

Published
2013
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50. Metabolic Phenotyping of the Crohn's Disease-like IBD Etiopathology in the TNFΔARE/WTMouse Model

Author

Baur, Pia, primary, Martin, François-Pierre, additional, Gruber, Lisa, additional, Bosco, Nabil, additional, Brahmbhatt, Viral, additional, Collino, Sebastiano, additional, Guy, Philippe, additional, Montoliu, Ivan, additional, Rozman, Jan, additional, Klingenspor, Martin, additional, Tavazzi, Isabelle, additional, Thorimbert, Anita, additional, Rezzi, Serge, additional, Kochhar, Sunil, additional, Benyacoub, Jalil, additional, Kollias, George, additional, and Haller, Dirk, additional

Published
2011
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