19 results on '"van Heemst, D"'
Search Results
2. Association of Glasgow Prognostic Score with frailty, mortality and adverse health outcomes in older patients with cancer: A prospective cohort study.
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van Holstein Y, Trompet S, van Munster BC, van den Berkmortel PJE, van Heemst D, de Glas NA, Slingerland M, Slagboom PE, Holterhues C, Labots G, Mooijaart SP, Portielje JEA, and van den Bos F
- Abstract
Introduction: To balance benefits and risks of cancer treatment in older patients, prognostic information is needed. The Glasgow Prognostic Score (GPS), composed of albumin and C-reactive protein (CRP), might provide such information. This study first aims to investigate the association between GPS and frailty, functional decline, and health-related quality of life (HRQoL) decline as indicators of health problems in older patients with cancer. The second aim is to study the predictive value of GPS for mortality, in addition to clinical predictors., Materials and Methods: This prospective cohort study included patients aged ≥70 years with a solid malignant tumor who underwent a geriatric assessment and blood sampling before treatment initiation. GPS was calculated using serum albumin and CRP measured in batch, categorized into normal (0) and abnormal GPS (1-2). Outcomes were all-cause mortality and a composite outcome of decline in daily functioning and/or HRQoL, or mortality at one year follow-up. Daily functioning was assessed by Activities of Daily Living and Instrumental Activities of Daily Living questionnaires and HRQoL by the EQ-5D-3L and EQ-VAS questionnaires., Results: In total, 192 patients with a median age of 77 years (interquartile range 72.3-81.0) were included. Patients with abnormal GPS were more often frail compared to those with normal GPS (79 % vs. 63 %, p = 0.03). Patients with abnormal GPS had higher mortality rates after one year compared to those with normal GPS (48 % vs. 23 %, p < 0.01) in unadjusted analysis. Abnormal GPS was associated with increased mortality risk (hazard ratio 2.8, 95 % CI 1.7-4.8). The area under the receiver operating characteristics curve of age, distant metastasis, tumor site, comorbidity, and malnutrition combined was 0.73 (0.68-0.83) for mortality prediction, and changed to 0.78 (0.73-0.86) with GPS (p = 0.10). The composite outcome occurred in 88 % of patients with abnormal GPS versus 83 % with normal GPS (p = 0.44)., Discussion: Abnormal GPS was associated with frailty and mortality. The addition of GPS to clinical predictors showed a numerically superior mortality prediction in this cohort of older patients with cancer, although not statistically significant. While GPS may improve the stratification of future older patients with cancer, larger studies including older patients with similar tumor types are necessary to evaluate its clinical usefulness., Trial Registration: The TENT study is retrospectively registered at the Netherlands Trial Register (NTR), trial number NL8107. Date of registration: 22-10-2019., Competing Interests: Declaration of Competing Interest The authors have no conflicts., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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3. Association of a composite trait for anthropometrics, adiposity and energy expenditure with cardiometabolic diseases: An age-stratified cohort and genetic risk score analysis.
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Meulmeester FL, van Dijk KW, van Heemst D, and Noordam R
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Aim: Various anthropometric measures capture distinct as well as overlapping characteristics of an individual's body composition. To characterize independent body composition measures, we aimed to reduce easily-obtainable individual measures reflecting adiposity, anthropometrics and energy expenditure into fewer independent constructs, and to assess their potential sex- and age-specific relation with cardiometabolic diseases., Methods: Analyses were performed within European ancestry participants from UK Biobank (N = 418,963, mean age 58.0 years, 56% women). Principal components (PC) analyses were used for the dimension reduction of 11 measures of adiposity, anthropometrics and energy expenditure. PCs were studied in relation to incident type 2 diabetes mellitus (T2D) and coronary artery disease (CAD). Multivariable-adjusted Cox regression analyses, adjusted for confounding factors, were performed in all and stratified by age. Genome-wide association studies were performed in half of the cohort (N = 156,295) to identify genetic variants as instrumental variables. Genetic risk score analyses were performed in the other half of the cohort stratified by age of disease onset (N = 156,295)., Results: We identified two PCs, of which PC1 reflected lower overall adiposity (negatively correlated with all adiposity aspects) and PC2 reflected more central adiposity (mainly correlated with higher waist-hip ratio, but with lower total body fat) and increased height, collectively capturing 87.8% of the total variance. Similar to that observed in the multivariable-adjusted regression analyses, we found associations between the PC1 genetic risk score and lower risks of CAD and T2D [CAD cases <50 years, odds ratio: 0.91 (95% confidence interval 0.87, 0.94) per SD; T2D cases <50 years, odds ratio: 0.76 (0.72, 0.81)], which attenuated with higher age (p-values 8.13E-4 and 2.41E-6, respectively). No associations were found for PC2., Conclusions: The consistently observed weaker associations of the composite traits with cardiometabolic disease suggests the need for age-specific cardiometabolic disease prevention strategies., (© 2024 The Author(s). Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)
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- 2024
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4. The association of inflammatory markers with frailty and in-hospital mortality in older COVID-19 patients.
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Tran Van Hoi E, Appelman B, Mooijaart S, Dalm VASH, Polinder Bos HA, van Heemst D, van Raaij BFM, Noordam R, Kuranova A, Hoogerwerf JJ, Peeters G, and Smorenberg A
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- Aged, Aged, 80 and over, Female, Humans, Male, C-Reactive Protein analysis, C-Reactive Protein metabolism, Frail Elderly statistics & numerical data, Hospitalization, Lymphocyte Count, Netherlands epidemiology, Neutrophils, SARS-CoV-2 immunology, SARS-CoV-2 isolation & purification, Biomarkers blood, COVID-19 blood, COVID-19 diagnosis, COVID-19 immunology, COVID-19 mortality, Frailty blood, Frailty mortality, Hospital Mortality, Inflammation blood, Inflammation immunology, Inflammation mortality
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Introduction: During the COVID19 pandemic, older patients hospitalized for COVID-19 exhibited an increased mortality risk compared to younger patients. While ageing is associated with compromised immune responses and frailty, their contributions and interplay remain understudied. This study investigated the association between inflammatory markers and mortality and potential modification by frailty among older patients hospitalized for COVID-19., Methods: Data were from three multicenter Dutch cohorts (COVID-OLD, CliniCo, Covid-Predict). Patients were 70 years or older, hospitalized for COVID-19and categorized into three frailty groups: fit (Clinical frailty score (CFS) 1-3), pre-frail (CFS 4-5), and frail (CFS 6-9). Immunological markers (lymphocyte count, neutrophil count, C-reactive protein, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic inflammation index (SII)) were measured at baseline. Associations with in hospital mortality were examined using logistic regression., Results: A total of 1697 patients were included from COVID-OLD, 656 from Covid-Predict, and 574 from CliniCo. The median age was 79, 77, and 78 years for each cohort. Hospital mortality rates were 33 %, 27 % and 39 % in the three cohorts, respectively. A lower CRP was associated with a higher frailty score in all three cohorts (all p < 0.01). Lymphocyte count, neutrophil count, NLR, PLR, or SII, were similar across frailty groups. Higher CRP levels were associated with increased in-hospital mortality risk across all frailty groups, across all cohorts (OR (95 % CI), 2.88 (2.20-3.78), 3.15 (1.95-5.16), and 3.28 (1.87-5.92)), and frailty did not modify the association between inflammatory markers and in-hospital mortality (all p-interaction>0.05)., Conclusion: While frailty is a significant factor in determining overall outcomes in older patients, our study suggests that the elevated risk of mortality in older patients with frailty compared to fit patients is likely not explained by difference in inflammatory responses., Competing Interests: Declaration of competing interest The authors declare that they have no known conflict of interest., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
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- 2024
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5. Large-scale genome-wide interaction analyses on multiple cardiometabolic risk factors to identify age-specific genetic risk factors.
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Ao L, van Heemst D, Luo J, Teder-Laving M, Mägi R, Frikke-Schmidt R, Willems van Dijk K, and Noordam R
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The genetic landscape of cardiometabolic risk factors has been explored extensively. However, insight in the effects of genetic variation on these risk factors over the life course is sparse. Here, we performed genome-wide interaction studies (GWIS) on different cardiometabolic risk factors to identify age-specific genetic risks. This study included 270,276 unrelated European-ancestry participants from the UK Biobank (54.2% women, a median age of 58 [interquartile range (IQR): 50, 63] years). GWIS models with interaction terms between genetic variants and age were performed on apolipoprotein B (ApoB), low-density lipoprotein-cholesterol (LDL-C), log-transformed triglycerides (TG), body mass index (BMI) and systolic blood pressure (SBP). Replication was subsequently performed in the Copenhagen General Population Study (CGPS) and the Estonian Biobank (EstBB). Multiple lead variants were identified to have genome-wide significant interactions with age (P
interaction < 1e - 08). In detail, rs429358 (tagging APOE4) was identified for ApoB (Pinteraction = 9.0e - 14) and TG (Pinteraction = 5.4e - 16). Three additional lead variants were identified for ApoB: rs11591147 (R46L in PCSK9, Pinteraction = 3.9e - 09), rs34601365 (near APOB, Pinteraction = 8.4e - 09) and rs17248720 (near LDLR, Pinteraction = 2.0e - 09). Effect sizes of the identified lead variants were generally closer to the null with increasing age. No variant-age interactions were identified for LDL-C, SBP and BMI. The significant interactions of rs429358 with age on ApoB and TG were replicated in both CGPS and EstBB. The majority of genetic effects on cardiometabolic risk factors remain relatively constant over age, with the noted exceptions of specific genetic effects on ApoB and TG., (© 2024. The Author(s).)- Published
- 2024
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6. A Large-Scale Genome-Wide Gene-Sleep Interaction Study in 732,564 Participants Identifies Lipid Loci Explaining Sleep-Associated Lipid Disturbances.
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Noordam R, Wang W, Nagarajan P, Wang H, Brown MR, Bentley AR, Hui Q, Kraja AT, Morrison JL, O'Connel JR, Lee S, Schwander K, Bartz TM, de las Fuentes L, Feitosa MF, Guo X, Hanfei X, Harris SE, Huang Z, Kals M, Lefevre C, Mangino M, Milaneschi Y, van der Most P, Pacheco NL, Palmer ND, Rao V, Rauramaa R, Sun Q, Tabara Y, Vojinovic D, Wang Y, Weiss S, Yang Q, Zhao W, Zhu W, Abu Yusuf Ansari M, Aschard H, Anugu P, Assimes TL, Attia J, Baker LD, Ballantyne C, Bazzano L, Boerwinkle E, Cade B, Chen HH, Chen W, Ida Chen YD, Chen Z, Cho K, De Anda-Duran I, Dimitrov L, Do A, Edwards T, Faquih T, Hingorani A, Fisher-Hoch SP, Gaziano JM, Gharib SA, Giri A, Ghanbari M, Grabe HJ, Graff M, Gu CC, He J, Heikkinen S, Hixson J, Ho YL, Hood MM, Houghton SC, Karvonen-Gutierrez CA, Kawaguchi T, Kilpeläinen TO, Komulainen P, Lin HJ, Linchangco GV, Luik AI, Ma J, Meigs JB, McCormick JB, Menni C, Nolte IM, Norris JM, Petty LE, Polikowsky HG, Raffield LM, Rich SS, Riha RL, Russ TC, Ruiz-Narvaez EA, Sitlani CM, Smith JA, Snieder H, Sofer T, Shen B, Tang J, Taylor KD, Teder-Laving M, Triatin R, Tsai MY, Völzke H, Westerman KE, Xia R, Yao J, Young KL, Zhang R, Zonderman AB, Zhu X, Below JE, Cox SR, Evans M, Fornage M, Fox ER, Franceschini N, Harlow SD, Holliday E, Ikram MA, Kelly T, Lakka TA, Lawlor DA, Li C, Liu CT, Mägi R, Manning AK, Matsuda F, Morrison AC, Nauck M, North KE, Penninx BW, Province MA, Psaty BM, Rotter JI, Spector TD, Wagenknecht LE, Willems van Dijk K, Study LC, Jaquish CE, Wilson PW, Peyser PA, Munroe PB, de Vries PS, Gauderman WJ, Sun YV, Chen H, Miller CL, Winkler TW, Rao DC, Redline S, and van Heemst D
- Abstract
We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify novel genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets. We collected data from 55 cohorts with a combined sample size of 732,564 participants (87% European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) total sleep time were defined by the extreme 20% of the age- and sex-standardized values within each cohort. Based on cohort-level summary statistics data, we performed meta-analyses for the one-degree of freedom tests of interaction and two-degree of freedom joint tests of the main and interaction effect. In the cross-population meta-analyses, the one-degree of freedom variant-sleep interaction test identified 10 loci (P
int <5.0e-9) not previously observed for lipids. Of interest, the ASPH locus (TG, LTST) is a target for aspartic and succinic acid metabolism previously shown to improve sleep and cardiovascular risk. The two-degree of freedom analyses identified an additional 7 loci that showed evidence for variant-sleep interaction (Pjoint <5.0e-9 in combination with Pint <6.6e-6). Of these, the SLC8A1 locus (TG, STST) has been considered a potential treatment target for reduction of ischemic damage after acute myocardial infarction. Collectively, the 17 (9 with STST; 8 with LTST) loci identified in this large-scale initiative provides evidence into the biomolecular mechanisms underpinning sleep-duration-associated changes in lipid levels. The identified druggable targets may contribute to the development of novel therapies for dyslipidemia in people with sleep disturbances.- Published
- 2024
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7. Genome-Wide Interaction Analyses of Serum Calcium on Ventricular Repolarization Time in 125 393 Participants.
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Young WJ, van der Most PJ, Bartz TM, Bos MM, Biino G, Duong T, Foco L, Lominchar JT, Müller-Nurasyid M, Nardone GG, Pecori A, Ramirez J, Repetto L, Schramm K, Shen X, van Duijvenboden S, van Heemst D, Weiss S, Yao J, Benjamins JW, Alonso A, Spedicati B, Biggs ML, Brody JA, Dörr M, Fuchsberger C, Gögele M, Guo X, Ikram MA, Jukema JW, Kääb S, Kanters JK, Lin HJ, Linneberg A, Nauck M, Nolte IM, Pianigiani G, Santin A, Soliman EZ, Tesolin P, Vaccargiu S, Waldenberger M, van der Harst P, Verweij N, Arking DE, Concas MP, De Grandi A, Girotto G, Grarup N, Kavousi M, Mook-Kanamori DO, Navarro P, Orini M, Padmanabhan S, Pattaro C, Peters A, Pirastu M, Pramstaller PP, Heckbert SR, Sinner M, Snieder H, Völker U, Wilson JF, Gauderman WJ, Lambiase PD, Sotoodehnia N, Tinker A, Warren HR, Noordam R, and Munroe PB
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- Humans, Action Potentials, Arrhythmias, Cardiac genetics, Arrhythmias, Cardiac physiopathology, Arrhythmias, Cardiac blood, Arrhythmias, Cardiac diagnosis, Electrocardiography, Genetic Predisposition to Disease, Heart Rate genetics, Heart Rate physiology, Polymorphism, Single Nucleotide, Risk Factors, Time Factors, Calcium blood, Genome-Wide Association Study
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Background: Ventricular repolarization time (ECG QT and JT intervals) is associated with malignant arrhythmia. Genome-wide association studies have identified 230 independent loci for QT and JT; however, 50% of their heritability remains unexplained. Previous work supports a causal effect of lower serum calcium concentrations on longer ventricular repolarization time. We hypothesized calcium interactions with QT and JT variant associations could explain a proportion of the missing heritability., Methods and Results: We performed genome-wide calcium interaction analyses for QT and JT intervals. Participants were stratified by their calcium level relative to the study distribution (top or bottom 20%). We performed a 2-stage analysis (genome-wide discovery [N=62 532] and replication [N=59 861] of lead variants) and a single-stage genome-wide meta-analysis (N=122 393, [European ancestry N=117 581, African ancestry N=4812]). We also calculated 2-degrees of freedom joint main and interaction and 1-degree of freedom interaction P values. In 2-stage and single-stage analyses, 50 and 98 independent loci, respectively, were associated with either QT or JT intervals (2-degrees of freedom joint main and interaction P value <5×10
-8 ). No lead variant had a significant interaction result after correcting for multiple testing and sensitivity analyses provided similar findings. Two loci in the single-stage meta-analysis were not reported previously ( SPPL2B and RFX6 )., Conclusions: We have found limited support for an interaction effect of serum calcium on QT and JT variant associations despite sample sizes with suitable power to detect relevant effects. Therefore, such effects are unlikely to explain a meaningful proportion of the heritability of QT and JT, and factors including rare variation and other environmental interactions need to be considered.- Published
- 2024
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8. Older adults exercising ON TIME: protocol for a randomized controlled cross-over study to assess the effect of physical activity timing on insomnia severity.
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Albalak G, Noordam R, van der Elst M, Kervezee L, Exadaktylos V, van Bodegom D, and van Heemst D
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- Humans, Aged, Time Factors, Male, Female, Severity of Illness Index, Netherlands, Circadian Rhythm, Sleep Quality, Melatonin blood, Treatment Outcome, Circadian Clocks, Exercise Therapy methods, Age Factors, Cross-Over Studies, Sleep Initiation and Maintenance Disorders physiopathology, Sleep Initiation and Maintenance Disorders therapy, Exercise, Randomized Controlled Trials as Topic
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Background: There are increased indications that physical activity timing, irrespective of intensity, impacts insomnia and circadian clock function. Here, we describe the rationale and design of a randomized cross-over study, called ON TIME, to examine the effects of (changing) physical activity timing on insomnia severity and on multiple exploratory outcomes that are linked to circadian clock function., Methods: We will conduct a randomized cross-over trial in 40 healthy older adults (aged 65 to 75 years) with subclinical or clinical insomnia (Insomnia Severity Index (ISI) scores of ≥ 10) from the Dutch municipality of Leiden and surroundings. Participants will undergo 3 intervention periods (14 days each) consecutively: one sedentary period and two periods of increased physical activity (one period with morning activity and one period with evening activity). The intervention periods are separated by a wash-out period of 1 week. In both active intervention arms, participants will follow coached or uncoached outdoor physical exercise sessions comprising endurance, strength, and flexibility exercises for 14 days. The primary outcome is change in insomnia severity as measured by the ISI. Additional exploratory outcomes include multiple components of objective sleep quality measured with tri-axial accelerometry and subjective sleep quality assessed by questionnaires as well as dim light melatonin onset and 24-h rhythms in heart rate, heart rate variability, breathing rate, oxygen saturation, mood, and objective emotional arousal and stress. Additionally, we will collect diary data on eating patterns (timing and composition). Finally, fasting blood samples will be collected at baseline and after each intervention period for measurements of biomarkers of metabolic and physiological functioning and expression of genes involved in regulation of the biological clock., Discussion: We anticipate that this study will make a significant contribution to the limited knowledge on the effect of physical activity timing. Optimizing physical activity timing has the potential to augment the health benefits of increased physical exercise in the aging population., Trial Registration: Trial was approved by the Medical Ethics Committee Leiden, The Hague, Delft, The Netherlands (June, 2023). The trial was registered in the CCMO-register https://www.toetsingonline.nl/to/ccmo_search.nsf/Searchform?OpenForm under study ID NL82335.058.22 and named ("Ouderen op tijd in beweging" or in English "Older adults exercising on time"). At time of manuscript submission, the trial was additionally registered at ClinicalTrials.gov under study ID: NL82335.058.22 and is awaiting approval., (© 2024. The Author(s).)
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- 2024
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9. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations.
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Wang H, Nagarajan P, Winkler T, Bentley A, Miller C, Kraja A, Schwander K, Lee S, Wang W, Brown M, Morrison J, Giri A, O'Connell J, Bartz T, de las Fuentes L, Gudmundsdottir V, Guo X, Harris S, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer N, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most P, Wang Y, Weiss S, Westerman K, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja A, Arzt M, Aschard H, Attia J, Bazzano L, Breyer M, Brody J, Cade B, Chen HH, Chen YI, Chen Z, de Vries P, Dimitrov L, Do A, Du J, Dupont C, Edwards T, Evans M, Faquih T, Felix S, Fisher-Hoch S, Floyd J, Graff M, Charles Gu C, Gu D, Hairston K, Hanley A, Heid I, Heikkinen S, Highland H, Hood M, Kähönen M, Karvonen-Gutierrez C, Kawaguchi T, Kazuya S, Tanika K, Komulainen P, Levy D, Lin H, Liu P, Marques-Vidal P, McCormick J, Mei H, Meigs J, Menni C, Nam K, Nolte I, Pacheco N, Petty L, Polikowsky H, Province M, Psaty B, Raffield L, Raitakari O, Rich S, Riha R, Risch L, Risch M, Ruiz-Narvaez E, Scott R, Sitlani C, Smith J, Sofer T, Teder-Laving M, Völker U, Vollenweider P, Wang G, van Dijk KW, Wilson O, Xia R, Yao J, Young K, Zhang R, Zhu X, Below J, Böger C, Conen D, Cox S, Dörr M, Feitosa M, Fox E, Franceschini N, Gharib S, Gudnason V, Harlow S, He J, Holliday E, Kutalik Z, Lakka T, Lawlor D, Lee S, Lehtimäki T, Li C, Liu CT, Mägi R, Matsuda F, Morrison A, Penninx BWJH, Peyser P, Rotter J, Snieder H, Spector T, Wagenknecht L, Wareham N, Zonderman A, North K, Fornage M, Hung A, Manning A, Gauderman W, Chen H, Munroe P, Rao D, van Heemst D, Redline S, and Noordam R
- Abstract
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health lifestyle. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausible nature of distinct influences of both sleep duration extremes in cardiovascular health. Several of our loci are specific towards a particular population background or sex, emphasizing the importance of addressing heterogeneity entangled in gene-environment interactions, when considering precision medicine design approaches for blood pressure management., Competing Interests: Declarations CONFLICT OF INTEREST C.L.M. has received funding from AstraZeneca not related to the current study. B.M.P. serves on the steering committee of the Yale Open Data Access Project funded by Johnson & Johnson. D.C. receives consultancy fees from Roche Diagnostics and Trimedics and speaker fees from Servier. D.A.L. has received support from Medtronic LTD and Roche Diagnostics for biomarker research not related to the current study. The remaining authors declare no competing interests.
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- 2024
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10. The role of genetically-influenced phospholipid transfer protein activity in lipoprotein metabolism and coronary artery disease.
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Ao L, Noordam R, Rensen PCN, van Heemst D, and Willems van Dijk K
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- Humans, Male, Female, Cholesterol, LDL blood, Cholesterol, LDL metabolism, Mendelian Randomization Analysis, Middle Aged, Lipoproteins metabolism, Lipoproteins blood, Coronary Artery Disease metabolism, Coronary Artery Disease genetics, Coronary Artery Disease blood, Phospholipid Transfer Proteins genetics, Phospholipid Transfer Proteins metabolism
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Background: Phospholipid transfer protein (PLTP) transfers surface phospholipids between lipoproteins and as such plays a role in lipoprotein metabolism, but with unclear effects on coronary artery disease (CAD) risk. We aimed to investigate the associations of genetically-influenced PLTP activity with 1-H nuclear magnetic resonance (
1 H-NMR) metabolomic measures and with CAD. Furthermore, using factorial Mendelian randomization (MR), we examined the potential additional effect of genetically-influenced PLTP activity on CAD risk on top of genetically-influenced low-density lipoprotein-cholesterol (LDL-C) lowering., Methods: Using data from UK Biobank, genetic scores for PLTP activity and LDL-C were calculated and dichotomised based on the median, generating four groups with combinations of high/low PLTP activity and high/low LDL-C levels for the factorial MR. Linear and logistic regressions were performed on 168 metabolomic measures (N = 58,514) and CAD (N = 318,734, N-cases=37,552), respectively, with results expressed as β coefficients (in standard deviation units) or odds ratios (ORs) and 95% confidence interval (CI)., Results: Irrespective of the genetically-influenced LDL-C, genetically-influenced low PLTP activity was associated with a higher high-density lipoprotein (HDL) particle concentration (β [95% CI]: 0.03 [0.01, 0.05]), smaller HDL size (-0.14 [-0.15, -0.12]) and higher triglyceride (TG) concentration (0.04 [0.02, 0.05]), but not with CAD (OR 0.99 [0.97, 1.02]). In factorial MR analyses, genetically-influenced low PLTP activity and genetically-influenced low LDL-C had independent associations with metabolomic measures, and genetically-influenced low PLTP activity did not show an additional effect on CAD risk., Conclusions: Low PLTP activity associates with higher HDL particle concentration, smaller HDL particle size and higher TG concentration, but no association with CAD risk was observed., Competing Interests: Declarations of Competing Interest None., (Copyright © 2024. Published by Elsevier Inc.)- Published
- 2024
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11. No evidence linking sleep traits with white blood cell counts: Multivariable-adjusted and Mendelian randomization analyses.
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Noordam R, Ao L, Stroo JF, Willems van Dijk K, and van Heemst D
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- Humans, Male, Female, Middle Aged, Leukocyte Count, Cross-Sectional Studies, Aged, Sleep Initiation and Maintenance Disorders genetics, Sleep Initiation and Maintenance Disorders epidemiology, Linear Models, Polymorphism, Single Nucleotide, Adult, Multivariate Analysis, Mendelian Randomization Analysis, Sleep genetics, Sleep physiology
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Background: Disturbances in habitual sleep have been associated with multiple age-associated diseases. However, the biological mechanisms underpinning these associations remain largely unclear. We assessed the possible involvement of the circulating immune system by determining the associations between sleep traits and white blood cell counts using multivariable-adjusted linear regression and Mendelian randomization., Methods: Cross-sectional multivariable-adjusted linear regression analyses were done using participants within the normal range of total white blood cell counts (>4.5 × 10
9 and <11.0 × 109 /μL) from UK Biobank. For the sleep traits, we examined (short and long) sleep duration, chronotype, insomnia symptoms and daytime dozing. Two-sample Mendelian randomization analyses were done using instruments for sleep traits derived from European-ancestry participants from UK Biobank (over 410,000 participants) and using SNP-outcome data derived from European-ancestry participants from the Blood Cell Consortium (N = 563,946) to which no data from UK Biobank contributed., Results: Using data from 357,656 participants (mean [standard deviation] age: 56.5 [8.1] years, and 44.4% men), we did not find evidence that disturbances in any of the studied sleep traits were associated with differences in blood cell counts (total, lymphocytes, neutrophiles, eosinophiles and basophiles). Also, we did not find associations between disturbances in any of the studied sleep traits and white blood cell counts using Mendelian Randomization., Conclusion: Based on the results from two different methodologies, disturbances in habitual sleep are unlikely to cause changes in blood cell counts and thereby differences in blood cell counts are unlikely to be underlying the observed sleep-disease associations., (© 2024 The Authors. European Journal of Clinical Investigation published by John Wiley & Sons Ltd on behalf of Stichting European Society for Clinical Investigation Journal Foundation.)- Published
- 2024
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12. Maternal thyroid function in early pregnancy and offspring school performance and neurodevelopmental disorders.
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Møllehave LT, Grand MK, Kriegbaum M, Andersen CL, Lind BS, van Vliet NA, van Heemst D, and Strandberg-Larsen K
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Context: Thyroid hormones are critical for neural development, and during the first trimester of pregnancy the fetus relies fully on maternal thyroid hormone production., Objective: To investigate the associations between maternal thyroid hormone levels in the first trimester with the child's school performance, risk of attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD)., Methods: From the Copenhagen Primary Care Laboratory Pregnancy Database information on first trimester TSH and fT4 measurements in mothers of children born in 2000-2014 were linked with information on the child's standardized test scores in school, ADHD (patient record diagnoses and medication) and ASD (patient record diagnoses) until end of 2018. Associations of TSH and fT4 with the outcomes were individually assessed by linear mixed models and Cox regression models. The analyses were stratified by preexisting maternal thyroid disorders., Results: TSH measurements were available for 17,909 mother-child dyads. Among those with children born in 2000-2009, 6,126 had a standardized school test score and were analyzed for the association between maternal thyroid hormone levels and child's school performance, and no support for an association was found. The association between thyroid hormone levels and child's risk of ADHD and ASD were analyzed for the 17,909 dyads and with no support for an association between thyroid hormone levels and these neurodevelopmental disorders. Stratification by preexisting maternal thyroid disorders did not affect the results., Conclusions: We found no evidence for associations between first trimester maternal thyroid hormone levels and child's school performance, or risk of ADHD or ASD., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)
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- 2024
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13. Toxicity in Older Patients with Cancer Receiving Immunotherapy: An Observational Study.
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Tran Van Hoi E, Trompet S, Van Holstein Y, Van Den Bos F, Van Heemst D, Codrington H, Labots G, Lohman S, Ozkan A, Portielje J, Mooijaart SP, De Glas NA, and Derks M
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- Humans, Aged, Male, Female, Aged, 80 and over, Frailty, Immune Checkpoint Inhibitors adverse effects, Hospitalization statistics & numerical data, Neoplasms drug therapy, Neoplasms therapy, Neoplasms immunology, Immunotherapy adverse effects
- Abstract
Background: Checkpoint inhibition has emerged as an effective treatment strategy for a variety of cancers, including in older adults. However, older patients with cancer represent a heterogenous group as they can vary widely in frailty, cognition, and physical status., Objective: This study aims to investigate the association between clinical frailty and immune-related treatment toxicity, hospitalization, and treatment discontinuation due to immune-related treatment toxicity in older patients treated with checkpoint inhibitors., Methods: Patients aged 70 years and older treated with checkpoint inhibitors were selected from the TENT study, IMAGINE study, and "Tolerability and safety of immunotherapy study". Clinical frailty was assessed by the Geriatric-8 test score and World Health Organization (WHO) status. Outcomes were grades 3-5 toxicity, hospitalization, and treatment discontinuation due to toxicity during treatment., Results: Of 99 patients included, 22% had comorbidities. While 33% of the patients were considered frail based on an abnormal Geriatric-8 test score of < 15, physical impairments were considered absent in 51% (WHO score of 0) and mild in 40% (WHO score of 1). Despite the limited sample size of the cohort, consistent trends were observed with patients with an abnormal Geriatric-8 test score of < 15 or a higher WHO score of 1 for having higher odds of toxicity [odds ratio (OR) 2.32 (95% CI 0.41-13.02); OR 1.33 (95% CI 0.45-4.17)], treatment discontinuation due to immune-related treatment toxicity [OR 2.25 (95% CI 0.61-8.31); OR 2.18 (95% CI 0.7-6.73)], and hospitalization due to immune-related treatment toxicity [OR 3.72 (95% CI 0.39-35.4); OR 1.31 (95% CI 0.35-4.9)]. Moreover, in a sub-analysis, we observed that the treatment discontinuation due to immune-related treatment toxicity occurred often in patients with grade 1-2 toxicity as well., Conclusions: Although not statistically significant, in older patients treated with immunotherapy in a real-life population with cancer, we observed consistent trends towards increased toxicity, hospitalization, and treatment discontinuation with increasing frailty. Larger studies are needed to confirm these exploratory results. Moreover, older patients with a lower toxicity grade 1-2 experienced early treatment discontinuation frequently, suggesting a lower tolerance of toxicity., (© 2024. The Author(s).)
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- 2024
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14. Sporadic cerebral small vessel disease and cognitive decline in healthy older adults: A systematic review and meta-analysis.
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Jansma A, de Bresser J, Schoones JW, van Heemst D, and Akintola AA
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- Humans, Aged, Magnetic Resonance Imaging, Executive Function physiology, Cerebral Small Vessel Diseases diagnostic imaging, Cerebral Small Vessel Diseases complications, Cognitive Dysfunction etiology
- Abstract
We performed a systematic review and meta-analysis on prospective studies that provided risk estimates for the impact of 3 different MRI markers of small vessel disease (SVD), namely white matter hyperintensities (WMH), cerebral microbleeds (CMB) and lacunes, on cognitive decline in relatively healthy older adults without cognitive deficits at baseline. A total of 23 prospective studies comprising 11,486 participants were included for analysis. Extracted data was pooled, reviewed and meta-analysed separately for global cognition, executive function, memory and attention. The pooled effect size for the association between cerebral SVD and cognitive decline was for global cognition -0.10 [-0.14; -0.05], for executive functioning -0.18 [-0.24; - 0.11], for memory -0.12 [-0.17; -0.07], and for attention -0.17 [-0.23; -0.11]. Results for the association of individual MRI markers of cerebral SVD were statistically significant for WMH and global cognition -0.15 [-0.24; -0.06], WMH and executive function -0.23 [-0.33; -0.13], WMH and memory -0.19 [-0.29; -0.09], WMH and attention -0.24 [-0.39; -0.08], CMB and executive function -0.07 [-0.13; -0.02], CMB and memory -0.11 [-0.21; -0.02] and CMB and attention -0.13 [-0.25; -0.02]. In conclusion, presence of MRI markers of cerebral SVD were found to predict an increased risk of cognitive decline in relatively healthy older adults. While WMH were found to significantly affect all cognitive domains, CMB influenced decline in executive functioning over time as well as (in some studies) decline in memory and attention., Competing Interests: Declaration of conflicting interestsAlexander Jansma: reports no disclosuresJeroen de Bresser:The research of Jeroen de Bresser is supported by Alzheimer Nederland under grant WE.03-2019-08.Diana van Heemst: reports no disclosuresAbimbola A. Akintola: reports no disclosuresJan W. Schoones: reports no disclosures
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- 2024
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15. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations.
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Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, Giri A, O'Connell JR, Bartz TM, de las Fuentes L, Gudmundsdottir V, Guo X, Harris SE, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer ND, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most PJ, Wang Y, Weiss S, Westerman KE, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja AD, Arzt M, Aschard H, Attia JR, Bazzanno L, Breyer MA, Brody JA, Cade BE, Chen HH, Ida Chen YD, Chen Z, de Vries PS, Dimitrov LM, Do A, Du J, Dupont CT, Edwards TL, Evans MK, Faquih T, Felix SB, Fisher-Hoch SP, Floyd JS, Graff M, Gu C, Gu D, Hairston KG, Hanley AJ, Heid IM, Heikkinen S, Highland HM, Hood MM, Kähönen M, Karvonen-Gutierrez CA, Kawaguchi T, Kazuya S, Kelly TN, Komulainen P, Levy D, Lin HJ, Liu PY, Marques-Vidal P, McCormick JB, Mei H, Meigs JB, Menni C, Nam K, Nolte IM, Pacheco NL, Petty LE, Polikowsky HG, Province MA, Psaty BM, Raffield LM, Raitakari OT, Rich SS, Riha RL, Risch L, Risch M, Ruiz-Narvaez EA, Scott RJ, Sitlani CM, Smith JA, Sofer T, Teder-Laving M, Völker U, Vollenweider P, Wang G, van Dijk KW, Wilson OD, Xia R, Yao J, Young KL, Zhang R, Zhu X, Below JE, Böger CA, Conen D, Cox SR, Dörr M, Feitosa MF, Fox ER, Franceschini N, Gharib SA, Gudnason V, Harlow SD, He J, Holliday EG, Kutalik Z, Lakka TA, Lawlor DA, Lee S, Lehtimäki T, Li C, Liu CT, Mägi R, Matsuda F, Morrison AC, Penninx BW, Peyser PA, Rotter JI, Snieder H, Spector TD, Wagenknecht LE, Wareham NJ, Zonderman AB, North KE, Fornage M, Hung AM, Manning AK, Gauderman J, Chen H, Munroe PB, Rao DC, van Heemst D, Redline S, Noordam R, and Wang H
- Abstract
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to genes involved in neurological, thyroidal, bone metabolism, and hematopoietic pathways. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausibility of distinct influences of both sleep duration extremes in cardiovascular health. With several of our loci reflecting specificity towards population background or sex, our discovery sheds light on the importance of embracing granularity when addressing heterogeneity entangled in gene-environment interactions, and in therapeutic design approaches for blood pressure management., Competing Interests: Conflict of Interest/Disclosures: C.L.M. has received funding from AstraZeneca not related to the current study. B.M.P. serves on the steering committee of the Yale Open Data Access Project funded by Johnson & Johnson. D.C. receives consultancy fees from Roche Diagnostics and Trimedics and speaker fees from Servier. D.A.L. has received support from Medtronic LTD and Roche Diagnostics for biomarker research not related to the current study. The remaining authors declare no competing interests.
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- 2024
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16. Incidence and Determinants of Spontaneous Normalization of Subclinical Hypothyroidism in Older Adults.
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van der Spoel E, van Vliet NA, Poortvliet RKE, Du Puy RS, den Elzen WPJ, Quinn TJ, Stott DJ, Sattar N, Kearney PM, Blum MR, Alwan H, Rodondi N, Collet TH, Westendorp RGJ, Ballieux BE, Jukema JW, Dekkers OM, Gussekloo J, Mooijaart SP, and van Heemst D
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- Humans, Female, Aged, Incidence, Thyroxine therapeutic use, Thyrotropin therapeutic use, Hypothyroidism drug therapy, Hypothyroidism epidemiology
- Abstract
Context: With age, the prevalence of subclinical hypothyroidism rises. However, incidence and determinants of spontaneous normalization remain largely unknown., Objective: To investigate incidence and determinants of spontaneous normalization of TSH levels in older adults with subclinical hypothyroidism., Design: Pooled data were used from the (1) pretrial population and (2) in-trial placebo group from 2 randomized, double-blind, placebo-controlled trials (Thyroid Hormone Replacement for Untreated Older Adults With Subclinical Hypothyroidism Trial and Institute for Evidence-Based Medicine in Old Age thyroid 80-plus thyroid trial)., Setting: Community-dwelling 65+ adults with subclinical hypothyroidism from the Netherlands, Switzerland, Ireland, and the United Kingdom., Participants: The pretrial population (N = 2335) consisted of older adults with biochemical subclinical hypothyroidism, defined as ≥1 elevated TSH measurement (≥4.60 mIU/L) and a free T4 within the laboratory-specific reference range. Individuals with persistent subclinical hypothyroidism, defined as ≥2 elevated TSH measurements ≥3 months apart, were randomized to levothyroxine/placebo, of which the in-trial placebo group (N = 361) was included., Main Outcome Measures: Incidence of spontaneous normalization of TSH levels and associations between participant characteristics and normalization., Results: In the pretrial phase, TSH levels normalized in 60.8% of participants in a median follow-up of 1 year. In the in-trial phase, levels normalized in 39.9% of participants after 1 year of follow-up. Younger age, female sex, lower initial TSH level, higher initial free T4 level, absence of thyroid peroxidase antibodies, and a follow-up measurement in summer were independent determinants for normalization., Conclusion: Because TSH levels spontaneously normalized in a large proportion of older adults with subclinical hypothyroidism (also after confirmation by repeat measurement), a third measurement may be recommended before considering treatment., Trial Registration: ClinicalTrials.gov, NCT01660126 and Netherlands Trial Register, NTR3851., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society.)
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- 2024
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17. Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications.
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Sterenborg RBTM, Steinbrenner I, Li Y, Bujnis MN, Naito T, Marouli E, Galesloot TE, Babajide O, Andreasen L, Astrup A, Åsvold BO, Bandinelli S, Beekman M, Beilby JP, Bork-Jensen J, Boutin T, Brody JA, Brown SJ, Brumpton B, Campbell PJ, Cappola AR, Ceresini G, Chaker L, Chasman DI, Concas MP, Coutinho de Almeida R, Cross SM, Cucca F, Deary IJ, Kjaergaard AD, Echouffo Tcheugui JB, Ellervik C, Eriksson JG, Ferrucci L, Freudenberg J, Fuchsberger C, Gieger C, Giulianini F, Gögele M, Graham SE, Grarup N, Gunjača I, Hansen T, Harding BN, Harris SE, Haunsø S, Hayward C, Hui J, Ittermann T, Jukema JW, Kajantie E, Kanters JK, Kårhus LL, Kiemeney LALM, Kloppenburg M, Kühnel B, Lahti J, Langenberg C, Lapauw B, Leese G, Li S, Liewald DCM, Linneberg A, Lominchar JVT, Luan J, Martin NG, Matana A, Meima ME, Meitinger T, Meulenbelt I, Mitchell BD, Møllehave LT, Mora S, Naitza S, Nauck M, Netea-Maier RT, Noordam R, Nursyifa C, Okada Y, Onano S, Papadopoulou A, Palmer CNA, Pattaro C, Pedersen O, Peters A, Pietzner M, Polašek O, Pramstaller PP, Psaty BM, Punda A, Ray D, Redmond P, Richards JB, Ridker PM, Russ TC, Ryan KA, Olesen MS, Schultheiss UT, Selvin E, Siddiqui MK, Sidore C, Slagboom PE, Sørensen TIA, Soto-Pedre E, Spector TD, Spedicati B, Srinivasan S, Starr JM, Stott DJ, Tanaka T, Torlak V, Trompet S, Tuhkanen J, Uitterlinden AG, van den Akker EB, van den Eynde T, van der Klauw MM, van Heemst D, Verroken C, Visser WE, Vojinovic D, Völzke H, Waldenberger M, Walsh JP, Wareham NJ, Weiss S, Willer CJ, Wilson SG, Wolffenbuttel BHR, Wouters HJCM, Wright MJ, Yang Q, Zemunik T, Zhou W, Zhu G, Zöllner S, Smit JWA, Peeters RP, Köttgen A, Teumer A, and Medici M
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- Humans, Genome-Wide Association Study, Triiodothyronine metabolism, Thyrotropin metabolism, Thyroid Gland metabolism, Thyroxine metabolism
- Abstract
To date only a fraction of the genetic footprint of thyroid function has been clarified. We report a genome-wide association study meta-analysis of thyroid function in up to 271,040 individuals of European ancestry, including reference range thyrotropin (TSH), free thyroxine (FT4), free and total triiodothyronine (T3), proxies for metabolism (T3/FT4 ratio) as well as dichotomized high and low TSH levels. We revealed 259 independent significant associations for TSH (61% novel), 85 for FT4 (67% novel), and 62 novel signals for the T3 related traits. The loci explained 14.1%, 6.0%, 9.5% and 1.1% of the total variation in TSH, FT4, total T3 and free T3 concentrations, respectively. Genetic correlations indicate that TSH associated loci reflect the thyroid function determined by free T3, whereas the FT4 associations represent the thyroid hormone metabolism. Polygenic risk score and Mendelian randomization analyses showed the effects of genetically determined variation in thyroid function on various clinical outcomes, including cardiovascular risk factors and diseases, autoimmune diseases, and cancer. In conclusion, our results improve the understanding of thyroid hormone physiology and highlight the pleiotropic effects of thyroid function on various diseases., (© 2024. The Author(s).)
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- 2024
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18. The ageing thyroid: implications for longevity and patient care.
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van Heemst D
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- Middle Aged, Humans, Aged, 80 and over, Aged, Thyroid Hormones therapeutic use, Thyrotropin, Patient Care, Thyroxine therapeutic use, Longevity, Hypothyroidism drug therapy
- Abstract
Thyroid hormones have vital roles in development, growth and energy metabolism. Within the past two decades, disturbances in thyroid hormone action have been implicated in ageing and the development of age-related diseases. This Review will consider results from biomedical studies that have identified the importance of precise temporospatial regulation of thyroid hormone action for local tissue maintenance and repair. Age-related disturbances in the maintenance of tissue homeostasis are thought to be important drivers of age-related disease. In most iodine-proficient human populations without thyroid disease, the mean, median and 97.5 centile for circulating concentrations of thyroid-stimulating hormone are progressively higher in adults over 80 years of age compared with middle-aged (50-59 years) and younger (20-29 years) adults. This trend has been shown to extend into advanced ages (over 100 years). Here, potential causes and consequences of the altered thyroid status observed in old age and its association with longevity will be discussed. In about 5-20% of adults at least 65 years of age, thyroid-stimulating hormone concentrations are elevated but circulating concentrations of thyroid hormone are within the population reference range, a condition referred to as subclinical hypothyroidism. Results from randomized clinical trials that have tested the clinical benefit of thyroid hormone replacement therapy in older adults with mild subclinical hypothyroidism will be discussed, as well as the implications of these findings for screening and treatment of subclinical hypothyroidism in older adults., (© 2023. Springer Nature Limited.)
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- 2024
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19. Association of Biological Age with Tumor Microenvironment in Patients with Esophageal Adenocarcinoma.
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Ravensbergen C, van Holstein Y, Hagenaars S, Crobach S, Trompet S, Portielje J, de Glas N, van Heemst D, van den Bos F, Tollenaar R, Mesker W, Mooijaart S, and Slingerland M
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- Humans, Aged, Tumor Microenvironment, Frail Elderly, Geriatric Assessment methods, Aging, Frailty diagnosis, Adenocarcinoma, Esophageal Neoplasms
- Abstract
Introduction: Esophageal cancer is the seventh most common cancer worldwide and typically tends to manifest at an older age. Marked heterogeneity in time-dependent functional decline in older adults results in varying grades of clinically manifest patient fitness or frailty. The biological age-related adaptations that accompany functional decline have been shown to modulate the non-malignant cells comprising the tumor microenvironment (TME). In the current work, we studied the association between biological age and TME characteristics in patients with esophageal adenocarcinoma., Methods: We comparatively assessed intratumoral histologic stroma quantity, tumor immune cell infiltrate, and blood leukocyte and thrombocyte count in 72 patients stratified over 3 strata of biological age (younger <70 years, fit older ≥70 years, and frail older adults ≥70 years), as defined by a geriatric assessment., Results: Frailty in older adults was predictive of decreased intratumoral stroma quantity (B = -14.66% stroma, p = 0.022) relative to tumors in chronological-age-matched fit older adults. Moreover, in comparison to younger adults, frail older adults (p = 0.032), but not fit older adults (p = 0.302), demonstrated a lower blood thrombocyte count at the time of diagnosis. Lastly, we found an increased proportion of tumors with a histologic desert TME histotype, comprising low stroma quantity and low immune cell infiltration, in frail older adults., Conclusion: Our results illustrate the stromal-reprogramming effects of biological age and provide a biological underpinning for the clinical relevance of assessing frailty in patients with esophageal adenocarcinoma, further justifying the need for standardized geriatric assessment in geriatric cancer patients., (© 2024 The Author(s). Published by S. Karger AG, Basel.)
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- 2024
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