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El Sharkawy M, Felix JF, Grote V, Voortman T, Jaddoe VWV, Koletzko B, Küpers LK. Animal and plant protein intake during infancy and childhood DNA methylation: a meta-analysis in the NutriPROGRAM consortium. Epigenetics 2024; 19:2299045. [PMID: 38198623 PMCID: PMC10793674 DOI: 10.1080/15592294.2023.2299045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 12/19/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Higher early-life animal protein intake is associated with a higher childhood obesity risk compared to plant protein intake. Differential DNA methylation may represent an underlying mechanism. METHODS We analysed associations of infant animal and plant protein intakes with DNA methylation in early (2-6 years, N = 579) and late (7̄-12 years, N = 604) childhood in two studies. Study-specific robust linear regression models adjusted for relevant confounders were run, and then meta-analysed using a fixed-effects model. We also performed sex-stratified meta-analyses. Follow-up analyses included pathway analysis and eQTM look-up. RESULTS Infant animal protein intake was not associated with DNA methylation in early childhood, but was associated with late-childhood DNA methylation at cg21300373 (P = 4.27 × 10¯8, MARCHF1) and cg10633363 (P = 1.09 × 10¯7, HOXB9) after FDR correction. Infant plant protein intake was associated with early-childhood DNA methylation at cg25973293 (P = 2.26 × 10-7, C1orf159) and cg15407373 (P = 2.13 × 10-7, MBP) after FDR correction. There was no overlap between the findings from the animal and plant protein analyses. We did not find enriched functional pathways at either time point using CpGs associated with animal and plant protein. These CpGs were not previously associated with childhood gene expression. Sex-stratified meta-analyses showed sex-specific DNA methylation associations for both animal and plant protein intake. CONCLUSION Infant animal protein intake was associated with DNA methylation at two CpGs in late childhood. Infant plant protein intake was associated with DNA methylation in early childhood at two CpGs. A potential mediating role of DNA methylation at these CpGs between infant protein intake and health outcomes requires further investigation.
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Affiliation(s)
- Mohammed El Sharkawy
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. Von Hauner Children’s Hospital, LMU University Hospital Munich, Munich, Germany
- Munich Medical Research School, Faculty of Medicine, LMU - Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Janine F. Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. Von Hauner Children’s Hospital, LMU University Hospital Munich, Munich, Germany
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. Von Hauner Children’s Hospital, LMU University Hospital Munich, Munich, Germany
| | - Leanne K. Küpers
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Bui H, Keshawarz A, Wang M, Lee M, Ratliff SM, Lin L, Birditt KS, Faul JD, Peters A, Gieger C, Delerue T, Kardia SLR, Zhao W, Guo X, Yao J, Rotter JI, Li Y, Liu X, Liu D, Tavares JF, Pehlivan G, Breteler MMB, Karabegovic I, Ochoa-Rosales C, Voortman T, Ghanbari M, van Meurs JBJ, Nasr MK, Dörr M, Grabe HJ, London SJ, Teumer A, Waldenberger M, Weir DR, Smith JA, Levy D, Ma J, Liu C. Association analysis between an epigenetic alcohol risk score and blood pressure. medRxiv 2024:2024.02.29.24303545. [PMID: 38464320 PMCID: PMC10925472 DOI: 10.1101/2024.02.29.24303545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background Epigenome-wide association studies have revealed multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. Results We generated an alcohol consumption epigenetic risk score (ERS) based on previously reported 144 alcohol-associated CpGs and examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. We found an association of alcohol intake with the ERS in the meta-analysis with 0.09 units higher ERS per drink consumed per day ( p < 0.0001). Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP ( p = 4.64E-07), 0.68 mm Hg higher DBP ( p = 0.006), and an odds ratio of 1.78 for HTN ( p < 2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n = 11,544) showed similar relationships with blood pressure levels, i.e., a one-unit increase in ERS was associated with 0.74 ( p = 0.002) and 0.50 ( p = 0.0006) mm Hg higher SBP and DBP, but could not confirm the association with hypertension. Longitudinal analyses in FHS (n = 3,260) and five independent external cohorts (n = 4,021) showed that the baseline ERS was not associated with a change in blood pressure over time or with incident HTN. Conclusions Our findings provide proof-of-concept that utilizing an ERS is a useful approach to capture the recent health consequences of lifestyle behaviors such as alcohol consumption.
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Benz E, Pinel A, Guillet C, Capel F, Pereira B, De Antonio M, Pouget M, Cruz-Jentoft AJ, Eglseer D, Topinkova E, Barazzoni R, Rivadeneira F, Ikram MA, Steur M, Voortman T, Schoufour JD, Weijs PJM, Boirie Y. Sarcopenia and Sarcopenic Obesity and Mortality Among Older People. JAMA Netw Open 2024; 7:e243604. [PMID: 38526491 DOI: 10.1001/jamanetworkopen.2024.3604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/26/2024] Open
Abstract
Importance Sarcopenia and obesity are 2 global concerns associated with adverse health outcomes in older people. Evidence on the population-based prevalence of the combination of sarcopenia with obesity (sarcopenic obesity [SO]) and its association with mortality are still limited. Objective To investigate the prevalence of sarcopenia and SO and their association with all-cause mortality. Design, Setting, and Participants This large-scale, population-based cohort study assessed participants from the Rotterdam Study from March 1, 2009, to June 1, 2014. Associations of sarcopenia and SO with all-cause mortality were studied using Kaplan-Meier curves, Cox proportional hazards regression, and accelerated failure time models fitted for sex, age, and body mass index (BMI). Data analysis was performed from January 1 to April 1, 2023. Exposures The prevalence of sarcopenia and SO, measured based on handgrip strength and body composition (BC) (dual-energy x-ray absorptiometry) as recommended by current consensus criteria, with probable sarcopenia defined as having low handgrip strength and confirmed sarcopenia and SO defined as altered BC (high fat percentage and/or low appendicular skeletal muscle index) in addition to low handgrip strength. Main Outcome and Measure The primary outcome was all-cause mortality, collected using linked mortality data from general practitioners and the central municipal records, until October 2022. Results In the total population of 5888 participants (mean [SD] age, 69.5 [9.1] years; mean [SD] BMI, 27.5 [4.3]; 3343 [56.8%] female), 653 (11.1%; 95% CI, 10.3%-11.9%) had probable sarcopenia and 127 (2.2%; 95% CI, 1.8%-2.6%) had confirmed sarcopenia. Sarcopenic obesity with 1 altered component of BC was present in 295 participants (5.0%; 95% CI, 4.4%-5.6%) and with 2 altered components in 44 participants (0.8%; 95% CI, 0.6%-1.0%). An increased risk of all-cause mortality was observed in participants with probable sarcopenia (hazard ratio [HR], 1.29; 95% CI, 1.14-1.47) and confirmed sarcopenia (HR, 1.93; 95% CI, 1.53-2.43). Participants with SO plus 1 altered component of BC (HR, 1.94; 95% CI, 1.60-2.33]) or 2 altered components of BC (HR, 2.84; 95% CI, 1.97-4.11) had a higher risk of mortality than those without SO. Similar results for SO were obtained for participants with a BMI of 27 or greater. Conclusions and Relevance In this study, sarcopenia and SO were found to be prevalent phenotypes in older people and were associated with all-cause mortality. Additional alterations of BC amplified this risk independently of age, sex, and BMI. The use of low muscle strength as a first step of both diagnoses may allow for early identification of individuals at risk for premature mortality.
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Affiliation(s)
- Elizabeth Benz
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Alexandre Pinel
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
| | - Christelle Guillet
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
| | - Frederic Capel
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
| | - Bruno Pereira
- Unit of Biostatistics, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Marie De Antonio
- Unit of Biostatistics, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Melanie Pouget
- Department of Clinical Nutrition, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | | | - Doris Eglseer
- Institute of Nursing Science, Medical University of Graz, Graz, Austria
| | - Eva Topinkova
- Department of Geriatrics, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Rocco Barazzoni
- Department of Medical, Technological and Translational Sciences, University of Trieste, Ospedale di Cattinara, Trieste, Italy
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marinka Steur
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Josje D Schoufour
- Faculty of Sports and Nutrition, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
| | - Peter J M Weijs
- Faculty of Sports and Nutrition, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
- Department of Nutrition and Dietetics, Amsterdam University Medical Centers, Amsterdam Public Health Institute, Vrije Universiteit, Amsterdam, the Netherlands
| | - Yves Boirie
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
- Department of Clinical Nutrition, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
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van Westing AC, Heerkens L, Cruijsen E, Voortman T, Geleijnse JM. Diet quality in relation to kidney function and its potential interaction with genetic risk of kidney disease among Dutch post-myocardial infarction patients. Eur J Nutr 2024:10.1007/s00394-024-03355-5. [PMID: 38430449 DOI: 10.1007/s00394-024-03355-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 02/13/2024] [Indexed: 03/03/2024]
Abstract
PURPOSE We examined the relation between diet quality, its components and kidney function decline in post-myocardial infarction (MI) patients, and we explored differences by genetic risk of chronic kidney disease (CKD). METHODS We analysed 2169 patients from the Alpha Omega Cohort (aged 60-80 years, 81% male). Dietary intake was assessed at baseline (2002-2006) using a validated food-frequency questionnaire and diet quality was defined using the Dutch Healthy Diet Cardiovascular Disease (DHD-CVD) index. We calculated 40-months change in estimated glomerular filtration rate (eGFR, mL/min per 1.73m2). We constructed a weighted genetic risk score (GRS) for CKD using 88 single nucleotide polymorphisms previously linked to CKD. Betas with 95%-confidence intervals (CIs) were obtained using multivariable linear regression models for the association between DHD-CVD index and its components and eGFR change, by GRS. RESULTS The average DHD-CVD index was 79 (SD 15) points and annual eGFR decline was 1.71 (SD 3.86) mL/min per 1.73 m2. The DHD-CVD index was not associated with annual eGFR change (per 1-SD increment in adherence score: -0.09 [95% CI -0.26,0.08]). Results for adherence to guidelines for red meat showed less annual eGFR decline (per 1-SD: 0.21 [0.04,0.38]), whereas more annual eGFR decline was found for legumes and dairy (per 1-SD: -0.20legumes [-0.37,-0.04] and - 0.18dairy [-0.34,-0.01]). Generally similar results were obtained in strata of GRS. CONCLUSION The DHD-CVD index for overall adherence to Dutch dietary guidelines for CVD patients was not associated with kidney function decline after MI, irrespective of genetic CKD risk. The preferred dietary pattern for CKD prevention in CVD patients warrants further research.
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Affiliation(s)
- Anniek C van Westing
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Esther Cruijsen
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.
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5
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Guirette M, Lan J, McKeown NM, Brown MR, Chen H, de Vries PS, Kim H, Rebholz CM, Morrison AC, Bartz TM, Fretts AM, Guo X, Lemaitre RN, Liu CT, Noordam R, de Mutsert R, Rosendaal FR, Wang CA, Beilin LJ, Mori TA, Oddy WH, Pennell CE, Chai JF, Whitton C, van Dam RM, Liu J, Tai ES, Sim X, Neuhouser ML, Kooperberg C, Tinker LF, Franceschini N, Huan T, Winkler TW, Bentley AR, Gauderman WJ, Heerkens L, Tanaka T, van Rooij J, Munroe PB, Warren HR, Voortman T, Chen H, Rao DC, Levy D, Ma J. Genome-Wide Interaction Analysis With DASH Diet Score Identified Novel Loci for Systolic Blood Pressure. Hypertension 2024; 81:552-560. [PMID: 38226488 PMCID: PMC10922535 DOI: 10.1161/hypertensionaha.123.22334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 12/28/2023] [Indexed: 01/17/2024]
Abstract
BACKGROUND The Dietary Approaches to Stop Hypertension (DASH) diet score lowers blood pressure (BP). We examined interactions between genotype and the DASH diet score in relation to systolic BP. METHODS We analyzed up to 9 420 585 single nucleotide polymorphisms in up to 127 282 individuals of 6 population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (n=35 660) and UK Biobank (n=91 622) and performed European population-specific and cross-population meta-analyses. RESULTS We identified 3 loci in European-specific analyses and an additional 4 loci in cross-population analyses at Pinteraction<5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency, 0.03) and the DASH diet score (Pinteraction=4e-8; P for heterogeneity, 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (Pinteraction=9.4e-7) and 0.20±0.06 mm Hg (Pinteraction=0.001) in Cohorts for Heart and Aging Research in Genomic Epidemiology and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with cis-expression quantitative trait loci (eQTL) variants (P=4e-273) and cis-DNA methylation quantitative trait loci variants (P=1e-300). Although the closest gene for rs117878928 is MTHFS, the highest narrow sense heritability accounted by single nucleotide polymorphisms potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1. CONCLUSIONS We demonstrated gene-DASH diet score interaction effects on systolic BP in several loci. Studies with larger diverse populations are needed to validate our findings.
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Affiliation(s)
- Mélanie Guirette
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.)
| | - Jessie Lan
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.)
| | - Nicola M McKeown
- Programs of Nutrition, Department of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, MA (N.M.M.)
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Hyunju Kim
- Department of Epidemiology (H.K., A.M.F.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (C.M.R.)
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Traci M Bartz
- Departments of Biostatistics and Medicine (T.M.B.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Amanda M Fretts
- Department of Epidemiology (H.K., A.M.F.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Xiuqing Guo
- The Lundquist Institute at Harbor-University of California, Los Angeles, Torrance, CA (X.G.)
| | - Rozenn N Lemaitre
- Department of Medicine (R.N.L.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, MA (C.-T.L.)
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics (R.N.), Leiden University Medical Center, the Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology (R.d.M., F.R.R.), Leiden University Medical Center, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology (R.d.M., F.R.R.), Leiden University Medical Center, the Netherlands
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, NSW, Australia (C.A.W., C.E.P)
- Mothers' and Babies' Research Program, Hunter Medical Research Institute, NSW, Australia (C.A.W., C.E.P.)
| | - Lawrence J Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley (L.J.B., T.A.M.)
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley (L.J.B., T.A.M.)
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (W.H.O.)
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, NSW, Australia (C.A.W., C.E.P)
- Mothers' and Babies' Research Program, Hunter Medical Research Institute, NSW, Australia (C.A.W., C.E.P.)
| | - Jin Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
| | - Clare Whitton
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
- School of Population Health, Curtin University, Perth, Western Australia, Australia (C.W.)
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University (R.M.v.D.)
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research (J.L.)
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore (E.S.T.)
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (M.L.N., C.K., L.F.T.)
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (M.L.N., C.K., L.F.T.)
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (M.L.N., C.K., L.F.T.)
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (N.F.)
| | - TianXiao Huan
- Framingham Heart Study and Population Sciences Branch, National Heart, Lung, and Blood Institute, MA (T.H., D.L.)
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Germany (T.W.W.)
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD (A.R.B.)
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California (W.J.G.)
| | - Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University & Research, the Netherlands (L.H.)
| | - Toshiko Tanaka
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD (T.T.)
| | - Jeroen van Rooij
- Department of Internal Medicine (J.v.R.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Patricia B Munroe
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.B.M., H.R.W.)
| | - Helen R Warren
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.B.M., H.R.W.)
| | - Trudy Voortman
- Department of Epidemiology (T.V.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Honglei Chen
- Department of Epidemiology and Biostatistics College of Human Medicine, Michigan State University, East Lansing (H.C.)
| | - D C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R.)
| | - Daniel Levy
- Framingham Heart Study and Population Sciences Branch, National Heart, Lung, and Blood Institute, MA (T.H., D.L.)
| | - Jiantao Ma
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.)
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6
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Ikram MA, Kieboom BCT, Brouwer WP, Brusselle G, Chaker L, Ghanbari M, Goedegebure A, Ikram MK, Kavousi M, de Knegt RJ, Luik AI, van Meurs J, Pardo LM, Rivadeneira F, van Rooij FJA, Vernooij MW, Voortman T, Terzikhan N. The Rotterdam Study. Design update and major findings between 2020 and 2024. Eur J Epidemiol 2024; 39:183-206. [PMID: 38324224 DOI: 10.1007/s10654-023-01094-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 12/14/2023] [Indexed: 02/08/2024]
Abstract
The Rotterdam Study is a population-based cohort study, started in 1990 in the district of Ommoord in the city of Rotterdam, the Netherlands, with the aim to describe the prevalence and incidence, unravel the etiology, and identify targets for prediction, prevention or intervention of multifactorial diseases in mid-life and elderly. The study currently includes 17,931 participants (overall response rate 65%), aged 40 years and over, who are examined in-person every 3 to 5 years in a dedicated research facility, and who are followed-up continuously through automated linkage with health care providers, both regionally and nationally. Research within the Rotterdam Study is carried out along two axes. First, research lines are oriented around diseases and clinical conditions, which are reflective of medical specializations. Second, cross-cutting research lines transverse these clinical demarcations allowing for inter- and multidisciplinary research. These research lines generally reflect subdomains within epidemiology. This paper describes recent methodological updates and main findings from each of these research lines. Also, future perspective for coming years highlighted.
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Affiliation(s)
- M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands.
| | - Brenda C T Kieboom
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Willem Pieter Brouwer
- Department of Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Guy Brusselle
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
- Department of Pulmonology, University Hospital Ghent, Ghent, Belgium
| | - Layal Chaker
- Department of Epidemiology, and Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - André Goedegebure
- Department of Otorhinolaryngology and Head & Neck Surgery, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, and Department of Neurology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Rob J de Knegt
- Department of Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Luba M Pardo
- Department of Dermatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Fernando Rivadeneira
- Department of Medicine, and Department of Oral & Maxillofacial Surgery, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, and Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
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Cao Y, Zhu G, Feng C, Chen J, Gan W, Ma Y, Hu Y, Dhana K, Voortman T, Shen J, Li T, Zheng Y, Yuan C, Zong G. Cardiovascular risk burden, dementia risk and brain structural imaging markers: a study from UK Biobank. Gen Psychiatr 2024; 37:e101209. [PMID: 38292861 PMCID: PMC10826560 DOI: 10.1136/gpsych-2023-101209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 12/11/2023] [Indexed: 02/01/2024] Open
Abstract
Background Cardiovascular risk burden is associated with dementia risk and neurodegeneration-related brain structure, while the role of genetics and incident cardiovascular disease (CVD) remains unclear. Aims To examine the association of overall cardiovascular risk burden with the risk of major dementia subtypes and volumes of related brain regions in a large sample, and to explore the role of genetics and CVD onset. Methods A prospective study among 354 654 participants free of CVD and dementia (2006-2010, mean age 56.4 years) was conducted within the UK Biobank, with brain magnetic resonance imaging (MRI) measurement available for 15 104 participants since 2014. CVD risk burden was evaluated by the Framingham General Cardiovascular Risk Score (FGCRS). Dementia diagnosis was ascertained from inpatient and death register data. Results Over a median 12.0-year follow-up, 3998 all-cause dementia cases were identified. Higher FGCRS was associated with increased all-cause dementia risk after adjusting for demographic, major lifestyle, clinical factors and the polygenic risk score (PRS) of Alzheimer's disease. Comparing the high versus low tertile of FGCRS, the odds ratios (ORs) and 95% confidence intervals (CIs) were 1.26 (1.12 to 1.41) for all-cause dementia, 1.67 (1.33 to 2.09) for Alzheimer's disease and 1.53 (1.07 to 2.16) for vascular dementia (all ptrend<0.05). Incident stroke and coronary heart disease accounted for 14% (95% CI: 9% to 21%) of the association between FGCRS and all-cause dementia. Interactions were not detected for FGCRS and PRS on the risk of any dementia subtype. We observed an 83% (95% CI: 47% to 128%) higher all-cause dementia risk comparing the high-high versus low-low FGCRS-PRS category. For brain volumes, higher FGCRS was associated with greater log-transformed white matter hyperintensities, smaller cortical volume and smaller grey matter volume. Conclusions Our findings suggest that the positive association of cardiovascular risk burden with dementia risk also applies to major dementia subtypes. The association of cardiovascular risk burden with all-cause dementia is largely independent of CVD onset and genetic predisposition to dementia.
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Affiliation(s)
- Yaying Cao
- Department of Food Nutrition and Health, School of Medicine and Health, Harbin Institute of Technology, Harbin, Heilongjiang, China
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Gaohong Zhu
- Department of Nuclear Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chengwu Feng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Jing Chen
- Neurology Department, Zhongshan Hospital Affiliated with Fudan University, Shanghai, China
| | - Wei Gan
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
- Department of Genetics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Yuan Ma
- Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Klodian Dhana
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Jie Shen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ting Li
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Changzheng Yuan
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
- Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
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8
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de Crom TOE, Ghanbari M, Voortman T, Ikram MA. Body composition and plasma total-tau, neurofilament light chain, and amyloid-β: A population-based study. Alzheimers Dement (Amst) 2024; 16:e12519. [PMID: 38229659 PMCID: PMC10789925 DOI: 10.1002/dad2.12519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/08/2023] [Accepted: 12/11/2023] [Indexed: 01/18/2024]
Abstract
A higher body mass at older age has been linked to a lower risk of dementia. This unexpected trend may be explained by age-related lean mass depletion, or methodological issues such as the long preclinical phase of dementia or competing risks. Focusing on preclinical markers of dementia may overcome these issues. Between 2002 and 2005, body composition and plasma total-tau, neurofilament light chain (NfL), amyloid-β40, and amyloid-β42 were measured in 3408 dementia-free participants from the population-based Rotterdam Study. The cross-sectional associations between body composition and plasma markers were determined using linear regression models. Whole body and fat mass, but not lean mass, were positively associated with total-tau, while all these measures were inversely associated with NfL. Apart from an inverse association between lean mass and amyloid-β40, body composition measures were not associated with plasma amyloid-β. Our findings suggest distinct effects of body composition on neurodegeneration.
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Affiliation(s)
- Tosca O. E. de Crom
- Department of EpidemiologyErasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - Mohsen Ghanbari
- Department of EpidemiologyErasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - Trudy Voortman
- Department of EpidemiologyErasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus MCUniversity Medical CenterRotterdamthe Netherlands
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9
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Villoz F, Filippini T, Ortega N, Kopp-Heim D, Voortman T, Blum MR, Del Giovane C, Vinceti M, Rodondi N, Chocano-Bedoya PO. Dairy Intake and Risk of Cognitive Decline and Dementia: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies. Adv Nutr 2024; 15:100160. [PMID: 38043604 PMCID: PMC10788406 DOI: 10.1016/j.advnut.2023.100160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 11/20/2023] [Accepted: 11/27/2023] [Indexed: 12/05/2023] Open
Abstract
Dairy intake may influence cognition through several molecular pathways. However, epidemiologic studies yield inconsistent results, and no dose-response meta-analysis has been conducted yet. Therefore, we performed a systematic review with a dose-response meta-analysis about the association between dairy intake and cognitive decline or incidence of dementia. We investigated prospective studies with a follow-up ≥6 mo on cognitive decline or dementia incidence in adults without known chronic conditions through a systematic search of Embase, Medline, Cochrane Library, Web of Science, and Google Scholar from inception to 11 July 2023. We evaluated the dose-response association using a random-effects model. We identified 15 eligible cohort studies with >300,000 participants and a median follow-up of 11.4 y. We observed a negative nonlinear association between cognitive decline/dementia incidence and dairy intake as assessed through the quantity of consumption, with the nadir at ∼150 g/d (risk ratio: 0.88; 95% confidence interval: 0.78, 0.99). Conversely, we found an almost linear negative association when we considered the frequency of consumption (risk ratio for linear trend: 0.84; 95% confidence interval: 0.77, 0.92 for 1 time/d increase of dairy products). Stratified analysis by dairy products showed different shapes of the association with linear inverse relationship for milk intake, whereas possibly nonlinear for cheese. The inverse association was limited to Asian populations characterized by generally lower intake of dairy products, compared with the null association reported by European studies. In conclusion, our study suggests a nonlinear inverse association between dairy intake and cognitive decline or dementia, also depending on dairy types and population characteristics, although the heterogeneity was still high in overall and several subgroup analyses. Additional studies should be performed on this topic, including a wider range of intake and types of dairy products, to confirm a potential preventing role of dairy intake on cognitive decline and identify ideal intake doses. This review was registered at PROSPERO as CRD42020192395.
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Affiliation(s)
- Fanny Villoz
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Tommaso Filippini
- Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; School of Public Health, University of California Berkeley, Berkeley, CA, United States
| | - Natalia Ortega
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Population Health Laboratory, University of Fribourg, Fribourg, Switzerland
| | - Doris Kopp-Heim
- Public Health and Primary Care Library, University Library of Bern, University of Bern, Bern, Switzerland
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Manuel R Blum
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Cinzia Del Giovane
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Population Health Laboratory, University of Fribourg, Fribourg, Switzerland; Department of Medical and Surgical Sciences for Children and Adults, University-Hospital of Modena and Reggio Emilia, Modena, Italy
| | - Marco Vinceti
- Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Nicolas Rodondi
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Patricia O Chocano-Bedoya
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Population Health Laboratory, University of Fribourg, Fribourg, Switzerland.
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10
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O’Keefe JH, Tintle NL, Harris WS, O’Keefe EL, Sala-Vila A, Attia J, Garg GM, Hure A, Bork CS, Schmidt EB, Venø SK, Chien KL, Chen YY(A, Egert S, Feldreich TR, Ärnlöv J, Lind L, Forouhi NG, Geleijnse JM, Pertiwi K, Imamura F, de Mello Laaksonen V, Uusitupa WM, Tuomilehto J, Laakso M, Lankinen MA, Laurin D, Carmichael PH, Lindsay J, Leander K, Laguzzi F, Swenson BR, Longstreth WT, Manson JE, Mora S, Cook NR, Marklund M, van Lent DM, Murphy R, Gudnason V, Ninomiya T, Hirakawa Y, Qian F, Sun Q, Hu F, Ardisson Korat AV, Risérus U, Lázaro I, Samieri C, Le Goff M, Helmer C, Steur M, Voortman T, Ikram MK, Tanaka T, Das JK, Ferrucci L, Bandinelli S, Tsai M, Guan W, Garg P, Verschuren WMM, Boer JMA, Biokstra A, Virtanen J, Wagner M, Westra J, Albuisson L, Yamagishi K, Siscovick DS, Lemaitre RN, Mozaffarian D. Omega-3 Blood Levels and Stroke Risk: A Pooled and Harmonized Analysis of 183 291 Participants From 29 Prospective Studies. Stroke 2024; 55:50-58. [PMID: 38134264 PMCID: PMC10840378 DOI: 10.1161/strokeaha.123.044281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/30/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND The effect of marine omega-3 PUFAs on risk of stroke remains unclear. METHODS We investigated the associations between circulating and tissue omega-3 PUFA levels and incident stroke (total, ischemic, and hemorrhagic) in 29 international prospective cohorts. Each site conducted a de novo individual-level analysis using a prespecified analytical protocol with defined exposures, covariates, analytical methods, and outcomes; the harmonized data from the studies were then centrally pooled. Multivariable-adjusted HRs and 95% CIs across omega-3 PUFA quintiles were computed for each stroke outcome. RESULTS Among 183 291 study participants, there were 10 561 total strokes, 8220 ischemic strokes, and 1142 hemorrhagic strokes recorded over a median of 14.3 years follow-up. For eicosapentaenoic acid, comparing quintile 5 (Q5, highest) with quintile 1 (Q1, lowest), total stroke incidence was 17% lower (HR, 0.83 [CI, 0.76-0.91]; P<0.0001), and ischemic stroke was 18% lower (HR, 0.82 [CI, 0.74-0.91]; P<0.0001). For docosahexaenoic acid, comparing Q5 with Q1, there was a 12% lower incidence of total stroke (HR, 0.88 [CI, 0.81-0.96]; P=0.0001) and a 14% lower incidence of ischemic stroke (HR, 0.86 [CI, 0.78-0.95]; P=0.0001). Neither eicosapentaenoic acid nor docosahexaenoic acid was associated with a risk for hemorrhagic stroke. These associations were not modified by either baseline history of AF or prevalent CVD. CONCLUSIONS Higher omega-3 PUFA levels are associated with lower risks of total and ischemic stroke but have no association with hemorrhagic stroke.
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Affiliation(s)
- James H O’Keefe
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO
| | | | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, SD
- University of South Dakota, Sioux Falls, SD
| | - Evan L O’Keefe
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO
| | - Aleix Sala-Vila
- Fatty Acid Research Institute, Sioux Falls, SD
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - John Attia
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | - G Manohar Garg
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | - Alexis Hure
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | | | - Erik Berg Schmidt
- Aalborg University Hospital, Department of Clinical Medicine, Aalborg, Denmark
| | - Stine Krogh Venø
- Aalborg University Hospital, Department of Clinical Biochemistry, Aalborg, Denmark
| | - Kuo-Liong Chien
- National Taiwan University, Institute of Epidemiology and Preventive Medicine, Taipei Taiwan
| | - Yun-Yu (Amelia) Chen
- Taichung Veterans General Hospital, Department of Medical Research, Taichung, Taiwan
| | - Sarah Egert
- University of Bonn, Institute of Nutrition and Food Sciences and Nutritional Physiology, Bonn, Germany
| | | | - Johan Ärnlöv
- Karolinska Institutet, Division of Family Medicine and Primary Care, Department of Neurobiology Care Sciences & Society, Solna, Sweden
| | - Lars Lind
- Uppsala University, Department of Medical Sciences Cardiovascular Epidemiology, Uppsala, Sweden
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Johanna M Geleijnse
- Wageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands
| | - Kamalita Pertiwi
- Wageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Vanessa de Mello Laaksonen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - W Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Tuomilehto
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Markku Laakso
- University of Eastern Finland, School of Medicine, Department of Internal Medicine, Kuopio, Finland
| | - Maria Anneli Lankinen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Danielle Laurin
- CHU de Québec-Université Laval and VITAM Research Centers, Centre d’Excellence sur le Vieillissement de Québec, Québec, Canada
| | - Pierre-Hugues Carmichael
- CHU de Québec-Université Laval and VITAM Research Centers, Centre d’Excellence sur le Vieillissement de Québec, Québec, Canada
| | - Joan Lindsay
- University of Ottawa, School of Epidemiology and Public Health, Ottawa, Canada
| | - Karin Leander
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular and Nutritional Epidemiology, Stockholm, Sweden
| | - Federica Laguzzi
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular and Nutritional Epidemiology, Stockholm, Sweden
| | - Brenton R Swenson
- University of Washington, Cardiovascular Health Research Unit, Seattle, WA
| | - William T Longstreth
- University of Washington, Departments of Neurology and Epidemiology, Seattle, WA
| | - JoAnn E Manson
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Samia Mora
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Nancy R Cook
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Matti Marklund
- The George Institute for Global Health, University of New South Wales, Newtown, NSW Australia; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland: and Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Debora Melo van Lent
- University of Texas, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio, TX
| | - Rachel Murphy
- University of British Columbia, Cancer Control Research, British Columbia Cancer, School of Population and Public Health, Vancouver, Canada
| | | | - Toshihara Ninomiya
- Kyushu University, Department of Epidemiology and Public Health and Center for Cohort Studies, Fukouka, Japan
| | - Yoichiro Hirakawa
- Kyushu University, Department of Epidemiology and Public Health and Center for Cohort Studies, Fukouka, Japan
| | - Frank Qian
- Harvard Medical School, T.H. Chan School of Public Health and Beth Deaconess Medical Center, Boston, MA
| | - Qi Sun
- Harvard Medical School, T.H. Chan School of Public Health and Channing Division of Network Medicine Brigham and Women’s Hospital, Boston, MA
| | - Frank Hu
- Harvard Medical School, T.H. Chan School of Public Health and Channing Division of Network Medicine Brigham and Women’s Hospital, Boston, MA
| | | | - Ulf Risérus
- Uppsala University, Department of Public Health and Caring Sciences Clinical Nutrition and Metabolism Unit, Uppsala, Sweden
| | - Iolanda Lázaro
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Cecilia Samieri
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Mélanie Le Goff
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Catherine Helmer
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Marinka Steur
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - Trudy Voortman
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - M Kamran Ikram
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - Toshiko Tanaka
- National Institute of Health, National Institute on Aging, Longitudinal Studies Section, Baltimore, MD
| | | | - Luigi Ferrucci
- National Institute of Health, National Institute on Aging, Longitudinal Studies Section, Baltimore, MD
| | | | - Michael Tsai
- University of Minnesota, Department of Laboratory Medicine and Pathology, Minneapolis, MN
| | - Weihua Guan
- University of Minnesota, Division of Biostatistics, Minneapolis, MN
| | - Parveen Garg
- University of Southern California, Department of Medicine, Cardiology, Los Angeles, CA
| | - WM Monique Verschuren
- National Institute for Public Health and the Environment Bilthoven, The Netherlands, Julius Center for Health Sciences and Primary Care and Centre for Nutrition, Prevention and Health Services, Utrecht, The Netherlands
| | - Jolanda MA Boer
- National Institute for Public Health and the Environment Bilthoven, The Netherlands
| | - Anneke Biokstra
- National Institute for Public Health and the Environment Bilthoven, The Netherlands
| | - Jyrki Virtanen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Michael Wagner
- University Hospital, Depts of Neurodegenerative Diseases and Geriatric Psychiatry and German Center for Neurodegenerative Diseases, Bonn, Germany
| | | | | | - Kazumasa Yamagishi
- University of Tsukubu, Department of Public Health Medicine, Tsukuba, Japan
| | - David S Siscovick
- New York Academy of Medicine, Department of Epidemiology, New York, New York
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Keshawarz A, Joehanes R, Ma J, Lee GY, Costeira R, Tsai PC, Masachs OM, Bell JT, Wilson R, Thorand B, Winkelmann J, Peters A, Linseisen J, Waldenberger M, Lehtimäki T, Mishra PP, Kähönen M, Raitakari O, Helminen M, Wang CA, Melton PE, Huang RC, Pennell CE, O’Sullivan TA, Ochoa-Rosales C, Voortman T, van Meurs JB, Young KL, Graff M, Wang Y, Kiel DP, Smith CE, Jacques PF, Levy D. Dietary and supplemental intake of vitamins C and E is associated with altered DNA methylation in an epigenome-wide association study meta-analysis. Epigenetics 2023; 18:2211361. [PMID: 37233989 PMCID: PMC10228397 DOI: 10.1080/15592294.2023.2211361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 04/28/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Dietary intake of antioxidants such as vitamins C and E protect against oxidative stress, and may also be associated with altered DNA methylation patterns. METHODS We meta-analysed epigenome-wide association study (EWAS) results from 11,866 participants across eight population-based cohorts to evaluate the association between self-reported dietary and supplemental intake of vitamins C and E with DNA methylation. EWAS were adjusted for age, sex, BMI, caloric intake, blood cell type proportion, smoking status, alcohol consumption, and technical covariates. Significant results of the meta-analysis were subsequently evaluated in gene set enrichment analysis (GSEA) and expression quantitative trait methylation (eQTM) analysis. RESULTS In meta-analysis, methylation at 4,656 CpG sites was significantly associated with vitamin C intake at FDR ≤ 0.05. The most significant CpG sites associated with vitamin C (at FDR ≤ 0.01) were enriched for pathways associated with systems development and cell signalling in GSEA, and were associated with downstream expression of genes enriched in the immune response in eQTM analysis. Furthermore, methylation at 160 CpG sites was significantly associated with vitamin E intake at FDR ≤ 0.05, but GSEA and eQTM analysis of the top most significant CpG sites associated with vitamin E did not identify significant enrichment of any biological pathways investigated. CONCLUSIONS We identified significant associations of many CpG sites with vitamin C and E intake, and our results suggest that vitamin C intake may be associated with systems development and the immune response.
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Affiliation(s)
| | - Roby Joehanes
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Gha Young Lee
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
- Genomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Olatz M. Masachs
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Jordana T. Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Chair of Neurogenetics, School of Medicine, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Chair of Epidemiology, Medical Faculty, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, University Augsburg at University Hospital Augsburg, Augsburg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Pashupati P. Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Mika Kähönen
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Helminen
- Tays Research Services, Tampere University Hospital, Tampere, Finland
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
| | - Carol A. Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Phillip E. Melton
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Rae-Chi Huang
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia
| | - Craig E. Pennell
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | | | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Centro de Vida Saludable, Universidad de Concepción, Concepción, Chile
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Kristin L. Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Misa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Yujie Wang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Douglas P. Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Caren E. Smith
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Paul F. Jacques
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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12
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Vergroesen JE, Thee EF, de Crom TOE, Kiefte-de Jong JC, Meester-Smoor MA, Voortman T, Klaver CCW, Ramdas WD. The inflammatory potential of diet is associated with the risk of age-related eye diseases. Clin Nutr 2023; 42:2404-2413. [PMID: 37865012 DOI: 10.1016/j.clnu.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 09/26/2023] [Accepted: 10/09/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND & AIMS Inflammation is involved in the pathogenesis of cataract, age-related macular degeneration (AMD), and possibly open-angle glaucoma (OAG). We assessed whether the inflammatory potential of diet (quantified using the dietary inflammatory index; DII) affects the incidence of these common blinding age-related eye diseases. Serum inflammation markers were investigated as possible mediators. METHODS Participants aged >45 years were selected from the prospective, population-based Rotterdam Study. From 1991 onwards, every 4-5 years, participants underwent extensive eye examinations. At baseline, blood samples and dietary data (using food frequency questionnaires) were collected. The DII was adapted based on the data available. Of the 7436 participants free of eye diseases at baseline, 4036 developed incident eye diseases during follow-up (cataract = 2895, early-intermediate AMD = 891, late AMD = 81, OAG = 169). RESULTS The adapted DII (aDII) ranged from -4.26 (i.e., anti-inflammatory) to 4.53 (i.e., pro-inflammatory). A higher aDII was significantly associated with increased inflammation. A higher neutrophil-lymphocyte ratio (NLR) was associated with an increased risk of cataract and AMD. Additionally, complement component 3c (C3c) and systemic immune-inflammation index (SII) were associated with increased risks of cataract and late AMD, respectively. Every point increase in the aDII was associated with a 9% increased risk of cataract (Odds ratio [95% confidence interval]: 1.09 [1.04-1.14]). The NLR and C3c partly mediated this association. We also identified associations of the aDII with risk of AMD (early-intermediate AMD, OR [95% CI]: 1.11 [1.03-1.19]; late AMD, OR [95% CI]: 1.24 [1.02-1.53]). The NLR partly mediated these associations. The aDII was not associated with OAG. CONCLUSIONS A pro-inflammatory diet was associated with increased risks of cataract and AMD. Particularly the NLR, a marker of subclinical inflammation, appears to be implicated. These findings are relevant for patients with AMD and substantiate the current recommendations to strive for a healthy lifestyle to prevent blindness.
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Affiliation(s)
- Joëlle E Vergroesen
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Eric F Thee
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; EyeNED Reading Center, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Tosca O E de Crom
- Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Jessica C Kiefte-de Jong
- Department of Public Health and Primary Care/Health Campus The Hague, Leiden University Medical Centre, The Hague, The Netherlands.
| | - Magda A Meester-Smoor
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University & Research, P.O. Box 17 6700 AA Wageningen, the Netherlands.
| | - Caroline C W Klaver
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; EyeNED Reading Center, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Ophthalmology, Radboud University Medical Center, P.O. Box 9101, 6500 HB Nijmegen, the Netherlands; Institute of Molecular and Clinical Ophthalmology, University of Basel, CH-4031 Basel, Switzerland.
| | - Wishal D Ramdas
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
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13
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Guirette M, Lan J, McKeown N, Brown MR, Chen H, DE Vries PS, Kim H, Rebholz CM, Morrison AC, Bartz TM, Fretts AM, Guo X, Lemaitre RN, Liu CT, Noordam R, DE Mutsert R, Rosendaal FR, Wang CA, Beilin L, Mori TA, Oddy WH, Pennell CE, Chai JF, Whitton C, VAN Dam RM, Liu J, Tai ES, Sim X, Neuhouser ML, Kooperberg C, Tinker L, Franceschini N, Huan T, Winkler TW, Bentley AR, Gauderman WJ, Heerkens L, Tanaka T, van Rooij J, Munroe PB, Warren HR, Voortman T, Chen H, Rao DC, Levy D, Ma J. Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure. medRxiv 2023:2023.11.10.23298402. [PMID: 37986948 PMCID: PMC10659476 DOI: 10.1101/2023.11.10.23298402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Objective We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP). Methods We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses. Results We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (P for interaction = 9.4e-7) and 0.20±0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with cis-expression quantitative trait loci (eQTL) variants (P = 4e-273) and cis-DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is MTHFS, the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1. Conclusion We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.
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Affiliation(s)
- Mélanie Guirette
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Jessie Lan
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Nicola McKeown
- Programs of Nutrition, Department of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, USA
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul S DE Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hyunju Kim
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, USA
| | - Amanda M Fretts
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Xiuqing Guo
- The Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Renée DE Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, NSW, Australia
| | - Lawrence Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia Saw Swee Hock, School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, NSW, Australia
| | - Jin Fang Chai
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Clare Whitton
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Rob M VAN Dam
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - E Shyong Tai
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Xueling Sim
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Lesley Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Tianxiao Huan
- Framingham Heart Study and Population Sciences Branch, NHLBI, Framingham, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg; Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California; CA, USA
| | - Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Toshiko Tanaka
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA
| | - Jeroen van Rooij
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Patricia B Munroe
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Helen R Warren
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Honglei Chen
- Department of Epidemiology and Biostatistics College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - D C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel Levy
- Framingham Heart Study and Population Sciences Branch, NHLBI, Framingham, MA, USA
| | - Jiantao Ma
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
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14
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Çakici N, Grootendorst-van Mil NH, Roza SJ, Tiemeier H, de Haan L, Ikram MA, Voortman T, Luik AI, van Beveren NJM. Cross-sectional association between metabolic parameters and psychotic-like experiences in a population-based sample of middle-aged and elderly individuals. Schizophr Res 2023; 261:145-151. [PMID: 37757577 DOI: 10.1016/j.schres.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 07/14/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Metabolic alterations are often found in patients with clinical psychosis early in the course of the disorder. Psychotic-like experiences are observed in the general population, but it is unclear whether these are associated with markers of metabolism. METHODS A population-based cohort of 1890 individuals (mean age 58.0 years; 56.3% women) was included. Metabolic parameters were measured by body-mass index (BMI), concentrations of low-density and high-density lipoprotein cholesterol (LDL-C and HDL-C), total cholesterol, triglycerides, and fasting glucose and insulin in blood. Frequency and distress ratings of psychotic-like experiences from the positive symptom dimension of the Community Assessment of Psychic Experience questionnaire were assessed. Cross-sectional associations were analysed using linear regression analyses. RESULTS Higher BMI was associated with higher frequency of psychotic-like experiences (adjusted mean difference: 0.04, 95% CI 0.02-0.06) and more distress (adjusted mean difference: 0.02, 95% CI 0.01-0.03). Lower LDL-C was associated with more psychotic-like experiences (adjusted mean difference: -0.23, 95% CI -0.40 to -0.06). When restricting the sample to those not using lipid-lowering medication, the results of BMI and LDL-C remained and an association between lower HDL-C and higher frequency of psychotic-like experiences was found (adjusted mean difference: -0.37, 95% CI -0.69 to -0.05). We observed no significant associations between cholesterol, triglycerides, glucose, insulin or homeostatic model assessment and psychotic-like experiences. CONCLUSIONS In a population-based sample of middle-aged and elderly individuals, higher BMI and lower LDL-C were associated with psychotic-like experiences. This suggests that metabolic markers are associated with psychotic-like experiences across the vulnerability spectrum.
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Affiliation(s)
- Nuray Çakici
- Department of Psychiatry and Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands; Parnassia Academy, Parnassia Psychiatric Institute, Kiwistraat 43, 2552 DH The Hague, the Netherlands; Department of Psychiatry, Erasmus MC University Medical Center, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands
| | - Nina H Grootendorst-van Mil
- Department of Psychiatry, Erasmus MC University Medical Center, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands
| | - Sabine J Roza
- Department of Psychiatry, Erasmus MC University Medical Center, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands; Department of Social & Behavioral Sciences Harvard, T. H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, United States
| | - Lieuwe de Haan
- Department of Psychiatry and Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands; Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands.
| | - Nico J M van Beveren
- Parnassia Academy, Parnassia Psychiatric Institute, Kiwistraat 43, 2552 DH The Hague, the Netherlands; Department of Psychiatry, Erasmus MC University Medical Center, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands; Department of Neuroscience, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
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15
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Garg PK, Guan W, Nomura S, Weir NL, Tintle N, Virtanen JK, Hirakawa Y, Qian F, Sun Q, Rimm E, Lemaitre RN, Jensen PN, Heckbert SR, Imamura F, Steur M, Leander K, Laguzzi F, Voortman T, Ninomiya T, Mozaffarian D, Harris WS, Siscovick DS, Tsai MY. n-6 fatty acid biomarkers and incident atrial fibrillation: an individual participant-level pooled analysis of 11 international prospective studies. Am J Clin Nutr 2023; 118:921-929. [PMID: 37769813 DOI: 10.1016/j.ajcnut.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 09/02/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND The presence of atrial fibrillation (AF) is associated with an over 2-fold increased risk of stroke, heart failure, and cardiovascular mortality. Long chain n-6 PUFAs have been suggested to have a variety of beneficial biologic effects that may reduce AF development; however, prior studies evaluating this relationship are limited. OBJECTIVES We prospectively evaluated the association between circulating levels of linoleic acid (LA) and arachidonic acid (AA) with incident AF. METHODS We used participant-level data from a global consortium of 11 prospective cohort studies with measurements of LA and AA in adults (aged ≥18 y). Participating studies conducted de novo analyses using a prespecified analytical plan with harmonized definitions for exposures, outcomes, covariates, and subgroups. Associations were pooled using inverse-variance weighted meta-analysis. RESULTS Among 41,335 participants, 6173 incident cases of AF were ascertained, with median follow-up time of 14 y. In multivariable analysis, per interquintile range (difference between the 10th and 90th percentiles for each fatty acid), circulating n-6 levels were not associated with incident AF. For LA, the hazard ratio per interquintile range was 0.96 (95% confidence interval [CI]: 0.89, 1.04), and for AA, 1.02 (95% CI: 0.94, 1.10), with little evidence of heterogeneity between cohorts. Associations were similarly nonsignificant across subgroups of age, race, and biomarker fraction. CONCLUSIONS Biomarkers of n-6 fatty acids including LA and AA are not associated with incident AF. These findings suggest that overall effects of n-6 PUFAs on influencing AF development are neutral.
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Affiliation(s)
- Parveen K Garg
- Division of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, CA, United States
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN, United States
| | - Sarah Nomura
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
| | - Natalie L Weir
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
| | - Nathan Tintle
- Department of Population Health Sciences, College of Nursing, University of Illinois-Chicago, Chicago, IL, United States
| | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Eric Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Paul N Jensen
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Marinka Steur
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States; Division of Cardiology, Tufts Medical Center, Boston, MA, United States
| | - William S Harris
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, United States
| | | | - Michael Y Tsai
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States.
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16
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Heerkens L, van Westing AC, Voortman T, Kardys I, Boersma E, Geleijnse JM. Serum uric acid is related to liver and kidney disease and 12-year mortality risk after myocardial infarction. Front Endocrinol (Lausanne) 2023; 14:1240099. [PMID: 37886649 PMCID: PMC10599137 DOI: 10.3389/fendo.2023.1240099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/18/2023] [Indexed: 10/28/2023] Open
Abstract
Objective To study the associations of non-alcoholic fatty liver disease (NAFLD), chronic kidney disease (CKD), and serum uric acid (SUA) in patients with post-myocardial infarction (MI) patients, and the relationship of SUA with 12-year mortality risk. Methods We included 3,396 patients (60-80 years old, 78% men) of the Alpha Omega Cohort. Multivariable prevalence ratios (PRs) were obtained for the association of NAFLD [fatty liver index (FLI), ≥77 (women) and ≥79 (men)] with CKD [estimated glomerular filtration rate (eGFR), <60 mL/min per 1.73 m2]. We calculated sensitivity and specificity of SUA to detect the (combined) presence and absence of NAFLD and CKD. Cause-specific mortality was monitored from enrolment (2002-2006) through December 2018. Hazard ratios (HRs) for all-cause and cardiovascular disease (CVD) mortality in SUA categories were obtained from multivariable Cox models. Results Median baseline FLI was 67 (men, 68; women, 64), and mean ± SD eGFR was 81 ± 20 mL/min per 1.73 m2 (17% with CKD). Sex-specific FLI was associated with higher CKD prevalence (PRtertile3 vs. tertile1, 1.94; 95% confidence interval: 1.57, 2.39). Baseline SUA was 0.36 ± 0.09 mmol/L. With increasing SUA concentrations, specificity for the presence of NAFLD, CKD, or both increased, and sensitivity decreased. During 12 (interquartile range, 9-14) years of follow-up, 1,592 patients died (713 from CVD). HRs ranged from 1.08 (0.88, 1.32) for SUA ≤0.25 mmol/L to 2.13 (1.75, 2.60) for SUA >0.50 mmol/L vs. SUA >0.30-0.35 mmol/L for all-cause mortality. For CVD mortality, HRs ranged from 1.05 (0.77, 1.44) to 2.43 (1.83, 3.25). Conclusions NAFLD and CKD were strongly associated, which was reflected by higher SUA concentrations. SUA was a strong predictor of 12-year mortality risk after MI.
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Affiliation(s)
- Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
| | - Anniek C. van Westing
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Isabella Kardys
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Eric Boersma
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Johanna M. Geleijnse
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
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17
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Kuiper LM, Polinder-Bos HA, Bizzarri D, Vojinovic D, Vallerga CL, Beekman M, Dollé MET, Ghanbari M, Voortman T, Reinders MJT, Verschuren WMM, Slagboom PE, van den Akker EB, van Meurs JBJ. Epigenetic and Metabolomic Biomarkers for Biological Age: A Comparative Analysis of Mortality and Frailty Risk. J Gerontol A Biol Sci Med Sci 2023; 78:1753-1762. [PMID: 37303208 PMCID: PMC10562890 DOI: 10.1093/gerona/glad137] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Indexed: 06/13/2023] Open
Abstract
Biological age captures a person's age-related risk of unfavorable outcomes using biophysiological information. Multivariate biological age measures include frailty scores and molecular biomarkers. These measures are often studied in isolation, but here we present a large-scale study comparing them. In 2 prospective cohorts (n = 3 222), we compared epigenetic (DNAm Horvath, DNAm Hannum, DNAm Lin, DNAm epiTOC, DNAm PhenoAge, DNAm DunedinPoAm, DNAm GrimAge, and DNAm Zhang) and metabolomic-based (MetaboAge and MetaboHealth) biomarkers in reflection of biological age, as represented by 5 frailty measures and overall mortality. Biomarkers trained on outcomes with biophysiological and/or mortality information outperformed age-trained biomarkers in frailty reflection and mortality prediction. DNAm GrimAge and MetaboHealth, trained on mortality, showed the strongest association with these outcomes. The associations of DNAm GrimAge and MetaboHealth with frailty and mortality were independent of each other and of the frailty score mimicking clinical geriatric assessment. Epigenetic, metabolomic, and clinical biological age markers seem to capture different aspects of aging. These findings suggest that mortality-trained molecular markers may provide novel phenotype reflecting biological age and strengthen current clinical geriatric health and well-being assessment.
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Affiliation(s)
- Lieke M Kuiper
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands
| | | | - Daniele Bizzarri
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
- Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, The Netherlands
| | - Dina Vojinovic
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | | | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
| | - Martijn E T Dollé
- Center for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Marcel J T Reinders
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
- Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, The Netherlands
| | - W M Monique Verschuren
- Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands
- Julius Center for Health Sciences and Primary Care Utrecht, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
- Max Planck Institute for the Biology of Ageing, Cologne, Germany
| | - Erik B van den Akker
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
- Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, The Netherlands
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Orthopaedics and Sports Medicine, Erasmus MC, Rotterdam, The Netherlands
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18
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Sawicki CM, Haslam DE, Braun KV, Drouin-Chartier JP, Voortman T, Franco OH, Sun Q, Hu FB, Bhupathiraju SN. Methyl Donor Nutrient Intake and Incidence of Type 2 Diabetes: Results From Three Large U.S. Cohorts. Diabetes Care 2023; 46:1799-1806. [PMID: 37643330 PMCID: PMC10516245 DOI: 10.2337/dc23-0662] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/12/2023] [Indexed: 08/31/2023]
Abstract
OBJECTIVE We examined whether intake of methyl donor nutrients, including vitamins B2, B6, and B12 and folate, from foods and/or supplements is associated with type 2 diabetes risk. RESEARCH DESIGN AND METHODS We included 203,644 women and men from the Nurses' Health Study (1984-2016), Nurses' Health Study 2 (1991-2017), and Health Professionals Follow-Up Study (1986-2016). Dietary data were collected every 2-4 years with use of semiquantitative food-frequency questionnaires. Cox proportional hazards models with time-varying covariates were used to evaluate associations between each nutrient and type 2 diabetes risk. We combined cohort-specific hazard ratios (HRs) using inverse variance-weighted fixed-effects meta-analyses. RESULTS During 4,900,181 person-years of follow-up, we documented 19,475 incident type 2 diabetes cases. In multivariable-adjusted meta-analyses, participants in the highest quintiles of total vitamin B2 and B6 intakes had lower risk of diabetes compared with those in the lowest quintiles (HR 0.93 [95% CI 0.89, 0.98] for B2 and 0.93 [0.89, 0.97] for B6). With stratification by source, significant associations remained for B2 from food but not from supplements. Neither association for B6 from food nor association for B6 from supplements attained significance. No association was observed between total B12 intake and diabetes. However, B12 from food was marginally associated with higher diabetes risk (1.05 [1.00-1.11]) but not after additional adjustment for red meat intake (1.04 [0.99-1.10]). No evidence of association was observed between intakes of folate and diabetes. CONCLUSIONS The results of our study suggest that higher intake of vitamin B2 and B6, especially B2 from food sources, may be associated with a modestly lower type 2 diabetes risk.
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Affiliation(s)
- Caleigh M. Sawicki
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Danielle E. Haslam
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Kim V.E. Braun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Nutrition and Dietetics, Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, The Hague, the Netherlands
| | - Jean-Philippe Drouin-Chartier
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels, Université Laval, Québec, Canada
- Faculté de Pharmacie, Université Laval, Québec, Canada
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Oscar H. Franco
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Qi Sun
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Frank B. Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Shilpa N. Bhupathiraju
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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19
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Jacobo Cejudo MG, Ochoa-Rosales C, Ahmadizar F, Kavousi M, Geleijnse JM, Voortman T. The healthy beverage index is not associated with insulin resistance, prediabetes and type 2 diabetes risk in the Rotterdam Study. Eur J Nutr 2023; 62:3021-3031. [PMID: 37488428 PMCID: PMC10468439 DOI: 10.1007/s00394-023-03209-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 07/10/2023] [Indexed: 07/26/2023]
Abstract
PURPOSE Whether beverage quality affects changes in glycaemic traits and type 2 diabetes (T2D) risk is unknown. We examined associations of a previously developed Healthy Beverage Index (HBI) with insulin resistance, and risk of prediabetes and T2D. METHODS We included 6769 participants (59% female, 62.0 ± 7.8 years) from the Rotterdam Study cohort free of diabetes at baseline. Diet was assessed using food-frequency questionnaires at baseline. The HBI included 10 components (energy from beverages, meeting fluid requirements, water, coffee and tea, low-fat milk, diet drinks, juices, alcohol, full-fat milk, and sugar-sweetened beverages), with a total score ranging from 0 to 100. A higher score represents a healthier beverage pattern. Data on study outcomes were available from 1993 to 2015. Multivariable linear mixed models and Cox proportional-hazards regression models were used to examine associations of the HBI (per 10 points increment) with two measurements of HOMA-IR (a proxy for insulin resistance), and risk of prediabetes and T2D. RESULTS During follow-up, we documented 1139 prediabetes and 784 T2D cases. Mean ± SD of the HBI was 66.8 ± 14.4. Higher HBI score was not associated with HOMA-IR (β: 0.003; 95% CI - 0.007, 0.014), or with risk of prediabetes (HR: 1.01; 95% CI 0.97, 1.06), or T2D (HR: 1.01; 95% CI 0.96, 1.07). CONCLUSION Our findings suggest no major role for overall beverage intake quality assessed with the HBI in insulin resistance, prediabetes and T2D incidence. The HBI may not be an adequate tool to assess beverage intake quality in our population.
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Affiliation(s)
- Maria G. Jacobo Cejudo
- Division of Human Nutrition and Health, Wageningen University, PO Box 17, 6700 AA Wageningen, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Fariba Ahmadizar
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Data Science & Biostatistics, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Johanna M. Geleijnse
- Division of Human Nutrition and Health, Wageningen University, PO Box 17, 6700 AA Wageningen, The Netherlands
| | - Trudy Voortman
- Division of Human Nutrition and Health, Wageningen University, PO Box 17, 6700 AA Wageningen, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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20
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Heerkens L, van Kleef LA, de Knegt RJ, Voortman T, Geleijnse JM. Fatty Liver Index and mortality after myocardial infarction: A prospective analysis in the Alpha Omega Cohort. PLoS One 2023; 18:e0287467. [PMID: 37682815 PMCID: PMC10490853 DOI: 10.1371/journal.pone.0287467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 06/06/2023] [Indexed: 09/10/2023] Open
Abstract
Accumulating evidence shows that NAFLD might play a role in the etiology and progression of CVD, but little is known on the association of NAFLD and CVD mortality in patients with a history of a myocardial infarction (MI). Therefore, we studied the relationship of Fatty Liver Index (FLI), as indicator for non-alcoholic fatty liver disease (NAFLD), with 12-year risk of cardiovascular disease (CVD) and all-cause mortality in post-MI patients. We included 4165 Dutch patients from the Alpha Omega Cohort aged 60-80 years who had an MI ≤10 years prior to study enrolment. NAFLD was defined as FLI ≥60. Patients were followed for cause-specific mortality from enrolment (2002-2006) through December 2018. Hazard ratios for CVD and all-cause mortality were obtained by multivariable Cox regression using FLI <30 (indicating absence of NAFLD) as the reference. Baseline FLI as a continuous measure was studied with mortality using restricted cubic splines analyses. The median (IQR) FLI was 68 (48-84). Sixty percent of the patients had FLI ≥60, who were more likely to be male and more often had diabetes, high blood pressure, and high serum cholesterol levels. During 12 years of follow-up, 2042 deaths occurred of which 846 from CVD. Patients with NAFLD were at increased risk of CVD mortality (HR: 1.55 [1.19, 2.03]) and all-cause mortality (HR: 1.21 [1.03; 1.41]) compared to patients without NAFLD. Results remained consistent after excluding patients with obesity and diabetes. To conclude, the adverse association of FLI with CVD mortality was stronger in female than in male patients with conventional cut-off points. FLI ≥60, indicating NAFLD, was a predictor for CVD and all-cause mortality in post-MI patients, independent of other cardiometabolic risk factors. However, cut-off points might differ between male and female patients for predicting CVD mortality.
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Affiliation(s)
- Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Laurens A. van Kleef
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Robert J. de Knegt
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Trudy Voortman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Johanna M. Geleijnse
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
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21
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de Crom TOE, Steur M, Ikram MK, Ikram MA, Voortman T. Plant-based dietary patterns and the risk of dementia: a population-based study. Age Ageing 2023; 52:afad178. [PMID: 37740899 PMCID: PMC10517714 DOI: 10.1093/ageing/afad178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Indexed: 09/25/2023] Open
Abstract
BACKGROUND Plant-based dietary patterns are increasingly popular in western countries and are supported by many governments and health organisations for their potential beneficial role in the prevention of chronic diseases. Yet, the potential role of plant-based dietary patterns in the development of dementia remains unclear. OBJECTIVE To evaluate the association between plant-based dietary patterns and the risk of dementia. METHODS Dietary intake was measured at baseline in 9,543 dementia-free participants (mean age 64 years, birth years 1897-1960, 58% women) of the prospective population-based Rotterdam Study, using food frequency questionnaires. Based on these questionnaires, we calculated an overall plant-based dietary index (PDI), healthy PDI (hPDI) and unhealthy PDI (uPDI), with higher scores reflecting higher consumption of (any, healthy and unhealthy, respectively) plant-based foods and lower consumption of animal-based foods. We analysed the association of the PDIs with incident dementia using Cox proportional hazard models. RESULTS During a mean follow-up of 14.5 years, 1,472 participants developed dementia. Overall, the PDIs were not associated with the risk of dementia (hazard ratio [95% confidence interval] per 10-point increase: 0.99 [0.91-1.08] for PDI, 0.93 [0.86-1.01] for hPDI, 1.02 [0.94-1.10] for uPDI). However, among men and APOE ε4 carriers, a higher hPDI was linearly associated with a lower risk of dementia (0.86 [0.75-0.99] and 0.83 [0.73-0.95], respectively), while this association was U-shaped among APOE ε4 non-carriers (P value for non-linearity = 0.01). CONCLUSIONS We found no strong evidence for an overall association between plant-based eating and the risk of dementia. Our findings in stratified analyses warranted further investigation.
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Affiliation(s)
- Tosca O E de Crom
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Marinka Steur
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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22
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Eglseer D, Traxler M, Schoufour JD, Weijs PJM, Voortman T, Boirie Y, Cruz-Jentoft AJ, Reiter L, Bauer S. Nutritional and exercise interventions in individuals with sarcopenic obesity around retirement age: a systematic review and meta-analysis. Nutr Rev 2023; 81:1077-1090. [PMID: 36882046 PMCID: PMC10413430 DOI: 10.1093/nutrit/nuad007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
CONTEXT Retirement is an opportune time for people to establish new healthy routines. Exercise and nutritional interventions are promising in the prevention and treatment of sarcopenic obesity. OBJECTIVE This systematic review aimed. to assess the effectiveness of nutritional and exercise interventions for the treatment of sarcopenic obesity in persons of retirement age. DATA SOURCES PubMed, Embase, CINAHL, and CENTRAL databases were searched in September 2021 for randomized controlled trials; a manual search was also conducted. The search yielded 261 studies, of which 11 were eligible for inclusion. DATA EXTRACTION Studies of community-dwelling individuals with sarcopenic obesity receiving any nutritional or exercise intervention ≥ 8 weeks with the mean age ± standard deviation between 50 and 70 years were included. Primary endpoint was body composition, and secondary endpoints were body mass index, muscle strength, and physical function. The literature review, study selection, data extraction, and risk-of-bias assessment were performed by two reviewers independently. Data were pooled for meta-analysis when possible. RESULTS Meta-analysis was only possible for the exposure "resistance training" and the exposure "training (resistance or aerobic)" in combination with the exposure "added protein" as compared with "no intervention" or "training alone." Resistance training led to a significant body fat reduction of -1.53% (95%CI, -2.91 to -0.15), an increase in muscle mass of 2.72% (95%CI, 1.23-4.22), an increase in muscle strength of 4.42 kg (95%CI, 2.44-6.04), and a slight improvement in gait speed of 0.17 m/s (95%CI, 0.01-0.34). Protein combined with an exercise intervention significantly reduces fat mass (-0.80 kg; 95%CI, -1.32 to -0.28). Some individual studies of dietary or food supplement interventions for which data could not be pooled showed positive effects on body composition. CONCLUSION Resistance training is an effective treatment for persons of retirement age with sarcopenic obesity. Increased protein intake combined with exercise may increase reductions in fat mass. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no. CRD42021276461.
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Affiliation(s)
- Doris Eglseer
- Institute of Nursing Science, Medical University of Graz,
Graz, Austria
| | - Mariella Traxler
- Institute of Nursing Science, Medical University of Graz,
Graz, Austria
| | - Josje D Schoufour
- are with the Faculty of Sports and Nutrition, Centre of Expertise Urban
Vitality, Amsterdam University of Applied Sciences, Amsterdam, The
Netherlands
| | - Peter J M Weijs
- are with the Faculty of Sports and Nutrition, Centre of Expertise Urban
Vitality, Amsterdam University of Applied Sciences, Amsterdam, The
Netherlands
- is with the Department of Nutrition and Dietetics, Amsterdam University
Medical Centers, Amsterdam Public Health Institute, Vrije Universiteit,
Amsterdam, The Netherlands
| | - Trudy Voortman
- Division of Human Nutrition and Health, Wageningen University &
Research, Wageningen, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center
Rotterdam, Rotterdam, The Netherlands
| | - Yves Boirie
- Clinical Nutrition Department, Human Nutrition Unit, INRA, Centre for
Research in Human Nutrition Auvergne, CHU Clermont-Ferrand, University Clermont
Auvergne, Clermont-Ferrand, France
| | | | - Lea Reiter
- Institute of Nursing Science, Medical University of Graz,
Graz, Austria
| | - Silvia Bauer
- Institute of Nursing Science, Medical University of Graz,
Graz, Austria
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23
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de Crom TOE, Blekkenhorst L, Vernooij MW, Ikram MK, Voortman T, Ikram MA. Dietary nitrate intake in relation to the risk of dementia and imaging markers of vascular brain health: a population-based study. Am J Clin Nutr 2023; 118:352-359. [PMID: 37536866 DOI: 10.1016/j.ajcnut.2023.05.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/16/2023] [Accepted: 05/22/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Nitric oxide is a free radical that can be produced from dietary nitrate and positively affects cardiovascular health. With cardiovascular health playing an important role in the etiology of dementia, we hypothesized a link between dietary nitrate intake and the risk of dementia. OBJECTIVES This study aimed to find the association of total, vegetable, and nonvegetable dietary nitrate intake with the risk of dementia and imaging markers of vascular brain health, such as total brain volume, global cerebral perfusion, white matter hyperintensity volume, microbleeds, and lacunar infarcts. METHODS Between 1990 and 2009, dietary intake was assessed using food-frequency questionnaires in 9543 dementia-free participants (mean age, 64 y; 58% female) from the prospective population-based Rotterdam Study. Participants were followed up for incidence dementia until January 2020. We used Cox models to determine the association between dietary nitrate intake and incident dementia. Using linear mixed models and logistic regression models, we assessed the association of dietary nitrate intake with changes in imaging markers across 3 consecutive examination rounds (mean interval between images 4.6 y). RESULTS Participants median dietary nitrate consumption was 85 mg/d (interquartile range, 55 mg/d), derived on average for 81% from vegetable sources. During a mean follow-up of 14.5 y, 1472 participants developed dementia. A higher intake of total and vegetable dietary nitrate was associated with a lower risk of dementia per 50-mg/d increase [hazard ratio (HR): 0.92; 95% confidence interval (CI): 0.87, 0.98; and HR: 0.92; 95% CI: 0.86, 0.97, respectively] but not with changes in neuroimaging markers. No association between nonvegetable dietary nitrate intake and the risk of dementia (HR: 1.15; 95% CI: 0.64, 2.07) or changes in neuroimaging markers were observed. CONCLUSIONS A higher dietary nitrate intake from vegetable sources was associated with a lower risk of dementia. We found no evidence that this association was driven by vascular brain health.
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Affiliation(s)
- Tosca O E de Crom
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Lauren Blekkenhorst
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Royal Perth Hospital Research Foundation, Perth, Western Australia, Australia
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands; Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands; Department of Neurology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.
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Qian F, Tintle N, Jensen PN, Lemaitre RN, Imamura F, Feldreich TR, Nomura SO, Guan W, Laguzzi F, Kim E, Virtanen JK, Steur M, Bork CS, Hirakawa Y, O'Donoghue ML, Sala-Vila A, Ardisson Korat AV, Sun Q, Rimm EB, Psaty BM, Heckbert SR, Forouhi NG, Wareham NJ, Marklund M, Risérus U, Lind L, Ärnlöv J, Garg P, Tsai MY, Pankow J, Misialek JR, Gigante B, Leander K, Pester JA, Albert CM, Kavousi M, Ikram A, Voortman T, Schmidt EB, Ninomiya T, Morrow DA, Bayés-Genís A, O'Keefe JH, Ong KL, Wu JHY, Mozaffarian D, Harris WS, Siscovick DS. Omega-3 Fatty Acid Biomarkers and Incident Atrial Fibrillation. J Am Coll Cardiol 2023; 82:336-349. [PMID: 37468189 DOI: 10.1016/j.jacc.2023.05.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND The relationship between omega-3 fatty acids and atrial fibrillation (AF) remains controversial. OBJECTIVES This study aimed to determine the prospective associations of blood or adipose tissue levels of eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with incident AF. METHODS We used participant-level data from a global consortium of 17 prospective cohort studies, each with baseline data on blood or adipose tissue omega-3 fatty acid levels and AF outcomes. Each participating study conducted a de novo analyses using a prespecified analytical plan with harmonized definitions for exposures, outcome, covariates, and subgroups. Associations were pooled using inverse-variance weighted meta-analysis. RESULTS Among 54,799 participants from 17 cohorts, 7,720 incident cases of AF were ascertained after a median 13.3 years of follow-up. In multivariable analysis, EPA levels were not associated with incident AF, HR per interquintile range (ie, the difference between the 90th and 10th percentiles) was 1.00 (95% CI: 0.95-1.05). HRs for higher levels of DPA, DHA, and EPA+DHA, were 0.89 (95% CI: 0.83-0.95), 0.90 (95% CI: 0.85-0.96), and 0.93 (95% CI: 0.87-0.99), respectively. CONCLUSIONS In vivo levels of omega-3 fatty acids including EPA, DPA, DHA, and EPA+DHA were not associated with increased risk of incident AF. Our data suggest the safety of habitual dietary intakes of omega-3 fatty acids with respect to AF risk. Coupled with the known benefits of these fatty acids in the prevention of adverse coronary events, our study suggests that current dietary guidelines recommending fish/omega-3 fatty acid consumption can be maintained.
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Affiliation(s)
- Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Nathan Tintle
- Department of Mathematics and Statistics, Dordt University, Sioux Center, Iowa, USA; Fatty Acid Research Institute, Sioux Falls, South Dakota, USA
| | - Paul N Jensen
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Tobias Rudholm Feldreich
- School of Health and Social Sciences, Dalarna University, Falun, Sweden; Center for Clinical Research Dalarna, Region Dalarna, Falun, Sweden
| | - Sarah Oppeneer Nomura
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eunjung Kim
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Marinka Steur
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Christian S Bork
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Michelle L O'Donoghue
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Aleix Sala-Vila
- Fatty Acid Research Institute, Sioux Falls, South Dakota, USA; Cardiovascular Risk and Nutrition - Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Andres V Ardisson Korat
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Systems and Population Health, University of Washington, Seattle, Washington, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Matti Marklund
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden; Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA; The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Ärnlöv
- Center for Clinical Research Dalarna, Region Dalarna, Falun, Sweden; School of Health and Social Studies, Dalarna University, Falun, Sweden; Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institute, Stockholm, Sweden
| | - Parveen Garg
- Division of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Michael Y Tsai
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - James Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jeffrey R Misialek
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Bruna Gigante
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Julie A Pester
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Christine M Albert
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University and Research, Wageningenn, the Netherlands
| | - Erik B Schmidt
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - David A Morrow
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Antoni Bayés-Genís
- Department of Cardiology, Heart Institute, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain; Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - James H O'Keefe
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, Missouri, USA
| | - Kwok Leung Ong
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Jason H Y Wu
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA; Division of Cardiology, Tufts Medical Center, Boston, Massachusetts, USA
| | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, South Dakota, USA; Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, South Dakota, USA
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Limpens MM, Van den Berg RJG, Den Uijl I, Sunamura M, Voortman T, Boersma E, Ter Hoeve N. Physical activity and sedentary behaviour changes during and after cardiac rehabilitation: Can patients be clustered? J Rehabil Med 2023; 55:jrm4343. [PMID: 37435716 PMCID: PMC10364624 DOI: 10.2340/jrm.v55.4343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 04/05/2023] [Indexed: 07/13/2023] Open
Abstract
OBJECTIVE To identify clusters of patients according to changes in their physical behaviour during and after cardiac rehabilitation, and to predict cluster membership. METHODS The study included 533 patients (mean age 57.9 years; 18.2% females) with a recent acute coronary syndrome who participated in a 12-week multi-disciplinary cardiac rehabilitation programme, within a cohort study design. Physical behaviour (light physical activity, moderate-to vigorous physical activity, step count, and sedentary behaviour) was measured using accelerometry at 4 timepoints. To identify clusters of patients according to changes in physical behaviour during and after cardiac rehabilitation, latent class trajectory modelling was applied. Baseline factors to predict cluster membership were assessed using multinomial logistic regression. RESULTS During and after cardiac rehabilitation, 3 separate clusters were identified for all 4 physical behaviour outcomes: patients with steady levels (comprising 68-83% of the patients), and improving (6-21%) or deteriorating (4-23%) levels. Main predictor for membership to a specific cluster was baseline physical behaviour. Patients with higher starting physical behaviour were more likely to be a member of clusters with deteriorating levels. CONCLUSION Separate clusters of physical behaviour changes during and after cardiac rehabilitation could be identified. Clusters were mainly distinguished by baseline physical behaviour level.
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Affiliation(s)
| | | | - Iris Den Uijl
- Department of Rehabilitation Medicine; Capri Cardiac Rehabilitation, Rotterdam
| | | | - Trudy Voortman
- Department of Epidemiology; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Eric Boersma
- Department of Cardiology, Thoraxcenter, Erasmus MC, University Medical Centre Rotterdam, Rotterdam
| | - Nienke Ter Hoeve
- Department of Rehabilitation Medicine; Capri Cardiac Rehabilitation, Rotterdam
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Tolkunova K, Usoltsev D, Moguchaia E, Boyarinova M, Kolesova E, Erina A, Voortman T, Vasilyeva E, Kostareva A, Shlyakhto E, Konradi A, Rotar O, Artomov M. Transgenerational and intergenerational effects of early childhood famine exposure in the cohort of offspring of Leningrad Siege survivors. Sci Rep 2023; 13:11188. [PMID: 37433820 DOI: 10.1038/s41598-023-37119-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 06/15/2023] [Indexed: 07/13/2023] Open
Abstract
Famine exposure during early life development can affect disease risk in late-life period, yet, transmission of phenotypic features from famine-exposed individuals to the next generations has not been well characterized. The purpose of our case-control study was to investigate the association of parental starvation in the perinatal period and the period of early childhood with the phenotypic features observed in two generations of descendants of Leningrad siege survivors. We examined 54 children and 30 grandchildren of 58 besieged Leningrad residents who suffered from starvation in early childhood and prenatal age during the Second World War. Controls from the population-based national epidemiological ESSE-RF study (n = 175) were matched on sex, age and body mass index (BMI). Phenotypes of controls and descendants (both generations, children and grandchildren separately) were compared, taking into account multiple testing. Comparison of two generations descendants with corresponding control groups revealed significantly higher creatinine and lower glomerular filtration rate (GFR), both in meta-analysis and in independent analyses. The mean values of GFR for all groups were within the normal range (GFR less than 60 mL/min/1.73 m2 was recorded in 2 controls and no one in DLSS). Additionally, independent of the creatinine level, differences in the eating pattern were detected: insufficient fish and excessive red meat consumption were significantly more frequent in the children of the Leningrad siege survivors compared with controls. Blood pressure, blood lipids and glucose did not differ between the groups. Parental famine exposure in early childhood may contribute to a decrease in kidney filtration capacity and altered eating pattern in the offspring of famine-exposed individuals.
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Affiliation(s)
| | - Dmitrii Usoltsev
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- ITMO University, St. Petersburg, Russia
| | | | - Maria Boyarinova
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | | | - Anastasia Erina
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Elena Vasilyeva
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Anna Kostareva
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Evgeny Shlyakhto
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Alexandra Konradi
- Almazov National Medical Research Centre, Saint Petersburg, Russia
- ITMO University, St. Petersburg, Russia
| | - Oxana Rotar
- Almazov National Medical Research Centre, Saint Petersburg, Russia.
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
| | - Mykyta Artomov
- Almazov National Medical Research Centre, Saint Petersburg, Russia.
- ITMO University, St. Petersburg, Russia.
- Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA.
- Department of Pediatrics, College of Medicine, Ohio State University, Columbus, OH, USA.
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27
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Karabegović I, Maas SCE, Shuai Y, Ikram MA, Stricker B, Aerts J, Brusselle G, Lahousse L, Voortman T, Ghanbari M. Smoking-related dysregulation of plasma circulating microRNAs: the Rotterdam study. Hum Genomics 2023; 17:61. [PMID: 37430296 DOI: 10.1186/s40246-023-00504-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/26/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression. Differential miRNA expression, which is widely shown to be associated with the pathogenesis of various diseases, can be influenced by lifestyle factors, including smoking. This study aimed to investigate the plasma miRNA signature of smoking habits, the potential effect of smoking cessation on miRNA levels, and relate the findings with lung cancer incidence. RESULTS A targeted RNA-sequencing approach measured plasma miRNA levels in 2686 participants from the population-based Rotterdam study cohort. The association between cigarette smoking (current versus never) and 591 well-expressed miRNAs was assessed via adjusted linear regression models, identifying 41 smoking-associated miRNAs that passed the Bonferroni-corrected threshold (P < 0.05/591 = 8.46 × 10-5). Moreover, we found 42 miRNAs with a significant association (P < 8.46 × 10-5) between current (reference group) and former smokers. Then, we used adjusted linear regression models to explore the effect of smoking cessation time on miRNA expression levels. The expression levels of two miRNAs were significantly different within 5 years of cessation (P < 0.05/41 = 1.22 × 10-3) from current smokers, while for cessation time between 5 and 15 years we found 19 miRNAs to be significantly different from current smokers, and finally, 38 miRNAs were significantly different after more than 15 years of cessation time (P < 1.22 × 10-3). These results imply the reversibility of the smoking effect on plasma levels of at least 38 out of the 41 smoking-miRNAs following smoking cessation. Next, we found 8 out of the 41 smoking-related miRNAs to be nominally associated (P < 0.05) with the incidence of lung cancer. CONCLUSIONS This study demonstrates smoking-related dysregulation of plasma miRNAs, which might have a potential for reversibility when comparing different smoking cessation groups. The identified miRNAs are involved in several cancer-related pathways and include 8 miRNAs associated with lung cancer incidence. Our results may lay the groundwork for further investigation of miRNAs as potential mechanism linking smoking, gene expression and cancer.
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Affiliation(s)
- Irma Karabegović
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Silvana C E Maas
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
- Vall d'Hebron Institute of Oncology (VHIO), 08035, Barcelona, Spain
| | - Yu Shuai
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Bruno Stricker
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Joachim Aerts
- Department of Pulmonary Medicine, Erasmus MC University Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Guy Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, 9000, Ghent, Belgium
| | - Lies Lahousse
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, 9000, Ghent, Belgium
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
- Division of Human Nutrition and Health, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
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van Meijeren-van Lunteren AW, Voortman T, Wolvius EB, Kragt L. Adherence to dietary guidelines and dental caries among children: a longitudinal cohort study. Eur J Public Health 2023:ckad097. [PMID: 37349896 PMCID: PMC10393494 DOI: 10.1093/eurpub/ckad097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Even though dietary sugars are the most important nutrient for caries development, the disease process is dependent on other dietary practices. The intake of individual nutrient components cannot be evaluated separately from the overall diet which includes other nutrients, foods and habits. Therefore, the aim of this study was to investigate the association between adherence to dietary guidelines and dental caries. METHODS This study was embedded in the Generation R Study, conducted in Rotterdam, the Netherlands. In total, 2911 children were included in the present analyses. Dietary intake at the age of 8 years was assessed using food-frequency questionnaires. Diet quality scores were estimated, reflecting adherence to Dutch dietary guidelines. Dental caries was assessed at the age of 13 years using intra-oral photographs. Associations were estimated using multinomial logistic regression analyses, adjusted for sociodemographic characteristics and oral hygiene practices. RESULTS The prevalence of dental caries at the age of 13 years was 33% (n = 969). Better diet quality was associated with a lower occurrence of severe dental caries after adjustments for sociodemographic factors [e.g. highest vs. lowest quartile of diet quality: odds ratio (OR) 0.62, 95% confidence interval (CI) 0.39-0.98]. After additional adjustments for oral hygiene practices, this association was not statistically significant (OR 0.65, 95% CI 0.41-1.03). CONCLUSION Adherence to dietary guidelines has the potential to reduce dental caries in children; however, with proper oral hygiene practices, this relationship might be attenuated. To understand the role of dietary patterns and dental caries, the contributing role of daily eating occasions needs to be studied further.
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Affiliation(s)
- Agatha W van Meijeren-van Lunteren
- The Generation R Study Group, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Trudy Voortman
- The Generation R Study Group, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Eppo B Wolvius
- The Generation R Study Group, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Lea Kragt
- The Generation R Study Group, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Oral and Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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29
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van der Velde LA, Beth SA, Voortman T, van Zelm MC, Moll HA, Kiefte-de Jong JC. Anti-tissue transglutaminase antibodies (TG2A) positivity and the risk of vitamin D deficiency among children - a cross-sectional study in the generation R cohort. BMC Pediatr 2023; 23:286. [PMID: 37286940 DOI: 10.1186/s12887-023-04041-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 04/27/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND Suboptimal vitamin D status is common in people with celiac disease (CeD), a disease that can be characterized by the presence of serum anti-tissue transglutaminase antibodies (TG2A) (i.e., TG2A positivity). To date, it remains unclear whether childhood TG2A positivity is associated with vitamin D status and how this potential association can be explained by other factors than malabsorption only, since vitamin D is mainly derived from exposure to sunlight. The aim of our study was therefore to assess whether childhood TG2A positivity is associated with vitamin D concentrations, and if so, to what extent this association can be explained by sociodemographic and lifestyle factors. METHODS This cross-sectional study was embedded in the Generation R Study, a population-based prospective cohort. We measured serum anti-tissue transglutaminase antibodies (TG2A) concentrations and serum 25-hydroxyvitamin D (25(OH)D) concentrations of 3994 children (median age of 5.9 years). Children with serum TG2A concentrations ≥ 7 U/mL were considered TG2A positive. To examine associations between TG2A positivity and 25(OH)D concentrations, we performed multivariable linear regression, adjusted for sociodemographic and lifestyle factors. RESULTS Vitamin D deficiency (serum 25(OH)D < 50 nmol/L) was found in 17 out of 54 TG2A positive children (31.5%), as compared to 1182 out of 3940 TG2A negative children (30.0%). Furthermore, TG2A positivity was not associated with 25(OH)D concentrations (β -2.20; 95% CI -9.72;5.33 for TG2A positive vs. TG2A negative children), and this did not change after adjustment for confounders (β -1.73, 95% CI -8.31;4.85). CONCLUSIONS Our findings suggest there is no association between TG2A positivity and suboptimal vitamin D status in the general pediatric population. However, the overall prevalence of vitamin D deficiency in both populations was high, suggesting that screening for vitamin D deficiency among children, regardless of TG2A positivity, would be beneficial to ensure early dietary intervention if needed.
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Affiliation(s)
- Laura A van der Velde
- Health Campus The Hague/Department of Public Health and Primary Care, Leiden University Medical Center, The Hague, The Netherlands
| | - Sanne A Beth
- The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, Rotterdam, The Netherlands
| | - Trudy Voortman
- The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Menno C van Zelm
- Department of Immunology and Pathology, Central Clinical School, Monash University and Alfred Health, Melbourne, Australia
| | - Henriette A Moll
- The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, Rotterdam, The Netherlands
| | - Jessica C Kiefte-de Jong
- Health Campus The Hague/Department of Public Health and Primary Care, Leiden University Medical Center, The Hague, The Netherlands.
- Department of Pediatrics, Erasmus MC, Rotterdam, The Netherlands.
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.
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30
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van Westing AC, Cruijsen E, Voortman T, Geleijnse JM. Dairy products and kidney function decline after myocardial infarction: A prospective analysis in the Alpha Omega Cohort. Clin Nutr 2023:S0261-5614(23)00166-8. [PMID: 37308369 DOI: 10.1016/j.clnu.2023.05.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 05/12/2023] [Accepted: 05/29/2023] [Indexed: 06/14/2023]
Abstract
BACKGROUND & AIMS Population-based studies have shown both beneficial and neutral associations between dairy consumption and kidney function outcomes. We investigated the association between dairy products and kidney function decline in drug-treated post-myocardial infarction (MI) patients. METHODS We analysed data of 2169 post-MI patients (aged 60-80 years, 81% male) of the Alpha Omega Cohort. Dietary data were collected at baseline (2002-2006) using a validated 203-item food frequency questionnaire. The 2021 Chronic Kidney Disease Epidemiology (CKD-EPI) equation was used to estimate 40-months change in creatinine-cystatin C based glomerular filtration rate (eGFRcr-cysC, mL/min per 1.73 m2). Beta coefficients and 95% confidence intervals (CIs) for dairy products in relation to annual eGFRcr-cysC change were obtained from multivariable linear regression, adjusted for age, sex, energy intake, and other lifestyle and dietary factors. RESULTS Baseline energy-adjusted median intakes were 64 g/day for total milk, 20 g/day for hard cheeses, 18 g/day for plain yogurt, and 70 g/day for dairy desserts. Mean ± SD eGFRcr-cysC was 84 ± 20 (13% with CKD), and annual eGFRcr-cysC change was -1.71 ± 3.85. In multivariable models, high vs. low intakes of total milk, cheese, and dairy desserts were not associated with annual eGFRcr-cysC change (βtotal milk: -0.21 [-0.60; 0.19], βcheese: -0.08 [-0.52; 0.36], βdairy desserts: -0.24 [-0.72; 0.24]). High vs. low intake of yogurt was adversely associated with annual eGFRcr-cysC change (βtotal yogurt: -0.50 [-0.91;-0.09]), but subsequent spline analyses showed no clear dose-response association. CONCLUSIONS Intakes of milk, cheese or dairy desserts were not associated with a delayed kidney function decline after MI. The observed adverse association for yogurt should be interpreted with caution. Our findings require confirmation in other cohorts of coronary heart disease patients.
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Affiliation(s)
- Anniek C van Westing
- Division of Human Nutrition and Health, Wageningen University & Research, the Netherlands.
| | - Esther Cruijsen
- Division of Human Nutrition and Health, Wageningen University & Research, the Netherlands
| | - Trudy Voortman
- Division of Human Nutrition and Health, Wageningen University & Research, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University & Research, the Netherlands
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Chen J, Radjabzadeh D, Medina-Gomez C, Voortman T, van Meurs JBJ, Ikram MA, Uitterlinden AG, Kraaij R, Zillikens MC. Advanced Glycation End Products (AGEs) in Diet and Skin in Relation to Stool Microbiota: The Rotterdam Study. Nutrients 2023; 15:nu15112567. [PMID: 37299529 DOI: 10.3390/nu15112567] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/11/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Advanced glycation end products (AGEs) are involved in age-related diseases, but the interaction of gut microbiota with dietary AGEs (dAGEs) and tissue AGEs in the population is unknown. OBJECTIVE Our objective was to investigate the association of dietary and tissue AGEs with gut microbiota in the population-based Rotterdam Study, using skin AGEs as a marker for tissue accumulation and stool microbiota as a surrogate for gut microbiota. DESIGN Dietary intake of three AGEs (dAGEs), namely carboxymethyl-lysine (CML), N-(5-hydro-5-methyl-4-imidazolon-2-yl)-ornithine (MGH1), and carboxyethyl-lysine (CEL), was quantified at baseline from food frequency questionnaires. Following up after a median of 5.7 years, skin AGEs were measured using skin autofluorescence (SAF), and stool microbiota samples were sequenced (16S rRNA) to measure microbial composition (including alpha-diversity, beta-dissimilarity, and taxonomic abundances) as well as predict microbial metabolic pathways. Associations of both dAGEs and SAF with microbial measures were investigated using multiple linear regression models in 1052 and 718 participants, respectively. RESULTS dAGEs and SAF were not associated with either the alpha-diversity or beta-dissimilarity of the stool microbiota. After multiple-testing correction, dAGEs were not associated with any of the 188 genera tested, but were nominally inversely associated with the abundance of Barnesiella, Colidextribacter, Oscillospiraceae UCG-005, and Terrisporobacter, in addition to being positively associated with Coprococcus, Dorea, and Blautia. A higher abundance of Lactobacillus was associated with a higher SAF, along with several nominally significantly associated genera. dAGEs and SAF were nominally associated with several microbial pathways, but none were statistically significant after multiple-testing correction. CONCLUSIONS Our findings did not solidify a link between habitual dAGEs, skin AGEs, and overall stool microbiota composition. Nominally significant associations with several genera and functional pathways suggested a potential interaction between gut microbiota and AGE metabolism, but validation is required. Future studies are warranted, to investigate whether gut microbiota modifies the potential impact of dAGEs on health.
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Affiliation(s)
- Jinluan Chen
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Djawad Radjabzadeh
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Robert Kraaij
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
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Glisic M, Raguindin PF, Gemperli A, Taneri PE, Salvador DJ, Voortman T, Marques Vidal P, Papatheodorou SI, Kunutsor SK, Bano A, Ioannidis JPA, Muka T. A 7-Step Guideline for Qualitative Synthesis and Meta-Analysis of Observational Studies in Health Sciences. Public Health Rev 2023; 44:1605454. [PMID: 37260612 PMCID: PMC10227668 DOI: 10.3389/phrs.2023.1605454] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 04/14/2023] [Indexed: 06/02/2023] Open
Abstract
Objectives: To provide a step-by-step, easy-to-understand, practical guide for systematic review and meta-analysis of observational studies. Methods: A multidisciplinary team of researchers with extensive experience in observational studies and systematic review and meta-analysis was established. Previous guidelines in evidence synthesis were considered. Results: There is inherent variability in observational study design, population, and analysis, making evidence synthesis challenging. We provided a framework and discussed basic meta-analysis concepts to assist reviewers in making informed decisions. We also explained several statistical tools for dealing with heterogeneity, probing for bias, and interpreting findings. Finally, we briefly discussed issues and caveats for translating results into clinical and public health recommendations. Our guideline complements "A 24-step guide on how to design, conduct, and successfully publish a systematic review and meta-analysis in medical research" and addresses peculiarities for observational studies previously unexplored. Conclusion: We provided 7 steps to synthesize evidence from observational studies. We encourage medical and public health practitioners who answer important questions to systematically integrate evidence from observational studies and contribute evidence-based decision-making in health sciences.
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Affiliation(s)
- Marija Glisic
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Swiss Paraplegic Research, Nottwil, Switzerland
| | - Peter Francis Raguindin
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Swiss Paraplegic Research, Nottwil, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
- Faculty of Health Science and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Armin Gemperli
- Swiss Paraplegic Research, Nottwil, Switzerland
- Institute of Primary and Community Care, University of Lucerne, Lucerne, Switzerland
| | - Petek Eylul Taneri
- HRB-Trials Methodology Research Network, National University of Ireland, Galway, Ireland
| | - Dante Jr. Salvador
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands
| | - Pedro Marques Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | | | - Setor K. Kunutsor
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, United Kingdom
- Translational Health Sciences, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol, United Kingdom
| | - Arjola Bano
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - John P. A. Ioannidis
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United States
- Department of Statistics, Stanford University, Stanford, CA, United States
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, United States
| | - Taulant Muka
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, United States
- Epistudia, Bern, Switzerland
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Mou Y, Blok E, Barroso M, Jansen PW, White T, Voortman T. Dietary patterns, brain morphology and cognitive performance in children: Results from a prospective population-based study. Eur J Epidemiol 2023:10.1007/s10654-023-01012-5. [PMID: 37155025 DOI: 10.1007/s10654-023-01012-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 04/18/2023] [Indexed: 05/10/2023]
Abstract
Dietary patterns in childhood have been associated with child neurodevelopment and cognitive performance, while the underlying neurobiological pathway is unclear. We aimed to examine associations of dietary patterns in infancy and mid-childhood with pre-adolescent brain morphology, and whether diet-related differences in brain morphology mediate the relation with cognition. We included 1888 and 2326 children with dietary data at age one or eight years, respectively, and structural neuroimaging at age 10 years in the Generation R Study. Measures of brain morphology were obtained using magnetic resonance imaging. Dietary intake was assessed using food-frequency questionnaires, from which we derived diet quality scores based on dietary guidelines and dietary patterns using principal component analyses. Full scale IQ was estimated using the Wechsler Intelligence Scale for Children-Fifth Edition at age 13 years. Children with higher adherence to a dietary pattern labeled as 'Snack, processed foods and sugar' at age one year had smaller cerebral white matter volume at age 10 (B = -4.3, 95%CI -6.9, -1.7). At age eight years, higher adherence to a 'Whole grains, soft fats and dairy' pattern was associated with a larger total brain (B = 8.9, 95%CI 4.5, 13.3), and larger cerebral gray matter volumes at age 10 (B = 5.2, 95%CI 2.9, 7.5). Children with higher diet quality and better adherence to a 'Whole grains, soft fats and dairy' dietary pattern at age eight showed greater brain gyrification and larger surface area, clustered primarily in the dorsolateral prefrontal cortex. These observed differences in brain morphology mediated associations between dietary patterns and IQ. In conclusion, dietary patterns in early- and mid-childhood are associated with differences in brain morphology which may explain the relation between dietary patterns and neurodevelopment in children.
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Affiliation(s)
- Yuchan Mou
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Elisabet Blok
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Monica Barroso
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Pauline W Jansen
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Section on Social and Cognitive Developmental Neuroscience, National Institutes of Mental Health, Bethesda, MD, USA
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
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Rodriguez-Ayllon M, Neumann A, Hofman A, Voortman T, Lubans DR, Yang-Huang J, Jansen PW, Raat H, Vernooij MW, Muetzel RL. Neurobiological, Psychosocial, and Behavioral Mechanisms Mediating Associations Between Physical Activity and Psychiatric Symptoms in Youth in the Netherlands. JAMA Psychiatry 2023; 80:451-458. [PMID: 36988919 PMCID: PMC10061317 DOI: 10.1001/jamapsychiatry.2023.0294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/23/2023] [Indexed: 03/30/2023]
Abstract
Importance Understanding the mechanisms by which physical activity is associated with a lower risk of psychiatric symptoms may stimulate the identification of cost-efficient strategies for preventing and treating mental illness at early life stages. Objective To examine neurobiological, psychosocial, and behavioral mechanisms that mediate associations of physical activity with psychiatric symptoms in youth by testing an integrated model. Design, setting, and participants Generation R is an ongoing prospective population-based cohort study collecting data from fetal life until young adulthood in a multiethnic urban population in the Netherlands. Pregnant women living in Rotterdam with an expected delivery date between April 2002 and January 2006 were eligible for participation along with their children born during this time. Data were collected at a single research center in the Erasmus Medical Center Sophia Children's Hospital. For the current study, data were analyzed from 4216 children with complete data on both exposure and outcome at ages 6, 10, and 13 years. Data were analyzed from January 2021 to November 2022. Exposures Physical activity was ascertained at age 6 years (visit 1) via parent report and included weekly frequency and duration of walking or cycling to or from school, physical education at school, outdoor play, swimming, and sports participation. Main Outcomes and Measures Psychiatric symptoms (internalizing and externalizing symptoms) were assessed at age 6 years (visit 1) and at age 13 years (visit 3) using the Child Behavior Checklist. Several mechanisms were explored as mediators, measured at age 10 years (visit 2). Neurobiological mechanisms included total brain volume, white matter microstructure, and resting-state connectivity assessed using a 3-T magnetic resonance imaging scanner. Psychosocial mechanisms included self-esteem, body image, and friendship. Behavioral mechanisms included sleep quality, diet quality, and recreational screen time. Pearson correlations between physical activity measures and psychiatric symptoms were calculated, with false discovery rate correction applied to account for the number of tests performed. Mediation analyses were performed when a correlation (defined as false discovery rate P < .05) between exposure and outcome was observed and were adjusted for confounders. Results Among the 4216 children included in this study, the mean (SD) age was 6.0 (0.4) years at visit 1, and 2115 participants (50.2%) were girls. More sports participation was associated with fewer internalizing symptoms (β for direct effect, -0.025; SE, 0.078; P = .03) but not externalizing symptoms. Self-esteem mediated the association between sports participation and internalizing symptoms (β for indirect effect, -0.009; SE, 0.018; P = .002). No evidence was found for associations between any other neurobiological, psychosocial, or behavioral variables. No association was found between other types of physical activity and psychiatric symptoms at these ages. Conclusions and Relevance The integrated model presented in this cohort study evaluated potential mechanisms mediating associations between physical activity and psychiatric symptoms in youth. Self-esteem mediated an association between sports participation in childhood and internalizing symptoms in adolescence; other significant mediations were not observed. Further studies might explore whether larger effects are present in certain subgroups (eg, children at high risk of developing psychiatric symptoms), different ages, or structured sport-based physical activity interventions.
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Affiliation(s)
- María Rodriguez-Ayllon
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Alexander Neumann
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- VIB Center for Molecular Neurology, Antwerp, Belgium
| | - Amy Hofman
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - David R. Lubans
- Centre for Active Living and Learning, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Junwen Yang-Huang
- Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Pauline W. Jansen
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Hein Raat
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ryan L. Muetzel
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
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Gortan Cappellari G, Guillet C, Poggiogalle E, Ballesteros Pomar MD, Batsis JA, Boirie Y, Breton I, Frara S, Genton L, Gepner Y, Gonzalez MC, Heymsfield SB, Kiesswetter E, Laviano A, Prado CM, Santini F, Serlie MJ, Siervo M, Villareal DT, Volkert D, Voortman T, Weijs PJ, Zamboni M, Bischoff SC, Busetto L, Cederholm T, Barazzoni R, Donini LM. Sarcopenic obesity research perspectives outlined by the sarcopenic obesity global leadership initiative (SOGLI) - Proceedings from the SOGLI consortium meeting in rome November 2022. Clin Nutr 2023; 42:687-699. [PMID: 36947988 DOI: 10.1016/j.clnu.2023.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 02/17/2023] [Indexed: 02/26/2023]
Abstract
The European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO) launched the Sarcopenic Obesity Global Leadership Initiative (SOGLI) to reach expert consensus on a definition and diagnostic criteria for Sarcopenic Obesity (SO). The present paper describes the proceeding of the Sarcopenic Obesity Global Leadership Initiative (SOGLI) meeting that was held on November 25th and 26th, 2022 in Rome, Italy. This consortium involved the participation of 50 researchers from different geographic regions and countries. The document outlines an agenda advocated by the SOGLI expert panel regarding the pathophysiology, screening, diagnosis, staging and treatment of SO that needs to be prioritized for future research in the field.
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Affiliation(s)
| | - Christelle Guillet
- University of Clermont Auvergne, INRA, CRNH, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | | | | | - John A Batsis
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yves Boirie
- University of Clermont Auvergne, INRA, CRNH, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Irene Breton
- Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Stefano Frara
- Università Vita-Salute, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | | | | | | | - Eva Kiesswetter
- Institute for Evidence in Medicine, Medical Center & Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | | | | | | | | | | | | | - Dorothee Volkert
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
| | - Trudy Voortman
- Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Peter Jm Weijs
- Amsterdam University Medical Centers, Amsterdam, the Netherlands; Amsterdam University of Applied Sciences, Amsterdam, Netherlands
| | | | | | | | - Tommy Cederholm
- Uppsala University and Karolinska University Hospital, Stockholm, Sweden
| | - Rocco Barazzoni
- Department of Medical Sciences, University of Trieste, Trieste, Italy
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Ochoa-Rosales C, van der Schaft N, Braun KVE, Ho FK, Petermann-Rocha F, Ahmadizar F, Kavousi M, Pell JP, Ikram MA, Celis-Morales CA, Voortman T. C-reactive protein partially mediates the inverse association between coffee consumption and risk of type 2 diabetes: The UK Biobank and the Rotterdam study cohorts. Clin Nutr 2023; 42:661-669. [PMID: 36940600 DOI: 10.1016/j.clnu.2023.02.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 01/13/2023] [Accepted: 02/27/2023] [Indexed: 03/09/2023]
Abstract
BACKGROUND Coffee is among the most consumed beverages worldwide. Coffee consumption has been associated with lower risk of type 2 diabetes mellitus (T2D), but underlying mechanisms are not well understood. We aimed to study the role of classic and novel-T2D biomarkers with anti- or pro-inflammatory activity in the association between habitual coffee intake and T2D risk. Furthermore, we studied differences by coffee types and smoking status in this association. METHODS Using two large population-based cohorts, the UK-Biobank (UKB; n = 145,368) and the Rotterdam Study (RS; n = 7111), we investigated associations of habitual coffee consumption with incident T2D and repeated measures of insulin resistance (HOMA-IR), using Cox proportional hazards and mixed effect models, respectively. Additionally, we studied associations between coffee and subclinical inflammation biomarkers including C-reactive protein (CRP) and IL-13, and adipokines, such as adiponectin and leptin, using linear regression models. Next, we performed formal causal mediation analyses to investigate the role of coffee-associated biomarkers in the association of coffee with T2D. Finally, we evaluated effect modification by coffee type and smoking. All models were adjusted for sociodemographic, lifestyle and health-related factors. RESULTS During a median follow-up of 13.9 (RS) and 7.4 (UKB) years, 843 and 2290 incident T2D cases occurred, respectively. A 1 cup/day increase in coffee consumption was associated with 4% lower T2D risk (RS, HR = 0.96 [95%CI 0.92; 0.99], p = 0.045; UKB, HR = 0.96 [0.94; 0.98], p < 0.001), with lower HOMA-IR (RS, log-transformed β = -0.017 [-0.024;-0.010], p < 0.001), and with lower CRP (RS, log-transformed β = -0.014 [-0.022;-0.005], p = 0.002; UKB, β = -0.011 [-0.012;-0.009], p < 0.001). We also observed associations of higher coffee consumption with higher serum adiponectin and IL-13 concentrations, and with lower leptin concentrations. Coffee-related CRP levels partially mediated the inverse association of coffee intake with T2D incidence (average mediation effect RS β = 0.105 (0.014; 0.240), p = 0.016; UKB β = 6.484 (4.265; 9.339), p < 0.001), with a proportion mediated by CRP from 3.7% [-0.012%; 24.4%] (RS) to 9.8% [5,7%; 25.8%] (UKB). No mediation effect was observed for the other biomarkers. Coffee-T2D and coffee-CRP associations were generally stronger among consumers of ground (filtered or espresso) coffee and among never and former smokers. CONCLUSIONS Lower subclinical inflammation may partially mediate the beneficial association between coffee consumption and lower T2D risk. Consumers of ground coffee and non-smokers may benefit the most. KEYWORDS (MESH TERMS): coffee consumptions; diabetes mellitus, type 2; inflammation; adipokines; biomarkers; mediation analysis; follow-up studies.
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Affiliation(s)
- Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
| | - Niels van der Schaft
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
| | - Kim V E Braun
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Nutrition and Dietetics, Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, the Netherlands.
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - Fanny Petermann-Rocha
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK; Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile.
| | - Fariba Ahmadizar
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Data Science and Biostatistics, University Medical Center Utrecht, Utrecht, Netherlands.
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
| | - Jill P Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
| | - Carlos A Celis-Morales
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK; British Heart Foundation Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health Sciences, University of Glasgow, Glasgow, UK; Research Centre on Exercise Physiology (CIFE), Universidad Mayor, Santiago, Chile; Research Group in Education, Physical Activity and Health (GEEAFyS), Universidad Católica del Maule, Talca, Chile.
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.
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Eglseer D, Traxler M, Embacher S, Reiter L, Schoufour JD, Weijs PJ, Voortman T, Boirie Y, Cruz-Jentoft A, Bauer S. Nutrition and exercise interventions to improve body composition for persons with overweight or obesity near retirement age: A systematic review and network meta-analysis of randomised controlled trials. Adv Nutr 2023; 14:516-538. [PMID: 37028708 DOI: 10.1016/j.advnut.2023.04.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 03/16/2023] [Accepted: 04/03/2023] [Indexed: 04/09/2023] Open
Abstract
The retirement phase is an opportunity to integrate healthy (nutrition/exercise) habits into daily life. We conducted this systematic review to assess which nutrition and exercise interventions most effectively improve body composition (fat/muscle mass), body mass index (BMI) and waist circumference (WC) in persons with obesity/overweight near retirement age (ages 55-70). We conducted a systematic review and network-meta-analysis (NMA) of randomised controlled trials, searching four databases from their inception up to 12 July 2022. The NMA was based on a random effects model, pooled mean differences, standardised mean differences, their 95% confidence intervals, and correlations with multi-arm studies. Subgroup and sensitivity analyses were also conducted. 92 studies were included, 66 of which with 4957 participants could be used for the NMA. Identified interventions were clustered into 12 groups: no intervention, energy restriction (i.e. 500-1000 kcal), energy restriction plus high protein (HP) intake (1.1-1.7 g/kg/body weight), intermittent fasting, mixed exercise (aerobic and resistance), resistance training (RT), aerobic training (AT), HP plus RT, energy restriction plus HP plus exercise, energy restriction plus RT, energy restriction plus AT, and energy restriction plus mixed exercise (ME). Intervention durations ranged from 8 weeks to 6 months. Body fat was reduced with energy restriction plus any exercise or plus HP intake. Energy restriction alone was less effective and tended to decrease muscle mass. Muscle mass was only significantly increased with ME. All other interventions including exercise effectively preserved muscle mass. A BMI and/or WC decrease was achieved with all interventions except AT/RT alone or RT plus HP. Overall, the most effective strategy for nearly all outcomes was combining energy restriction with RT or ME and HP. Healthcare professionals involved in the management of persons with obesity need to be aware that an energy-restricted diet alone may contribute to sarcopenic obesity in persons near retirement age. This network meta-analysis is registered at https://www.crd.york.ac.uk/prospero/as CRD42021276465.
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Affiliation(s)
- Doris Eglseer
- Medical University of Graz, Institute of Nursing Science, Universitätsplatz 4, 8010 Graz, Austria.
| | - Mariella Traxler
- Medical University of Graz, Institute of Nursing Science, Universitätsplatz 4, 8010 Graz, Austria.
| | - Stefan Embacher
- Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation, Auenbruggerplatz 2, 8036 Graz.
| | - Lea Reiter
- Medical University of Graz, Institute of Nursing Science, Universitätsplatz 4, 8010 Graz, Austria
| | - Josje D Schoufour
- Faculty of Sports and Nutrition, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Dr. Meurerhuis, Dokter Meurerlaan 8, 1067 SM Amsterdam, the Netherlands.
| | - Peter Jm Weijs
- Faculty of Sports and Nutrition, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Dr. Meurerhuis, Dokter Meurerlaan 8, 1067 SM Amsterdam, the Netherlands; Department of Nutrition and Dietetics, Amsterdam University Medical Centers, Amsterdam Public Health Institute, VU University, Amsterdam, the Netherlands.
| | - Trudy Voortman
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, P.O. Box 176700 AA Wageningen, The Netherlands; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
| | - Yves Boirie
- University Clermont Auvergne, Human Nutrition Unit, INRA, CRNH Auvergne, CHU Clermont-Ferrand, Clinical Nutrition Department, 63000, Clermont-Ferrand, France.
| | - Alfonso Cruz-Jentoft
- Servicio de Geriatría, Hospital Universitario Ramón y Cajal (IRYCIS), Spain, Ctra. Colmenar Viejo, 28034 Madrid.
| | - Silvia Bauer
- Medical University of Graz, Institute of Nursing Science, Universitätsplatz 4, 8010 Graz, Austria.
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van Westing AC, Ochoa-Rosales C, van der Burgh AC, Chaker L, Geleijnse JM, Hoorn EJ, Voortman T. Association of habitual coffee consumption and kidney function: A prospective analysis in the Rotterdam Study. Clin Nutr 2023; 42:83-92. [PMID: 36516702 DOI: 10.1016/j.clnu.2022.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 11/18/2022] [Accepted: 11/24/2022] [Indexed: 12/02/2022]
Abstract
BACKGROUND & AIMS Population-based studies have suggested a protective effect of coffee against development of chronic kidney disease (CKD), possibly through coffee's anti-inflammatory and antioxidant compounds. Studies on coffee and kidney function decline in the general population are scarce. We studied associations of habitual coffee consumption with repeated assessments of estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR). METHODS We used data from 7,914 participants of the population-based Rotterdam Study. Baseline coffee consumption data (cups/day) were obtained from home interviews and validated food frequency questionnaires (1997-2008). Repeated assessments of eGFR (ml/min per 1.73 m2, 1997-2014) were calculated according to the creatinine-based CKD Epidemiology Collaboration equation of 2012. Repeated assessments of urinary albumin and creatinine were used to estimate ACR (mg/g, 2006-2014). Data were analyzed by applying linear mixed models, adjusted for sociodemographic, lifestyle and dietary factors, and cardiovascular disease risk factors. Predefined subgroup analyses were performed stratified by CKD risk factors. RESULTS Participants' mean (SD) baseline age was 66 (10) years, 57% were women and median [IQR] coffee consumption was 3.0 [2.0, 5.0] cups/day. Those drinking more coffee were more likely to smoke, and to have type 2 diabetes (T2D) and obesity. Mean eGFR was 79 (15) ml/min per 1.73 m2. In the total study population, coffee was not associated with longitudinal eGFR during a median of 5.4 years of follow-up (β = 0.04 ml/min per 1.73 m2 per one cup/day [95% CI: -0.10,0.18]). However, among those aged >70 years, one additional coffee cup/day was associated with on average 0.84 (0.51,1.18) ml/min per 1.73 m2 higher longitudinal eGFR. Among obese participants this estimate was 0.32 (0.01,0.63). A protective trend was also observed among former smokers (0.17 [-0.03,0.39]) and those with T2D (0.42 [-0.05,0.88]). Coffee was not associated with longitudinal ACR (0.01 mg/ml [-0.01,0.02]). CONCLUSION While coffee was not associated with eGFR and ACR in the total population, more coffee consumption was associated with higher longitudinal eGFR among those at higher risk for CKD, i.e., among those aged 70+ and obese participants. These findings require confirmation in other prospective cohort studies.
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Affiliation(s)
- Anniek C van Westing
- Division of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, 6708 WE, Wageningen, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibáñez, Chile
| | - Anna C van der Burgh
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
| | - Layal Chaker
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Internal Medicine, Division Endocrinology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, 6708 WE, Wageningen, the Netherlands
| | - Ewout J Hoorn
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
| | - Trudy Voortman
- Division of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, 6708 WE, Wageningen, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands.
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Chen H, Chen J, Cao Y, Sun Y, Huang L, Ji JS, Voortman T, Vernooij MW, Shen J, Zheng Y, Zong G, Yuan C. Sugary beverages and genetic risk in relation to brain structure and incident dementia: a prospective cohort study. Am J Clin Nutr 2023; 117:672-680. [PMID: 36781080 DOI: 10.1016/j.ajcnut.2023.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/10/2023] [Accepted: 01/19/2023] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND The relation of intake of sugary beverages and genetic predisposition to the long-term risk of dementia and brain structure remains unclear. OBJECTIVES This study aimed to assess the associations of sugar-sweetened beverages (SSBs), artificially-sweetened beverages (ASBs), and natural juices (NJs) and the genetic predisposition with dementia risk and brain structure. METHODS We included 177,926 UK Biobank participants without dementia at baseline and followed them until March 2021. Intake of SSBs, ASBs, and NJs was assessed using repeated web-based 24-h dietary recalls from 2009 to 2012. We calculated a polygenic risk score (PRS) to indicate genetic predisposition of dementia for each individual. We estimated the HRs and 95% CIs using Cox proportional hazard models for dementia risk and β coefficients and 95% CIs using linear models for brain imaging markers. RESULTS During study follow-up (mean = 9.5 years), 1293 participants developed dementia (69.1 cases/100,000 person-years) excluding dementia cases within the first 2 years. Higher intake of SSBs and ASBs (>2 units/d compared with none) was each associated with a higher risk of dementia (HR: 1.34; 95% CI: 1.01, 1.77; P-trend = 0.040 for SSBs and 1.20; 95% CI: 0.84, 1.72; P-trend = 0.004 for ASBs). In contrast, moderate intake of NJs (>0-1 unit/d compared with none) was related to a lower dementia risk (HR: 0.77; 95% CI: 0.68, 0.87), a larger volume of brain gray matter (β = 0.05; 95% CI: 0.02, 0.08), and a lower volume of white matter hyperintensities (β = -0.07; 95% CI: -0.11, -0.03). The associations were not significantly modified by genetic risk (P-interactions = 0.839 for SSB × PRS, 0.732 for ASB × PRS, and 0.950 for NJ × PRS). CONCLUSIONS Higher SSB and ASB intake was associated with higher risk of dementia, and moderate NJ intake was associated with a lower risk of dementia. Am J Clin Nutr 20XX;xx:xx-xx.
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Affiliation(s)
- Hui Chen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jie Chen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yaying Cao
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yuhao Sun
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Liyan Huang
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Jie Shen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yan Zheng
- Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Changzheng Yuan
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
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Abstract
BACKGROUND Exposure to air pollution has been suggested to increase the risk of dementia, but studies on this link often lack a detailed screening for dementia and data on important confounders. OBJECTIVE To determine the association of exposure to air pollution with the risk of dementia and cognitive decline in the population-based Rotterdam Study. METHODS Between 2009 and 2010, we determined air pollutant concentrations at participants residential addresses using land use regression models. Determined air pollutants include particulate matter <10μm (PM10) and <2.5μm (PM2.5), a proxy of elemental carbon (PM2.5 absorbance), nitrogen oxide (NOx), and nitrogen dioxide (NO2). As the individual air pollutant levels were highly correlated (r = 0.71-0.98), we computed a general marker covering all air pollutants based on a principal component analysis. We followed participants up for dementia until 2018 and determined cognitive performance during two subsequent examination rounds. Using Cox and linear mixed models, we related air pollution to dementia and cognitive decline. RESULTS Of the 7,511 non-demented participants at baseline, 545 developed dementia during a median follow-up of 7 years. The general marker of all air pollutants was not associated with the risk of dementia (hazard ratio [95% confidence interval]: 1.04 [0.95-1.15]), neither were the individual air pollutants. Also, the general marker of all air pollutants or the individual air pollutant levels were not associated with cognitive decline. CONCLUSION In this study, we found no clear evidence for an association between exposure to air pollution and the risk of dementia or cognitive decline.
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Affiliation(s)
- Tosca O.E. de Crom
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Bigina N.R. Ginos
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Anna Oudin
- Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - M. Kamran Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands,Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands,Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands,Correspondence to: M. Arfan Ikram, Department of Epidemiology, Erasmus MC, PO Box 2040, 3000 CA Rotterdam, The Netherlands. E-mail:
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Chen Z, Qian F, Hu Y, Voortman T, Li Y, Rimm EB, Sun Q. Dietary phytoestrogens and total and cause-specific mortality: results from 2 prospective cohort studies. Am J Clin Nutr 2023; 117:130-140. [PMID: 36789932 PMCID: PMC10196593 DOI: 10.1016/j.ajcnut.2022.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/14/2022] [Accepted: 10/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Evidence regarding dietary phytoestrogens in relation to mortality remains limited. OBJECTIVES The objective of the study is to examine the associations of intake of isoflavones, lignans, and coumarins with total and cause-specific mortality in US males and females. METHODS We followed 75,981 females in the Nurses' Health Study (1984-2018) and 44,001 males in the Health Professionals Follow-up Study (1986-2018), who were free of cardiovascular disease (CVD), diabetes, or cancer at baseline. Their diet was repeatedly assessed using validated food frequency questionnaires every 2-4 y. Associations with mortality were assessed using time-dependent Cox models with adjustments for demographics, dietary and lifestyle factors, and medical history. RESULTS During 3,427,156 person-years of follow-up, we documented 50,734 deaths, including 12,492 CVD deaths, 13,726 cancer deaths, and 24,516 other non-CVD and noncancer deaths. After multivariable adjustment, the higher total phytoestrogen intake was associated with lower risk of total CVD and other non-CVD and noncancer mortality: comparing extreme quintiles, the pooled HRs (95% CIs) were 0.89 (0.87, 0.92), 0.90 (0.85, 0.96), and 0.86 (0.82, 0.90), respectively. We did not find a significant association with cancer mortality [0.97 (0.92, 1.03)]. For individual phytoestrogens in relation to total mortality, the pooled HRs (95% CIs) comparing extreme quintiles were 0.90 (0.87, 0.92) for isoflavones, 0.93 (0.90, 0.96) for lignans, and 0.93 (0.90, 0.95) for coumarins. Individual phytoestrogens were also significantly associated with lower risk of CVD mortality and other types of mortality. Primary food sources of phytoestrogens, including tofu, soy milk, whole grains, tea, and flaxseed, were also inversely associated with total mortality. CONCLUSIONS A higher intake of total phytoestrogens, including isoflavones, lignans, and coumarins, and foods rich in these compounds was associated with lower risk of total and certain cause-specific mortality in generally healthy US adults. These data suggest that these phytochemicals and their dietary sources may be integrated into an overall healthy diet to achieve a longer life span.
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Affiliation(s)
- Zhangling Chen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Yang Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Joslin Diabetes Center, Boston, Massachusetts, USA.
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Hofman A, Rodriguez-Ayllon M, Vernooij MW, Croll PH, Luik AI, Neumann A, Niessen WJ, Ikram MA, Voortman T, Muetzel RL. Physical activity levels and brain structure in middle-aged and older adults: a bidirectional longitudinal population-based study. Neurobiol Aging 2023; 121:28-37. [DOI: 10.1016/j.neurobiolaging.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 11/11/2022]
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Galle SA, Liu J, Bonnechère B, Amin N, Milders MM, Deijen JB, Scherder EJA, Drent ML, Voortman T, Ikram MA, van Duijn CM. The long-term relation between physical activity and executive function in the Rotterdam Study. Eur J Epidemiol 2023; 38:71-81. [PMID: 36166135 DOI: 10.1007/s10654-022-00902-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 07/24/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Research on the association between physical inactivity and cognitive decline and dementia is dominated by studies with short-term follow-up, that might be biased by reverse causality. OBJECTIVE Investigate the long-term association between physical activity, cognition, and the rate of age-associated cognitive decline. METHODS We investigated the association between late-life physical activity and executive functioning and rate of decline of executive abilities during follow-up of up to 16 years, in 3553 participants of the prospective Rotterdam Study cohort. Measurement took place in 1997-1999, 2002-2004, 2009-2011, and 2014-2015. RESULTS At baseline (age ± 72 years), higher levels of physical activity were associated with higher levels of executive functioning (adjusted mean difference = 0.03, 95% CI: 0.00 ; 0.06, p = 0.03). This difference remained intact up to 16 years of follow-up. The level of physical activity at baseline was unrelated to the rate of decline of executive abilities over time, in the whole group (adjusted mean difference in changetime*physical activity = 0.00, 95% CI: -0.00 ; 0.01, p = 0.31). However, stratification by APOE genotype showed that the accelerated decline of executive abilities observed in those with the ApoE-ε4 allele might be attenuated by higher levels of physical activity in late adulthood (ApoE-ε4 carriers: Btime*physical activity = 0.01, 95% CI: 0.00 ; 0.01, p = 0.03). CONCLUSION Higher levels of physical activity in late adulthood are related to higher levels of executive functioning, up to 16 years of follow-up. Accelerated decline of executive abilities observed in those with the ApoE-ε4 allele might be mitigated by higher levels of physical activity.
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Affiliation(s)
- Sara A Galle
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Department of Epidemiology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands.
| | - Jun Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Bruno Bonnechère
- REVAL Rehabilitation Research Centre, Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium
- Technology-Supported and Data-Driven Rehabilitation, Data Sciences Institute, Hasselt University, Diepenbeek, Belgium
| | - Najaf Amin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Maarten M Milders
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jan Berend Deijen
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Hersencentrum Mental Health Institute, Amsterdam, The Netherlands
| | - Erik J A Scherder
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Madeleine L Drent
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Internal Medicine, Endocrinology Section, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Li Ka Shing Centre for Health Information and Discovery, Big Data Institute, Oxford, UK
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Vergroesen J, Voortman T, Klaver C, Ramdas W. Repeated measures of coffee and tea consumption in relation to open‐angle glaucoma risk and intraocular pressure regulation. Acta Ophthalmol 2022. [DOI: 10.1111/j.1755-3768.2022.0657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Affiliation(s)
- Joëlle Vergroesen
- Ophthalmology Erasmus Medical Center Netherlands
- Epidemiology Erasmus Medical Center Netherlands
| | - Trudy Voortman
- Epidemiology Erasmus Medical Center Netherlands
- Division of Human Nutrition and Health Wageningen University & Research Netherlands
| | - Caroline Klaver
- Ophthalmology Erasmus Medical Center Netherlands
- Epidemiology Erasmus Medical Center Netherlands
- Ophthalmology Radboudumc Netherlands
- Institute of Molecular and Clinical Ophthalmology University of Basel Switzerland
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Waqas K, Chen J, Lu T, van der Eerden BCJ, Rivadeneira F, Uitterlinden AG, Voortman T, Zillikens MC. Dietary advanced glycation end-products (dAGEs) intake and its relation to sarcopenia and frailty - The Rotterdam Study. Bone 2022; 165:116564. [PMID: 36150657 DOI: 10.1016/j.bone.2022.116564] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 07/18/2022] [Accepted: 09/19/2022] [Indexed: 11/02/2022]
Abstract
Studies on mice have shown a relationship between dietary intake of advanced glycation end-products (dAGEs) and deterioration of musculoskeletal health, but human studies are absent. We investigated the relationship between dietary intake of carboxymethyllysine (dCML) - an AGE prototype - and risk of sarcopenia at baseline and after 5 years of follow-up and a single evaluation of physical frailty in participants from the population-based Rotterdam Study. Appendicular lean mass (ALM) was obtained using insight dual-energy X-ray absorptiometry and hand grip strength (HGS) using a hydraulic hand dynamometer. Subjects with both low ALM and weak HGS were classified as having sarcopenia. Frailty (yes/no) was defined by presence of ≥3 and pre-frailty by presence of 1 or 2 components namely, exhaustion, weakness, slowness, weight loss or low physical activity. dCML was calculated using a food frequency questionnaire and dAGE databases. Logistic regression analysis was used to evaluate the odds of physical frailty and prevalent sarcopenia at baseline and follow-up and incident sarcopenia. 2782 participants with an age 66.4 ± 9.9 years and dCML intake 3.3 ± 1.3 mg/day, had data on sarcopenia at both time points. Of whom 84 had sarcopenia at baseline and 73 developed sarcopenia at follow-up. We observed an association of one SD increase in dCML intake with prevalent sarcopenia at baseline [odds ratio, OR = 1.27 (1.01-1.59)] and no association of dCML with incident sarcopenia at 5-year follow-up [OR = 1.12 (0.86-1.44)]. For frailty we analyzed 3577 participants, of whom 1972 were pre-frail and 158 were frail. We observed no association of dCML with either pre-frailty [OR = 0.99 (0.91-1.07)] or frailty [OR = 1.01 (0.83-1.22)] when non-frail subjects were used as reference. Our results show an association of dAGEs with sarcopenia cross-sectionally but not longitudinally where inconclusive findings are observed possibly due to a very low incidence of sarcopenia. There was no association with frailty cross-sectionally.
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Affiliation(s)
- Komal Waqas
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Jinluan Chen
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - T Lu
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - B C J van der Eerden
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Division of Human Nutrition & Health, Wageningen University & Research, Wageningen, the Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
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Mooldijk SS, de Crom TOE, Ikram MK, Ikram MA, Voortman T. Adiposity in the older population and the risk of dementia: The Rotterdam Study. Alzheimers Dement 2022; 19:2047-2055. [PMID: 36444569 DOI: 10.1002/alz.12888] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/24/2022] [Accepted: 10/26/2022] [Indexed: 12/03/2022]
Abstract
INTRODUCTION We determined associations of total and regional adiposity with incident dementia among older adults. METHODS Within the population-based Rotterdam Study, adiposity was measured as total, android, and gynoid fat mass using dual-energy X-ray absorptiometry in 3408 men and 4563 women, every 3 to 6 years between 2002 and 2016. Incident dementia was recorded until 2020. RESULTS Higher adiposity measures were associated with a decreased risk of dementia in both sexes. After excluding the first 5 years of follow-up, only the association of gynoid fat among women remained significant (hazard ratio 0.85 [95% confidence interval 0.75-0.97] per standard deviation increase). No major differences in trajectories of adiposity measures were observed between dementia cases and dementia-free controls. DISCUSSION Higher total and regional fat mass related to a decreased risk of dementia. These results may be explained by reverse causality, although a protective effect of adiposity cannot be excluded. HIGHLIGHTS Total and regional adiposity were assessed using dual-energy X-ray absorptiometry scans in 7971 older adults. All adiposity measures were associated with a decreased risk of dementia. The results suggest a beneficial effect of gynoid fat on the risk of dementia in women. Reverse causation and competing risk may explain these inverse associations.
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Affiliation(s)
- Sanne S. Mooldijk
- Department of Epidemiology Erasmus MC, University Medical Center Rotterdam the Netherlands
| | - Tosca O. E. de Crom
- Department of Epidemiology Erasmus MC, University Medical Center Rotterdam the Netherlands
| | - M. Kamran Ikram
- Department of Epidemiology Erasmus MC, University Medical Center Rotterdam the Netherlands
- Department of Neurology Erasmus MC, University Medical Center Rotterdam the Netherlands
| | - M. Arfan Ikram
- Department of Epidemiology Erasmus MC, University Medical Center Rotterdam the Netherlands
| | - Trudy Voortman
- Department of Epidemiology Erasmus MC, University Medical Center Rotterdam the Netherlands
- Division of Human Nutrition and Health Wageningen University & Research Wageningen the Netherlands
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47
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Wijnant SRA, Benz E, Luik AI, Rivadeneira F, Voortman T, Brusselle GG, Lahousse L. Frailty Transitions in Older Persons With Lung Function Impairment: A Population-Based Study. J Gerontol A Biol Sci Med Sci 2022; 78:349-356. [PMID: 36226677 PMCID: PMC9951055 DOI: 10.1093/gerona/glac202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The aging population and its burden on health care systems warrant early detection of patients at risk of functional decline and mortality. We aimed to assess frailty transitions and its accuracy for mortality prediction in participants with impaired spirometry (Preserved Ratio Impaired Spirometry [PRISm] or chronic obstructive pulmonary disease [COPD]). METHODS In participants from the population-based Rotterdam Study (mean age 69.1 ± 8.9 years), we examined whether PRISm (forced expiratory volume in 1 second [FEV1]/forced vital capacity [FVC] ≥ 70% and FEV1 < 80%) or COPD (FEV1/FVC < 70%) affected frailty transitions (progression/recovery between frailty states [robust, prefrailty, and frailty], lost to follow-up, or death) using age-, sex- and smoking state-adjusted multinomial regression models yielding odds ratios (OR). Second, we assessed the diagnostic accuracy of frailty score for predicting mortality in participants with COPD using c-statistics. RESULTS Compared to participants with normal spirometry, participants with PRISm were more likely to transit from robust (OR 2.2 [1.2-4.2], p < .05) or prefrailty (OR 2.6 [1.3-5.5], p < .01) toward frailty. Participants with PRISm (OR 0.4 [0.2-0.8], p < .05) and COPD (OR 0.6 [0.4-1.0], NS) were less likely to recover from their frail state, and were more likely to progress from any frailty state toward death (OR between 1.1 and 2.8, p < .01). Accuracy for predicting mortality in participants with COPD significantly improved when adding frailty score to age, sex, and smoking status (90.5 [82.3-89.8] vs 77.9 [67.2-88.6], p < .05). CONCLUSION Participants with PRISm or COPD more often developed frailty with poor reversibility. Assessing physical frailty improved risk stratification for participants with impaired spirometry for predicting increased life years.
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Affiliation(s)
- Sara R A Wijnant
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium,Department of Epidemiology, Erasmus MC―University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Elizabeth Benz
- Department of Epidemiology, Erasmus MC―University Medical Center Rotterdam, Rotterdam, the Netherlands,Department of Internal Medicine, Erasmus MC―University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC―University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC―University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC―University Medical Center Rotterdam, Rotterdam, the Netherlands,Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - Guy G Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium,Department of Epidemiology, Erasmus MC―University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Lies Lahousse
- Address correspondence to: Lies Lahousse, PhD, Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium. E-mail:
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48
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Raeisi-Dehkordi H, Kummer S, Francis Raguindin P, Dejanovic G, Eylul Taneri P, Cardona I, Kastrati L, Minder B, Voortman T, Marques-Vidal P, Dhana K, Glisic M, Muka T. Risk Prediction Models of Natural Menopause Onset: A Systematic Review. J Clin Endocrinol Metab 2022; 107:2934-2944. [PMID: 35908226 DOI: 10.1210/clinem/dgac461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Predicting the onset of menopause is important for family planning and to ensure prompt intervention in women at risk of developing menopause-related diseases. OBJECTIVE We aimed to summarize risk prediction models of natural menopause onset and their performance. METHODS Five bibliographic databases were searched up to March 2022. We included prospective studies on perimenopausal women or women in menopausal transition that reported either a univariable or multivariable model for risk prediction of natural menopause onset. Two authors independently extracted data according to the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist. Risk of bias was assessed using a prediction model risk of bias assessment tool (PROBAST). RESULTS Of 8132 references identified, we included 14 articles based on 8 unique studies comprising 9588 women (mainly Caucasian) and 3289 natural menopause events. All included studies used onset of natural menopause (ONM) as outcome, while 4 studies also predicted early ONM. Overall, there were 180 risk prediction models investigated, with age, anti-Müllerian hormone, and follicle-stimulating hormone being the most investigated predictors. Estimated C-statistic for the prediction models ranged from 0.62 to 0.95. Although all studies were rated at high risk of bias mainly due to the methodological concerns related to the statistical analysis, their applicability was satisfactory. CONCLUSION Predictive performance and generalizability of current prediction models on ONM is limited given that these models were generated from studies at high risk of bias and from specific populations/ethnicities. Although in certain settings such models may be useful, efforts to improve their performance are needed as use becomes more widespread.
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Affiliation(s)
- Hamidreza Raeisi-Dehkordi
- Institute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, 3012 Bern, Switzerland
| | - Stefanie Kummer
- Institute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, Switzerland
| | - Peter Francis Raguindin
- Institute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, 3012 Bern, Switzerland
- Swiss Paraplegic Research, 6207, Nottwil, Switzerland
| | - Gordana Dejanovic
- Institute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, Switzerland
| | - Petek Eylul Taneri
- School of Nursing and Midwifery, National University of Ireland, Galway H91 CF50, Ireland
- HRB-Trials Methodology Research Network, National University Of Ireland, Galway H91 CF50, Ireland
| | - Isabel Cardona
- Institute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, Switzerland
- Department of Obstetrics and Gynaecology, McGill University Health Center, McGill University, Montreal H4A 3J1, Canada
| | - Lum Kastrati
- Institute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, 3012 Bern, Switzerland
| | - Beatrice Minder
- Public Health & Primary Care Library, University Library of Bern, University of Bern, 3012 Bern, Switzerland
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, 3000 CA Rotterdam, the Netherlands
- Division of Human Nutrition and Health, Wageningen University & Research, 6708 PB Wageningen, the Netherlands
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne CH-1015, Switzerland
| | - Klodian Dhana
- Section on Nutrition and Nutritional Epidemiology, Department of Internal Medicine, Rush University, Chicago, IL 60612, USA
| | - Marija Glisic
- Institute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, Switzerland
- Swiss Paraplegic Research, 6207, Nottwil, Switzerland
| | - Taulant Muka
- Institute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, Switzerland
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49
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Karabegović I, Abozaid Y, Maas SCE, Labrecque J, Bos D, De Knegt RJ, Ikram MA, Voortman T, Ghanbari M. Plasma MicroRNA Signature of Alcohol Consumption: The Rotterdam Study. J Nutr 2022; 152:2677-2688. [PMID: 36130258 PMCID: PMC9839997 DOI: 10.1093/jn/nxac216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 08/16/2022] [Accepted: 09/13/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND MicroRNAs (miRNAs) represent a class of noncoding RNAs that regulate gene expression and are implicated in the pathogenesis of different diseases. Alcohol consumption might affect the expression of miRNAs, which in turn could play a role in risk of diseases. OBJECTIVES We investigated whether plasma concentrations of miRNAs are altered by alcohol consumption. Given the existing evidence showing the link between alcohol and liver diseases, we further explored the extent to which these associations are mediated by miRNAs. METHODS Profiling of plasma miRNAs was conducted using the HTG EdgeSeq miRNA Whole Transcriptome Assay in 1933 participants of the Rotterdam Study. Linear regression was implemented to explore the link between alcohol consumption (glasses/d) and miRNA concentrations, adjusted for age, sex, cohort, BMI, and smoking. Sensitivity analysis for alcohol categories (nondrinkers, light drinkers, and heavy drinkers) was performed, where light drinkers corresponded to 0-2 glasses/d in men and 0-1 glasses/d in women, and heavy drinkers to >2 glasses/d in men and >1 glass/d in women. Moreover, we utilized the alcohol-associated miRNAs to explore their potential mediatory role between alcohol consumption and liver-related traits. Finally, we retrieved putative target genes of identified miRNAs to gain an understanding of the molecular pathways concerning alcohol consumption. RESULTS Plasma concentrations of miR-193b-3p, miR-122-5p, miR-3937, and miR-4507 were significantly associated with alcohol consumption surpassing the Bonferroni-corrected P < 8.46 × 10-5. The top significant association was observed for miR-193b-3p (β = 0.087, P = 2.90 × 10-5). Furthermore, a potential mediatory role of miR-3937 and miR-122-5p was observed between alcohol consumption and liver traits. Pathway analysis of putative target genes revealed involvement in biological regulation and cellular processes. CONCLUSIONS This study indicates that alcohol consumption is associated with plasma concentrations of 4 miRNAs. We outline a potential mediatory role of 2 alcohol-associated miRNAs (miR-3937 and miR-122-5p), laying the groundwork for further exploration of miRNAs as potential mediators between lifestyle factors and disease development.
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Affiliation(s)
- Irma Karabegović
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Yasir Abozaid
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Silvana C E Maas
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Jeremy Labrecque
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Robert J De Knegt
- Department of Gastroenterology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands,Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
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50
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Lu Z, Tilly MJ, Aribas E, Bos D, Geurts S, Stricker BH, de Knegt R, Ikram MA, de Groot NMS, Voortman T, Kavousi M. Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study. BMC Med 2022; 20:317. [PMID: 36117169 PMCID: PMC9484252 DOI: 10.1186/s12916-022-02505-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Obesity is a well-established risk factor for atrial fibrillation (AF). Whether body fat depots differentially associate with AF development remains unknown. METHODS In the prospective population-based Rotterdam Study, body composition was assessed using dual-energy X-ray absorptiometry (DXA) and liver and epicardial fat using computed tomography (CT). A body composition score was constructed by adding tertile scores of each fat depot. Principal component analysis was conducted to identify potential body fat distribution patterns. Cox proportional hazards regression was used to calculate hazard ratios and 95% confidence intervals (HR; 95% CI) per 1-standard deviation increase in corresponding fat depots to enable comparisons. RESULTS Over a median follow-up of 9.6 and 8.6 years, 395 (11.4%) and 172 (8.0%) AF cases were ascertained in the DXA and the CT analyses, respectively. After adjustments for cardiovascular risk factors, absolute fat mass (HR; 95% CI 1.33; 1.05-1.68), gynoid fat mass (HR; 95% CI 1.36; 1.12-1.65), epicardial fat mass (HR; 95% CI 1.27; 1.09-1.48), and android-to-gynoid fat ratio (HR; 95% CI 0.81; 0.70-0.94) were independently associated with new-onset AF. After further adjustment for lean mass, associations between fat mass (HR; 95% CI 1.17; 1.04-1.32), gynoid fat mass (HR; 95% CI 1.21; 1.08-1.37), and android-to-gynoid fat ratio (HR; 95% CI 0.84; 0.72-0.97) remained statistically significant. Larger body fat score was associated with a higher AF risk (HR; 95% CI 1.10; 1.02-1.20). Borderline significant association was found between a subcutaneous fat predominant pattern with AF onset (HR; 95% CI 1.21; 0.98-1.49). CONCLUSIONS Various body fat depots were associated with new-onset AF. Total fat mass and gynoid fat mass were independently associated with AF after adjustment for body size. The inverse association between android-to-gynoid fat ratio with AF presents a novel finding. A significant dose-response relationship between body fat accumulation and AF was observed. Our results underscore the predominant role of subcutaneous fat on AF development among a middle-aged and elderly population. Associations betw2een body fat depots, fat distribution and new-onset atrial fibrillation. ABBREVIATIONS AF, atrial fibrillation.
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Affiliation(s)
- Zuolin Lu
- Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Martijn J Tilly
- Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Elif Aribas
- Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Sven Geurts
- Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Robert de Knegt
- Department of Gastroenterology & Hepatology, Erasmus MC, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Natasja M S de Groot
- Department of Cardiology, Erasmus MC, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, office Na-2714, University Medical Centre Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
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