Fat metabolism is associated with telomere length in six population-based studies

Ashley van der Spek, René Pool, Gonneke Willemsen, Gerard Van Grootheest, Brenda W J H Penninx, Dorret I Boomsma, Cornelia M Van Duijn, BBMRI Metabolomics Consortium

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Telomeres are repetitive DNA sequences located at the end of chromosomes, which are associated to biological aging, cardiovascular disease, cancer and mortality. Lipid and fatty acid metabolism have been associated with telomere shortening. We have conducted an in-depth study investigating the association of metabolic biomarkers with telomere length (LTL). We performed an association analysis of 226 metabolic biomarkers with LTL using data from 11 775 individuals from six independent population-based cohorts (BBMRI-NL consortium). Metabolic biomarkers include lipoprotein lipids and subclasses, fatty acids, amino acids, glycolysis measures and ketone bodies. LTL was measured by quantitative polymerase chain reaction or FlowFISH. Linear regression analysis was performed adjusting for age, sex, lipid-lowering medication and cohort-specific covariates (model 1) and additionally for body mass index (BMI) and smoking (model 2), followed by inverse variance-weighted meta-analyses (significance threshold Pmeta = 6.5 × 10−4). We identified four metabolic biomarkers positively associated with LTL, including two cholesterol to lipid ratios in small VLDL (S-VLDL-C % and S-VLDL-CE %) and two omega-6 fatty acid ratios (FAw6/FA and LA/FA). After additionally adjusting for BMI and smoking, these metabolic biomarkers remained associated with LTL with similar effect estimates. In addition, cholesterol esters in very small VLDL (XS-VLDL-CE) became significantly associated with LTL (P = 3.6 × 10−4). We replicated the association of FAw6/FA with LTL in an independent dataset of 7845 individuals (P = 1.9 × 10−4). To conclude, we identified multiple metabolic biomarkers involved in lipid and fatty acid metabolism that may be involved in LTL biology. Longitudinal studies are needed to exclude reversed causation.
Original languageEnglish
Pages (from-to)1159-1170
Number of pages12
JournalHuman molecular genetics
Volume31
Issue number7
Early online date24 Oct 2021
DOIs
Publication statusPublished - 1 Apr 2022

Funding

FundersFunder number
Avera Institute
BBMRI184.021.007
BBMRI-NL
Biobanking and Biomolecular Resources Research Infrastructure184.033.111
CVON2012-03
Dutch Government
ENGAGE
European Science Council
European Special Populations Research Network
FP6 STRP018947, LSHG-CT-2006-01947
IN-CONTROL2 CVON2019-05
JNPD733051021
NWO-VICI91811602
Netherlands Consortium for Healthy Ageing050-060-810
Netherlands Consortium for Systems Biology
Netherlands Heart Foundation
Netherlands Organization for the Health Research and Development
Quality of Life and Management of the Living Resources’ of fifth Framework ProgrammeQLG2-CT-2002-01254
Research Institute for Diseases in the Elderly
Spinozapremie56-464-14192
National Institutes of Health1RC2 MH089951, MH081802, R01D0042157-01A
National Institutes of Health
National Institute of Mental HealthU24 MH068457-06
National Institute of Mental Health
Seventh Framework ProgrammeIGE05007, FP7/2007-2013, 259679, 602633, HEALTH-F4-2007-201413
Seventh Framework Programme
European Commission
European Research Council715772, 230374
European Research Council
Universiteit Leiden
Rijksuniversiteit Groningen
ZonMw10-000-1002
ZonMw
Erasmus Universiteit Rotterdam
Ministerie van Volksgezondheid, Welzijn en Sport
Erasmus Medisch Centrum
Ministerie van Onderwijs, Cultuur en Wetenschap
Nederlandse Organisatie voor Wetenschappelijk Onderzoek904-61-090, 904-61-193,480-04-004, 400-05-717, 985-10-002, NWO-VIDI 016.178.056
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Hersenstichting
Internationale Stichting Alzheimer Onderzoek
Centre for Medical Systems Biology

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