It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Telomere shortening has been associated with multiple age-related diseases such as cardiovascular disease, diabetes, and dementia. However, the biological mechanisms responsible for these associations remain largely unknown. In order to gain insight into the metabolic processes driving the association of leukocyte telomere length (LTL) with age-related diseases, we investigated the association between LTL and serum metabolite levels in 7,853 individuals from seven independent cohorts. LTL was determined by quantitative polymerase chain reaction and the levels of 131 serum metabolites were measured with mass spectrometry in biological samples from the same blood draw. With partial correlation analysis, we identified six metabolites that were significantly associated with LTL after adjustment for multiple testing: lysophosphatidylcholine acyl C17:0 (lysoPC a C17:0, p-value = 7.1 × 10−6), methionine (p-value = 9.2 × 10−5), tyrosine (p-value = 2.1 × 10−4), phosphatidylcholine diacyl C32:1 (PC aa C32:1, p-value = 2.4 × 10−4), hydroxypropionylcarnitine (C3-OH, p-value = 2.6 × 10−4), and phosphatidylcholine acyl-alkyl C38:4 (PC ae C38:4, p-value = 9.0 × 10−4). Pathway analysis showed that the three phosphatidylcholines and methionine are involved in homocysteine metabolism and we found supporting evidence for an association of lipid metabolism with LTL. In conclusion, we found longer LTL associated with higher levels of lysoPC a C17:0 and PC ae C38:4, and with lower levels of methionine, tyrosine, PC aa C32:1, and C3-OH. These metabolites have been implicated in inflammation, oxidative stress, homocysteine metabolism, and in cardiovascular disease and diabetes, two major drivers of morbidity and mortality.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details







1 Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
2 Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
3 Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands; Amsterdam Public Health research institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands; Section of Genomics of Common Disease, Imperial College London, Burlington Danes Building Room E301, Du Cane Road, London, UK
4 Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands; Amsterdam Public Health research institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands; BBMRI-NL: Infrastructure for the Application of Metabolomics Technology in Epidemiology (RP4), Utrecht, The Netherlands
5 Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
6 Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
7 Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK; NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust, London, UK
8 Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia
9 School of Biomedical Sciences, Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
10 Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
11 Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
12 Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands; Amsterdam Public Health research institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
13 Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands; Max Planck Institute for Biology of Ageing, Cologne, Germany
14 Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
15 Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK; Department of Bioinformatics, Institute of Health Sciences, Hacettepe University, 06100, Ankara, Turkey
16 Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia; Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
17 Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
18 The Institute for Molecular Biosciences, The University of Queensland, Brisbane, Australia
19 CARIM School for Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), and Department of Biochemistry, Maastricht University, Maastricht, The Netherlands
20 QIMR Berghofer Medical Research Institute, Brisbane, Australia
21 Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
22 Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Germany
23 Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
24 Queensland Brain Institute, The University of Queensland, Brisbane, Australia
25 Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
26 Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Leiden Academic Centre for Drug Research, Leiden University, Leiden, Netherlands; Nuffield Department of Population Health, University of Oxford, Oxford, UK