Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults
BACKGROUND: Quantification of metabolic changes over the human life course is essential to understanding ageing processes. Yet longitudinal metabolomics data are rare and long gaps between visits can introduce biases that mask true trends. We introduce new ways to process quantitative time-series po...
Published in: | International Journal of Epidemiology |
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Online Access: | https://trepo.tuni.fi/handle/10024/150114 https://doi.org/10.1093/ije/dyac062 |
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ftunivtampere:oai:trepo.tuni.fi:10024/150114 2024-01-07T09:45:28+01:00 Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults Mäkinen, Ville-Petteri Karsikas, Mari Kettunen, Johannes Lehtimäki, Terho Kähönen, Mika Viikari, Jorma Perola, Markus Salomaa, Veikko Järvelin, Marjo-Riitta Raitakari, Olli T Ala-Korpela, Mika Tampere University Computing Sciences Clinical Medicine Department of Clinical Chemistry Department of Clinical Physiology and Nuclear Medicine 2022-12-13 14 1277151 fulltext https://trepo.tuni.fi/handle/10024/150114 https://doi.org/10.1093/ije/dyac062 en eng 6 51 0300-5771 ORCID: /0000-0002-2555-4427/work/127679020 ORCID: /0000-0002-4510-7341/work/127680489 https://trepo.tuni.fi/handle/10024/150114 URN:NBN:fi:tuni-202307067126 doi:10.1093/ije/dyac062 This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited openAccess 3121 Internal medicine 1182 Biochemistry cell and molecular biology article 2022 ftunivtampere https://doi.org/10.1093/ije/dyac062 2023-12-14T00:09:14Z BACKGROUND: Quantification of metabolic changes over the human life course is essential to understanding ageing processes. Yet longitudinal metabolomics data are rare and long gaps between visits can introduce biases that mask true trends. We introduce new ways to process quantitative time-series population data and elucidate metabolic ageing trends in two large cohorts. METHODS: Eligible participants included 1672 individuals from the Cardiovascular Risk in Young Finns Study and 3117 from the Northern Finland Birth Cohort 1966. Up to three time points (ages 24-49 years) were analysed by nuclear magnetic resonance metabolomics and clinical biochemistry (236 measures). Temporal trends were quantified as median change per decade. Sample quality was verified by consistency of shared biomarkers between metabolomics and clinical assays. Batch effects between visits were mitigated by a new algorithm introduced in this report. The results below satisfy multiple testing threshold of P < 0.0006. RESULTS: Women gained more weight than men (+6.5% vs +5.0%) but showed milder metabolic changes overall. Temporal sex differences were observed for C-reactive protein (women +5.1%, men +21.1%), glycine (women +5.2%, men +1.9%) and phenylalanine (women +0.6%, men +3.5%). In 566 individuals with ≥+3% weight gain vs 561 with weight change ≤-3%, divergent patterns were observed for insulin (+24% vs -10%), very-low-density-lipoprotein triglycerides (+32% vs -6%), high-density-lipoprotein2 cholesterol (-6.5% vs +4.7%), isoleucine (+5.7% vs -6.0%) and C-reactive protein (+25% vs -22%). CONCLUSION: We report absolute and proportional trends for 236 metabolic measures as new reference material for overall age-associated and specific weight-driven changes in real-world populations. Peer reviewed Article in Journal/Newspaper Northern Finland Tampere University: Trepo International Journal of Epidemiology 51 6 1970 1983 |
institution |
Open Polar |
collection |
Tampere University: Trepo |
op_collection_id |
ftunivtampere |
language |
English |
topic |
3121 Internal medicine 1182 Biochemistry cell and molecular biology |
spellingShingle |
3121 Internal medicine 1182 Biochemistry cell and molecular biology Mäkinen, Ville-Petteri Karsikas, Mari Kettunen, Johannes Lehtimäki, Terho Kähönen, Mika Viikari, Jorma Perola, Markus Salomaa, Veikko Järvelin, Marjo-Riitta Raitakari, Olli T Ala-Korpela, Mika Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults |
topic_facet |
3121 Internal medicine 1182 Biochemistry cell and molecular biology |
description |
BACKGROUND: Quantification of metabolic changes over the human life course is essential to understanding ageing processes. Yet longitudinal metabolomics data are rare and long gaps between visits can introduce biases that mask true trends. We introduce new ways to process quantitative time-series population data and elucidate metabolic ageing trends in two large cohorts. METHODS: Eligible participants included 1672 individuals from the Cardiovascular Risk in Young Finns Study and 3117 from the Northern Finland Birth Cohort 1966. Up to three time points (ages 24-49 years) were analysed by nuclear magnetic resonance metabolomics and clinical biochemistry (236 measures). Temporal trends were quantified as median change per decade. Sample quality was verified by consistency of shared biomarkers between metabolomics and clinical assays. Batch effects between visits were mitigated by a new algorithm introduced in this report. The results below satisfy multiple testing threshold of P < 0.0006. RESULTS: Women gained more weight than men (+6.5% vs +5.0%) but showed milder metabolic changes overall. Temporal sex differences were observed for C-reactive protein (women +5.1%, men +21.1%), glycine (women +5.2%, men +1.9%) and phenylalanine (women +0.6%, men +3.5%). In 566 individuals with ≥+3% weight gain vs 561 with weight change ≤-3%, divergent patterns were observed for insulin (+24% vs -10%), very-low-density-lipoprotein triglycerides (+32% vs -6%), high-density-lipoprotein2 cholesterol (-6.5% vs +4.7%), isoleucine (+5.7% vs -6.0%) and C-reactive protein (+25% vs -22%). CONCLUSION: We report absolute and proportional trends for 236 metabolic measures as new reference material for overall age-associated and specific weight-driven changes in real-world populations. Peer reviewed |
author2 |
Tampere University Computing Sciences Clinical Medicine Department of Clinical Chemistry Department of Clinical Physiology and Nuclear Medicine |
format |
Article in Journal/Newspaper |
author |
Mäkinen, Ville-Petteri Karsikas, Mari Kettunen, Johannes Lehtimäki, Terho Kähönen, Mika Viikari, Jorma Perola, Markus Salomaa, Veikko Järvelin, Marjo-Riitta Raitakari, Olli T Ala-Korpela, Mika |
author_facet |
Mäkinen, Ville-Petteri Karsikas, Mari Kettunen, Johannes Lehtimäki, Terho Kähönen, Mika Viikari, Jorma Perola, Markus Salomaa, Veikko Järvelin, Marjo-Riitta Raitakari, Olli T Ala-Korpela, Mika |
author_sort |
Mäkinen, Ville-Petteri |
title |
Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults |
title_short |
Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults |
title_full |
Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults |
title_fullStr |
Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults |
title_full_unstemmed |
Longitudinal profiling of metabolic ageing trends in two population cohorts of young adults |
title_sort |
longitudinal profiling of metabolic ageing trends in two population cohorts of young adults |
publishDate |
2022 |
url |
https://trepo.tuni.fi/handle/10024/150114 https://doi.org/10.1093/ije/dyac062 |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_relation |
6 51 0300-5771 ORCID: /0000-0002-2555-4427/work/127679020 ORCID: /0000-0002-4510-7341/work/127680489 https://trepo.tuni.fi/handle/10024/150114 URN:NBN:fi:tuni-202307067126 doi:10.1093/ije/dyac062 |
op_rights |
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited openAccess |
op_doi |
https://doi.org/10.1093/ije/dyac062 |
container_title |
International Journal of Epidemiology |
container_volume |
51 |
container_issue |
6 |
container_start_page |
1970 |
op_container_end_page |
1983 |
_version_ |
1787427017779576832 |