Ville-Petteri Mäkinen

University of Oulu
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Articles (13)

Year:

2025

Background Accurate characterization of how age influences body weight and metabolism at different stages of life is important for understanding ageing processes. Here, we explore observational longitudinal associations between metabolic health and weight from the fifth to the seventh decade of life, using carefully adjusted statistical designs. Methods Body measures and biochemical data from blood and urine (220 measures) across two visits were available from 10 104 UK Biobank participants. Participants were divided into stable (within ±4% per decade), weight loss and weight gain categories. Final subgroups were metabolically matched at baseline (48% women, follow-up 4.3 years, ages 41–70; n = 3368 per subgroup) and further stratified by the median age of 59.3 years and sex. Results Pulse pressure, haemoglobin A1c and cystatin-C tracked ageing consistently (P < 0.0001). In women under 59, age-associated increases in citrate, pyruvate, alkaline phosphatase and calcium were observed along with adverse changes across lipoprotein measures, fatty acid species and liver enzymes (P < 0.0001). Principal component analysis revealed a qualitative sex difference in the temporal relationship between body weight and metabolism: weight loss was not associated with systemic metabolic improvement in women, whereas both age strata converged consistently towards beneficial (weight loss) or adverse (weight gain) phenotypes in men. Conclusions We report longitudinal ageing trends for 220 metabolic measures in absolute concentrations, many of which have not been described for older individuals before. Our results also revealed a fundamental dynamic sex divergence that we speculate is caused by menopause-driven metabolic deterioration in women.

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (12)

Blair Kelly

Deakin University

AUSTRALIA
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Sang Hong Lee

University of South Australia

AUSTRALIA
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Veikko Salomaa

Research Professor

National Institute for Health and Welfare

FINLAND
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Mika Kähönen

University of Tampere

FINLAND
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Deborah L. White

University of Adelaide

AUSTRALIA
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Jisu Shin

University of South Australia

AUSTRALIA
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Paul Cooper

A/Prof Health Informatics Management

Deakin University

AUSTRALIA
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bahareh Nakisa

lecturer of Applied Artificial Intelligence

Deakin University

AUSTRALIA
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Elina Hypponen

University of South Australia

AUSTRALIA
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Imran Muhammad

Lecturer

Flinders University School of Medicine

AUSTRALIA
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Mika Ala-Korpela

University of Oulu

FINLAND
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Sandeep Reddy

Associate Professor

Deakin University

AUSTRALIA
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