Early-life proteomic and microbiome features signal obesity risk across 26 years of follow-up

  • Ahrens A
  • Dias R
  • Hyötyläinen T
  • et al.
0Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Understanding the origins of obesity is critical for developing preventive strategies, and early life represents a particularly sensitive window. This study leverages a large, general-population cohort with prospectively collected data, including parental body mass index (BMI), cord blood proteomics, and the gut microbiome at age one, linked to obesity outcomes over 26 years. Using integrated machine learning models, we show that in addition to parental BMI, specific proteomic and microbial markers present in infancy can predict long-term obesity risk, highlighting the role of early metabolic programming. Several key markers point to bile acid signaling as a mechanism connecting early microbiome development with fat accumulation and insulin regulation. By identifying these early-life predictors long before obesity manifests, these results provide new insights into intergenerational risk and suggest measurable targets for preventing obesity and related metabolic disorders from the earliest stages of life.

Cite

CITATION STYLE

APA

Ahrens, A. P., Dias, R., Hyötyläinen, T., White, P. A., Orešič, M., Triplett, E. W., & Ludvigsson, J. (2026). Early-life proteomic and microbiome features signal obesity risk across 26 years of follow-up. MSystems, 11(6). https://doi.org/10.1128/msystems.01424-25

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free