Evidence map›Paper›PMID 42206849›Full record

ArticlemSystems2026

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

Angelica P Ahrens, Raquel Dias, Tuulia Hyötyläinen, Pär Anderson White, Matej Orešič, Eric W Triplett, Johnny Ludvigsson

Abstract read
In one paragraph

Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Angelica P AhrensDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, College of Agricultural and Life Sciences, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-1478-7559
Raquel DiasDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, College of Agricultural and Life Sciences, University of Florida, Gainesville, Florida, USA.
Tuulia HyötyläinenSchool of Science and Technology, Örebro University, Örebro, Sweden.
Pär Anderson WhiteCrown Princess Victoria Children's Hospital and Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Matej OrešičSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Eric W TriplettDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, College of Agricultural and Life Sciences, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-1845-4866
Johnny LudvigssonCrown Princess Victoria Children's Hospital and Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.

Funding

HORIZON EUROPE European Innovation Council 101094099HORIZON EUROPE European Institute of Innovation and Technology 101094099
6 · The paper itself

Abstract

Childhood obesity is rising globally. Yet, few studies have examined the microbiome and proteome in early childhood in relation to this outcome, and most are cross-sectional by design. Early-life factors in the ABIS birth cohort ( IMPORTANCE: 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.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaObesityPediatric ObesityProteomeProteomicsAdultBiomarkersChild, PreschoolDevelopmental Origins of Health and DiseaseFemaleFollow-Up StudiesHumansInfantLongitudinal StudiesProspective StudiesBiomarkersProteomeANGPTL4bile acidscarbohydratesdiabetesenvironmental toxinsFGF19inflammationmachine learningmetabolic diseasemetabolomemicrobiomepregnancySULT2A1

Identifiers

PMID42206849
PMCPMC13289108

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.