Evidence map›Paper›PMID 40768833›Full record

ArticleEBioMedicine2025

Sex-stratified metabolic signatures of adiposity indices and their associations with clinical biomarkers in the UK Biobank.

Christos K Papagiannopoulos, Georgios Markozannes, Christos V Chalitsios, Sofia Christakoudi, Marc J Gunter, Laure Dossus, Richard M Martin, Ioanna Tzoulaki, Christopher Papandreou, Konstantinos K Tsilidis

Abstract read
In one paragraph

Article in EBioMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

10 authors.

Christos K PapagiannopoulosDepartment of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece.
Georgios MarkozannesDepartment of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Christos V ChalitsiosDepartment of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece.
Sofia ChristakoudiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Marc J GunterDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.
Laure DossusNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.
Richard M MartinPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; NIHR Bristol Biomedical Research Centre, Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom.
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
Christopher PapandreouDepartment of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece; Department of Nutrition and Dietetics Sciences, School of Health Sciences, Hellenic Mediterranean University, Sitia, Crete, Greece; Clinical and Epidemiological Neuroscience (NeuroÈpia), Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
Konstantinos K TsilidisDepartment of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. Electronic address: k.tsilidis@imperial.ac.uk.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundExcessive adiposity increases disease risk, however, the metabolic processes underlying these associations remain incompletely understood.

methodsWe compared metabolic signatures (MSs) of adiposity indices (non-allometric: body fat %, waist circumference, hip circumference, waist-to-hip ratio, body mass index; allometric: a body shape index [ABSI], hip index [HI], waist-to-HI ratio) by sex and examined their cross-sectional associations with 29 clinical biomarkers in 151,526 UK Biobank participants. MSs performance was validated in an independent cohort.

findingsIn females, MSs mainly consisted of lipoprotein particle concentrations, apolipoproteins, fatty acids and inflammation-linked glycoprotein acetyls, whereas in males lipoproteins rich in cholesteryl esters and aromatic/branched-chain amino acids predominated. The highest percentages of common metabolites were observed between non-allometric adiposity indices (median: 42.4%; range: 9%-56%). MSs were independently associated with over 25 biomarkers with differences observed by sex and adiposity index, and these associations were stronger compared to the respective phenotypic associations.

interpretationMS

fundingThis work was supported by Cancer Research UK (grant number C18281/A29019).

Indexed as

AdiposityBiomarkersMetabolomeMetabolomicsAdultAgedBiological Specimen BanksBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesitySex FactorsUK BiobankBiomarkersAdiposityBiomarkersEpidemiologyMachine learningMetabolomicsUK Biobank

Identifiers

PMID40768833
PMCPMC12789707

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.