Evidence map›Paper›PMID 41757175›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Integrated metabolomics and genetic analyses reveal loss of protective docosahexaenoic acid as a key driver linking ultra-processed food to Crohn's disease risk.

Sidan Wang, Lintao Dan, Xixian Ruan, Judith Wellens, Yuhao Sun, Jialu Yao, Li Tian, Rahul Kalla, Evropi Theodoratou, Shuai Yuan and 8 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Sidan WangDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-6506-9848
Lintao DanDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0001-5963-2772
Xixian RuanDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-4937-9168
Judith WellensDepartment of Gastroenterology and Hepatology, Leuven University Hospital, Leuven, Belgium.
Yuhao SunDepartment of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jialu YaoDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Li TianDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, China.
Rahul KallaMedical Research Council Centre for Inflammation Research, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Evropi TheodoratouCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.
Shuai YuanDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Susanna C LarssonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Jonas F LudvigssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Laurent Peyrin-BirouletDepartment of Gastroenterology and Inserm NGERE U1256, University Hospital of Nancy, University of Lorraine, Vandoeuvre-les-Nancy, France.
Jack SatsangiTranslational Gastro-Intestinal Unit, Nuffield Department of Medicine, John Radcliffe Hospital, Oxford, UK.
Fernando MagroCINTESIS@RISE Department, Faculdade de Medicina da Universidade do Porto, Porto, Portugal.
Xue LiDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xiaoyan WangDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, China.
Jie ChenDepartment of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-4029-4192

Funding

Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
NHLBI NIH HHS R01 HL036310NIA NIH HHS R01 AG013196
6 · The paper itself

Abstract

Objectives: To characterize ultra-processed food (UPF) circulating metabolic signatures associated with Crohn's disease (CD) and to localize key metabolic mediators linking UPF intake to CD risk. Design: Prospective cohort study. Setting: Two large multi-center cohorts (UK Biobank [UKB] and Whitehall II [WHII] study) across the UK and an Eastern multi-center cohort ONE-IBD Study from China. Participants: UK Biobank discovery cohort (n=10,229) for signature derivation, internal validation cohort (n=91,306), external validation cohort Whitehall-II (n=7,893), and three additional cohorts (two Western and ONE-IBD) for validation of key metabolic drivers. Main outcome measures: Primary outcomes were UPF-related circulating metabolic signatures and their associations with CD risk; secondary outcomes included evidence supporting causal roles of candidate metabolites and genetic pathways assessed by Mendelian randomization, colocalization, and gene-environment analysis. Results: A UPF metabolic signature of 73 metabolites was constructed and validated across cohorts (Spearman ρ: 0.20-0.25). More pronounced UPF metabolic signature was associated with increased CD risk (HR Conclusion: The adverse effects of UPF on CD risk may be driven by a relative deficiency of protective metabolites such as DHA, apart from additive harm to metabolic depletion. This reframes UPF-related risk and highlighting potential targets for precision nutrition in CD prevention.

Indexed as

Crohn’s diseasedietary metabolic responsedocosahexaenoic acidmetabolomicsUltra-processed food

Identifiers

PMID41757175
PMCPMC12934863

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.