Evidence map›Paper›PMID 39592890›Full record

ArticleDiabetes, obesity & metabolism2025

Network Mendelian randomisation analysis deciphers protein pathways linking type 2 diabetes and gastrointestinal disease.

Jiawei Geng, Xixian Ruan, Xing Wu, Xuejie Chen, Tian Fu, Dipender Gill, Stephen Burgess, Jie Chen, Jonas F Ludvigsson, Susanna C Larsson and 3 more

Abstract read
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Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Jiawei GengZhejiang Key Laboratory of Blood-Stasis-Toxin Syndrome, Zhejiang Chinese Medical University, Hangzhou, China.ORCID 0000-0002-7622-2692
Xixian RuanDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Xing WuDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Xuejie ChenDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Tian FuDepartment of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Stephen BurgessMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Jie ChenZhejiang Key Laboratory of Blood-Stasis-Toxin Syndrome, Zhejiang Chinese Medical University, Hangzhou, China.
Jonas F LudvigssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Susanna C LarssonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-0118-0341
Xue LiDepartment of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhongyan DuZhejiang Key Laboratory of Blood-Stasis-Toxin Syndrome, Zhejiang Chinese Medical University, Hangzhou, China.
Shuai YuanUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

Funding

BHF Centre of Research Excellence RE/18/4/34215National Natural Science Foundation of China 82004353National Natural Science Foundation of China 82204019Science Fund for Distinguished Young Scholars of Zhejiang Province LR22H260001Swedish Cancer SocietySwedish Heart Lung Foundation 20210351Swedish Research Council 2019-00977UK Research and Innovation Medical Research Council MC_UU_00002/7Wellcome TrustWellcome Trust and the Royal Society 204623/Z/16/Z
6 · The paper itself

Abstract

aimsThe molecular mechanisms underlying the association between type 2 diabetes (T2D) and gastrointestinal (GI) disease are unclear. To identify protein pathways, we conducted a two-stage network Mendelian randomisation (MR) study. MATERIALS AND

methodsGenetic instruments for T2D were obtained from a large-scale summary-level genome-wide meta-analysis. Genetic associations with blood protein levels were obtained from three genome-wide association studies on plasma proteins (i.e. the deCODE study as the discovery and the UKB-PPP and Fenland studies as the replication). Summary-level data on 10 GI diseases were derived from genome-wide meta-analysis of the UK Biobank and FinnGen. MR and colocalisation analyses were performed. Pathways were constructed according to the directionality of total and indirect effects, and corresponding proportional mediation was estimated. Druggability assessments were conducted across four databases to prioritise protein mediators.

resultsGenetic liability to T2D was associated with 69 proteins in the discovery protein dataset after multiple testing corrections. All associations were replicated at the nominal significance level. Among T2D-associated proteins, genetically predicted levels of nine proteins were associated with at least one of the GI diseases. Genetically predicted levels of SULT2A1 (odds ratio = 1.98, 95% CI 1.80-2.18), and ADH1B (odds ratio = 2.05, 95% CI 1.43-2.94) were associated with cholelithiasis and cirrhosis respectively. SULT2A1 and cholelithiasis (PH4 = 0.996) and ADH1B and cirrhosis (PH4 = 0.931) have strong colocalisation support, accounting for the mediation proportion of 72.8% (95% CI 45.7-99.9) and 42.9% (95% CI 15.5-70.4) respectively.

conclusionsThe study identified some proteins mediating T2D-GI disease associations, which provided biological insights into the underlying pathways.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal DiseasesGenetic Predisposition to DiseaseGenome-Wide Association StudyMendelian Randomization AnalysisAlcohol DehydrogenaseBlood ProteinsHumansPolymorphism, Single NucleotideSulfotransferasesADH1B protein, humanAlcohol DehydrogenaseBlood ProteinsSulfotransferasesdrug targetgastrointestinal diseasesMendelian randomisationprotein biomarkertype 2 diabetes

Identifiers

PMID39592890
PMCPMC7617254

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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 OpenQuestion graph.