Evidence map›Paper›PMID 39009667›Full record

ArticleScientific reports2024

Integrating plasma proteomics with genome-wide association data to identify novel drug targets for inflammatory bowel disease.

Zhongyuan Bai, Jiawei Hao, Miaoran Chen, Kaixin Yao, Leilei Zheng, Liu Liu, Jingxi Hu, Kaiqing Guo, Yongqiang Lv, Feng Li

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

10 authors.

Zhongyuan Bai *First Clinical Medical School, Shanxi Medical University, Taiyuan, China.
Jiawei Hao *Ministry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Miaoran Chen *Ministry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Kaixin YaoMinistry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Leilei ZhengMinistry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Liu LiuMinistry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Jingxi HuMinistry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China.
Kaiqing GuoHepatobiliary Pancreatogastric Surgery, Shanxi Province Cancer Hospital, Taiyuan, China. Doctorgkq@163.com.
Yongqiang LvShanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Taiyuan, China. lyq820529@163.com.
Feng LiShanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Taiyuan, China. lifenglover@sina.com.

Funding

Key Project of Health Commission of Shanxi Province 2022XM28
6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) is a chronic disease that includes Crohn's disease (CD) and ulcerative colitis (UC). Although genome-wide association studies (GWASs) have identified many relevant genetic risk loci, the impact of these loci on protein abundance and their potential utility as clinical therapeutic targets remain uncertain. Therefore, this study aimed to investigate the pathogenesis of IBD and identify effective therapeutic targets through a comprehensive and integrated analysis. We systematically integrated GWAS data related to IBD, UC and CD (N = 25,305) by the study of de Lange KM with the human blood proteome (N = 7213) by the Atherosclerosis Risk in Communities (ARIC) study. Proteome-wide association study (PWAS), mendelian randomisation (MR) and Bayesian colocalisation analysis were used to identify proteins contributing to the risk of IBD. Integrative analysis revealed that genetic variations in IBD, UC and CD affected the abundance of five (ERAP2, RIPK2, TALDO1, CADM2 and RHOC), three (VSIR, HGFAC and CADM2) and two (MST1 and FLRT3) cis-regulated plasma proteins, respectively (P < 0.05). Among the proteins identified via Bayesian colocalisation analysis, CADM2 was found to be an important common protein between IBD and UC. A drug and five druggable target genes were identified from DGIdb after Bayesian colocalisation analysis. Our study's findings from genetic and proteomic approaches have identified compelling proteins that may serve as important leads for future functional studies and potential drug targets for IBD (UC and CD).

Indexed as

Bayes TheoremGenome-Wide Association StudyInflammatory Bowel DiseasesProteomicsBlood ProteinsColitis, UlcerativeCrohn DiseaseGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideProteomeBlood ProteinsProteomeCrohn’s diseaseInflammatory bowel diseaseMendelian randomisationProteome-wide association studyUlcerative colitis

Identifiers

PMID39009667
PMCPMC11250821

What Socratic holds

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Registered trials

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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 Socratic graph.