Evidence map›Paper›PMID 42137132›Full record

ArticleGastroenterology and hepatology from bed to bench2025

Unraveling genetic signatures: the impact of SNPs on therapy response in inflammatory bowel disease patients.

Nesa Kazemifard, Masomeh Askari, Leila Navapour, Anahita Tajik, Mina Faraji, Arvand Akbari, Navid Mogharrab, Shaghayegh Baradaran Ghavami, Hamid Asadzadeh Aghdaei

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Article in Gastroenterology and hepatology from bed to bench, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Nesa KazemifardGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Masomeh AskariGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Leila NavapourBiophysics and Computational Biology Laboratory (BCBL), Department of Biology, College of Sciences, Shiraz University, Shiraz, Iran.
Anahita TajikGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mina FarajiGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Arvand AkbariDepartment of Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, Oregon, USA.
Navid MogharrabBiophysics and Computational Biology Laboratory (BCBL), Department of Biology, College of Sciences, Shiraz University, Shiraz, Iran.
Shaghayegh Baradaran GhavamiGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamid Asadzadeh AghdaeiGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammatory bowel disease (IBD) is a chronic condition characterized by immune dysregulation and intestinal inflammation, with anti-tumor necrosis factor α (anti-TNFα) therapies being a key treatment strategy. However, therapeutic responses vary across patients due to genetic factors, necessitating the identification of predictive biomarkers to optimize outcomes. This study employs bioinformatic approaches to investigate the deleterious effects of SNPs in IBD-associated genes, focusing on the structural implications of Method: The study utilized a systematic literature review to identify genes influencing drug response in IBD, followed by SNP detection. SNPs were filtered based on population frequencies using global databases (gnomAD, ExAC) and Iranome for region-specific data. Structural and functional impacts of missense variants were evaluated using in silico tools and protein domain analysis via InterPro and UniProt. Additionally, molecular dynamics simulation indicated structural changes in HFE gene variants, RNA-seq data analyzed differential gene expression, and miRNASNP-v3 predicted miRNA binding site alterations in 3' UTR regions. Result: A comprehensive bioinformatics approach identified 41 key IBD drug response genes contributing to cellular pathways, with 69 coding sequence SNPs and 27 3'-UTR SNPs selected for analysis. Coding SNPs, including ABCB1 and Conclusion: This study explores genetic variations influencing anti-TNF therapy responses in IBD patients. Polymorphisms like

Indexed as

Anti-TNF therapyBioinformaticsDrug responseHFEIBDMolecular dynamics simulationSNPTNFRSF1B

Identifiers

PMID42137132
PMCPMC13081423

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