Evidence map›Paper›PMID 41300749›Full record

ArticleGenes2025

Integrative Bioinformatics Analysis Reveals Key Regulatory Genes and Therapeutic Targets in Ulcerative Colitis Pathogenesis.

Sheikh Atikur Rahman, Mst Tania Khatun, Mahendra Singh, Viplov Kumar Biswas, Forkanul Hoque, Nurun Nesa Zaman, Anzana Parvin, Mohammad Khaja Mafij Uddin, Md Mominul Islam Sheikh, Most Morium Begum and 2 more

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Sheikh Atikur RahmanDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia 7003, Bangladesh.
Mst Tania KhatunDepartment of Pharmacy, Faculty of Biological Sciences, Islamic University, Kushtia 7003, Bangladesh.
Mahendra SinghDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Viplov Kumar BiswasDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Whitehead Biomedical Research, 615 Michael Street, Atlanta, GA 30322, USA.ORCID 0000-0003-3030-0242
Forkanul HoqueDepartment of Pharmacy, Faculty of Biological Sciences, Islamic University, Kushtia 7003, Bangladesh.
Nurun Nesa ZamanDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia 7003, Bangladesh.
Anzana ParvinDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia 7003, Bangladesh.
Mohammad Khaja Mafij UddinInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Dhaka 1212, Bangladesh.
Md Mominul Islam SheikhNano Project Group, Research & Development Institute, Moorim P&P Co., Ltd., Ulju-gun, Ulsan 45011, Republic of Korea.ORCID 0009-0004-6290-5064
Most Morium BegumDepartment of Agriculture, Rabindra Maitree University, Kushtia 7000, Bangladesh.
Rakesh AryaDepartment of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0003-2089-0891
Hossain Md FaruqueeDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia 7003, Bangladesh.ORCID 0000-0002-7596-8441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUlcerative colitis (UC), a chronic and relapsing form of inflammatory bowel disease (IBD), arises from a multifactorial interplay of genetic predisposition, immune dysregulation, and environmental triggers. Despite advances in understanding UC pathogenesis, the identification of reliable biomarkers and key regulatory genes remains essential for unraveling disease mechanisms. Such insights are crucial for improving diagnostic precision and developing personalized therapeutic strategies.

methodsIn this study, gene expression profiles from publicly available microarray and RNA-sequencing datasets were systematically analyzed using advanced bioinformatics tools. Differentially expressed genes (DEGs) were identified through statistical comparisons, and functional enrichment analyses were performed to explore their biological relevance. A total of 141 overlapping DEGs were extracted from three GEO datasets, and 20 key DEGs were further prioritized via protein-protein interaction (PPI) network construction. Hub genes, relevant signaling pathways, associated transcription factors (TFs), and microRNAs (miRNAs) linked to disease progression were identified. Potential therapeutic compounds were also predicted through computational drug-gene interaction analysis.

resultsThe analysis revealed a panel of novel biomarkers-TLR2, IFNG, CD163, CXCL9, CCL4, PRF1, TLR8, ARG1, LILRB2, FPR2, and PPARG-that function as key hub genes implicated in ulcerative colitis (UC) pathogenesis. These genes were associated with critical biological processes including signal transduction, inflammatory and immune responses, proteolysis, lipid transport, and cholesterol/triglyceride homeostasis. Furthermore, transcription factors (FOXC1, GABPA, GATA2, SUPT5H) and microRNAs (hsa-miR-34a-5p, hsa-miR-335-5p, hsa-miR-24-3p, hsa-miR-23a-5p, hsa-miR-26a-5p) revealed key regulatory networks influencing post-transcriptional gene regulation. Molecular docking analysis predicted Apremilast and Golotimod as promising therapeutic candidates for UC intervention.

conclusionsIn conclusion, this study enhances our understanding of ulcerative colitis pathogenesis by identifying key biomarkers and therapeutic targets, paving the way for future advancements in personalized diagnosis and treatment strategies.

Indexed as

Colitis, UlcerativeComputational BiologyGene Regulatory NetworksBiomarkersGene Expression ProfilingGene Expression RegulationHumansMicroRNAsProtein Interaction MapsTranscription FactorsTranscriptomeBiomarkersMicroRNAsTranscription Factorsbioinformaticsbiomarkersdiagnosisdrug candidateshub genesimmune responsemolecular dockingnetwork analysisulcerative colitis

Identifiers

PMID41300749
PMCPMC12652001

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.