Evidence map›Paper›PMID 41593604›Full record

ArticleThrombosis journal2026

An integrative analysis of genetic factors reveals dysregulation of cytokines, immune signaling, and T cell activity as the underlying immune mechanisms in autoimmune immune thrombocytopenia.

Pratyusha Patidar, Tulika Prakash

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Article in Thrombosis journal, 2026. 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Pratyusha PatidarSchool of Biosciences and Bioengineering, Indian Institute of Technology (IIT), Mandi, HP, 175005, India.ORCID http://orcid.org/0000-0002-9021-2626
Tulika PrakashSchool of Biosciences and Bioengineering, Indian Institute of Technology (IIT), Mandi, HP, 175005, India. tulika@iitmandi.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune thrombocytopenia (ITP) is an autoimmune disorder characterized by immune-mediated platelet destruction, leading to an abnormally reduced platelet count. While numerous susceptibility genomic loci have been identified, the genetic mechanisms and pathways driving ITP remain poorly understood. This limits treatment options to broad immunosuppressants that increase patient vulnerability.

objectiveThis study aims to uncover the functional and biological significance of ITP-associated genetic variations by integrating bioinformatics approaches. It seeks to identify functional SNPs, key immune pathways, and potential drug targets to enhance understanding of ITP pathogenesis and support the development of targeted therapies.

methodsAn integrative bioinformatics approach was employed to identify expression quantitative trait loci (eQTL) and pathogenic SNPs, reconstruct protein-protein interaction (PPI) networks, perform gene ontology analysis, and explore potential drug targets.

resultsThe study identified 60 eQTL and 6 pathogenic SNPs associated with ITP, along with over 300 gene ontology processes. 14 hub genes in the PPI network were linked to key immune mechanisms, including T cell dysfunction (CD40, CTLA4, FOXP3, IL-10, IL-4, TBX21), cytokine dysregulation (IFNG, IL-6, IL-10, IL-4, TNF-α, TGFB1), JAK/STAT signaling (JAK2, STAT1, STAT3), and pattern-recognition (TLR4). TNF-α emerged as the top-ranked hub gene. Additionally, several platelet related genes (HPA2, MPL, PRKCA, PTPN11, and others) were implicated in the analysis.

conclusionFunctional SNPs and hub genes identified in this study serve as potential biomarkers for ITP diagnosis and prognosis. Cytokine pathways and T cell subsets were highlighted as central players in ITP pathogenesis. The drug-gene interaction analysis further suggests potential therapeutic avenues through drug repurposing, offering insights into novel treatment strategies.

Indexed as

AutoimmunityCytokinesExpression quantitative trait loci (eQTL)Immune thrombocytopenia (ITP)Single nucleotide polymorphism (SNP)T cell dysfunction

Identifiers

PMID41593604
PMCPMC12918271

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