Evidence map›Paper›PMID 42568110›Full record

ArticleJournal of cellular and molecular medicine2026

Single-Cell RNA Sequencing Revealed the Role of Interferon-Gamma Related Genes in Primary Sjögren's Syndrome.

Lei Shi, Tian-Chi Wei, Jing Zhang

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 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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0citing papers 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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

3 authors.

Lei ShiDepartment of Rheumatology and Immunology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Tian-Chi WeiShanxi Medical University, Taiyuan, China.ORCID 0009-0000-9852-9276
Jing ZhangDepartment of Clinical Laboratory, The Second Hospital of Shanxi Medical University, Taiyuan, China.ORCID 0000-0002-4010-9452

Funding

GSE157278 GEOGSE48378 GEOGSE84844 GEO
6 · The paper itself

Abstract

Primary Sjögren's syndrome (pSS) is a chronic autoimmune disorder. Dysregulated interferon-gamma (IFN-γ) signalling is implicated in pSS pathogenesis, yet the underlying mechanisms remain elusive. This study aimed to identify key IFN-γ-associated diagnostic genes and delineate their roles in immune dysregulation using peripheral blood transcriptomic and single-cell RNA sequencing (scRNA-seq) data. Publicly available Gene Expression Omnibus (GEO) datasets were used, and the bioinformatics findings were further supported by reverse transcription-quantitative PCR (RT-qPCR) validation. Peripheral blood transcriptomic data from training and validation cohorts were analysed, and key genes were screened using machine learning algorithms, receiver operating characteristic (ROC) curve analysis, and differential expression analysis. A diagnostic model and nomogram were subsequently constructed. Immune infiltration, pathway enrichment, and gene regulatory networks were also investigated, while scRNA-seq analysis was performed to characterize cellular heterogeneity, pseudotime trajectories, and cell-cell communication. Four key genes, HERC6, IL15, CD58 and PTGS2, were identified, and the resulting diagnostic model and nomogram demonstrated high diagnostic accuracy. Immune profiling revealed marked dysregulation of the immune microenvironment in pSS, accompanied by extensive alterations in metabolic and signalling pathways. Pathway enrichment analysis further demonstrated both distinct and shared functional roles of the four key genes. Single-cell analysis suggested that macrophages may act as central regulators in pSS pathogenesis, as evidenced by altered pseudotime trajectories, enrichment in early differentiation states, and intensified cell-cell communication networks. RT-qPCR further confirmed the significant upregulation of HERC6, IL15, and PTGS2 in patients with pSS. Collectively, this study established an IFN-γ-associated diagnostic model for pSS and implicated macrophages as potential key contributors to immune dysregulation through altered differentiation, enhanced intercellular communication, and IFN-γ-associated gene expression. These findings provide new insights into the pathogenesis of pSS and identify potential diagnostic biomarkers and therapeutic targets.

Indexed as

Interferon-gammaSingle-Cell AnalysisSjogren's SyndromeComputational BiologyGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansSequence Analysis, RNASingle-Cell Gene Expression AnalysisTranscriptomeInterferon-gammadiagnostic modelinterferon‐gammamacrophage heterogeneityprimary Sjögren's syndromesingle‐cell RNA sequencing

Identifiers

PMID42568110
PMCPMC13451524

What OpenQuestion 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 OpenQuestion graph.