Evidence map›Paper›PMID 40460050›Full record

ArticlePloS one2025

Analysis of the inflammatory gene expression characteristics and immune microenvironment regulatory mechanisms in the testicular tissue of patients with non-obstructive azoospermia.

Qiang Ling, Mingqi Liu, Wei Xu, Chunhua Liao, Guijian Pang

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qiang LingDepartment of Urology, The Sixth Affiliated Hospital of Guangxi Medical University, The First People's Hospital of Yulin, Yulin, Guangxi Zhuang Autonomous Region, China.
Mingqi LiuDepartment of Urology, The Sixth Affiliated Hospital of Guangxi Medical University, The First People's Hospital of Yulin, Yulin, Guangxi Zhuang Autonomous Region, China.
Wei XuDepartment of Urology, The Sixth Affiliated Hospital of Guangxi Medical University, The First People's Hospital of Yulin, Yulin, Guangxi Zhuang Autonomous Region, China.
Chunhua LiaoDepartment of Urology, The Sixth Affiliated Hospital of Guangxi Medical University, The First People's Hospital of Yulin, Yulin, Guangxi Zhuang Autonomous Region, China.
Guijian PangDepartment of Urology, The Sixth Affiliated Hospital of Guangxi Medical University, The First People's Hospital of Yulin, Yulin, Guangxi Zhuang Autonomous Region, China.ORCID https://orcid.org/0009-0003-4736-8478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to deepen understanding of the molecular mechanisms and key characteristic genes of non-obstructive azoospermia (NOA).

methodsA systematic retrieval method was used to collect the mRNA expression data of NOA and obstructive azoospermia (OA) samples from the GEO database. Data preprocessing, differential gene expression screening, functional annotation, and signal pathway enrichment analysis were conducted using R software. The differences in immune microenvironment between NOA and OA samples were compared through CIBERSORT analysis. LASSO and SVM-RFE, two machine learning algorithms, were applied to select NOA-related characteristic genes. Subsequently, our investigation further identified genes differentially expressed in NOA that are associated with inflammatory responses. NOA samples were clustered based on these inflammation-related genes, while molecular features between different types were explored through pathway enrichment analysis of gene set variation analysis (GSVA). Finally, potential traditional Chinese medicine components targeting these inflammation-related genes were screened from the Chinese medicine database, followed by drug-protein docking simulations.

resultsThe study identified 772 DEGs mainly involved in the generation and maturation of sperm. Immune microenvironment analysis revealed significant differences in the infiltration levels of resting NK cells and activated dendritic cells between NOA and OA samples. Eight NOA-related characteristic genes were identified through LASSO and SVM-RFE algorithms. Further analysis revealed that three inflammation-related genes, namely LAMP3, PROK2, and CD14, exhibited significant differential expression in samples of NOA and OA. After clustering of these NOA samples based on the three inflammation-related DEGs, GSVA pathway enrichment analysis revealed molecular features between different NOA subtypes. Finally, potential traditional Chinese medicine components targeting these inflammation-related genes were selected.

conclusionThis study revealed the key molecular mechanisms and characteristic genes of NOA, especially the role of inflammation-related genes, providing new therapeutic targets and directions for the treatment of NOA.

Indexed as

AzoospermiaInflammationTestisDatabases, GeneticGene Expression ProfilingGene Expression RegulationHumansMale

Identifiers

PMID40460050
PMCPMC12132964

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