Evidence map›Paper›PMID 41938534›Full record

ArticleFrontiers in cell and developmental biology2026

Integrating multi-omics and network toxicology to identify FIS1 as a key target of environmental pollutants in male infertility.

Qi Yu, Xi Wei, Jiang Shi, Wei Li, Yili Zhao, Qingtao Yang, Jun Qiao, Fa Sun, Tao Li

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 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

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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qi Yu *Department of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xi Wei *Department of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Jiang Shi *Department of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Wei LiDepartment of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yili ZhaoDepartment of Reproductive Center, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Qingtao YangDepartment of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Jun QiaoDepartment of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Fa SunDepartment of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Tao LiDepartment of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Male infertility (MI) impacts about one in seven couples globally, involving complex gene-environment interactions. Environmental pollutants may disrupt spermatogenesis via mitochondrial dysfunction, but key targets and mechanisms are unclear. Integrating multi-omics with computational toxicology offers a novel strategy to decipher these interactions. Methods: We integrated blood transcriptomics from MI patients, GWAS summary statistics, and QTL data (methylation, expression, protein). MI-related mitochondrial genes were identified through differential expression analysis, followed by enrichment and PPI network analysis. SMR approach was employed to assess genetic causality between molecular levels of genes and MI risk, using cis-QTLs as instrumental variables and applying the HEIDI test (p < 0.05) to distinguish pleiotropy from linkage. The candidate gene FIS1 was functionally validated Results: We identified 232 dysregulated mitochondrial genes in MI. SMR analysis revealed that FIS1 showed a consistent, significant protective association with MI risk across three molecular levels: DNA methylation (e.g., site cg19802458), gene expression, and plasma protein abundance. Clinical samples confirmed downregulated FIS1 expression in MI patients. Conclusion: By integrating multi-omics and computational toxicology, this study validates FIS1's causal protective role in male infertility, reveals its multi-level regulation, and predicts six targeting pollutants with preliminary experimental evidence. This framework offers new insights into gene-environment interactions and establishes a foundation for biomarker development and targeted interventions.

Indexed as

FIS1male infertilitymitochondrial dysfunctionreverse network toxicologysummary-data-based mendelian randomization analysis

Identifiers

PMID41938534
PMCPMC13044088

What Socratic holds

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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 Socratic graph.