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ArticleCurrent medicinal chemistry2025

Integrated Transcriptome and Proteome Analyses Reveal Differentially Expressed Genes and Proteins in Granulosa Cells from Female Patients with Metabolic Syndrome-associated Infertility.

Fangli Dong, Wanjun Zhang, Bo Sun, Wenbin Niu, Jun Zhai, Yihong Guo, Fang Wang

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Article in Current medicinal chemistry, 2025. 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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5 · Who and what money

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7 authors.

Fangli DongCenter of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.
Wanjun ZhangCenter of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.
Bo SunCenter of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.
Wenbin NiuCenter of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.
Jun ZhaiCenter of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.
Yihong GuoCenter of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.
Fang WangCenter of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China.

Funding

National Natural Science Foundation of China 82201832
6 · The paper itself

Abstract

backgroundMetabolic Syndrome (MS) is a cluster of conditions that significantly increase the risk of infertility in women. Granulosa cells are crucial for ovarian folliculogenesis and fertility. Understanding molecular alterations in these cells can provide insights into MS-associated infertility.

objectiveThis study aimed to investigate Differentially Expressed Genes (DEGs) and Proteins (DEPs) in granulosa cells from female patients with MS-associated infertility.

methodsTranscriptome and proteome analyses were integrated to compare granulosa cells from three MS patients with infertility to three control subjects. RNA sequencing and quantitative proteomics analyses were conducted, followed by differential expression analysis, Gene Set Enrichment Analysis (GSEA), and Protein-protein Interaction (PPI) network construction. Functional enrichment of overlapping DEGs and DEPs and potential drug-protein interactions were also explored. Hub genes identified by PPI were validated via quantitative Polymerase Chain Reaction (qPCR) and western blot assays.

resultsPrincipal Component Analysis (PCA) demonstrated a distinct separation between MS and control groups, indicating significant differences in gene and protein expression. A total of 1,046 upregulated and 23 downregulated DEGs, along with 222 upregulated and 412 downregulated DEPs, were identified in the MS group. GSEA highlighted enrichment in processes, like the cell cycle and immune response. Venn diagram revealed 71 overlapping DEGs and DEPs, mainly related to immune regulation. Key hub proteins and potential therapeutic candidates were identified, with hub genes upregulated at the mRNA level, but downregulated at the protein level in granulosa cells of MS patients.

conclusionThe integrative analyses revealed significant molecular alterations in granulosa cells from MS patients with infertility. Identified DEGs, DEPs, and hub proteins suggested potential therapeutic targets and pathways for addressing MS-associated infertility.

Indexed as

Granulosa CellsInfertility, FemaleMetabolic SyndromeProteomeTranscriptomeAdultFemaleGene Expression ProfilingHumansProtein Interaction MapsProteomicsProteomegranulosa cellshub proteins.infertilityMetabolic syndromeproteomicstranscriptomics

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