Bioinformatics-Based Identification of Platelet-Related Genes and Analysis of Immune Infiltration Landscape in Endometriosis

article OA: closed CC0
AI-generated summary by claude@2026-06, 2026-06-13

Bioinformatics identified six platelet-related hub genes (CD40, CSRP1, FLNA, C1GALT1C1, EIF2AK1, PTMA) that were highly diagnostic for endometriosis and correlated with immune cell infiltration differences.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-06, 2026-06-13 · read from full text

This study used two endometriosis gene expression datasets (GSE7305 and GSE51981) to identify differentially expressed genes, intersect them with platelet-related genes to screen platelet-related DEGs, and then performed functional enrichment, hub-gene selection via two machine learning algorithms, and ROC-based diagnostic evaluation. It reports six platelet-related hub genes (CD40, CSRP1, FLNA, C1GALT1C1, EIF2AK1, and PTMA) with high diagnostic specificity for endometriosis, alongside higher infiltration of most immune cell types in endometriosis compared with controls, including activated B cells, MDSCs, macrophages, mast cells, monocytes, NK cells, neutrophils, T follicular helper cells, and Th1 cells, with lower activated CD4 T cells and immature dendritic cells. Correlation analyses were used to connect hub gene expression with immune infiltration patterns. The paper’s major limitation is that it is based on bioinformatics inference from public transcriptomic datasets rather than independent experimental validation. This paper is centrally about endometriosis — it identifies platelet-related hub genes and links them to the immune infiltration landscape in endometriosis.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

BACKGROUND: Endometriosis is an estrogen-dependent inflammatory disease that is the leading cause of dysmenorrhea, infertility, and pelvic pain in women. A growing body of evidence has demonstrated that platelets may play an important role in its pathophysiology. Therefore, using bioinformatics analysis, we sought to determine the possible role of platelet-related genes in endometriosis and immune infiltration. METHODS: GSE7305 and GSE51981 were used to identify differentially expressed genes (DEGs) in endometriosis. By crossing DEGs with platelet-related genes, the platelet-related DEGs were screened. Functional enrichment analyses were conducted. Then, the hub genes were identified using two machine algorithms, and receiver operating characteristic (ROC) curves were generated. Finally, the immune infiltration landscape and its connection with hub genes in endometriosis were assessed. RESULTS: Six platelet-related hub genes (CD40, CSRP1, FLNA, C1GALT1C1, EIF2AK1, and PTMA) were screened out, and these genes showed high diagnostic specificity for endometriosis. Most immune cells exhibited higher infiltration levels in endometriosis. The abundance of activated B cells, myeloid-derived suppressor cells (MDSCs), macrophages, mast cells, monocytes, natural killer (NK) cells, neutrophils, T follicular helper cells, and type 1 T helper (Th1) cells in the endometriosis group was significantly higher than that in the control group, while activated CD4 T cells and immature dendritic cells were considerably less abundant. Correlation analysis revealed a link between hub genes and immune infiltration. CONCLUSIONS: Six hub platelet-related genes were identified and correlated with immune infiltration in endometriosis. Our research suggested that platelets may regulate the immune microenvironment of the endometriosis through signaling pathways involved in these genes, thereby contributing to its development and progression of endometriosis. These findings increase our understanding of endometriosis and may provide promising targets for disease treatment.
Full text 2,117 characters · extracted from oa-doi-fallback · 4 sections · click to expand

Background

Endometriosis is an estrogen-dependent inflammatory disease that is the leading cause of dysmenorrhea, infertility, and pelvic pain in women. A growing body of evidence has demonstrated that platelets may play an important role in its pathophysiology. Therefore, using bioinformatics analysis, we sought to determine the possible role of platelet-related genes in endometriosis and immune infiltration.

Methods

GSE7305 and GSE51981 were used to identify differentially expressed genes (DEGs) in endometriosis. By crossing DEGs with platelet-related genes, the platelet-related DEGs were screened. Functional enrichment analyses were conducted. Then, the hub genes were identified using two machine algorithms, and receiver operating characteristic (ROC) curves were generated. Finally, the immune infiltration landscape and its connection with hub genes in endometriosis were assessed.

Results

Six platelet-related hub genes (CD40, CSRP1, FLNA, C1GALT1C1, EIF2AK1, and PTMA) were screened out, and these genes showed high diagnostic specificity for endometriosis. Most immune cells exhibited higher infiltration levels in endometriosis. The abundance of activated B cells, myeloid-derived suppressor cells (MDSCs), macrophages, mast cells, monocytes, natural killer (NK) cells, neutrophils, T follicular helper cells, and type 1 T helper (Th1) cells in the endometriosis group was significantly higher than that in the control group, while activated CD4 T cells and immature dendritic cells were considerably less abundant. Correlation analysis revealed a link between hub genes and immune infiltration.

Conclusions

Six hub platelet-related genes were identified and correlated with immune infiltration in endometriosis. Our research suggested that platelets may regulate the immune microenvironment of the endometriosis through signaling pathways involved in these genes, thereby contributing to its development and progression of endometriosis. These findings increase our understanding of endometriosis and may provide promising targets for disease treatment. DOI: 10.7754/Clin.Lab.2025.241004 |

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosisdysmenorrheainfertility

MeSH descriptors

Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets Blood Platelets

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

SciLite annotations

chemicals 1
estrogen
organisms 1
noordeloos 2009062

Source provenance

europepmc
last seen: 2026-06-24T06:10:11.469335+00:00
openalex
last seen: 2026-06-10T17:14:06.276822+00:00
pubmed
last seen: 2026-06-24T06:06:49.429464+00:00
scilite
last seen: 2026-05-18T04:57:49.680383+00:00
License: CC0 · commercial use OK