Immune micro-environment analysis and drug screening for ovarian endometriosis

Genes & genomics · 2024 · vol. 46(7) , pp. 803–815 · doi:10.1007/s13258-024-01497-8 · PMID:38776050
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This study identified decreased NK cell infiltration and increased M2 macrophage polarization in ovarian endometriosis, pinpointing key genes and pathways involved and screening potential therapeutic drugs.

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This paper analyzed ovarian endometriosis by comparing ectopic ovarian endometrial tissue (OVE) with eutopic endometrium from endometriosis patients (PE) and tissue from non-endometriosis controls (CON) using mRNA sequencing, weighted gene co-expression network analysis (WGCNA), immune-cell deconvolution (CIBERSORT), and single-cell analysis. Seven immune-cell-infiltration–associated key genes were identified, with lower expression in OVE than in PE and CON; pathway enrichment pointed to NK cell-mediated cytotoxicity, particularly CD16+CD56dim NK cells. The study found reduced NK cell infiltration in ovarian endometriosis alongside increased M2 macrophages, and single-cell data showed the seven key genes were also lower in NK cells and monocyte–macrophages within OVE. A major limitation is that drug suitability was assessed computationally using pRRophetic rather than validated experimentally. This paper is centrally about endometriosis — it focuses specifically on the immune micro-environment and immune-cell gene signatures in ovarian endometriosis.

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Abstract

BACKGROUND: Patients of ovary endometriosis have an abnormal immune micro-environment, leading to endometrial tissue that from retrograde menstruation evade immune surveillance and subsequently develop into ectopic lesions. OBJECTIVE: This study aims to elucidate the crucial immune cells and molecular pathways that are associated with an aberrant immune micro-environment of endometriosis. METHOD: In this study, we identified differentially expressed genes between ovarian ectopic endometrial tissue (OVE) and eutopic endometrial tissue from patients with endometriosis (PE) and non-endometriosis patients (CON) by analyzing the mRNA sequencing data. Additionally, we used WGCNA(Weighted Gene Co-expression Network Analysis) to screen for key genes related to immune cell infiltration and compared the sub-types of infiltrating immune cells using CIBERSORT(cell-type identification by estimating relative subsets of RNA transcript). Subsequently, we conducted a single-cell analysis on the identified key genes. Furthermore, we analyzed potential drugs suitable for ovarian endometriosis treatment using pRRophertic. RESULTS: Seven key genes associated with immune cell infiltration were screened out. The expression of these genes in OVE was significantly lower than that in PE and CON. These key genes were mainly enriched in the NK cell-mediated cytotoxicity pathway, especially for CD16 + CD56dim NK. Moreover, NK cells infiltration in ovarian endometriosis was significantly reduced compared with PE and CON, while M2 macrophage shown the opposite. Results of the single-cell analysis showed that the expression of the seven key genes in NK cells and monocyte-macrophages in OVE was significantly lower than that in PE or CON. Additionally, we identified potential drugs suitable for ovarian endometriosis treatment. CONCLUSION: The decreased infiltration of NK cells and increased infiltration of M2 macrophages contribute to the evasion of immune surveillance against endometrial tissue, promoting the progression of OVE. Therefore, potential strategies for the treatment of OVE include increasing NK cell activation and decreasing M2 macrophage polarization.
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Abstract

Background Patients of ovary endometriosis have an abnormal immune micro-environment, leading to endometrial tissue that from retrograde menstruation evade immune surveillance and subsequently develop into ectopic lesions.

Objective

This study aims to elucidate the crucial immune cells and molecular pathways that are associated with an aberrant immune micro-environment of endometriosis.

Method

In this study, we identified differentially expressed genes between ovarian ectopic endometrial tissue (OVE) and eutopic endometrial tissue from patients with endometriosis (PE) and non-endometriosis patients (CON) by analyzing the mRNA sequencing data. Additionally, we used WGCNA(Weighted Gene Co-expression Network Analysis) to screen for key genes related to immune cell infiltration and compared the sub-types of infiltrating immune cells using CIBERSORT(cell-type identification by estimating relative subsets of RNA transcript). Subsequently, we conducted a single-cell analysis on the identified key genes. Furthermore, we analyzed potential drugs suitable for ovarian endometriosis treatment using pRRophertic.

Results

Seven key genes associated with immune cell infiltration were screened out. The expression of these genes in OVE was significantly lower than that in PE and CON. These key genes were mainly enriched in the NK cell-mediated cytotoxicity pathway, especially for CD16 + CD56dim NK. Moreover, NK cells infiltration in ovarian endometriosis was significantly reduced compared with PE and CON, while M2 macrophage shown the opposite. Results of the single-cell analysis showed that the expression of the seven key genes in NK cells and monocyte-macrophages in OVE was significantly lower than that in PE or CON. Additionally, we identified potential drugs suitable for ovarian endometriosis treatment.

Conclusion

The decreased infiltration of NK cells and increased infiltration of M2 macrophages contribute to the evasion of immune surveillance against endometrial tissue, promoting the progression of OVE. Therefore, potential strategies for the treatment of OVE include increasing NK cell activation and decreasing M2 macrophage polarization. Similar content being viewed by others

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Additional information Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary Information Below is the link to the electronic supplementary material. Rights and permissions Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. About this article Cite this article Quan, Q., Gu, H., Wang, Y. et al. Immune micro-environment analysis and drug screening for ovarian endometriosis. Genes Genom 46, 803–815 (2024). https://doi.org/10.1007/s13258-024-01497-8 Received: Accepted: Published: Version of record: Issue date: DOI: https://doi.org/10.1007/s13258-024-01497-8

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endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis

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