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Article

Identification and Validation of Iron Metabolism-Related Biomarkers in Endometriosis: A Mendelian Randomization and Single-Cell Transcriptomics Study

School of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
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Author to whom correspondence should be addressed.
Curr. Issues Mol. Biol. 2025, 47(10), 831; https://doi.org/10.3390/cimb47100831 (registering DOI)
Submission received: 4 September 2025 / Revised: 2 October 2025 / Accepted: 7 October 2025 / Published: 9 October 2025
(This article belongs to the Section Bioinformatics and Systems Biology)

Abstract

Studies have shown that the iron concentration in the peritoneal fluid of women is associated with the severity of endometriosis. Therefore, investigation of iron metabolism-related genes (IM-RGs) in endometriosis holds significant implications for both prevention and therapeutic strategies in affected patients. Differentially expressed IM-RGs (DEIM-RGs) were identified by intersecting IM-RGs with differentially expressed genes derived from GSE86534. Mendelian randomization analysis was employed to determine DEIM-RGs causally associated with endometriosis, with subsequent verification through sensitivity analyses and the Steiger test. Biomarkers associated with IM-RGs in endometriosis were validated using expression data from GSE86534 and GSE105764. Functional annotation, regulatory network construction, and immunological profiling were conducted for these biomarkers. Single-cell RNA sequencing (scRNA-seq) (GSE213216) was utilized to identify distinctively expressed cellular subsets between endometriosis and controls. Experimental validation of biomarker expression was performed via reverse transcription–quantitative polymerase chain reaction (RT-qPCR). BMP6 and SLC48A1, biomarkers indicative of cellular BMP response, were influenced by a medicus variant mutation that inactivated PINK1 in complex I, concurrently enriched by both biomarkers. The lncRNA NEAT1 regulated BMP6 through hsa-mir-22-3p and hsa-mir-124-3p, while SLC48A1 was modulated by hsa-mir-423-5p, hsa-mir-19a-3p, and hsa-mir-19b-3p. Immune profiling revealed a negative correlation between BMP6 and monocytes, whereas SLC48A1 displayed a positive correlation with activated natural killer cells. scRNA-seq analysis identified macrophages and stromal stem cells as pivotal cellular components in endometriosis, exhibiting altered self-communication networks. RT-qPCR confirmed elevated expression of BMP6 and SLC48A1 in endometriosis samples relative to controls. Both BMP6 and SLC48A1 were consistently overexpressed in endometriosis, reinforcing their potential as biomarkers. Moreover, macrophages and stromal stem cells were delineated as key contributors. These findings provide novel insights into therapeutic and preventive approaches for patients with endometriosis.
Keywords: endometriosis; iron metabolism; biomarkers; mendelian randomization analysis; single-cell RNA sequencing endometriosis; iron metabolism; biomarkers; mendelian randomization analysis; single-cell RNA sequencing

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MDPI and ACS Style

Du, J.; Lv, Z.; Luo, X. Identification and Validation of Iron Metabolism-Related Biomarkers in Endometriosis: A Mendelian Randomization and Single-Cell Transcriptomics Study. Curr. Issues Mol. Biol. 2025, 47, 831. https://doi.org/10.3390/cimb47100831

AMA Style

Du J, Lv Z, Luo X. Identification and Validation of Iron Metabolism-Related Biomarkers in Endometriosis: A Mendelian Randomization and Single-Cell Transcriptomics Study. Current Issues in Molecular Biology. 2025; 47(10):831. https://doi.org/10.3390/cimb47100831

Chicago/Turabian Style

Du, Juan, Zili Lv, and Xiaohong Luo. 2025. "Identification and Validation of Iron Metabolism-Related Biomarkers in Endometriosis: A Mendelian Randomization and Single-Cell Transcriptomics Study" Current Issues in Molecular Biology 47, no. 10: 831. https://doi.org/10.3390/cimb47100831

APA Style

Du, J., Lv, Z., & Luo, X. (2025). Identification and Validation of Iron Metabolism-Related Biomarkers in Endometriosis: A Mendelian Randomization and Single-Cell Transcriptomics Study. Current Issues in Molecular Biology, 47(10), 831. https://doi.org/10.3390/cimb47100831

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