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2000
Volume 32, Issue 38
  • ISSN: 0929-8673
  • E-ISSN: 1875-533X

Abstract

Aim

We aimed to explore diagnostic biomarkers of postmenopausal osteoporosis (PMOP).

Background

PMOP brings enormous physical and economic burden to elderly women.

Objectives

This study aims to screen new biomarkers for osteoporosis, providing insights for early diagnosis and therapeutic targets of osteoporosis.

Methods

Weighted gene co-expression network analysis (WGCNA) was applied to identify osteoporosis-related hub genes. Single-cell transcriptomic atlas of osteoporosis was depicted and the heterogeneity of monocytes was analyzed, based on which the biomarkers for osteoporosis were screened. Gene set enrichment analysis (GSEA) was conducted on the biomarkers. The diagnostic model (nomogram) was established and evaluated based on the expression levels of biomarkers. Additionally, the transcription factor (TF) regulatory network was constructed to predict the potential TF and targeted miRNA of biomarkers. The drugs with significant correlation with biomarkers were identified by Spearman correlation analysis.

Results

We obtained 30 osteoporosis-associated hub genes. 9 cell types were identified, and the monocytes were subdivided to 4 subtypes. Three biomarkers, , , and , were screened. and were highly expressed in non-classical monocytes, while exhibited the highest expression in other monocytes, followed by non-classical monocytes. GSEA indicated that osteoporosis may be correlated with vascular calcification and the biomarkers may be involved in the formation of immune cells. Then, nomogram was constructed and exhibited good robustness. In addition, MYC and SETDB1 were the shared IF in three biomarkers, which may play critical regulatory roles in the progression of osteoporosis. Moreover, 41, 49, and 68 drugs appeared significant correlations with , , and , respectively.

Conclusion

This study provided a basis for early diagnosis and targeted treatment of osteoporosis.

© 2025 Bentham Science Publishers
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2025-11-01

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Integrated Single-cell RNA-seq and Bulk RNA-seq Identify Diagnostic Biomarkers for Postmenopausal Osteoporosis
Curr. Med. Chem. 32, 8720 (2025); https://doi.org/10.2174/0109298673343344240930054414
/content/journals/cmc/10.2174/0109298673343344240930054414
/content/journals/cmc/10.2174/0109298673343344240930054414
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  • Article Type:     Research Article
Keyword(s): biomarkers; diagnosis; monocytes; Postmenopausal osteoporosis; single-cell RNA-Seq analysis; transcription factor

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