Diagnostic accuracy of serum miR-23a-3p, miR-150, and miR-150-5p for diabetic osteoporosis in adults with type 2 diabetes: a retrospective single-center cohort study

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Authors: Huan-Shan Hong, Da-qing Zhu, Li-Hui Kang, Yu-Meng Zhou, Rui-Qiong Ke
Cited by: 1
References: 35

Abstract

BACKGROUND: Diabetic osteoporosis (DOP) is a frequently under-recognized complication of type 2 diabetes (T2D). This study evaluated the association and diagnostic performance of serum miR-23a-3p, miR-150, and miR-150-5p for identifying DOP in adults with T2D. METHODS: A single-center retrospective cohort included 225 adults with T2D (DOP, n = 57; non-DOP, n = 168). Serum microRNAs were quantified by qRT-PCR. Independent associations with DOP were assessed using multivariable logistic regression. Discrimination was evaluated by ROC analysis for each miRNA and a combined model, and calibration was examined. RESULTS: Compared with the non-DOP group, the DOP group was older, had a longer diabetes duration, and had higher fasting plasma glucose and HbA1c (all P < 0.05). Serum miR-23a-3p, miR-150, and miR-150-5p levels were higher in DOP (all P < 0.001) and remained independently associated with DOP (miR-23a-3p: OR 3.71; miR-150: OR 5.32; miR-150-5p: OR 9.57). The AUCs were 0.77 (miR-23a-3p), 0.88 (miR-150), and 0.80 (miR-150-5p). The combined model achieved an AUC of 0.95 with 0.95 sensitivity and 0.82 specificity, with good calibration. CONCLUSIONS: Serum miR-23a-3p, miR-150, and miR-150-5p were independently associated with DOP, and their combined assessment showed excellent diagnostic discrimination. External validation and analytical standardization are required before this panel can be considered for clinical application.

Fields of Study & Subjects

MicroRNA in disease regulation Bone health and osteoporosis research Bone Metabolism and Diseases

Publication details

Journal / source
European journal of medical research
Publisher
Springer Science and Business Media LLC
Volume
31
Issue
1
Pages
291–291
Publication date
19 January 2026
Language
EN