Gao Jie, Zhang Xiuzhen, Ding Jing, Zhang Houli, Zhang Xu, Jiang Juan, Chen Wenwen
Department of Pharmacy, the Second Affiliated Hospital of Shandong First Medical University, Tai'an, China.
Department of Stomatology, the Second Affiliated Hospital of Shandong First Medical University, Tai'an, China.
Front Endocrinol (Lausanne). 2024 Dec 16;15:1481649. doi: 10.3389/fendo.2024.1481649. eCollection 2024.
To evaluate the characteristics of the circulating microRNA expression profiles in patients with osteoporosis.
A systematic literature search was performed using the Web of Science, PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP, and WANFANG databases from inception until 1 March 2024. The search strategy employed keywords, encompassing "osteoporosis", "bone loss", or "osteopenia" and "miRNA" or "microRNA". The Newcastle-Ottawa Scale (NOS) quality assessment scale was used to evaluate the methodological quality. Heterogeneity tests and statistical analyses of all data were performed by Stata 16.0. The differences in microRNA levels between groups were illustrated by the weighted mean difference (WMD) and 95% confidence interval (95% CI).
A total of 27 studies were included and analyzed in the meta-analysis, with 2,263 participants. The results showed that (WMD 0.88, 95% CI: 0.22 to 1.55), (WMD 6.63, 95% CI: 0.19 to 13.08), (WMD 6.43, 95% CI: 3.26 to 9.61), (WMD 1.43, 95% CI: 1.39 to 1.47), (WMD 1, 95% CI: 0.28 to 1.72), and (WMD 2.03, 95% CI: 0.14 to 3.92) were significantly upregulated, and (WMD -0.57, 95% CI: -0.98 to -0.17) was significantly downregulated.
, , , , , , and might serve as potential diagnostic biomarkers for osteoporosis. In the future, integrating these miRNAs to build a diagnostic model might be a promising diagnosis strategy for osteoporosis.
评估骨质疏松症患者循环微小RNA表达谱的特征。
使用Web of Science、PubMed、Embase、Cochrane图书馆、中国知网（CNKI）、维普（VIP）和万方数据库进行系统文献检索，检索时间从建库至2024年3月1日。检索策略采用关键词，包括“骨质疏松症”“骨质流失”或“骨质减少”以及“miRNA”或“微小RNA”。采用纽卡斯尔-渥太华量表（NOS）质量评估量表评估方法学质量。所有数据的异质性检验和统计分析均使用Stata 16.0进行。组间微小RNA水平的差异用加权平均差（WMD）和95%置信区间（95%CI）表示。
荟萃分析共纳入并分析了27项研究，涉及2263名参与者。结果显示，（WMD 0.88，95%CI：0.22至1.55）、（WMD 6.63，95%CI：0.19至13.08）、（WMD 6.43，95%CI：3.26至9.61）、（WMD 1.43，95%CI：1.39至1.47）、（WMD 1，95%CI：0.28至1.72）和（WMD 2.03，95%CI：0.14至3.92）显著上调，而（WMD -0.57，95%CI：-0.98至-0.17）显著下调。
、、、、、、和可能作为骨质疏松症的潜在诊断生物标志物。未来，整合这些微小RNA构建诊断模型可能是一种有前景的骨质疏松症诊断策略。
