Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women
<b>Objective</b>: Postmenopausal osteoporosis (PMOP), a chronic systemic metabolic disease prevalent in middle-aged and elderly women, heavily relies on bone mineral density (BMD) measurement as the diagnostic indicator. In this study, we investigated serum microRNAs (miRNAs) as a possib...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/12/11/2872 |
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| author | Sheng-Li Zhao Zhen-Xing Wen Xiao-Yi Mo Xiao-Yan Zhang Hao-Nan Li Wing-Hoi Cheung Dan Fu Shi-Hong Zhang Yong Wan Bai-Ling Chen |
| author_facet | Sheng-Li Zhao Zhen-Xing Wen Xiao-Yi Mo Xiao-Yan Zhang Hao-Nan Li Wing-Hoi Cheung Dan Fu Shi-Hong Zhang Yong Wan Bai-Ling Chen |
| author_sort | Sheng-Li Zhao |
| collection | DOAJ |
| description | <b>Objective</b>: Postmenopausal osteoporosis (PMOP), a chronic systemic metabolic disease prevalent in middle-aged and elderly women, heavily relies on bone mineral density (BMD) measurement as the diagnostic indicator. In this study, we investigated serum microRNAs (miRNAs) as a possible screening tool for PMOP. <b>Methods</b>: This investigation recruited 83 eligible participants from 795 community-dwelling postmenopausal women between June 2020 and August 2021. The miRNA expression profiles in the serum of PMOP patients were evaluated via miRNA microarray (six PMOP patients and four postmenopausal women without osteoporosis (n-PMOP) as controls). Subsequently, results were verified in independent sample sets (47 PMOP patients and 26 n-PMOP controls) using quantitative real-time PCR. In addition, the target genes and main functions of the differentially expressed miRNAs were explored by bioinformatics analysis. <b>Results</b>: Four highly expressed miRNAs in the serum of patients (hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p) showed acceptable disease-independent discrimination performance (area under the curve range: 0.747–0.902) in the training set and verification set, outperforming traditional bone turnover markers. Among four key miRNAs, hsa-miR-144-5p is the only one that can simultaneously predict changes in BMD in lumbar spine 1–4, total hip, and femoral neck (<i>β</i> = −0.265, <i>p</i> = 0.022; <i>β</i> = −0.301, <i>p</i> = 0.005; and <i>β</i> = −0.324, <i>p</i> = 0.003, respectively). Bioinformatics analysis suggested that the differentially expressed miRNAs were targeted mainly to <i>YY1</i>, <i>VIM</i>, and <i>YWHAE</i> genes, which are extensively involved in bone metabolism processes. <b>Conclusions</b>: Bone-metabolism-related serum miRNAs, such as hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p, can be used as novel biomarkers for PMOP diagnosis independent of radiological findings and traditional bone turnover markers. Further study of these miRNAs and their target genes may provide new insights into the epigenetic regulatory mechanisms of the onset and progression of the disease. |
| first_indexed | 2024-03-09T18:24:02Z |
| format | Article |
| id | doaj.art-fe88f94f55c940feb15f3f4fb7a9f4e9 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T18:24:02Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-fe88f94f55c940feb15f3f4fb7a9f4e92023-11-24T08:05:38ZengMDPI AGDiagnostics2075-44182022-11-011211287210.3390/diagnostics12112872Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly WomenSheng-Li Zhao0Zhen-Xing Wen1Xiao-Yi Mo2Xiao-Yan Zhang3Hao-Nan Li4Wing-Hoi Cheung5Dan Fu6Shi-Hong Zhang7Yong Wan8Bai-Ling Chen9Department of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, ChinaDepartment of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, ChinaDepartment of Orthopaedics, Guangzhou First People’s Hospital, Guangzhou 510180, ChinaDepartment of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, ChinaDepartment of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, ChinaDepartment of Orthopaedics and Traumatology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR 999077, ChinaDepartment of Orthopedics, Kiang Wu Hospital, Macau SAR 999078, ChinaDepartment of Laboratry Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, ChinaDepartment of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, ChinaDepartment of Spine Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China<b>Objective</b>: Postmenopausal osteoporosis (PMOP), a chronic systemic metabolic disease prevalent in middle-aged and elderly women, heavily relies on bone mineral density (BMD) measurement as the diagnostic indicator. In this study, we investigated serum microRNAs (miRNAs) as a possible screening tool for PMOP. <b>Methods</b>: This investigation recruited 83 eligible participants from 795 community-dwelling postmenopausal women between June 2020 and August 2021. The miRNA expression profiles in the serum of PMOP patients were evaluated via miRNA microarray (six PMOP patients and four postmenopausal women without osteoporosis (n-PMOP) as controls). Subsequently, results were verified in independent sample sets (47 PMOP patients and 26 n-PMOP controls) using quantitative real-time PCR. In addition, the target genes and main functions of the differentially expressed miRNAs were explored by bioinformatics analysis. <b>Results</b>: Four highly expressed miRNAs in the serum of patients (hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p) showed acceptable disease-independent discrimination performance (area under the curve range: 0.747–0.902) in the training set and verification set, outperforming traditional bone turnover markers. Among four key miRNAs, hsa-miR-144-5p is the only one that can simultaneously predict changes in BMD in lumbar spine 1–4, total hip, and femoral neck (<i>β</i> = −0.265, <i>p</i> = 0.022; <i>β</i> = −0.301, <i>p</i> = 0.005; and <i>β</i> = −0.324, <i>p</i> = 0.003, respectively). Bioinformatics analysis suggested that the differentially expressed miRNAs were targeted mainly to <i>YY1</i>, <i>VIM</i>, and <i>YWHAE</i> genes, which are extensively involved in bone metabolism processes. <b>Conclusions</b>: Bone-metabolism-related serum miRNAs, such as hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p, can be used as novel biomarkers for PMOP diagnosis independent of radiological findings and traditional bone turnover markers. Further study of these miRNAs and their target genes may provide new insights into the epigenetic regulatory mechanisms of the onset and progression of the disease.https://www.mdpi.com/2075-4418/12/11/2872postmenopausal osteoporosisserummicroRNAdiagnosisepigenetics |
| spellingShingle | Sheng-Li Zhao Zhen-Xing Wen Xiao-Yi Mo Xiao-Yan Zhang Hao-Nan Li Wing-Hoi Cheung Dan Fu Shi-Hong Zhang Yong Wan Bai-Ling Chen Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women Diagnostics postmenopausal osteoporosis serum microRNA diagnosis epigenetics |
| title | Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women |
| title_full | Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women |
| title_fullStr | Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women |
| title_full_unstemmed | Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women |
| title_short | Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women |
| title_sort | bone metabolism related serum micrornas to diagnose osteoporosis in middle aged and elderly women |
| topic | postmenopausal osteoporosis serum microRNA diagnosis epigenetics |
| url | https://www.mdpi.com/2075-4418/12/11/2872 |
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