1
|
Lv N, Zhou Z, He S, Shao X, Zhou X, Feng X, Qian Z, Zhang Y, Liu M. Identification of osteoporosis based on gene biomarkers using support vector machine. Open Med (Wars) 2022; 17:1216-1227. [PMID: 35859791 PMCID: PMC9263892 DOI: 10.1515/med-2022-0507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 04/19/2022] [Accepted: 05/15/2022] [Indexed: 11/26/2022] Open
Abstract
Osteoporosis is a major health concern worldwide. The present study aimed to identify effective biomarkers for osteoporosis detection. In osteoporosis, 559 differentially expressed genes (DEGs) were enriched in PI3K-Akt signaling pathway and Foxo signaling pathway. Weighted gene co-expression network analysis showed that green, pink, and tan modules were clinically significant modules, and that six genes (VEGFA, DDX5, SOD2, HNRNPD, EIF5B, and HSP90B1) were identified as “real” hub genes in the protein–protein interaction network, co-expression network, and 559 DEGs. The sensitivity and specificity of the support vector machine (SVM) for identifying patients with osteoporosis was 100%, with an area under curve of 1 in both training and validation datasets. Our results indicated that the current system using the SVM method could identify patients with osteoporosis.
Collapse
Affiliation(s)
- Nanning Lv
- Department of Orthopedic Surgery, The Second People's Hospital of Lianyungang, Lianyungang, Jiangsu 222003, China
| | - Zhangzhe Zhou
- Department of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215000, China
| | - Shuangjun He
- Department of Orthopedic Surgery, Affiliated Danyang Hospital of Nantong University, The People's Hospital of Danyang, Danyang, Jiangsu 212300, China
| | - Xiaofeng Shao
- Department of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215000, China
| | - Xinfeng Zhou
- Department of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215000, China
| | - Xiaoxiao Feng
- Department of Orthopedic Surgery, The Second People's Hospital of Lianyungang, Lianyungang, Jiangsu 222003, China
| | - Zhonglai Qian
- Department of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215000, China
| | - Yijian Zhang
- Department of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215000, China
| | - Mingming Liu
- Department of Orthopedic Surgery, The Second People's Hospital of Lianyungang, Lianyungang, Jiangsu 222003, China
| |
Collapse
|
2
|
Kerschan-Schindl K, Hackl M, Boschitsch E, Föger-Samwald U, Nägele O, Skalicky S, Weigl M, Grillari J, Pietschmann P. Diagnostic Performance of a Panel of miRNAs (OsteomiR) for Osteoporosis in a Cohort of Postmenopausal Women. Calcif Tissue Int 2021; 108:725-737. [PMID: 33427926 PMCID: PMC8166674 DOI: 10.1007/s00223-020-00802-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 12/17/2020] [Indexed: 12/03/2022]
Abstract
A specific signature of 19 circulating miRNAs (osteomiRs) has been reported to be associated with fragility fractures due to postmenopausal osteoporosis. However, it is unknown whether osteoporotic fractures or low BMD phenotypes are independently contributing to changes in osteomiR serum levels. The first aim was to characterize the abundance, sensitivity to hemolysis, and correlation of osteomiR serum levels, the second objective to evaluate the diagnostic accuracy of osteomiRs for osteoporosis according to the WHO criteria and on basis of major osteoporotic fracture history. Fifty postmenopausal women with osteoporosis (with or without fragility fracture) and 50 non-osteoporotic women were included in this cross-sectional study. The diagnostic performance of osteomiRs for osteoporosis based on the WHO definition or fracture history was evaluated using multiple logistic regression and receiver-operator curve (AUC) analysis. The osteomiR® signature is composed of four clusters of miRNAs providing good performance for the diagnosis of osteoporosis in postmenopausal women defined by WHO criteria (AUC = 0.830) and based on history of major osteoporotic fractures (AUC = 0.834). The classification performance for the WHO criteria and for fracture risk is driven by miR-375 and miR-203a, respectively. OsteomiRs, a signature of 19 emerging miRNA bone biomarkers, are measurable in human serum samples. They constitute a panel of independent bone and muscle biomarkers, which in combination could serve as diagnostic biomarkers for osteoporosis in postmenopausal women.
Collapse
Affiliation(s)
- K Kerschan-Schindl
- Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Vienna, Austria.
| | - M Hackl
- TAmiRNA GmbH, Vienna, Austria
- Austrian Cluster for Tissue Regeneration, Vienna, Austria
| | - E Boschitsch
- KLIMAX Menopause and Osteoporosis Clinic, Vienna, Austria
| | - U Föger-Samwald
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - O Nägele
- KLIMAX Menopause and Osteoporosis Clinic, Vienna, Austria
| | | | - M Weigl
- TAmiRNA GmbH, Vienna, Austria
- Austrian Cluster for Tissue Regeneration, Vienna, Austria
| | - J Grillari
- Austrian Cluster for Tissue Regeneration, Vienna, Austria
- Christian Doppler Laboratory for Biotechnology of Skin Aging, Department of Biotechnology, BOKU - University of Natural Resources and Life Sciences Vienna, Vienna, Austria
- Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, 1220, Vienna, Austria
| | - P Pietschmann
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| |
Collapse
|