Discovery of potential biomarkers for osteoporosis diagnosis by individual omics and multi-omics technologies

被引:4
|
作者
Yang, Jing [1 ]
Wu, Jun [1 ,2 ]
机构
[1] Peking Univ, Beijing Jishuitan Hosp, Dept Clin Lab Med, Beijing, Peoples R China
[2] Peking Univ, Beijing Jishuitan Hosp, Dept Clin Lab Med, Beijing 100035, Peoples R China
关键词
Osteoporosis; multi-omics analysis; DNA methylation; microRNA; LncRNA; m6A; BONE-MINERAL DENSITY; POSTMENOPAUSAL OSTEOPOROSIS; BIOCHEMICAL MARKERS; TURNOVER MARKERS; DNA METHYLATION; FRACTURE RISK; HIP FRACTURE; IDENTIFICATION; ASSOCIATION; MICRORNAS;
D O I
10.1080/14737159.2023.2208750
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
IntroductionGlobal aging has made osteoporosis an increasingly serious public health problem. Osteoporotic fractures seriously affect the quality of life of patients and increase disability and mortality rates. Early diagnosis is important for timely intervention. The continuous development of individual- and multi-omics methods is helpful for the exploration and discovery of biomarkers for the diagnosis of osteoporosis.Areas coveredIn this review, we first introduce the epidemiological status of osteoporosis and then describe the pathogenesis of osteoporosis. Furthermore, the latest progress in individual- and multi-omics technologies for exploring biomarkers for osteoporosis diagnosis is summarized. Moreover, we clarify the advantages and disadvantages of the application of osteoporosis biomarkers obtained using the omics method. Finally, we put forward valuable views on the future research direction of diagnostic biomarkers of osteoporosis.Expert opinionOmics methods undoubtedly provide greatly contribute to the exploration of diagnostic biomarkers of osteoporosis; however, in the future, the clinical validity and clinical utility of the obtained potential biomarkers should be thoroughly examined. In addition, the improvement and optimization of the detection methods for different types of biomarkers and standardization of the detection process guarantee the reliability and accuracy of the detection results.
引用
收藏
页码:505 / 520
页数:16
相关论文
共 50 条
  • [1] From 'Omics to Multi-omics Technologies: the Discovery of Novel Causal Mediators
    Mohammadi-Shemirani, Pedrum
    Sood, Tushar
    Pare, Guillaume
    CURRENT ATHEROSCLEROSIS REPORTS, 2023, 25 (02) : 55 - 65
  • [2] From ‘Omics to Multi-omics Technologies: the Discovery of Novel Causal Mediators
    Pedrum Mohammadi-Shemirani
    Tushar Sood
    Guillaume Paré
    Current Atherosclerosis Reports, 2023, 25 : 55 - 65
  • [3] Multi-Omics Technologies Applied to Tuberculosis Drug Discovery
    Goff, Aaron
    Cantillon, Daire
    Wildner, Leticia Muraro
    Waddell, Simon J.
    APPLIED SCIENCES-BASEL, 2020, 10 (13):
  • [4] Potential Biomarkers for Liver Cancer Diagnosis Based on Multi-Omics Strategy
    Chen, Fanghua
    Wang, Junming
    Wu, Yingcheng
    Gao, Qiang
    Zhang, Shu
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [5] Integration of multi-omics technologies for molecular diagnosis in ataxia patients
    Audet, Sebastien
    Triassi, Valerie
    Gelinas, Myriam
    Legault-Cadieux, Nab
    Ferraro, Vincent
    Duquette, Antoine
    Tetreault, Martine
    FRONTIERS IN GENETICS, 2024, 14
  • [6] Applying multi-omics techniques to the discovery of biomarkers for acute aortic dissection
    Hao, Xinyu
    Cheng, Shuai
    Jiang, Bo
    Xin, Shijie
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [7] Multi-omics molecular biomarkers and database of osteoarthritis
    Li, Jianhua
    Yang, Xiaotian
    Chu, Qinjie
    Xie, Lingjuan
    Ding, Yuwen
    Xu, Xiaoxu
    Timko, Michael P.
    Fan, Longjiang
    DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2022, 2022
  • [8] Multi-omics approaches for biomarker discovery in early ovarian cancer diagnosis
    Xiao, Yinan
    Bi, Meiyu
    Guo, Hongyan
    Li, Mo
    EBIOMEDICINE, 2022, 79
  • [9] Applications of Multi-Omics Technologies for Crop Improvement
    Yang, Yaodong
    Saand, Mumtaz Ali
    Huang, Liyun
    Abdelaal, Walid Badawy
    Zhang, Jun
    Wu, Yi
    Li, Jing
    Sirohi, Muzafar Hussain
    Wang, Fuyou
    FRONTIERS IN PLANT SCIENCE, 2021, 12
  • [10] An overview of multi-omics technologies in rheumatoid arthritis: applications in biomarker and pathway discovery
    Gong, Xiangjin
    Su, Lanqian
    Huang, Jinbang
    Liu, Jie
    Wang, Qinglai
    Luo, Xiufang
    Yang, Guanhu
    Chi, Hao
    FRONTIERS IN IMMUNOLOGY, 2024, 15