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
  • [41] Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
    Liu, Xiaojie
    Peng, Ting
    Xu, Miaochun
    Lin, Shitong
    Hu, Bai
    Chu, Tian
    Liu, Binghan
    Xu, Yashi
    Ding, Wencheng
    Li, Li
    Cao, Canhui
    Wu, Peng
    JOURNAL OF HEMATOLOGY & ONCOLOGY, 2024, 17 (01)
  • [42] Aging Biomarkers: From Functional Tests to Multi-Omics Approaches
    Kudryashova, Ksenia S.
    Burka, Ksenia
    Kulaga, Anton Y.
    Vorobyeva, Nataliya S.
    Kennedy, Brian K.
    PROTEOMICS, 2020, 20 (5-6)
  • [43] Identifying Cancer Biomarkers with Single-Cell Multi-Omics
    Genetic Engineering and Biotechnology News, 2021, 41 (07): : 48 - 53
  • [44] Integration of multi-omics technologies for crop improvement: Status and prospects
    Zhang, Ru
    Zhang, Cuiping
    Yu, Chengyu
    Dong, Jungang
    Hu, Jihong
    FRONTIERS IN BIOINFORMATICS, 2022, 2
  • [45] Advances in multi-omics study of biomarkers of glycolipid metabolism disorder
    Fang, Xinyi
    Miao, Runyu
    Wei, Jiahua
    Wu, Haoran
    Tian, Jiaxing
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2022, 20 : 5935 - 5951
  • [46] Multi-omics profiling approaches to biomarker discovery in bipolar disorder
    Bahn, S.
    Alsaif, M.
    Rahmoune, H.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2012, 22 : S120 - S120
  • [47] Single-cell sequencing to multi-omics: technologies and applications
    Wu, Xiangyu
    Yang, Xin
    Dai, Yunhan
    Zhao, Zihan
    Zhu, Junmeng
    Guo, Hongqian
    Yang, Rong
    BIOMARKER RESEARCH, 2024, 12 (01)
  • [48] ELUCIDATING THE ETMR MICROENVIRONMENT USING SPATIAL MULTI-OMICS TECHNOLOGIES
    Liapis, Evangelos
    Pamreddy, Annapurna
    O'Neill, Kelly
    Maas, Allison
    Hanson, Derek
    Carter, Claire
    NEURO-ONCOLOGY, 2023, 25
  • [49] Multi-omics data integration for the identification of biomarkers for bull fertility
    Costes, Valentin
    Sellem, Eli
    Marthey, Sylvain
    Hoze, Chris
    Bonnet, Aurelie
    Schibler, Laurent
    Kiefer, Helene
    Jaffrezic, Florence
    PLOS ONE, 2024, 19 (02):
  • [50] Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets
    Wu, Lei
    Xie, Xinqiang
    Liang, Tingting
    Ma, Jun
    Yang, Lingshuang
    Yang, Juan
    Li, Longyan
    Xi, Yu
    Li, Haixin
    Zhang, Jumei
    Chen, Xuefeng
    Ding, Yu
    Wu, Qingping
    BIOMOLECULES, 2022, 12 (01)