Literature DB >> 33427926

Diagnostic Performance of a Panel of miRNAs (OsteomiR) for Osteoporosis in a Cohort of Postmenopausal Women.

K Kerschan-Schindl1, M Hackl2,3, E Boschitsch4, U Föger-Samwald5, O Nägele4, S Skalicky2, M Weigl2,3, J Grillari3,6,7, P Pietschmann5.   

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.

Entities:  

Keywords:  Bone biomarker; Fragility fracture: circulating microRNA; Postmenopausal osteoporosis; osteomiR

Year:  2021        PMID: 33427926     DOI: 10.1007/s00223-020-00802-3

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  38 in total

Review 1.  Circulating microRNAs as novel biomarkers for bone diseases - Complex signatures for multifactorial diseases?

Authors:  Matthias Hackl; Ursula Heilmeier; Sylvia Weilner; Johannes Grillari
Journal:  Mol Cell Endocrinol       Date:  2015-10-23       Impact factor: 4.102

Review 2.  Therapeutic potential of microRNAs in osteoporosis function by regulating the biology of cells related to bone homeostasis.

Authors:  Wenhua Zhao; Gengyang Shen; Hui Ren; Xiang Yu; Zhida Zhang; Jinjing Huang; Ting Qiu; Jingjing Tang; Qi Shang; Peiyuan Yu; Zixian Wu; Xiaobing Jiang
Journal:  J Cell Physiol       Date:  2018-08-05       Impact factor: 6.384

3.  Plasma miRNA levels correlate with sensitivity to bone mineral density in postmenopausal osteoporosis patients.

Authors:  Hongqiu Li; Zhe Wang; Qin Fu; Jing Zhang
Journal:  Biomarkers       Date:  2014-09-18       Impact factor: 2.658

4.  Differentially circulating miRNAs after recent osteoporotic fractures can influence osteogenic differentiation.

Authors:  Sylvia Weilner; Susanna Skalicky; Benjamin Salzer; Verena Keider; Michael Wagner; Florian Hildner; Christian Gabriel; Peter Dovjak; Peter Pietschmann; Regina Grillari-Voglauer; Johannes Grillari; Matthias Hackl
Journal:  Bone       Date:  2015-05-28       Impact factor: 4.398

5.  An estimate of the worldwide prevalence, mortality and disability associated with hip fracture.

Authors:  O Johnell; J A Kanis
Journal:  Osteoporos Int       Date:  2004-05-04       Impact factor: 4.507

6.  Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study.

Authors:  S C E Schuit; M van der Klift; A E A M Weel; C E D H de Laet; H Burger; E Seeman; A Hofman; A G Uitterlinden; J P T M van Leeuwen; H A P Pols
Journal:  Bone       Date:  2004-01       Impact factor: 4.398

7.  MiR-133a in human circulating monocytes: a potential biomarker associated with postmenopausal osteoporosis.

Authors:  Yang Wang; Ling Li; Benjamin T Moore; Xian-Hao Peng; Xiang Fang; Joan M Lappe; Robert R Recker; Peng Xiao
Journal:  PLoS One       Date:  2012-04-10       Impact factor: 3.240

8.  Identification of miR-194-5p as a potential biomarker for postmenopausal osteoporosis.

Authors:  Jia Meng; Dapeng Zhang; Nanan Pan; Ning Sun; Qiujun Wang; Jingxue Fan; Ping Zhou; Wenliang Zhu; Lihong Jiang
Journal:  PeerJ       Date:  2015-05-21       Impact factor: 2.984

Review 9.  Secretion of microvesicular miRNAs in cellular and organismal aging.

Authors:  Sylvia Weilner; Elisabeth Schraml; Heinz Redl; Regina Grillari-Voglauer; Johannes Grillari
Journal:  Exp Gerontol       Date:  2012-12-30       Impact factor: 4.032

10.  MiR-422a as a potential cellular microRNA biomarker for postmenopausal osteoporosis.

Authors:  Zheng Cao; Benjamin T Moore; Yang Wang; Xian-Hao Peng; Joan M Lappe; Robert R Recker; Peng Xiao
Journal:  PLoS One       Date:  2014-05-12       Impact factor: 3.240

View more
  3 in total

Review 1.  Micro-RNA: A Future Approach to Personalized Diagnosis of Bone Diseases.

Authors:  Giovanni Lombardi; Edgard Delvin
Journal:  Calcif Tissue Int       Date:  2022-02-19       Impact factor: 4.333

2.  Circulating miRNAs associated with bone mineral density in healthy adult baboons.

Authors:  Ellen E Quillen; Jaydee Foster; Anne Sheldrake; Maggie Stainback; Jeremy Glenn; Laura A Cox; Todd L Bredbenner
Journal:  J Orthop Res       Date:  2021-11-19       Impact factor: 3.102

3.  Menopausal Transition: Prospective Study of Estrogen Status, Circulating MicroRNAs, and Biomarkers of Bone Metabolism.

Authors:  Jiri Baloun; Aneta Pekacova; Laszlo Wenchich; Hana Hruskova; Ladislav Senolt; Xiao Svec; Karel Pavelka; Jan J Stepan
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-13       Impact factor: 6.055

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.