Literature DB >> 34309694

Metabolomic biomarkers of low BMD: a systematic review.

N Panahi1,2,3, B Arjmand4, A Ostovar1, E Kouhestani5, R Heshmat6, A Soltani7, B Larijani8.   

Abstract

Due to the metabolic nature of osteoporosis, this study was conducted to identify metabolomic studies investigating the metabolic profile of low bone mineral density (BMD) and osteoporosis. A comprehensive systematic literature search was conducted through PubMed, Web of Science, Scopus, and Embase databases up to April 08, 2020, to identify observational studies with cross-sectional or case-control designs investigating the metabolic profile of low BMD in adults using biofluid specimen via metabolomic platform. The quality assessment panel specified for the "omics"-based diagnostic research (QUADOMICS) tool was used to estimate the methodologic quality of the included studies. Ten untargeted and one targeted approach metabolomic studies investigating biomarkers in different biofluids through mass spectrometry or nuclear magnetic resonance platforms were included in the systematic review. Some metabolite panels, rather than individual metabolites, showed promising results in differentiating low BMD from normal. Candidate metabolites were of different categories including amino acids, followed by lipids and carbohydrates. Besides, certain pathways were suggested by some of the studies to be involved. This systematic review suggested that metabolic profiling could improve the diagnosis of low BMD. Despite valuable findings attained from each of these studies, there was great heterogeneity regarding the ethnicity and age of participants, samples, and the metabolomic platform. Further longitudinal studies are needed to validate the results and confirm the predictive role of metabolic profile on low BMD and fracture. It is also mandatory to address and minimize the heterogeneity in future studies by using reliable quantitative methods. Summary: Due to the metabolic nature of osteoporosis, researchers have considered metabolomic studies recently. This systematic review showed that metabolic profiling including different categories of metabolites could improve the diagnosis of low BMD. However, great heterogeneity was observed and it is mandatory to address and minimize the heterogeneity in future studies.
© 2021. International Osteoporosis Foundation and National Osteoporosis Foundation.

Entities:  

Keywords:  Biomarkers; Bone mineral density; Metabolomics; Osteoporosis; Systematic review

Year:  2021        PMID: 34309694     DOI: 10.1007/s00198-021-06037-8

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  77 in total

1.  QUADOMICS: an adaptation of the Quality Assessment of Diagnostic Accuracy Assessment (QUADAS) for the evaluation of the methodological quality of studies on the diagnostic accuracy of '-omics'-based technologies.

Authors:  Blanca Lumbreras; Miquel Porta; Soledad Márquez; Marina Pollán; Lucy A Parker; Ildefonso Hernández-Aguado
Journal:  Clin Biochem       Date:  2008-07-09       Impact factor: 3.281

2.  Discovery of potential biomarkers for osteoporosis using LC-MS/MS metabolomic methods.

Authors:  J Wang; D Yan; A Zhao; X Hou; X Zheng; P Chen; Y Bao; W Jia; C Hu; Z-L Zhang; W Jia
Journal:  Osteoporos Int       Date:  2019-02-18       Impact factor: 4.507

3.  A serum metabolomics-based profile in low bone mineral density postmenopausal women.

Authors:  Takeshi Miyamoto; Akiyoshi Hirayama; Yuiko Sato; Tami Koboyashi; Eri Katsuyama; Hiroya Kanagawa; Hiroya Miyamoto; Tomoaki Mori; Shigeyuki Yoshida; Atsuhiro Fujie; Mayu Morita; Ryuichi Watanabe; Toshimi Tando; Kana Miyamoto; Takashi Tsuji; Atsushi Funayama; Masaya Nakamura; Morio Matsumoto; Tomoyoshi Soga; Masaru Tomita; Yoshiaki Toyama
Journal:  Bone       Date:  2016-10-29       Impact factor: 4.398

4.  Metabolomics: beyond biomarkers and towards mechanisms.

Authors:  Caroline H Johnson; Julijana Ivanisevic; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2016-03-16       Impact factor: 94.444

5.  Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts.

Authors:  Olaf Beckonert; Hector C Keun; Timothy M D Ebbels; Jacob Bundy; Elaine Holmes; John C Lindon; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

6.  Metabolomics-based profiles predictive of low bone mass in menopausal women.

Authors:  Takeshi Miyamoto; Akiyoshi Hirayama; Yuiko Sato; Tami Koboyashi; Eri Katsuyama; Hiroya Kanagawa; Atsuhiro Fujie; Mayu Morita; Ryuichi Watanabe; Toshimi Tando; Kana Miyamoto; Takashi Tsuji; Atsushi Funayama; Tomoyoshi Soga; Masaru Tomita; Masaya Nakamura; Morio Matsumoto
Journal:  Bone Rep       Date:  2018-06-18

7.  Osteopenia-osteoporosis discrimination in postmenopausal women by 1H NMR-based metabonomics.

Authors:  T A Pontes; A D Barbosa; R D Silva; M R Melo-Junior; R O Silva
Journal:  PLoS One       Date:  2019-05-29       Impact factor: 3.240

8.  Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms.

Authors:  Chuan Qiu; Fangtang Yu; Kuanjui Su; Qi Zhao; Lan Zhang; Chao Xu; Wenxing Hu; Zun Wang; Lanjuan Zhao; Qing Tian; Yuping Wang; Hongwen Deng; Hui Shen
Journal:  iScience       Date:  2020-01-17

9.  HMDB: a knowledgebase for the human metabolome.

Authors:  David S Wishart; Craig Knox; An Chi Guo; Roman Eisner; Nelson Young; Bijaya Gautam; David D Hau; Nick Psychogios; Edison Dong; Souhaila Bouatra; Rupasri Mandal; Igor Sinelnikov; Jianguo Xia; Leslie Jia; Joseph A Cruz; Emilia Lim; Constance A Sobsey; Savita Shrivastava; Paul Huang; Philip Liu; Lydia Fang; Jun Peng; Ryan Fradette; Dean Cheng; Dan Tzur; Melisa Clements; Avalyn Lewis; Andrea De Souza; Azaret Zuniga; Margot Dawe; Yeping Xiong; Derrick Clive; Russ Greiner; Alsu Nazyrova; Rustem Shaykhutdinov; Liang Li; Hans J Vogel; Ian Forsythe
Journal:  Nucleic Acids Res       Date:  2008-10-25       Impact factor: 16.971

10.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

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  2 in total

1.  Association of amino acid metabolites with osteoporosis, a metabolomic approach: Bushehr elderly health program.

Authors:  Nekoo Panahi; Noushin Fahimfar; Shahin Roshani; Babak Arjmand; Safoora Gharibzadeh; Gita Shafiee; Eugenia Migliavacca; Denis Breuille; Jerome N Feige; Yohan Grzywinski; John Corthesy; Farideh Razi; Ramin Heshmat; Iraj Nabipour; Farshad Farzadfar; Akbar Soltani; Bagher Larijani; Afshin Ostovar
Journal:  Metabolomics       Date:  2022-08-01       Impact factor: 4.747

2.  Human metabolite detection by surface-enhanced Raman spectroscopy.

Authors:  Yao Lu; Li Lin; Jian Ye
Journal:  Mater Today Bio       Date:  2022-01-19
  2 in total

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