Literature DB >> 23775851

Association between the metabolome and low bone mineral density in Taiwanese women determined by (1)H NMR spectroscopy.

Ying-Shu You1, Ching-Yu Lin, Hao-Jan Liang, Shen-Hung Lee, Keh-Sung Tsai, Jeng-Min Chiou, Yen-Ching Chen, Chwen-Keng Tsao, Jen-Hau Chen.   

Abstract

Osteoporosis is related to the alteration of specific circulating metabolites. However, previous studies on only a few metabolites inadequately explain the pathogenesis of this complex syndrome. To date, no study has related the metabolome to bone mineral density (BMD), which would provide an overview of metabolism status and may be useful in clinical practice. This cross-sectional study involved 601 healthy Taiwanese women aged 40 to 55 years recruited from MJ Health Management Institution between 2009 and 2010. Participants were classified according to high (2nd tertile plus 3rd tertile) and low (1st tertile) BMD groups. The plasma metabolome was evaluated by proton nuclear magnetic resonance spectroscopy ((1) H NMR). Principal components analysis (PCA), partial least-squares discriminant analysis (PLS-DA), and logistic regression analysis were used to assess the association between the metabolome and BMD. The high and low BMD groups could be differentiated by PLS-DA but not PCA in postmenopausal women (Q(2)  = 0.05, ppermutation  = 0.04). Among postmenopausal women, elevated glutamine was significantly associated with low BMD (adjusted odds ratio [AOR] = 5.10); meanwhile, elevated lactate (AOR = 0.55), acetone (AOR = 0.51), lipids (AOR = 0.04), and very low-density lipoprotein (AOR = 0.49) protected against low BMD. To the best of our knowledge, this study is the first to identify a group of metabolites for characterizing low BMD in postmenopausal women using a (1) H NMR-based metabolomic approach. The metabolic profile may be useful for predicting the risk of osteoporosis in postmenopausal women at an early age.
© 2014 American Society for Bone and Mineral Research.

Entities:  

Keywords:  BONE MINERAL DENSITY; METABOLOME; METABOLOMICS; NUCLEAR MAGNETIC RESONANCE; OSTEOPOROSIS

Mesh:

Substances:

Year:  2014        PMID: 23775851     DOI: 10.1002/jbmr.2018

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  26 in total

1.  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

Review 2.  P4 medicine and osteoporosis: a systematic review.

Authors:  Klemen Kodrič; Klemen Čamernik; Darko Černe; Radko Komadina; Janja Marc
Journal:  Wien Klin Wochenschr       Date:  2016-11-21       Impact factor: 1.704

3.  Circulating amino acids are associated with bone mineral density decline and ten-year major osteoporotic fracture risk in older community-dwelling adults.

Authors:  Yi Su; Amany Elshorbagy; Cheryl Turner; Helga Refsum; Ruth Chan; Timothy Kwok
Journal:  Bone       Date:  2019-10-14       Impact factor: 4.398

4.  Metabolomics Insights into Osteoporosis Through Association With Bone Mineral Density.

Authors:  Xiaoyu Zhang; Hanfei Xu; Gloria Hy Li; Michelle T Long; Ching-Lung Cheung; Ramachandran S Vasan; Yi-Hsiang Hsu; Douglas P Kiel; Ching-Ti Liu
Journal:  J Bone Miner Res       Date:  2021-02-02       Impact factor: 6.741

5.  A Metabolomic Profile Predictive of New Osteoporosis or Sarcopenia Development.

Authors:  Kana Miyamoto; Akiyoshi Hirayama; Yuiko Sato; Satsuki Ikeda; Midori Maruyama; Tomoyoshi Soga; Masaru Tomita; Masaya Nakamura; Morio Matsumoto; Noriko Yoshimura; Takeshi Miyamoto
Journal:  Metabolites       Date:  2021-04-28

6.  The Association of Aromatic Amino Acids with Incident Hip Fracture, aBMD, and Body Composition from the Cardiovascular Health Study.

Authors:  Brian Le; Petra Bůžková; John A Robbins; Howard A Fink; Mattie Raiford; Carlos M Isales; James M Shikany; Steven S Coughlin; Laura D Carbone
Journal:  Calcif Tissue Int       Date:  2019-05-21       Impact factor: 4.333

Review 7.  A road map for understanding molecular and genetic determinants of osteoporosis.

Authors:  Tie-Lin Yang; Hui Shen; Anqi Liu; Shan-Shan Dong; Lei Zhang; Fei-Yan Deng; Qi Zhao; Hong-Wen Deng
Journal:  Nat Rev Endocrinol       Date:  2019-12-02       Impact factor: 43.330

8.  Plasma high-resolution metabolomics identifies linoleic acid and linked metabolic pathways associated with bone mineral density.

Authors:  Moriah P Bellissimo; Thomas R Ziegler; Dean P Jones; Ken H Liu; Jolyn Fernandes; Joseph L Roberts; M Neale Weitzmann; Roberto Pacifici; Jessica A Alvarez
Journal:  Clin Nutr       Date:  2020-06-04       Impact factor: 7.324

9.  Identification and Functional Characterization of Metabolites for Bone Mass in Peri- and Postmenopausal Chinese Women.

Authors:  Rui Gong; Hong-Mei Xiao; Yin-Hua Zhang; Qi Zhao; Kuan-Jui Su; Xu Lin; Cheng-Lin Mo; Qiang Zhang; Ya-Ting Du; Feng-Ye Lyu; Yuan-Cheng Chen; Cheng Peng; Hui-Min Liu; Shi-Di Hu; Dao-Yan Pan; Zhi Chen; Zhang-Fang Li; Rou Zhou; Xia-Fang Wang; Jun-Min Lu; Zeng-Xin Ao; Yu-Qian Song; Chan-Yan Weng; Qing Tian; Martin R Schiller; Christopher J Papasian; Marco Brotto; Hui Shen; Jie Shen; Hong-Wen Deng
Journal:  J Clin Endocrinol Metab       Date:  2021-07-13       Impact factor: 5.958

10.  Lipid and metabolite correlation networks specific to clinical and biochemical covariate show differences associated with sexual dimorphism in a cohort of nonagenarians.

Authors:  Francesca Di Cesare; Leonardo Tenori; Gaia Meoni; Anna Maria Gori; Rossella Marcucci; Betti Giusti; Raffaele Molino-Lova; Claudio Macchi; Silvia Pancani; Claudio Luchinat; Edoardo Saccenti
Journal:  Geroscience       Date:  2021-07-29       Impact factor: 7.581

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