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Association Between the Metabolome and Low Bone Mineral Density in Taiwanese Women Determined by 1 H NMR Spectroscopy
Author(s) -
You YingShu,
Lin ChingYu,
Liang HaoJan,
Lee ShenHung,
Tsai KehSung,
Chiou JengMin,
Chen YenChing,
Tsao ChwenKeng,
Chen JenHau
Publication year - 2014
Publication title -
journal of bone and mineral research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.882
H-Index - 241
eISSN - 1523-4681
pISSN - 0884-0431
DOI - 10.1002/jbmr.2018
Subject(s) - metabolome , bone mineral , osteoporosis , medicine , odds ratio , metabolomics , glutamine , bone remodeling , endocrinology , metabolite , biology , bioinformatics , biochemistry , amino acid
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, p permutation = 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.