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

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 TomitaYoshiaki Toyama

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)

Abstract

Osteoporosis is characterized as a metabolic disorder of bone tissue, and various metabolic markers are now available to support its diagnosis and evaluate treatment effects. Substances produced as end products of metabolomic activities are the correlated factors to the biological or metabolic status, and thus, metabolites are considered highly sensitive markers of particular pathological states, including osteoporosis. Here we undertook comprehensive serum metabolomics analysis in postmenopausal women with or without low bone mineral density (low BMD vs controls) for the first time using capillary electrophoresis/mass spectrometry. Among the metabolites tested, 57 were detected in sera. Levels of hydroxyproline, Gly-Gly and cystine, differed significantly between groups, with Gly-Gly and cystine significantly lower in the low BMD group and hydroxyproline, a reported marker of osteoporosis, significantly higher. Levels of TRACP5b, a bone resorption marker, were significantly higher in the low BMD group, supporting the study's validity. Taken together, our findings represent novel metabolomic profiling in low BMD in postmenopausal women.

Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalBone
Volume95
DOIs
Publication statusPublished - 01-02-2017

All Science Journal Classification (ASJC) codes

  • Endocrinology, Diabetes and Metabolism
  • Physiology
  • Histology

Fingerprint

Dive into the research topics of 'A serum metabolomics-based profile in low bone mineral density postmenopausal women'. Together they form a unique fingerprint.

Cite this