Literature DB >> 29975282

Association between metabolic profiles in urine and bone mineral density of pre- and postmenopausal Chinese women.

Lisha Yu1, Huanhuan Qi1, Guohua An2, Jun Bao3, Bo Ma1, Jianwei Zhu4, Gang Ouyang3, Pengling Zhang3, Hongwei Fan5, Qi Zhang1.   

Abstract

OBJECTIVE: In the present study, we aimed to characterize the pathological development of menopausal osteoporosis, as well as to explore potential biomarkers and metabolic pathways involved in osteoporosis.
METHODS: Urine samples from 322 female participants categorized by menopause status and different bone conditions were collected and analyzed based on a gas chromatography-mass spectrometry (GC-MS) approach. Multivariate and univariate statistical analyses were carried out for urinary metabolomic profile characterization and comparison.
RESULTS: Seventeen metabolites in the low bone mineral density (BMD) groups were clearly differentiated from those in normal BMD groups. Among these 17 differentiating metabolites, taurine, β-alanine, and 5-hydroxycaproic acid were found to be potential biomarkers of osteoporosis. The taurine metabolic pathway and the β-alanine metabolic pathway were found to be related to menopause and bone loss.
CONCLUSIONS: Based on the GC-MS metabolomic platform, four typical pathological phases during the progression of postmenopausal osteoporosis were described. Several differentiating metabolites and metabolic pathways were found to be closely related to the pathology of postmenopausal osteoporosis. Our results provided a solid foundation for further studies on early diagnosis and pathomechanistic evaluation.

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Year:  2019        PMID: 29975282     DOI: 10.1097/GME.0000000000001158

Source DB:  PubMed          Journal:  Menopause        ISSN: 1072-3714            Impact factor:   2.953


  6 in total

1.  Taurine, an osteocyte metabolite, protects against oxidative stress-induced cell death and decreases inhibitors of the Wnt/β-catenin signaling pathway.

Authors:  M Prideaux; Y Kitase; M Kimble; T M O'Connell; L F Bonewald
Journal:  Bone       Date:  2020-04-21       Impact factor: 4.398

2.  Urinary Metabolic Profiling via LC-MS/MS Reveals Impact of Bovine Lactoferrin on Bone Formation in Growing SD Rats.

Authors:  Yan Xu; Tianyu Zhao; Haowei Ren; Yindan Xie; Jingjing An; Jiaqi Shang; Dina Tabys; Ning Liu
Journal:  Nutrients       Date:  2020-04-17       Impact factor: 5.717

Review 3.  Perspective of the GEMSTONE Consortium on Current and Future Approaches to Functional Validation for Skeletal Genetic Disease Using Cellular, Molecular and Animal-Modeling Techniques.

Authors:  Martina Rauner; Ines Foessl; Melissa M Formosa; Erika Kague; Vid Prijatelj; Nerea Alonso Lopez; Bodhisattwa Banerjee; Dylan Bergen; Björn Busse; Ângelo Calado; Eleni Douni; Yankel Gabet; Natalia García Giralt; Daniel Grinberg; Nika M Lovsin; Xavier Nogues Solan; Barbara Ostanek; Nathan J Pavlos; Fernando Rivadeneira; Ivan Soldatovic; Jeroen van de Peppel; Bram van der Eerden; Wim van Hul; Susanna Balcells; Janja Marc; Sjur Reppe; Kent Søe; David Karasik
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-30       Impact factor: 5.555

Review 4.  A Key Metabolic Regulator of Bone and Cartilage Health.

Authors:  Elizabeth Pérez-Hernández; Jesús Javier Pastrana-Carballo; Fernando Gómez-Chávez; Ramesh C Gupta; Nury Pérez-Hernández
Journal:  Endocrinol Metab (Seoul)       Date:  2022-08-08

Review 5.  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

6.  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

  6 in total

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