Liang WD, Huang PJ, Xiong LH, Zhou S, Ye RY, Liu JR, Wei H, Lai RY. Metabolomics and its application in the mechanism analysis on diabetic bone metabolic abnormality.
Eur Rev Med Pharmacol Sci 2021;
24:9591-9600. [PMID:
33015802 DOI:
10.26355/eurrev_202009_23047]
[Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE
This study is aimed at analysing the endogenous metabolites profiling of patients with diabetic osteoporosis, so as to provide the reference for pathogenesis research of diabetic osteoporosis.
PATIENTS AND METHODS
The 1H-NMR metabolomics technology, combined with pattern recognition analysis and SIMCA-P 12.0 statistical analysis, were employed to identify the metabolites differences between diabetic patients with disordered bone metabolism (research group) and healthy volunteers (normal group) in this study.
RESULTS
Compared with normal group, the results show that in research group, the levels of O-acetyl glycoprotein, proline, 1-methyl histidine, tricarboxylic acid cycle (TCA cycle) product (citric acid and α-ketoglutaric acid) decline, while the levels of branched chain amino acids (leucine, isoleucine, valine), glucose, choline, creatine, inositol, glutamine, aspartic acid, alanine, glycine, and citrulline increase.
CONCLUSIONS
There are disordered metabolic pathways and imbalanced bone synthetic materials and regulatory substances in diabetic patients with bone metabolic abnormality. These metabolic abnormalities could be the specific indicators in early diagnosis of diabetic osteoporosis.
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