Literature DB >> 23467425

GC/TOFMS analysis of metabolites in serum and urine reveals metabolic perturbation of TCA cycle in db/db mice involved in diabetic nephropathy.

Mengjie Li1, Xufang Wang, Jiye Aa, Weisong Qin, Weibin Zha, Yongchun Ge, Linsheng Liu, Tian Zheng, Bei Cao, Jian Shi, Chunyan Zhao, Xinwen Wang, Xiaoyi Yu, Guangji Wang, Zhihong Liu.   

Abstract

Early diagnosis of diabetic nephropathy (DN) is difficult although it is of crucial importance to prevent its development. To probe potential markers and the underlying mechanism of DN, an animal model of DN, the db/db mice, was used and serum and urine metabolites were profiled using gas chromatography/time-of-flight mass spectrometry. Metabolic patterns were evaluated based on serum and urine data. Principal component analysis of the data revealed an obvious metabonomic difference between db/db mice and controls, and db/db mice showed distinctly different metabolic patterns during the progression from diabetes to early, medium, and later DN. The identified metabolites discriminating between db/db mice and controls suggested that db/db mice have perturbations in the tricarboxylic acid cycle (TCA, citrate, malate, succinate, and aconitate), lipid metabolism, glycolysis, and amino acid turnover. The db/db mice were characterized by acidic urine, high TCA intermediates in serum at week 6 and a sharp decline thereafter, and gradual elevation of free fatty acids in the serum. The sharp drop of serum TCA intermediates from week 6 to 8 indicated the downregulated glycolysis and insulin resistance. However, urinary TCA intermediates did not decrease in parallel with those in the serum from week 6 to 10, and an increased portion of TCA intermediates in the serum was excreted into the urine at 8, 10, and 12 wk than at 6 wk, indicating kidney dysfunction occurred. The relative abundances of TCA intermediates in urine relative to those in serum were suggested as an index of renal damage.

Entities:  

Keywords:  diabetic nephropathy; gas chromatography mass spectrometry; metabonomics; tricarboxylic acid cycle

Mesh:

Substances:

Year:  2013        PMID: 23467425     DOI: 10.1152/ajprenal.00536.2012

Source DB:  PubMed          Journal:  Am J Physiol Renal Physiol        ISSN: 1522-1466


  26 in total

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Journal:  Metabolomics       Date:  2018-06-08       Impact factor: 4.290

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Journal:  JCI Insight       Date:  2016-10-20

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Journal:  JCI Insight       Date:  2016-09-22

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Journal:  Nat Rev Nephrol       Date:  2018-02-19       Impact factor: 28.314

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Journal:  Metabolism       Date:  2018-03-29       Impact factor: 8.694

10.  Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis.

Authors:  Qian Zhang; Ling-Yun Lai; Yuan-Yuan Cai; Ma-Jie Wang; Gaoxiang Ma; Lian-Wen Qi; Jun Xue; Feng-Qing Huang
Journal:  Front Med (Lausanne)       Date:  2021-05-12
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