Literature DB >> 28396151

Increased urine acylcarnitines in diabetic ApoE-/- mice: Hydroxytetradecadienoylcarnitine (C14:2-OH) reflects diabetic nephropathy in a context of hyperlipidemia.

Koryun Mirzoyan1, Kristaps Klavins2, Therese Koal2, Marion Gillet1, Dimitri Marsal1, Colette Denis1, Julie Klein1, Jean-Loup Bascands3, Joost P Schanstra4, Jean-Sébastien Saulnier-Blache5.   

Abstract

Hyperlipidemia is a risk factor for initiation and progression of diabetic nephropathy but the metabolic pathways altered in the diabetic kidney in a context of hyperlipidemia remain incompletely described. Assuming that changes in urine composition reflect the alteration of renal metabolism and function, we analyzed the urine metabolite composition of diabetic (streptozotocin-treatment) and control (non diabetic) ApoE-/- mice fed a high cholesterol diet using targeted quantitative metabolomics. Urine metabolome was also compared to the plasma metabolome of the same animals. As previously shown, urine albuminuria/urine creatinine ratio (uACR) and glomerular area and plasma lipids (cholesterol, triglycerides) were more elevated in diabetic mice compared to control. After adjustment to urine creatinine, the abundance of 52 urine metabolites was significantly different in diabetic mice compared to control. Among them was a unique metabolite, C14:2-OH (3-hydroxytetradecadienoylcarnitine) that, in diabetic mice, was positively and significantly correlated with uACR, glomerular hypertrophy, blood glucose and plasma lipids. That metabolite was not detected in plasma. C14:2-OH is a long-chain acylcarnitine reminiscent of altered fatty acid beta oxidation. Other acylcarnitines, particularly the short chains C3-OH, C3-DC, C4:1, C5-DC, C5-M-DC, C5-OH that are reminiscent of altered oxidation of branched and aromatic amino acids were also exclusively detected in urine but were only correlated with plasma lipids. Finally, the renal gene expression of several enzymes involved in fatty acid and/or amino acid oxidation was significantly reduced in diabetic mice compared to control. This included the bifunctional enoyl-CoA hydratase/3-hydroxyacyl-CoA (Ehhadh) that might play a central role in C14:2-OH production. This study indicate that the development of diabetes in a context of hyperlipidemia is associated with a reduced capacity of kidney to oxidize fatty acids and amino acids with the consequence of an elevation of urinary acetylcarnitines including C14:2-OH that specifically reflects diabetic nephropathy.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acyl-coenzyme A; Acylcarnitine; Diabetes; Hyperlipidemia; Metabolomics; Nephropathy; Urine

Mesh:

Substances:

Year:  2017        PMID: 28396151     DOI: 10.1016/j.bbrc.2017.04.026

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  5 in total

1.  Astragalus mongholicus Bunge and Panax notoginseng (Burkill) F.H. Chen Formula for Renal Injury in Diabetic Nephropathy-In Vivo and In Vitro Evidence for Autophagy Regulation.

Authors:  Dan Wen; Rui-Zhi Tan; Chang-Ying Zhao; Jian-Chun Li; Xia Zhong; Hui Diao; Xiao Lin; Dayue Darrel Duan; Jun-Ming Fan; Xi-Sheng Xie; Li Wang
Journal:  Front Pharmacol       Date:  2020-06-12       Impact factor: 5.810

2.  Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype.

Authors:  Markus Rotter; Stefan Brandmaier; Marcela Covic; Katarzyna Burek; Johannes Hertel; Martina Troll; Erik Bader; Jonathan Adam; Cornelia Prehn; Birgit Rathkolb; Martin Hrabe de Angelis; Hans Jörgen Grabe; Hannelore Daniel; Thomas Kantermann; Volker Harth; Thomas Illig; Dirk Pallapies; Thomas Behrens; Thomas Brüning; Jerzy Adamski; Heiko Lickert; Sylvia Rabstein; Rui Wang-Sattler
Journal:  Metabolites       Date:  2018-08-21

3.  Functional Urate-Associated Genetic Variants Influence Expression of lincRNAs LINC01229 and MAFTRR.

Authors:  Megan Leask; Amy Dowdle; Hamish Salvesen; Ruth Topless; Tayaza Fadason; Wenhua Wei; William Schierding; Judith Marsman; Jisha Antony; Justin M O'Sullivan; Tony R Merriman; Julia A Horsfield
Journal:  Front Genet       Date:  2019-01-21       Impact factor: 4.599

4.  Microbial modulation of host body composition and plasma metabolic profile.

Authors:  M Nazmul Huda; Jason H Winnike; Jocelyn M Crowell; Annalouise O'Connor; Brian J Bennett
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Review 5.  Acylcarnitines: Can They Be Biomarkers of Diabetic Nephropathy?

Authors:  Xiaodie Mu; Min Yang; Peiyao Ling; Aihua Wu; Hua Zhou; Jingting Jiang
Journal:  Diabetes Metab Syndr Obes       Date:  2022-01-29       Impact factor: 3.168

  5 in total

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