Literature DB >> 28859482

Comprehensive Analysis of Acylcarnitine Species in db/db Mouse Using a Novel Method of High-Resolution Parallel Reaction Monitoring Reveals Widespread Metabolic Dysfunction Induced by Diabetes.

Li Xiang1, Juntong Wei1, Xiao Yu Tian2, Bei Wang1, Wan Chan1, Shangfu Li1, Zhi Tang1, Hongsong Zhang2, Wai San Cheang2, Qian Zhao1, Hongzhi Zhao1, Zhiyi Yang1, Yanjun Hong1, Yu Huang2, Zongwei Cai1.   

Abstract

Acylcarnitines are exerting a variety of biological functions depending on the differences in lengths, saturation levels, and conjugation groups, which to a great extent contribute to the challenges of acylcarnitines quantifications due to various kinds of isomers. Here, we describe a novel method by using high-resolution parallel reaction monitoring (PRM) liquid chromatography-tandem mass spectrometry (LC-MS/MS). Both reversed-phase and normal-phase column were used in order to get accurate, reliable, widespread quantification of acylcarnitines, and without tedious sample preparation procedure. The method provided the most comprehensive acylcarnitine profile with high-resolution MS and MS/MS confirmation to date. A total of 117 acylcarnitines were detected from plasma and urine samples. The application of targeted profiling of acylcarnitines in db/m+ control and db/db diabetic mice indicated incomplete amino acid and fatty acid oxidation on diabetic mice. Interestingly, the reduction of medium odd-numbered chain acylcarnitines in urine samples was first observed between db/m+ and db/db mice. The high-resolution PRM method makes it possible to monitor the widespread metabolic changes of the acylcarnitines in response to stimuli. Besides, the accurate MS and MS/MS spectra data of the 117 acylcarnitines could be used as mass spectrometric resources for the identification of acylcarnitines.

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Year:  2017        PMID: 28859482     DOI: 10.1021/acs.analchem.7b02283

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  5 in total

1.  Acylcarnitine profiling by low-resolution LC-MS.

Authors:  David Meierhofer
Journal:  PLoS One       Date:  2019-08-15       Impact factor: 3.240

2.  Biochemical phenotyping of multiple myeloma patients at diagnosis reveals a disorder of mitochondrial complexes I and II and a Hartnup-like disturbance as underlying conditions, also influencing different stages of the disease.

Authors:  Ismael Dale Cotrim Guerreiro da Silva; Erica Valadares de Castro Levatti; Amanda Paula Pedroso; Dirce Maria Lobo Marchioni; Antonio Augusto Ferreira Carioca; Gisele Wally Braga Colleoni
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

Review 3.  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

4.  Rapid Identification of Constituents in Cephalanthus tetrandrus (Roxb.) Ridsd. et Badh. F. Using UHPLC-Q-Exactive Orbitrap Mass Spectrometry.

Authors:  Su-Nv Tang; Jian-Bo Yang; Shuai E; Shuo He; Jia-Xin Li; Kai-Quan Yu; Min Zhang; Qing Li; Lei Sun; Hui Li
Journal:  Molecules       Date:  2022-06-23       Impact factor: 4.927

5.  Non-targeted urine metabolomics and associations with prevalent and incident type 2 diabetes.

Authors:  Samira Salihovic; Corey D Broeckling; Andrea Ganna; Jessica E Prenni; Johan Sundström; Christian Berne; Lars Lind; Erik Ingelsson; Tove Fall; Johan Ärnlöv; Christoph Nowak
Journal:  Sci Rep       Date:  2020-10-05       Impact factor: 4.379

  5 in total

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