Literature DB >> 29471047

A urinary biosignature for mitochondrial myopathy, encephalopathy, lactic acidosis and stroke like episodes (MELAS).

Karien Esterhuizen1, J Zander Lindeque1, Shayne Mason1, Francois H van der Westhuizen1, Anu Suomalainen2, Anna H Hakonen2, Christopher J Carroll2, Richard J Rodenburg3, Paul B de Laat3, Mirian C H Janssen3, Jan A M Smeitink3, Roan Louw4.   

Abstract

We used a comprehensive metabolomics approach to study the altered urinary metabolome of two mitochondrial myopathy, encephalopathy lactic acidosis and stroke like episodes (MELAS) cohorts carrying the m.3243A>G mutation. The first cohort were used in an exploratory phase, identifying 36 metabolites that were significantly perturbed by the disease. During the second phase, the 36 selected metabolites were able to separate a validation cohort of MELAS patients completely from their respective control group, suggesting usefulness of these 36 markers as a diagnostic set. Many of the 36 perturbed metabolites could be linked to an altered redox state, fatty acid catabolism and one-carbon metabolism. However, our evidence indicates that, of all the metabolic perturbations caused by MELAS, stalled fatty acid oxidation prevailed as being particularly disturbed. The strength of our study was the utilization of five different analytical platforms to generate the robust metabolomics data reported here. We show that urine may be a useful source for disease-specific metabolomics data, linking, amongst others, altered one-carbon metabolism to MELAS. The results reported here are important in our understanding of MELAS and might lead to better treatment options for the disease.
Copyright © 2018 Elsevier B.V. and Mitochondria Research Society. All rights reserved.

Entities:  

Keywords:  MELAS; Metabolism; Metabolomics; Mutation; m.3243A>G; mtDNA

Mesh:

Substances:

Year:  2018        PMID: 29471047     DOI: 10.1016/j.mito.2018.02.003

Source DB:  PubMed          Journal:  Mitochondrion        ISSN: 1567-7249            Impact factor:   4.160


  7 in total

1.  One mutation, three phenotypes: novel metabolic insights on MELAS, MIDD and myopathy caused by the m.3243A > G mutation.

Authors:  Karien Esterhuizen; J Zander Lindeque; Shayne Mason; Francois H van der Westhuizen; Richard J Rodenburg; Paul de Laat; Jan A M Smeitink; Mirian C H Janssen; Roan Louw
Journal:  Metabolomics       Date:  2021-01-12       Impact factor: 4.290

2.  Circulating markers of NADH-reductive stress correlate with mitochondrial disease severity.

Authors:  Rohit Sharma; Bryn Reinstadler; Kristin Engelstad; Owen S Skinner; Erin Stackowitz; Ronald G Haller; Clary B Clish; Kerry Pierce; Melissa A Walker; Robert Fryer; Devin Oglesbee; Xiangling Mao; Dikoma C Shungu; Ashok Khatri; Michio Hirano; Darryl C De Vivo; Vamsi K Mootha
Journal:  J Clin Invest       Date:  2021-01-19       Impact factor: 14.808

3.  Cross-comparison of systemic and tissue-specific metabolomes in a mouse model of Leigh syndrome.

Authors:  Karin Terburgh; Jeremie Z Lindeque; Francois H van der Westhuizen; Roan Louw
Journal:  Metabolomics       Date:  2021-11-18       Impact factor: 4.290

4.  Mitochondrial oxidative phosphorylation is impaired in TALLYHO mice, a new obesity and type 2 diabetes animal model.

Authors:  Caroline A Hunter; Funda Kartal; Zeynep C Koc; Tamara Murphy; Jung Han Kim; James Denvir; Emine C Koc
Journal:  Int J Biochem Cell Biol       Date:  2019-09-19       Impact factor: 5.085

5.  Central systolic pressure and a nonessential amino acid metabolomics profile: the African Prospective study on the Early Detection and Identification of Cardiovascular disease and Hypertension.

Authors:  Catharina M Mels; Christian Delles; Roan Louw; Aletta E Schutte
Journal:  J Hypertens       Date:  2019-06       Impact factor: 4.844

6.  Altered Plasma Mitochondrial Metabolites in Persistently Symptomatic Individuals after a GBCA-Assisted MRI.

Authors:  DeAunne Denmark; Ilene Ruhoy; Bryan Wittmann; Haleh Ashki; Lorrin M Koran
Journal:  Toxics       Date:  2022-01-26

7.  Data-independent acquisition-based quantitative proteomic analysis of m.3243A>G MELAS reveals novel potential pathogenesis and therapeutic targets.

Authors:  Xueli Chang; Zhaoxu Yin; Wei Zhang; Jiaying Shi; Chuanqiang Pu; Qiang Shi; Juan Wang; Jing Zhang; Li Yan; Wenqu Yang; Junhong Guo
Journal:  Medicine (Baltimore)       Date:  2022-10-14       Impact factor: 1.817

  7 in total

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