Literature DB >> 21633293

Quality improvement of mitochondrial respiratory chain complex enzyme assays using Caenorhabditis elegans.

Xiulian Chen1, David R Thorburn, Lee-Jun Wong, Georgirene D Vladutiu, Richard H Haas, Thuy Le, Charles Hoppel, Margaret Sedensky, Philip Morgan, Si Houn Hahn.   

Abstract

PURPOSE: The diagnosis of a mitochondrial disorder relies heavily on the enzymatic analysis of mitochondrial respiratory chain complexes in muscle or other tissues. However, considerable differences exist between clinical laboratories in the protocols or particular tests used for evaluation. In addition, laboratories can encounter difficulties in consistent technique, as well as procurement of adequate positive or negative controls. Currently, there is no external quality assurance for respiratory chain complex assays. In this study, we explored the use of Caenorhabditis elegans mitochondria as a potential aid to diagnostic centers that perform respiratory chain complex assays.
METHOD: Five diagnostic test centers in the United States and one from Australia comparatively analyzed enzyme activities of mitochondria from C. elegans. The first survey consisted of three open-labeled samples including one normal control and two mutants; the second survey consisted of one open-labeled normal control and two blinded samples.
RESULTS: There was very good concordance among laboratories in detecting the majority of the defects present in the mutant specimens. Despite the ability to detect respiratory chain complex defects, the scatter between centers for certain enzymatic assays, particularly I + III, II, III, and IV, led to different diagnostic interpretations between the centers.
CONCLUSION: The data strongly support the need for comparative testing of mitochondrial enzyme assays between multiple laboratories. Our overall results are encouraging for the use of nematode mitochondria as a tool that might provide a virtually inexhaustible supply of mitochondria with defined defects for development of assays and as a potential source of control specimens.

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Year:  2011        PMID: 21633293     DOI: 10.1097/GIM.0b013e31821afca5

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  7 in total

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2.  Development of a high-throughput method for real-time assessment of cellular metabolism in intact long skeletal muscle fibre bundles.

Authors:  Rui Li; Frederik J Steyn; Michael B Stout; Kevin Lee; Tanya R Cully; Juan C Calderón; Shyuan T Ngo
Journal:  J Physiol       Date:  2016-11-03       Impact factor: 5.182

3.  Targeted next-generation sequencing expands the spectrum of mitochondrial disorders.

Authors:  Si Houn Hahn
Journal:  Genome Med       Date:  2012-03-23       Impact factor: 11.117

4.  Caenorhabditis elegans as a Model System for Studying Drug Induced Mitochondrial Toxicity.

Authors:  Richard de Boer; Ruben L Smith; Winnok H De Vos; Erik M M Manders; Stanley Brul; Hans van der Spek
Journal:  PLoS One       Date:  2015-05-13       Impact factor: 3.240

5.  A multi-center comparison of diagnostic methods for the biochemical evaluation of suspected mitochondrial disorders.

Authors:  R J T Rodenburg; G C Schoonderwoerd; V Tiranti; R W Taylor; A Rötig; L Valente; F Invernizzi; D Chretien; L He; G P B M Backx; K J G M Janssen; P F Chinnery; H J Smeets; I F de Coo; L P van den Heuvel
Journal:  Mitochondrion       Date:  2012-11-17       Impact factor: 4.160

Review 6.  Diagnosis and management of mitochondrial disease: a consensus statement from the Mitochondrial Medicine Society.

Authors:  Sumit Parikh; Amy Goldstein; Mary Kay Koenig; Fernando Scaglia; Gregory M Enns; Russell Saneto; Irina Anselm; Bruce H Cohen; Marni J Falk; Carol Greene; Andrea L Gropman; Richard Haas; Michio Hirano; Phil Morgan; Katherine Sims; Mark Tarnopolsky; Johan L K Van Hove; Lynne Wolfe; Salvatore DiMauro
Journal:  Genet Med       Date:  2014-12-11       Impact factor: 8.822

7.  Targeted exome sequencing for mitochondrial disorders reveals high genetic heterogeneity.

Authors:  Jeana T DaRe; Valeria Vasta; John Penn; Nguyen-Thao B Tran; Si Houn Hahn
Journal:  BMC Med Genet       Date:  2013-11-11       Impact factor: 2.103

  7 in total

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