Literature DB >> 21295140

Analysis of the mitochondrial proteome in multiple sclerosis cortex.

Laurie Broadwater1, Ashish Pandit, Robert Clements, Sausan Azzam, Jonathan Vadnal, Michael Sulak, V Wee Yong, Ernest J Freeman, Roger B Gregory, Jennifer McDonough.   

Abstract

Mitochondrial dysfunction has been proposed to play a role in the neuropathology of multiple sclerosis (MS). Previously, we reported significant alterations in the transcription of nuclear-encoded electron transport chain genes in MS and confirmed translational alterations for components of Complexes I and III that resulted in reductions in their activity. To more thoroughly and efficiently elucidate potential alterations in the expression of mitochondrial and related proteins, we have characterized the mitochondrial proteome in postmortem MS and control cortex using Surface-Enhanced Laser Desorption Ionization Time of Flight Mass Spectrometry (SELDI-TOF-MS). Using principal component analysis (PCA) and hierarchical clustering techniques we were able to analyze the differential patterns of SELDI-TOF spectra to reveal clusters of peaks which distinguished MS from control samples. Four proteins in particular were responsible for distinguishing disease from control. Peptide fingerprint mapping unambiguously identified these differentially expressed proteins. Three proteins identified are involved in respiration including cytochrome c oxidase subunit 5b (COX5b), the brain specific isozyme of creatine kinase, and hemoglobin β-chain. The fourth protein identified was myelin basic protein (MBP). We then investigated whether these alterations were consistent in the experimental autoimmune encephalomyelitis (EAE) mouse model of MS. We found that MBP was similarly altered in EAE but the respiratory proteins were not. These data indicate that while the EAE mouse model may mimic aspects of MS neuropathology which result from inflammatory demyelinating events, there is another distinct mechanism involved in mitochondrial dysfunction in gray matter in MS which is not modeled in EAE.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21295140      PMCID: PMC3074931          DOI: 10.1016/j.bbadis.2011.01.012

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


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