Early detection of the chemical changes occurring during the induction and prevention of autoimmune-mediated demyelination detected by FT-IR imaging

Philip Robert Heraud, Sally Caine, Naomi Vittoria Campanale, Tara Karnezis, Donald McNaughton, Bayden Robert Wood, Mark James Tobin, Claude Charles Andre Bernard

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Multiple sclerosis (MS) is an inflammatory demyelinating and neurodegenerative disease of the central nervous system (CNS). Despite progress in understanding immunogenetic aspects of this disease, the mechanisms involved in lesion formation are unknown. To gain new insights into the neuropathology of MS, we used an innovative integration of Fourier transform infrared (FT-IR) microspectroscopy, bioinformatics, and a synchrotron light source to analyze macromolecular changes in the CNS during the course and prevention of experimental autoimmune encephalomyelitis (EAE), an animal model for MS. We report that subtle chemical and structural changes not observed by conventional histology were detected before the onset of clinical signs of EAE. Moreover, trained artificial neural networks (ANNs) could discriminate, with excellent sensitivity and specificity, pathology from surrounding tissues and the early stage of the disease progression. Notably, we show that this novel measurement platform can detect characteristic differences in biochemical composition of lesion pathology in animals partially protected against EAE by vaccination with Nogo-A, an inhibitor of neural outgrowth, demonstrating the potential for automated screening and evaluation of new therapeutic agents.
Original languageEnglish
Pages (from-to)1180 - 1189
Number of pages9
JournalNeuroImage
Volume49
DOIs
Publication statusPublished - 2010

Cite this

@article{f7cb64780126437ab81f21650a2366cb,
title = "Early detection of the chemical changes occurring during the induction and prevention of autoimmune-mediated demyelination detected by FT-IR imaging",
abstract = "Multiple sclerosis (MS) is an inflammatory demyelinating and neurodegenerative disease of the central nervous system (CNS). Despite progress in understanding immunogenetic aspects of this disease, the mechanisms involved in lesion formation are unknown. To gain new insights into the neuropathology of MS, we used an innovative integration of Fourier transform infrared (FT-IR) microspectroscopy, bioinformatics, and a synchrotron light source to analyze macromolecular changes in the CNS during the course and prevention of experimental autoimmune encephalomyelitis (EAE), an animal model for MS. We report that subtle chemical and structural changes not observed by conventional histology were detected before the onset of clinical signs of EAE. Moreover, trained artificial neural networks (ANNs) could discriminate, with excellent sensitivity and specificity, pathology from surrounding tissues and the early stage of the disease progression. Notably, we show that this novel measurement platform can detect characteristic differences in biochemical composition of lesion pathology in animals partially protected against EAE by vaccination with Nogo-A, an inhibitor of neural outgrowth, demonstrating the potential for automated screening and evaluation of new therapeutic agents.",
author = "Heraud, {Philip Robert} and Sally Caine and Campanale, {Naomi Vittoria} and Tara Karnezis and Donald McNaughton and Wood, {Bayden Robert} and Tobin, {Mark James} and Bernard, {Claude Charles Andre}",
year = "2010",
doi = "10.1016/j.neuroimage.2009.09.053",
language = "English",
volume = "49",
pages = "1180 -- 1189",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Elsevier",

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Early detection of the chemical changes occurring during the induction and prevention of autoimmune-mediated demyelination detected by FT-IR imaging. / Heraud, Philip Robert; Caine, Sally; Campanale, Naomi Vittoria; Karnezis, Tara; McNaughton, Donald; Wood, Bayden Robert; Tobin, Mark James; Bernard, Claude Charles Andre.

In: NeuroImage, Vol. 49, 2010, p. 1180 - 1189.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

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AU - Heraud, Philip Robert

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AU - Campanale, Naomi Vittoria

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AU - McNaughton, Donald

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AU - Tobin, Mark James

AU - Bernard, Claude Charles Andre

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AB - Multiple sclerosis (MS) is an inflammatory demyelinating and neurodegenerative disease of the central nervous system (CNS). Despite progress in understanding immunogenetic aspects of this disease, the mechanisms involved in lesion formation are unknown. To gain new insights into the neuropathology of MS, we used an innovative integration of Fourier transform infrared (FT-IR) microspectroscopy, bioinformatics, and a synchrotron light source to analyze macromolecular changes in the CNS during the course and prevention of experimental autoimmune encephalomyelitis (EAE), an animal model for MS. We report that subtle chemical and structural changes not observed by conventional histology were detected before the onset of clinical signs of EAE. Moreover, trained artificial neural networks (ANNs) could discriminate, with excellent sensitivity and specificity, pathology from surrounding tissues and the early stage of the disease progression. Notably, we show that this novel measurement platform can detect characteristic differences in biochemical composition of lesion pathology in animals partially protected against EAE by vaccination with Nogo-A, an inhibitor of neural outgrowth, demonstrating the potential for automated screening and evaluation of new therapeutic agents.

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