The use of vibrational spectroscopy to study the pathogenesis multiple sclerosis and other neurological conditions

References

• Lasch, P., and Kneipp, J. (2007) Biomedical bibrational spectroscopy edited by Peter Lasch and Janina Kneipp and published by John Wiley & Sons, Inc., Hoboken, New Jersey. Originally published 15 October 2000.
   Google Scholar
• Dumas, P., Sockalingum, G. D., and Sulé-Suso, J. (2007) Adding synchrotron radiation to infrared microspectroscopy: What's new in biomedical applications? Trends Biotechnol. 25(1):40–44.
   PubMed Web of Science ®Google Scholar
• Baker, M. J., Trevisan, J., Bassan, P., Bhargava, R., Butler, H. J., Dorling, K. M., Fielden, P. R., et al. (2014) Using Fourier transform IR spectroscopy to analyze biological materials. Nat. Protoc. 9(8):1771–1791.
   PubMed Web of Science ®Google Scholar
• Baker, M. J., Hussain, S. R., Lovergne, L., Untereiner, V., Hughes, C., Lukaszewski, R. A., Thiéfin, G., and Sockalingum, G. D. (2016) Developing and understanding biofluid vibrational spectroscopy: A critical review. Chem. Soc. Rev., 2016, 45, 1803–1818.
   Web of Science ®Google Scholar
• Krafft, C., Dietzek, B., Schmitt, M., and Popp, J. (2012) Raman and coherent anti-Stokes Raman scattering microspectroscopy for biomedical applications. J. Biomed. Opt. 17(4):40801.
   Web of Science ®Google Scholar
• Kendall, A., Isabelle, M., Bazant-Hegemanrk, F., Hutchings, J., LOrr, L., Babrah, J., Baker, R., and Stone, N. (2009) Vibrational spectroscopy: A clinical tool for cancer diagnosis. Analyst. 134: 1029–1045.
   PubMed Web of Science ®Google Scholar
• Bellisola, G., and Sorio, C. (2012) Infrared spectroscopy and microscopy in cancer research and diagnosis. Am. J. Cancer Res. 2(1):1–21.
   PubMed Web of Science ®Google Scholar
• Caine, S., Heraud, P., Tobin, M. J., McNaughton, D., and Bernard, C. C. A. (2012) The application of Fourier transform infrared microspectroscopy for the study of diseased central nervous system tissue. Neuroimage 59(4):3624–3640.
   PubMed Web of Science ®Google Scholar
• Sawcer, S., Hellenthal, G., Pirinen, M., Spencer, C. C. A., Patsopoulos, N. A., Moutsianas, L., Su, Z., et al. (2012) Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis. Nature 476(7359):214–219.
   Web of Science ®Google Scholar
• Lublin, F. D., Reingold, S. C., Cohen, J. A., Cutter, G. R., Sørensen, P. S., Thompson, A. J., Wolinsky, J. S., et al. (2014) Defining the clinical course of multiple sclerosis: The 2013 revisions. Neurology 83(3):278–286.
   PubMed Web of Science ®Google Scholar
• Antel, J., Antel, S., Caramanos, Z., Arnold, D. L., and Kuhlmann, T. (2012) Primary progressive multiple sclerosis: Part of the MS disease spectrum or separate disease entity? Acta Neuropathol. 123(5):627–638.
   PubMed Web of Science ®Google Scholar
• Kutzelnigg, A., and Lassmann, H. (2014) Pathology of multiple sclerosis and related inflammatory demyelinating diseases. Handb. Clin. Neurol. 122: 15–58.
   PubMedGoogle Scholar
• Compston, A., and Coles, A. (2008) Multiple sclerosis. Lancet. 372(9648):1502–1517.
   PubMed Web of Science ®Google Scholar
• Kutzelnigg, A., Lucchinetti, C. F., Stadelmann, C., Brück, W., Rauschka, H., Bergmann, M., Schmidbauer, M., Parisi, J. E., and Lassmann, H. (2005) Cortical demyelination and diffuse white matter injury in multiple sclerosis. Brain 128(11):2705–2712.
   PubMed Web of Science ®Google Scholar
• Romme Christensen J., Börnsen L., Ratzer R., Piehl F., Khademi M., et al. (2013) Systemic Inflammation in Progressive Multiple Sclerosis Involves Follicular T-Helper, Th17- and Activated B-Cells and Correlates with Progression. PLoS ONE 8(3): e57820.
   PubMed Web of Science ®Google Scholar
• Wattjes, M. P., Rovira, À., Miller, D., Yousry, T. A., Sormani, M. P., De Stefano, N., Tintoré, M., et al. (2015) Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis—Establishing disease prognosis and monitoring patients. Nat. Rev. Neurol. 11(10):597–606.
   PubMed Web of Science ®Google Scholar
• Steinman, L. (2014) Immunology of relapse and remission in multiple sclerosis. Annu. Rev. Immunol. 32(1):257–281.
   PubMed Web of Science ®Google Scholar
• Vargas, D. L., Tyor, W. R. J Investig Med. Published Online First: 10th May 2017. doi:10.1136/jim-2016-000339
   Google Scholar
• Partridge, M. A., Gopinath, S., Myers, S. J., and Coorssen, J. R. (2016) An initial top-down proteomic analysis of the standard cuprizone mouse model of multiple sclerosis. J. Chem. Biol. 9(1):9–18.
   PubMedGoogle Scholar
• Ransohoff, R. M. (2012) Animal models of multiple sclerosis: The good, the bad and the bottom line. Nat Neurosci. 15(8):1074–1077.
   PubMed Web of Science ®Google Scholar
• van der Star, B. J., Vogel, D. Y. S., Kipp, M., Puentes, F., Baker, D., and Amor, S. (2012) In vitro and in vivo models of multiple sclerosis. CNS Neurol. Disord. Drug Targets. 11: 570–588.
   PubMed Web of Science ®Google Scholar
• Peferoen, L. A. N., Breur, M., van de Berg, S., Peferoen-Baert, R., Boddeke, E. H. W. G. M., van der Valk, P., Pryce, G., van Noort, J. M., et al. (2016) Ageing and recurrent episodes of neuroinflammation promote progressive experimental autoimmune encephalomyelitis in Biozzi ABH mice. Immunology 149(2):146–156.
   PubMed Web of Science ®Google Scholar
• Behan, P. O., and Chaudhuri, A. (2014) EAE is not a useful model for demyelinating disease. Mult. Scler. Relat. Disord. 3(5):565–574.
   PubMed Web of Science ®Google Scholar
• Dutta, R., and Trapp, B. D. (2014) Relapsing and progressive forms of multiple sclerosis. Curr. Opin. Neurol. 27(3):271–278.
   PubMed Web of Science ®Google Scholar
• Waller, R., Woodroofe, M. N., Wharton, S. B., Ince, P. G., Francese, S., Heath, P. R., Cudzich-Madry, A., et al. (2016) Gene expression profiling of the astrocyte transcriptome in multiple sclerosis normal appearing white matter reveals a neuroprotective role. J. Neuroimmunol. 299: 139–146.
   PubMed Web of Science ®Google Scholar
• Farias, A. S., Pradella, F., Schmitt, A., Santos, L. M. B., and Martins-de-Souza, D. (2014) Ten years of proteomics in multiple sclerosis. Proteomics 14(4–5):467–480.
   PubMed Web of Science ®Google Scholar
• Del Boccio, P., Rossi, C., di Ioia, M., Cicalini, I., Sacchetta, P., and Pieragostino, D. (2016) Integration of metabolomics and proteomics in multiple sclerosis: From biomarkers discovery to personalized medicine. Proteomics - Clin. Appl. 10(4):470–484.
   PubMed Web of Science ®Google Scholar
• Choo, L. P., Jackson, M., Halliday, W. C., and Mantsch, H. H. (1993) Infrared spectroscopic characterisation of multiple sclerosis plaques in the human central nervous system. Biochim. Biophys. Acta. 1182(3):333–337.
   PubMed Web of Science ®Google Scholar
• LeVine, S. M., and Wetzel, D. (1998) Chemical analysis of multiple sclerosis lesions by FT-IR microspectroscopy. Free Radic. Biol. Med. 25(1):33–41.
   PubMed Web of Science ®Google Scholar
• Poon, K. W., Brideau, C., Teo, W., Schenk, G. J., Klaver, R., Klauser, A. M., Kawasoe, J. H., Geurts, J. J. G., and Sty, P. K. (2013) Investigation of human multiple sclerosis lesions using high resolution spectrally unmixed CARS microscopy. Paper presented at the Proc. SPIE 8565, Photonic Ther. Diagnostics IX 85654V. From Conference Volume 8565: Photonic Therapeutics and Diagnostics IX. Edited by Nikiforos Kollias; Bernard Choi; Haishan Zeng; Hyun Wook Kang; Bodo E. Knudsen; Brian J. Wong; Justus F. Ilgner; Melissa J. Suter; Stephen Lam; Matthew Brenner; Kenton W. Gregory; Guillermo J. Tearney; Laura Marcu; Henry Hirschberg; Steen J. Madsen; Anita Mahadevan-Jansen; E. Duco Jansen; Andreas Mandelis; Michael D. Morris;San Francisco, California, USA | February 02, 2013 http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1662879&resultClick=1.
   Google Scholar
• Poon, K. W., Brideau, C., Schenk, G. J., Klaver, R., Klauser, A. M., Kawasoe, J. H., Geurts, J. J., and Stys, P. K. (2015) Quantitative biochemical investigation of various neuropathologies using high-resolution spectral CARS microscopy. Paper presented at the Proc. SPIE 9305, Opt. Tech. Neurosurgery, Neurophotonics, Optogenetics II 930504. From Conference Volume 9305: Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics II. Edited by Henry Hirschberg; Steen J. Madsen; E. Duco Jansen; Qingming Luo; Samarendra K. Mohanty; Nitish V. Thakor; San Francisco, California, United States | February 07, 2015 http://proceedings.spiedigitallibrary.org/proceeding.aspx? articleid=2199486.
   Google Scholar
• Heraud, P., Caine, S., Campanale, N., Karnezis, T., Mcnaughton, D., Wood, B. R., Tobin, M. J., and Bernard, C. C. A. (2010) Early detection of the chemical changes occurring during the induction and prevention of autoimmune-mediated demyelination detected by FT-IR imaging. Neuroimage 49(2):1180–1189.
   PubMed Web of Science ®Google Scholar
• Heraud, P., Caine, S., Campanale, N., Karnezis, T., Mcnaughton, D., Wood, B. R., Tobin, M. J., and Bernard, C. C. A. (2010) Early detection of the chemical changes occurring during the induction and prevention of autoimmune-mediated demyelination detected by FT-IR imaging. Neuroimage 49(2):1180–1189.
   PubMed Web of Science ®Google Scholar
• Fu, Y., Wang, H., Huff, T. B., Shi, R., and Cheng, J.-X. (2008) Coherent anti-Stokes Raman scattering imaging of myelin degradation reveals a calcium-dependent pathway in lyso-PtdCho-induced demyelination. J. Neurosci. Res. 85(13):2870–2881.
   Web of Science ®Google Scholar
• Fu, Y., Frederick, T. J., Huff, T. B., Goings, G. E., Miller, S. D., and Cheng, J.-X. (2011) Paranodal myelin retraction in relapsing experimental autoimmune encephalomyelitis visualized by coherent anti-Stokes Raman scattering microscopy Paranodal myelin retraction in relapsing experimental autoimmune encephalomyelitis visualized by coherent ant. J. Biomed. Opt. 16(10):106006–1:10.
   Web of Science ®Google Scholar
• Imitola, J., Côté, D., Rasmussen, S., Xie, X. S., Liu, Y., Chitnis, T., Sidman, R. L., Lin, C. P., and Khoury, S. J. (2011) Multimodal coherent anti-Stokes Raman scattering microscopy reveals microglia-associated myelin and axonal dysfunction in multiple sclerosis-like lesions in mice. J. Biomed. Opt. 16(2):21109.
   Web of Science ®Google Scholar
• Wang, C., Wu, C., Popescu, D., Zhu, J., Macklin, W., Miller, R., and Wang, Y. (2011) Longitudinal near infrared imaging of myelination. J. Neurosci. 31(7):2382–2390.
   PubMed Web of Science ®Google Scholar
• Ryzhikova, E., Kazakov, O., Halamkova, L., Celmins, D., Malone, P., Molho, E., Zimmerman, E. A., and Lednev, I. K. (2015) Raman spectroscopy of blood serum for Alzheimer's disease diagnostics: Specificity relative to other types of dementia. J. Biophotonics. 8(7):584–596.
   PubMed Web of Science ®Google Scholar
• Carmona, P., Molina, M., Calero, M., Bermejo-Pareja, F., Martínez-Martín, P., and Toledano, A. (2013) Discrimination analysis of blood plasma associated with Alzheimer's disease using vibrational spectroscopy. J. Alzheimers. Dis. 34: 911–920.
   PubMed Web of Science ®Google Scholar
• Peuchant, E., Richard-Harston, S., Bourdel-Marchasson, I., Dartigues, J. F., Letenneur, L., Barberger-Gateau, P., Arnaud-Dabernat, S., and Daniel, J. Y. (2008) Infrared spectroscopy: A reagent-free method to distinguish Alzheimer's disease patients from normal-aging subjects. Transl. Res. 152(3):103–112.
   PubMed Web of Science ®Google Scholar
• Griebe, M., Daffertshofer, M., Stroick, M., Syren, M., Ahmad-Nejad, P., Neumaier, M., Backhaus, J., et al. (2007) Infrared spectroscopy: A new diagnostic tool in Alzheimer disease. Neurosci. Lett. 420(1):29–33.
   PubMed Web of Science ®Google Scholar
• Mordechai, S., Shufan, E., Porat Katz, B. S., and Salman, A. (2017) Early diagnosis of Alzheimer's disease using infrared spectroscopy of isolated blood samples followed by multivariate analyses. Analyst, 2017, 142, 1276-1284. http://pubs.rsc.org/en/Content/ArticleLanding/2017/AN/C6AN01580H#!divAbstract.
   PubMed Web of Science ®Google Scholar
• Eysel, H. H., Jackson, M., Nikulin, A., Somorjai, R. L., Thomson, G. T. D., and Mantsch, H. H. (1997) A novel diagnostic test for arthritis: Multivariate analysis of infrared spectra of synovial fluid. Biospectroscopy 3(2):161–167.
   Google Scholar
• Esmonde-White, K. A., Mandair, G. S., Raaii, F., Jacobson, J. A., Miller, S., Urquhart, A. G., Roessler, B. J., and Morris, M. D. (2009) Raman spectroscopy of synovial fluid as a tool for diagnosing osteoarthritis. J. Biomed. Opt. 14(3):1–17.
   Web of Science ®Google Scholar
• Ildiz, G. O., Arslan, M., Unsalan, O., Araujo-andrade, C., Kurt, E., Karatepe, H. T., Yilmaz, A., et al. (2016) FT-IR spectroscopy and multivariate analysis as an auxiliary tool for diagnosis of mental disorders: Bipolar and schizophrenia cases. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 152: 551–556.
   PubMed Web of Science ®Google Scholar
• Bélanger, E., Henry, F. P., Vallée, R., Randolph, M. A., Kochevar, I. E., Winograd, J. M., Lin, C. P., and Côté, D. (2011) In vivo evaluation of demyelination and remyelination in a nerve crush injury model. Biomed. Opt. Express. 2(9):2698–2708.
   PubMed Web of Science ®Google Scholar
• Shi, Y., Sun, W., McBride, J. J., Cheng, J. X., and Shi, R. (2011) Acrolein induces myelin damage in mammalian spinal cord. J. Neurochem. 117(3):554–564.
   PubMed Web of Science ®Google Scholar
• Bégin, S., Bélanger, E., Laffray, S., Aubé, B., Chamma, É., Bélisle, J., Lacroix, S., De Koninck, Y., and Côté, D. (2013) Local assessment of myelin health in a multiple sclerosis mouse model using a 2D Fourier transform approach. Biomed. Opt. Express. 4(10):2003.
   PubMed Web of Science ®Google Scholar