Polyreactive Monoclonal Autoantibodies in Multiple Sclerosis: Functional Selection from Phage Display Library and Characterization by Deep Sequencing Analysis
- Authors: Lomakin Y.A.1, Zakharova M.Y.1, Belogurov A.A.1,2, Bykova N.A.3,4, Dronina M.A.1, Tupikin A.E.5,6, Knorre V.D.1, Boyko A.N.7,8, Favorov A.V.9,10,11, Kabilov M.R.5,6, Ponomarenko N.A.1, Gabibov A.G.1,2,12
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Affiliations:
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences
- Institute of Gene Biology, Russian Academy of Sciences
- Kharkevich Institute for Information Transmission Problems
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences
- Genomics Core Facility, Siberian Branch, Russian Academy of Sciences
- Moscow Multiple Sclerosis Center at the City Hospital #11
- Pirogov Russian National Research Medical University, Department of Fundamental and Clinical Neurology and Neurosurgery
- Vavilov Institute of General Genetics, Russian Academy of Sciences
- Department of Oncology, Division of Biostatistics and Bioinformatics, Johns Hopkins University School of Medicine
- State Research Institute of Genetics and Selection of Industrial Microorganisms GosNIIGenetika
- Faculty of Chemistry, Lomonosov Moscow State University
- Issue: Vol 5, No 4 (2013)
- Pages: 94-104
- Section: Research Articles
- URL: https://actanaturae.ru/2075-8251/article/view/10580
- DOI: https://doi.org/10.32607/20758251-2013-5-4-94-104
- ID: 10580
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Abstract
Multiple Sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system that primarily affects young and middle-aged people. It is widely accepted that B lymphocyte activation is required for MS progression. Despite the fact that the exact triggering mechanisms of MS remain enigmatic, one may suggest that MS can be induced by viral or bacterial infection in combination with specific genetic and environmental factors. Using deep sequencing and functional selection methodologies we characterized clones of poly- and cross-reactive antibodies that are capable of simultaneous recognition of viral proteins and autoantigens. The latter, in turn, possibly may trigger MS progression through molecular mimicry. It was identified that two cross-reactive antigens are probably recognized by light or heavy chains individually. According to the high structural homology between selected autoantibodies and a number of various antiviral IgGs, we suggest that a wide range of pathogens, instead of a single virus, be regarded as possible triggers of MS.
About the authors
Y. A. Lomakin
Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences
Author for correspondence.
Email: yasha.l@bk.ru
Russian Federation
M. Yu. Zakharova
Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences
Email: yasha.l@bk.ru
Russian Federation
A. A. Belogurov
Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences; Institute of Gene Biology, Russian Academy of Sciences
Email: yasha.l@bk.ru
Russian Federation
N. A. Bykova
Kharkevich Institute for Information Transmission Problems; Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University
Email: yasha.l@bk.ru
Russian Federation
M. A. Dronina
Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences
Email: yasha.l@bk.ru
Russian Federation
A. E. Tupikin
Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences; Genomics Core Facility, Siberian Branch, Russian Academy of Sciences
Email: yasha.l@bk.ru
Russian Federation
V. D. Knorre
Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences
Email: yasha.l@bk.ru
Russian Federation
A. N. Boyko
Moscow Multiple Sclerosis Center at the City Hospital #11; Pirogov Russian National Research Medical University, Department of Fundamental and Clinical Neurology and Neurosurgery
Email: yasha.l@bk.ru
Russian Federation
A. V. Favorov
Vavilov Institute of General Genetics, Russian Academy of Sciences; Department of Oncology, Division of Biostatistics and Bioinformatics, Johns Hopkins University School of Medicine; State Research Institute of Genetics and Selection of Industrial Microorganisms GosNIIGenetika
Email: yasha.l@bk.ru
Russian Federation
M. R. Kabilov
Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences; Genomics Core Facility, Siberian Branch, Russian Academy of Sciences
Email: yasha.l@bk.ru
Russian Federation
N. A. Ponomarenko
Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences
Email: yasha.l@bk.ru
Russian Federation
A. G. Gabibov
Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences; Institute of Gene Biology, Russian Academy of Sciences; Faculty of Chemistry, Lomonosov Moscow State University
Email: yasha.l@bk.ru
Russian Federation
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