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Shang P, Zhu M, Wang Y, Zheng X, Wu X, Zhu J, Feng J, Zhang HL. Axonal variants of Guillain-Barré syndrome: an update. J Neurol 2020; 268:2402-2419. [PMID: 32140865 DOI: 10.1007/s00415-020-09742-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 01/30/2020] [Accepted: 01/31/2020] [Indexed: 12/11/2022]
Abstract
Axonal variants of Guillain-Barré syndrome (GBS) mainly include acute motor axonal neuropathy, acute motor and sensory axonal neuropathy, and pharyngeal-cervical-brachial weakness. Molecular mimicry of human gangliosides by a pathogen's lipooligosaccharides is a well-established mechanism for Campylobacter jejuni-associated GBS. New triggers of the axonal variants of GBS (axonal GBS), such as Zika virus, hepatitis viruses, intravenous administration of ganglioside, vaccination, and surgery, are being identified. However, the pathogenetic mechanisms of axonal GBS related to antecedent bacterial or viral infections other than Campylobacter jejuni remain unknown. Currently, autoantibody classification and serial electrophysiology are cardinal approaches to differentiate axonal GBS from the prototype of GBS, acute inflammatory demyelinating polyneuropathy. Newly developed technologies, including metabolite analysis, peripheral nerve ultrasound, and feature selection via artificial intelligence are facilitating more accurate diagnosis of axonal GBS. Nevertheless, some key issues, such as genetic susceptibilities, remain unanswered and moreover, current therapies bear limitations. Although several therapies have shown considerable benefits to experimental animals, randomized controlled trials are still needed to validate their efficacy.
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Affiliation(s)
- Pei Shang
- Department of Neurology, First Hospital of Jilin University, Xinmin Street 71#, Changchun, 130021, China
| | - Mingqin Zhu
- Department of Neurology, First Hospital of Jilin University, Xinmin Street 71#, Changchun, 130021, China
| | - Ying Wang
- Department of Neurology, First Hospital of Jilin University, Xinmin Street 71#, Changchun, 130021, China
| | - Xiangyu Zheng
- Department of Neurology, First Hospital of Jilin University, Xinmin Street 71#, Changchun, 130021, China
| | - Xiujuan Wu
- Department of Neurology, First Hospital of Jilin University, Xinmin Street 71#, Changchun, 130021, China
| | - Jie Zhu
- Department of Neurology, First Hospital of Jilin University, Xinmin Street 71#, Changchun, 130021, China.,Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Jiachun Feng
- Department of Neurology, First Hospital of Jilin University, Xinmin Street 71#, Changchun, 130021, China.
| | - Hong-Liang Zhang
- Department of Life Sciences, National Natural Science Foundation of China, Shuangqing Road 83#, Beijing, 100085, China.
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3
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Zuilhof H. Fighting Cholera One-on-One: The Development and Efficacy of Multivalent Cholera-Toxin-Binding Molecules. Acc Chem Res 2016; 49:274-85. [PMID: 26760438 DOI: 10.1021/acs.accounts.5b00480] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A series of diseases, ranging from cholera via travelers' diarrhea to hamburger disease, are caused by bacterially produced toxic proteins. In particular, a toxic protein unit is brought into the host cell upon binding to specific membrane-bound oligosaccharides on the host cell membrane. For example, the protein that causes cholera, cholera toxin (CT), has five identical, symmetrically placed binding pockets (B proteins), on top of which the toxic A protein resides. A promising strategy to counteract the devastating biological effects of this AB5 protein involves the development of inhibitors that can act as mimics of membrane-bound GM1 molecules, i.e., that can bind CT strongly and selectively. To reach this goal, two features are essential: First of all, the inhibitor should display oligosaccharides that resemble as much as possible the naturally occurring cell-surface pentasaccharide onto which CT normally binds, the so-called GM1 sugar (the oligosaccharide part of which is then labeled GM1os). Second, the inhibitor should be able to bind CT via multivalent interactions so as to bind CT as strongly as possible to allow for a real competition with the cell-membrane-bound GM1 molecules. In this Account, we present elements of the path that leads to strong CT inhibition by outlining the roles of multivalency and the development and use of GM1 mimics. First, multivalency effects were investigated using "sugar-coated" platforms, ranging from dendritic structures with up to eight oligosaccharides to platforms that mimicked the fivefold symmetry of CT itself. The latter goal was reached either via synthetic scaffolds like corannulene or calix[5]arene or via the development of a neolectin CT mimic that itself carries five GM1os groups. Second, the effect of the nature of the oligosaccharide appended to this platform was investigated via the use of oligosaccharides of increasing complexity, from galactose and lactose to the tetrasaccharide GM2os and eventually to GM1os itself. The combination of these threads gives rise to a series of inhibitors that can strongly bind CT, with IC50 values below 100 pM, and in some cases can even bind one-on-one.
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Affiliation(s)
- Han Zuilhof
- Laboratory
of Organic Chemistry, Wageningen University, Dreijenplein 8, 6703 HB Wageningen, The Netherlands
- School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
- Department
of Chemical and Materials Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
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9
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Bernardi A, Jiménez-Barbero J, Casnati A, De Castro C, Darbre T, Fieschi F, Finne J, Funken H, Jaeger KE, Lahmann M, Lindhorst TK, Marradi M, Messner P, Molinaro A, Murphy PV, Nativi C, Oscarson S, Penadés S, Peri F, Pieters RJ, Renaudet O, Reymond JL, Richichi B, Rojo J, Sansone F, Schäffer C, Turnbull WB, Velasco-Torrijos T, Vidal S, Vincent S, Wennekes T, Zuilhof H, Imberty A. Multivalent glycoconjugates as anti-pathogenic agents. Chem Soc Rev 2013; 42:4709-27. [PMID: 23254759 PMCID: PMC4399576 DOI: 10.1039/c2cs35408j] [Citation(s) in RCA: 424] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Multivalency plays a major role in biological processes and particularly in the relationship between pathogenic microorganisms and their host that involves protein-glycan recognition. These interactions occur during the first steps of infection, for specific recognition between host and bacteria, but also at different stages of the immune response. The search for high-affinity ligands for studying such interactions involves the combination of carbohydrate head groups with different scaffolds and linkers generating multivalent glycocompounds with controlled spatial and topology parameters. By interfering with pathogen adhesion, such glycocompounds including glycopolymers, glycoclusters, glycodendrimers and glyconanoparticles have the potential to improve or replace antibiotic treatments that are now subverted by resistance. Multivalent glycoconjugates have also been used for stimulating the innate and adaptive immune systems, for example with carbohydrate-based vaccines. Bacteria present on their surfaces natural multivalent glycoconjugates such as lipopolysaccharides and S-layers that can also be exploited or targeted in anti-infectious strategies.
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Affiliation(s)
- Anna Bernardi
- Università di Milano, Dipartimento di Chimica Organica e Industriale and Centro di Eccellenza CISI, via Venezian 21, 20133 Milano, Italy
| | | | - Alessandro Casnati
- Università degli Studi di Parma, Dipartimento di Chimica, Parco Area delle Scienze 17/a, 43100 Parma, Italy
| | - Cristina De Castro
- Department of Chemical Sciences, Università di Napoli Federico II, Complesso Universitario Monte Santangelo, Via Cintia 4, I-80126 Napoli, Italy
| | - Tamis Darbre
- Department of Chemistry and Biochemistry, University of Berne, Freiestrasse 3, CH-3012, Berne, Switzerland
| | - Franck Fieschi
- Institut de Biologie Structurale, 41 rue Jules Horowitz, 38027 Grenoble Cedex 1, France
| | - Jukka Finne
- Department of Biosciences, University of Helsinki, P. O. Box 56, FI-00014 Helsinki, Finland
| | - Horst Funken
- Institute of Molecular Enzyme Technology, Heinrich-Heine-University Düsseldorf, Forschungszentrum Jülich, D-42425 Jülich, Germany
| | - Karl-Erich Jaeger
- Institute of Molecular Enzyme Technology, Heinrich-Heine-University Düsseldorf, Forschungszentrum Jülich, D-42425 Jülich, Germany
| | - Martina Lahmann
- School of Chemistry, Bangor University, Deiniol Road Bangor, Gwynedd LL57 2UW, UK
| | - Thisbe K. Lindhorst
- Otto Diels Institute of Organic Chemistry, Christiana Albertina University of Kiel, Otto-Hahn-Platz 3-4, D-24098 Kiel, Germany
| | - Marco Marradi
- Laboratory of GlycoNanotechnology, CIC biomaGUNE and CIBER-BBN, P1 de Miramón 182, 20009 San Sebastián, Spain
| | - Paul Messner
- Department of NanoBiotechnology, NanoGlycobiology Unit, University of Natural Resources and Life Sciences, Muthgasse 11, A-1190 Vienna, Austria
| | - Antonio Molinaro
- Department of Chemical Sciences, Università di Napoli Federico II, Complesso Universitario Monte Santangelo, Via Cintia 4, I-80126 Napoli, Italy
| | - Paul V. Murphy
- School of Chemistry, National University of Ireland, Galway, University Road, Galway, Ireland
| | - Cristina Nativi
- Dipartimento di Chimica, Universitá degli Studi di Firenze, Via della Lastruccia, 13, I-50019 Sesto Fiorentino – Firenze, Italy
| | - Stefan Oscarson
- Centre for Synthesis and Chemical Biology, UCD School of Chemistry and Chemical Biology, University College Dublin, Belfield, Dublin 4, Ireland
| | - Soledad Penadés
- Laboratory of GlycoNanotechnology, CIC biomaGUNE and CIBER-BBN, P1 de Miramón 182, 20009 San Sebastián, Spain
| | - Francesco Peri
- Organic and Medicinal Chemistry, University of Milano-Bicocca, Piazza della Scienza, 2, 20126 Milano, Italy
| | - Roland J. Pieters
- Department of Medicinal Chemistry and Chemical Biology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, P.O. Box 80082, 3508 TB Utrecht, The Netherlands
| | - Olivier Renaudet
- Département de Chimie Moléculaire, UMR-CNRS 5250 & ICMG FR 2607, Université Joseph Fourier, BP53, 38041 Grenoble Cedex 9, France
| | - Jean-Louis Reymond
- Department of Chemistry and Biochemistry, University of Berne, Freiestrasse 3, CH-3012, Berne, Switzerland
| | - Barbara Richichi
- Dipartimento di Chimica, Universitá degli Studi di Firenze, Via della Lastruccia, 13, I-50019 Sesto Fiorentino – Firenze, Italy
| | - Javier Rojo
- Glycosystems Laboratory, Instituto de Investigaciones Químicas, CSIC – Universidad de Sevilla, Av. Américo Vespucio, 49, Seville 41092, Spain
| | - Francesco Sansone
- Università degli Studi di Parma, Dipartimento di Chimica, Parco Area delle Scienze 17/a, 43100 Parma, Italy
| | - Christina Schäffer
- Department of NanoBiotechnology, NanoGlycobiology Unit, University of Natural Resources and Life Sciences, Muthgasse 11, A-1190 Vienna, Austria
| | - W. Bruce Turnbull
- School of Chemistry and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, UK
| | | | - Sébastien Vidal
- Institut de Chimie et Biochimie Moléculaires et Supramoléculaires UMR 5246, CNRS, Université Claude Bernard Lyon 1, 43 Boulevard du 11 Novembre 1918, F-69622 Villeurbanne, France
| | - Stéphane Vincent
- University of Namur (FUNDP), Département de Chimie, Laboratoire de Chimie Bio-Organique, rue de Bruxelles 61, B-5000 Namur, Belgium
| | - Tom Wennekes
- Laboratory of Organic Chemistry, Wageningen University, Dreijenplein 8, 6703 HB Wageningen, The Netherlands
| | - Han Zuilhof
- Laboratory of Organic Chemistry, Wageningen University, Dreijenplein 8, 6703 HB Wageningen, The Netherlands
- Department of Chemical and Materials Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Anne Imberty
- Centre de Recherche sur les Macromolécules Végétales (CERMAV – CNRS), affiliated with Grenoble-Université and ICMG, F-38041 Grenoble, France
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Galban-Horcajo F, Fitzpatrick AM, Hutton AJ, Dunn SM, Kalna G, Brennan KM, Rinaldi S, Yu RK, Goodyear CS, Willison HJ. Antibodies to heteromeric glycolipid complexes in multifocal motor neuropathy. Eur J Neurol 2012; 20:62-70. [PMID: 22727042 DOI: 10.1111/j.1468-1331.2012.03767.x] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2012] [Accepted: 04/24/2012] [Indexed: 11/29/2022]
Abstract
BACKGROUND Measurement of anti-GM1 IgM antibodies in multifocal motor neuropathy (MMN) sera is confounded by relatively low sensitivity that limits clinical usefulness. Combinatorial assay methods, in which antibodies react to heteromeric complexes of two or more glycolipids, are being increasingly applied to this area of diagnostic testing. METHODS A newly developed combinatorial glycoarray able to identify antibodies to 45 different heteromeric glycolipid complexes and their 10 individual glycolipid components was applied to a randomly selected population of 33 MMN cases and 57 normal or disease controls. Comparison with an enzyme-linked immunosorbent assay (ELISA) was conducted for selected single glycolipids and their complexes. RESULTS By ELISA, 22/33 MMN cases had detectable anti-GM1 IgM antibodies, whereas 19/33 MMN samples were positive for anti-GM1 antibodies by glycoarray. Analysis of variance (anova) revealed that of the 55 possible single glycolipids and their 1:1 complexes, antibodies to the GM1:galactocerebroside (GM1:GalC) complex were most significantly associated with MMN, returning 33/33 MMN samples as positive by glycoarray and 29/33 positive by ELISA. Regression analysis revealed a high correlation in absolute values between ELISA and glycoarray. Receiver operator characteristic analysis revealed insignificantly different diagnostic performance between the two methods. However, the glycoarray appeared to offer slightly improved sensitivity by identifying antibodies in four ELISA-negative samples. CONCLUSIONS The use of combinatorial glycoarray or ELISA increased the diagnostic sensitivity of anti-glycolipid antibody testing in this cohort of MMN cases, without significantly affecting specificity, and may be a useful assay modification for routine clinical screening.
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Affiliation(s)
- F Galban-Horcajo
- Glasgow Biomedical Research Centre, College of Medical, Veterinary and Life Science, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK
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