ArticleScientific reports2016
Antibodies from multiple sclerosis patients preferentially recognize hyperglucosylated adhesin of non-typeable Haemophilus influenzae.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 30 citations in OpenAlex.
- Antioxidant Polymeric and Non-Polymeric Nanoformulations for the Treatment of Autoimmune Diseases.Current issues in molecular biology · 2026Review
- Detection of Diagnostic Antibodies in Immune-Mediated Diseases: A Focus on Antigens and Technologies.Chembiochem : a European journal of chemical biology · 2026Review
- Alterations of the nasal and oral microbiota in multiple sclerosis.EBioMedicine · 2025Article
- Potential clinical implications of molecular mimicry-induced autoimmunity.Immunity, inflammation and disease · 2024Review
- B-cell-depletion reverses dysbiosis of the microbiome in multiple sclerosis patients.Scientific reports · 2022Observational
- Selective Capture of Anti-N-glucosylated NTHi Adhesin Peptide Antibodies by a Multivalent Dextran Conjugate.Chembiochem : a European journal of chemical biology · 2022Article
- Role of Helical Structure in MBP Immunodominant Peptides for Efficient IgM Antibody Recognition in Multiple Sclerosis.Frontiers in chemistry · 2022Article
- Protein identification by nanopore peptide profiling.Nature communications · 2021Article
- New Insights into Multiple Sclerosis Mechanisms: Lipids on the Track to Control Inflammation and Neurodegeneration.International journal of molecular sciences · 2021Review
- Semiprocessive Hyperglycosylation of Adhesin by Bacterial ProteinACS chemical biology · 2021Article
- Synthesis of O-1- O-6 Substituted Positional Isomers of d-Glucose-Thioether Ligands and Their Ruthenium Polypyridyl Conjugates.The Journal of organic chemistry · 2018Article
- Evaluation of anti α-d-GlcRSC advances · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In autoimmune diseases, there have been proposals that exogenous “molecular triggers”, i.e., specific ‘non-self antigens’ accompanying infectious agents, might disrupt control of the adaptive immune system resulting in serious pathologies. The etiology of multiple sclerosis (MS) remains unclear. However, epidemiologic data suggest that exposure to infectious agents may be associated with increased MS risk and progression may be linked to exogenous, bacterially-derived, antigenic molecules, mimicking mammalian cell surface glycoconjugates triggering autoimmune responses. Previously, antibodies specific to a gluco-asparagine (N-Glc) glycopeptide, CSF114(N-Glc), were identified in sera of an MS patient subpopulation. Since the human glycoproteome repertoire lacks this uniquely modified amino acid, we turned our attention to bacteria, i.e., Haemophilus influenzae, expressing cell-surface adhesins including N-Glc, to establish a connection between H. influenzae infection and MS. We exploited the biosynthetic machinery from the opportunistic pathogen H. influenzae (and the homologous enzymes from A. pleuropneumoniae) to produce a unique set of defined glucosylated adhesin proteins. Interestingly we revealed that a hyperglucosylated protein domain, based on the cell-surface adhesin HMW1A, is preferentially recognized by antibodies from sera of an MS patient subpopulation. In conclusion the hyperglucosylated adhesin is the first example of an N-glucosylated native antigen that can be considered a relevant candidate for triggering pathogenic antibodies in MS.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.