Completed Brain & Nervous System Infection & Immunity

The structural and functional diversity of anti-glycolipid antibody repertoires and their nerve binding domains in human autoimmune neuropathy.

In plain English

AI plain-English summary

Antibodies meant to attack infections are instead binding to clusters of fat-and-sugar molecules on nerve cells, stripping away the protective insulation and causing paralysis in people with autoimmune neuropathy. Current diagnostic tests look for antibodies that attack single glycolipid molecules, but researchers have discovered that many harmful antibodies only recognise pairs of glycolipids working together. This means existing tests miss a significant portion of the antibodies actually driving nerve damage. The team has developed new analytical methods and genetically modified mice to systematically map these overlooked antibody specificities. If successful, this fundamental science project will reveal why some patients with identical antibody profiles develop vastly different symptoms, and why others respond unpredictably to treatment. The work could lead to more accurate diagnostic panels that detect complex-dependent antibodies, allowing clinicians to classify neuropathy subtypes by their actual molecular cause rather than by vague clinical descriptions. Better classification would improve prognosis and could guide decisions about immunotherapy—which patients are likely to benefit and which are not. This is early-stage discovery research; any clinical applications remain years away, but understanding the hidden diversity of these antibodies is a necessary first step.

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The concept that formation of heteromeric complexes between two different glycolipids might influence antibody binding has long been suspected, but has never been systematically investigated in a clinically relevant context. In autoimmune neuropathy driven by anti-glycolipid antibodies, this is becoming of major importance as we uncover countless examples of new autoantibody specificities whose antigen binding capability is entirely dependent upon the formation of complexes between different gly colipids. This expands the extensive existing data on single glycolipids as the key antigens in these disorders. Three patterns of neuropathy-associated anti-complex autoantibody binding have emerged to date: complex enhanced, complex inhibited and complex independent, all of which are likely to profoundly influence pathogenic capability, and thus clinical classification and prognostics. New analytical methods and transgenic mouse models we have developed now provide a tractable route into disco vering complex-dependent autoantibody specificities and their neuropathological significance. Our key goals are to map the relationships between clinical phenotypes and anti-complex antibody patterns and to explore pathological effects of clinically-relevant complexes in mouse models. In doing so we will build a comprehensive understanding of complex recognition by autoantibodies, and how these antibodies underlie the undiscovered pathogenic pathways in human autoimmune neuropathy.

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Researchers

Hugh Willison (EPMC Awardee)

Related Research

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Programme Grant

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