Kevin Michalski, Taha Abdulla, Sam Kleeman, Lars Schmidl, Ricardo Gómez, Noriko Simorowski, Francesca Vallese, Harald Prüss, Manfred Heckmann, Christian Geis, Hiro Furukawa
{"title":"Structural and functional mechanisms of anti-NMDAR autoimmune encephalitis","authors":"Kevin Michalski, Taha Abdulla, Sam Kleeman, Lars Schmidl, Ricardo Gómez, Noriko Simorowski, Francesca Vallese, Harald Prüss, Manfred Heckmann, Christian Geis, Hiro Furukawa","doi":"10.1038/s41594-024-01386-4","DOIUrl":null,"url":null,"abstract":"Autoantibodies against neuronal membrane proteins can manifest in autoimmune encephalitis, inducing seizures, cognitive dysfunction and psychosis. Anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis is the most dominant autoimmune encephalitis; however, insights into how autoantibodies recognize and alter receptor functions remain limited. Here we determined structures of human and rat NMDARs bound to three distinct patient-derived antibodies using single-particle electron cryo-microscopy. These antibodies bind different regions within the amino-terminal domain of the GluN1 subunit. Through electrophysiology, we show that all three autoantibodies acutely and directly reduced NMDAR channel functions in primary neurons. Antibodies show different stoichiometry of binding and antibody–receptor complex formation, which in one antibody, 003-102, also results in reduced synaptic localization of NMDARs. These studies demonstrate mechanisms of diverse epitope recognition and direct channel regulation of anti-NMDAR autoantibodies underlying autoimmune encephalitis. Anti-NMDA receptor encephalitis is the most common autoimmune encephalitis. Michalski et al. reveal epitope diversity, conformational changes and functional impacts of the autoantibodies using cryo-EM and electrophysiology.","PeriodicalId":49141,"journal":{"name":"Nature Structural & Molecular Biology","volume":"31 12","pages":"1975-1986"},"PeriodicalIF":12.5000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Structural & Molecular Biology","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41594-024-01386-4","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Autoantibodies against neuronal membrane proteins can manifest in autoimmune encephalitis, inducing seizures, cognitive dysfunction and psychosis. Anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis is the most dominant autoimmune encephalitis; however, insights into how autoantibodies recognize and alter receptor functions remain limited. Here we determined structures of human and rat NMDARs bound to three distinct patient-derived antibodies using single-particle electron cryo-microscopy. These antibodies bind different regions within the amino-terminal domain of the GluN1 subunit. Through electrophysiology, we show that all three autoantibodies acutely and directly reduced NMDAR channel functions in primary neurons. Antibodies show different stoichiometry of binding and antibody–receptor complex formation, which in one antibody, 003-102, also results in reduced synaptic localization of NMDARs. These studies demonstrate mechanisms of diverse epitope recognition and direct channel regulation of anti-NMDAR autoantibodies underlying autoimmune encephalitis. Anti-NMDA receptor encephalitis is the most common autoimmune encephalitis. Michalski et al. reveal epitope diversity, conformational changes and functional impacts of the autoantibodies using cryo-EM and electrophysiology.
期刊介绍:
Nature Structural & Molecular Biology is a comprehensive platform that combines structural and molecular research. Our journal focuses on exploring the functional and mechanistic aspects of biological processes, emphasizing how molecular components collaborate to achieve a particular function. While structural data can shed light on these insights, our publication does not require them as a prerequisite.