{"title":"自身免疫性脑炎诊断的新一代方法:多组学视角","authors":"Mingjing Zhao , Jing Li , LiWen Jin , Zhaohui Luo","doi":"10.1016/j.jneuroim.2025.578740","DOIUrl":null,"url":null,"abstract":"<div><div>Autoimmune encephalitis (AE) is a group of autoantibody-mediated inflammatory disorders of the central nervous system (CNS) that often present with cognitive deficits, behavioral abnormalities, and seizures. The subtypical variability of AE calls for individualized treatments based on specific antibodies and clinical manifestations. Early and accurate diagnosis and standardized treatment are essential to improve prognosis and promote neurological recovery. Currently, clinical diagnosis of AE relies on the detection of specific antibodies in serum and cerebrospinal fluid (CSF). However, there is usually a delay in this approach, leading to late initiation of treatment, which may result in patients' disease progression yet still not effectively treated. For example, for some specific subtypes of AE, existing antibody tests may not capture all potential markers in time, making early diagnosis and subtyping challenging. In addition, certain AE patients have low antibody levels that make it difficult to confirm the diagnosis with conventional assays, resulting in a delayed diagnosis. Therefore, there is an urgent need for new methods to improve the efficiency of differential diagnosis based on the sensitivity, specificity, or accessibility issues faced by antibody-based diagnosis.</div><div>With the help of multi-omics technologies, potential biomarkers of AE can be identified through genomic, proteomic, and metabolomic analyses, leading to improved diagnosis. Multi-omics technologies have demonstrated great potential in the diagnosis and treatment of AE, especially in revealing new markers and improving early diagnosis, but the limitations of technological complexity high cost, and the problem of clinical applicability still need to be overcome. In the future, with technological advances and cost reductions, multi-omics approaches are expected to become an important tool for the early diagnosis of AE and promote more accurate and timely treatment.</div></div>","PeriodicalId":16671,"journal":{"name":"Journal of neuroimmunology","volume":"408 ","pages":"Article 578740"},"PeriodicalIF":2.5000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Next-generation approaches in autoimmune encephalitis diagnosis: A multi-omics perspective\",\"authors\":\"Mingjing Zhao , Jing Li , LiWen Jin , Zhaohui Luo\",\"doi\":\"10.1016/j.jneuroim.2025.578740\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Autoimmune encephalitis (AE) is a group of autoantibody-mediated inflammatory disorders of the central nervous system (CNS) that often present with cognitive deficits, behavioral abnormalities, and seizures. The subtypical variability of AE calls for individualized treatments based on specific antibodies and clinical manifestations. Early and accurate diagnosis and standardized treatment are essential to improve prognosis and promote neurological recovery. Currently, clinical diagnosis of AE relies on the detection of specific antibodies in serum and cerebrospinal fluid (CSF). However, there is usually a delay in this approach, leading to late initiation of treatment, which may result in patients' disease progression yet still not effectively treated. For example, for some specific subtypes of AE, existing antibody tests may not capture all potential markers in time, making early diagnosis and subtyping challenging. In addition, certain AE patients have low antibody levels that make it difficult to confirm the diagnosis with conventional assays, resulting in a delayed diagnosis. Therefore, there is an urgent need for new methods to improve the efficiency of differential diagnosis based on the sensitivity, specificity, or accessibility issues faced by antibody-based diagnosis.</div><div>With the help of multi-omics technologies, potential biomarkers of AE can be identified through genomic, proteomic, and metabolomic analyses, leading to improved diagnosis. Multi-omics technologies have demonstrated great potential in the diagnosis and treatment of AE, especially in revealing new markers and improving early diagnosis, but the limitations of technological complexity high cost, and the problem of clinical applicability still need to be overcome. In the future, with technological advances and cost reductions, multi-omics approaches are expected to become an important tool for the early diagnosis of AE and promote more accurate and timely treatment.</div></div>\",\"PeriodicalId\":16671,\"journal\":{\"name\":\"Journal of neuroimmunology\",\"volume\":\"408 \",\"pages\":\"Article 578740\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of neuroimmunology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165572825002218\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of neuroimmunology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165572825002218","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Next-generation approaches in autoimmune encephalitis diagnosis: A multi-omics perspective
Autoimmune encephalitis (AE) is a group of autoantibody-mediated inflammatory disorders of the central nervous system (CNS) that often present with cognitive deficits, behavioral abnormalities, and seizures. The subtypical variability of AE calls for individualized treatments based on specific antibodies and clinical manifestations. Early and accurate diagnosis and standardized treatment are essential to improve prognosis and promote neurological recovery. Currently, clinical diagnosis of AE relies on the detection of specific antibodies in serum and cerebrospinal fluid (CSF). However, there is usually a delay in this approach, leading to late initiation of treatment, which may result in patients' disease progression yet still not effectively treated. For example, for some specific subtypes of AE, existing antibody tests may not capture all potential markers in time, making early diagnosis and subtyping challenging. In addition, certain AE patients have low antibody levels that make it difficult to confirm the diagnosis with conventional assays, resulting in a delayed diagnosis. Therefore, there is an urgent need for new methods to improve the efficiency of differential diagnosis based on the sensitivity, specificity, or accessibility issues faced by antibody-based diagnosis.
With the help of multi-omics technologies, potential biomarkers of AE can be identified through genomic, proteomic, and metabolomic analyses, leading to improved diagnosis. Multi-omics technologies have demonstrated great potential in the diagnosis and treatment of AE, especially in revealing new markers and improving early diagnosis, but the limitations of technological complexity high cost, and the problem of clinical applicability still need to be overcome. In the future, with technological advances and cost reductions, multi-omics approaches are expected to become an important tool for the early diagnosis of AE and promote more accurate and timely treatment.
期刊介绍:
The Journal of Neuroimmunology affords a forum for the publication of works applying immunologic methodology to the furtherance of the neurological sciences. Studies on all branches of the neurosciences, particularly fundamental and applied neurobiology, neurology, neuropathology, neurochemistry, neurovirology, neuroendocrinology, neuromuscular research, neuropharmacology and psychology, which involve either immunologic methodology (e.g. immunocytochemistry) or fundamental immunology (e.g. antibody and lymphocyte assays), are considered for publication.