{"title":"通过免疫球蛋白类转换模式的量化来改善莱姆病诊断的潜力。","authors":"Anna M Schotthoefer","doi":"10.1128/jcm.01020-25","DOIUrl":null,"url":null,"abstract":"<p><p>N. Nair, A. Marques , E. J. Horn, G. Brown et al., J Clin Microbiol 63:e0034725, 2025, https://doi.org/10.1128/jcm.00347-25 present data to demonstrate that infection by <i>Borrelia burgdorferi</i>, the primary causative agent of Lyme disease in the USA, leads to immunoglobulin class switching in antibodies specifically against the immunodominant antigen, VlsE (variable major protein-like sequence, expressed), in a predictable pattern between the early acute (<1 month illness duration) to late-stage Lyme arthritis stages. Detection of anti-VlsE isotypes in sera was highly specific to Lyme disease patients, and the frequencies and abundances of IgM, IgG, and IgA isotypes progressed in a pattern consistent with the development of an anti-<i>B</i>. <i>burgdorferi</i> antibody response. Applying multivariate and machine learning modeling methods, they found the profile of isotypes quantified performed particularly well at correctly classifying early acute sera samples. They also identified IgG4 as a potential biomarker unique to Lyme arthritis patients. Overall, the findings suggest that improvements in Lyme disease diagnostics may be attained by quantifying specific antibody isotypes against <i>B. burgdorferi</i> antigens.</p>","PeriodicalId":15511,"journal":{"name":"Journal of Clinical Microbiology","volume":" ","pages":"e0102025"},"PeriodicalIF":5.4000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The potential to improve Lyme disease diagnostics through quantification of immunoglobulin class switching patterns.\",\"authors\":\"Anna M Schotthoefer\",\"doi\":\"10.1128/jcm.01020-25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>N. Nair, A. Marques , E. J. Horn, G. Brown et al., J Clin Microbiol 63:e0034725, 2025, https://doi.org/10.1128/jcm.00347-25 present data to demonstrate that infection by <i>Borrelia burgdorferi</i>, the primary causative agent of Lyme disease in the USA, leads to immunoglobulin class switching in antibodies specifically against the immunodominant antigen, VlsE (variable major protein-like sequence, expressed), in a predictable pattern between the early acute (<1 month illness duration) to late-stage Lyme arthritis stages. Detection of anti-VlsE isotypes in sera was highly specific to Lyme disease patients, and the frequencies and abundances of IgM, IgG, and IgA isotypes progressed in a pattern consistent with the development of an anti-<i>B</i>. <i>burgdorferi</i> antibody response. Applying multivariate and machine learning modeling methods, they found the profile of isotypes quantified performed particularly well at correctly classifying early acute sera samples. They also identified IgG4 as a potential biomarker unique to Lyme arthritis patients. Overall, the findings suggest that improvements in Lyme disease diagnostics may be attained by quantifying specific antibody isotypes against <i>B. burgdorferi</i> antigens.</p>\",\"PeriodicalId\":15511,\"journal\":{\"name\":\"Journal of Clinical Microbiology\",\"volume\":\" \",\"pages\":\"e0102025\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Microbiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1128/jcm.01020-25\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Microbiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1128/jcm.01020-25","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
N. Nair, a . Marques, E. J. Horn, G. Brown等,J.临床微生物学杂志,63:e0034725,2025, https://doi.org/10.1128/jcm.00347-25目前的数据表明,感染伯氏疏螺旋体(美国莱姆病的主要病原体)导致抗体特异性地针对免疫优势抗原VlsE(可变主要蛋白样序列,表达)的免疫球蛋白类转换,在早期急性(伯氏疏螺旋体)抗体反应之间具有可预测的模式。应用多变量和机器学习建模方法,他们发现量化的同型谱在正确分类早期急性血清样本方面表现得特别好。他们还发现IgG4是莱姆病患者特有的潜在生物标志物。总的来说,研究结果表明,莱姆病的诊断可以通过量化针对伯氏疏螺旋体抗原的特异性抗体同型来实现。
The potential to improve Lyme disease diagnostics through quantification of immunoglobulin class switching patterns.
N. Nair, A. Marques , E. J. Horn, G. Brown et al., J Clin Microbiol 63:e0034725, 2025, https://doi.org/10.1128/jcm.00347-25 present data to demonstrate that infection by Borrelia burgdorferi, the primary causative agent of Lyme disease in the USA, leads to immunoglobulin class switching in antibodies specifically against the immunodominant antigen, VlsE (variable major protein-like sequence, expressed), in a predictable pattern between the early acute (<1 month illness duration) to late-stage Lyme arthritis stages. Detection of anti-VlsE isotypes in sera was highly specific to Lyme disease patients, and the frequencies and abundances of IgM, IgG, and IgA isotypes progressed in a pattern consistent with the development of an anti-B. burgdorferi antibody response. Applying multivariate and machine learning modeling methods, they found the profile of isotypes quantified performed particularly well at correctly classifying early acute sera samples. They also identified IgG4 as a potential biomarker unique to Lyme arthritis patients. Overall, the findings suggest that improvements in Lyme disease diagnostics may be attained by quantifying specific antibody isotypes against B. burgdorferi antigens.
期刊介绍:
The Journal of Clinical Microbiology® disseminates the latest research concerning the laboratory diagnosis of human and animal infections, along with the laboratory's role in epidemiology and the management of infectious diseases.