Geluk Annemieke, Ottenhoff Tom H M
Department of Immunohematology and Blood Transfusion, Leiden University Medical Center.
Hum Immunol. 2006 Jun;67(6):439-45. doi: 10.1016/j.humimm.2006.03.009. Epub 2006 Apr 3.
Leprosy has intrigued immunologists for many decades. Despite minimal genetic variation between Mycobacterium leprae isolates worldwide, two completely different forms of the disease can develop in the susceptible human host: localized, tuberculoid, or paucibacillary leprosy, which can heal spontaneously, and disseminating, lepromatous, or multibacillary leprosy, which is progressive if untreated. The questions which host factors regulate these very different outcomes of infection, by what mechanisms, and whether these can be used to combat disease remain unanswered. Leprosy has been one of the very first human diseases in which human leukocyte antigen (HLA) genes were demonstrated to codetermine disease outcome. Jon van Rood was among the earliest researchers to recognize the potential of this ancient disease as a human model to dissect the role of HLA in disease. Decades later, it is now clear that HLA molecules display highly allele-specific peptide binding capacity. This restricts antigen presentation to M. leprae-reactive T cells and controls the magnitude of the ensuing immune response. Furthermore, specific peptide/HLA class II complexes can also determine the quality of the immune response by selectively activating regulatory (suppressor) T cells. All these factors are believed to contribute to leprosy disease susceptibility. Despite the global reduction in leprosy disease prevalence, new case detection rates remain invariably high, demonstrating that treatment alone does not block transmission of leprosy. Better tools for early detection of preclinical M. leprae infection, likely the major source of unidentified transmission, therefore is a priority. Newly developed HLA-based bioinformatic tools now provide novel opportunities to help combat this disease. Here, we describe recent work using HLA-DR peptide binding algorithms in combination with recently elucidated genome sequences of several different mycobacteria. Using this postgenomic HLA-based approach, we were able to identify 12 candidate genes that were unique to M. leprae and were predicted to contain T cell epitopes restricted via several major HLA-DR alleles. Five of these antigens (ML0576, ML1989, ML1990, ML2283, ML2567) were indeed able to induce significant T cell responses in paucibacillary leprosy patients and M. leprae-exposed healthy controls but not in most multibacillary leprosy patients, tuberculosis patients, or endemic controls. 71% of M. leprae-exposed healthy controls that did not have antibodies to the M. leprae-specific phenolic glycolipid-I responded to one or more M. leprae antigen(s), highlighting the potential added value of these unique M. leprae proteins in diagnosing early infection. Thus current state-of-the-art HLA immunogenetics can provide new tools for specific diagnosis of M. leprae infection, which can impact our understanding of leprosy transmission and can lead to improved intervention.
几十年来,麻风病一直吸引着免疫学家。尽管全球范围内麻风分枝杆菌分离株之间的基因变异极小,但在易感人类宿主中却会出现两种完全不同形式的疾病:局限性结核样或少菌型麻风病,可自发愈合;播散性瘤型或多菌型麻风病,若不治疗则会进展。宿主因素通过何种机制调节这些截然不同的感染结果,以及这些因素能否用于抗击疾病,这些问题仍未得到解答。麻风病是最早被证明人类白细胞抗原(HLA)基因共同决定疾病结果的人类疾病之一。乔恩·范·罗德是最早认识到这种古老疾病作为剖析HLA在疾病中作用的人类模型潜力的研究人员之一。几十年后,现在已经清楚HLA分子具有高度等位基因特异性的肽结合能力。这限制了向麻风分枝杆菌反应性T细胞的抗原呈递,并控制了随后免疫反应的强度。此外,特定的肽/HLA II类复合物还可以通过选择性激活调节性(抑制性)T细胞来决定免疫反应的质量。所有这些因素都被认为与麻风病易感性有关。尽管全球麻风病患病率有所下降,但新病例发现率仍然居高不下,这表明仅靠治疗并不能阻断麻风病的传播。因此,更好的工具用于早期检测临床前麻风分枝杆菌感染(可能是未识别传播的主要来源)是当务之急。新开发的基于HLA的生物信息学工具现在提供了抗击这种疾病的新机会。在这里,我们描述了最近使用HLA-DR肽结合算法结合几种不同分枝杆菌最近阐明的基因组序列所做的工作。使用这种基于后基因组HLA的方法,我们能够鉴定出12个麻风分枝杆菌特有的候选基因,这些基因预计包含通过几种主要HLA-DR等位基因受限的T细胞表位。其中五种抗原(ML0576、ML1989、ML1990、ML2283、ML2567)确实能够在少菌型麻风病患者和接触过麻风分枝杆菌的健康对照中诱导显著的T细胞反应,但在大多数多菌型麻风病患者、结核病患者或地方性对照中则不能。71%未对麻风分枝杆菌特异性酚糖脂-I产生抗体的接触过麻风分枝杆菌的健康对照对一种或多种麻风分枝杆菌抗原产生反应,突出了这些独特的麻风分枝杆菌蛋白在诊断早期感染中的潜在附加值。因此,当前最先进的HLA免疫遗传学可为麻风分枝杆菌感染的特异性诊断提供新工具,这可能影响我们对麻风病传播的理解,并有助于改进干预措施。