Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Wayne State University School of Medicine and Detroit Medical Center, Detroit, Michigan.
Department of Mathematics, Wayne State University, Detroit, Michigan.
Am J Respir Crit Care Med. 2024 Oct 1;210(7):908-918. doi: 10.1164/rccm.202306-1054OC.
Sarcoidosis is a systemic granulomatous disorder associated with hypergammaglobulinemia and the presence of autoantibodies. The specific antigens initiating granulomatous inflammation in sarcoidosis are unknown, and there is no specific test available to diagnose sarcoidosis. To discover novel sarcoidosis antigens, we developed a high-throughput T7 phage display library derived from the sarcoidosis cDNA and identified numerous clones differentiating sarcoidosis from other respiratory diseases. After clone sequencing and a homology search, we identified two epitopes (cofilin μ and chain A) that specifically bind to serum IgGs of patients with sarcoidosis. To develop and validate an epitope-specific IgG-based immunoassay specific for sarcoidosis. We chemically synthesized both immunoepitopes (cofilin μ and chain A) and generated rabbit polyclonal antibodies against both neoantigens. After extensive standardization, we developed a direct peptide ELISA and measured epitope-specific IgG in the sera of 386 subjects, including healthy control subjects ( = 100), three sarcoidosis cohorts ( = 186), pulmonary tuberculosis ( = 70), and lung cancer ( = 30). To develop a model to classify sarcoidosis distinctly from other groups, data were analyzed using fivefold cross-validation when adjusting for confounders. The cofilin μ IgG model yielded a mean sensitivity, specificity, and positive and negative predictive value of 0.97, 0.9, 0.9, and 0.96, respectively. Those same measures for chain A IgG antibody were 0.9, 0.83, 0.84, and 0.9, respectively. Combining both biomarkers improved the area under the curve, sensitivity, specificity, and positive and negative predictive value. These results provide a novel immunoassay for sarcoidosis. The discovery of two neoantigens facilitates the development of biospecific drug discovery and the sarcoidosis-specific model.
结节病是一种系统性肉芽肿性疾病,与高丙种球蛋白血症和自身抗体的存在有关。引起结节病肉芽肿性炎症的特定抗原尚不清楚,也没有可用于诊断结节病的特定检测方法。为了发现新的结节病抗原,我们开发了一种来自结节病 cDNA 的高通量 T7 噬菌体展示文库,并鉴定了许多可区分结节病与其他呼吸道疾病的克隆。经过克隆测序和同源性搜索,我们鉴定了两个表位(原肌球蛋白μ和链 A),它们特异性结合结节病患者的血清 IgG。为了开发和验证针对结节病的基于表位特异性 IgG 的免疫测定法。我们化学合成了这两个免疫表位(原肌球蛋白μ和链 A),并针对这两个新抗原产生了兔多克隆抗体。经过广泛的标准化,我们开发了直接肽 ELISA,并测量了 386 名受试者(包括健康对照组(n=100)、三个结节病队列(n=186)、肺结核(n=70)和肺癌(n=30))血清中的表位特异性 IgG。为了开发一种模型,将结节病与其他组明显区分开来,在调整混杂因素后,使用五重交叉验证对数据进行分析。原肌球蛋白μ IgG 模型的平均敏感性、特异性、阳性和阴性预测值分别为 0.97、0.9、0.9 和 0.96。链 A IgG 抗体的相同指标分别为 0.9、0.83、0.84 和 0.9。结合这两个生物标志物可提高曲线下面积、敏感性、特异性和阳性及阴性预测值。这些结果为结节病提供了一种新的免疫测定法。两个新抗原的发现促进了生物特异性药物发现和结节病特异性模型的发展。