Wang Julia Y, Zhang Wei, Roehrl Michael W, Roehrl Victor B, Roehrl Michael H
Curandis, New York, USA.
Department of Gastroenterology, Affiliated Hospital of Guizhou Medical University, Guizhou, China.
bioRxiv. 2021 Jul 7:2021.07.05.451199. doi: 10.1101/2021.07.05.451199.
In order to understand autoimmune phenomena contributing to the pathophysiology of COVID-19 and post-COVID syndrome, we have been profiling autoantigens (autoAgs) from various cell types. Although cells share numerous autoAgs, each cell type gives rise to unique COVID-altered autoAg candidates, which may explain the wide range of symptoms experienced by patients with autoimmune sequelae of SARS-CoV-2 infection. Based on the unifying property of affinity between autoantigens (autoAgs) and the glycosaminoglycan dermatan sulfate (DS), this paper reports 140 candidate autoAgs identified from proteome extracts of human Jurkat T-cells, of which at least 105 (75%) are known targets of autoantibodies. Comparison with currently available multi-omic COVID-19 data shows that 125 (89%) of DS-affinity proteins are altered at protein and/or RNA levels in SARS-CoV-2-infected cells or patients, with at least 94 being known autoAgs in a wide spectrum of autoimmune diseases and cancer. Protein alterations by ubiquitination and phosphorylation in the viral infection are major contributors of autoAgs. The autoAg protein network is significantly associated with cellular response to stress, apoptosis, RNA metabolism, mRNA processing and translation, protein folding and processing, chromosome organization, cell cycle, and muscle contraction. The autoAgs include clusters of histones, CCT/TriC chaperonin, DNA replication licensing factors, proteasome and ribosome proteins, heat shock proteins, serine/arginine-rich splicing factors, 14-3-3 proteins, and cytoskeletal proteins. AutoAgs such as LCP1 and NACA that are altered in the T cells of COVID patients may provide insight into T-cell responses in the viral infection and merit further study. The autoantigen-ome from this study contributes to a comprehensive molecular map for investigating acute, subacute, and chronic autoimmune disorders caused by SARS-CoV-2.
为了了解导致新冠病毒病(COVID-19)和新冠后综合征病理生理学的自身免疫现象,我们一直在对来自各种细胞类型的自身抗原(autoAgs)进行分析。尽管细胞共享许多自身抗原,但每种细胞类型都会产生独特的新冠改变的自身抗原候选物,这可能解释了感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)后出现自身免疫后遗症的患者所经历的广泛症状。基于自身抗原(autoAgs)与糖胺聚糖硫酸皮肤素(DS)之间亲和力的统一特性,本文报告了从人Jurkat T细胞蛋白质组提取物中鉴定出的140种候选自身抗原,其中至少105种(75%)是自身抗体的已知靶点。与目前可用的多组学COVID-19数据比较表明,125种(89%)DS亲和力蛋白在SARS-CoV-2感染的细胞或患者中在蛋白质和/或RNA水平上发生了改变,其中至少94种是广泛的自身免疫性疾病和癌症中的已知自身抗原。病毒感染中通过泛素化和磷酸化引起的蛋白质改变是自身抗原的主要贡献因素。自身抗原蛋白网络与细胞对应激的反应、细胞凋亡、RNA代谢、mRNA加工和翻译、蛋白质折叠和加工、染色体组织、细胞周期以及肌肉收缩显著相关。自身抗原包括组蛋白簇、CCT/TriC伴侣蛋白、DNA复制许可因子、蛋白酶体和核糖体蛋白、热休克蛋白、富含丝氨酸/精氨酸的剪接因子、14-3-3蛋白以及细胞骨架蛋白。在新冠患者的T细胞中发生改变的自身抗原如LCP1和NACA,可能有助于深入了解病毒感染中的T细胞反应,值得进一步研究。本研究的自身抗原组有助于构建一个全面的分子图谱,用于研究由SARS-CoV-2引起的急性、亚急性和慢性自身免疫性疾病。