Sung Chia-Cheng, Luxton G W Gant, Hung Kuo-Sheng, Wu Yung-Fu, Wang Chih-Chien, Hsu Chih-Sin, Hu Chih-Fen
Department of Pediatrics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA, United States.
Front Microbiol. 2024 Aug 21;15:1452595. doi: 10.3389/fmicb.2024.1452595. eCollection 2024.
Following acute enterovirus (EV) infection, outcomes vary based on factors like the immune response, viral cell entry receptor expression levels, tissue tropism, and genetic factors of both the host and virus. While most individuals exhibit mild, self-limited symptoms, others may suffer severe complications or prolonged infections that can lead to autoimmune disorders.
To elucidate host responses to EV infection, we performed whole exome sequencing on blood samples from both infected and uninfected individuals. Our initial focus was on genes encoding EV entry receptors-PSGL-1, SCARB2, and ANAXA2 for EV-A71, and CD155 for poliovirus-and on host genes and , crucial for EV replication.
Although no specific genetic variants directly associated with EV infection were identified, we discovered 118 variants across 116 genes enriched in East Asian populations through multi-layered variant filtering. These variants were further analyzed for their potential impacts on organs, biological processes, and molecular pathways. Phenome-wide association studies were conducted to refine our understanding of their contributions to EV infection susceptibility.
Our findings aim to develop a predictive panel based on these 118 variants, which could help susceptible individuals during EV outbreaks, guiding targeted clinical interventions and preventative strategies.
急性肠道病毒(EV)感染后,其结果因免疫反应、病毒细胞进入受体表达水平、组织嗜性以及宿主和病毒的遗传因素等而有所不同。虽然大多数个体表现出轻微的自限性症状,但其他个体可能会出现严重并发症或长期感染,进而导致自身免疫性疾病。
为了阐明宿主对EV感染的反应,我们对感染和未感染个体的血液样本进行了全外显子组测序。我们最初关注的是编码EV进入受体的基因——EV - A71的PSGL - 1、SCARB2和ANXA2,脊髓灰质炎病毒的CD155,以及对EV复制至关重要的宿主基因和。
虽然未发现与EV感染直接相关的特定基因变异,但我们通过多层变异筛选在116个基因中发现了118个在东亚人群中富集的变异。进一步分析了这些变异对器官、生物过程和分子途径的潜在影响。进行了全表型关联研究,以加深我们对它们在EV感染易感性中作用的理解。
我们的研究结果旨在基于这118个变异开发一个预测面板,这可能有助于在EV爆发期间帮助易感个体,指导有针对性的临床干预和预防策略。