Ravi Varsha, Khare Kriti, Mohite Ramakant, Mishra Pallavi, Halder Sayanti, Shukla Richa, Liu Chinky Shiu Chen, Yadav Aanchal, Soni Jyoti, Chaudhary Komal, Tarai Bansidhar, Budhiraja Sandeep, Khosla Pooja, Sethi Tavpritesh, Imran Md, Pandey Rajesh
Division of Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi, India.
Indraprastha Institute of Information Technology, Delhi, India.
PLoS Negl Trop Dis. 2025 Apr 29;19(4):e0013034. doi: 10.1371/journal.pntd.0013034. eCollection 2025 Apr.
Dengue virus (DENV) infection manifests a wide spectrum of clinical outcomes, ranging from mild fever to severe and potentially fatal disease, yet the factors driving this variability remain poorly understood. This study aims to unravel the relationship between clinical manifestations of dengue and the genetic diversity of the virus, providing insights into the genomic variability driving disease severity. To achieve this, serum samples were collected during a dengue outbreak in National Capital Region-Delhi, India, from June to November 2023. Serotyping of RNA isolated from 4,045 clinical serum samples revealed DENV-2 as the predominant serotype in circulation (n = 3702). Whole-genome sequencing for 3702 clinical samples was performed using Oxford Nanopore Technology (ONT) further yielding 3254 DENV-2 genomes with >50% coverage. However, all of them identified the cosmopolitan genotype of DENV-2, forming a distinct monophyletic cluster in the global phylogenetic tree. Comprehensive variant analysis uncovered 1,618,158 single nucleotide variations (SNVs) across the sequenced DENV-2 population. The clinico-genomic approach carried out in 1294 samples, mild (n = 473), moderate (n = 405) and clinically severe (n = 416), reveals a significant burden of SNVs in various genomic regions linked to differential disease outcomes. Statistical analyses, including Fisher's exact test and phi-correlation, identified hotspot regions in the Envelope (E), NS4B, and NS5 genes, where SNVs were strongly associated with mild and clinically severe phenotypes, providing insights into the genomic determinants of disease severity. Interestingly, the clustering of severity-associated SNVs in these genomic hotspot regions highlights their potential as therapeutic targets within the DENV genome. These findings offer a promising direction for developing early mitigation strategies and targeted interventions to manage the progression of severe DENV infections.
登革病毒(DENV)感染表现出广泛的临床结果,从轻度发热到严重且可能致命的疾病不等,但导致这种变异性的因素仍知之甚少。本研究旨在揭示登革热临床表现与病毒遗传多样性之间的关系,为驱动疾病严重程度的基因组变异性提供见解。为实现这一目标,于2023年6月至11月在印度新德里国家首都辖区的一次登革热疫情期间收集了血清样本。对从4045份临床血清样本中分离的RNA进行血清分型,结果显示DENV-2是流行中的主要血清型(n = 3702)。使用牛津纳米孔技术(ONT)对3702份临床样本进行了全基因组测序,进一步获得了3254个覆盖率>50%的DENV-2基因组。然而,所有这些基因组都鉴定出了DENV-2的世界基因型,在全球系统发育树中形成了一个独特的单系簇。全面的变异分析在测序的DENV-2群体中发现了1618158个单核苷酸变异(SNV)。在1294份样本(轻度,n = 473;中度,n = 405;临床严重,n = 416)中进行的临床基因组学方法揭示,与不同疾病结果相关的各个基因组区域中存在大量SNV。包括Fisher精确检验和phi相关性在内的统计分析确定了包膜(E)、NS4B和NS5基因中的热点区域,其中SNV与轻度和临床严重表型密切相关,为疾病严重程度的基因组决定因素提供了见解。有趣的是,这些基因组热点区域中与严重程度相关的SNV的聚集突出了它们作为DENV基因组内治疗靶点的潜力。这些发现为制定早期缓解策略和针对性干预措施以控制严重DENV感染的进展提供了一个有前景的方向。