Mehta Priyanka, Alle Shanmukh, Chaturvedi Anusha, Swaminathan Aparna, Saifi Sheeba, Maurya Ranjeet, Chattopadhyay Partha, Devi Priti, Chauhan Ruchi, Kanakan Akshay, Vasudevan Janani Srinivasa, Sethuraman Ramanathan, Chidambaram Subramanian, Srivastava Mashrin, Chakravarthi Avinash, Jacob Johnny, Namagiri Madhuri, Konala Varma, Jha Sujeet, Priyakumar U Deva, Vinod P K, Pandey Rajesh
INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.
Pathogens. 2021 Aug 31;10(9):1109. doi: 10.3390/pathogens10091109.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) manifests a broad spectrum of clinical presentations, varying in severity from asymptomatic to mortality. As the viral infection spread, it evolved and developed into many variants of concern. Understanding the impact of mutations in the SARS-CoV-2 genome on the clinical phenotype and associated co-morbidities is important for treatment and preventionas the pandemic progresses. Based on the mild, moderate, and severe clinical phenotypes, we analyzed the possible association between both, the clinical sub-phenotypes and genomic mutations with respect to the severity and outcome of the patients. We found a significant association between the requirement of respiratory support and co-morbidities. We also identified six SARS-CoV-2 genome mutations that were significantly correlated with severity and mortality in our cohort. We examined structural alterations at the RNA and protein levels as a result of three of these mutations: A26194T, T28854T, and C25611A, present in the Orf3a and N protein. The RNA secondary structure change due to the above mutations can be one of the modulators of the disease outcome. Our findings highlight the importance of integrative analysis in which clinical and genetic components of the disease are co-analyzed. In combination with genomic surveillance, the clinical outcome-associated mutations could help identify individuals for priority medical support.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)表现出广泛的临床表现,严重程度从无症状到死亡不等。随着病毒感染的传播,它进化并发展出许多值得关注的变体。随着疫情的发展,了解SARS-CoV-2基因组突变对临床表型和相关合并症的影响对于治疗和预防至关重要。基于轻度、中度和重度临床表型,我们分析了临床亚表型与基因组突变之间关于患者严重程度和预后的可能关联。我们发现呼吸支持需求与合并症之间存在显著关联。我们还在我们的队列中确定了六个与严重程度和死亡率显著相关的SARS-CoV-2基因组突变。我们研究了这些突变中的三个:存在于Orf3a和N蛋白中的A26194T、T28854T和C25611A,在RNA和蛋白质水平上引起的结构改变。上述突变导致的RNA二级结构变化可能是疾病预后的调节因素之一。我们的研究结果强调了综合分析的重要性,即对疾病的临床和遗传成分进行共同分析。结合基因组监测,与临床结局相关的突变有助于识别需要优先医疗支持的个体。