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严重急性呼吸综合征冠状病毒2(SARS-CoV-2)基因组中特定变异的有害突变揭示了免疫反应及预防性疫苗开发的潜力。

Variant-specific deleterious mutations in the SARS-CoV-2 genome reveal immune responses and potentials for prophylactic vaccine development.

作者信息

Islam Md Aminul, Shahi Shatila, Marzan Abdullah Al, Amin Mohammad Ruhul, Hasan Mohammad Nayeem, Hoque M Nazmul, Ghosh Ajit, Barua Abanti, Khan Abbas, Dhama Kuldeep, Chakraborty Chiranjib, Bhattacharya Prosun, Wei Dong-Qing

机构信息

Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Bangladesh.

COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, Bangladesh.

出版信息

Front Pharmacol. 2023 Feb 7;14:1090717. doi: 10.3389/fphar.2023.1090717. eCollection 2023.

Abstract

Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has had a disastrous effect worldwide during the previous three years due to widespread infections with SARS-CoV-2 and its emerging variations. More than 674 million confirmed cases and over 6.7 million deaths have been attributed to successive waves of SARS-CoV-2 infections as of 29th January 2023. Similar to other RNA viruses, SARS-CoV-2 is more susceptible to genetic evolution and spontaneous mutations over time, resulting in the continual emergence of variants with distinct characteristics. Spontaneous mutations of SARS-CoV-2 variants increase its transmissibility, virulence, and disease severity and diminish the efficacy of therapeutics and vaccines, resulting in vaccine-breakthrough infections and re-infection, leading to high mortality and morbidity rates. In this study, we evaluated 10,531 whole genome sequences of all reported variants globally through a computational approach to assess the spread and emergence of the mutations in the SARS-CoV-2 genome. The available data sources of NextCladeCLI 2.3.0 (https://clades.nextstrain.org/) and NextStrain (https://nextstrain.org/) were searched for tracking SARS-CoV-2 mutations, analysed using the PROVEAN, Polyphen-2, and Predict SNP mutational analysis tools and validated by Machine Learning models. Compared to the Wuhan-Hu-1 reference strain NC 045512.2, genome-wide annotations showed 16,954 mutations in the SARS-CoV-2 genome. We determined that the Omicron variant had 6,307 mutations (retrieved sequence:1947), including 67.8% unique mutations, more than any other variant evaluated in this study. The spike protein of the Omicron variant harboured 876 mutations, including 443 deleterious mutations. Among these deleterious mutations, 187 were common and 256 were unique non-synonymous mutations. In contrast, after analysing 1,884 sequences of the Delta variant, we discovered 4,468 mutations, of which 66% were unique, and not previously reported in other variants. Mutations affecting spike proteins are mostly found in RBD regions for Omicron, whereas most of the Delta variant mutations drawn to focus on amino acid regions ranging from 911 to 924 in the context of epitope prediction (B cell & T cell) and mutational stability impact analysis protruding that Omicron is more transmissible. The pathogenesis of the Omicron variant could be prevented if the deleterious and persistent unique immunosuppressive mutations can be targeted for vaccination or small-molecule inhibitor designing. Thus, our findings will help researchers monitor and track the continuously evolving nature of SARS-CoV-2 strains, the associated genetic variants, and their implications for developing effective control and prophylaxis strategies.

摘要

2019年冠状病毒病(COVID-19)由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起,在过去三年里,由于SARS-CoV-2的广泛感染及其新出现的变异毒株,在全球范围内造成了灾难性影响。截至2023年1月29日,连续几波SARS-CoV-2感染已导致超过6.74亿确诊病例和超过670万例死亡。与其他RNA病毒类似,随着时间的推移,SARS-CoV-2更容易发生基因进化和自发突变,导致具有不同特征的变异毒株不断出现。SARS-CoV-2变异毒株的自发突变增加了其传播性、毒力和疾病严重程度,并降低了治疗方法和疫苗的效力,导致疫苗突破性感染和再次感染,从而导致高死亡率和发病率。在本研究中,我们通过一种计算方法评估了全球所有报告变异毒株的10531个全基因组序列,以评估SARS-CoV-2基因组中突变的传播和出现情况。利用NextCladeCLI 2.3.0(https://clades.nextstrain.org/)和NextStrain(https://nextstrain.org/)的可用数据源来追踪SARS-CoV-2突变,使用PROVEAN、Polyphen-2和Predict SNP突变分析工具进行分析,并通过机器学习模型进行验证。与武汉-胡-1参考毒株NC 045512.2相比,全基因组注释显示SARS-CoV-2基因组中有16954个突变。我们确定,奥密克戎变异毒株有6307个突变(检索序列:1947),其中包括67.8%的独特突变,比本研究中评估的任何其他变异毒株都多。奥密克戎变异毒株的刺突蛋白有876个突变,其中包括443个有害突变。在这些有害突变中,187个是常见的,256个是独特的非同义突变。相比之下,在分析了1884个德尔塔变异毒株的序列后,我们发现了4468个突变,其中66%是独特的,此前未在其他变异毒株中报道过。影响刺突蛋白的突变在奥密克戎变异毒株中大多位于受体结合域(RBD)区域,而在表位预测(B细胞和T细胞)及突变稳定性影响分析的背景下,德尔塔变异毒株的大多数突变集中在911至924的氨基酸区域,这突出表明奥密克戎变异毒株的传播性更强。如果能够针对有害且持续存在的独特免疫抑制突变进行疫苗接种或小分子抑制剂设计,奥密克戎变异毒株的发病机制可能会得到预防。因此,我们的研究结果将有助于研究人员监测和追踪SARS-CoV-2毒株不断演变的特性、相关的基因变异及其对制定有效控制和预防策略的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35a0/9941545/5028df72f9dc/fphar-14-1090717-g001.jpg

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