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严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变体的出现是由登革热合并感染引起的。

Emergence of SARS-CoV-2 Variants Are Induced by Coinfections With Dengue.

作者信息

Al-Emran Hassan M, Rahman Fazlur, Sarkar Laxmi, Das Prosanto Kumar, Mondol Provakar, Yesmin Suriya, Sultana Pipasha, Ahammed Toukir, Parvez Rasel, Hasan Md Shazid, Sarkar Shovon Lal, Rahman M Shaminur, Hossain Anamica, Rahman Mahmudur, Islam Ovinu Kibria, Islam Md Tanvir, Nigar Shireen, Akter Selina, Rubayet Ul Alam A S M, Rahman Mohammad Mahfuzur, Jahid Iqbal Kabir, Hossain M Anwar

机构信息

Department of Biomedical Engineering, Jashore University of Science and Technology, Jashore, Bangladesh.

Department of Accounting and Information Systems, Jashore University of Science and Technology, Jashore, Bangladesh.

出版信息

Bioinform Biol Insights. 2024 Sep 11;18:11779322241272399. doi: 10.1177/11779322241272399. eCollection 2024.

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that emerged in late 2019 has accumulated a series of point mutations and evolved into several variants of concern (VOCs), some of which are more transmissible and potentially more severe than the original strain. The most notable VOCs are Alpha, Beta, Gamma, Delta, and Omicron, which have spread to various parts of the world. This study conducted surveillance in Jashore, Bangladesh to identify the prevalence of SARS-CoV-2 coinfected with dengue virus and their genomic effect on the emergence of VOCs. A hospital-based COVID-19 surveillance from June to August, 2021 identified 9 453 positive patients in the surveillance area. The study enrolled 572 randomly selected COVID-19-positive patients, of which 11 (2%) had dengue viral coinfection. Whole genome sequences of SARS-CoV-2 were analyzed and compared between coinfection positive and negative group. In addition, we extracted 185 genome sequences from GISAID to investigate the cross-correlation function between SARS-CoV-2 mutations and VOC; multiple ARIMAX(p,d,q) models were developed to estimate the average number of amino acid (aa) substitution among different SARS-CoV-2 VOCs. The results of the study showed that the coinfection group had an average of 30.6 (±1.7) aa substitutions in SARS-CoV-2, whereas the dengue-negative COVID-19 group had that average of 25.6 (±1.8;  < .01). The coinfection group showed a significant difference of aa substitutions in open reading frame (ORF) and N-protein when compared to dengue-negative group ( = .03). Our ARIMAX models estimated that the emergence of SARS-CoV-2 variants Delta required additional 9 to 12 aa substitutions than Alpha, Beta, or Gamma variant. The emergence of Omicron accumulated additional 19 (95% confidence interval [CI]: 15.74, 21.95) aa substitution than Delta. Increased number of point mutations in SARS-CoV-2 genome identified from coinfected cases could be due to the compromised immune function of host and induced adaptability of pathogens during coinfections. As a result, new variants might be emerged when series of coinfection events occur during concurrent two epidemics.

摘要

2019年末出现的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)积累了一系列点突变,并进化出几种值得关注的变异株(VOCs),其中一些变异株比原始毒株更具传播性,潜在危害也更大。最值得注意的VOCs是阿尔法、贝塔、伽马、德尔塔和奥密克戎,它们已传播到世界各地。本研究在孟加拉国杰索尔进行监测,以确定感染登革热病毒的SARS-CoV-2的流行情况及其对VOCs出现的基因组影响。2021年6月至8月在一家医院开展的新冠肺炎监测在监测区域内确定了9453名阳性患者。该研究招募了572名随机选择的新冠肺炎阳性患者,其中11名(2%)同时感染了登革热病毒。对SARS-CoV-2的全基因组序列进行了分析,并在合并感染阳性组和阴性组之间进行了比较。此外,我们从全球共享流感数据倡议组织(GISAID)提取了185个基因组序列,以研究SARS-CoV-2突变与VOC之间的互相关函数;开发了多个自回归整合移动平均模型(ARIMAX(p,d,q))来估计不同SARS-CoV-2 VOCs之间氨基酸(aa)替换的平均数。研究结果表明,合并感染组的SARS-CoV-2平均有30.6(±1.7)个氨基酸替换,而登革热阴性的新冠肺炎组平均有25.6(±1.8;<0.01)个氨基酸替换。与登革热阴性组相比,合并感染组在开放阅读框(ORF)和N蛋白中的氨基酸替换存在显著差异(P = 0.03)。我们的ARIMAX模型估计,SARS-CoV-2变异株德尔塔的出现比阿尔法、贝塔或伽马变异株需要额外9至12个氨基酸替换。奥密克戎的出现比德尔塔积累了额外19个(95%置信区间[CI]:15.74,21.95)氨基酸替换。从合并感染病例中鉴定出的SARS-CoV-2基因组中增加的点突变数量可能是由于宿主免疫功能受损以及合并感染期间病原体适应性增强所致。因此,如果在两种流行病同时流行期间发生一系列合并感染事件,可能会出现新的变异株。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0bc/11406487/740695c74062/10.1177_11779322241272399-fig1.jpg

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