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追踪印度的新冠病毒XBB.1.16重组谱系以及印度马哈拉施特拉邦XBB.1.16病例的临床概况

Chasing SARS-CoV-2 XBB.1.16 Recombinant Lineage in India and the Clinical Profile of XBB.1.16 Cases in Maharashtra, India.

作者信息

Karyakarte Rajesh P, Das Rashmita, Rajmane Mansi V, Dudhate Sonali, Agarasen Jeanne, Pillai Praveena, Chandankhede Priyanka M, Labhshetwar Rutika S, Gadiyal Yogita, Kulkarni Preeti P, Nizarudeen Safanah, Joshi Suvarna, Karmodiya Krishanpal, Potdar Varsha

机构信息

Microbiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.

Biology, Indian Institute of Science Education and Research, Pune, IND.

出版信息

Cureus. 2023 Jun 1;15(6):e39816. doi: 10.7759/cureus.39816. eCollection 2023 Jun.

Abstract

Background SARS-CoV-2 has evolved rapidly, resulting in the emergence of lineages with a competitive advantage over one another. Co-infections with different SARS-CoV-2 lineages can give rise to recombinant lineages. To date, the XBB lineage is the most widespread recombinant lineage worldwide, with the recently named XBB.1.16 lineage causing a surge in the number of COVID-19 cases in India. Methodology The present study involved retrieval of SARS-CoV-2 genome sequences from India (between December 1, 2022 and April 8, 2023) through GISAID; sequences were curated, followed by lineage and phylogenetic analysis. Demographic and clinical data from Maharashtra, India were collected telephonically, recorded in Microsoft® Excel, and analyzed using IBM® SPSS statistics, version 29.0.0.0 (241). Results A total of 2,944 sequences were downloaded from the GISAID database, of which 2,856 were included in the study following data curation. The sequences from India were dominated by the XBB.1.16* lineage (36.17%) followed by XBB.2.3* (12.11%) and XBB.1.5* (10.36%). Of the 2,856 cases, 693 were from Maharashtra; 386 of these were included in the clinical study. The clinical features of COVID-19 cases with XBB.1.16* infection (XBB.1.16* cases, 276 in number) showed that 92% of those had a symptomatic disease, with fever (67%), cough (42%), rhinorrhea (33.7%), body ache (14.5%) and fatigue (14.1%) being the most common symptoms. The presence of comorbidity was found in 17.7% of the XBB.1.16* cases. Among the XBB.1.16* cases, 91.7% were vaccinated with at least one dose of vaccine against COVID-19. While 74.3% of XBB.1.16* cases were home-isolated; 25.7% needed hospitalization/institutional quarantine, of these, 33.8% needed oxygen therapy. Out of 276 XBB.1.16* cases, seven (2.5%) cases succumbed to the disease. The majority of XBB.1.16* cases who died belonged to an elderly age group (60 years and above), had underlying comorbid condition/s, and needed supplemental oxygen therapy. The clinical features of COVID-19 cases infected with other co-circulating Omicron variants were similar to XBB.1.16* cases. Conclusion The study reveals that XBB.1.16* lineage has become the most predominant SARS-CoV-2 lineage in India. The study also shows that the clinical features and outcome of XBB.1.16* cases were similar to those of other co-circulating Omicron lineage infected cases in Maharashtra, India.

摘要

背景

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)迅速进化,导致出现了相互具有竞争优势的谱系。不同SARS-CoV-2谱系的共同感染可产生重组谱系。迄今为止,XBB谱系是全球最广泛传播的重组谱系,最近命名的XBB.1.16谱系导致印度新冠肺炎病例数激增。

方法

本研究通过全球共享流感数据倡议组织(GISAID)检索印度(2022年12月1日至2023年4月8日)的SARS-CoV-2基因组序列;对序列进行整理,随后进行谱系和系统发育分析。通过电话收集印度马哈拉施特拉邦的人口统计学和临床数据,记录在微软®Excel中,并使用IBM®SPSS统计学软件29.0.0.0(241版)进行分析。

结果

从GISAID数据库下载了共2944个序列,经过数据整理后,其中2856个被纳入研究。印度的序列以XBB.1.16谱系为主(36.17%),其次是XBB.2.3(12.11%)和XBB.1.5*(10.36%)。在2856例病例中,693例来自马哈拉施特拉邦;其中38

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2480/10314318/9a5207f8efb7/cureus-0015-00000039816-i01.jpg

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