Üçüncü Basamak Üniversite Hastanesinde Takip Edilen Altı SARS-CoV-2 Pozitif Hastanın Tüm Genom Dizi Analizi

Esma KEPENEK KURT, Mehmet ÖZDEMİR, Fatma ESENKAYA TAŞBENT, İbrahim ERAYMAN
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 Methods: The study included six adult patient samples with different clinical manifestations with positive PCR tests for SARS-CoV-2, between June 01, 2020, and March 12, 2021. Sequence knowledge of all samples/testers has been loaded into the GISEAD (Global Initiative on Sharing All Influenza Data) data system. Clade Analysis, Genome Analysis, Variant Analysis, and Phylogenetic Tree Analysis were conducted.
 Results: 3 of the patients were women (female), and three were men(male), with the mean age of 42.5 years old (between 20 - 61). Totally 71 mutations were specified in 6 adult patients. By the Pangolin lineage, three of the patients were B.1.177, two were B.1, one was of B1.36 lineage. By the Pango lineage, two of the patients were B.1.609, one was B.177, one was B.1.36. By the Nexstrain Clade, four of the patients were 20A and two were of 19A lineage. No D614G mutation was detected in any of the patients. While five patients recovered, one patient with metastatic lung adenocarcinoma died.
 Conclusion; The patients were detected in the commonly found 'Non-VOC' group. Therefore, variants could not be associated with the clinical status and prognosis of the patients. However, it is thought that the data obtained contribute to both global and national SARS-CoV-2 data.","PeriodicalId":15449,"journal":{"name":"Journal of contemporary medicine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of contemporary medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.16899/jcm.1312540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Aims: In this study, we aimed to determine mutations in the gene sequence of this virus, by performing whole genome sequence analysis from patient samples found positive by actual RT-PCR (PCR) for SARS-CoV-2. Methods: The study included six adult patient samples with different clinical manifestations with positive PCR tests for SARS-CoV-2, between June 01, 2020, and March 12, 2021. Sequence knowledge of all samples/testers has been loaded into the GISEAD (Global Initiative on Sharing All Influenza Data) data system. Clade Analysis, Genome Analysis, Variant Analysis, and Phylogenetic Tree Analysis were conducted. Results: 3 of the patients were women (female), and three were men(male), with the mean age of 42.5 years old (between 20 - 61). Totally 71 mutations were specified in 6 adult patients. By the Pangolin lineage, three of the patients were B.1.177, two were B.1, one was of B1.36 lineage. By the Pango lineage, two of the patients were B.1.609, one was B.177, one was B.1.36. By the Nexstrain Clade, four of the patients were 20A and two were of 19A lineage. No D614G mutation was detected in any of the patients. While five patients recovered, one patient with metastatic lung adenocarcinoma died. Conclusion; The patients were detected in the commonly found 'Non-VOC' group. Therefore, variants could not be associated with the clinical status and prognosis of the patients. However, it is thought that the data obtained contribute to both global and national SARS-CoV-2 data.
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一家三级大学医院随访的六名 SARS-CoV-2 阳性患者的全基因组序列分析
目的:在本研究中,我们旨在通过对经实际RT-PCR (PCR)检测为SARS-CoV-2阳性的患者样本进行全基因组序列分析,确定该病毒基因序列的突变。方法:选取2020年6月1日至2021年3月12日期间6例不同临床表现的成人SARS-CoV-2 PCR检测阳性患者。所有样本/测试者的序列知识已载入GISEAD(共享所有流感数据全球倡议)数据系统。进行了进化分析、基因组分析、变异分析和系统发育树分析。 结果:女性3例(女),男性3例(男),平均年龄42.5岁(20 ~ 61岁)。6例成人患者共发现71个突变。穿山甲b1.177家系3例,b1.1家系2例,B1.36家系1例。Pango家系B.1.609 2例,B.177 1例,B.1.36 1例。通过近亲进化,4例患者为20A, 2例为19A。所有患者均未检测到D614G突变。5例患者康复,1例转移性肺腺癌患者死亡。结论;患者被检测为常见的“无挥发性有机化合物”组。因此,变异不能与患者的临床状况和预后相关。然而,据认为,获得的数据有助于全球和国家SARS-CoV-2数据。
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