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大流行的蓝图:来自印度梅加拉亚邦新冠病毒基因组监测的见解

Blueprint of a pandemic: Insights from SARS-CoV-2 genomics surveillance in Meghalaya, India.

作者信息

Warjri Phibangipan, Sumer Olisha, Langbang Leader, Kynta Aesukwanmi, Pyngrope Daminot

机构信息

Pasteur Institute, Directorate of Health Services (Research etc.), Lawmali, Shillong 793001, Meghalaya, India.

Pasteur Institute, Directorate of Health Services (Research etc.), Lawmali, Shillong 793001, Meghalaya, India.

出版信息

Diagn Microbiol Infect Dis. 2025 Mar;111(3):116670. doi: 10.1016/j.diagmicrobio.2024.116670. Epub 2024 Dec 26.

Abstract

The Covid-19 pandemic uncovered several lacunae in healthcare systems exposing global unpreparedness and triggering unprecedented challenges worldwide- necessitating a shift towards mitigation and robust surveillance strategies. Here, we report the use of Whole Genome Sequencing (WGS) to detect SARS-CoV-2 variants in clinical samples of Meghalaya, India, using Oxford Nanopore Technology. SARS-CoV-2 positive samples collected from various districts of Meghalaya from August 2021 to May 2023 were subjected to WGS. Out of a total of 965 samples, Alpha (0.1 %), Delta (47.2 %) and Omicron (52.7 %) variants were detected. The Delta variant affected 53 % of individuals under the age of 18 years, while the Omicron sub variant BA.2 affected all age groups in a similar manner. The study underscores the efficacy of using a user-friendly sequencing device coupled with simplified bioinformatics, enabling remote regions to effectively combat Covid-19. This approach, characterized by rapidity, simplicity and accuracy, holds promise in confronting future health crises.

摘要

新冠疫情暴露出医疗系统中的若干漏洞,揭示了全球的准备不足,并在全球引发了前所未有的挑战,这使得有必要转向缓解措施和强有力的监测策略。在此,我们报告了利用牛津纳米孔技术,通过全基因组测序(WGS)在印度梅加拉亚邦的临床样本中检测新冠病毒变异株的情况。对2021年8月至2023年5月从梅加拉亚邦各地区收集的新冠病毒阳性样本进行了全基因组测序。在总共965个样本中,检测到了阿尔法(0.1%)、德尔塔(47.2%)和奥密克戎(52.7%)变异株。德尔塔变异株感染了53%的18岁以下个体,而奥密克戎亚型BA.2以类似方式感染了所有年龄组。该研究强调了使用用户友好型测序设备并结合简化生物信息学的有效性,使偏远地区能够有效抗击新冠疫情。这种方法具有快速、简单和准确的特点,有望应对未来的健康危机。

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