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污水监测在两个印度特大城市的明渠中严重急性呼吸综合征冠状病毒 2 捕捉进化谱系转变:分区方法。

Wastewater surveillance of severe acute respiratory syndrome coronavirus-2 in open drains of two Indian megacities captures evolutionary lineage transitions: a zonation approach.

机构信息

Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Lavale, Maharashtra, India.

National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India.

出版信息

Environ Sci Pollut Res Int. 2024 Aug;31(37):49670-49681. doi: 10.1007/s11356-024-34448-7. Epub 2024 Jul 30.

Abstract

Wastewater-based environmental surveillance (WBES) has been proven as proxy tool for monitoring nucleic acids of pathogens shed by infected population before clinical outcomes. The poor sewershed network of low to middle-income countries (LMICs) leads to most of the wastewater flow through open drains. We studied the effectiveness of WBES using open drain samples to monitor the emergence of the SARS-CoV-2 variants in 2 megacities of India having dense population through zonation approach. Samples from 28 locations spanned into 5 zones of Pune region, Maharashtra, India, were collected on a weekly basis during October 2021 to July 2022. Out of 1115 total processed samples, 303 (~ 27%) tested positive for SARS-CoV-2. The periodical rise and fall in the percentage positivity of the samples was found to be in sync with the abundance of SARS-CoV-2 RNA and the reported COVID-19 active cases for Pune city. Sequencing of the RNA obtained from wastewater samples confirmed the presence of SARS-CoV-2. Of 337 sequences, lineage identification for 242 samples revealed 265 distinct SARS-CoV-2 variants including 10 highly transmissible ones. Importantly, transition from Delta to Omicron variant could be detected in wastewater samples 2 weeks prior to any clinically reported Omicron cases in India. Thus, this study demonstrates the usefulness of open drain samples for real-time monitoring of a viral pathogen's evolutionary dynamics and could be implemented in LMICs.

摘要

基于污水的环境监测(WBES)已被证明是一种有效的工具,可以监测感染人群在出现临床症状之前排出的病原体核酸。中低收入国家(LMICs)污水管网不完善,导致大部分污水通过明渠排放。我们通过分区方法,利用明渠样本研究了基于污水的环境监测在监测印度两个人口密集的特大城市中 SARS-CoV-2 变异株出现的有效性。2021 年 10 月至 2022 年 7 月期间,每周在印度马哈拉施特拉邦浦那地区的 28 个地点采集样本。在总共处理的 1115 个样本中,有 303 个(约 27%)检测到 SARS-CoV-2 呈阳性。样本阳性百分比的周期性上升和下降与 SARS-CoV-2 RNA 的丰度以及浦那市报告的 COVID-19 活跃病例相吻合。从污水样本中获得的 RNA 测序证实了 SARS-CoV-2 的存在。在 337 个序列中,对 242 个样本的谱系鉴定显示,有 265 种不同的 SARS-CoV-2 变异株,包括 10 种高传染性变异株。重要的是,可以在废水样本中检测到从 Delta 到 Omicron 变异的转变,比印度任何临床上报告的 Omicron 病例提前了 2 周。因此,这项研究表明,明渠样本可用于实时监测病毒病原体的进化动态,并可在 LMICs 中实施。

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