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基于生物信息学的筛查工具在秘鲁特鲁希略市的废水中识别出多种人类和人畜共患病毒。

Bioinformatics-based screening tool identifies a wide variety of human and zoonotic viruses in Trujillo-Peru wastewater.

作者信息

Miyani Brijen, Li Yabing, Guzman Heidy Peidro, Briceno Ruben Kenny, Vieyra Sabrina, Hinojosa Rene, Xagoraraki Irene

机构信息

Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States of America.

Institute for Global Health, Michigan State University, East Lansing, MI, United States of America.

出版信息

One Health. 2024 May 15;18:100756. doi: 10.1016/j.onehlt.2024.100756. eCollection 2024 Jun.

Abstract

Peru was one of the most affected countries during the COVID-19 pandemic. Moreover, multiple other viral diseases (enteric, respiratory, bloodborne, and vector-borne) are endemic and rising. According to Peru's Ministry of Health, various health facilities in the country were reallocated for the COVID-19 pandemic, thereby leading to reduced action to curb other diseases. Many viral diseases in the area are under-reported and not recognized. The One Health approach, in addition to clinical testing, incorporates environmental surveillance for detection of infectious disease outbreaks. The purpose of this work is to use a screening tool that is based on molecular methods, high throughput sequencing and bioinformatics analysis of wastewater samples to identify virus-related diseases circulating in Trujillo-Peru. To demonstrate the effectiveness of the tool, we collected nine untreated wastewater samples from the Covicorti wastewater utility in Trujillo-Peru on October 22, 2022. High throughput metagenomic sequencing followed by bioinformatic analysis was used to assess the viral diversity of the samples. Our results revealed the presence of sequences associated with multiple human and zoonotic viruses including Orthopoxvirus, Hepatovirus, Rhadinovirus, Parechovirus, Mamastrovirus, Enterovirus, Varicellovirus, Norovirus, Kobuvirus, Bocaparvovirus, Simplexvirus, Spumavirus, Orthohepevirus, Cardiovirus, Molliscipoxvirus, Salivirus, Parapoxvirus, Gammaretrovirus, Alphavirus, Lymphocryptovirus, Erythroparvovirus, Sapovirus, Cosavirus, Deltaretrovirus, Roseolovirus, Flavivirus, Betacoronavirus, Rubivirus, Lentivirus, Betapolyomavirus, Rotavirus, Hepacivirus, Alphacoronavirus, Mastadenovirus, Cytomegalovirus and Alphapapillomavirus. For confirmation purposes, we tested the samples for the presence of selective viruses belonging to the genera detected above. PCR based molecular methods confirmed the presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), monkeypox virus (MPXV), noroviruses GI and GII (NoVGI and NoVGII), and rotavirus A (RoA) in our samples. Furthermore, publicly available clinical data for selected viruses confirm our findings. Wastewater or other environmental media surveillance, combined with bioinformatics methods, has the potential to serve as a systematic screening tool for the identification of human or zoonotic viruses that may cause disease. The results of this method can guide further clinical surveillance efforts and allocation of resources. Incorporation of this bioinformatic-based screening tool by public health officials in Peru and other Latin American countries will help manage endemic and emerging diseases that could save human lives and resources.

摘要

秘鲁是新冠疫情期间受影响最严重的国家之一。此外,多种其他病毒性疾病(肠道、呼吸道、血源和媒介传播疾病)在该国呈地方性流行且有上升趋势。根据秘鲁卫生部的数据,该国的各种卫生设施被重新分配用于应对新冠疫情,从而导致控制其他疾病的行动减少。该地区许多病毒性疾病报告不足且未得到识别。“同一健康”方法除了临床检测外,还纳入了环境监测以检测传染病暴发。这项工作的目的是使用一种基于分子方法、高通量测序和废水样本生物信息学分析的筛查工具,以识别在秘鲁特鲁希略流行的与病毒相关的疾病。为了证明该工具的有效性,我们于2022年10月22日从秘鲁特鲁希略的科维科尔蒂污水处理厂收集了9份未经处理的废水样本。采用高通量宏基因组测序并随后进行生物信息学分析来评估样本中的病毒多样性。我们的结果显示存在与多种人类和人畜共患病毒相关的序列,包括正痘病毒、肝炎病毒、拉迪诺病毒、帕里病毒、乳头多瘤空泡病毒、肠道病毒、水痘病毒、诺如病毒、杯状病毒、博卡病毒、单纯疱疹病毒、泡沫病毒、正肝病毒、心病毒、软疣痘病毒、唾液病毒、副痘病毒、γ逆转录病毒、甲病毒、淋巴细胞性脉络丛脑膜炎病毒、红病毒、札幌病毒、科萨病毒、δ逆转录病毒、玫瑰疹病毒、黄病毒、β冠状病毒、风疹病毒、慢病毒、β多瘤病毒、轮状病毒、丙型肝炎病毒、α冠状病毒、腺病毒、巨细胞病毒和α乳头瘤病毒。为了进行确认,我们检测了样本中是否存在上述属的选择性病毒。基于PCR的分子方法证实我们的样本中存在严重急性呼吸综合征冠状病毒2(SARS-CoV-2)、猴痘病毒(MPXV)、诺如病毒GI和GII(NoVGI和NoVGII)以及轮状病毒A(RoA)。此外,可以公开获取的所选病毒的临床数据证实了我们的发现。废水或其他环境介质监测与生物信息学方法相结合,有可能成为识别可能导致疾病的人类或人畜共患病毒的系统筛查工具。该方法的结果可以指导进一步的临床监测工作和资源分配。秘鲁和其他拉丁美洲国家的公共卫生官员采用这种基于生物信息学的筛查工具将有助于管理地方性和新出现的疾病,从而挽救生命和资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed7/11127556/bef64c8212bf/ga1.jpg

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