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从废水样本中有效去除抑制剂可提高逆转录数字PCR和测序分析的灵敏度,并增强基于废水监测的稳定性。

Effective Inhibitor Removal from Wastewater Samples Increases Sensitivity of RT-dPCR and Sequencing Analyses and Enhances the Stability of Wastewater-Based Surveillance.

作者信息

Linzner Nico, Bartel Alexander, Schumacher Vera, Grau José Horacio, Wyler Emanuel, Preuß Henrike, Garske Sonja, Bitzegeio Julia, Kirst Elisabeth Barbara, Liere Karsten, Hoppe Sebastian, Borodina Tatiana A, Altmüller Janine, Landthaler Markus, Meixner Martin, Sagebiel Daniel, Böckelmann Uta

机构信息

Laboratory of Berliner Wasserbetriebe, Berliner Wasserbetriebe, 13629 Berlin, Germany.

Unit for Surveillance and Epidemiology of Infectious Diseases, State Office for Health and Social Affairs (SOHSA), 10559 Berlin, Germany.

出版信息

Microorganisms. 2024 Dec 2;12(12):2475. doi: 10.3390/microorganisms12122475.

Abstract

Wastewater-based surveillance (WBS) is a proven tool for monitoring population-level infection events. Wastewater contains high concentrations of inhibitors, which contaminate the total nucleic acids (TNA) extracted from these samples. We found that TNA extracts from raw influent of Berlin wastewater treatment plants contained highly variable amounts of inhibitors that impaired molecular analyses like dPCR and next-generation sequencing (NGS). By using dilutions, we were able to detect inhibitory effects. To enhance WBS sensitivity and stability, we applied a combination of PCR inhibitor removal and TNA dilution (PIR+D). This approach led to a 26-fold increase in measured SARS-CoV-2 concentrations, practically reducing the detection limit. Additionally, we observed a substantial increase in the stability of the time series. We define suitable stability as a mean absolute error (MAE) below 0.1 log copies/L and a geometric mean relative absolute error (GMRAE) below 26%. Using PIR+D, the MAE could be reduced from 0.219 to 0.097 and the GMRAE from 65.5% to 26.0%, and even further in real-world WBS. Furthermore, PIR+D improved SARS-CoV-2 genome alignment and coverage in amplicon-based NGS for low to medium concentrations. In conclusion, we strongly recommend both the monitoring and removal of inhibitors from samples for WBS.

摘要

基于废水的监测(WBS)是一种用于监测人群感染事件的成熟工具。废水中含有高浓度的抑制剂,这些抑制剂会污染从这些样本中提取的总核酸(TNA)。我们发现,柏林污水处理厂原进水的TNA提取物中含有数量高度可变的抑制剂,这些抑制剂会干扰数字PCR(dPCR)和下一代测序(NGS)等分子分析。通过稀释,我们能够检测到抑制作用。为了提高WBS的灵敏度和稳定性,我们应用了去除PCR抑制剂和稀释TNA(PIR+D)的组合方法。这种方法使测得的新冠病毒(SARS-CoV-2)浓度提高了26倍,实际上降低了检测限。此外,我们观察到时间序列的稳定性大幅提高。我们将合适的稳定性定义为平均绝对误差(MAE)低于0.1 log拷贝/升,几何平均相对绝对误差(GMRAE)低于26%。使用PIR+D,MAE可从0.219降至0.097,GMRAE从65.5%降至26.0%,在实际的WBS中甚至更低。此外,PIR+D改善了低至中等浓度的基于扩增子的NGS中SARS-CoV-2基因组的比对和覆盖。总之,我们强烈建议对用于WBS的样本进行抑制剂的监测和去除。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fe7/11728302/40c8f7e20414/microorganisms-12-02475-g0A1.jpg

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