Evidence map›Paper›PMID 38633369›Full record

ArticleACS ES&T water2024

Highly Multiplexed Reverse-Transcription Loop-Mediated Isothermal Amplification and Nanopore Sequencing (LAMPore) for Wastewater-Based Surveillance.

Seju Kang, Petra Choi, Ayella Maile-Moskowitz, Connor L Brown, Raul A Gonzalez, Amy Pruden, Peter J Vikesland

Open access · hybridAbstract read
In one paragraph

Article in ACS ES&T water, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Seju KangDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID https://orcid.org/0000-0003-3281-4829
Petra ChoiDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID https://orcid.org/0000-0001-8392-189X
Ayella Maile-MoskowitzDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Connor L BrownDepartment of Genetics, Bioinformatics, and Computational Biology, Blacksburg, Virginia 24061, United States.
Raul A GonzalezHampton Roads Sanitation District, Virginia Beach ,Virginia23455, United States.ORCID https://orcid.org/0000-0002-8115-7709
Amy PrudenDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID https://orcid.org/0000-0002-3191-6244
Peter J VikeslandDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID https://orcid.org/0000-0003-2654-5132
Virginia Tech · USHampton Roads Sanitation District · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based surveillance (WBS) has gained attention as a strategy to monitor and provide an early warning for disease outbreaks. Here, we applied an isothermal gene amplification technique, reverse-transcription loop-mediated isothermal amplification (RT-LAMP), coupled with nanopore sequencing (LAMPore) as a means to detect SARS-CoV-2. Specifically, we combined barcoding using both an RT-LAMP primer and the nanopore rapid barcoding kit to achieve highly multiplexed detection of SARS-CoV-2 in wastewater. RT-LAMP targeting the SARS-CoV-2 N region was conducted on 96 reactions including wastewater RNA extracts and positive and no-target controls. The resulting amplicons were pooled and subjected to nanopore sequencing, followed by demultiplexing based on barcodes that differentiate the source of each SARS-CoV-2 N amplicon derived from the 96 RT-LAMP products. The criteria developed and applied to establish whether SARS-CoV-2 was detected by the LAMPore assay indicated high consistency with polymerase chain reaction-based detection of the SARS-CoV-2 N gene, with a sensitivity of 89% and a specificity of 83%. We further profiled sequence variations on the SARS-CoV-2 N amplicons, revealing a number of mutations on a sample collected after viral variants had emerged. The results demonstrate the potential of the LAMPore assay to facilitate WBS for SARS-CoV-2 and the emergence of viral variants in wastewater.

Identifiers

PMID38633369
PMCPMC11019537
OpenAlexW4392193535

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.