Evidence map›Paper›PMID 33880485›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Standardized and optimized preservation, extraction and quantification techniques for detection of fecal SARS-CoV-2 RNA.

Aravind Natarajan, Alvin Han, Soumaya Zlitni, Erin F Brooks, Summer E Vance, Marlene Wolfe, Upinder Singh, Prasanna Jagannathan, Benjamin A Pinsky, Alexandria Boehm and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Aravind Natarajan *Department of Genetics, Stanford University, Stanford, CA, USA.
Alvin Han *Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.
Soumaya ZlitniDepartment of Genetics, Stanford University, Stanford, CA, USA.
Erin F BrooksDepartment of Medicine (Hematology, Blood and Marrow Transplantation), Stanford University, Stanford, CA, USA.
Summer E VanceDepartment of Medicine (Hematology, Blood and Marrow Transplantation), Stanford University, Stanford, CA, USA.
Marlene WolfeDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA.
Upinder SinghDepartment of Medicine (Infectious Diseases and Geographic Medicine), Stanford University, Stanford, CA, USA.
Prasanna JagannathanDepartment of Microbiology and Immunology, Stanford University, Stanford, CA, USA.
Benjamin A PinskyDepartment of Medicine (Infectious Diseases and Geographic Medicine), Stanford University, Stanford, CA, USA.
Alexandria BoehmDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA.
Ami S BhattDepartment of Genetics, Stanford University, Stanford, CA, USA.

Funding

Culture-free pathogen tracking in hospitalized patientsR01AI143757 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2020 to 2023
$3.0M
Emerging novel mechanisms of antibiotic resistance in the prevalent foodborne pathogen, SalmonellaR01AI148623 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2019 to 2023
$2.0M
NIAID NIH HHS R01 AI143757NIAID NIH HHS R01 AI148623
6 · The paper itself

Abstract

COVID-19 patients shed SARS-CoV-2 viral RNA in their stool, sometimes well after they have cleared their respiratory infection. This feature of the disease may be significant for patient health, epidemiology, and diagnosis. However, to date, methods to preserve stool samples from COVID patients, and to extract and quantify viral RNA concentration have yet to be optimized. We sought to meet this urgent need by developing and benchmarking a standardized protocol for the fecal detection of SARS-CoV-2 RNA. We test three preservative conditions for their ability to yield detectable SARS-CoV-2 RNA: OMNIgene-GUT, Zymo DNA/RNA shield kit, and the most common condition, storage without any preservative. We test these in combination with three extraction kits: the QIAamp Viral RNA Mini Kit, Zymo Quick-RNA Viral Kit, and MagMAX Viral/Pathogen Kit. Finally, we also test the utility of two detection methods, ddPCR and RT-qPCR, for the robust quantification of SARS-CoV-2 viral RNA from stool. We identify that the Zymo DNA/RNA shield collection kit and the QiaAMP viral RNA mini kit yield more detectable RNA than the others, using both ddPCR and RT-qPCR assays. We also demonstrate key features of experimental design including the incorporation of appropriate controls and data analysis, and apply these techniques to effectively extract viral RNA from fecal samples acquired from COVID-19 outpatients enrolled in a clinical trial.

Identifiers

PMID33880485
PMCPMC8057253

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Registered trials

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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.