Evidence map›Paper›PMID 35108153›Full record

ArticleEmerging microbes & infections2022

CRISPR-based assay reveals SARS-CoV-2 RNA dynamic changes and redistribution patterns in non-human primate model.

Zhen Huang, Lili Zhang, Christopher J Lyon, Bo Ning, Brady M Youngquist, Alex Niu, Brandon J Beddingfield, Nicholas J Maness, Nakhle S Saba, Chen-Zhong Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2022. 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
0.3field-weighted citation impact, top 46% 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, 3 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

12 authors at 1 institution in 2 countries.

Zhen HuangCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, LA, USA.ORCID 0000-0002-3990-7350
Lili ZhangCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, LA, USA.
Christopher J LyonCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, LA, USA.
Bo NingCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, LA, USA.
Brady M YoungquistCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, LA, USA.
Alex NiuSection of Hematology and Medical Oncology, Tulane University School of Medicine, New Orleans, LA, USA.
Brandon J BeddingfieldDivision of Microbiology, Tulane National Primate Research Center, Covington, LA, USA.
Nicholas J ManessDivision of Microbiology, Tulane National Primate Research Center, Covington, LA, USA.
Nakhle S SabaSection of Hematology and Medical Oncology, Tulane University School of Medicine, New Orleans, LA, USA.ORCID 0000-0003-3206-2575
Chen-Zhong LiCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, LA, USA.
Chad J RoyDivision of Microbiology, Tulane National Primate Research Center, Covington, LA, USA.
Tony Y HuCenter for Cellular and Molecular Diagnostics, Tulane University School of Medicine, New Orleans, LA, USA.
Tulane University · US

Funding

Tulane NPRC SPF Sheltered Outdoor Enclosure ExpansionP51OD011104 · OD · TULANE UNIVERSITY OF LOUISIANA · PI L Lee HAMM · 2012 to 2026
$142.4M
Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Leigh Lamonica · 2012 to 2026
$69.1M
Direct quantitation of the circulating Mtb-peptidome for pediatric TB managementR01HD090927 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI Christopher J Lyon, Charles DeBeaux Mitchell · 2017 to 2026
$4.5M
NICHD NIH HHS R01 HD090927NIGMS NIH HHS U54 GM104940NIH HHS P51 OD011104
6 · The paper itself

Abstract

Mounting evidence indicates that SARS-CoV-2 can infect multiple systemic tissues, but few studies have evaluated SARS-CoV-2 RNA dynamics in multiple specimen types due to their reduced accessibility and diminished performance of RT-qPCR with non-respiratory specimens. Here, we employed an ultrasensitive CRISPR-RT-PCR assay to analyze longitudinal mucosal (nasal, buccal, pharyngeal, and rectal), plasma, and breath samples from SARS-CoV-2-infected non-human primates (NHPs) to detect dynamic changes in SARS-CoV-2 RNA level and distribution among these specimens. We observed that CRISPR-RT-PCR results consistently detected SARS-CoV-2 RNA in all sample types at most time points post-infection, and that SARS-CoV-2 infection dose and administration route did not markedly affect the CRISPR-RT-PCR signal detected in most specimen types. However, consistent RT-qPCR positive results were restricted to nasal, pharyngeal, and rectal swab samples, and tended to decrease earlier than CRISPR-RT-PCR results, reflecting lower assay sensitivity. SARS-CoV-2 RNA was detectable in both pulmonary and extrapulmonary specimens from early to late infection by CRISPR-RT-PCR, albeit with different abundance and kinetics, with SARS-CoV-2 RNA increases detected in plasma and rectal samples trailing those detected in upper respiratory tract samples. CRISPR-RT-PCR assays for SARS-CoV-2 RNA in non-respiratory specimens may thus permit direct diagnosis of suspected COVID-19 cases missed by RT-PCR, while tracking SARS-CoV-2 RNA in minimally invasive alternate specimens may better evaluate the progression and resolution of SARS-CoV-2 infections.

Indexed as

COVID-19SARS-CoV-2AnimalsHumansPrimatesRNA, ViralSensitivity and SpecificitySerologic TestsRNA, ViralCRISPRmulti-site specimensnon-human primateRT-qPCRSARS-CoV-2

Identifiers

PMID35108153
PMCPMC8865122
OpenAlexW4210413063

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.