Evidence map›Paper›PMID 36586415›Full record

ArticleThe Lancet. Microbe2023

Nasal host response-based screening for undiagnosed respiratory viruses: a pathogen surveillance and detection study.

Nagarjuna R Cheemarla, Amelia Hanron, Joseph R Fauver, Jason Bishai, Timothy A Watkins, Anderson F Brito, Dejian Zhao, Tara Alpert, Chantal B F Vogels, Albert I Ko and 5 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Microbe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

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  12. Respiratory viruses: New frontiers-a Keystone Symposia report.Annals of the New York Academy of Sciences · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 2 countries.

Nagarjuna R CheemarlaDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
Amelia HanronDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Department of Pathology and Laboratory Medicine, University of Washington, Seattle, WA, USA.
Joseph R FauverDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Department of Epidemiology, University of Nebraska Medical Center, Omaha, NE, USA.
Jason BishaiDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
Timothy A WatkinsDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
Anderson F BritoDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA; Instituto Todos pela Saúde, São Paulo, Brazil.
Dejian ZhaoDepartment of Genetics, Yale School of Medicine, New Haven, CT, USA.
Tara AlpertDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Chantal B F VogelsDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Albert I KoDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Yale Institute of Global Health, Yale School of Public Health, New Haven, CT, USA.
Wade L SchulzDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA.
Marie L LandryDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA.
Nathan D GrubaughDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Yale Institute of Global Health, Yale School of Public Health, New Haven, CT, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
David van DijkDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Computer Science, Yale University, New Haven, CT, USA.
Ellen F FoxmanDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA. Electronic address: ellen.foxman@yale.edu.
Yale University · USUniversity of Nebraska Medical Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Predoctoral Training Program in VirologyT32AI055403 · NIAID · YALE UNIVERSITY · PI KUMAR, PRITI, MOTHES, WALTHER H · 2003 to 2024
$3.6M
An integrative, data-driven, and computational approach to uncovering dynamic mechanisms of early viral infectionR35GM143072 · NIGMS · YALE UNIVERSITY · PI VAN DIJK, DAVID · 2021 to 2025
$2.1M
Host response-based screening for unexpected or emerging respiratory virusesR21AI156208 · NIAID · YALE UNIVERSITY · PI FOXMAN, ELLEN FLESCHER · 2021 to 2022
$461k
NCATS NIH HHS UL1 TR001863NIAID NIH HHS R21 AI156208NIAID NIH HHS T32 AI055403NIGMS NIH HHS R35 GM143072
6 · The paper itself

Abstract

backgroundSymptomatic patients who test negative for common viruses are an important possible source of unrecognised or emerging pathogens, but metagenomic sequencing of all samples is inefficient because of the low likelihood of finding a pathogen in any given sample. We aimed to determine whether nasopharyngeal CXCL10 screening could be used as a strategy to enrich for samples containing undiagnosed viruses.

methodsIn this pathogen surveillance and detection study, we measured CXCL10 concentrations from nasopharyngeal swabs from patients in the Yale New Haven health-care system, which had been tested at the Yale New Haven Hospital Clinical Virology Laboratory (New Haven, CT, USA). Patients who tested negative for a panel of respiratory viruses using multiplex PCR during Jan 23-29, 2017, or March 3-14, 2020, were included. We performed host and pathogen RNA sequencing (RNA-Seq) and analysis for viral reads on samples with CXCL10 higher than 1 ng/mL or CXCL10 testing and quantitative RT-PCR (RT-qPCR) for SARS-CoV-2. We used RNA-Seq and cytokine profiling to compare the host response to infection in samples that were virus positive (rhinovirus, seasonal coronavirus CoV-NL63, or SARS-CoV-2) and virus negative (controls).

findingsDuring Jan 23-29, 2017, 359 samples were tested for ten viruses on the multiplex PCR respiratory virus panel (RVP). 251 (70%) were RVP negative. 60 (24%) of 251 samples had CXCL10 higher than 150 pg/mL and were identified for further analysis. 28 (47%) of 60 CXCL10-high samples were positive for seasonal coronaviruses. 223 (89%) of 251 samples were PCR negative for 15 viruses and, of these, CXCL10-based screening identified 32 (13%) samples for further analysis. Of these 32 samples, eight (25%) with CXCL10 concentrations higher than 1 ng/mL and sufficient RNA were selected for RNA-Seq. Microbial RNA analysis showed the presence of influenza C virus in one sample and revealed RNA reads from bacterial pathobionts in four (50%) of eight samples. Between March 3 and March 14, 2020, 375 (59%) of 641 samples tested negative for 15 viruses on the RVP. 32 (9%) of 375 samples had CXCL10 concentrations ranging from 100 pg/mL to 1000 pg/mL and four of those were positive for SARS-CoV-2. CXCL10 elevation was statistically significant, and a distinguishing feature was found in 28 (8%) of 375 SARS-CoV-2-negative samples versus all four SARS-CoV-2-positive samples (p=4·4 × 10

interpretationThese results confirm CXCL10 as a robust nasopharyngeal biomarker of viral respiratory infection and support host response-based screening followed by metagenomic sequencing of CXCL10-high samples as a practical approach to incorporate clinical samples into pathogen discovery and surveillance efforts.

fundingNational Institutes of Health, the Hartwell Foundation, the Gruber Foundation, Fast Grants for COVID-19 research from the Mercatus Center, and the Huffman Family Donor Advised Fund.

Indexed as

COVID-19VirusesHumansMultiplex Polymerase Chain ReactionRNASARS-CoV-2United StatesRNA

Identifiers

PMID36586415
PMCPMC9835789
OpenAlexW4313217622

What OpenQuestion holds

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LicenceCC BY
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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.