Evidence map›Paper›PMID 41282799›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Adaptation of the multiplexed CRISPR-Cas13 CARMEN RVP assay for longitudinal detection of respiratory pathogens from air samples.

Amy L Ellis, Miranda Stauss, Patrick Barros Tiburcio, Isla E Emmen, Paul T Edlefsen, Ewelina Kosmider, Shari Barlow, Maureen Goss, Jonathan L Temte, Elyse Stachler and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

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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

14 authors.

Amy L EllisDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison WI 53711.ORCID 0000-0002-6503-1399
Miranda StaussWisconsin National Primate Research Center, University of Wisconsin-Madison, Madison WI 53711.
Patrick Barros TiburcioDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison WI 53711.
Isla E EmmenDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison WI 53711.
Paul T EdlefsenFred Hutchinson Cancer Research Center, Vaccine and Infectious Disease Division, Seattle, WA 98109.
Ewelina KosmiderFred Hutchinson Cancer Research Center, Vaccine and Infectious Disease Division, Seattle, WA 98109.
Shari BarlowDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, WI 53711.
Maureen GossDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, WI 53711.
Jonathan L TemteDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, WI 53711.ORCID 0000-0001-7097-583X
Elyse StachlerBroad Institute of MIT and Harvard; Department of Organismic and Evolutionary Biology, Harvard University; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health; Howard Hughes Medical Institute, Cambridge, MA 02142.ORCID 0000-0002-4961-1983
Kyle McMahonBroad Institute of MIT and Harvard; Department of Organismic and Evolutionary Biology, Harvard University; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health; Howard Hughes Medical Institute, Cambridge, MA 02142.
Pardis SabetiBroad Institute of MIT and Harvard; Department of Organismic and Evolutionary Biology, Harvard University; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health; Howard Hughes Medical Institute, Cambridge, MA 02142.ORCID 0000-0002-9843-1890
David H O'ConnorDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison WI 53711.ORCID 0000-0003-2139-470X
Shelby L O'ConnorDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison WI 53711.ORCID 0000-0003-0183-5010

Funding

Anticipating and rapidly responding to respiratory virus outbreaks with continuous air sampling in K-12 schoolsR01AI170737 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI David H. O'Connor, SHELBY L OCONNOR · 2023 to 2026
$3.1M
NCEZID CDC HHS U01 CK000542NCEZID CDC HHS U01 CK000630NIAID NIH HHS R01 AI170737
6 · The paper itself

Abstract

Air sampling is a non-invasive alternative to individual testing for respiratory pathogens. Alternative methods to the "gold standard" quantitative RT-PCR (qRT-PCR) are required to enable higher throughput, lower cost, and more multiplexed detection of pathogens. The multiplexed CRISPR-Cas13 CARMEN Respiratory Viral Panel (RVP) was described previously for high-throughput detection of nine respiratory pathogens from nasal swab samples. Here, we modified and optimized the CARMEN RVP assay to overcome the unique challenges of air samples, including low biomass and environmental inhibitors. We monitored for SARS-CoV-2 and influenza A (Flu A) via qRT-PCR in air samples from 15 schools within Dane County, Wisconsin (USA) during the 2023-2024 school year. SARS-CoV-2 was detectable throughout the entire sampling period, while Flu A detection was seasonal from November 2023 to March 2024. We then analyzed a subset of samples from seven schools using an optimized CARMEN RVP assay for air surveillance (RVP_air) and compared results to qRT-PCR. The RVP_air assay detected several additional pathogens beyond our primary targets. The frequencies and patterns of SARS-CoV-2 positivity, but not Flu A, were similar between qRT-PCR and RVP_air across the 2023-2024 sampling period. We developed a secondary panel (RVP_air_flu) to better detect both H1N1 and H3N2 subtypes. Finally, we compared air sample results to clinical nasal swabs collected from the same school district. For several pathogens (SARS-CoV-2, HCoV-OC43, Flu A), positive air detections coincided with positive nasal swabs. These findings demonstrate that the RVP_air assay can effectively detect airborne pathogens from infected individuals within indoor spaces.

Identifiers

PMID41282799
PMCPMC12633622

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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.