Evidence map›Paper›PMID 37808979›Full record

ArticleFrontiers in public health2023

Applications of VirScan to broad serological profiling of bat reservoirs for emerging zoonoses.

Emily Cornelius Ruhs, Wan Ni Chia, Randy Foo, Alison J Peel, Yimei Li, H Benjamin Larman, Aaron T Irving, Linfa Wang, Cara E Brook

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. PhIP-Seq: methods, applications and challenges.Frontiers in bioinformatics · 2024
    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

9 authors at 6 institutions in 4 countries.

Emily Cornelius RuhsDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, United States.
Wan Ni ChiaProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Randy FooProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Alison J PeelCentre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Brisband, QLD, Australia.
Yimei LiDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, United States.
H Benjamin LarmanHBL - Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, United States.
Aaron T IrvingSecond Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Linfa WangProgram in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Cara E BrookDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, United States.
Duke-NUS Medical School · SGUniversity of Chicago · USGriffith University · AUJohns Hopkins Medicine · USPrinceton University · USZhejiang University-University of Edinburgh Institute · CN

Funding

Crossing scales to predict and prevent bat virus zoonoses in a Madagascar ecosystemDP2AI171120 · NIAID · UNIVERSITY OF CHICAGO · PI Cara Brook · 2022 to 2026
$2.5M
NIAID NIH HHS DP2 AI171120
6 · The paper itself

Abstract

Introduction: Bats are important providers of ecosystem services such as pollination, seed dispersal, and insect control but also act as natural reservoirs for virulent zoonotic viruses. Bats host multiple viruses that cause life-threatening pathology in other animals and humans but, themselves, experience limited pathological disease from infection. Despite bats' importance as reservoirs for several zoonotic viruses, we know little about the broader viral diversity that they host. Bat virus surveillance efforts are challenged by difficulties of field capture and the limited scope of targeted PCR- or ELISA-based molecular and serological detection. Additionally, virus shedding is often transient, thus also limiting insights gained from nucleic acid testing of field specimens. Phage ImmunoPrecipitation Sequencing (PhIP-Seq), a broad serological tool used previously to comprehensively profile viral exposure history in humans, offers an exciting prospect for viral surveillance efforts in wildlife, including bats. Methods: Here, for the first time, we apply PhIP-Seq technology to bat serum, using a viral peptide library originally designed to simultaneously assay exposures to the entire human virome. Results: Using VirScan, we identified past exposures to 57 viral genera-including betacoronaviruses, henipaviruses, lyssaviruses, and filoviruses-in semi-captive Discussion: Overall, our work emphasizes the utility of applying biomedical tools, like PhIP-Seq, first developed for humans to viral surveillance efforts in wildlife, while highlighting opportunities for taxon-specific improvements.

Indexed as

ChiropteraDisease ReservoirsAnimalsEcosystemHumansSeroepidemiologic StudiesZoonosesChiropteraPhIP-SeqsurveillanceVirScanvirus

Identifiers

PMID37808979
PMCPMC10559906
OpenAlexW4386960364

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.