Evidence map›Paper›PMID 38299851›Full record

ArticleMicrobiology spectrum2024

Prospective fecal microbiomic biomarkers for chronic wasting disease.

Adam Didier, Maureen Bourner, Guy Kleks, Avihai Zolty, Brajendra Kumar, Tracy Nichols, Karie Durynski, Susan Bender, Michelle Gibison, Lisa Murphy and 3 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

13 authors at 3 institutions in 2 countries.

Adam DidierMilliporeSigma, Merck KGaA, Darmstadt, Germany.
Maureen BournerMilliporeSigma, Merck KGaA, Darmstadt, Germany.
Guy KleksSigma Aldrich Israel Ltd., Merck KGaA, Darmstadt, Germany.
Avihai ZoltySigma Aldrich Israel Ltd., Merck KGaA, Darmstadt, Germany.
Brajendra KumarSigma Aldrich Chemical Pvt. Ltd., Merck KGaA, Darmstadt, Germany.
Tracy NicholsUnited States Department of Agriculture, Washington, DC, USA.
Karie DurynskiSchool of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Susan BenderSchool of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Michelle GibisonWildlife Futures Program, Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, USA.
Lisa MurphyWildlife Futures Program, Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, USA.
Julie C EllisWildlife Futures Program, Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, USA.
Dawei W DongSchool of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-0112-6233
Anna KashinaSchool of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-0243-6866
University of Pennsylvania · USMerck (Germany) · DEUnited States Department of Agriculture · US

Funding

Pennsylvania Department of Agriculture (PDA)Pennsylvania Game Commission (PGC)
6 · The paper itself

Abstract

Chronic wasting disease (CWD) is a naturally occurring prion disease in cervids that has been rapidly proliferating in the United States. Here, we investigated a potential link between CWD infection and gut microbiome by analyzing 50 fecal samples obtained from CWD-positive animals of different sexes from various regions in the USA compared to 50 CWD-negative controls using high throughput sequencing of the 16S ribosomal RNA and targeted metabolomics. Our analysis reveals promising trends in the gut microbiota that could potentially be CWD-dependent, including several bacterial taxa at each rank level, as well as taxa pairs, that can differentiate between CWD-negative and CWD-positive deer. Through machine-learning, these taxa and taxa pairs at each rank level could facilitate identification of around 70% of both the CWD-negative and the CWD-positive samples. Our results provide a potential tool for diagnostics and surveillance of CWD in the wild, as well as conceptual advances in our understanding of the disease.IMPORTANCEThis is a comprehensive study that tests the connection between the composition of the gut microbiome in deer in response to chronic wasting disease (CWD). We analyzed 50 fecal samples obtained from CWD-positive animals compared to 50 CWD-negative controls to identify CWD-dependent changes in the gut microbiome, matched with the analysis of fecal metabolites. Our results show promising trends suggesting that fecal microbial composition can directly correspond to CWD disease status. These results point to the microbial composition of the feces as a potential tool for diagnostics and surveillance of CWD in the wild, including non-invasive CWD detection in asymptomatic deer and deer habitats, and enable conceptual advances in our understanding of the disease.

Indexed as

DeerWasting Disease, ChronicAnimalsBiomarkersFecesProspective StudiesBiomarkerschronic wasting diseasediagnosticsfecal metabolomicsfecal microbiomicsprion

Identifiers

PMID38299851
PMCPMC10913453
OpenAlexW4391449747

What OpenQuestion holds

Textmetadata
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.