Evidence map›Paper›PMID 40564287›Full record

ArticleAnimals : an open access journal from MDPI2025

Assessing the Impacts of Dairy Farm Antimicrobial Use on the Bovine Fecal Microbiome.

Andrew J Steinberger, Juliana Leite de Campos, Ashley E Kates, Tony L Goldberg, Pamela L Ruegg, Nasia Safdar, Ajay K Sethi, John M Shutske, Garret Suen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Andrew J SteinbergerDepartment of Bacteriology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0002-4222-5406
Juliana Leite de CamposDepartment of Animal Science, Michigan State University, East Lansing, MI 48824, USA.
Ashley E KatesDepartment of Medicine, University of Wisconsin, Madison, WI 53705, USA.
Tony L GoldbergDepartment of Pathobiological Sciences, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0003-3962-4913
Pamela L RueggDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0002-7211-4512
Nasia SafdarDepartment of Medicine, University of Wisconsin, Madison, WI 53705, USA.
Ajay K SethiDepartment of Population Health Sciences, University of Wisconsin, Madison, WI 53726, USA.
John M ShutskeDepartment of Biological Systems Engineering, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0002-4253-8314
Garret SuenDepartment of Bacteriology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0002-6170-711X

Funding

United States Department of Agriculture 20017-68003-26500United States Department of Agriculture WIS04039
6 · The paper itself

Abstract

Rising rates of antimicrobial-resistant infections have prompted increased scrutiny on antimicrobial use (AMU) in livestock agriculture. Dairy farms primarily use antimicrobials to maintain animal health and welfare by treating and preventing infectious diseases. However, the impact of dairy farm AMU practices on the cattle fecal microbiome remains largely unclear, partly due to difficulties in quantifying AMU. This study leveraged quantitative AMU data from 40 large commercial dairy farms to identify farms with low (n = 4) and high (n = 4) AMU. Using 16S rRNA gene amplicon sequencing, we compared the fecal bacterial communities of dairy calves and cows (healthy, cull, sick) by both AMU designation (high/low) and by individual farm AMU, summarized by animal defined daily dose (DDD) and mg/kg. We found significant differences in beta-diversity between cattle from high- and low-AMU groups using either method and found that

Indexed as

amplicon sequencingAMU quantification metricsantimicrobial use (AMU)dairy cattle subpopulationsfecal bacterial community structure

Identifiers

PMID40564287
PMCPMC12189718

What OpenQuestion holds

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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.