Evidence map›Paper›PMID 39966965›Full record

ArticleAnimal microbiome2025

Nasal pathobiont abundance does not differ between dairy cattle with or without clinical symptoms of bovine respiratory disease.

Ruth Eunice Centeno-Delphia, Erica A Long, Audrey C Ellis, Sarah Hofmann, Kara Mosier, Noelmi Ulloa, Johnnie Junior Cheng, Andrew Richards, Jacquelyn P Boerman, Jennifer Koziol and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Ruth Eunice Centeno-DelphiaDepartment of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA.
Erica A LongDepartment of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA.
Audrey C EllisDepartment of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA.
Sarah HofmannDepartment of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA.
Kara MosierDepartment of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA.
Noelmi UlloaEscuela Agrícola Panamericana Zamorano, Valle del Yeguare, Honduras.
Johnnie Junior ChengDepartment of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA.
Andrew RichardsDepartment of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA.
Jacquelyn P BoermanDepartment of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA.
Jennifer KoziolSchool of Veterinary Medicine, Texas Tech University, Amarillo, TX, USA.
Mohit S VermaDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA.
Timothy A JohnsonDepartment of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA. john2185@purdue.edu.

Funding

USDA Agriculture and Food Research Initiative 2020-68014-31302
6 · The paper itself

Abstract

backgroundBovine respiratory disease (BRD) remains a significant health and economic problem to the dairy cattle industry. Multiple risk factors contribute to BRD susceptibility including the bacterial pathobionts Mannheimia haemolytica, Pasteurella multocida, Histophilus somni, and Mycoplasma bovis. Studies have characterized and quantified the abundance of these bacteria in the nasal cavity of cattle to infer and help disease diagnosis; nonetheless, there is still discrepancy in the results observed of when these microbes are commensal or pathogenic. Additionally, some of these studies are limited to a specific farm. The goal of this study is to compare the nasal microbiome community (diversity and composition) and the abundance of the four bacterial pathogens (by qPCR) in the nasal cavity to identify differences between dairy calves that are apparently healthy and those identified to have BRD. Nasal swabs were collected from approximately 50 apparently healthy and 50 BRD-affected calves sampled from five different dairy farms in the US (CA, IN, NY (two farms), and TX).

resultsCalves diagnosed with BRD in NY, and TX had lower nasal microbiome diversity compared to the apparently healthy calves. Differences in the nasal microbiome composition were observed between the different farms predicted by Bray-Curtis and weighted UniFrac dissimilarities. Commensal and pathobiont genera Acinetobacter, Moraxella, Psychrobacter, Histophilus, Mannheimia, Mycoplasma, and Pasteurella were prevalent in the bovine nasal microbiome regardless of farm or disease status. The BRD-pathobiont H. somni was the most prevalent pathobiont among all the samples and M. bovis the least prevalent. Only in CA was the abundance of a pathobiont different according to disease status, where M. haemolytica was significantly more abundant in the BRD-affected animals than apparently healthy animals.

conclusionsThis study offers insight into the nasal microbiome community composition in both animals diagnosed with BRD and healthy animals, and shows that the farm effect plays a more significant role in determining the microbiome community than disease status in young dairy calves.

Indexed as

16S rRNA geneBovine respiratory diseaseBRD-pathobiontsDairy calvesqPCR

Identifiers

PMID39966965
PMCPMC11837595

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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.