Evidence map›Paper›PMID 41852812›Full record

ArticleFrontiers in microbiomes2022

Detection of

Tara G McDaneld, Aspen M Workman, Carol G Chitko-McKown, Larry A Kuehn, Aaron Dickey, Gary L Bennett

Abstract read
In one paragraph

Article in Frontiers in microbiomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Detection of bovine respiratory disease complex-related pathogens in nasopharynx-associated lymphoid tissue.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2025
    Article
  7. The Role ofPathogens (Basel, Switzerland) · 2024
    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

6 authors.

Tara G McDaneldUnited States Department of Agriculture (USDA), Agricultural Research Service (ARS), U.S. Meat Animal Research Center, Clay Center, NE, United States.
Aspen M WorkmanUnited States Department of Agriculture (USDA), Agricultural Research Service (ARS), U.S. Meat Animal Research Center, Clay Center, NE, United States.
Carol G Chitko-McKownUnited States Department of Agriculture (USDA), Agricultural Research Service (ARS), U.S. Meat Animal Research Center, Clay Center, NE, United States.
Larry A KuehnUnited States Department of Agriculture (USDA), Agricultural Research Service (ARS), U.S. Meat Animal Research Center, Clay Center, NE, United States.
Aaron DickeyUnited States Department of Agriculture (USDA), Agricultural Research Service (ARS), U.S. Meat Animal Research Center, Clay Center, NE, United States.
Gary L BennettUnited States Department of Agriculture (USDA), Agricultural Research Service (ARS), U.S. Meat Animal Research Center, Clay Center, NE, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Respiratory disease incidence is intimately associated with an animal's commensal bacteria populations (microbiome), as microbes that are involved with morbidity and mortality are commonly found in animals with no sign of disease. In addition, viral pathogens affect the immune system and appear to play an integral role in the overall incidence of bovine respiratory disease (BRD); so, an understanding of the interaction of the bacterial and viral pathogens in the upper respiratory tract (URT) may help us to understand the impact of these pathogens on development of BRD. For this research, the overall goal was to characterize bacterial and viral populations in the URT of nursing beef calves at initial vaccination and at the time of a BRD outbreak. Methods: Nasal swabs from the URT were collected at initial vaccination (average 45 days of age) and again at the time of the BRD outbreak (average 126 days of age). DNA and RNA were extracted from nasal swabs to evaluate bacterial and viral populations in the URT. Whole blood was also collected at the time of the BRD outbreak for determination of complete blood counts. To evaluate the microbiome, hypervariable regions 1 through 3 along the 16S ribosomal RNA (rRNA) gene were amplified by PCR and sequenced using next-generation sequencing (Illumina MiSeq) for identification of the bacterial taxa present. To evaluate the viral pathogens, multiplex reverse transcription real-time polymerase chain reaction and next-generation sequencing (Illumina NextSeq) was completed. Results: Overall, evaluation of these samples revealed that at the time of the BRD outbreak, all calves were nasally shedding bovine coronavirus and a large percentage had a coinfection with Mycoplasma sp., with Mycoplasma bovirhinis being the predominant species. Neither bovine coronavirus nor Mycoplasma sp. were present at high abundance at the earlier timepoint of initial vaccination. When comparing bacterial population diversity between the two sampling timepoints, alpha diversity was significantly greater at initial vaccination compared to the BRD outbreak (P-value <0.001). Values of leukocytes at the time of the BRD outbreak were also identified to be significantly different between calves with normal or elevated rectal temperatures (P-value <0.05). Discussion: Analysis of the respiratory microflora in the URT during initial vaccination and a BRD outbreak will provide insight into the distribution of bacterial and viral populations in nursing beef calves.

Indexed as

16Scattlemicrobiomenasalrespiratory diseaseviral pathogens

Identifiers

PMID41852812
PMCPMC12993465

What OpenQuestion holds

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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.