Evidence map›Paper›PMID 26150453›Full record

ArticleApplied and environmental microbiology2015

Uterine Microbiota Progression from Calving until Establishment of Metritis in Dairy Cows.

Soo Jin Jeon, Achilles Vieira-Neto, Mohanathas Gobikrushanth, Rodolfo Daetz, Rodolfo D Mingoti, Ana Carolina Brigolin Parize, Sabrina Lucas de Freitas, Antonio Nelson Lima da Costa, Rodrigo C Bicalho, Svetlana Lima and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
15.0field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 227 citations in OpenAlex.

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  20. Pangenomic and biochemical analyses ofFrontiers in microbiology · 2024
    Article

19 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Soo Jin JeonDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.
Achilles Vieira-NetoDepartment of Animal Sciences, University of Florida, Gainesville, Florida, USA.
Mohanathas GobikrushanthDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.
Rodolfo DaetzDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.
Rodolfo D MingotiDepartment of Animal Sciences, University of Florida, Gainesville, Florida, USA.
Ana Carolina Brigolin ParizeEscola de Veterinária e Zootecnia, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
Sabrina Lucas de FreitasEscola de Veterinária e Zootecnia, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
Antonio Nelson Lima da CostaDepartamento de Zootecnia, Universidade Federal do Ceará, Fortaleza, Ceará, Brazil.
Rodrigo C BicalhoDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, USA.
Svetlana LimaDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, USA.
K Casey JeongDepartment of Animal Sciences, University of Florida, Gainesville, Florida, USA Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.
Klibs N GalvãoDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA D. H. Barron Reproductive and Perinatal Biology Research Program, University of Florida, Gainesville, Florida, USA galvaok@ufl.edu.
University of Florida · USCornell University · USUniversidade Federal de Goiás · BRUniversidade Federal do Ceará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to evaluate the progression of the uterine microbiota from calving until establishment of metritis. Uterine swabs (n = 72) collected at 0, 2, and 6 ± 2 days postpartum (dpp) from 12 metritic and 12 healthy cows were used for metagenomic sequencing of the 16S rRNA gene on the Illumina MiSeq platform. A heat map showed that uterine microbiota was established at calving. The microbiota changed rapidly from 0 to 6 ± 2 dpp, with a decrease in the abundance of Proteobacteria and an increase in the abundance of Bacteroidetes and Fusobacteria, which were dominant in metritic cows. Uterine microbiota composition was shared; however, metritic and healthy cows could be discriminated using relative abundance of bacterial genera at 0, 2, and 6 ± 2 dpp. Bacteroides was the main genus associated with metritis because it was the only genus that showed significantly greater abundance in cows with metritis. As the abundance of Bacteroides organisms increased, the uterine discharge score, a measure of uterine health, worsened. Fusobacterium was also an important genus associated with metritis because Fusobacterium abundance increased as Bacteroides abundance increased and the uterine discharge score worsened as the abundance increased. The correlation with uterine discharge score and the correlation with Bacteroides or Fusobacterium showed that other bacteria, such as Helcoccocus, Filifactor, and Porphyromonas, were also associated with metritis. There were also bacteria associated with uterine health, such as "Candidatus Blochmannia," Escherichia, Sneathia, and Pedobacter.

Indexed as

MicrobiotaPostpartum PeriodAnimalsBacteriaBacteroidetesCattleCattle DiseasesEndometritisFemaleFusobacteriaHigh-Throughput Nucleotide SequencingMicrobial InteractionsProteobacteriaRNA, Ribosomal, 16STime FactorsUterusRNA, Ribosomal, 16S

Identifiers

PMID26150453
PMCPMC4542247
OpenAlexW2150391934

What OpenQuestion holds

Textmetadata
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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.