Evidence map›Paper›PMID 37986012›Full record

ArticleAnimal microbiome2023

Unveiling the microbiome during post-partum uterine infection: a deep shotgun sequencing approach to characterize the dairy cow uterine microbiome.

Carl Basbas, Adriana Garzon, Cory Schlesener, Machteld van Heule, Rodrigo Profeta, Bart C Weimer, Noelia Silva-Del-Rio, Barbara A Byrne, Betsy Karle, Sharif S Aly and 2 more

Open access · goldAbstract read
In one paragraph

Article in Animal microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. The Puerperium in the Modern Dairy Cow: A Review.Reproduction in domestic animals = Zuchthygiene · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

12 authors at 3 institutions in 2 countries.

Carl BasbasDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Adriana GarzonDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Cory SchlesenerDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Machteld van HeuleDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Rodrigo ProfetaDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Bart C WeimerDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Noelia Silva-Del-RioDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Barbara A ByrneDepartment of Pathology, Microbiology & Immunology, School of Veterinary Medicine, University of California, Davis, USA.
Betsy KarleCooperative Extension, Division of Agriculture and Natural Resources, University of California, Orland, CA, USA.
Sharif S AlyDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Fabio S LimaDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA.
Richard V PereiraDepartment of Population Health & Reproduction, School of Veterinary Medicine, University of California, Davis, CA, USA. rvpereira@ucdavis.edu.
University of California, Davis · USGhent University · BEUniversity of California Division of Agriculture and Natural Resources · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe goal of this study was to assess the microbial ecology and diversity present in the uterus of post-partum dairy cows with and without metritis from 24 commercial California dairy farms using shotgun metagenomics. A set subset of 95 intrauterine swab samples, taken from a larger selection of 307 individual cow samples previously collected, were examined for α and β diversity and differential abundance associated with metritis. Cows within 21 days post-partum were categorized into one of three clinical groups during sample collection: control (CT, n = 32), defined as cows with either no vaginal discharge or a clear, non-purulent mucus vaginal discharge; metritis (MET, n = 33), defined as a cow with watery, red or brown colored, and fetid vaginal discharge; and purulent discharge cows (PUS, n = 31), defined as a non-fetid purulent or mucopurulent vaginal discharge.

resultsAll three clinical groups (CT, MET, and PUS) were highly diverse, with the top 12 most abundant genera accounting for 10.3%, 8.8%, and 10.1% of mean relative abundance, respectively. The α diversity indices revealed a lower diversity from samples collected from MET and PUS when compared to CT cows. PERMANOVA statistical testing revealed a significant difference (P adjusted < 0.01) in the diversity of genera between CT and MET samples (R2 = 0.112, P = 0.003) and a non-significant difference between MET and PUS samples (R2 = 0.036, P = 0.046). ANCOM-BC analysis revealed that from the top 12 most abundant genera, seven genera were increased in the natural log fold change (LFC) of abundance in MET when compared to CT samples: Bacteroides, Clostridium, Fusobacterium, Phocaeicola, Porphyromonas, Prevotella, and Streptococcus. Two genera, Dietzia and Microbacterium, were decreased in natural LFC of abundance when comparing MET (regardless of treatment) and CT, while no changes in natural LFC of abundance were observed for Escherichia, Histophilus, and Trueperella.

conclusionsThe results presented here, are the current deepest shotgun metagenomic analyses conducted on the bovine uterine microbiome to date (mean of 256,425 genus-level reads per sample). Our findings support that uterine samples from cows without metritis (CT) had increased α-diversity but decreased β-diversity when compared to metritis or PUS cows, characteristic of dysbiosis. In summary, our findings highlight that MET cows have an increased abundance of Bacteroides, Porphyromonas, and Fusobacterium when compared to CT and PUS, and support the need for further studies to better understand their potential causal role in metritis pathogenesis.

Indexed as

DiversityMetritisMicrobiotaUterine microbiome

Identifiers

PMID37986012
PMCPMC10662892
OpenAlexW4388824353

What OpenQuestion holds

Textmetadata
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.