Evidence map›Paper›PMID 39789616›Full record

ArticleAnimal microbiome2025

Multi-omics integration and immune profiling identify possible causal networks leading to uterine microbiome dysbiosis in dairy cows that develop metritis.

S Casaro, J G Prim, T D Gonzalez, F Cunha, A C M Silva, H Yu, R S Bisinotto, R C Chebel, J E P Santos, C D Nelson and 4 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

14 authors.

S CasaroDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, 32610, USA.
J G PrimDepartment of Clinical Sciences, Auburn University, Auburn, AL, 36849, USA.
T D GonzalezDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, 32610, USA.
F CunhaDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, 32610, USA.
A C M SilvaDepartment of Animal Sciences, University of Florida, Gainesville, FL, 32610, USA.
H YuDepartment of Animal Sciences, University of Florida, Gainesville, FL, 32610, USA.
R S BisinottoDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, 32610, USA.
R C ChebelDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, 32610, USA.
J E P SantosDepartment of Animal Sciences, University of Florida, Gainesville, FL, 32610, USA.
C D NelsonDepartment of Animal Sciences, University of Florida, Gainesville, FL, 32610, USA.
S J JeonDepartment of Veterinary Biomedical Sciences, Long Island University, Brookville, NY, 11548, USA.
R C BicalhoFERA Diagnostics and Biologicals, College Station, TX, 77845, USA.
J P DriverDivision of Animals Sciences, University of Missouri, Columbia, MO, 65211, USA.
Klibs N GalvãoDepartment of Large Animal Clinical Sciences, University of Florida, Gainesville, FL, 32610, USA. galvaok@ufl.edu.

Funding

U.S. Department of Agriculture 2019-67015-29836
6 · The paper itself

Abstract

backgroundCows that develop metritis experience dysbiosis of their uterine microbiome, where opportunistic pathogens overtake uterine commensals. An effective immune response is critical for maintaining uterine health. Nonetheless, periparturient cows experience immune dysregulation, which seems to be intensified by prepartum over-condition. Herein, Bayesian networks were applied to investigate the directional correlations between prepartum body weight (BW), BW loss, pre- and postpartum systemic immune profiling and plasma metabolome, and postpartum uterine metabolome and microbiome.

resultsThe Bayesian network analysis showed a positive directional correlation between prepartum BW, prepartum BW loss, and plasma fatty acids at parturition, suggesting that heavier cows were in lower energy balance than lighter cows. There was a positive directional correlation between prepartum BW, prepartum systemic leukocyte death, immune activation, systemic inflammation, and metabolomic changes associated with oxidative stress prepartum and at parturition. Immune activation and systemic inflammation were characterized by increased proportion of circulating polymorphonuclear cells (PMN) prepartum, B-cell activation at parturition, interleukin-8 prepartum and at parturition, and interleukin-1β at parturition. These immune changes together with plasma fatty acids at parturition had a positive directional correlation with PMN extravasation postpartum, which had a positive directional correlation with uterine metabolites associated with tissue damage. These results suggest that excessive PMN migration to the uterus leads to excessive endometrial damage. The aforementioned changes had a positive directional correlation with Fusobacterium, Porphyromonas, and Bacteroides in cows that developed metritis, suggesting that excessive tissue damage may disrupt physical barriers or increase substrate availability for bacterial growth.

conclusionsThis work provides robust mechanistic hypotheses for how prepartum BW may impact peripartum immune and metabolic profiles, which may lead to uterine opportunistic pathogens overgrowth and metritis development.

Indexed as

Causal networksImmune dysregulationMetabolomeMicrobiomeMulti-omics

Identifiers

PMID39789616
PMCPMC11716391

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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.