Evidence map›Paper›PMID 36411435›Full record

ArticleBMC veterinary research2022

The association of hyperketonemia with fecal and rumen microbiota at time of diagnosis in a case-control cohort of early lactation cows.

Asha M Miles, Jessica A A McArt, Svetlana F Lima, Rafael C Neves, Erika Ganda

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 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
2.8field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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  6. Effect ofFrontiers in microbiology · 2024
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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

5 authors at 3 institutions in 1 country.

Asha M MilesDepartment of Animal Science, College of Agricultural Sciences, The Pennsylvania State University, University Park, State College, PA, 16802, USA.
Jessica A A McArtDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Svetlana F LimaDepartment of Medicine, Jill Roberts Institute for IBD Research, Weill Cornell Medicine, New York, NY, 10021, USA.
Rafael C NevesDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, Lafayette, IN, 47907, USA.
Erika GandaDepartment of Animal Science, College of Agricultural Sciences, The Pennsylvania State University, University Park, State College, PA, 16802, USA. ganda@psu.edu.ORCID http://orcid.org/0000-0002-8735-0753
Cornell University · USPennsylvania State University · USPurdue University West Lafayette · US

Funding

U.S. Department of Agriculture This work is/was supported by the USDA National Institute of Food and Agriculture and Hatch Appropriations under Project #PEN04752 Accession #1023328.
6 · The paper itself

Abstract

backgroundMany dairy cows experience a state of energy deficit as they transition from late gestation to early lactation. The aims of this study were to 1) determine if the development of hyperketonemia in early lactation dairy cows is indicated by their gut microbiome, and 2) to identify microbial features which may inform health status. We conducted a prospective nested case-control study in which cows were enrolled 14 to 7 days before calving and followed through their first 14 days in milk (DIM). Hyperketonemic cows (HYK, n = 10) were classified based on a blood β-hydroxybutyrate (BHB) concentration 1.2 mmol/L within their first 14 DIM. For each HYK cow, two non-HYK (CON, n = 20) cows were matched by parity and 3 DIM, with BHB < 1.2 mmol/L. Daily blood BHB measures were used to confirm CON cows maintained their healthy status; some CON cows displayed BHB 1.2 mmol/L after matching and these cows were reclassified as control-HYK (C-HYK, n = 9). Rumen and fecal samples were collected on the day of diagnosis or matching and subjected to 16S rRNA profiling.

resultsNo differences in taxa abundance, or alpha and beta diversity, were observed among CON, C-HYK, and HYK health groups for fecal microbiomes. Similar microbiome composition based on beta diversity analysis was detected for all health statuses, however the rumen microbiome of CON and HYK cows were found to be significantly different. Interestingly, highly similar microbiome composition was observed among C-HYK cow rumen and fecal microbiomes, suggesting that these individual animals which initially appear healthy with late onset of hyperketonemia were highly similar to each other. These C-HYK cows had significantly lower abundance of Ruminococcus 2 in their rumen microbiome compared to CON and HYK groups. Multinomial regressions used to compute log-fold changes in microbial abundance relative to health status were not found to have predictive value, therefore were not useful to identify the role of certain microbial features in predicting health status.

conclusionsLower relative abundance of Ruminococcus 2 in C-HYK cow rumens was observed, suggesting these cows may be less efficient at degrading cellulose although the mechanistic role of Ruminococcus spp. in rumen metabolism is not completely understood. Substantial differences in fecal or rumen microbiomes among cows experiencing different levels of energy deficit were not observed, suggesting that hyperketonemia may not be greatly influenced by gut microbial composition, and vice versa. Further studies using higher resolution -omics approaches like meta-transcriptomics or meta-proteomics are needed to decipher the exact mechanisms at play.

Indexed as

Cattle DiseasesKetosisMicrobiota3-Hydroxybutyric AcidAnimalsCase-Control StudiesCattleFemaleLactationMilkPregnancyProspective StudiesRNA, Ribosomal, 16SRumen3-Hydroxybutyric AcidRNA, Ribosomal, 16S16S rRNA sequencingDairy cowGut microbiomeHyperketonemiaMetagenomics

Identifiers

PMID36411435
PMCPMC9677665
OpenAlexW4309668438

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.