Evidence map›Paper›PMID 27806685›Full record

ArticleBMC genomics2016

Prepartum body condition score and plane of nutrition affect the hepatic transcriptome during the transition period in grazing dairy cows.

M Vailati-Riboni, S Meier, C R Burke, J K Kay, M D Mitchell, C G Walker, M A Crookenden, A Heiser, S L Rodriguez-Zas, J R Roche and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 4 institutions in 3 countries.

M Vailati-RiboniDepartment of Animal Sciences, University of Illinois, Urbana, 61801, USA.
S MeierDairyNZ Limited, Private Bag 3221, Hamilton, 3240, New Zealand.
C R BurkeDairyNZ Limited, Private Bag 3221, Hamilton, 3240, New Zealand.
J K KayDairyNZ Limited, Private Bag 3221, Hamilton, 3240, New Zealand.
M D MitchellUniversity of Queensland, Centre for Clinical Research, Royal Brisbane & Women's Hospital Campus, Herston, QLD, 4029, Australia.
C G WalkerDairyNZ Limited, Private Bag 3221, Hamilton, 3240, New Zealand.
M A CrookendenDairyNZ Limited, Private Bag 3221, Hamilton, 3240, New Zealand.
A HeiserAgResearch, Hopkirk Research Institute, Grasslands Research Centre, Palmerston North, 4442, New Zealand.
S L Rodriguez-ZasDepartment of Animal Sciences, University of Illinois, Urbana, 61801, USA.
J R RocheDairyNZ Limited, Private Bag 3221, Hamilton, 3240, New Zealand.
J J LoorDepartment of Animal Sciences, University of Illinois, Urbana, 61801, USA. jloor@illinois.edu.
DairyNZ · NZUniversity of Illinois Urbana-Champaign · USAgResearch · NZRoyal Brisbane and Women's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA transcriptomic approach was used to evaluate potential interactions between prepartum body condition score (BCS) and feeding management in the weeks before calving on hepatic metabolism during the periparturient period.

methodsThirty-two mid-lactation grazing dairy cows of mixed age and breed were randomly allocated to one of four treatment groups in a 2 × 2 factorial arrangement: two prepartum BCS categories [4.0 (thin, BCS4) and 5.0 (optimal, BCS5); based on a 10-point scale], and two levels of energy intake during the 3 weeks preceding calving (75 and 125 % of estimated requirements). Liver samples were obtained at -7, 7, and 28 d relative to parturition and subsequent RNA was hybridized to the Agilent 44 K Bovine (V2) Microarray chip. The Dynamic Impact Approach was used for pathway analysis, and Ingenuity Pathway Analysis was used for gene network analysis.

resultsThe greater number of differentially expressed genes in BCS4 cows in response to prepartum feed allowance (1071 vs 310, over the entire transition period) indicates that these animals were more responsive to prepartum nutrition management than optimally-conditioned cows. However, independent of prepartum BCS, pathway analysis revealed that prepartal feeding level had a marked effect on carbohydrate, amino acid, lipid, and glycan metabolism. Altered carbohydrate and amino acid metabolism suggest a greater and more prolonged negative energy balance postpartum in BCS5 cows overfed prepartum. This is supported by opposite effects of prepartum feeding in BCS4 compared with BCS5 cows in pathways encompassing amino acid, vitamin, and co-factor metabolism. The prepartum feed restriction ameliorates the metabolic adaptation to the onset of lactation in BCS5 cows, while detrimentally affecting BCS4 cows, which seem to better adapt when overfed. Alterations in the glycosaminoglycans synthesis pathway support this idea, indicating better hepatic health status in feed-restricted BCS5 and overfed BCS4 cows. Furthermore, IPA network analysis suggests liver damage in feed-restricted thin cows, likely due to metabolic overload.

conclusionOverall, the data support the hypothesis that overfeeding in late-pregnancy should be limited to underconditioned cows, while cows with optimal degree of body condition should be maintained on an energy-restricted diet.

Indexed as

Body CompositionTranscriptomeAnimalsCattleComputational BiologyEnergy MetabolismFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGenomeGenomicsLiverMetabolic Networks and PathwaysNutritional Physiological PhenomenaPregnancyBCSLiver transcriptomePeripartumPrepartum nutrition

Identifiers

PMID27806685
PMCPMC5093966
OpenAlexW2548923632

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.