Evidence map›Paper›PMID 41935099›Full record

ArticleScientific reports2026

Liver transcriptome dynamics in Holstein cows during the periparturient transition.

Nayan Bhowmik, Mariana da Silva, Alejandro Castaneda, Asha M Miles, Congjun Li, Curtis P Van Tassell, Ransom L Baldwin, J Eduardo Rico, George E Liu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Nayan BhowmikAnimal Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville Agricultural Research Center, Beltsville, MD, 20705, USA.
Mariana da SilvaDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
Alejandro CastanedaDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, Philadelphia, PA, 19348, USA.
Asha M MilesAnimal Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville Agricultural Research Center, Beltsville, MD, 20705, USA.
Congjun LiAnimal Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville Agricultural Research Center, Beltsville, MD, 20705, USA.
Curtis P Van TassellAnimal Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville Agricultural Research Center, Beltsville, MD, 20705, USA.
Ransom L BaldwinAnimal Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville Agricultural Research Center, Beltsville, MD, 20705, USA.
J Eduardo RicoDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, Philadelphia, PA, 19348, USA.
George E LiuAnimal Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville Agricultural Research Center, Beltsville, MD, 20705, USA. George.Liu@usda.gov.

Funding

National Institute of Food and Agriculture 2019-67015-29321
6 · The paper itself

Abstract

During the periparturient phase, dairy cows undergo profound physiological, metabolic, and immunological changes that affect their health, productivity, and reproductive efficiency, with the liver playing a central role in adaptation. In this study, liver transcriptomic changes were assessed in six multiparous Holstein cows by targeting samples approximately 21 d before expected calving date (D-21) and 7 d after calving (D+7) using RNA sequencing. A total of 198 differentially expressed genes (DEGs) were identified between D-21 and D+7 (140 upregulated and 58 downregulated) using |log2[fold-change (FC)]|> 1 and a Benjamini-Hochberg-adjusted P-value < 0.05. At D+7, genes associated with lipid handling, energy metabolism, gluconeogenesis, and cell division were activated, reflecting the elevated energy demands of early lactation. In contrast, genes involved in glycogen, polysaccharide, and ketone metabolism were repressed, indicating metabolic prioritization of energy production overgrowth and storage. KEGG pathway analysis revealed activation of endocrine, digestive, and metabolic pathways, while the p53 signaling pathway controlling the cell cycle and DNA damage response was downregulated, likely promoting cell survival and adaptation. Co-expression network analysis further confirmed activation of these biological processes and pathways. In conclusion, these findings provide insights into liver transcriptomic adaptations that enable periparturient Holstein cows to meet the heightened metabolic demands of early lactation, offering potential targets for improving health and productivity during this critical period.

Indexed as

LiverPeripartum PeriodTranscriptomeAnimalsCattleEnergy MetabolismFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksLactationGene expressionHolsteinPeriparturient periodWeighted Gene Co-expression Network Analysis (WGCNA)

Identifiers

PMID41935099
PMCPMC13201770

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