Evidence map›Paper›PMID 42133642›Full record

ArticlePloS one2026

Peripheral leukocyte transcriptomic changes in preweaned Holstein heifer calves with varying stages of Bovine Respiratory Disease.

Lindsey C Makratzakis, Joel A Velasco, Neils C Stegelmeier, Stephen P Ficklin, Holly R Hinnant, Lily A Elder, Chris M Mandella, Rachel A Leeson, Carolyn D Fisher, Giovana S Slanzon and 4 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lindsey C MakratzakisDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.ORCID https://orcid.org/0009-0008-0766-9491
Joel A VelascoDepartment of Horticulture, College of Agricultural, Natural, and Resource Sciences, Washington State University, Pullman, Washington, United States of America.
Neils C StegelmeierDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.
Stephen P FicklinDepartment of Horticulture, College of Agricultural, Natural, and Resource Sciences, Washington State University, Pullman, Washington, United States of America.
Holly R HinnantDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.
Lily A ElderDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.
Chris M MandellaDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.
Rachel A LeesonDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.
Carolyn D FisherDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.
Giovana S SlanzonDepartment of Tropical Plant and Soil Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, United States of America.
Corinna T CauchyDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.
Lindsay M ParrishDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.
Kathlyn N HeatonDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.
Craig S McConnelDepartment of Veterinary Clinical Sciences, Field Disease Investigation Unit, College of Veterinary Medicine, Washington State University, Pullman, Washington, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reduction of morbidity and mortality attributable to Bovine Respiratory Disease (BRD) requires a nuanced approach rooted in understanding associated pathophysiological transcriptomic changes. This study aimed to identify 1) transcriptomic changes in peripheral leukocytes indicative of the onset and duration of BRD in preweaned Holstein dairy calves, and 2) potential predictive features (i.e., genes) associated with the progression or resolution of BRD underlying disease susceptibility and animal robustness. Neonatal Holstein dairy calves were enrolled across two years (May 2021: n = 60; May 2022 n = 61) on two conventional dairies located in the central region of the state of Washington, United States. Calves were followed for the first 12 weeks of life with sequential thoracic ultrasonographic and clinical assessments. Calves were retrospectively categorized as healthy (2021: n = 8; 2022: n = 15), onset lobar consolidation (2021: n = 16; 2022: n = 15), chronic lobar consolidation (2021: n = 8; 2022: n = 9), or resolved lobar consolidation (2021: n = 7; 2022: n = 11) based upon thoracic ultrasonography. Leukocytes were isolated from whole blood samples via modified Ficoll-Paque separation followed by RNA extraction and sequencing. Differentially expressed genes (DEGs; FDR < 0.05 and |logFC| > 1) were identified via edgeR for each BRD stage compared to healthy: onset (DEG = 163), chronic (DEG = 27) and resolved (DEG = 0). Random forest classification modeling was then conducted to identify gene features with potential to be predictive of disease progression or resolution. Functional enrichment of associated DEGs suggested a shift in resource allocation from primary growth activity to immune response. Identification of key molecular constituents such as interleukins, integrins, serine protease inhibitors and matrix-associated-remodeling proteins highlight potential intrinsic factors driving differences in disease phenotypes, susceptibility, and animal robustness.

Indexed as

Bovine Respiratory Disease ComplexCattle DiseasesLeukocytesTranscriptomeAnimalsCattleFemaleGene Expression Profiling

Identifiers

PMID42133642
PMCPMC13175367

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.