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Record W4416945205 · doi:10.1038/s41598-025-23969-x

MicroRNA-mediated regulatory mechanisms in cow’s ileum and ileum lymph node in response to Mycobacterium avium subspecies paratuberculosis infection

2025· article· en· W4416945205 on OpenAlexafffund
Mengqi Wang, Nathalie Bissonnette, Pier-Luc Dudemaine, Eveline M. Ibeagha‐Awemu

Bibliographic record

VenueScientific Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaDairy Farmers of Canada
KeywordsMycobacterium avium subspecies paratuberculosisParatuberculosisIleumTranscriptomemicroRNAImmune systemGeneEnteritisSubclinical infection

Abstract

fetched live from OpenAlex

Mycobacterium avium subsp. paratuberculosis (MAP) causes Johne’s disease (JD), a chronic enteritis infection affecting ruminants with significant economic implications for the dairy industry. The molecular regulatory mechanisms governing host responses to MAP infection remain unclear. This study elucidated the roles of microRNAs (miRNAs) in the ileum (IL), ileal lymph node (ILLN), and liver of cows during subclinical MAP infection. Tissues (IL, ILLN, and liver) were collected from four JD-positive (JDP), five MAP-tolerant (MAPT), and five healthy control (HC) cows. MiRNA transcriptomes were analyzed using miRNA-sequencing, differential miRNA expression, correlation, and functional analyses. A total of 441, 405, and 201 miRNAs were identified in IL, ILLN, and liver, respectively, including 12 miRNAs highly expressed across all three tissues. ILLN exhibited more differentially expressed (DE) miRNAs, including 20 (JDP vs. HC), 21 (MAPT vs. HC), and 15 (JDP vs. MAPT) than the IL: 17 (JDP vs. HC), 8 (MAPT vs. HC), and 6 (JDP vs. MAPT). MiRNAs DE in both IL and ILLN (bta-miR-146b, bta-miR-375, bta-miR-21-5p, bta-miR-146a, bta-miR-125a, bta-miR-100, bta-miR-147, bta-miR-99a-5p, bta-miR-320 from JDP vs. HC, and bta-miR-146a, bta-let-7b from MAPT vs. HC comparisons) have roles in the immune process suggesting their potential impacts on the host response to MAP infection. The target genes of IL DE miRNAs were overrepresented in more gene ontology terms (68) while those of the ILLN were overrepresented in more pathways (20) demonstrating tissue specificity. In addition, the majority of DE miRNAs and overrepresented functional terms were unique to comparison groups and phenotypes while few were shared by two or more comparison groups and phenotype or infection status. Most of the functional terms such as cytokine receptor activity, regulation of leukocyte mediated immunity, T cell receptor signaling pathway, positive regulation of interleukin-4 production among others, have immune related functions revealing important roles of DE miRNAs in the host immune response to MAP infection. In summary, these findings underscore the pivotal regulatory roles of the identified miRNAs in shaping the host response of cows to JD. Moreover, the results indicated that mostly different sets of miRNAs, biological process and pathways were driving the JDP and MAPT phenotypes, as well as emphasize the tissue-specific nature of the miRNA response to JD, shedding light on the nuanced intricacies of host-pathogen interactions in response to MAP infection.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.270
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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