Evidence mapPaperPMID 41468690Full record

ArticleAmerican journal of veterinary research2026

Senescence-associated gene pathways are differentially expressed in equine aging-related osteoarthritis.

Jacob Singer, Lyndah Chow, Dylan Ammons, Isabella Sabino, Renata Impastato, Steven Dow, Lynn M Pezzanite

Abstract read
In one paragraph

Article in American journal of veterinary research, 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

7 authors.

Jacob SingerOrthopaedic Research Center, Translational Medicine Institute, Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.ORCID https://orcid.org/0009-0003-9299-8612
Lyndah ChowOrthopaedic Research Center, Translational Medicine Institute, Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.ORCID https://orcid.org/0000-0002-6413-9517
Dylan AmmonsOrthopaedic Research Center, Translational Medicine Institute, Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.ORCID https://orcid.org/0000-0001-5198-1206
Isabella SabinoOrthopaedic Research Center, Translational Medicine Institute, Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.ORCID https://orcid.org/0000-0002-3513-6480
Renata ImpastatoOrthopaedic Research Center, Translational Medicine Institute, Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.ORCID https://orcid.org/0009-0008-6602-102X
Steven DowImmunotherapy Research Laboratory, Translational Medicine Institute, Department of Clinical Science, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.ORCID https://orcid.org/0000-0001-5488-9464
Lynn M PezzaniteOrthopaedic Research Center, Translational Medicine Institute, Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO.ORCID https://orcid.org/0000-0003-4990-5006

Funding

Role of gut microbiome dysbiosis and sustained inflammation in osteoarthritisK01OD037846 · OD · COLORADO STATE UNIVERSITY · PI Lynn Pezzanite · 2025 to 2026
$250k
NIH HHS K01 OD037846
6 · The paper itself

Abstract

Objective: Osteoarthritis (OA) is a aging-associated degenerative joint disease. The objective was to determine relative senescence gene expression in joints and leukocytes of OA horses toward considering senotherapeutics to manage OA. Methods: To define local (joint) and systemic (peripheral blood mononuclear cells [PBMCs]) senescence burden, synovial fluid cell single-cell RNA sequencing and PBMC mRNA sequencing datasets (n = 65 samples) were examined. Differential analyses were conducted using limma to compare OA versus control. A custom 3,043-gene senescence set curated from published metadata was applied to differential analyses to investigate senescence-specific pathways. Senescence genes were divided into 8 categories; scores were calculated with fast gene set enrichment analysis with P value computed via permutation and log2 fold change ranks. Results: Synovial fluid single-cell RNA sequencing data revealed cell type-specific heterogeneity in senescence gene expression. Fast gene set enrichment analysis pathway analysis confirmed enrichment/upregulation in inflammatory and stress-induced senescence in dendritic, cycling, CD8 T, and gamma delta T cells. Senescence-associated secretory phenotype pathways were predominantly represented in cycling cells. Senescence genes aryl hydrocarbon receptor (AHR), IL-1 receptor antagonist (IL1RN), heme oxygenase 1 (HMOX1), plasminogen activator, urokinase receptor (PLAUR), and tissue inhibitor of metalloproteinase 1 (TIMP1) were upregulated in multiple synovial fluid cell types. In contrast, genes in most senescence categories were downregulated in PBMCs. Conclusions: Senescence pathways were differentially expressed in aged horses with OA, with upregulation of senescence genes in the joint and downregulation in PBMCs. Clinical Relevance: Therapeutic strategies targeting senescent cells may be a disease-modifying strategy to treat equine OA.

Indexed as

AgingCellular SenescenceGene Expression RegulationHorse DiseasesOsteoarthritisAnimalsFemaleHorsesLeukocytes, MononuclearMaleSynovial Fluidequineosteoarthritissenescencesenolyticssenotherapeutics

Identifiers

PMID41468690
PMCPMC13244239

What Socratic holds

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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 Socratic graph.