Evidence map›Paper›PMID 41334767›Full record

ArticleConnective tissue research2026

Flow cytometric identification of dynamic immune cell populations in a rat model of post-traumatic elbow contracture.

Rebecca F Reals, J Caleb Snider, Ryan M Castile, Chelsey L Dunham, Necat Havlioglu, Paul C Cannon, Benjamin M Zmistowski, Aaron M Chamberlain, Matthew R Bersi, Spencer P Lake

Abstract read
In one paragraph

Article in Connective tissue research, 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

10 authors.

Rebecca F RealsDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
J Caleb SniderDepartment of Mechanical Engineering & Materials Science, Washington University in St. Louis, St. Louis, MO, USA.
Ryan M CastileDepartment of Mechanical Engineering & Materials Science, Washington University in St. Louis, St. Louis, MO, USA.
Chelsey L DunhamClinical Center, National Institutes of Health, Bethesda, MD, USA.
Necat HavliogluDepartment of Pathology, John Cochran VA Medical Center, St. Louis, MO, USA.
Paul C CannonDepartment of Mathematics, Brigham Young University-Idaho, Rexburg, ID, USA.
Benjamin M ZmistowskiDepartment of Orthopaedic Surgery, Washington University in St. Louis, St. Louis, MO, USA.
Aaron M ChamberlainMusculoskeletal Clinical Program, Intermountain Health, Salt Lake City, UT, USA.
Matthew R BersiDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Spencer P LakeDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.

Funding

Skeletal Disorders Training ProgramT32AR060719 · NIAMS · WASHINGTON UNIVERSITY · PI Roberto Civitelli · 2011 to 2026
$4.6M
Preclinical evaluation of physical and biological interventions to reduce post- traumatic joint contractureR01AR083378 · NIAMS · WASHINGTON UNIVERSITY · PI Spencer Park Lake · 2024 to 2026
$1.4M
NIAMS NIH HHS R01 AR083378NIAMS NIH HHS T32 AR060719
6 · The paper itself

Abstract

PURPOSE/

aimPost-traumatic joint contracture (PTJC) commonly occurs after elbow injury. Previous findings implied immune system activation in capsules of contracted joints; however, quantifying immune cell populations in rodent joint tissues is challenging due to small size and low cellularity. Here, we used flow cytometry to investigate the temporal immune response and enumerate cell populations in the rat elbow capsule after traumatic injury. MATERIALS AND

methodsAfter inducing PTJC, capsules were harvested from injured, sham, and control rat elbows at multiple time points, stained with surface markers for immune cells, and quantified via flow cytometry. Results were compared to previously published mechanics and histology data from the same model. Another injured group was treated with celecoxib to determine if changes due to anti-inflammatory treatment could be detected.

resultsCompared to control, injured animals displayed elevated leukocytes, T cells, and natural killer cells. CD45+ cells exhibited similar temporal changes as mechanics, which increased and then decreased after injury. CD3+, CD4+, and CD8a+ T cells followed a similar pattern as histology scores, which increased and remained elevated. Treating injured animals with celecoxib increased leukocytes but decreased several immune subpopulations.

conclusionsA method for flow cytometry on rat elbow capsule was established and used to quantify immune cell populations, which changed in response to injury and anti-inflammatory treatment. Comparisons between flow cytometry and previously published mechanics and histology revealed additional insights about temporal patterns in cell-, tissue-, and joint-level changes. Future work will investigate whether changes in immune cells attenuate PTJC symptoms.

Indexed as

ContractureFlow CytometryAnimalsCelecoxibDisease Models, AnimalMaleRatsRats, Sprague-DawleyCelecoxibElbow jointflow cytometryimmune responsepost-traumatic joint contractureT cells

Identifiers

PMID41334767
PMCPMC13233149

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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 OpenQuestion graph.