Evidence map›Paper›PMID 36778469›Full record

ArticlebioRxiv : the preprint server for biology2025

Epitenon-derived cells comprise a distinct progenitor population that contributes to both fibrosis and regeneration following acute flexor tendon injury in a spatially-dependent manner.

Anne E C Nichols, Lauren Benoodt, Emmanuella Adjei-Sowah, Kyle Jerreld, Alexander Kollar, Constantinos Ketonis, Alayna E Loiselle

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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, 17 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Lauren Benoodt
Emmanuella Adjei-Sowah
Kyle Jerreld
Alexander Kollar
Constantinos Ketonis
Alayna E LoiselleORCID 0000-0002-7548-6653
University of Rochester Medical Center · US

Funding

Epitenon-derived progenitor cells in tendon healing and adaptationR00AR080757 · NIAMS · UNIVERSITY OF ROCHESTER · PI Anne E.C. Nichols · 2024 to 2026
$727k
Epitenon-derived progenitor cells in tendon healing and adaptationK99AR080757 · NIAMS · UNIVERSITY OF ROCHESTER · PI NICHOLS, ANNE E.C. · 2022 to 2023
$283k
NIAMS NIH HHS K99 AR080757NIAMS NIH HHS R00 AR080757
6 · The paper itself

Abstract

Flexor tendon injuries are common and heal poorly owing to both the deposition of function-limiting peritendinous scar tissue and insufficient healing of the tendon itself. Therapeutic options are limited due to a lack of understanding of the cell populations that contribute to these processes. Here, we identified the epitenon as a major source of cells that contribute to both peritendinous fibrosis and regenerative tendon healing following acute tendon injury. Using a combination of genetic lineage tracing and single cell RNA-sequencing (scRNA-seq), we profiled the behavior and contributions of each cell fate to the healing process in a spatio-temporal manner. Integrated scRNA-seq analysis of mouse healing with human peritendinous scar tissue revealed remarkable transcriptional similarity between mouse epitenon-derived cells and fibroblasts present in human peritendinous scar tissue, which was further validated by immunofluorescent staining for conserved markers. Finally, ablation of pro-fibrotic epitenon-derived cells post-tendon injury significantly improved functional recovery. Combined, these results clearly identify the epitenon as the cellular origin of an important progenitor cell population that could be leveraged to improve tendon healing.

Identifiers

PMID36778469
PMCPMC9915485
OpenAlexW4318763119

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.