Evidence map›Paper›PMID 42009636›Full record

ArticleBone research2026

Identification of a new population of Tnn

Tao Zhang, Lin Zhang, Ziyang Yuan, Linfeng Wang, Jianzhong Hu, Thomas Skutella, Hongbin Lu

Abstract read
In one paragraph

Article in Bone 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

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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.

Tao Zhang *Department of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Lin Zhang *Department of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Ziyang Yuan *Department of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Linfeng WangDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Jianzhong HuKey Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China.ORCID 0000-0002-0736-1488
Thomas SkutellaDepartment of Neuroanatomy, Group for Regeneration and Reprogramming, Institute for Anatomy and Cell Biology, Medical Faculty, Heidelberg University, Heidelberg, Germany.
Hongbin LuDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China. hongbinlu@csu.edu.cn.ORCID 0000-0001-7749-3593

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82230085National Natural Science Foundation of China (National Science Foundation of China) 82272572
6 · The paper itself

Abstract

Elucidating the identity of enthesis-resident progenitors is critical for advancing regenerative strategies, particularly in the context of the long-standing question of how is fibrocartilage formed at tendon enthesis (bone-tendon interface) under mechanical loading. To address the question of cellular origins of entheseal fibrocartilage, we first employed spatial transcriptional and single cell sequencing to identify a novel population of Tnn⁺ progenitor cells and delineate their lineage trajectories across developmental stages. Subsequently, we used a diphtheria toxin mediated ablation model targeting these Tnn⁺ progenitors and demonstrated their functional importance, as ablation resulted in hypoplastic phenotypes characterized by impaired fibrocartilage maturation. Furthermore, comparative single-cell profiling between unloaded entheses and normal entheses revealed that tendon unloading significantly diminished both the abundance and chondrogenic potential of Tnn⁺ progenitors. Collectively, these findings resolve fundamental questions regarding enthesis morphogenesis and provide mechanistic insights into how mechanical loading orchestrates this critical developmental process.

Indexed as

FibrocartilageStem CellsTendonsAnimalsMice

Identifiers

PMID42009636
PMCPMC13096267

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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.