Evidence map›Paper›PMID 42733431›Full record

ArticleiScience2026

Single-cell transcriptomics reveals that tenocyte-derived MIF contributes to tendon injury pathogenesis.

Cheuk Hin Kot, Xiaojie Xu, Peifeng Hong, Xu Liang, Gerun Chen, Zebin Ma

Abstract read
In one paragraph

Article in iScience, 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

6 authors.

Cheuk Hin KotSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Xiaojie XuDepartment of Orthopaedics, Zhuhai Hospital of Integrated Traditional Chinese and Western Medicine (Zhuhai Hospital Affiliated to Faculty of Chinese Medicine, Macau University of Science and Technology), Zhuhai, Guangdong, China.
Peifeng HongDepartment of Orthopaedics, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Xu LiangDepartment of Orthopaedics, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Gerun ChenDepartment of Orthopaedics, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Zebin MaDepartment of Orthopaedics, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tendon injury is accompanied by inflammation and pathological tissue remodeling, yet the underlying cellular and molecular mechanisms remain incompletely understood. Reanalysis of single-cell transcriptomic data across tendon-healing time points revealed dynamic cellular heterogeneity, including eight transcriptionally distinct mesenchymal subpopulations and eight immune-cell clusters. CellChat predicted relatively strong outgoing signaling from mesenchymal populations and incoming signaling to myeloid populations during repair. MIF-associated communication between selected tenocyte and myeloid populations was predicted to increase during the acute injury stage, involving the MIF-(CD74+CXCR4) and MIF-ACKR3 ligand-receptor pairs. MIF expression increased in injured tendon and was associated with inflammatory, apoptotic, stress-related, and histopathological changes. Pharmacological treatment with 4-IPP delivered in a photocrosslinked F127DA hydrogel formulation (F127@4-IPP) attenuated inflammation and osteogenic changes and improved histological outcomes in the mouse injury model. These findings support further evaluation of MIF-associated signaling and F127@4-IPP intervention in tendon injury.

Indexed as

MIFosteogenesissingle-cell transcriptomicstendon injury

Identifiers

PMID42733431
PMCPMC13571148

What OpenQuestion holds

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Registered trials

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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.