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

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.

Authors

Institutions

Publication Details

Journal
iScience
Published
2026-09-01
DOI
https://doi.org/10.1016/j.isci.2026.117411
Primary Topic
Macrophage Migration Inhibitory Factor
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Cheuk Hin Kot, Xiaojie Xu, G. Chen, Peifeng Hong et al.
iScience
Macrophage Migration Inhibitory Factor
article

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

Cheuk Hin Kot, Xiaojie Xu, G. Chen, Peifeng Hong, Xu Liang, Zebin Ma
article en

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.

iScienceVol. 29(9)
Chinese University of Hong Kong (HK), Shantou University (CN), First Affiliated Hospital of Shantou University Medical College (CN), Zhuhai Hospital of Integrated Traditional Chinese and Western Medicine (CN)
China Postdoctoral Science Foundation
Openalex Percentile: Top 17%
Macrophage Migration Inhibitory Factor
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.