Evidence map›Paper›PMID 42825010›Full record

ReviewCell insight2026

Beyond immune suppression: regenerative programs in regulatory T cells.

Yannan You, Xianting Hu, Yueqing Xue, Zhi Liu

Abstract readReview
In one paragraph

Review in Cell insight, 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

4 authors.

Yannan YouShanghai Immune Therapy Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xianting HuDepartment of Otolaryngology, Head and Neck Surgery, Eye and ENT Hospital, Fudan University, Shanghai, China.
Yueqing XueShanghai Immune Therapy Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhi LiuShanghai Immune Therapy Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulatory T cells (Tregs) are traditionally recognized for their indispensable roles in maintaining immune tolerance and suppressing excessive inflammation. However, accumulating evidence has revealed an unexpected regenerative dimension of Treg biology across multiple tissues. Here, regenerative function refers to the capacity of Tregs to directly regulate stem cells, stromal cells, epithelial cells, and other non-immune tissue cells through specialized reparative mediators, thereby contributing to restoration of tissue structure, cellular composition, or function. Emerging studies demonstrate that these regenerative activities are triggered by tissue injury and coordinated by diverse reparative signals. Notably, in selected experimental settings, specific tissue-regenerative pathways can be mechanistically distinguished from canonical immune-regulatory functions of Tregs, although these programs frequently operate in a coordinated and complementary manner during physiological tissue restoration. In this review, we summarize tissue-adapted regenerative programs employed by Tregs across diverse organs, discuss common principles underlying regenerative Treg biology, and evaluate evidence for dedicated regenerative Treg states. Finally, we propose a conceptual framework in which Tregs function as dual-purpose regulators of both immune homeostasis and tissue restoration, highlighting their broader significance in physiology, disease, and regenerative medicine.

Indexed as

Immune suppressionRegenerative immunologyRegulatory T cellsTissue repair

Identifiers

PMID42825010
PMCPMC13628649

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.