Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 699

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Foxp3+CD4+T Cells Improve Healing After Myocardial Infarction by Modulating Monocyte/Macrophage Differentiation

Weirather, Johannes, Hofmann, Ulrich D.W., Beyersdorf, Niklas, Ramos, Gustavo C., Vogel, Benjamin, Frey, Anna, Ertl, Georg, Kerkau, Thomas, Frantz, Stefan·2014·Circulation Research

Abstract

Rationale: An exaggerated or persistent inflammatory activation after myocardial infarction (MI) leads to maladaptive healing and subsequent remodeling of the left ventricle. Foxp3+CD4+regulatory T cells (T reg cells) contribute to inflammation resolution. Therefore, T reg cells might influence cardiac healing post-MI. Objective: Our aim was to study the functional role of T reg cells in wound healing post-MI in a mouse model of permanent left coronary artery ligation. Methods and Results: Using a model of genetic T reg-cell ablation (Foxp3 DTR mice), we depleted the T reg-cell compartment before MI induction, resulting in aggravated cardiac inflammation and deteriorated clinical outcome. Mechanistically, T reg-cell depletion was associated with M1-like macrophage polarization, characterized by decreased expression of inflammation-resolving and healing-promoting factors. The phenotype of exacerbated cardiac inflammation and outcome in T reg-cell–ablated mice could be confirmed in a mouse model of anti-CD25 monoclonal antibody–mediated depletion. In contrast, therapeutic T reg-cell activation by superagonistic anti-CD28 monoclonal antibody administration 2 days after MI led to improved healing and survival. Compared with control animals, CD28-SA–treated mice showed increased collagen de novo expression within the scar, correlating with decreased rates of left ventricular ruptures. Therapeutic T reg-cell activation induced an M2-like macrophage differentiation within the healing myocardium, associated with myofibroblast activation and increased expression of monocyte/macrophage-derived proteins fostering wound healing. Conclusions: Our data indicate that T reg cells beneficially influence wound healing after MI by modulating monocyte/macrophage differentiation. Moreover, therapeutic activation of T reg cells constitutes a novel approach to improve healing post-MI.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/circresaha.115.303895

Cites

59 of 59 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 59 references

Cited by

See all 699

Metadata

Authors
Weirather, J., Hofmann, U. D. W., Beyersdorf, N., Ramos, G. C., Vogel, B., Frey, A., Ertl, G., Kerkau, T., & Frantz, S.
Venue
Circulation Research
Published
2014-06-20
Volume
115
Issue
1
Pages
55-67
ISSN
  • 0009-7330 (ISSN-L)
  • 1524-4571
OpenAlex
W2123270129
Cited by
699
References
59
FWCI
24.85
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Foxp3+CD4+T Cells Improve Healing After Myocardial Infarction by Modulating Monocyte/Macrophage Differentiation. https://app.cochat.ai/papers/10.1161/circresaha.115.303895
The paper
Weirather, J., Hofmann, U. D. W., Beyersdorf, N., Ramos, G. C., Vogel, B., Frey, A., Ertl, G., Kerkau, T., & Frantz, S. (2014). Foxp3+CD4+T Cells Improve Healing After Myocardial Infarction by Modulating Monocyte/Macrophage Differentiation. Circulation Research. https://doi.org/10.1161/circresaha.115.303895

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.