Evidence map›Paper›PMID 42370183›Full record

ReviewTheranostics2026

Understanding immune checkpoint inhibitors-related myocarditis: Mechanisms and targeted therapeutic pathways.

Wenxiao Xia, Huan Zhang, Libo Liu, Chenchen Tu, Xiantao Song

Abstract readReview
In one paragraph

Review in Theranostics, 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

5 authors.

Wenxiao XiaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, China.
Huan ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, China.
Libo LiuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, China.
Chenchen TuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, China.
Xiantao SongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitor (ICI)-related myocarditis is a rare but often fatal adverse event that has gained increasing attention due to the widespread clinical use of ICIs. This review explores the development of immune cells and their critical roles in cardiac autoimmunity, with particular focus on defects in central tolerance, the role of immune checkpoints, T cell trafficking to the heart, and the involvement of resident cardiac macrophages. It also introduces the key pathogenic mechanisms of ICI-related myocarditis, including the activation of autoreactive T cells that recognize self or shared antigens, the crosstalk between T cells and macrophages, and macrophage polarization. In addition, we also discuss current and emerging targetable therapeutic pathways, including cytokine modulation, the JAK/STAT pathway, and the use of CTLA-4 immunoglobulin. We further summarize practical diagnostic and prognostic approaches, including the role and limitations of troponin-based monitoring, echocardiography, magnetic resonance imaging, PET-CT applications, and endomyocardial biopsy. This review aims to establish a mechanistic framework that integrates pathogenic mechanisms, diagnostic and prognostic approaches, and therapeutically targetable pathways in ICI-related myocarditis.

Indexed as

Immune Checkpoint InhibitorsMyocarditisAnimalsAutoimmunityHumansMacrophagesT-LymphocytesImmune Checkpoint Inhibitorscardiac autoimmunityimmune checkpoint inhibitorsmyocarditistargeted therapies

Identifiers

PMID42370183
PMCPMC13295844

What OpenQuestion holds

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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.