Evidence map›Paper›PMID 39775161›Full record

ReviewCurrent cardiology reports2025

Advancing Myocarditis Research: Evaluating Animal Models for Enhanced Pathophysiological Insights.

Yanzhe Xu, Yixing Tan, Zhonghui Peng, Meiyu Liu, Bi Zhang, Ke Wei

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Yanzhe Xu *Medical College, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China.
Yixing Tan *Medical College, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China.
Zhonghui PengMedical College, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China.
Meiyu LiuMedical College, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China.
Bi ZhangMedical College, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China. 004590@huncm.edu.cn.
Ke WeiMedical College, Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China. 004343@hnucm.edu.cn.

Funding

Changsha Outstanding Innovative Youth Training program kh2307003High-level Talent in Health and Wellness of Hunan Province No:20240304114Project of Hunan provincial Health Commission D202301067791
6 · The paper itself

Abstract

purpose of reviewThis review aims to assess the current landscape of animal models used in myocarditis research, with a focus on understanding their utility in uncovering the pathophysiology of the disease. The goal is to evaluate these models' strengths and weaknesses and propose optimizations to make them more relevant and reliable for both mechanistic studies and therapeutic interventions in myocarditis. RECENT

findingsRecent studies have primarily utilized animal models, particularly viral and autoimmune myocarditis models, to study disease mechanisms. Coxsackievirus remains the most common virus used in viral myocarditis models, offering high success rates but limited applicability to human cases due to differences in infection patterns. Autoimmune myocarditis models, often involving humanized mice, have made strides in mimicking human immune responses but still face challenges in accuracy and clinical relevance. COVID-19 has introduced new avenues for research, especially concerning vaccine-induced myocarditis, although findings remain preliminary. Animal models remain crucial for myocarditis research, but each comes with distinct challenges. Viral models excel in success rate but suffer from partial relevance to human conditions. Autoimmune models are useful in immunological studies, though costly and less replicable. Vaccine-associated models are closely related to modern clinical conditions, but lack theoretical support and therefore lack reliability. Optimizing these models could improve our understanding of myocarditis and lead to more effective treatments. Future research should aim to refine these models to better simulate human conditions and enhance their clinical applicability, ultimately advancing the diagnosis and treatment of myocarditis.

Indexed as

Autoimmune DiseasesDisease Models, AnimalMyocarditisAnimalsCOVID-19MiceSARS-CoV-2Animal ModelsCOVID-19MyocarditisPathogenesis

Identifiers

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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.