Evidence map›Paper›PMID 36760573›Full record

ArticleFrontiers in cardiovascular medicine2023

Role of mitochondrial metabolism in immune checkpoint inhibitors-related myocarditis.

Xin Zhang, Yi Gan, Haoshuai Zhu, Zhihao Liu, Xiaojing Yao, Chao Cheng, Zhenguo Liu, Chunhua Su, Jianyong Zou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Hyperbaric Oxygen Therapy in Experimental Autoimmune Myocarditis: Insights from Preclinical Models to Translational Perspectives.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
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

9 authors at 2 institutions in 1 country.

Xin ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yi GanDepartment of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Haoshuai ZhuDepartment of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhihao LiuDepartment of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaojing YaoDepartment of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chao ChengDepartment of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhenguo LiuDepartment of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chunhua SuDepartment of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jianyong ZouDepartment of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
The First Affiliated Hospital, Sun Yat-sen University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitor-related myocarditis is the deadliest complication of immunotherapy. However, the underlying pathophysiological mechanisms of its occurrence and development remain unclear. Due to the long-term lack of effective early diagnosis and treatment options, it is of great significance to understand the pathophysiological mechanism of immune checkpoint inhibitor-related myocarditis. Methods: Tissue samples from three patients with immune checkpoint inhibitor-related myocarditis and three control tissue samples were collected for protein analysis. Differentially expressed proteins were screened out using quantitative proteomics technology based on TMT markers. Protein-protein interaction (PPI) and Gene Ontology (GO) functional enrichment analyses of cross-factors were subsequently performed. Combined with the PD-L1 subcellular organelle- level protein interaction network, we searched for hub proteins involved in immune checkpoint inhibitor-related myocarditis and explored potential drug sensitivity and disease correlation. Results: A total of 306 differentially expressed proteins were identified in immune checkpoint inhibitor-related myocarditis. Enrichment analysis showed that the differentially expressed proteins were closely related to mitochondrial metabolism. By analyzing mitochondria-related proteins and PD-L1-related proteins, we found four hub proteins, mammalian target of rapamycin (mTOR), Glycogen synthase kinase 3β (GSK3β), Protein tyrosine phosphatase non-receptor type 11 (PTPN11), and Mitofusin 2 (MFN2), indicating that they are closely related to immune checkpoint inhibitor-related myocarditis. Finally, we explored potential drugs for the treatment of immune checkpoint inhibitor-related myocarditis. Conclusion: Mitochondrial metabolism is involved in the process of immune checkpoint inhibitor-related myocarditis, and we identified four hub proteins, which may become new biomarkers for the early diagnosis and treatment of immune checkpoint inhibitor-related myocarditis.

Indexed as

immune checkpoint inhibitorsimmunity therapymitochondrial metabolismmyocarditisproteomics

Identifiers

PMID36760573
PMCPMC9902768
OpenAlexW4317886258

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.