Evidence map›Paper›PMID 43012937›Full record

ReviewCardiovascular drugs and therapy2026

Emerging Multidimensional Technologies for Myocardial Ischemia-Reperfusion Injury.

Fan Jiang, Yanqiong Wu, Zhixiao Li, Changbin Ke, Hongbing Xiang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cardiovascular drugs and therapy, 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.

Fan JiangDepartment of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia, Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, Hubei, China.
Yanqiong WuInstitute of Anesthesiology & Pain (IAP), Department of Anesthesiology and Neurosurgery, Taihe Hospital, College of Pharmacy, Hubei University of Medicine, Shiyan, 442000, China.
Zhixiao LiDepartment of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia, Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, Hubei, China.
Changbin KeInstitute of Anesthesiology & Pain (IAP), Department of Anesthesiology and Neurosurgery, Taihe Hospital, College of Pharmacy, Hubei University of Medicine, Shiyan, 442000, China. changbinke-iap@taihehospital.com.
Hongbing XiangDepartment of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia, Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, Hubei, China. hbxiang@tjh.tjmu.edu.cn.

Funding

National Natural Science Foundation of China 81873467National Natural Science Foundation of China 82501490Natural Science Foundation of Hubei Province 2025AFA019Natural Science Foundation of Hubei Province 2025AFB583
6 · The paper itself

Abstract

Myocardial ischemia-reperfusion injury (MIRI) is a major contributor to myocardial damage across diverse ischemic conditions and remains a particular challenge in cardiac surgery. Its development cannot be explained by a single pathway, but reflects a complex injury process triggered by ischemia and amplified during reperfusion. Recent advances in omics profiling, artificial intelligence and machine-learning methods, advanced imaging, and gene-regulatory technologies have provided new opportunities to investigate MIRI at molecular, cellular, spatial, and temporal levels. In this review, we examine how these approaches have advanced the understanding of key pathological processes in MIRI, including regulated cell death, oxidative stress, inflammation, metabolic dysregulation, extracellular matrix remodeling, and brain-heart axis regulation. We also discuss their contributions to biomarker discovery, therapeutic target validation, myocardial injury assessment, and optimization of intervention strategies, while considering their implications for both mechanistic research and perioperative cardioprotection. Closer integration of these technological advances with clinically relevant questions may improve risk assessment and help guide more precise strategies for the prevention and treatment of MIRI.

Indexed as

Advanced imaging modalitiesArtificial intelligenceMyocardial ischemia–reperfusion injuryOmics analysisTargeted gene regulation

Identifiers

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.