Molecular Insights into Ischemia–Reperfusion Injury in Coronary Artery Disease: Mechanisms and Therapeutic Implications: A Comprehensive Review

冠状动脉疾病 医学 缺血 再灌注损伤 心脏病学 疾病 内科学 心肌缺血
作者
Sai Nikhila Ghanta,Lakshmi Prasanna Vaishnavi Kattamuri,Adetayo Odueke,Jawahar L. Mehta
出处
期刊:Antioxidants [MDPI AG]
卷期号:14 (2): 213-213
标识
DOI:10.3390/antiox14020213
摘要

Coronary artery disease remains a leading cause of morbidity and mortality worldwide. Acute myocardial infarction results in ischemia-induced cellular dysfunction and death. While timely reperfusion limits myocardial damage, it paradoxically triggers ischemia-reperfusion injury (IRI), exacerbating tissue damage. IRI, first observed in the 1960s, is mediated by complex molecular pathways, including oxidative stress, calcium dysregulation, endothelial dysfunction, and inflammation. This review examines emerging therapeutic strategies targeting IRI, including ischemic preconditioning, postconditioning, pharmacological agents, and anti-inflammatory therapies. Preconditioning serves as an endogenous protection mechanism, while pharmacological postconditioning has become a more clinically feasible approach to target oxidative stress, inflammation, and apoptosis during reperfusion. Pharmacological agents, such as GSK-3β inhibitors, JNK inhibitors, and mesenchymal stem cell-derived exosomes, have shown promise in modulating molecular pathways, including Wnt/β-catenin and NF-κB, to reduce myocardial injury and enhance recovery. Combination therapies, integrating pharmacological agents with mechanical postconditioning, provide a synergistic approach to further protect tissue and mitigate damage. However, translating preclinical findings to clinical practice remains challenging due to discrepancies between animal models and human conditions, particularly with comorbidities such as diabetes and hypertension. Continued research is essential to refine these therapies, optimize clinical application, and address translational challenges to improve outcomes in IRI.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
2秒前
峰宝宝发布了新的文献求助10
3秒前
4秒前
4秒前
汉堡包应助八戒的梦想采纳,获得10
5秒前
劲秉应助unique采纳,获得10
5秒前
cocolu应助千空采纳,获得10
6秒前
7秒前
斯文败类应助失眠的雅琴采纳,获得10
7秒前
打打应助本之上课采纳,获得10
8秒前
pzk发布了新的文献求助10
8秒前
8秒前
白方明发布了新的文献求助10
8秒前
wei完成签到,获得积分10
9秒前
碧蓝十三发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
10秒前
WXX完成签到,获得积分10
11秒前
11秒前
止山发布了新的文献求助10
11秒前
烟花应助Emily采纳,获得30
13秒前
洛洛发布了新的文献求助10
13秒前
ccerr完成签到,获得积分10
14秒前
赶due小天才完成签到,获得积分10
14秒前
huhu发布了新的文献求助10
14秒前
zhanghan发布了新的文献求助10
15秒前
Yellue完成签到,获得积分20
16秒前
公西钧发布了新的文献求助30
16秒前
止山完成签到,获得积分10
18秒前
科研通AI5应助haveatry采纳,获得30
19秒前
19秒前
鹏-zp发布了新的文献求助10
19秒前
YOLO完成签到 ,获得积分10
19秒前
香蕉觅云应助albertxin采纳,获得10
20秒前
Broadway Zhang完成签到,获得积分10
20秒前
22秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Population Genetics 2000
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3496185
求助须知:如何正确求助?哪些是违规求助? 3081130
关于积分的说明 9165933
捐赠科研通 2774062
什么是DOI,文献DOI怎么找? 1522307
邀请新用户注册赠送积分活动 705841
科研通“疑难数据库(出版商)”最低求助积分说明 703089