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解码中风病因:遗传机制与临床意义的多组学进展

Decoding Stroke Etiology: Multi-Omics Advancements in Genetic Mechanisms and Clinical Implication.

作者信息

Xiao Renxia, Zang Mengxiao, Liu Xiaofeng, Zhu Qingqing, Fu Xiaojing

机构信息

School of Nursing, Shandong Second Medical University, Weifang, Shandong, China.

Weifang People's Hospital, Shandong Second Medical University, Weifang, Shandong, China.

出版信息

Brain Behav. 2025 Sep;15(9):e70792. doi: 10.1002/brb3.70792.

Abstract

PURPOSE

Stroke has a high mortality and disability rate, yet its underlying mechanisms remain not fully understood. The occurrence of stroke is influenced by a combination of environmental factors, genetic factors, and their interaction, making its pathophysiology very intricate.

FINDING

With the development of genetic technology, researchers are endeavoring to explore the genetic risks of stroke from various perspectives, including genomics, transcriptomics, proteomics, and epigenetics, beyond common risk factors such as hypertension, diabetes, and heart disease.

CONCLUSION

These studies have produced significant findings, identifying numerous risk genes, rare variants, copy number variations, and epigenetic characteristics associated with stroke, and enhancing our understanding of stroke occurrence, progression, and prognosis, and holding great promise for advancing personalized medicine with clinical stratification and risk prediction.

摘要

目的

中风具有较高的死亡率和致残率,但其潜在机制仍未完全明确。中风的发生受环境因素、遗传因素及其相互作用的综合影响,其病理生理学非常复杂。

研究结果

随着基因技术的发展,研究人员正努力从多个角度探索中风的遗传风险,包括基因组学、转录组学、蛋白质组学和表观遗传学,而不仅仅局限于高血压、糖尿病和心脏病等常见风险因素。

结论

这些研究取得了重大发现,识别出了众多与中风相关的风险基因、罕见变异、拷贝数变异和表观遗传特征,加深了我们对中风发生、发展和预后的理解,并为通过临床分层和风险预测推进个性化医疗带来了巨大希望。

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