请帮我提取文中的PMID编号,编号以 OR 隔开。1. Introduction Ischemic stroke (IS) remains a leading cause of mortality and disability worldwide, with ischemic events accounting for the majority of all strokes. The narrow therapeutic window for effective treatments necessitates rapid and accurate diagnosis, yet current methods have limitations. Consequently, there is a pressing need to identify novel, blood-based molecular biomarkers that can aid in early diagnosis and improve understanding of the underlying pathophysiology. The brain’s high metabolic demand makes it particularly susceptible to ischemic injury, where a cascade of detrimental events, including excitotoxicity, oxidative stress, and inflammation, is initiated【PMID: 39444789】. Central to this pathological process is mitochondrial dysfunction, which is a critical mechanism driving neuronal injury and death following cerebral ischemia【PMID: 39454290】. As the primary hubs for energy production and cellular homeostasis, mitochondria represent a key area of investigation for identifying therapeutic targets and disease biomarkers in IS. Protein post-translational modifications (PTMs) are recognized as crucial regulatory mechanisms in the pathophysiology of stroke【PMID: 39277050】. Among these, lysine succinylation has emerged as a significant PTM that primarily occurs in mitochondria and plays a vital role in regulating metabolic pathways【PMID: 38387517】. Impaired mitochondrial energy metabolism is a hallmark of stroke, and emerging evidence suggests that the dysregulation of protein succinylation is closely associated with this process, making it a potential therapeutic target【PMID: 37843212】. While mitochondrial dysfunction and aberrant succinylation are individually implicated in IS, a systematic approach to identify biomarkers that integrate these two interconnected biological processes is lacking. Modern multi-omics strategies and machine learning algorithms provide powerful tools for discovering robust biomarker signatures from complex biological data【PMID: 38677823】. Therefore, this study was designed to employ an integrated bioinformatics and machine learning approach to identify a novel gene signature related to both mitochondrial function and succinylation modification in the peripheral blood of IS patients. We aimed to validate its diagnostic performance and explore its association with the immune microenvironment, thereby providing new insights for the diagnosis and treatment of ischemic stroke.
39444789 OR 39454290 OR 39277050 OR 38387517 OR 37843212 OR 38677823
ElavaX是一站式稿件助手,可完成评审/优化建议/全文初步修订等。请上传稿件文档进行下一步深度使用ElavaX深度评估。
友情提醒:如需调用PubMed检索,请将左下角的 ⚡简易模式 切换为 🔍︎PubMed模式。
我以“39444789 OR 39454290 OR 39277050 OR 38387517 OR 37843212 OR 38677823”为检索式在PubMed检索,通过Save→Selection选项:All results →Format选项Abstract (text)→Create file下载了这些文章的题目和摘要。如文章中文献太多,我会让你先进行30篇核对,再进行下一轮的30篇核对。您是一个文献复核专家,请帮我逐一核对文献内容是否支持Introduction中的句子,输出Introduction的正文句子和对应的文献原文,以及文献是否支持的依据。【原文】1. Introduction Ischemic stroke (IS) remains a leading cause of mortality and disability worldwide, with ischemic events accounting for the majority of all strokes. The narrow therapeutic window for effective treatments necessitates rapid and accurate diagnosis, yet current methods have limitations. Consequently, there is a pressing need to identify novel, blood-based molecular biomarkers that can aid in early diagnosis and improve understanding of the underlying pathophysiology. The brain’s high metabolic demand makes it particularly susceptible to ischemic injury, where a cascade of detrimental events, including excitotoxicity, oxidative stress, and inflammation, is initiated【PMID: 39444789】. Central to this pathological process is mitochondrial dysfunction, which is a critical mechanism driving neuronal injury and death following cerebral ischemia【PMID: 39454290】. As the primary hubs for energy production and cellular homeostasis, mitochondria represent a key area of investigation for identifying therapeutic targets and disease biomarkers in IS. Protein post-translational modifications (PTMs) are recognized as crucial regulatory mechanisms in the pathophysiology of stroke【PMID: 39277050】. Among these, lysine succinylation has emerged as a significant PTM that primarily occurs in mitochondria and plays a vital role in regulating metabolic pathways【PMID: 38387517】. Impaired mitochondrial energy metabolism is a hallmark of stroke, and emerging evidence suggests that the dysregulation of protein succinylation is closely associated with this process, making it a potential therapeutic target【PMID: 37843212】. While mitochondrial dysfunction and aberrant succinylation are individually implicated in IS, a systematic approach to identify biomarkers that integrate these two interconnected biological processes is lacking. Modern multi-omics strategies and machine learning algorithms provide powerful tools for discovering robust biomarker signatures from complex biological data【PMID: 38677823】. Therefore, this study was designed to employ an integrated bioinformatics and machine learning approach to identify a novel gene signature related to both mitochondrial function and succinylation modification in the peripheral blood of IS patients. We aimed to validate its diagnostic performance and explore its association with the immune microenvironment, thereby providing new insights for the diagnosis and treatment of ischemic stroke.
调用PubMed检索,帮我解决这个问题:“(PMID: 38677823)是一篇关于结直肠癌筛查的综述,其内容与多组学策略、机器学习或生物标志物发现完全无关。作者需要替换为支持“多组学和机器学习可用于发现生物标志物”这一观点的相关文献”。解决文献不匹配或者部分支持的问题的原则是修改的句子不影响原文的逻辑,替换文献之后可以根据文献的原文修改句子内容。请输出:需要修改的原文,修改后的句子,替换的文献PMID编号。
好的,根据您的要求,我对原文中不恰当的引用进行了修正。
需要修改的原文:
Modern multi-omics strategies and machine learning algorithms provide powerful tools for discovering robust biomarker signatures from complex biological data【PMID: 38677823】.
修改后的句子:
Integrated analysis of multi-omics data provides a powerful approach for biomarker discovery in ischemic stroke, offering insights into disease pathogenesis and identifying therapeutic targets【PMID: 36087702】.
替换的文献PMID编号:
36087702
【BUTTON:修改】
【BUTTON:优化建议】
