[免疫调节治疗重症肺炎:决定临床结果的双刃剑]。

J Z Weng, Y M Li
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引用次数: 0

摘要

严重肺炎仍然是对人类健康的主要威胁,特别是在进展为败血症的患者中,免疫失调在其病理生理机制中起着核心作用。尽管免疫调节疗法随着我们对免疫失衡的理解的提高而发展,但相互矛盾的临床证据仍然存在。例如,靶向相似途径的药物可能产生不同的结果,而具有相反作用机制的药物可能产生相似的结果。这种异质性可能源于宿主基线状态、病原体类型、疾病分期和治疗时间的动态变化。未来的突破将需要一个精确的免疫分析框架,该框架集成了动态生物标志物监测、代谢调节和人工智能辅助决策。这些策略的目的是实现针对个体患者的治疗,随着时间的推移进行优化,并平衡病理性抑制与宿主防御保护。这将推动免疫调节疗法从经验方法到精准医学范式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Immunomodulatory therapy in severe pneumonia: a double-edged sword in determining clinical outcomes].

Severe pneumonia remains a major threat to human health, particularly in patients who progress to sepsis, with immune dysregulation playing a central role in its pathophysiological mechanism. Although immunomodulatory therapies have evolved alongside our improved understanding of immune imbalance, conflicting clinical evidence persists. For example, agents targeting similar pathways may produce divergent outcomes, while those with opposing mechanisms of action may yield comparable results. This heterogeneity likely stems from dynamic variations in the host's baseline status, pathogen type, disease stage, and therapeutic timing. Future breakthroughs will require a framework for precision immune profiling that integrates dynamic biomarker monitoring, metabolic modulation, and AI-assisted decision-making. The aim of such strategies is to achieve therapy that is tailored to the individual patient, optimized over time, and balances pathological suppression with host defense preservation. This will advance immunomodulatory therapies from empirical approaches to precision medicine paradigms.

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