Shadows and lights in sepsis immunotherapy.

IF 2.5 3区 医学 Q3 PHARMACOLOGY & PHARMACY
Guillaume Monneret, Muzhda Haem Rahimi, Anne-Claire Lukaszewicz, Fabienne Venet, Morgane Gossez
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引用次数: 0

Abstract

Introduction: Sepsis remains a major global public health challenge. The host's response in sepsis involves both an exaggerated inflammatory reaction and immunosuppressive mechanisms. A better understanding of this response has shed light on the failure of anti-inflammatory therapies administered under the 'one size fits all' approach during the last decades.

Areas covered: To date, patients' management has moved toward a comprehensive precision medicine approach that aims to personalize immunotherapy, whether anti-inflammatory or immunostimulatory. Large Prospective interventional randomized controlled trials validating this approach are about to start. A crucial prerequisite for these studies is to stratify patients based on biomarkers that will help defining the patients' immuno-inflammatory trajectory.

Expert opinion: Some biomarkers are already available in routine clinical care, while improvements are anticipated through the standardized use of transcriptomics and other multi-omics technologies in this field. With these precautions in mind, it is reasonable to anticipate improvement in outcomes in sepsis.

败血症免疫疗法中的光与影
引言败血症仍然是全球公共卫生面临的一大挑战。脓毒症的宿主反应包括夸张的炎症反应和免疫抑制机制。对这一反应的深入了解,揭示了过去几十年来 "一刀切 "式抗炎疗法的失败原因:迄今为止,对患者的管理已转向全面的精准医学方法,该方法旨在实现免疫疗法的个性化,无论是抗炎疗法还是免疫刺激疗法。验证这种方法的大型前瞻性干预随机对照试验即将启动。这些研究的一个重要前提是根据生物标志物对患者进行分层,这将有助于确定患者的免疫炎症轨迹:专家意见:一些生物标志物已经可以在常规临床护理中使用,而通过在该领域标准化使用转录组学和其他多组学技术,生物标志物有望得到改进。考虑到这些预防措施,我们有理由期待败血症的治疗效果会有所改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.60
自引率
3.10%
发文量
163
审稿时长
4-8 weeks
期刊介绍: Expert Opinion on Pharmacotherapy is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles and original papers on newly approved/near to launch compounds mainly of chemical/synthetic origin, providing expert opinion on the likely impact of these new agents on existing pharmacotherapy of specific diseases.
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