脓毒症蛋白质组学研究综述

M. Camprubí-Rimblas, A. Artigas, R. Guillamat-Prats
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引用次数: 3

摘要

在过去的几年里,蛋白质组学为我们提供了大量关于生物体在病理和非病理过程中表达的所有蛋白质谱的信息。与其他组学(基因组学、表观遗传学、转录组学和代谢组学)相比,研究蛋白质组学的优势在于,蛋白质反映了所有复杂的复制、转录和翻译网络中的最终效应。脓毒症是由感染引起的全身炎症反应,可导致多器官功能障碍。分泌蛋白的研究将提高对脓毒症过程中涉及的分子机制和途径的认识,因此,数据将使我们能够找到新的治疗靶点。本文综述了脓毒症在病理生理、治疗、诊断、预后等方面的临床前和临床研究的蛋白质组学进展,为脓毒症的研究提供新的视角和方向。蛋白质组学是了解脓毒症感染的病理生理、鉴定早期诊断和预后的新分子以及随访治疗进展的有用技术。新的生物标志物的验证需要大量的患者队列,并使用其他额外的方法。然而,与其他技术一起,蛋白质组学为理解败血症和其他疾病增加了重要的因素。尽管目前的限制,蛋白质组学技术的改进与生物信息学工具可能有助于结果的解释。此外,这些技术在敏感性和敏感性方面的改善可能有助于进一步的脓毒症研究。
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An Overview of Proteomics on Sepsis
Over the last years, proteomics has provided us a lot of information about the spectrum of all the proteins that are expressed by an organism in pathological and non-pathological processes. The advantage of studying the proteome over other omics (genomics, epigenetics, transcriptomics and metabolomics) is that proteins reflect the final effectors in all the complex network of replication, transcription and translation. Sepsis is a systemic inflammatory response caused by infection and that could produce multiple organ dysfunctions. The study of the secreted proteins would improve the knowledge of molecular mechanisms and pathways implicated in the septic process and consequently, data will allow us to find new therapeutic targets. The objective of this review is to summarize the proteomics updates of preclinical and clinical studies of sepsis in fields like pathophysiology, treatment, diagnosis or prognosis, providing new perspectives and directions of sepsis. Proteomics is a useful technique for the understanding of the pathophysiology of sepsis infection, the identification of new molecules for an early diagnosis and the prognosis, and the follow-up of treatment progress. The validation of new biomarkers needs a large cohort of patients and the use of other additional methods. Nevertheless, together with other techniques, proteomics has added important elements to the understanding of sepsis and other diseases. Despite current limitations, proteomic techniques improvement with bioinformatics tools might help results interpretation. Besides, the bettering in sensitivity and sensibility may facilitate further sepsis studies with these techniques.
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