Department of Public Health and Pediatrics, University of Turin, 10126 Turin, Italy.
Federated Library of Medicine "F. Rossi", University of Turin, 10126 Turin, Italy.
Int J Mol Sci. 2022 Aug 29;23(17):9820. doi: 10.3390/ijms23179820.
Inflammation is a comprehensive set of physiological processes that an organism undertakes in response to a wide variety of foreign stimuli, such as viruses, bacteria, and inorganic particles. A key role is played by cytokines, protein-based chemical mediators produced by a broad range of cells, including the immune cells recruited in the inflammation site. The aim of this systematic review is to compare baseline values of pro/anti-inflammatory biomarkers measured in Exhaled Breath Condensate (EBC) in healthy, non-smoking adults to provide a summary of the concentrations reported in the literature. We focused on: interleukin (IL)-1β, IL-4, IL-6, IL-8, IL-10, tumour necrosis factor-alpha (TNF-α), and C reactive protein (CRP). Eligible articles were identified in PubMed, Embase, and Cochrane CENTRAL. Due to the wide differences in methodologies employed in the included articles concerning EBC sampling, storage, and analyses, research protocols were assessed specifically to test their adherence to the ATS/ERS Task Force guidelines on EBC. The development of reference intervals for these biomarkers can result in their introduction and use in both research and clinical settings, not only for monitoring purposes but also, in the perspective of future longitudinal studies, as predictive parameters for the onset and development of chronic diseases with inflammatory aetiology.
炎症是生物体对各种外来刺激(如病毒、细菌和无机颗粒)做出反应的一系列综合生理过程。细胞因子在其中起着关键作用,细胞因子是一种由广泛的细胞产生的蛋白质化学介质,包括在炎症部位招募的免疫细胞。本系统评价的目的是比较健康、不吸烟的成年人呼出气冷凝物(EBC)中测量的促炎/抗炎生物标志物的基线值,以总结文献中报告的浓度。我们重点关注白细胞介素(IL)-1β、IL-4、IL-6、IL-8、IL-10、肿瘤坏死因子-α(TNF-α)和 C 反应蛋白(CRP)。在 PubMed、Embase 和 Cochrane CENTRAL 中确定了符合条件的文章。由于纳入的关于 EBC 采样、储存和分析的文章中采用的方法存在很大差异,因此专门评估了研究方案,以测试它们是否符合 ATS/ERS 任务组关于 EBC 的指南。这些生物标志物的参考区间的制定可以导致它们在研究和临床环境中的引入和使用,不仅用于监测目的,而且从未来的纵向研究来看,作为具有炎症病因的慢性疾病发生和发展的预测参数。