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Biomarkers to predict asthma in wheezing preschool children

机译:生物标志物可预测喘息学龄前儿童的哮喘

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Wheezing in preschool children is a very common symptom. An adequate prediction of asthma in these children is difficult and cannot be reliably assessed with conventional clinical tools. The study of potential predictive biomarkers in various media, ranging from invasive sampling (e.g. bronchoscopy) to non-invasive sampling (lung function testing and exhaled breath analysis), was comprehensively reviewed. The evolution in biomarker discovery has resulted in an omics' approach, in which hundreds of biomarkers in the field of genomics, proteomics, metabolomics, and breath-omics' can be simultaneously studied. First, results on gene expression and exhaled breath profiles in predicting an early asthma diagnosis are promising. However, many hurdles need to be overcome before clinical implementation is possible. To reliably predict asthma in a wheezing child, probably a holistic approach is needed, combining clinical information with blood sampling, lung function tests, and potentially exhaled breath analysis. The further development of predictive, non-invasive biomarkers may eventually improve an early asthma diagnosis in wheezing preschool children and assist clinicians in early treatment decision-making.
机译:学龄前儿童的喘息是非常普遍的症状。对这些儿童的哮喘进行充分的预测是困难的,并且不能通过常规临床工具可靠地评估。对从侵入性采样(例如支气管镜)到非侵入性采样(肺功能测试和呼气分析)等各种介质中潜在的预测性生物标记物的研究进行了全面综述。生物标志物发现的发展导致了一种组学方法,其中可以同时研究基因组学,蛋白质组学,代谢组学和呼吸组学领域的数百种生物标志物。首先,在预测早期哮喘诊断中基因表达和呼出气特征的结果很有希望。但是,在临床实施之前,需要克服许多障碍。为了可靠地预测喘息儿童的哮喘,可能需要采取整体方法,将临床信息与血液样本,肺功能检查以及潜在的呼气分析相结合。预测性,非侵入性生物标志物的进一步发展可能最终改善喘息学龄前儿童的早期哮喘诊断,并协助临床医生进行早期治疗决策。

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