Suppr超能文献

特发性肺纤维化的血清生物标志物。

Serum biomarkers in idiopathic pulmonary fibrosis.

机构信息

Department of Pulmonary Medicine, Erasmus MC, 's-Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.

出版信息

Pulm Pharmacol Ther. 2010 Dec;23(6):515-20. doi: 10.1016/j.pupt.2010.08.001. Epub 2010 Aug 12.

Abstract

Within the group of Idiopathic Interstitial Pneumonias (IIPs), above all Idiopathic Pulmonary Fibrosis (IPF) poses a considerable diagnostic and therapeutic problem. Although genetic profiling indicates that IPF, Non Specific Interstitial Pneumonia (NSIP), and chronic hypersensitivity pneumonitis (HP) are distinctly different diseases, in every day practice these diseases can be difficult to tell apart. Furthermore, treatment of these diseases is notoriously difficult. Serum biomarkers reflect our understanding of the underlying pathogenesis and potentially fulfill a role in establishing a diagnosis, prognosis and therapy. While no single biomarker is currently able to accurately predict the presence or absence of an IIP, a composite of several markers holds promise for the future. Several biomarkers, such as KL-6, surfactant proteins and circulating fibrocytes, appear to contribute to our insight into disease progression and prognosis. It is however uncertain whether these markers give us additional information to common diagnostic tests and their value has as yet to be validated for every day practice. Fortunately, the potential of biomarkers is increasingly recognized and biomarker data are prospectively gathered in current placebo-controlled therapeutic trials.

摘要

在特发性间质性肺炎(IIP)组中,特发性肺纤维化(IPF)尤其构成了相当大的诊断和治疗问题。尽管基因分析表明 IPF、非特异性间质性肺炎(NSIP)和慢性过敏性肺炎(HP)是截然不同的疾病,但在日常实践中,这些疾病可能难以区分。此外,这些疾病的治疗非常困难。血清生物标志物反映了我们对潜在发病机制的理解,并有可能在建立诊断、预后和治疗方面发挥作用。虽然目前没有单一的生物标志物能够准确预测 IIP 的存在或不存在,但几种标志物的组合有望为未来提供帮助。一些生物标志物,如 KL-6、表面活性剂蛋白和循环成纤维细胞,似乎有助于我们了解疾病的进展和预后。然而,这些标志物是否能为我们提供比常见诊断测试更多的信息,以及它们的价值是否已经在日常实践中得到验证,尚不确定。幸运的是,生物标志物的潜力越来越受到认可,生物标志物数据正在当前的安慰剂对照治疗试验中前瞻性收集。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验