Department of Pulmonology, ILD Center of Excellence, St. Antonius Hospital, Nieuwegein, Netherlands.
Department of Pulmonology, University Medical Center, Utrecht, Netherlands.
Front Immunol. 2020 Jul 14;11:1443. doi: 10.3389/fimmu.2020.01443. eCollection 2020.
Sarcoidosis is a heterogeneous disease in terms of presentation, duration, and severity. Due to this heterogeneity, it is difficult to align treatment decisions. Biomarkers have proved to be useful for the diagnosis and prognosis of many diseases, and over the years, many biomarkers have been proposed to facilitate diagnosis, prognosis, and treatment decisions. Unfortunately, the ideal biomarker for sarcoidosis has not yet been discovered. The most commonly used biomarkers are serum and bronchoalveolar lavage biomarkers, but these lack the necessary specificity and sensitivity. In sarcoidosis, therefore, a combination of these biomarkers is often used to establish a proper diagnosis or detect possible progression. Other potential biomarkers include imaging tools and cell signaling pathways. Fluor-18-deoxyglucose positron emission tomography and high-resolution computed tomography have been proven to be more sensitive for the diagnosis and prognosis of both pulmonary and cardiac sarcoidosis than the serum biomarkers ACE and sIL-2R. There is an upcoming role for exploration of signaling pathways in sarcoidosis pathogenesis. The JAK/STAT and mTOR pathways in particular have been investigated because of their role in granuloma formation. The activation of these signaling pathways also proved to be a specific biomarker for the prognosis of sarcoidosis. Furthermore, both imaging and cell signaling biomarkers also enable patients who might benefit from a particular type of treatment to be distinguished from those who will not. In conclusion, the diagnostic and prognostic path of sarcoidosis involves many different types of existing and new biomarker. Research addressing biomarkers and disease pathology is ongoing in order to find the ideal sensitive and specific biomarker for this disease.
结节病在临床表现、病程和严重程度方面存在异质性。由于这种异质性,很难统一治疗决策。生物标志物已被证明对许多疾病的诊断和预后有用,多年来,已经提出了许多生物标志物来促进诊断、预后和治疗决策。不幸的是,结节病的理想生物标志物尚未被发现。最常用的生物标志物是血清和支气管肺泡灌洗生物标志物,但这些标志物缺乏必要的特异性和敏感性。因此,在结节病中,通常会结合这些生物标志物来建立适当的诊断或检测可能的进展。其他潜在的生物标志物包括成像工具和细胞信号通路。氟-18-脱氧葡萄糖正电子发射断层扫描和高分辨率计算机断层扫描已被证明比血清标志物 ACE 和 sIL-2R 更敏感,可用于诊断和预测肺结节病和心脏结节病的病程。探索细胞信号通路在结节病发病机制中的作用具有很大的潜力。JAK/STAT 和 mTOR 通路特别受到关注,因为它们在肉芽肿形成中发挥作用。这些信号通路的激活也被证明是结节病预后的一个特异性生物标志物。此外,成像和细胞信号生物标志物还可以区分可能受益于特定治疗类型的患者和那些不会受益的患者。总之,结节病的诊断和预后途径涉及许多不同类型的现有和新型生物标志物。正在进行研究以确定这种疾病的理想敏感和特异性生物标志物。