Nordic Bioscience A/S Herlev Hovedgade 207, 2730 Herlev, Denmark ; University of Southern Denmark Odense, Denmark.
Am J Transl Res. 2013;5(1):1-14. Epub 2013 Jan 21.
The hallmark of a variety of fibrotic diseases such as liver fibrosis, lung fibrosis, skin fibrosis and atherosclerosis is extensive extracellular matrix remodeling (ECMr) of the disease affected tissue. Inflammation often leads to tissue disruption and destruction, upon which locally released battery of proteases such as matrix metalloproteinases and cysteine proteases degrade the surrounding matrix. The degradation products of ECM proteins, the co-called neoepitopes, are released into the systemic circulation. By recent development of Enzyme-Linked Immunosorbent Assays (ELISAs) detecting the pathological tissue turnover in atherosclerosis and liver fibrosis, we have introduced a novel class of biomarkers into the field of fibrotic diseases, which have been proved efficient in the early diagnosis. This work has resulted in identification of common mechanisms involving specific cell types, proteins and proteases as well as pathways shared among the fibrotic diseases. In this analysis we seek to answer following questions: a) Are there common disease mechanisms and cell types involved in both atherosclerosis and fibrosis? b) Can the lessons learned in developing fibrosis biomarkers be used for the development of atherosclerosis biomarkers? Our hypothesis is that by answering the above questions, we may be able to improve general understanding of the early-stage disease initiation and progression of fibrotic diseases, which in turn may aid in early diagnosis, prognosis and ultimately patient management.
各种纤维化疾病(如肝纤维化、肺纤维化、皮肤纤维化和动脉粥样硬化)的标志是疾病受累组织的广泛细胞外基质重塑(ECMr)。炎症常导致组织破坏和损伤,随后局部释放的一系列蛋白酶(如基质金属蛋白酶和半胱氨酸蛋白酶)降解周围基质。ECM 蛋白的降解产物,即所谓的新表位,被释放到全身循环中。通过最近开发的酶联免疫吸附测定(ELISA)检测动脉粥样硬化和肝纤维化中的病理性组织更新,我们已经将一类新的生物标志物引入纤维化疾病领域,这些标志物已被证明在早期诊断中有效。这项工作已经确定了涉及特定细胞类型、蛋白质和蛋白酶以及纤维化疾病之间共享途径的共同机制。在这项分析中,我们试图回答以下问题:a)动脉粥样硬化和纤维化是否涉及共同的疾病机制和细胞类型?b)从纤维化生物标志物的开发中获得的经验能否用于开发动脉粥样硬化生物标志物?我们的假设是,通过回答上述问题,我们或许能够更好地理解纤维化疾病的早期发病和进展机制,从而有助于早期诊断、预后,最终改善患者管理。