Hellinen Laura, Bahrpeyma Sina, Rimpelä Anna-Kaisa, Hagström Marja, Reinisalo Mika, Urtti Arto
School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, 70210 Kuopio, Finland.
Drug Research Programme, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, P.O. Box 56, FI-00014 Helsinki, Finland.
Pharmaceutics. 2020 Jun 16;12(6):554. doi: 10.3390/pharmaceutics12060554.
Interactions between drugs and melanin pigment may have major impacts on pharmacokinetics. Therefore, melanin binding can modify the efficacy and toxicity of medications in ophthalmic and other disease of pigmented tissues, such as melanoma. As melanin is present in many pigmented tissues in the human body, investigation of pigment binding is relevant in drug discovery and development. Conventionally, melanin binding assays have been performed using an equilibrium binding study followed by chemical analytics, such as LC/MS. This approach is laborious, relatively slow, and limited to facilities with high performance quantitation instrumentation. We present here a screening of melanin binding with label-free microscale thermophoresis (MST) that utilizes the natural autofluorescence of melanin. We determined equilibrium dissociation constants (K) of 11 model compounds with melanin nanoparticles. MST categorized the compounds into extreme (chloroquine, penicillin G), high (papaverine, levofloxacin, terazosin), intermediate (timolol, nadolol, quinidine, propranolol), and low melanin binders (atropine, methotrexate, diclofenac) and displayed good correlation with binding parameter values obtained with the conventional binding study and LC/MS analytics. Further, correlation was seen between predicted melanin binding in human retinal pigment epithelium and choroid (RPE-choroid) and K values obtained with MST. This method represents a useful and fast approach for classification of compounds regarding melanin binding. Thus, the method can be utilized in various fields, including drug discovery, pharmacokinetics, and toxicology.
药物与黑色素之间的相互作用可能对药代动力学产生重大影响。因此,黑色素结合可改变药物在眼科及其他色素沉着组织疾病(如黑色素瘤)中的疗效和毒性。由于黑色素存在于人体许多色素沉着组织中,因此在药物研发中研究色素结合具有重要意义。传统上,黑色素结合测定是通过平衡结合研究,然后进行化学分析,如液相色谱/质谱(LC/MS)。这种方法费力、相对较慢,且仅限于拥有高性能定量仪器的设施。我们在此展示一种利用黑色素天然自发荧光的无标记微量热泳(MST)筛选黑色素结合的方法。我们测定了11种模型化合物与黑色素纳米颗粒的平衡解离常数(K)。MST将这些化合物分为强结合型(氯喹、青霉素G)、高结合型(罂粟碱、左氧氟沙星、特拉唑嗪)、中等结合型(噻吗洛尔、纳多洛尔、奎尼丁、普萘洛尔)和低结合型(阿托品、甲氨蝶呤、双氯芬酸),并且与通过传统结合研究和LC/MS分析获得的结合参数值显示出良好的相关性。此外,在预测的人视网膜色素上皮和脉络膜(RPE - 脉络膜)中的黑色素结合与通过MST获得的K值之间也观察到相关性。该方法是一种用于化合物黑色素结合分类的有用且快速的方法。因此,该方法可用于包括药物发现、药代动力学和毒理学在内的各个领域。