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飞行时间二次离子质谱分析眼部组织揭示了生化分化和药物分布。

ToF-SIMS analysis of ocular tissues reveals biochemical differentiation and drug distribution.

机构信息

Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, Scotland, United Kingdom.

出版信息

Eur J Pharm Biopharm. 2011 Oct;79(2):328-33. doi: 10.1016/j.ejpb.2011.04.006. Epub 2011 Apr 21.

DOI:10.1016/j.ejpb.2011.04.006
PMID:21540110
Abstract

Time-of-flight secondary ion mass spectrometry (ToF-SIMS) was used to obtain mass spectra from three ocular tissues, the lens, the vitreous and the retina. All three tissues were extracted from control ovine eyes and ovine eyes treated with model drug. To identify variations in surface biochemistry of each ocular tissue, principal component analysis (PCA) was applied to ToF-SIMS data. Interesting physiological differences in Na(+) and K(+) distribution were shown across the three tissue types, with other elements including Ca(2+) and Fe(2+) distribution also detected. In addition to the identification of small molecules and smaller molecular fragments, larger molecules such as phosphocholine were also detected. The ToF-SIMS data were also used to identify the presence of a model drug compound (amitriptyline--chosen as a generic drug structure) within all three ocular tissues, with model drug detected predominantly across the vitreous tissue samples. This study demonstrates that PCA can be successfully applied to ToF-SIMS data from different ocular tissues and highlights the potential of coupling multivariate statistics with surface analytical techniques to gain a greater understanding of the biochemical composition of tissues and the distribution of pharmaceutically active small molecules within these tissues.

摘要

飞行时间二次离子质谱(ToF-SIMS)用于从晶状体、玻璃体和视网膜三种眼部组织中获取质谱。所有三种组织均从对照羊眼和用模型药物处理的羊眼中提取。为了鉴定每种眼部组织表面生物化学的变化,应用主成分分析(PCA)对 ToF-SIMS 数据进行分析。结果表明,在三种组织类型中,Na(+)和 K(+)分布存在有趣的生理差异,还检测到包括 Ca(2+)和 Fe(2+)在内的其他元素分布。除了鉴定小分子和较小的分子片段外,还检测到较大的分子,如磷酸胆碱。ToF-SIMS 数据还用于鉴定所有三种眼部组织中模型药物化合物(选择阿米替林作为通用药物结构)的存在,模型药物主要存在于玻璃体组织样本中。这项研究表明,PCA 可以成功应用于来自不同眼部组织的 ToF-SIMS 数据,并强调了将多元统计与表面分析技术相结合,以更好地了解组织的生化组成以及这些组织中药物活性小分子的分布的潜力。

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