Sphamandla Ntshangase, Shazia Khan, Louise Bezuidenhout, Taťána Gazárková, Jakub Kaczynski, Stephanie Sellers, Nicholas Jw Rattray, David E Newby, Patrick Wf Hadoke, Ruth Andrew
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引用次数: 0
摘要
脂质是动脉粥样硬化性心血管疾病的诱因，但其作用尚不完全清楚。利用基质辅助激光解吸附/电离质谱成像技术比较了不同物种动脉粥样硬化斑块的空间脂质组成，重点是新西兰白兔的主动脉斑块和人类颈动脉斑块（n = 3）。斑块特征（兔子的新内膜和介质，以及人类的脂质坏死核心和纤维帽/组织）中的组织学鉴别脂质包括鞘磷脂、磷脂酰胆碱和胆固醇酯。兔斑块特征之间有 67 种不同的脂质，人斑块特征之间有 199 种不同的脂质，每种脂质在投影得分≥1.0 且 p
Spatial lipidomic profiles of atherosclerotic plaques: A mass spectrometry imaging study.
Lipids contribute to atherosclerotic cardiovascular disease but their roles are not fully understood. Spatial lipid composition of atherosclerotic plaques was compared between species focusing on aortic plaques from New Zealand White rabbits and carotid plaques from humans (n = 3), using matrix-assisted laser desorption/ionization mass spectrometry imaging. Histologically discriminant lipids within plaque features (neointima and media in rabbits, and lipid-necrotic core and fibrous cap/tissue in humans) included sphingomyelins, phosphatidylcholines, and cholesteryl esters. There were 67 differential lipids between rabbit plaque features and 199 differential lipids in human, each with variable importance in projection score ≥1.0 and p < 0.05. The lipid profile of plaques in the rabbit model closely mimicked that of human plaques and two key pathways (impact value ≥ 0.1), sphingolipid and glycerophospholipid metabolism, were disrupted by atherosclerosis in both species. Thus, mass spectrometry imaging of spatial biomarkers offers valuable insights into atherosclerosis.
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Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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