Gradient Temperature Raman Spectroscopy of Fatty Acids with One to Six Double Bonds Identifies Specific Carbons and Provides Systematic Three Dimensional Structures

C. Broadhurst, W. Schmidt, Julie K. Nguyen, J. Qin, K. Chao, M. Kim
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引用次数: 6

Abstract

Specialized pro-resolving mediators provide promising targets for new drugs and natural products. Much work has been accomplished on the structure/ function of the lipoxygenase and cyclooxygenase enzymes but not on the substrates. A better visualization of three-dimensional lipid structures will allow increased refinement of the interactions that produce the pro-resolving mediators, and lead to improvements in synthetic pathways. We present systematic analysis of oleic (18:1n-9), linoleic (18:2n-6), alpha-linolenic (18:3n-3), arachidonic (20:4n-6), docosapentaenoic (22:5n-3), and docosahexaenoic (22:6n-3) acids. Continuous gradient temperature Raman spectroscopy (GTRS) applies the temperature gradients utilized in differential scanning calorimetry to Raman spectroscopy. GTRS can identify and differentiate specific carbon chain sites, finally allowing Raman analysis to explain why the long-chain polyunsaturated fatty acids (LC-PUFA) exhibit such extreme functional differences despite minimal changes in chemical structure. Detailed vibrational analysis of the important frequency ranges 1450 - 1200 cm-1 (includes CH2 bending and twisting) and 1750 - 1425 cm-1 (includes C=C stretching and C-C stretching plus H-C in-plane rocking) shows for the first time that each molecule has its own characteristic set of modes with only some redundancy/commonality. The number and frequency of modes correlates with three-dimensional molecular structure, not the degree of unsaturation. The high degree of specificity of lipoxygenase and cyclooxygenase enzymes should be reconsidered in light of the fact that individual sites on the polyunsaturated fatty acid chain are nonequivalent, and each LC-PUFA molecule has an individual, specific three dimensional structure incorporating torsion.
具有一到六个双键的脂肪酸的梯度温度拉曼光谱识别特定的碳并提供系统的三维结构
专门的促分解介质为新药和天然产物提供了有前景的靶点。在脂氧合酶和环氧合酶的结构/功能方面已经完成了许多工作,但在底物方面还没有完成。三维脂质结构的更好可视化将使产生促分解介质的相互作用更加精细,并改善合成途径。我们对油酸(18:1n-9)、亚油酸(18:2n-6)、α-亚麻酸(18:3n-3)、花生四烯酸(20:4n-6)、二十二碳五烯酸(22:5n-3)和二十二碳六烯酸(22:6n-3)进行了系统分析。连续梯度温度拉曼光谱(GTRS)将差示扫描量热法中使用的温度梯度应用于拉曼光谱。GTRS可以识别和区分特定的碳链位点,最终使拉曼分析能够解释为什么长链多不饱和脂肪酸(LC-PUFA)在化学结构变化最小的情况下表现出如此极端的功能差异。对1450-1200 cm-1(包括CH2弯曲和扭曲)和1750-1425 cm-1(包含C=C拉伸和C-C拉伸加H-C平面内摇摆)重要频率范围的详细振动分析首次表明,每个分子都有自己的特征模式集,只有一些冗余/共性。模式的数量和频率与三维分子结构有关,而不是与不饱和度有关。脂氧合酶和环氧合酶的高度特异性应该重新考虑,因为多不饱和脂肪酸链上的各个位点是不等价的,并且每个LC-PUFA分子都有一个单独的、特定的包含扭曲的三维结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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