进一步解释为什么鸡肌肉中类二十烷前体脂肪酸百分比呈正相关的研究

Arne T Høstmark
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We first present considerations concerning associations in general between relative amounts of three positive scale variables, two of which (A, B) having narrow ranges relative to the third one (C). Next, we show results of computer experiments to test the reasoning. Results and Discussions: We made S = A + B + C, i.e. %A + %B + %C = 100. %A correlated positively with %B, whereas %A (%B) related negatively to %C. The particular ranges of A, B, and C seemed to explain these associations. We found that slope of %A (abscissa) vs. %B approached B/A. Furthermore, slope of %A (abscissa) vs. %C approached –(1 +B/A), and that of %B (abscissa) vs. %C was near –(1+ A/B). We also show equations of regression lines concerning associations between A (B, C) percentages of S, when ranges of A and B are narrow relative to C. Finally, we compare slope values obtained by the formulas, and by linear regression. 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引用次数: 0

摘要

背景:含有20或22个碳原子的多不饱和脂肪酸是类二十烷和二十二烷的前体,是细胞生理学中重要的调节分子。在鸡的胸肌中,我们最近报道了这些前体的百分比正相关。随后,我们观察到脂肪酸的浓度范围似乎引起了正相关,例如%EPA(二十碳五烯酸,20:5:n3)和%AA(花生四烯酸,20:4 n6)之间。目的:进一步解释二十烷酸和二十烷酸前体相对量之间的相关性。方法:与油酸(18:1 c9)等主要脂肪酸相比,前体的数量少,变异性低。我们首先提出关于三个正尺度变量相对数量之间的一般关联的考虑,其中两个(A, B)相对于第三个(C)具有狭窄的范围。接下来,我们展示了计算机实验的结果来测试推理。结果与讨论:S = A + B + C,即%A + %B + %C = 100。%A与%B正相关,而%A (%B)与%C负相关。A、B和C的特定范围似乎可以解释这些关联。我们发现%A(横坐标)与%B的斜率接近B/A。此外,%A(横坐标)与%C的斜率接近- (1+ B/A), %B(横坐标)与%C的斜率接近- (1+ A/B)。当A和B的范围相对于C较窄时,我们还展示了有关S的A (B, C)百分比之间关联的回归线方程。最后,我们比较了公式和线性回归得到的斜率值。结论:我们认为二十烷酸前体脂肪酸的预期范围可能是通过进化选择产生的,从而在数学上导致分布相关。可能,这种选择可以改善二十烷类(二十烷类)之间的平衡。变异性:分布的宽度或范围,例如用范围和标准偏差来衡量。分布:表示某一变量在特定范围内的频率分布的图形。在本文中,我们也使用分布来表示刻度上的特定范围(a - b)。均匀分布:范围内的每个值都是等可能的。在这篇文章中,我们可以写“A、B和C的分布分别是A - B、C - d和e - f”。OA =油酸(18:1 c9);LA =亚油酸(18:2 n6);α -亚麻酸(18:3 n3);AA =花生四烯酸(20:4 n6);EPA =二十碳五烯酸(20:5 n3);DPA =二十二碳五烯酸(22:5 n3);DHA =二十二糖六烯酸(22:6 n3);DGLA=二homo γ亚麻酸(20:3 n6);EDA = Eicosa二烯酸(20:2 n6);ETA =三烯酸(20:3 n3)。
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Studies to Explain Further, Why Percentages of Eicosanoid Precursor Fatty Acids Associate Positively in Chicken Muscle
Background: Polyunsaturated fatty acids with 20 or 22 carbon atoms are precursors of eicosanoids and docosanoids, which are important regulatory molecules in cell physiology. In breast muscle of chickens, we recently reported that percentages of these precursors were positively associated. Subsequently, we observed that the concentration ranges of the fatty acids seemed to cause the positive associations, e.g. between %EPA (eicosapentaenoic acid, 20:5: n3) and %AA (arachidonic acid, 20:4 n6). Aim: To explain further correlations between relative amounts of eicosanoid and docosanoid precursors. Methods: Typically, the precursors had low numbers and low variability, as compared with the predominant fatty acids, such as oleic acid (18:1 c9). We first present considerations concerning associations in general between relative amounts of three positive scale variables, two of which (A, B) having narrow ranges relative to the third one (C). Next, we show results of computer experiments to test the reasoning. Results and Discussions: We made S = A + B + C, i.e. %A + %B + %C = 100. %A correlated positively with %B, whereas %A (%B) related negatively to %C. The particular ranges of A, B, and C seemed to explain these associations. We found that slope of %A (abscissa) vs. %B approached B/A. Furthermore, slope of %A (abscissa) vs. %C approached –(1 +B/A), and that of %B (abscissa) vs. %C was near –(1+ A/B). We also show equations of regression lines concerning associations between A (B, C) percentages of S, when ranges of A and B are narrow relative to C. Finally, we compare slope values obtained by the formulas, and by linear regression. Conclusions: We suggest that Intended Ranges of eicosanoid precursor fatty acids might have arisen through evolutionary selection, thereby causing Distribution Dependent Correlations, mathematically. Possibly, this selection could improve the balance between eicosanoids (docosanoids). Definitions and Abbreviations: Variability: the width or spread of a distribution, measured e.g. by the range and standard deviation. Distribution: graph showing the frequency distribution of a variable within a particular range. In this article, we also use distribution when referring to a particular range, a – b, on the scale. Uniform distribution: every value within the range is equally likely. In this article, we may write “Distributions of A, B, and C were a - b, c - d, and e - f, respectively”. OA = Oleic Acid (18:1 c9); LA = Linoleic Acid (18:2 n6); ALA = Alpha Linolenic Acid (18:3 n3); AA = Arachidonic Acid (20:4 n6); EPA = EicosaPentaenoic Acid (20:5 n3); DPA = DocosaPentaenoic Acid (22:5 n3); DHA = Docosa Hexaenoic Acid (22:6 n3); DGLA= Dihomo Gamma Linolenic Acid (20:3 n6); EDA = Eicosa Dienoic Acid (20:2 n6); ETA = Eicosa Trienoic acid (20:3 n3).
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