Høstmark Arne Torbjørn
Faculty of Medicine, Institute of Health and Society, University of Oslo, P.O. Box 1130 Blindern, 0318 Oslo, Norway.
Foods. 2021 May 6;10(5):1012. doi: 10.3390/foods10051012.
In chicken muscle, we previously showed that ranges of oleic acid (OA), arachidonic acid (AA), and eicosapentaenoic acid (EPA) might explain why %OA was inversely related to %AA, and that %EPA correlated positively with %AA. We here try to clarify further how ranges of the fatty acids could make strong associations between their relative amounts, utilizing published data from chicken muscle and human sera. We generated random number variables (OA, AA, EPA) in lieu of the true variables, and we studied effects of altering their ranges upon scatterplots of %OA vs. %AA (%EPA), and %AA vs. %EPA. To explain the results, we first applied the equation OA + AA + EPA = S, i.e., %OA + %AA + %EPA = 100. Next, we considered how the OA (AA, EPA) fractions of S related to S. Increasing the OA range towards higher values improved the positive association between %AA and %EPA. Thus, increased intake of OA could improve the positive correlations between percentages of eicosanoid precursors, raising the question of whether of some fatty acids represent a case of evolutionary selection to, e.g., achieve balance between eicosanoids.
在鸡胸肉中,我们之前曾表明,油酸(OA)、花生四烯酸(AA)和二十碳五烯酸(EPA)的含量范围或许可以解释为何OA的百分比与AA的百分比呈负相关,以及EPA的百分比与AA的百分比呈正相关。在此,我们利用鸡胸肉和人体血清的已发表数据,进一步尝试阐明脂肪酸的含量范围如何在其相对含量之间建立紧密关联。我们生成随机数变量(OA、AA、EPA)来替代真实变量,并研究改变它们的含量范围对OA百分比与AA百分比(EPA百分比)散点图以及AA百分比与EPA百分比散点图的影响。为了解释结果,我们首先应用公式OA + AA + EPA = S,即%OA + %AA + %EPA = 100。接下来,我们思考S中的OA(AA、EPA)部分与S是如何相关的。将OA含量范围向更高值增加会改善AA百分比与EPA百分比之间的正相关。因此,增加OA的摄入量可能会改善类二十烷酸前体百分比之间的正相关性,这就引发了一个问题,即某些脂肪酸的含量范围是否代表了一种进化选择的情况,例如,以实现类二十烷酸之间的平衡。