Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada M5S 3E2.
Metabolon Inc., West Sacramento, CA 95835.
J Lipid Res. 2017 Nov;58(11):2171-2179. doi: 10.1194/jlr.P076836. Epub 2017 Sep 19.
Recent evidence has documented distinct effects of individual saturated FAs (SFAs) on cardiometabolic outcomes, with potential protective effects from odd- and very long-chain SFAs (VLSFAs). Cross-sectional and prospective associations of individual serum SFAs (12:0, 14:0, 15:0, 16:0, 18:0, 20:0, 22:0, and total SFA) with proinflammatory biomarkers and adiponectin were investigated in 555 adults from the IRAS. Principal component analysis (PCA) of proinflammatory markers yielded three clusters: principal component (PC) 1: fibrinogen, white cell count, C-reactive protein; PC 2: plasminogen activator inhibitor-1 (PAI-1), TNF-α, IL-18; PC 3: IL-6 and IL-8. Cross-sectional analyses on proinflammatory PCs and adiponectin, and prospective analyses on 5 year PAI-1 and fibrinogen concentrations were conducted with multiple regression. Total SFA and 16:0 were positively associated with PC 1 and PC 2, and negatively associated with adiponectin. The 14:0 was positively associated with PC 1 and negatively associated with adiponectin. In contrast, 15:0, 20:0, and 22:0 were negatively associated with PC 2, and 20:0 and 22:0 were positively associated with adiponectin. The 18:0 was negatively associated with PC 3. Prospectively, 15:0, 18:0, 20:0, and 22:0 were negatively associated with 5 year PAI-1 concentrations. The results demonstrate that individual SFAs have distinct roles in subclinical inflammation, highlighting the unique metabolic impacts of individual SFAs.
最近的证据表明,不同的饱和脂肪酸(SFAs)对心血管代谢结果有明显的影响,奇数和极长链 SFAs(VLSFAs)可能具有保护作用。在 IRAS 中,对 555 名成年人的个体血清 SFAs(12:0、14:0、15:0、16:0、18:0、20:0、22:0 和总 SFA)与促炎生物标志物和脂联素的横断面和前瞻性关联进行了研究。对促炎标志物进行主成分分析(PCA)得到了三个聚类:主成分(PC)1:纤维蛋白原、白细胞计数、C 反应蛋白;PC 2:纤溶酶原激活物抑制剂-1(PAI-1)、TNF-α、IL-18;PC 3:IL-6 和 IL-8。对促炎 PC 和脂联素进行横断面分析,对 5 年 PAI-1 和纤维蛋白原浓度进行前瞻性分析,采用多元回归。总 SFA 和 16:0 与 PC 1 和 PC 2 呈正相关,与脂联素呈负相关。14:0 与 PC 1 呈正相关,与脂联素呈负相关。相反,15:0、20:0 和 22:0 与 PC 2 呈负相关,20:0 和 22:0 与脂联素呈正相关。18:0 与 PC 3 呈负相关。前瞻性地,15:0、18:0、20:0 和 22:0 与 5 年 PAI-1 浓度呈负相关。结果表明,个体 SFAs 在亚临床炎症中具有不同的作用,突出了个体 SFAs 的独特代谢影响。