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促炎和高胰岛素血症饮食模式与绝经后女性慢性炎症、葡萄糖-胰岛素失调和血脂异常预测生物标志物的特定谱相关。

Proinflammatory and Hyperinsulinemic Dietary Patterns Are Associated With Specific Profiles of Biomarkers Predictive of Chronic Inflammation, Glucose-Insulin Dysregulation, and Dyslipidemia in Postmenopausal Women.

作者信息

Shi Ni, Aroke Desmond, Jin Qi, Lee Dong Hoon, Hussan Hisham, Zhang Xuehong, Manson JoAnn E, LeBlanc Erin S, Barac Ana, Arcan Chrisa, Clinton Steven K, Giovannucci Edward L, Tabung Fred K

机构信息

Comprehensive Cancer Center, The Ohio State University, Columbus, OH, United States.

Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States.

出版信息

Front Nutr. 2021 Sep 20;8:690428. doi: 10.3389/fnut.2021.690428. eCollection 2021.

Abstract

Dietary patterns promoting hyperinsulinemia and chronic inflammation, including the empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP), have been shown to strongly influence risk of weight gain, type 2 diabetes, cardiovascular disease, and cancer. EDIH was developed using plasma C-peptide, whereas EDIP was based on plasma C-reactive protein (CRP), interleukin-6, and tumor necrosis factor alpha receptor 2 (TNF-αR2). We investigated whether these dietary patterns were associated with a broader range of relevant biomarkers not previously tested. In this cross-sectional study, we included 35,360 women aged 50-79 years from the Women's Health Initiative with baseline (1993-1998) fasting blood samples. We calculated EDIH and EDIP scores from baseline food frequency questionnaire data and tested their associations with 40 circulating biomarkers of insulin response/insulin-like growth factor (IGF) system, chronic systemic inflammation, endothelial dysfunction, lipids, and lipid particle size. Multivariable-adjusted linear regression was used to estimate the percent difference in biomarker concentrations per 1 standard deviation increment in dietary index. FDR-adjusted < 0.05 was considered statistically significant. Empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP) were significantly associated with altered concentrations of 25 of the 40 biomarkers examined. For EDIH, the percent change in biomarker concentration in the insulin-related biomarkers ranged from +1.3% (glucose) to +8% (homeostatic model assessment for insulin resistance) and -9.7% for IGF-binding protein-1. EDIH impacted inflammation and endothelial dysfunction biomarkers from +1.1% (TNF-αR2) to +7.8% (CRP) and reduced adiponectin by 2.4%; and for lipid biomarkers: +0.3% (total cholesterol) to +3% (triglycerides/total cholesterol ratio) while reducing high-density lipoprotein cholesterol by 2.4%. EDIP showed a similar trend of associations with most biomarkers, although the magnitude of association was slightly weaker for the insulin-related biomarkers and stronger for lipids and lipid particle size. Dietary patterns with high potential to contribute to insulin hypersecretion and to chronic systemic inflammation, based on higher EDIH and EDIP scores, were associated with an unfavorable profile of circulating biomarkers of glucose-insulin dysregulation, chronic systemic inflammation, endothelial dysfunction and dyslipidemia. The broad range of biomarkers further validates EDIH and EDIP as mechanisms-based dietary patterns for use in clinical and population-based studies of metabolic and inflammatory diseases.

摘要

促进高胰岛素血症和慢性炎症的饮食模式,包括高胰岛素血症经验性饮食指数(EDIH)和经验性饮食炎症模式(EDIP),已被证明对体重增加、2型糖尿病、心血管疾病和癌症的风险有强烈影响。EDIH是使用血浆C肽制定的,而EDIP则基于血浆C反应蛋白(CRP)、白细胞介素-6和肿瘤坏死因子α受体2(TNF-αR2)。我们调查了这些饮食模式是否与更广泛的此前未测试的相关生物标志物有关。在这项横断面研究中,我们纳入了来自女性健康倡议的35360名50 - 79岁的女性,她们有基线(1993 - 1998年)空腹血样。我们根据基线食物频率问卷数据计算EDIH和EDIP得分,并测试它们与胰岛素反应/胰岛素样生长因子(IGF)系统、慢性全身炎症、内皮功能障碍、脂质和脂质颗粒大小的40种循环生物标志物的关联。使用多变量调整线性回归来估计饮食指数每增加1个标准差时生物标志物浓度的百分比差异。经FDR调整后P<0.05被认为具有统计学意义。高胰岛素血症经验性饮食指数(EDIH)和经验性饮食炎症模式(EDIP)与所检测的40种生物标志物中的25种生物标志物浓度改变显著相关。对于EDIH,胰岛素相关生物标志物中生物标志物浓度的百分比变化范围从+1.3%(葡萄糖)到+8%(胰岛素抵抗稳态模型评估),而IGF结合蛋白-1为-9.7%。EDIH对炎症和内皮功能障碍生物标志物的影响从+1.1%(TNF-αR2)到+7.8%(CRP),脂联素降低2.4%;对于脂质生物标志物:+0.3%(总胆固醇)到+3%(甘油三酯/总胆固醇比值),同时高密度脂蛋白胆固醇降低2.4%。EDIP与大多数生物标志物的关联呈现出类似趋势,尽管与胰岛素相关生物标志物的关联程度略弱,而与脂质和脂质颗粒大小的关联更强。基于更高的EDIH和EDIP得分,具有导致胰岛素分泌过多和慢性全身炎症高潜力的饮食模式,与葡萄糖 - 胰岛素失调、慢性全身炎症、内皮功能障碍和血脂异常的循环生物标志物不良特征相关。广泛的生物标志物进一步验证了EDIH和EDIP作为基于机制的饮食模式,可用于代谢和炎症性疾病的临床和人群研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47b5/8488136/b024e684998b/fnut-08-690428-g0001.jpg

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