Abstract：
OBJECTIVE: Research into the relationship between an Energy-adjusted Diet-Inflammatory Index (E-DII) and a wider health-related biomarkers profile is limited. Much of the existing evidence centers on traditional metabolic biomarkers in populations with chronic diseases, with scarce data on healthy individuals. Thus, this study aims to investigate the association between an E-DII score and 30 biomarkers spanning metabolic health, endocrine, bone health, liver function, cardiovascular, and renal functions, in healthy individuals.
RESULTS: 66,978 healthy UK Biobank participants, the overall mean age was 55.3 (7.9) years were included in this cross-sectional study. E-DII scores, based on 18 food parameters, were categorised as anti-inflammatory (E-DII < -1), neutral (-1 to 1), and pro-inflammatory (>1). Regression analyses, adjusted for confounding factors, were conducted to investigate the association of 30 biomarkers with E-DII. Compared to those with an anti-inflammatory diet, individuals with a pro-inflammatory diet had increased levels of 16 biomarkers, including six cardiometabolic, five liver, and four renal markers. The concentration difference ranged from 0.27 SD for creatinine to 0.03 SD for total cholesterol. Conversely, those on a pro-inflammatory diet had decreased concentrations in six biomarkers, including two for endocrine and cardiometabolic. The association range varied from -0.04 for IGF-1 to -0.23 for SHBG.
CONCLUSIONS: This study highlighted that a pro-inflammatory diet was associated with an adverse profile of biomarkers linked to cardiometabolic health, endocrine, liver function, and renal health.
RESULTS: 66,978 healthy UK Biobank participants, the overall mean age was 55.3 (7.9) years were included in this cross-sectional study. E-DII scores, based on 18 food parameters, were categorised as anti-inflammatory (E-DII < -1), neutral (-1 to 1), and pro-inflammatory (>1). Regression analyses, adjusted for confounding factors, were conducted to investigate the association of 30 biomarkers with E-DII. Compared to those with an anti-inflammatory diet, individuals with a pro-inflammatory diet had increased levels of 16 biomarkers, including six cardiometabolic, five liver, and four renal markers. The concentration difference ranged from 0.27 SD for creatinine to 0.03 SD for total cholesterol. Conversely, those on a pro-inflammatory diet had decreased concentrations in six biomarkers, including two for endocrine and cardiometabolic. The association range varied from -0.04 for IGF-1 to -0.23 for SHBG.
CONCLUSIONS: This study highlighted that a pro-inflammatory diet was associated with an adverse profile of biomarkers linked to cardiometabolic health, endocrine, liver function, and renal health.
摘要：
目的：对能量调整饮食炎症指数（E-DII）与更广泛的健康相关生物标志物之间关系的研究有限。许多现有的证据集中在慢性疾病人群中的传统代谢生物标志物，缺乏健康个体的数据。因此，这项研究旨在调查E-DII评分与30种跨越代谢健康的生物标志物之间的关联，内分泌，骨骼健康,肝功能,心血管,和肾功能，在健康的个体中。
结果：66,978名健康的英国生物银行参与者，本横断面研究纳入的总体平均年龄为55.3(7.9)岁.E-DII分数,基于18个食物参数，被归类为抗炎（E-DII<-1），中性（-1到1），和促炎（>1）。回归分析，调整了混杂因素，进行了30种生物标志物与E-DII的关联研究。与那些抗炎饮食相比，具有促炎饮食的个体增加了16种生物标志物的水平，包括六种心脏代谢，五个肝脏，和四个肾脏标志物.浓度差异范围为肌酐的0.27SD至总胆固醇的0.03SD。相反，那些使用促炎饮食的人在六种生物标志物中的浓度降低，包括两个用于内分泌和心脏代谢。关联范围从IGF-1的-0.04到SHBG的-0.23不等。
结论：这项研究强调，促炎饮食与心脏代谢健康相关的生物标志物的不良特征有关，内分泌，肝功能,和肾脏健康。
结果：66,978名健康的英国生物银行参与者，本横断面研究纳入的总体平均年龄为55.3(7.9)岁.E-DII分数,基于18个食物参数，被归类为抗炎（E-DII<-1），中性（-1到1），和促炎（>1）。回归分析，调整了混杂因素，进行了30种生物标志物与E-DII的关联研究。与那些抗炎饮食相比，具有促炎饮食的个体增加了16种生物标志物的水平，包括六种心脏代谢，五个肝脏，和四个肾脏标志物.浓度差异范围为肌酐的0.27SD至总胆固醇的0.03SD。相反，那些使用促炎饮食的人在六种生物标志物中的浓度降低，包括两个用于内分泌和心脏代谢。关联范围从IGF-1的-0.04到SHBG的-0.23不等。
结论：这项研究强调，促炎饮食与心脏代谢健康相关的生物标志物的不良特征有关，内分泌，肝功能,和肾脏健康。
