Tejada Brandon, Joehanes Roby, Hwang Shih-Jen, Huan Tianxiao, Yao Chen, Ho Jennifer E, Levy Daniel
Framingham Heart Study, Framingham, MA, USA.
Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD, USA.
J Inflamm Res. 2022 Dec 29;15:6891-6903. doi: 10.2147/JIR.S382620. eCollection 2022.
Assessing an individual's systemic inflammatory state is vital to understand inflammation's role in cardiometabolic diseases and identify those at the greatest risk of disease. We generated global inflammation scores and investigated their associations with cardiometabolic risk factors and adverse outcomes.
Aggregate Inflammation Scores (AIS) and Principal Component Analysis (PCA) scores were generated for 7287 Framingham Heart Study participants using up to 26 inflammation-related proteins, with higher scores reflecting a pro-inflammatory milieu. Multivariable regression and proportional hazards analyses were conducted to investigate the associations of inflammation with cardiometabolic risk factors and outcomes. The primary outcomes for cross-sectional analyses included age, cigarette smoking, fasting lipid and glucose levels, blood pressure, body mass index (BMI), and hypertension, diabetes, and obesity. For prospective analyses, new-onset hypertension, diabetes, obesity, cardiovascular disease and all-cause mortality were investigated.
Higher inflammation scores were associated with smoking and older age, higher BMI, systolic blood pressure, lipids, and glucose levels, and with greater odds of hypertension and diabetes after adjusting for age, sex, cohort, and BMI (all p < 0.001). Higher baseline scores were associated with greater odds of new-onset hypertension after adjusting for traditional risk factors (OR [95% CI] per one standard deviation [1-SD] increase, AIS: 1.33 [1.21-1.47], PCA score: 1.26 [1.12-1.42], p < 0.001). The AIS also was associated with new-onset diabetes (1.32 [1.14-1.52], p < 0.001). Proportional hazards analyses revealed greater risk of new-onset cardiovascular disease events and all-cause mortality (HR [95% CI] per 1-SD, AIS: 1.25 [1.14-1.37] and 1.32 [1.23-1.42], PCA score: 1.22 [1.13-1.33] and 1.40 [1.31-1.49], p < 0.001).
Global inflammation scores encompassing an array of pro- and anti-inflammatory proteins and pathways may enhance risk assessment for cardiometabolic diseases. The AIS and PCA scores provide further opportunities to investigate the mechanisms of inflammation-related risk of disease.
评估个体的全身炎症状态对于理解炎症在心脏代谢疾病中的作用以及识别疾病风险最高的人群至关重要。我们生成了总体炎症评分,并研究了它们与心脏代谢风险因素和不良结局之间的关联。
使用多达26种炎症相关蛋白为7287名弗雷明汉心脏研究参与者生成了总体炎症评分(AIS)和主成分分析(PCA)评分,得分越高反映促炎环境越强。进行多变量回归和比例风险分析以研究炎症与心脏代谢风险因素及结局之间的关联。横断面分析的主要结局包括年龄、吸烟、空腹血脂和血糖水平、血压、体重指数(BMI)以及高血压、糖尿病和肥胖症。对于前瞻性分析,研究了新发高血压、糖尿病、肥胖症、心血管疾病和全因死亡率。
在调整年龄、性别、队列和BMI后,较高的炎症评分与吸烟、年龄较大、BMI较高、收缩压、血脂和血糖水平相关,且患高血压和糖尿病的几率更高(所有p<0.001)。在调整传统风险因素后,较高的基线评分与新发高血压的几率更高相关(每增加一个标准差[1-SD]的OR[95%CI],AIS:1.33[1.21-1.47],PCA评分:1.26[1.12-1.42],p<0.001)。AIS还与新发糖尿病相关(1.32[1.14-1.52],p<0.001)。比例风险分析显示新发心血管疾病事件和全因死亡率的风险更高(每1-SD的HR[95%CI],AIS:1.25[1.14-1.37]和1.32[1.23-1.42],PCA评分:1.22[1.13-1.33]和1.40[1.31-1.49],p<0.001)。
包含一系列促炎和抗炎蛋白及途径的总体炎症评分可能会增强对心脏代谢疾病的风险评估。AIS和PCA评分提供了进一步研究炎症相关疾病风险机制的机会。