Sun Mengwen, Huang Yuanyuan, Luo Na, Qiu Jinkai, Lin Yuxuan, Huang Yan, Zheng Xiaofeng, Qiu Weihong, Du Shanshan, Ye Weimin, Chen Heng-Gui
Department of Preventive Medicine, The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350122, China.
Department of Public Health, Fujian Normal University Hospital, Fujian Normal University, Fuzhou 350007, China.
Nutrients. 2025 Sep 3;17(17):2859. doi: 10.3390/nu17172859.
Hypertension remains a leading cause of cardiovascular morbidity and mortality globally, and insulin resistance (IR) and systemic inflammation are implicated in the pathogenesis of hypertension. Limited evidence exists on the predictive role of the triglyceride-glucose (TyG) index and its related indices (TyG-WHtR and TyG-WC) for hypertension. This study aimed to investigate these associations across multiple Chinese cohorts. Data from 31,224 participants (Fuqing, CHNS, CHARLS) were analyzed. TyG indices were calculated using fasting triglycerides, glucose, and anthropometrics. Hypertension was defined as SBP/DBP ≥ 140/90 mmHg, or physician diagnosis, or antihypertensive treatment. Logistic/Cox regression models were used to examine associations, adjusting for demographics, lifestyle, and metabolic factors. Mediation analysis quantified the role of neutrophil-to-lymphocyte ratio (NLR) in mediating the TyG-hypertension relationship. Elevated TyG index and its obesity-adjusted variants consistently predicted incident hypertension across cohorts (all < 0.001). Each 1-unit TyG increase was associated with 9-36% higher odds of hypertension in Fuqing (OR = 1.09-1.36). NLR mediated 20.4-29.4% of these associations ( < 0.001). Subgroup analyses revealed effect modifications by age, sex, and residence. Sensitivity analyses confirmed robustness when redefining hypertension thresholds (ACC/AHA criteria). TyG index and its related indices are robust predictors of (new-onset) hypertension, with NLR statistically accounting for approximately 25% of these associations in the mediation model. These findings underscore the interplay between metabolic dysregulation, inflammation, and hypertension and advocate for integrated biomarker strategies in risk stratification and prevention, while external validation in multi-ethnic populations is warranted.
高血压仍然是全球心血管疾病发病和死亡的主要原因,胰岛素抵抗(IR)和全身炎症与高血压的发病机制有关。关于甘油三酯-葡萄糖(TyG)指数及其相关指数(TyG-WHtR和TyG-WC)对高血压的预测作用,现有证据有限。本研究旨在调查多个中国队列中的这些关联。分析了来自31224名参与者(福清、中国健康与营养调查、中国健康长寿调查)的数据。TyG指数通过空腹甘油三酯、血糖和人体测量学数据计算得出。高血压定义为收缩压/舒张压≥140/90 mmHg,或经医生诊断,或正在接受降压治疗。采用逻辑/ Cox回归模型检验关联,并对人口统计学、生活方式和代谢因素进行了调整。中介分析量化了中性粒细胞与淋巴细胞比值(NLR)在介导TyG与高血压关系中的作用。TyG指数升高及其肥胖调整后的变体在各队列中均一致预测了新发高血压(均P<0.001)。在福清队列中,TyG每增加1个单位,高血压发生几率就会高出9%-36%(OR = 1.09-1.36)。NLR介导了这些关联的20.4%-29.4%(P<0.001)。亚组分析显示年龄、性别和居住地存在效应修饰。敏感性分析证实,重新定义高血压阈值(美国心脏病学会/美国心脏协会标准)时结果具有稳健性。TyG指数及其相关指数是(新发)高血压的有力预测指标,在中介模型中,NLR在统计学上约占这些关联的25%。这些发现强调了代谢失调、炎症和高血压之间的相互作用,并提倡在风险分层和预防中采用综合生物标志物策略,同时有必要在多民族人群中进行外部验证。