Objective:To explore the association between glutamyl transpeptidase (GGT) trajectories and new-onset metabolic syndrome to provide insights for the prevention and treatment of metabolic syndrome.Methods:A total of 3 209 subjects who met the inclusion criteria were enrolled in the study cohort of physical examination population. The GGT levels before follow-up were classified by R LCTMtools program into 3 GGT trajectory groups: low-stable group, medium-stable group and high-stable group. Cox proportional hazards regression model was used to analyze the correlation between different GGT trajectories and new-onset metabolic syndrome.Results:At the end of follow-up in 2020, the cumulative incidence of metabolic syndrome was 7.0%, and the incidence of metabolic syndrome in the low-stable group, medium-stable group and high-stable group were 3.9%, 11.4%, and 15.0%, respectively, showing a growth trend ( P<0.001). After adjusting for multiple confounding factors by Cox proportional hazards regression model, the risk of metabolic syndrome in medium-stable group and high-stable group increased in the total population. The hazard ratios (95% CI)for the high stable group in males and the medium-stable group in females were 1.67(1.07-2.60) and 3.29(1.14-9.53), respectively, compared with their respective low-stable group. Conclusion:Elevated longitudinal trajectory of GGT is a risk factor for new-onset metabolic syndrome, the risk of metabolic syndrome in the total population increased with the increase of long-term GGT level. It is recommended to maintain the long-term level of GGT at about 28 U/L in males and 14 U/L in females, respectively, to achieve the goal of early prevention of metabolic syndrome.

Objective:To explore the potential correlation between cumulative pulse pressure (cumPP) level and metabolic syndrome (MetS), and to provide insights for MetS management.Methods:A total of 3 968 subjects who underwent health checkup were selected to form a research cohort, and the data were categorized into three groups based on the tertiles of cumPP levels. Cox proportional hazards regression model was employed to analyze the association between different cumPP levels and the incidence of new-onset MetS. Results:The risk of MetS increased with the increased tiers of the cumPP levels (2.5%, 4.3%, and 4.6%, Ptrend<0.001) during the median follow-up period of 2.16 years. Spearman rank correlation analysis showed that cumPP was positively correlated with waist circumference, systolic blood pressure, diastolic blood pressure and fasting plasma glucose (all P<0.05). The Cox proportional hazards regression adjusted model showed that the risk of MetS in Q2 and Q3 was higher than that in Q1 in the total population, and the same results were observed in males (all P<0.05), while there was no statistical significance in females. Model 3 of the total population adjusted for a variety of confounding factors displayed a higher risk of MetS in Q3 compared with that in Q1[1.654 (95% CI 1.272-2.151) ]. When stratified by sex, and the risk of MetS in Q3 was 1.665 times higher than that in Q1 (95% CI 1.245-2.227), while there was no statistically significant risk in female. According to the visual nomogram of independent risk factors screened by multivariate analysis based on Cox proportional hazards regression model, the incidence of MetS at 1 year, 2 years, and 3 years was 0.18%, 3.97% and 7.39%, respectively. In addition, the dose-response curve was plotted according to cumPP, suggesting that the risk of MetS gradually increased with the increase of cumPP in the total population. Subgroup analyses based on baseline systolic blood pressure levels showed that higher cumPP levels were associated with a higher risk of developing MetS, regardless of whether systolic blood pressure was abnormal. Conclusions:Elevated cumPP levels is significantly related to the incidence of new-onset MetS. Maintaining pulse pressure within an appropriate range over long term is crucial for the management of MetS.