scholarly journals Plasma Sphingolipid Profile in Association with Incident Metabolic Syndrome in a Chinese Population-Based Cohort Study

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2263
Author(s):  
Huan Yun ◽  
Qi-Bin Qi ◽  
Geng Zong ◽  
Qing-Qing Wu ◽  
Zhen-Hua Niu ◽  
...  

Although bioactive sphingolipids have been shown to regulate cardiometabolic homeostasis and inflammatory signaling pathways in rodents, population-based longitudinal studies of relationships between sphingolipids and onset of metabolic syndrome (MetS) are sparse. We aimed to determine associations of circulating sphingolipids with inflammatory markers, adipokines, and incidence of MetS. Among 1242 Chinese people aged 50–70 years who completed the 6-year resurvey, 76 baseline plasma sphingolipids were quantified by high-throughput liquid chromatography-tandem mass spectrometry. There were 431 incident MetS cases at 6-year revisit. After multivariable adjustment including lifestyle characteristics and BMI, 21 sphingolipids mainly from ceramide and hydroxysphingomyelin subclasses were significantly associated with incident MetS. Meanwhile, the baseline ceramide score was positively associated (RRQ4 versus Q1 = 1.31; 95% CI 1.05, 1.63; ptrend = 0.010) and the hydroxysphingomyelin score was inversely associated (RRQ4 versus Q1 = 0.60; 95% CI 0.45, 0.79; ptrend < 0.001) with incident MetS. When further controlling for clinical lipids, both associations were attenuated but remained significant. Comparing extreme quartiles, RRs (95% CIs) of MetS risk were 1.34 (95% CI 1.06, 1.70; ptrend = 0.010) for ceramide score and 0.71 (95% CI 0.51, 0.97; ptrend = 0.018) for hydroxysphingomyelin score, respectively. Furthermore, a stronger association between ceramide score and incidence of MetS was evidenced in those having higher inflammation levels (RRQ4 versus Q1 1.57; 95% CI 1.16, 2.12; pinteraction = 0.004). Our data suggested that elevated ceramide concentrations were associated with a higher MetS risk, whereas raised hydroxysphingomyelin levels were associated with a lower MetS risk beyond traditional clinical lipids.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hai-Yan Lin ◽  
Xiu-Juan Zhang ◽  
Yu-Mei Liu ◽  
Ling-Yun Geng ◽  
Li-Ying Guan ◽  
...  

AbstractTriglyceride glucose (TyG) index and inflammatory markers are reported to have a positive association with metabolic syndrome (MetS). However, no previous study has assessed the value of TyG index and inflammatory markers as predictors of metabolic syndrome in the same study. This study looks at the comparison of the triglyceride index and blood leukocyte indices as predictors of metabolic syndrome in the Chinese population. The study cohort involved 1542 Chinese population without metabolic syndrome. The subjects underwent comprehensive routine health examination in 2011 and returned for a follow-up examination in 2016. Metabolic syndrome was defined according to Chinese Diabetes Society criteria, using body mass index for the replacement of waist circumference. TyG index, total leukocytes, neutrophils, lymphocytes, and neutrophil-to-lymphocyte ratio (NLR) were measured. Adjust d logistic models were used to assess the relationship between TyG index, blood leukocyte indices, and incident MetS. Receiver operating characteristic (ROC) curves were performed to determine the predictive value of TyG index and blood leukocyte indices for MetS. Results from multivariate logistic regression analysis showed that, in the adjusted model, the subjects with the highest quartile of TyG index and neutrophils had a 3.894- and 1.663-fold increased incidence of MetS (P < 0.0001 and P = 0.027), respectively. No significant association was observed between total leukocytes, lymphocytes, NLR with incident MetS. ROC analysis showed that the AUC of TyG index and neutrophils were 0.674 and 0.568 for incident MetS, respectively. TyG index rather than blood leukocyte indices may have the strongest predictive value in MetS development over a 5-year period.


Endocrine ◽  
2012 ◽  
Vol 43 (2) ◽  
pp. 351-359 ◽  
Author(s):  
Tsan Yang ◽  
Chi-Hong Chu ◽  
Po-Chien Hsieh ◽  
Chih-Hsung Hsu ◽  
Yu-Ching Chou ◽  
...  

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