scholarly journals Metabolic Syndrome and Serum Liver Enzymes in the General Chinese Population

Author(s):  
Shuang Chen ◽  
Xiaofan Guo ◽  
Shasha Yu ◽  
Ying Zhou ◽  
Zhao Li ◽  
...  
PLoS ONE ◽  
2017 ◽  
Vol 12 (10) ◽  
pp. e0186863 ◽  
Author(s):  
Mengjia Yue ◽  
Hongjian Liu ◽  
Minfu He ◽  
Fangyuan Wu ◽  
Xuanxuan Li ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e031443
Author(s):  
Jianwei Xu ◽  
Jixiang Ma ◽  
Xiaorong Chen ◽  
Liuxia Yan ◽  
Xiaoning Cai ◽  
...  

ObjectiveMicroalbuminuria (MAU) has been described as a risk factor for metabolic syndrome (MetS). However, the association between MetS components with MAU and 24-hour urinary albumin excretion (UAE) has not been clearly explained in the general Chinese population. We aimed to analyse the associations between MAU and high–normal 24-hour UAE with MetS and its components.DesignCross-sectional observational study.SettingFour selected counties/districts in China’s Shandong and Jiangsu Provinces.ParticipantsA total of 2261 participants aged 18–69 years were included in this study. Participants with missing physical examination data or incomplete urine collection were not included in the analysis.ResultsThe prevalence of MAU was 9%, and the mean 24-hour UAE was 18 mg/d. The prevalence of MAU was significantly higher for the MetS, high blood pressure (BP), high triglyceride (TG) levels, low high-density lipoprotein cholesterol (HDL-C) and hyperglycaemia groups but not for the central obesity group. Both MAU and mean 24-hour UAE were significantly increased in association with a number of MetS components. The adjusted prevalence OR (POR) for MetS with MAU was 2.95 (95% CI 2.15 to 4.04) compared with those without MAU. MAU was significantly associated with three components of MetS: high BP (POR=1.86, 95% CI 1.31 to 2.64), high TG levels (POR=1.80, 95% CI 1.31 to 2.46) and hyperglycaemia (POR=1.84, 95% CI 1.34 to 2.53). No significant association between MAU and central obesity or low HDL-C was found. The presence of MetS gradually increased according to the normal-range 24-hour UAE quartiles: POR=1.00, POR=1.22, POR=1.14 and POR=2.02, respectively. Hyperglycaemia also increased significantly according to the normal-range 24-hour UAE quartiles.ConclusionsMAU and elevated 24-hour UAE within the normal range were closely associated with MetS in the Chinese population, which may provide a basis for the development of early interventions to decrease the effects of MetS.


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.


2007 ◽  
Vol 149 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Yu-Fen Yang ◽  
Ya-Hui Wang ◽  
Jung-Chin Chen ◽  
Hock-Liew Eng ◽  
Tsun-Mei Lin

2016 ◽  
Vol 223 ◽  
pp. 708-710 ◽  
Author(s):  
Xiaofan Guo ◽  
Zhao Li ◽  
Liang Guo ◽  
Shasha Yu ◽  
Tan Li ◽  
...  

2016 ◽  
Vol 94 (4) ◽  
pp. 359-362 ◽  
Author(s):  
Fatma H. Rizk ◽  
Samah A. Elshweikh ◽  
Amira Y. Abd El-Naby

Irisin is a new myokine that is suspected to influence metabolic syndrome (MetS). However, there is a great controversy with respect to its level in cases of MetS and its correlation with different metabolic parameters. The present study assesses irisin levels in MetS patients and studies its relationship to metabolic and liver functions to evaluate the possible role of the liver in regulation of this level. Sixty subjects were included in this experiment, who were divided into 3 groups: group I (normal control), group II (MetS patients with normal liver enzymes), and group III (MetS with elevated liver enzymes and fatty liver disease). Serum irisin levels showed significant increases in groups II and III compared with group I, and significant increases in group III compared with group II. Also, irisin levels were positively correlated with body mass index, serum triglycerides, homeostatic model assessment of insulin resistance index (HOMA-IR), and liver enzymes. We concluded that serum irisin levels increased in patients with MetS, especially those with elevated liver enzymes, and had a positive correlation with parameters of lipid metabolism and glucose homeostasis with the possibility of hepatic clearance to irisin.


2007 ◽  
Vol 37 (10) ◽  
pp. 783-790 ◽  
Author(s):  
C.-C. Lin ◽  
C.-S. Liu ◽  
T.-C. Li ◽  
C.-C. Chen ◽  
C.-I. Li ◽  
...  

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