Impact of clinical characteristics of individual metabolic syndrome on the severity of insulin resistance in Chinese adults

Relationship of blood pressure and cardiovascular disease risk factors in normotensive middle-aged men

We conducted this study to investigate whether subjects with high-normal systolic blood pressure (SBP) have an increased risk of cardiovascular disease (CVD) and/or diabetes compared to subjects with low-normal SBP, using metabolic syndrome (MetS) as a risk factor for future CVD/diabetes.The study included 6133 apparently healthy Taiwanese men aged 40-65 years. All subjects were normotensive, and none took medication for any abnormal MetS component. To avoid the effect of age on blood pressure, we stratified patients first by age then by SBP (that is, low, middle, and high SBP). We pooled all the low, middle, and high SBP groups from the different age strata to create 3 larger groups (Group 1, Group 2, and Group 3, respectively). The MetS components in subjects with the lowest SBP (Group 1) were compared with those in the other 2 groups. All of the MetS components, except for high-density lipoprotein cholesterol (HDL-C), were significantly lower in Group 1. Thus, it was not surprising that Group 2 and Group 3 had significantly higher odds ratios for abnormal body mass index, fasting plasma glucose, low-density lipoprotein-cholesterol (LDL-C), and triglycerides than Group 1 (but not for HDL-C). Specifically, Group 3 had a 1.7-fold higher odds ratio (p < 0.001) for having MetS than Group 1. Age, body mass index, fasting plasma glucose, LDL-C, and log triglycerides correlated significantly with SBP. In multivariate linear regression analysis, we found that only body mass index, fasting plasma glucose, and log triglycerides remained significantly related to SBP. Among them, body mass index had the highest β value.In conclusion, the level of SBP was highly correlated with body mass index, fasting plasma glucose, and triglycerides in subjects with normotension. Although there is not a cause-and-effect relationship, the risk of CVD and diabetes was significantly associated with an elevation of SBP, even when the SBP remained within the normal range. Further studies are needed to determine whether normotensive subjects would benefit from medical management.

Metabolic syndrome and renal injury

Both metabolic syndrome (MetS) and chronic kidney disease (CKD) are major global health issues. Current clinical markers used to reflect renal injury include albuminuria and estimated glomerular filtration rate (eGFR). Given the same eGFR level, urine albumin might be a better risk marker to predict progression of CKD and future development of cardiovascular diseases (CVDs). Serum Cystatin C is emerging as a new biomarker for early detection of renal injury associated with MetS and cardiovascular risk. In addition to each component, MetS per se influences the incidence and prognosis of renal injury and the odds ratios increased with the increase in the number of metabolic abnormalities. Hyperinsulinemia, activation of rennin-angiotensin-aldosterone system, increase of oxidative stress, and inflammatory cytokines are proposed to be the plausible biological link between MetS and CKD. Weight control, stick control of blood pressure, glucose, and lipids disorders may lead to lessening renal injury and even the subsequent CVD.

Ketonuria after fasting may be related to the metabolic superiority

Obese individuals are less able to oxidize fat than non-obese individuals. Caloric reduction or fasting can detect ketonuria. We investigated the differences of metabolic parameters in the presence of ketonuria after a minimum 8 hr fast in a cross-sectional analysis of 16,523 Koreans (6,512 women and 10,011 men). The relationship between the presence of ketonuria of all subjects and prevalence of obesity, central obesity, metabolic syndrome, and obesity-related metabolic parameters were assessed. The ketonuria group had lower prevalence of obesity, central obesity, and metabolic syndrome than the non-ketonuria group. In addition, all metabolic parameters (including body weight, waist circumference, blood glucose, high-density lipoprotein, triglyceride, blood pressure, and insulin) were favorable in the ketonuria group than in the non-ketonuria group, even after adjustment for age, tobacco use, and alcohol consumption. The odds ratios of having obesity (odds ratio [OR]=1.427 in women, OR=1.582 in men, P<0.05), central obesity (OR=1.675 in women, OR=1.889 in men, P<0.05), and metabolic syndrome (OR=3.505 in women, OR=1.356 in men, P<0.05) were increased in the non-ketonuria group compared to the ketonuria group. The presence of ketonuria after at least an 8 hr fast may be indicative of metabolic superiority.

Chinese metabolic syndrome risk score

BACKGROUND

The metabolic syndrome (MetS) was first proposed to predict the occurrence of cardiovascular disease and type 2 diabetes. However, it is difficult to identify subjects with MetS early. No previous studies designed to develop a predictive model for MetS in the Chinese population exists; this study was designed to fill that gap.

METHODS

A middle-aged Chinese cohort of 198 men and 154 women were followed for two years. The binary logistic regression and receiver operation characteristic (ROC) curve were used to develop a predictive model for the future development of MetS.

RESULTS

Over two years of follow up, 30 of the 352 subjects (8.52%) without MetS at baseline subsequently developed MetS. Triglycerides (TG) had the highest area under the curve (AUC), while diastolic blood pressure had the lowest. In order to increase the prediction power, MetS components were arranged in the ROC model according to their AUC. After adding waist circumference (WC) to TG (model 1), the AUC was significantly higher than for TG alone. Adding other components into the model did not increase the AUC significantly. A risk score cutoff (0.078) was selected for the best predictive power of model 1 (sensitivity of 76.7%, specificity of 63.4%, with AUC of 76.8%).

CONCLUSIONS

These results imply that WC and TG are related to the pathophysiologies of MetS, and model 1 could also be used clinically for screening subjects at high risks for MetS.