Abnormal Metabolic Components Research Articles

The prevalence and clustering of metabolic syndrome risk components in Chinese population: a cross-sectional study.

The metabolic syndrome (MetS) is diagnosed upon the manifestation of ≥ 3 out of 5 specific components. The present study evaluated the epidemiological characteristics of the MetS components and their clustering condition among Chinese adults. 68383 participants aged 18-80 years from TIDE were scored on a six-point (0-5) MetS severity score (MSSS), which quantified their cumulative amount of MetS risk components. We evaluated the epidemiological characteristics of these components and their clustering conditions. Additionally, we examined the relation of age with the prevalence of different MSSSs or specific MetS components using restricted cubic splines. Among 68383 participants, 26113 men and 24582 women had abnormal MetS components. There were significant differences in most epidemiological characteristics between the 6 MSSS groups. The top three prevalence of abnormal metabolic components were high systolic blood pressure (SBP) (9.41%, n=6568), high waist circumference (WC) (8.13%, n=6120), and the cooccurrence of high SBP and high WC (6.33%, n=4622). Participants were more likely to have all five MetS components when HDL-C was low. Restricted cubic splines showed that when the MSSS ≥3, the MetS prevalence of male peaked and that of the female population increased most rapidly at 40-60 age group. The 40-60 age group can be regarded as the high-risk period of MetS, and elderly women have a higher risk of multiple metabolic disorders than men. The top three clustering of abnormal metabolic components were high SBP, high WC, and their combination. Multiple components aggregation was more likely to occur when HDL-C decreased.

Long-term exposure to PM2.5 and PM10 and chronic kidney disease: the Beijing Health Management Cohort, from 2013 to 2018.

Long-term exposure to ambient particulate pollutants (PM2.5 and PM10) may increase the risk of chronic kidney disease (CKD), but the results of previous research were limited and inconsistent. The purpose of this study was to assess the relationships of PM2.5 and PM10 with CKD. This study was a cohort study based on the physical examination data of 2082 Beijing residents from 2013 to 2018 in the Beijing Health Management Cohort (BHMC). A land-use regression model was used to estimate the individual exposure concentration of air pollution based on the address provided by each participant. CKD events were identified based on self-report or medical evaluation (estimated glomerular filtration rate, eGFR less than 60ml/min/1.73 m2). Finally, the associations of PM2.5 and PM10 with CKD were calculated using univariate and multivariate logistic regression models. During the research period, we collected potentially confounding information. After adjusting for confounders, each 10μg/m3 increase in PM2.5 and PM10 exposure was associated with an 84% (OR: 1.84; 95% CI: 1.45, 2.33) and 37% (OR: 1.37; 95% CI: 1.15, 1.63) increased risk of CKD. Adjusting for the four common gaseous air pollutants (CO, NO2, SO2, O3), the effect of PM2.5 and PM10 on CKD was significantly enhanced, but the effect of PM10 was no longer significant in the multi-pollutant model. The results of the stratified analysis showed that PM2.5 and PM10 were more significant in males, middle-aged and elderly people over 45years old, smokers, drinkers, BMI ≥ 24kg/m2, and abnormal metabolic components. In conclusion, long-term exposure to ambient PM2.5 and PM10 was associated with an increased risk of CKD.

Comparison of criteria for metabolically healthy overweight/obesity in Shanghai Changfeng study

Objective: To establish a more suitable and practicable criterion of metabolically healthy overweight/obesity (MHO/O) in Chinese, a comparison study on different criteria of MHO/O was conducted in subjects aged over 45-year-old in Shanghai Changfeng Community. Method: A total of 3 301 overweight/obese subjects over 45 years old (men 1 521, women 1 789) in Shanghai Changfeng Community was included in the study. According to the inclusion or exclusion of waist circumference (WC), homeostasis model assessment of insulin resistance (HOMA-IR) ≥2.5, and numbers of abnormal metabolic components, the MHO/O criteria were divided into 7 types: Adult Treatment Panel Ⅲ (ATP-Ⅲ) (with WC)<1 component, ATP-Ⅲ (with WC)<2 components, ATP-Ⅲ (with WC)<3 components, ATP-Ⅲ (without WC)<1 component, ATP-Ⅲ (without WC)<2 components, adjusted metabolic associated fatty liver disease (MAFLD) criteria<1 component, and adjusted MAFLD criteria<2 components. The prevalence of MHO/O and its relationship with the changes of body mass index (BMI), and the differences of the characteristics of MHO/O among the 7 types of metabolic health standards were compared. Result: The prevalence of MHO/O according to the ATP-Ⅲ (with WC)<1, ATP-Ⅲ (with WC)<2, ATP-Ⅲ (with WC)<3, ATP-Ⅲ (without WC)<1, ATP-Ⅲ (without WC)<2, adjusted MAFLD criteria<1, and adjusted MAFLD criteria<2 was 2.85%, 15.48%, 39.87%, 8.00%, 33.66%, 2.33%, 12.24%, respectively. The prevalence of MHO/O decreased as BMI increased. When BMI ≥ 28 kg/m2, the prevalence of MHO/O by ATP-Ⅲ (with WC)<1 and adjusted MAFLD criteria<1 dropped to 0. Conclusion: The adjusted MAFLD criterion without abnormal metabolic components is the most practicable definition of MHO/O.

Relationship between insulin resistance and thyroid cancer in Chinese euthyroid subjects without conditions affecting insulin resistance

BackgroundsIn recent years, many studies have shown that insulin resistance is related to the occurrence of thyroid cancer, but there are few reports on whether the two are related under the premise that thyroid function is normal and the metabolic components related to insulin resistance are excluded. This study aims to analyze the insulin resistance of patients with differentiated thyroid cancer after excluding the population with abnormal metabolic components, and to study the risk factors of thyroid cancer in this population.Methods61 subjects diagnosed with differentiated thyroid carcinoma (DTC) formed the DTC group and 262 subjects with benign nodules formed the control group. Body mass index (BMI, kg/m2), waist circumference (WC), lipid profiles, and free T3 (FT3), free T4 (FT4), thyroid-stimulating hormone (TSH), thyroid peroxidase antibody (TPOAb), thyroid globulin antibody (TGAb), alanine transaminase (ALT), aspartate aminotransferase (AST), fasting plasma glucose (FPG), fasting serum insulin and homeostatic model assessment of insulin resistance (HOMA-IR) levels were measured.ResultsMean subjects age (P = 0.021), BMI (P = 0.049), WC (P = 0.01), serum insulin concentration (P = 0.006), and HOMA-IR level (P = 0.005) were significantly greater in the DTC group than in the control group. Multivariate binary logistic regression analysis identified advanced age (OR = 1.027 [1.003–1.051], P = 0.029) and an increased HOMA-IR level (OR = 1.572 [1.277–1.935], P < 0.001) as significant risk factors for thyroid cancer.ConclusionsIR may increase the risk of thyroid cancer development even in the absence of conditions affecting insulin resistance.

Association between MRI-based visceral adipose tissues and metabolic abnormality in a Chinese population: a cross-sectional study

BackgroundPrevious studies have indicated that the deposition of abdominal adipose tissue was associated with the abnormalities of cardiometabolic components. The aim of this study was to examine the relationship of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and metabolic status and the different effects between males and females.MethodsThe 1388 eligible subjects were recruited in a baseline survey of metabolic syndrome in China, from two communities in Hangzhou and Chengdu. Areas of abdominal VAT and SAT were measured by magnetic resonance imaging (MRI). Serum total triglycerides (TG), high-density lipoprotein cholesterol (HDL-C) were measured by an automated biochemical analyzer. Metabolic abnormality (MA) was defined more than one abnormal metabolic components, which was based on the definition of metabolic syndrome (IDF 2005). Multiple logistic regression was used to calculate the odds ratios (ORs) and 95% confidence intervals (95%CI). Predictive value was assessed by area under the curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI), respectively.ResultsTheir mean age was 53.8 years (SD: 7.1 years), the mean body mass index (BMI) was 23.7 kg/m2, and 44.8% of the subjects were male. Both male and female with MA had higher VAT levels compared to subjects with normal metabolism (MN), and male had higher SAT levels than female (P < 0.05). Higher VAT was significantly associated with MA with ORs in the fourth quartile (Q4) of 6.537 (95% CI = 3.394–12.591) for male and 3.364 (95% CI = 1.898–5.962) for female (P for trend < 0.05). In female, VAT could increase the risk of metabolic abnormalities, but SAT could increase the risk of MA in the second and fourth quartiles (Q2 and Q4) only at BMI > 24 kg/m2. In male, VAT improved the predictive value of MA compared to BMI and waist circumference (WC), the AUC was 0.727 (95% CI = 0.687–0.767), the NRI was 0.139 (95% CI = 0.070–0.208) and 0.106 (95% CI = 0.038–0.173), and the IDI was 0.074 (95% CI = 0.053–0.095) and 0.046 (95% CI = 0.026–0.066). Similar results were found in female.ConclusionsIn male, VAT and SAT could increase the risk of metabolic abnormalities both at BMI < 24 kg/m2 and at BMI ≥ 24 kg/m2. In female, VAT could increase the risk of metabolic abnormalities but SAT could increase the risk of MA in the second and fourth quartiles (Q2 and Q4) only at BMI > 24 kg/m2. Deposition of abdominal adipose tissue was associated with metabolic abnormalities. VAT improved the predictive power of MA.

Using noninvasive anthropometric indices to develop and validate a predictive model for metabolic syndrome in Chinese adults: a nationwide study.

PurposeMetabolic syndrome (Mets) is a pathological condition that includes many abnormal metabolic components and requires a simple detection method for rapid use in a large population. The aim of the study was to develop a diagnostic model for Mets in a Chinese population with noninvasive anthropometric and demographic predictors.Patients and methodsLeast absolute shrinkage and selection operator (LASSO) regression was used to screen predictors. A large sample from the China National Diabetes and Metabolic Disorders Survey (CNDMDS) was used to develop the model with logistic regression, and internal, internal-external and external validation were conducted to evaluate the model performance. A score calculator was developed to display the final model.ResultsWe evaluated the discrimination and calibration of the model by receiver operator characteristic (ROC) curves and calibration curve analysis. The area under the ROC curves (AUCs) and the Brier score of the original model were 0.88 and 0.122, respectively. The mean AUCs and the mean Brier score of 10-fold cross validation were 0.879 and 0.122, respectively. The mean AUCs and the mean Brier score of internal–external validation were 0.878 and 0.121, respectively. The AUCs and Brier score of external validation were 0.862 and 0.133, respectively.ConclusionsThe model developed in this study has good discrimination and calibration performance. Its stability was proved by internal validation, external validation and internal-external validation. Then, this model has been displayed by a calculator which can exhibit the specific predictive probability for easy use in Chinese population.

Female fragile X premutation carriers are at increased risk for metabolic syndrome from early adulthood

Background and aimsWomen with primary ovarian insufficiency exhibit an unfavorable cardiovascular risk profile. A common cause for primary ovarian insufficiency is fragile X premutation (FXPC), and data on the cardiovascular risk factors in women with FXPC are scarce. We aimed to assess the prevalences of abnormal metabolic components among FXPC. Methods and resultsClinical, anthropometric and laboratory data were collected from 71 women with FXPC and compared to 78 women referred for counseling in an in-vitro fertilization clinic (control group). The mean ± SD ages of the FXPC and control groups were 33.5 ± 5.6 and 36.2 ± 5.3 years, respectively (p = 0.003). In a logistic regression analysis, the FXPC group had increased risks for hyperglycemia, hypertriglyceridemia, central obesity and low high-density lipoprotein cholesterol, of 21.8-fold (95% CI 2.7–175, p = 0.004), 6.9-fold (95% CI 2.5–18.7, p < 0.0001), 3.1-fold (95% CI 1.4–6.9, p = 0.005) and 2.4-fold (95% CI 1.1–5.2, p = 0.03), compared to the control group. The FXPC group had 2.7-fold higher prevalence of two abnormal metabolic components; 19% met the full criteria of MetS, compared to 3% of the control group. Neither CGG repeats nor ovarian reserve markers were associated with metabolic risk. ConclusionsCarriers of fragile X premutation are at increased metabolic risk from early adulthood; waist circumference, glucose and lipid levels are particularly elevated. We recommend metabolic screening for all women with FMR1 premutation, to enable early interventions for prevention of long-term cardiovascular comorbidities.

Metabolic syndrome is associated with higher rate of gastroesophageal reflux disease: a meta-analysis.

Gastroesophageal reflux disease (GERD) seriously lowers the quality of life of patients, and its prevalence has gradually increased in recent years. Some studies have showed that metabolic syndrome (MetS) is related to GERD, but the results remain controversial. This study explored the relationship between MetS and GERD through systematic retrieval and analysis of published studies. Retrieve related research from PubMed, Web of Science, and Cochrane Library. Including cohort studies that compare the prevalence of GERD between patients with MetS and patients without, and case-control studies or cross-sectional studies that compare the prevalence of MetS between patients with GERD and patients without. In addition to analyzing the relationship between MetS and GERD, individual metabolic components are also analyzed. Use a random effects model (DerSimmonian and Laird) to merge the odd ratio (OR). Cochran's Q test and Higgins' I-squared statistic were performed to assess heterogeneity. Publication bias was assessed by Egger's test. A total of 103,048 patients from 15studies were included. The combined results suggest that MetS is a risk factor of GERD (OR: 1.66, 95%CI: 1.38-1.99). Among the individual metabolic components, abdominal obesity (OR: 1.42, 95%CI: 1.22-1.64), hypertriglyceridemia (OR: 1.50, 95%CI: 1.27-1.78), hyperglycemia (OR: 1.31, 95%CI: 1.07-1.61), and hypertension (OR: 1.19, 95%CI: 1.07-1.33) are risk factors of GERD. MetS is a risk factor of GERD, and among the abnormal metabolic components that establish the diagnosis of MetS, abdominal obesity, hypertriglyceridemia, hyperglycemia, and hypertension are risk factors of GERD.

Prevalence of metabolic syndrome among breast cancer survivors in East Coast of Peninsular Malaysia

BackgroundTo date, limited data are available on metabolic syndrome prevalence among breast cancer survivors in Malaysia. Therefore, this study was conducted to determine the prevalence of metabolic syndrome and abnormal metabolic syndrome components among breast cancer survivors in East Coast of Peninsular Malaysia.MethodsThis cross-sectional study included 95 breast cancer survivors (age 53.7 ± 7.6 years) who have completed main cancer treatments for ≥6 months. Cancer survivors were recruited from two main government hospitals in Kelantan and Terengganu using a purposive sampling method.ResultsAccording to the Harmonized criteria, the metabolic syndrome prevalence was 50.5%. Among those with metabolic syndrome, the most prevalent abnormal metabolic components were triglycerides (91.2%), fasting blood glucose (79.6%) and HDL-c level (78.4%). Except for total cholesterol and LDL-c, all other metabolic syndrome components were significantly different (p < 0.05) between those with and without metabolic syndrome. Significant differences between metabolic syndrome and non-metabolic syndrome groups were found for weight, BMI, waist circumference, body fat percentage and cancer stages (p < 0.05). However, no significant relationship was reported between sociodemographic, clinical parameters and metabolic syndrome among breast cancer survivors in this study.ConclusionsMetabolic syndrome was highly prevalent among breast cancer survivors. It is recommended for health care professionals to closely monitor and improve the triglycerides, blood glucose and HDL-c level of the breast cancer survivors under their care to control the detrimental effect of metabolic syndrome.

RANTES as a novel biomarker for atherogenic dyslipidemia and metabolic disturbances in patients with Type 2 Diabetes

RANTES (Regulated upon Activation, Normal T cell Expressed and presumably Secreted) is a chemokine engaged in the pathophysiology of diabetes type 2 (T2DM), related cardiovascular complications, dyslipidemia and hypertension that are major modifiable risk factors of T2DM. VEGF (Vascular endothelial growth factor) plays a role in diabetic vascular complications. Atherogenic dyslipidemia (AD) is a lipid aberration defined as the incidence of raised triglycerides (TG) and dimished high-density lipoprotein cholesterol (HDL-C) and associated with residual cardiovascular risk. However, the association between chemokine and type 2 diabetes (T2DM) and metabolic disturbances is still unclear, and few data are available. The aim of this study was to estimate serum RANTES, serum lipid composition, VEGF, and metabolic syndrome (MS) in patients with T2DM and elucidate their relationship in a sample of Egyptian premenopausal women. Serum level of RANTES, VEGF, lipids and body composition were assessed in 100 premenopausal women with T2DM (mean age 35 years old) and 100 healthy controls. Significant increase in serum RANTES level and VEGF was observed in T2DM compared to the control group. Positive correlations between elevated RANETS and increased values of VEGF, body mass index (BMI), waist circumference (WC), fat mass, LDL-C, TG, total cholesterol and presence of MS were observed in T2DM patients. Elevated RANTES concentration is associated with AD risk, abnormal metabolic components and VEGF levels. This study pinpoints the importance of RANTES as a novel biomarker for dyslipidemia and metabolic disturbance in T2DM patients.

Increased Stroke Risk in Metabolically Abnormal Normal Weight: a 10-Year Follow-up of 102,037 Participants in China.

The purpose of this study was to investigate the risks of stroke in subjects with metabolically abnormal normal weight (MANW) in China. We recruited 102,037 participants from the Zhejiang Metabolic Syndrome Cohort and the Kailuan cohort. The mean years of follow-up were 9.9years. General obesity was defined by body mass index (BMI) ≥ 28, overweight by BMI < 28 and ≥ 24, and normal weight by BMI < 24 and ≥ 18.5. Metabolic abnormality was defined as two or more abnormal components (elevated triglycerides, low high-density lipoprotein cholesterol, elevated systolic blood pressure or diastolic blood pressure, or use of antihypertensive drug therapy, elevated fasting plasma glucose, or antidiabetic treatment). A multiple Cox regression model was used to calculate hazard ratio (HR) and its 95% confidence interval (CI), adjusted by potential confounding factors. Overall HR of the risks in two cohorts was calculated by a meta-analysis. Compared with the subjects who were metabolically normal with normal weight (MNNW), the pooled HR for stroke in MANW subjects was 1.82 (95% CI, 1.59-2.07). The risks of stroke in MANW subjects were significantly lower than that in subjects with metabolically abnormal obesity (MAO), but higher than that in those with metabolically normal obesity (MNO) (P < 0.05). These associations remained in the subtypes of cerebral infarction and cerebral hemorrhage. In normal-weight subjects, the HR for stroke was significantly positively correlated with the number of abnormal metabolic components (Ptrend < 0.001). In brief, metabolic abnormality increased the risk of stroke irrespective of obesity status. MANW individuals showed a greater risk of stroke, and this risk was positively correlated with the number of abnormal metabolic components.

Association between the accumulation of metabolic syndrome abnormal components and arterial pulse wave velocity among adult individuals undergoing routine health examination

Objective: To explore the association between the accumulation of metabolic syndrome (MS) components and abnormal brachial ankle pulse wave velocity (baPWV), and to investigate the effect of accumulation of abnormal metabolic components on abnormal baPWV among adult individuals undergoing routine health examination. Methods: It's a cross-sectional study. Data from 9 201 stratified sampled subjects, aged between 25 to 75 years old, who took part in the annual health checkups in 11 cities of Zhejiang Province from January to December 2016, were analyzed. Blood pressure(BP), fasting plasma glucose(FPG), waist circumference(WC), triglyceride(TG), high-density lipoprotein cholesterols(HDL-C) were defined as MS components. The baPWV was measured by VP-1000 (BP-203RPE Ⅲ) and ΔbaPWV (measured baPWV-reference baPWV/reference baPWV) ×100 (%)> 10% was defined as abnormal. The relationship between MS components and ΔbaPWV was analyzed by linear regression, and impact of accumulation of MS components on ΔbaPWV was analyzed by logistic regression, and the ΔbaPWV in subjects with different levels of MS components were analyzed by analysis of variance. Results: (1) The linear regression analysis demonstrated a positive correlation between ΔbaPWV and MS components including systolic blood pressure, diastolic blood pressure, WC, FPG, TG, while ΔbaPWV was negatively correlated with HDL-C. The β values were 0.518, 0.616, 0.208, 2.778, 1.862, -1.339, respectively (all P<0.001), indicating a strong association between ΔbaPWV and systolic blood pressure, diastolic blood pressure, and FPG. (2) The logistic regression analysis showed that the proportion of abnormal ΔbaPWV was 2.595 times higher in MS individuals than in non-MS individuals (P<0.001). Abnormal ΔbaPWV increased in proportion with increase in numbers of the metabolic components (OR=1.913, 2.884, 3.833, 6.161, 11.176 in individuals with 1,2,3,4,5 metabolic components, respectively, all P<0.001). (3) The logistic analysis suggested that each component of MS could affect baPWV,and OR was 4.68, 2.45 for systolic blood pressure and/or diastolic blood pressure and FPG. All combinations of 2 components of MS also significantly affected baPWV,and OR value was the highest (5.104(95%CI 4.281-6.085), P<0.001) for FPG+BP. All combinations of 3 components of MS significantly affected baPWV,and OR value was the highest(5.385(95%CI 4.245-6.831), P<0.001) for BP+FPG+TG. All combinations of 4 components of MS affected baPWV,and OR value was the highest (6.519(95%CI 4.731-8.984), P<0.001) for BP+FPG+WC+TG. (4) Finally, every component of MS was divided into 3 levels, their impact on abnormal ΔbaPWV was analyzed. Prevalence of abnormal ΔbaPWV significantly increased with the increasing levels of the metabolic components expect for HDL-C, the F values were 1 224.66, 832.89, 192.72, 112.79 and 56.22, respectively (all P<0.001), indicating that higher levels of metabolic components significantly affected the ΔbaPWV. Conclusions: MS and accumulation of abnormal MS components are closely related with abnormal ΔbaPWV, and the combination of BP and FPG have the greatest impact on the abnormal ΔbaPWV. Analysis on the accumulation of MS components might serve as an early indicator of arteriosclerosis.

A0128 The relationship between abnormal metabolic conditions and arterial stiffness in hypertensives

Objectives: We investigated the relationship between abnormal metabolic conditions and arterial stiffness in hypertensives. Methods: A total of 680 subjects (age 58.44 ± 11.67 years, male 63.53%, hypertension 65.00%) enrolled in the studies was divided into five groups based on the number of known components of metabolic syndrome according to the criteria of 2010 Chinses Guidelines for Prevention and Management of Hypertension (0MS: n = 86; 1MS: n = 153;. 2MS: n = 201;.3MS: n = 148;. 4/5MS: n = 92.). Body weight, height, waist circumference, hip circumference, blood pressure and biochemical markers were measured. Carotid-femoral pulse wave velocity (cfPWV) was measured using a non-invasive automatic device. Results: The level of cfPWV was significantly increased with the increase of the number of abnormal metabolic components even after adjustments for age, gender (8.20 ± 1.54 vs 8.72 ± 1.48 vs 9.34 ± 1.77 vs 9.64 ± 1.86 vs 9.91 ± 2.19 m/s, P < 0.05). Subjects with hypertension (n = 442) had higher cfPWV than in subjects without hypertension (n = 238) after adjustments for age, gender and blood pressure.(9.59 ± 1.90 vs 8.49 ± 1.50 m/s, P < 0.05). Stepwise multiple regression analysis revealed that age, gender, blood pressure, heart rate as well as the serum uric acid level of the subjects were influent factors for cfPWV (P < 0.05). In the subgroups based on age, the prevalence of hypertension could make the influence of systolic blood pressure on arterial stiffness happen in advance (nonhypertensive in 60 years old, hypertensive in 50 years old). Conclusion: The arterial stiffness increased with the increasing of the abnormal metabolic component numbers, which is independent of age, gender and blood pressure. And the prevalence of hypertension could make the influence of systolic blood pressure on arterial stiffness happen in advance.

Association of vitamin D receptor gene polymorphism (VDR) with vitamin D deficiency, metabolic and inflammatory markers in Egyptian obese women

Vitamin D deficiency might contribute to the pathogenesis of metabolic syndrome and could cause immune disturbance. The aim of this study is to analyze the associations between Vitamin D receptor (VDR) gene polymorphism, serum 25-hydroxy vitamin D, metabolic and inflammatory biomarkers in Egyptian obese women. The study included 201 obese women with vitamin D deficiency and 249 obese matched age healthy controls with sufficient vitamin D levels. Their age ranged between 25 and 35 years. Inflammatory biomarkers (interleukin-6 and C-reactive protein) and serum 25(OH) D were measured by enzyme-linked immunosorbent assay. Insulin resistance (IR) was determined by the homeostasis model assessment of insulin resistance (HOMA-IR).Vitamin D receptor (VDR) gene polymorphisms of FokI, ApaI, and TaqI were studied by PCR using the restriction fragment length polymorphism (RFLP) technique. Obese women with vitamin D deficiency had significant higher values of inflammatory and metabolic parameters compared to controls. Multivariable-logistic regression showed associations between 25(OH) D deficiency and metabolic components when comparing cases with controls. Moreover, cases carrying polymorphic alleles showed significant lower levels of serum 25(OH) D and higher HOMA-IR, blood pressure levels and lipid parameters compared to those with the wild type homozygote in obese cases with vitamin D deficiency. Vitamin D deficiency in Egyptian obese women with vitamin D deficiency is associated with abnormal metabolic components and abnormal inflammatory biomarkers. Moreover, VDR polymorphisms play important role in immune and inflammation status.

Serum soluble receptor of advanced glycation end products and risk of metabolic syndrome in Egyptian obese women.

Obesity is one of the diagnostic criteria of metabolic syndrome (MS). It is correlated with insulin resistance (IR) and high vascular risk as well. Advanced glycation end products (AGEs) and their receptor (RAGE) play an important role in abnormal metabolic components in obese women. This study aimed to explore the serum levels of sRAGE in Egyptian obese women and compare with healthy non-obese controls and investigate the relationship between serum sRAGE, metabolic parameters, and obesity complications. The soluble form of receptor for advanced glycation end products (sRAGE), anthropometry, metabolic and biochemical biomarkers were measured in 100 obese women and 100 age-matched healthy control non-obese women. The homeostasis model assessment estimate of insulin resistance (HOMA-IR) has been determined from serum insulin and glucose values. Serum sRAGE levels were significantly lower in obese cases than controls and inversely correlated with obesity and metabolic parameters. Results of univariate and multivariate analyses for determinants of serum sRAGE levels in obese cases showed that parameters statistically and significantly related were body mass index (BMI), waist circumference (WC), LDL-C, TG, BP, HOMA-IR, ALT and AST. sRAGE is a novel biomarker for metabolic dysfunction in Egyptian obese women and might predict the future cardio-metabolic events.

Higher Levels of Magnesium and Lower Levels of Calcium in Whole Blood Are Positively Correlated with the Metabolic Syndrome in a Chinese Population: A Case-Control Study

Magnesium (Mg) and calcium (Ca) are essential for numerous kinds of metabolisms in human body. To investigate the associations between Mg and Ca and the ratio of Ca to Mg (Ca/Mg) in whole blood with metabolic syndrome (MetS) in a Chinese population, a matched case-control study including 204 MetS patients and 204 healthy controls (aged 48-89) was carried out in 2011. MetS were diagnosed according to the criteria of Chinese Diabetes Society. Controls had no abnormal metabolic components and were matched with cases by age, gender and region. Blood samples were collected in the morning after an overnight fast. Whole blood Mg and Ca were determined by flame atomic absorption spectrometry. Subjects who were male constituted 44.1% of the part of this study. The average age was 64.0 ± 7.18, and the average body mass index was 24.3 ± 3.75. The MetS group showed significantly higher Mg and lower Ca and Ca/Mg as compared with the control group. Comparing with the bottom tertile (T1) of Mg, increased ORs for MetS were found in median tertile (T2) and top tertile (T3) of Mg. For Ca, T2 and T3 were negatively associated with MetS. Inverse relationship was also found between Ca/Mg ratio and MetS. Our findings suggested that increased Mg and decreased Ca and Ca/Mg in whole blood were correlated with MetS in Chinese adults.

Association of physical activity with risk of metabolic syndrome: findings from a cross-sectional study conducted in rural area, Nantong, China

ABSTRACTThe prevalence of metabolic syndrome increases rapidly worldwide, and its association with physical activity (PA) varies with race and lifestyles. Little is known about the association in rural China. The Nantong Metabolic Syndrome Study recruited 13,505 female and 6997 male participants in 2007 and 2008. Socio-demographic characteristics, and physiological and behavioural data were collected. Logistic regression model was applied to estimate associations of metabolic syndrome and its components with different PAs. The overall metabolic syndrome prevalence was 21.6% in current study. Increasing total PA or moderate-to-vigorous-intensity occupational PA was associated with decreasing 5%–60% risk of having metabolic syndrome and abnormal metabolic syndrome components in both genders. An association between leisure-time PA and blood pressure was found in men, but no associations between leisure-time PA and metabolic syndrome components were found in women. Commuting PA, such as walking and taking bus, by bicycle and walking only, was associated with decrease of 20%–45% risk of several abnormal metabolic syndrome components in women. This study provides information for future investigation into the nature of these associations so that recommendations can be developed to reduce the prevalence of metabolic syndrome and its components among rural population in China.

Genetic and environmental relationships of metabolic and weight phenotypes to metabolic syndrome and diabetes: the healthy twin study.

We aimed to examine the relationships, including genetic and environmental correlations, between metabolic and weight phenotypes and factors related to diabetes and metabolic syndrome. Participants of the Healthy Twin Study without diabetes (n=2687; 895 monozygotic and 204 dizygotic twins, and 1588 nontwin family members; mean age, 42.5±13.1 years) were stratified according to body mass index (BMI) (<25 vs. ≥25 kg/m(2)) and metabolic syndrome categories at baseline. The metabolic traits, namely diabetes and metabolic syndrome, metabolic syndrome components, glycated hemoglobin (HbA1c) level, and homeostasis model assessment of insulin resistance (HOMA-IR), were assessed after 2.5±2.1 years. In a multivariate-adjusted model, those who had metabolic syndrome or overweight phenotypes at baseline were more likely to have higher HbA1C and HOMA-IR levels and abnormal metabolic syndrome components at follow-up as compared to the metabolically healthy normal weight subgroup. The incidence of diabetes was 4.4-fold higher in the metabolically unhealthy but normal weight individuals and 3.3-fold higher in the metabolically unhealthy and overweight individuals as compared with the metabolically healthy normal weight individuals. The heritability of the metabolic syndrome/weight phenotypes was 0.40±0.03. Significant genetic and environmental correlations were observed between the metabolic syndrome/weight phenotypes at baseline and the metabolic traits at follow-up, except for incident diabetes, which only had a significant common genetic sharing with the baseline phenotypes. The genetic and environmental relationships between the metabolic and weight phenotypes at baseline and the metabolic traits at follow-up suggest pleiotropic genetic mechanisms and the crucial role of lifestyle and behavioral factors.

The prevalence of metabolic syndrome components, individually and in combination, in male patients admitted with acute coronary syndrome, without previous diagnosis of diabetes mellitus

Background: Mortality from cardiovascular disease in the Middle East is projected to increase substantially in the coming decades. The prevalence of metabolic syndrome (MS) in acute coronary syndrome (ACS) continues to raise interest, but data from the Middle East is limited, especially in non-diabetic patients. This study was conducted to ascertain the prevalence of MS and frequency of its components, individually and in combination, in a male population presenting with ACS, but without a previous diagnosis of diabetes mellitus (DM).Methods: This is a prospective study of 467 consecutive male patients hospitalized for ACS. They were categorized according to the specific criteria stated in the latest joint statement for the global definition of MS.Results: The mean age was (49.7±10.7 years). Of the 467 patients, 324 (69.4%) fulfilled the criteria for MS. ST-Elevation Myocardial Infarction (STEMI) was identified in 178 patients (54.9%), and non-ST elevation ACS (NSTE-ACS) in 146 patients (45.1%). These proportions were not significantly different from those without MS (STEMI 51.7% vs. NSTE-ACS 48.3%, respectively). However, patients with MS were older (50.6±10 vs. 47.9±11 years; p=0.012), and more than half of those with MS were above 50 years. The most common abnormal metabolic components were reduced high-density lipoprotein cholesterol (HDL-c; 94.1%), elevated fasting blood glucose (FBG; 89.8%), and elevated triglycerides (81.8%), followed by increased waist circumference (61.7%) and raised blood pressure (40.4%). The majority of patients with MS had three or more metabolic components (326 patients, 69.4%), and 102 (21.8%) had two components, but only 37 (8.4%) had a single component.Conclusions: In ACS patients, without previous history of DM, MS is highly prevalent. Reduced HDL, elevated FBG and triglycerides were the most frequent metabolic components. The majority had multiple components. These findings raise alarm and show that drug therapy alone may not be fully effective, unless the underlying risk factors causing MS, such as weight and exercise, are also tackled.

Combinative analysis of factors influence serum alanine aminotransferase activity in adult male population from southern China

ObjectivesAbnormal alanine aminotransferase (ALT) activity is indicative of liver disease even a burden of overall health. We assessed the factors associated with ALT activity and their internal relationships in a male population from southern China. Design and methodsData of physical examinations, laboratory tests, hepatic ultrasounds and standardized questionnaire were collected from 2119 males participating in a population-based survey from September 2009 to December 2009. ResultsNonalcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS) were associated with the elevation of ALT levels (P<0.05). Prevalence of NAFLD was correlated to MetS (r=0.991, P=0.009). The levels of abnormal metabolic syndrome components increased in proportion with the ALT elevation (P<0.01). Obesity and hyperlipidemia were associated with the ALT levels in multivariate regression analysis (P<0.01). There was no synergic effect of hepatitis B virus surface antigen (HBsAg) and MetS on the ALT levels (synergy index [SI]=0.74, 95% confidence interval [CI]: 0.71–0.80). ConclusionNAFLD and MetS were associated with ALT levels in a male population from southern China. Obesity and hyperlipidemia were independent MetS components contributing to elevated ALT (e-ALT). This finding might suggest necessity on justification of these confounding factors when detecting ALT levels among this population.