Future Development Of Metabolic Syndrome Research Articles

Prediction of metabolic syndrome following a first pregnancy

The prevalence of metabolic syndrome is rapidly increasing in the United States. We hypothesized that prediction models using data obtained during pregnancy can accurately predict the future development of metabolic syndrome. This study aimed to develop machine learning models to predict the development of metabolic syndrome using factors ascertained in nulliparous pregnant individuals. This was a secondary analysis of a prospective cohort study (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be Heart Health Study [nuMoM2b-HHS]). Data were collected from October 2010 to October 2020, and analyzed from July 2023 to October 2023. Participants had in-person visits 2 to 7 years after their first delivery. The primary outcome was metabolic syndrome, defined by the National Cholesterol Education Program Adult Treatment Panel III criteria, which was measured within 2 to 7 years after delivery. A total of 127 variables that were obtained during pregnancy were evaluated. The data set was randomly split into a training set (70%) and a test set (30%). We developed a random forest model and a lasso regression model using variables obtained during pregnancy. We compared the area under the receiver operating characteristic curve for both models. Using the model with the better area under the receiver operating characteristic curve, we developed models that included fewer variables based on SHAP (SHapley Additive exPlanations) values and compared them with the original model. The final model chosen would have fewer variables and noninferior areas under the receiver operating characteristic curve. A total of 4225 individuals met the inclusion criteria; the mean (standard deviation) age was 27.0 (5.6) years. Of these, 754 (17.8%) developed metabolic syndrome. The area under the receiver operating characteristic curve of the random forest model was 0.878 (95% confidence interval, 0.846-0.909), which was higher than the 0.850 of the lasso model (95% confidence interval, 0.811-0.888; P<.001). Therefore, random forest models using fewer variables were developed. The random forest model with the top 3 variables (high-density lipoprotein, insulin, and high-sensitivity C-reactive protein) was chosen as the final model because it had the area under the receiver operating characteristic curve of 0.867 (95% confidence interval, 0.839-0.895), which was not inferior to the original model (P=.08). The area under the receiver operating characteristic curve of the final model in the test set was 0.847 (95% confidence interval, 0.821-0.873). An online application of the final model was developed (https://kawakita.shinyapps.io/metabolic/). We developed a model that can accurately predict the development of metabolic syndrome in 2 to 7 years after delivery.

PS-BPP06-8: DIETARY SALT INTAKE PREDICTS FUTURE DEVELOPMENT OF METABOLIC SYNDROME IN THE GENERAL POPULATION

Objective: Dietary salt consumption is one of the most important modifiable factors in our lifestyle and restriction of dietary salt results in the reduction of blood pressure in previous studies. Excessive salt intake causes cardiovascular diseases independently of its effects on blood pressure. Since metabolic syndrome also increases a risk of cardiovascular disease, there may be some association between salt intake and metabolic syndrome. Therefore, we investigated a possible relationship between salt intake and future development of metabolic syndrome in the general population. Design and Methods: Consecutive 12,256 subjects without metabolic syndrome (male = 7,053, 52.1 ± 12.3 year-old) who visited our hospital for an annual physical check-up from April 2010 to March 2018 were enrolled. After baseline examination, subjects were followed up until March 2019 (median 1,582 days) with the endpoint being the development of metabolic syndrome. Metabolic syndrome was diagnosed according to the Japanese criteria (2005). Individual salt intake was estimated using a spot urine by a previously reported Tanaka method. Results: Salt intake was 8.7 ± 1.9 and 8.4 ± 1.8 g/day in male and female subjects, respectively, at baseline. During the follow-up period, 1,669 subjects developed metabolic syndrome (29.9 per 1,000 person-year) with the incidence being more frequent in male than female subjects (41.8 vs. 14.2 per 1,000 person-year). Non-adjusted hazard ratio (HR) (95% confidence interval [CI]) of salt intake for the development of metabolic syndrome was 1.192 (1.164–1.221). Kaplan-Meier analysis where subjects were divided into gender-specific quartiles according to the baseline salt intake revealed that the incidence of metabolic syndrome were increased across the quartiles (19.5, 24.2, 33.1, and 43.9 per 1,000 person-years; logrank p &lt; 0.001). Multivariate Cox proportional hazard analysis adjusted for age, gender, body mass index, systolic blood pressure, heart rate, serum creatinine, uric acid, fasting plasma glucose, low-density lipoprotein cholesterol, triglyceride, hemoglobin and current smoking habit at baseline revealed that salt intake predicted the new onset of metabolic syndrome (HR:1.055, 95%CI:1.028–1.082). Conclusions: Excessive salt intake is significantly associated with the new development of metabolic syndrome in the general population. The results suggest that salt restriction prevents cardiovascular diseases through the prevention of not only hypertension but also metabolic syndrome.

Hypertension, Hyperlipidemia and Hyperglycemia in Pediatric Sickle Cell Disease

Children with sickle cell disease (SCD) have historically weighed less than their healthy peers but now have similar rates of raised body mass indices (BMIs), compared to national norms. Recent adult studies in SCD have shown increasing rates of metabolic syndrome. The aim of this study was to evaluate if weight status in pediatric patients with SCD contributed to increased risk of hypertension, hyperlipidemia and hyperglycemia. A prospective cross sectional study was conducted by enrolling 100 children with SCD from ages 10-19 years, half who have BMI's below the 85th percentile (underweight and normal weight) and half who have BMIs greater than the 85th percentile (overweight and obese). Blood pressure was measured by sphygmomanometer. Venous blood sample was analyzed to detect blood glucose, fructosamine, total cholesterol, triglycerides, and low and high density lipoprotein after 8 hour overnight fasting. Two questionnaires were completed by parents to assess youth nutrition and exercise, as well as family history of potential risk factors for outcome variables (e.g., maternal overweight/obesity, family type II diabetes). Results revealed that patients with HbSS/B0 were more likely to be on hydroxyurea. Patients with HbSC/SB+ had significantly higher BMI percentile, were younger, and had higher Hb/Hct compared to those with HbSS/SB0. Across genotypes, patients with a raised BMI had significantly higher systolic (Median (IQR) 118 [12.00]) and diastolic blood pressure (Median (IQR) 71 [14.00]). Fasting glucose (101 [13.00] vs 96 [9.00]) was higher in participants with raised BMI although fructosamine levels were not significantly higher. Patients with raised BMI also had significantly higher LDL levels compared to those with a normal BMI (73 [36] vs 63.5 [30]). Specifically, there were 7 participants with LDL in the borderline range, all in the raised BMI category. HbSC/SB genotype and higher Hb increased patient's odd of raised BMI by 40% and 7% respectively (OR=1.41, p< 0.001, OR= 1.07, p= 0.015). No differences were reported by parents regarding family nutrition and physical activity between BMI groups. However, family history of type II diabetes was a significant predictor of raised BMI (OR= 1.27, p 0.021). Children with less severe genotypes of SCD are more likely to have raised BMI's. Raised BMI is associated with higher systolic and diastolic blood pressure, fasting glucose and LDL levels across genotypes. Current results raise concerns for future development of metabolic syndrome and type II diabetes in youth with SCD.

Dietary salt intake predicts future development of metabolic syndrome in the general population.

Excessive dietary salt consumption is one of the most important risk factors for hypertension. Metabolic disorders often coexist with hypertension, and excess salt intake has been reported to underlie metabolic disorders, such as insulin resistance. Therefore, we tested the hypothesis that excessive dietary salt causes metabolic syndrome in the general population. In total, 13886 subjects who participated in our medical checkup were enrolled, and salt intake was assessed using a spot urine sample. The characteristics of participants with metabolic syndrome (n = 1630) were examined at baseline, and then participants without metabolic syndrome (n = 12256) were followed up with the endpoint being the development of metabolic syndrome. The average estimated salt intake in our participants was 8.72 ± 1.93 g/day. A significant association between salt intake and metabolic syndrome was obtained from the logistic regression analysis, and salt intake increased as the number of metabolic disorders in an individual increased at baseline (P < 0.001). During the median follow-up period of 52 months, 1669 participants developed metabolic syndrome. Kaplan-Meier analysis demonstrated an increased risk of metabolic syndrome across quartiles of baseline salt intake (log-rank, P < 0.001). In the Cox proportional hazard regression analysis where salt intake was taken as a continuous variable, salt intake at baseline was an independent predictor of developing metabolic syndrome. These results suggest that excessive salt intake is significantly associated with the development of metabolic syndrome in the general population. Salt may play an important role in the development of metabolic disorders and hypertension.

Health Behavior Profiles Among Midlife Women: Identifying At-Risk Subgroups for Metabolic Syndrome Using Latent Class Analysis.

Metabolic syndrome is known as a lifestyle disease that results from poor health behaviors. Yet, little is known about the subgroups of midlife women with distinct health behavior profiles who are at risk for developing metabolic syndrome. This study aims to identify latent subgroups of midlife women with distinct health behavior profiles (physical activity, alcohol, diet, and smoking), to describe the characteristics of latent subgroups, and to examine the association between latent class membership and future development of metabolic syndrome. This is a secondary data analysis using baseline and follow-up data from years 1, 3, 5, and 7 (N = 3,100) from the Study of Women's Health Across the Nation (SWAN). Latent class analysis was used to identify latent subgroups of midlife women based on their distinct health behavior profiles. Bivariate and multiple logistic regression was conducted to examine the individual characteristics of each latent subgroup and its association with the future development of metabolic syndrome. A 4-class model was selected: Class 1 (Healthy), Class 2 (Healthy except alcohol), Class 3 (Healthy except diet), and Class 4 (Unhealthy). Significant differences in individual characteristics were found among the four latent classes (p < .001). The regression analysis found that Class 2 had lower odds of developing metabolic syndrome at all future visits with statistical significance reached at visit 3 (p < .05) while Class 4 had higher odds of developing metabolic syndrome at all visits except visit 3 when both compared to Class 1. Clinicians should use the study findings to offer personalized approach to promote healthy behaviors and to guide future development of health promotion programs for midlife women.

Excessive salt intake is a significant predictor for future development of metabolic syndrome in the general population

Abstract Background/Introduction Dietary salt consumption is one of the most important modifiable factors in our lifestyle and restriction of dietary salt results in the reduction of blood pressure in previous studies. Excessive salt intake causes cardiovascular diseases independently of its effects on blood pressure. Since metabolic syndrome also increases a risk of cardiovascular disease, there may be some association between salt intake and metabolic syndrome. Purpose The present study was designed to investigate a possible relationship between salt intake and future development of metabolic syndrome in the general population. Methods Consecutive 12,256 subjects without metabolic syndrome (male=7,053, 52.1±12.3 year-old) who visited our hospital for an annual physical check-up from April 2010 to March 2018 were enrolled. After baseline examination, subjects were followed up until March 2019 (median 1,582 days) with the endpoint being the development of metabolic syndrome. Metabolic syndrome was diagnosed according to the Japanese criteria (2005). Individual salt intake was estimated using a spot urine by a previously reported method. Results Salt intake was 11.9±3.0 g/day in male and 8.2±2.1 g/day in female subjects at baseline. During the follow-up period, 1,669 subjects developed metabolic syndrome (29.9 per 1,000 person-year) with the incidence being more frequent in male than female subjects (41.8 vs. 14.2 per 1,000 person-year). Non-adjusted hazard ratio (HR) (95% confidence interval [CI]) of salt intake for the development of metabolic syndrome was 1.157 (1.142–1.173). In analysis where subjects were divided into gender-specific quartiles according to the baseline salt intake, Kaplan-Meyer curve analysis revealed that the incidence of metabolic syndrome were increased across the quartiles (20.6, 25.0, 32.4, and 42.7 per 1,000 person-years; logrank p&amp;lt;0.001). Multivariate Cox proportional hazard analysis adjusted for age, gender, body mass index, systolic blood pressure, heart rate, serum creatinine, uric acid, fasting plasma glucose, low-density lipoprotein cholesterol, triglyceride, hemoglobin and current smoking habit at baseline revealed that salt intake predicted the new onset of metabolic syndrome (HR: 1.036, 95% CI: 1.019–1.054). Conclusions Excessive salt intake is significantly associated with the new development of metabolic syndrome in the general population. The results suggest that salt restriction prevents metabolic syndrome as well as hypertension leading to cardiovascular diseases. Funding Acknowledgement Type of funding source: None

Decreased heart rate variability can predict future development of metabolic syndrome in Asian adults

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)

Association of triiodothyronine levels with future development of metabolic syndrome in euthyroid middle-aged subjects: a 6-year retrospective longitudinal study.

Several cross-sectional studies have reported that thyroid hormone levels are associated with cardiovascular risk markers and metabolic syndrome (MetS) even in euthyroid subjects. However, the prognostic role of serum thyroid hormone levels in the risk of incident MetS has not been elucidated. We aimed to investigate the associations of baseline serum thyroid hormone levels with the development of MetS in healthy subjects. This 6-year, cross-sectional, longitudinal and follow-up study was conducted in 12 037 euthyroid middle-aged subjects without MetS subjected to comprehensive health examinations. Subjects were grouped according to total triiodothyronine (T3) quartiles. The hazard ratio (HR) for the development of MetS according to T3 quartiles was estimated using Cox proportional hazards model. During the 6-year period, 3544 incident cases of MetS (29%) were identified. The proportion of subjects with incident MetS increased across the T3 quartiles (P for trend <0.001). The HR and 95% confidence interval (CI) for the development of MetS were significantly higher in the highest T3 quartile compared with the lowest T3 quartile even after adjusting for confounding variables including gender, age and smoking (HR: 1.238, 95% CI: 1.128-1.358, P < 0.001). In euthyroid middle-aged subjects, serum T3 levels are associated with increased risk for future development of MetS.

Incremental Predictive Value of Serum AST-to-ALT Ratio for Incident Metabolic Syndrome: The ARIRANG Study.

AimsThe ratio of aspartate aminotransferase (AST) to alanine aminotransferase (ALT) is of great interest as a possible novel marker of metabolic syndrome. However, longitudinal studies emphasizing the incremental predictive value of the AST-to-ALT ratio in diagnosing individuals at higher risk of developing metabolic syndrome are very scarce. Therefore, our study aimed to evaluate the AST-to-ALT ratio as an incremental predictor of new onset metabolic syndrome in a population-based cohort study.Material and MethodsThe population-based cohort study included 2276 adults (903 men and 1373 women) aged 40–70 years, who participated from 2005–2008 (baseline) without metabolic syndrome and were followed up from 2008–2011. Metabolic syndrome was defined according to the harmonized definition of metabolic syndrome. Serum concentrations of AST and ALT were determined by enzymatic methods.ResultsDuring an average follow-up period of 2.6-years, 395 individuals (17.4%) developed metabolic syndrome. In a multivariable adjusted model, the odds ratio (95% confidence interval) for new onset of metabolic syndrome, comparing the fourth quartile to the first quartile of the AST-to-ALT ratio, was 0.598 (0.422–0.853). The AST-to-ALT ratio also improved the area under the receiver operating characteristic curve (AUC) for predicting new cases of metabolic syndrome (0.715 vs. 0.732, P = 0.004). The net reclassification improvement of prediction models including the AST-to-ALT ratio was 0.23 (95% CI: 0.124–0.337, P<0.001), and the integrated discrimination improvement was 0.0094 (95% CI: 0.0046–0.0143, P<0.001).ConclusionsThe AST-to-ALT ratio independently predicted the future development of metabolic syndrome and had incremental predictive value for incident metabolic syndrome.

Circulating Unsaturated Fatty Acids Delineate the Metabolic Status of Obese Individuals

BackgroundObesity is not a homogeneous condition across individuals since about 25–40% of obese individuals can maintain healthy status with no apparent signs of metabolic complications. The simple anthropometric measure of body mass index does not always reflect the biological effects of excessive body fat on health, thus additional molecular characterizations of obese phenotypes are needed to assess the risk of developing subsequent metabolic conditions at an individual level. MethodsTo better understand the associations of free fatty acids (FFAs) with metabolic phenotypes of obesity, we applied a targeted metabolomics approach to measure 40 serum FFAs from 452 individuals who participated in four independent studies, using an ultra-performance liquid chromatograph coupled to a Xevo G2 quadruple time-of-flight mass spectrometer. FindingsFFA levels were significantly elevated in overweight/obese subjects with diabetes compared to their healthy counterparts. We identified a group of unsaturated fatty acids (UFAs) that are closely correlated with metabolic status in two groups of obese individuals who underwent weight loss intervention and can predict the recurrence of diabetes at two years after metabolic surgery. Two UFAs, dihomo-gamma-linolenic acid and palmitoleic acid, were also able to predict the future development of metabolic syndrome (MS) in a group of obese subjects. InterpretationThese findings underscore the potential role of UFAs in the MS pathogenesis and also as important markers in predicting the risk of developing diabetes in obese individuals or diabetes remission after a metabolic surgery.

Serum Bilirubin Levels Predict Future Development of Metabolic Syndrome in Healthy Middle-aged Nonsmoking Men

BackgroundDespite epidemiologic research demonstrating an inverse relationship between serum bilirubin levels and the prevalence of metabolic syndrome, prospective data on serum bilirubin as a predictor of incident metabolic syndrome are limited. MethodsSerum bilirubin was examined as a risk marker for incident metabolic syndrome in a prospective study of 468 Taiwanese middle-aged men who were free of metabolic syndrome and other systemic diseases at baseline. These subjects were followed up in annual health examinations between 2001 and 2009 for the development of metabolic syndrome, which was defined according to unified criteria set by several major organizations. ResultsAmong the study subjects, 377 were nonsmokers and 91 were current smokers. All individuals were then stratified into 3 groups according to their baseline serum bilirubin levels (low, normal, and high). During a mean follow-up period of 7.58 years, 66 subjects developed metabolic syndrome. The incidence of metabolic syndrome was significantly reduced in the high-bilirubin group compared with the low-bilirubin group (6.4% vs 22.4%, P < .001). Multivariate Cox regression analysis revealed that the hazard ratio for incident metabolic syndrome between the highest and lowest tertiles of serum bilirubin levels was 0.246 (95% confidence interval 0.120-0.503). However, although it remained clearly evident in nonsmokers, the inverse correlation was attenuated in current smokers. ConclusionsIncreased serum bilirubin was associated with a reduced future risk of metabolic syndrome in apparently healthy middle-aged, nonsmoking men. Our findings support the predictive role of serum total bilirubin for future development of metabolic syndrome.

Adipocytokines in Particular Pregnancy Disorders

Human pregnancy is affected by placental hormones which cause insulin resistance. In normal pregnancy, insulin resistance may lead to some problems associated with disturbed placental function, such as gestational diabetes mellitus, preeclampsia, and intrauterine growth restriction. These pregnancy conditions may result in the future development of metabolic syndrome. The pathogenetic mechanisms underlying the association between abnormal placental development, insulin resistanc and maternal metabolic syndrome are not fully understood. Adipose tissue may have an important role in the regulation of insulin resistance in both nonpregnant and pregnant participants. In this respect, adipocytokines, which are adipocyte derived hormones, have been implicated in the regulation of maternal metabolism and gestational insulin resistance. Adipocytokines, including leptin, adiponectin, tumor necrosis factor a, interleukin 6, as well as the recently ascertained resistin, visfatin, and apelin, are also known to be produced within the intrauterine environment. Release of adipocytokines in normal and abnormal pregnancy is still not clear and partially conflicting. This review aims to summarize reported findings concerning the role of adipocytokines (leptin, adiponectin, ghrelin, tumor necrosis factor [TNF], interleukin-6 [IL-6], visfatin, resistin, apelin). In early life, while attempting to speculate mechanisms through which differential regulation of adipocytokines in pregnancy complications may influence the risk for development of chronic diseases in later life.

Adiposity Rebound and the Development of Metabolic Syndrome

The age of adiposity rebound (AR) is defined as the time at which BMI starts to rise after infancy and is thought to be a marker of later obesity. To determine whether this age is related to future occurrence of metabolic syndrome, we investigated the relationship of the timing of AR with metabolic consequences at 12 years of age. A total of 271 children (147 boys and 124 girls) born in 1995 and 1996 were enrolled in the study. Serial measurements of BMI were conducted at the ages of 4 and 8 months and 1, 1.5, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 12 years, based on which age of AR was calculated. Plasma lipids and blood pressure were measured at 12 years of age. An earlier AR (<4 years of age) was associated with a higher BMI (≥ 20) and a lipoprotein phenotype representative of insulin resistance. This phenotype consists of elevated triglycerides, apolipoprotein B, and atherogenic index and decreased high-density lipoprotein cholesterol in boys and elevated apolipoprotein B in girls at 12 years of age. The earlier AR was also related to elevated blood pressure in boys. This longitudinal population-based study indicates that children who exhibit AR at a younger age are predisposed to future development of metabolic syndrome. Therefore, monitoring of AR may be an effective method for the early identification of children at risk for metabolic syndrome.

339: A pilot study of hemodynamic parameters by noninvasive advanced impedance cardiography (NAIC) in pregnant women in Urban India: a prelude to preeclampsia, low birth weight and future development of metabolic syndrome

339: A pilot study of hemodynamic parameters by noninvasive advanced impedance cardiography (NAIC) in pregnant women in Urban India: a prelude to preeclampsia, low birth weight and future development of metabolic syndrome

Serum uric acid and appropriate cutoff value for prediction of metabolic syndrome among Chinese adults

The relation between serum uric acid and metabolic syndrome is observed not only with frank hyperuricemia but also with serum uric acid levels within the normal range. The current “normal” range set for hyperuricemia often fails to identify patients with potential metabolic disorders. We investigate the association between serum uric acid within the normal range and incident metabolic syndrome risk, and further to determine the optimal cut-off value of serum uric acid for the diagnosis or prediction of metabolic syndrome. A total of 7399 Chinese adults (2957 men and 4442 women; ≥20 years) free of metabolic syndrome were followed for 3 years. During the 3-year follow-up, 1190 normouricemic individuals developed metabolic syndrome (16.1%). After adjusting the associated variables, the top quartile of serum uric acid levels was associated with higher metabolic syndrome development compared with the bottom quartile in men (hazard ratio (HR), 1.29; p<0.05) and women (HR, 1.62; p<0.05). ROC curve analysis indicated that the optimal cut-off values for serum uric acid to identify metabolic syndrome were 6.3 mg/dl in men and 4.9 mg/dl in women. Our results suggested that high baseline serum uric acid levels within the normal range predict future development of metabolic syndrome after 3 y of follow-up.

Role of Obesity and Lipotoxicity in the Development of Nonalcoholic Steatohepatitis: Pathophysiology and Clinical Implications

As obesity reaches epidemic proportions, nonalcoholic fatty liver disease (NAFLD) is becoming a frequent cause of patient referral to gastroenterologists. There is a close link between dysfunctional adipose tissue in NAFLD and common conditions such as metabolic syndrome, type 2 diabetes mellitus, and cardiovascular disease. This review focuses on the pathophysiology of interactions between adipose tissue and target organs in obesity and the resulting clinical implications for the management of nonalcoholic steatohepatitis. The release of fatty acids from dysfunctional and insulin-resistant adipocytes results in lipotoxicity, caused by the accumulation of triglyceride-derived toxic metabolites in ectopic tissues (liver, muscle, pancreatic beta cells) and subsequent activation of inflammatory pathways, cellular dysfunction, and lipoapoptosis. The cross talk between dysfunctional adipocytes and the liver involves multiple cell populations, including macrophages and other immune cells, that in concert promote the development of lipotoxic liver disease, a term that more accurately describes the pathophysiology of nonalcoholic steatohepatitis. At the clinical level, adipose tissue insulin resistance contributes to type 2 diabetes mellitus and cardiovascular disease. Treatments that rescue the liver from lipotoxicity by restoring adipose tissue insulin sensitivity (eg, significant weight loss, exercise, thiazolidinediones) or preventing activation of inflammatory pathways and oxidative stress (ie, vitamin E, thiazolidinediones) hold promise in the treatment of NAFLD, although their long-term safety and efficacy remain to be established. Better understanding of pathways that link dysregulated adipose tissue, metabolic dysfunction, and liver lipotoxicity will result in improvements in the clinical management of these challenging patients.

The Association between Serum Gamma-Glutamyltransferase within Normal Levels and Metabolic Syndrome in Office Workers: A 4-Year Follow-up Study

BackgroundSerum gamma-glutamyltransferase (GGT) has been suggested as a predictor for development of the metabolic syndrome in non-Korean population, but studies in Korean population are scarce. Therefore, we examined the association between serum GGT levels and the incidence of the metabolic syndrome in Korean male office workers.MethodsThe study population consisted of 32,692 office workers who underwent health checkups in both 2005 and 2009. A total of 17,583 with elevated GGT levels, the presence of metabolic syndrome, medication history at baseline, and female office workers were excluded. Finally, 15,109 subjects were included in the final analysis. We measured serum GGT levels and individual metabolic components.ResultsAs a quartile of serum GGT increased, 4-year follow-up incidence of the metabolic syndrome increased. After adjustment for age, alcohol drinking status and smoking status in 2005, logistic regression analysis showed that the odds ratios (95% confidence interval) for incident metabolic syndrome in 2009 compared to the lowest quartile and upper quartiles were 1.00 (reference), 1.57 (1.24-2.00), 2.73 (2.17-3.43), 3.78 (3.02-4.74), and statistically significant (P < 0.001), respectively.ConclusionThese results showed that the higher serum GGT predicted the future development of metabolic syndrome. In Korean male office workers without the metabolic syndrome, the serum GGT levels despite normal levels were associated with an increased risk of incident metabolic syndrome.

Low-density lipoprotein cholesterol to apolipoprotein B ratio is independently associated with metabolic syndrome in Korean men

The low-density lipoprotein cholesterol to apolipoprotein B (LDL-C/apo B) ratio is associated with cardiovascular risk factors and the prevalence of metabolic syndrome. The aim of this study was to assess the relationship between LDL-C/apo B ratio and metabolic syndrome in Korean men. This study included 499 men (mean age, 49.1 years) without metabolic syndrome at baseline who were followed for an average of 2.9 years. Subjects were divided into 4 groups according to baseline LDL-C/apo B ratio quartiles: greater than 1.243 in group I, 1.164 to 1.243 in group II, 1.070 to 1.163 in group III, and less than 1.070 in group IV. The incidence of metabolic syndrome at follow-up was compared according to LDL-C/apo B ratio group. Metabolic syndrome was defined using the National Cholesterol Education Program Adult Treatment Panel III criteria. The overall incidence of metabolic syndrome was 9.6%: 1.6% in the highest quartile (group I), 9.7% in group II, 11.2% in group III, and 16.0% in the lowest quartile (group IV) (P = .001). In multivariable regression analysis model adjusting for age, lifestyle status, homeostasis model assessment of insulin resistance, LDL-C, and high-sensitivity C-reactive protein, groups II, III, and IV had significantly increased odds ratio for the incidence of metabolic syndrome compared with the highest LDL-C/apo B quartile (group I). The LDL-C/apo B ratio is independently associated with metabolic syndrome in Korean men, indicating that this ratio may provide additional information when assessing cardiometabolic risks and predicting future development of metabolic syndrome.

Maternal smoking during pregnancy and offspring obesity: Meta‐analysis

Recent reports have suggested that maternal smoking may increase the risk of development of obesity in the unborn child in later life, but relatively few cohort studies have been done on the relationship between maternal smoking during pregnancy and future development of metabolic syndrome. A systematic review and meta-analysis of observational studies reporting effect estimates and 95% confidence intervals (95%CI) was conducted on the association between maternal smoking during pregnancy and obesity of future offspring. Seventeen papers were identified from 444 English-language papers (key word search: maternal smoking and obesity) in PubMed. All papers showed a positive association between maternal smoking during pregnancy and childhood obesity. The meta-analysis, using the DerSimonian-Laird method, found the association to be statistically significant. In association with maternal smoking during pregnancy and body mass index with more than 95%CI in the offspring aged 3-33 years, the pooled odds ratio calculated from 16 of these 17 studies was 1.64 (95%CI: 1.42-1.90). After adjustment for publication bias, the pooled adjusted odds ratio was 1.52 (95%CI: 1.36-1.70). In addition, confounders of maternal obesity, low social status, low birthweight and not being breast-fed seemed to be risk factors for offspring obesity. Maternal smoking during pregnancy may cause future obesity and metabolic syndrome.

Serum γ-glutamyl transferase activity predicts future development of metabolic syndrome defined by 2 different criteria

Background Recent studies suggest the role of liver enzymes, such as serum γ-glutamyl transferase (GGT) and alanine aminotransferase (ALT) as the predictor for future development of metabolic syndrome (MetS), diabetes and cardiovascular disease in epidemiologic studies. We hypothesized that serum concentrations of GGT and ALT are associated with the development of MetS, according to newly recommended criteria from International Diabetes Federation (IDF) and American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) definition in Koreans. Methods A total of 15,250 males (mean 38 y) and 6280 females (mean 41 y) who visited the Health Promotion Center at Kangbuk Samsung Hospital for medical check-up in 2002, were followed-up after 4 y. We analyzed the development of MetS in their follow-up data in 2006. Results When the subjects were divided into quartiles by the baseline GGT levels, the odds ratio for the MetS defined by both criteria across the quartile groups increased as the quartile groups increased in both gender groups. This association remained significant even after adjustment for confounding factors, such as, age, alcohol intake, smoking status, physical activity, ALT, fasting insulin and HOMA-IR. Serum ALT concentration also showed significantly positive correlation with development of MetS defined by the two criteria even after adjustment for age and GGT in both gender groups. In addition, risk for the individual MetS components increased as the baseline GGT concentrations increased, except low high-density lipoprotein cholesterol (HDL-C) in female group. In receiver operating characteristic (ROC) curves, the area under the curves (AUC) of GGT and ALT to predict future MetS by both criteria was larger than the AUCs of blood pressure, fasting glucose and HDL-C. Conclusions In this large prospective study in Koreans, high baseline GGT and ALT concentrations predicted future development of MetS defined by IDF and AHA/NHLBI criteria after 4 y of follow-up.