Risk Of Metabolic Syndrome Research Articles

Association of Dietary Vitamin C Intake with the Risk of Metabolic Syndrome Among Adults: NHANES 2007-2018.

Objectives: There has been discussion over the association between vitamin C intake and the risk of metabolic syndrome (MetS). This study examined the relationship between dietary vitamin C intake and the risk of MetS in a sizable adult American population. Methods: We examined the relationship between dietary vitamin C intake and the risk of MetS in 12,943 persons from the 2007 to 2018 National Health and Nutrition Examination Survey (NHANES). This association was then evaluated using logistic regression and restricted cubic spline models. Sex and age-based subgroup analyses were carried out. Results: According to the results of the multiple regression model, the risk of MetS was inversely correlated with dietary vitamin C intake, vitamin C intake derived from fruits and vegetables. The adjusted results (odds ratios with 95% confidence intervals) for the highest versus lowest tertile were 0.80 (0.68-0.93), 0.86 (0.75-0.98), and 0.80 (0.69-0.93). Subgroup analyses further showed that the negative correlation of dietary vitamin C intake with the risk of MetS was particularly pronounced among females, those in the 20-39 age group, and those in the ≥60 age group. The dose-response relationship's findings indicated that vitamin C from diet and fruits had a nonlinear correlation with the risk of MetS, whereas vitamin C from vegetables had a linear correlation. Conclusions: The risk of MetS in adult Americans was found to be negatively correlated with dietary vitamin C intake, particularly from fruits and vegetables.

The inverse relationship between Life's Essential 8 and risk of metabolic syndrome: evidence from NHANES 2005-2018.

Metabolic syndrome (MetS) has a close association with cardiovascular diseases. Few studies have investigated the association of Life's Essential 8 (LE8), the updated measurement of cardiovascular health (CVH), with MetS. The National Health and Nutrition Examination Survey (2005-2018) data was extracted. The LE8 comprised 4 health behaviors (diet, physical activity, nicotine exposure, and sleep health) and 4 health factors [body mass index (BMI), blood lipids, blood glucose, and blood pressure (BP)]. The total LE8 score is the average of 8 metric scores (0-100), categorized into low (0-49), moderate (50-79), and high CVH (80-100) levels. Multivariable logistic regression models, restricted cubic spline models and stratified analyses were performed to examine the relationship between LE8 and MetS. In this study, a total of 21,543 participants represented 146.6 million non-institutionalized U.S. adults. Following adjustment for various potential covariates, participants who attained a moderate [adjusted odds ratio (AOR) = 0.234, 95% CI: 0.209, 0.262] or a high CVH level (AOR = 0.026, 95% CI: 0.021, 0.032) exhibited an inverse correlation with MetS risks when comparing those with a low CVH level. An inverse linear dose-response relationship between LE8 scores and MetS risks was also identified (P for nonlinearity > 0.05). LE8 was inversely associated with the risk of MetS. Adhering to LE8 guidelines to sustain a higher CVH level may be beneficial for preventing MetS.

High-Intensity interval training improves global longitudinal strain in patients with metabolic syndrome and high risk of heart failure

Abstract Background Metabolic syndrome (MS) has been associated with the development of myocardial dysfunction which can lead to heart failure (HF). It is possible to detect early signs of myocardial dysfunction by assessing the global longitudinal strain (GLS) in a transthoracic echocardiography. A reduced GLS is considered as a predictor of HF development. Preventive strategies are recommended in patients with MS to avoid the progression to HF. Although exercise improves cardiovascular and metabolic health in MS patients, it is unknown whether exercise can affect the evolution of GLS in a group of patients with MS who are under medical treatment. Purpose To assess the prevalence of myocardial dysfunction (i.e., reduced GLS) in a heterogeneous group of patients with MS who are under medical treatment, and to test in these patients if 16 weeks of high-intensity interval training (HIIT) can improve the GLS. Methods Seventy-seven volunteers with MS and without signs or symptoms of HF were randomized in one of two 16-week intervention: i). HIIT in stationary bikes 3 sessions/week, 50 minutes/session + medical treatment (HIIT group), or ii). medical treatment (CONTROL). Maximal oxygen consumption (VO2max), and GLS together with rutinary echocardiographic parameters were assessed before and after intervention. The effect of HIIT compared to CONTROL was analyzed by a split-plot ANOVA to compare the effects of time (pre vs. post) and group (HIIT vs. CONTROL), and the interaction between the two factors. Results Before intervention 48.9% of participants from the HIIT group, and 46.7% from the CON group had a reduced GLS (i.e., >17% for men and >18% for women). However, none of them had a reduced left ventricular ejection fraction (LVEF), signs of diastolic dysfunction or an abnormal VO2max (less than 80% of predicted VO2max). After the 16-week intervention, only individuals from the HIIT group improved their VO2max (time*group P<0.001). LVEF did not improve in any of the experimental groups (time P=0.278) HIIT group improved their GLS by 0.51%, whereas CONTROL group improved it by 0.05% without reaching statistical significance (time*group P=0.186). However, a subgroup analysis of GLS conducted among the participants from the HIIT group discriminated by their pre-intervention values (GLS normal or reduced), showed that individuals with reduced GLS improved significantly by 1,41% (P=0.001) whereas those with a normal GLS improved by 0.14% without reaching statistical significance (P=0.736, time*group P=0.009). Conclusions Myocardial dysfunction assessed by GLS is present in MS even in the absence of symptoms, diastolic dysfunction, or reductions in the LVEF. HIIT can reduce the risk of HF development by improving GLS in patients with MS and early signs of myocardial dysfunction.A. Overall changes in GLSB. Subgroup analysis of GLS pre vs. post

ASO Author Reflections: Achievements of Textbook Outcomes for Hepatocellular Carcinoma Patients After Liver Resection: The Role of the Number of Metabolic Syndrome Risk Factors.

ASO Author Reflections: Achievements of Textbook Outcomes for Hepatocellular Carcinoma Patients After Liver Resection: The Role of the Number of Metabolic Syndrome Risk Factors.

The Potential of Dehydrated Geniotrigona thoracica Stingless Bee Honey against Metabolic Syndrome in Rats Induced by a High-Carbohydrate, High-Fat Diet

Background/Objectives: Metabolic syndrome (MS) is diagnosed when at least three out of five key risk factors are present: obesity, high blood pressure, insulin resistance, high triglycerides (TG) and low high-density lipoprotein (HDL). MS is often associated with chronic low-grade inflammation. Recent studies have shown that raw stingless bee honey (SBH) can alleviate MS risk factors. However, the high moisture content in raw SBH predisposes it to fermentation, which can degrade its quality. Therefore, dehydrating SBH is necessary to prevent the fermentation process. This study aimed to compare the effects of dehydrated (DeGT) and raw (RGT) SBH from Geniotrigona thoracica species on high-carbohydrate, high-fat diet (HCHF)-induced MS in rats. Methods: Twenty-four male Wistar rats were divided into four groups: control (C), HCHF-induced MS without treatment (MS), HCHF-induced MS treated with DeGT (MS+DeGT) and HCHF-induced MS treated with RGT (MS+RGT). Group C received standard rat chow, while the other groups were fed with HCHF diet for 16 weeks. In the final eight weeks, two HCHF-induced groups received their respective SBH treatments. Results: Both DeGT and RGT treatments reduced energy intake, fat mass, high blood pressure, inflammatory (tumour necrosis factor-alpha (TNF-α)) and obesity (the leptin/adiponectin (L/A) ratio, corticosterone, 11 beta-hydroxysteroid dehydrogenase type-1 (11βHSD1)) markers, as well as prevented histomorphometry changes (prevented adipocyte hypertrophy, increased the Bowman’s space area and glomerular atrophy). Additionally, DeGT increased serum HDL levels, while RGT reduced serum TG, leptin and other inflammatory markers (interleukin-6 (IL-6) and interleukin-1 beta (IL-1β)), as well as hepatosteatosis. Conclusions: While DeGT demonstrates potential as a preventive agent for MS, RGT exhibited more pronounced anti-MS effects in this study.

Exploring metabolic syndrome and dietary quality in Iranian adults: a cross-sectional study

BackgroundMetabolic syndrome (MetS) is a cluster of cardiovascular risk factors affecting a quarter of the global population, with diet playing a significant role in its progression. The aim of this study is to compare the effectiveness of the Dietary Diabetes Risk Reduction Score (DDRRS) and the Macronutrient Quality Index (MQI) scoring systems in assessing the diet-related risk of metabolic syndrome.MethodsIn this cross-sectional study, data from 7431 individuals aged between 30 and 70 years, obtained from the Mashhad Cohort Study, were utilized to evaluate the risk factors of metabolic syndrome. A valid semi-quantitative food frequency questionnaire was used to assess participants’ dietary intake. The MQI was calculated based on carbohydrate, fat, and healthy protein components, while the DDRRS was also computed. Anthropometric measurements and blood samples were taken to determine the presence of metabolic syndrome. Logistic regression analyses were conducted to assess the association between MQI and DDRRS with metabolic syndrome and its components.ResultsAccording to the crude model, we observed lower odds of MetS in the highest quartile of DDRRS and MQI compared to the lowest quartile (P-trend < 0.001). This trend persisted in the fully adjusted models, revealing odds ratios of 0.399 (95% CI: 0.319-0.500) and 0.597 (95% CI: 0.476–0.749) for DDRRS and MQI, respectively. After controlling for all potential confounders, we observed lower odds of central obesity in the highest quartile of MQI (OR: 0.818, 95% CI: 0.676–0.989, P-trend = 0.027). Furthermore, we found that the odds of high triglyceride levels were lower in the highest quartile of DDRRS compared to the lowest quartile (OR: 0.633, 95% CI: 0.521, 0.770, P-trend < 0.001).ConclusionIn conclusion, our study indicates that greater adherence to both DDRRS and MQI is linked to a decreased risk of metabolic syndrome and its components. These findings hold significant implications for public health and the development of personalized nutrition strategies.

Contribution of body adiposity index and conicity index in prediction of metabolic syndrome risk and components

Background and aimsBody adiposity index (BAI) and conicity index have been known as useful measures in predicting cardio-metabolic diseases. This study aimed to evaluate the predictive potential of BAI and conicity index for the risk of metabolic syndrome (MetS) in comparison with body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-hip ratio (WHR). MethodsIn this cross-sectional study, 174 adults (87 with MetS and 87 healthy individuals) were recruited from a medical weight loss center. Anthropometric parameters, systolic and diastolic blood pressures (SDP and DBP), lipid profile, and fasting blood sugar (FBS) were measured. ResultsAll anthropometric parameters were significantly higher in subjects with MetS than in healthy subjects. Both in MetS and healthy subjects, females had significantly higher BAI and BMI than males. In the fully adjusted model, the odds of MetS increased for each unit increase in BAI by 27 % (p = 0.001), in BMI by 33 % (p = 0.001), in WC by 13 % (p < 0.001), and in HC by 9 % (p = 0.005). ROC curve analysis showed that all the anthropometric parameters displayed clinical importance in predicting MetS, but WHR had the largest area under the curve (AUC) in total, male, and female patients. In participants with MetS, the conicity index was negatively correlated with FBS; BAI was positively associated with HDL level. ConclusionAll studied anthropometric parameters had acceptable accuracy for predicting MetS. Traditional parameters, particularly the WHR, exhibited a higher predictive power concerning MetS. The results underscore the reliability of conventional anthropometric measures in clinical and epidemiological settings.

Association of circulating adipokines with metabolic measures among people with HIV: Moderating effects of alcohol use.

People with HIV (PWH) are at increased risk for cardiometabolic comorbidities. We have reported that lifetime alcohol use among people with HIV (PWH) is associated with increased risk for metabolic syndrome. Dysfunctional adipose tissue and altered circulating adipokines mediate metabolic dysregulation. The objective of this study was to determine the associations of circulating adipokine concentration with metabolic measures, and the moderating effects of lifetime and recent alcohol use in PWH. This is a cross-sectional analysis of data from 357 PWH at their baseline visit of the longitudinal New Orleans Alcohol and HIV (NOAH) study. The concentrations of four circulating adipokines (adiponectin, leptin, resistin, and fatty acid-binding protein 4 [FABP4]) and their associations with five metabolic measures (triglycerides, cholesterol, Hemoglobin A1c, Homeostatic Model Assessment for Insulin Resistance, and metabolic syndrome) were examined. Higher circulating adiponectin was associated with increased odds of normal triglyceride, cholesterol, and Hemoglobin A1c levels. Increased leptin and FABP4 concentrations were associated with decreased odds of normal triglyceride and cholesterol levels. Increased leptin and FABP4 concentrations were associated with increased odds of insulin resistance and meeting criteria for metabolic syndrome. Increased circulating resistin concentration was associated with decreased odds of normal triglyceride levels and increased odds of meeting criteria for metabolic syndrome. Additionally, among PWH with increased lifetime alcohol use, higher adiponectin concentration was associated with decreased odds of meeting criteria for metabolic syndrome. These data suggest the interplay between adiponectin, leptin, FABP4, and resistin may contribute to metabolic stability among PWH. Moreover, lifetime, but not recent, alcohol use moderates the relationship between adipokines and metabolic measures. These data highlight the relevance of functional adipose tissue mass and associated circulating adipokine levels in maintaining metabolic homeostasis, and its moderation by lifetime alcohol consumption.

Association of lifestyle trajectory and total lifestyle change score with risk of metabolic syndrome: The prospective community-based Ansung-Ansan cohort study

Background&AimsWe aimed to examine the association of lifestyle trajectory and total lifestyle change score with the risk of metabolic syndrome (MetS). MethodsWe analyzed 2,048 participants aged 40 to 69 years without MetS at baseline in the Ansung-Ansan cohort study. Lifestyle trajectories were identified using group based trajectory analysis, and total lifestyle change score were identified using index analysis. Healthy lifestyle trajectory and total lifestyle change score as exposure, and MetS as outcome. Cox proportional-hazards regression was used to examine the hazard ratios (HRs) for the exposure-outcome association. ResultsDuring the median 9.8-year follow-up, 756 cases were recorded. Compared with those in the the stable low healthy lifestyle trajectory, the stable high healthy lifestyle trajectory showed a protective effect on reducing the risk of MetS (men: HR, 0.47; 95% confidence interval [95% CI], 0.34-0.66; women: HR, 0.62; 95% CI, 0.43-0.91). Similar results were observed in the index based analysis, compared with those with lower total lifestyle change scores, men and women with higher scores had 46% and 47% lower risks of developing MetS, respectively (men: HR, 0.54; 95%CI, 0.41-0.71; women: HR, 0.53; 95% CI, 0.41-0.68). ConclusionsStable healthy lifestyle trajectory was associated with a reduced risk of MetS among Korean adults. Furthermore, a higher total lifestyle change score was inversely associated with the risk of MetS.

Plant-Based Dietary Protein Is Associated with Lower Metabolic Syndrome Risk in Division III Female Athletes: A Pilot Study

Background: College athletes are often overlooked for metabolic syndrome (MetS), as their increased physical activity is assumed to reduce their disease risk. However, energy or macronutrient imbalance has been shown to increase risk independent of activity. The purpose of this investigation was to assess the current dietary habits of Division III female athletes and determine their associations with body composition and MetS. Secondly, we sought to determine whether dietary intake and dietary protein source (i.e., animal- and plant-based, ABP and PBP) and quality were associated with MetS, as estimated by the Simple Method for Quantifying Metabolic Syndrome (siMS) score and the siMS risk score, and whether protein pacing was associated with body composition in Division III female athletes. Methods: Stepwise linear regression determined whether age (years), body mass (kg), body mass index (BMI; kg/m2), ABP (g/d), PBP (g/d), ABP:PBP, ratio of high-quality to low-quality ABP (ABP QR), relative energy intake (kcal/kg/d), and relative protein, carbohydrate, and fat intake (g/kg/d) were predictors of siMS score and siMS risk score. Results: Twenty-five athletes (19.6 ± 1.3 years; 65.9 ± 7.0 kg; 23.5 ± 2.0 kg/m2; ABP 71.7 ± 28.2 g/d; PBP 30.0 ± 12.2 g/d) were included in the analyses. An inverse relationship was observed between PBP and the siMS score (F1, 22 = 5.498, p = 0.028) and siMS risk score (F1, 22 = 7.614, p = 0.011). The models explained 20% and 26% of the variance in siMS score and siMS risk score, respectively. Conclusions: PBP was associated with lower MetS risk in Division III female athletes, while ABP, regardless of quality, was unrelated. These associations were independent of physical activity in this cohort of Division III female athletes.

Assessment of heart rate measurements by commercial wearable fitness trackers for early identification of metabolic syndrome risk

Metabolic syndrome increases the risks of cardiovascular diseases, type 2 diabetes, and certain cancers. The early detection of metabolic syndrome is clinically relevant, as it enables timely and targeted interventions. In the current study, we aimed to investigate the association between metabolic syndrome and heart rate measured using wearable devices in a real-world setting and compare this association with that for clinical resting heart rate. Data from 564 middle-aged adults who wore wearable devices for at least 7 days with a minimum daily wear time of 20 h were analyzed. The results showed significantly elevated all-day, sleeping, minimum, and inactive heart rates in men with pre-metabolic or metabolic syndrome compared with those in normal individuals, whereas sleeping heart rate and heart rate dips were significantly increased and decreased, respectively, in women with metabolic syndrome. After adjusting for confounders, every 10-beats-per-minute increment in all-day, sleeping, minimum, and inactive heart rates in men corresponded to odds ratios of 2.80 (95% confidence interval 1.53–5.44), 3.06 (1.57–6.40), 4.21 (1.87–10.47), and 3.09 (1.64–6.29), respectively, for the presence of pre-metabolic or metabolic syndrome. In women, the association was significant only for heart rate dips (odds ratio = 0.49 [95% confidence interval 0.25–0.96] for every 10% increment). Models incorporating inactive or minimum heart rate in men and heart rate dip in women demonstrated better fits, as indicated by lower Akaike information criterion values (170.3 in men and 364.9 in women), compared with models that included clinical resting heart rate (173.4 in men and 369.1 in women). These findings suggest that the heart rate indices obtained from wearable devices may facilitate early identification of metabolic syndrome.

Excess dietary sugar and its impact on periodontal inflammation: a narrative review.

Sugar is omnipresent in the current food environment and sugar consumption has drastically risen over the past century. Extensive evidence highlights the negative health consequences of consuming excess dietary sugars, leading the World Health Organization (WHO) and the American Heart Association (AHA) to devise guidelines to restrict sugar intake. According to the WHO's Global Oral Health Status Report of 2022, oral diseases and severe periodontitis are a massive public health problem, and dietary sugars are a modifiable risk factor. We conducted a literature review using key databases to summarise the health effects of excessive sugar consumption and their potential role in periodontal inflammation. Available evidence suggests that excess dietary fructose and sucrose can cause low-grade systemic inflammation; and induce dysbiosis in both gut and the oral microbiota. Also, dietary sugar is potentially addictive and hypercaloric and its overconsumption can lead to obesity, metabolic syndrome, and other risk factors for periodontal inflammation. Hence, an unbalanced diet with excess dietary sugars holds the potential to initiate and aggravate periodontal inflammation. In the modern food environment that enables and facilitates a high-sugar diet, adopting a diverse diet and restricting sugar intake according to WHO and AHA guidelines seem beneficial to systemic and periodontal health. Since clinical evidence is limited, future research should study the effectiveness of dietary interventions that control sugar consumption in preventing and managing the global public health problem of periodontal inflammation.

The Influence of Physical Activity and Diet Mobile Apps on Cardiovascular Disease Risk Factors: Meta-Review.

The literature on whether physical activity (PA) and PA and diet (PA+Diet) mobile apps improve cardiovascular disease (CVD) risk factors is promising. The aim of this meta-review is to provide an evidence synthesis of systematic reviews and meta-analyses examining the influence of PA and PA+Diet apps on the major CVD risk factors. We systematically searched 5 databases until January 12, 2022. Included systematic reviews and meta-analyses (1) reported the CVD risk factor outcomes of BMI, waist circumference, body weight, blood pressure (BP), hemoglobin A1c (HbA1c), fasting blood glucose, blood lipids, or PA; (2) enrolled healthy participants ≥18 years who may or may not have the metabolic syndrome, diabetes mellitus, or preexisting CVD risk factors; (3) reviewed PA or PA+Diet app interventions integrating behavioral change techniques (BCT) to deliver their information; and (4) had a nonapp control. In total, 17 reviews (9 systematic reviews and 8 meta-analyses) published between 2012 and 2021 qualified. Participants were middle-aged, mostly women ranging in number from 10 to 62,219. Interventions lasted from 1 to 24 months, with the most common behavioral strategies being personalized feedback (n=8), self-monitoring (n=7), and goal setting (n=5). Of the PA app systematic reviews (N=4), the following CVD risk factors improved: body weight and BMI (n=2, 50%), BP (n=1, 25%), HbA1c (n=1, 25%), and blood lipids (n=1, 25%) decreased, while PA (n=4, 100%) increased. Of the PA+Diet app systematic reviews (N=5), the following CVD risk factors improved: body weight and BMI (n=3, 60%), BP (n=1, 20%), and HbA1c (n=3, 60%) decreased, while PA (n=3, 60%) increased. Of the PA app meta-analyses (N=1), the following CVD risk factors improved: body weight decreased (-0.73 kg, 95% CI -1.45 to -0.01; P=.05) and PA increased by 25 minutes/week (95% CI 0.58-1.68; P<.001), while BMI (-0.09 kg/m2, 95% CI -0.29 to 0.10; P=.35) and waist circumference (-1.92 cm, 95% CI -3.94 to 0.09; P=.06) tended to decrease. Of the PA+Diet app meta-analyses (n=4), the following CVD risk factors improved: body weight (n=4, 100%; from -1.79 kg 95% CI -3.17 to -0.41; P=.01 to -2.80 kg 95% CI -4.54 to -1.06, P=.002), BMI (n=1, 25%; -0.64 kg/m2, 95% CI -1.09 to -0.18; P=.01), waist circumference (n=1, 25%; -2.46 cm, 95% CI -4.56 to -0.36; P=.02), systolic/diastolic BP (n=1, 25%; -4.22/-2.87 mm Hg, 95% CI -6.54 to -1.91/ -4.44 to -1.29; P<.01), and HbA1c (n=1, 25%; -0.43%, 95% CI -0.68 to -0.19; P<.001) decreased. PA and PA+Diet apps appear to be most consistent in improving PA and anthropometric measures with favorable but less consistent effects on other CVD risk factors. Future studies are needed that directly compare and better quantify the effects of PA and PA+Diet apps on CVD risk factors. PROSPERO CRD42023392359; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=392359.

Study protocol for a single-arm pilot trial investigating the feasibility of a multimodal digital technology for managing metabolic syndrome in patients with chronic obstructive pulmonary disease

Individuals diagnosed with Chronic Obstructive Pulmonary Disease (COPD) are exposed to an increased risk of metabolic syndrome (MetS), which negatively affects their health outcomes and quality of life. Lifestyle interventions have shown promise in managing MetS. This study outlines the protocol for a web-based multimodal self-care program, Digital Metabolic Rehabilitation, for managing MetS in patients with COPD. The Digital Metabolic Rehabilitation is a single-arm pilot trial that integrates the Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) Program and a web-based wellness platform. The web-based wellness platform employed in this study is My Viva Plan (MVP)®, which integrates a holistic, multicomponent approach to promote wellness. The intervention will primarily focus on lifestyle changes for patients with COPD. Over 6 months, participants will use the web-based wellness platform and engage in weekly online support group sessions. Fifty patients diagnosed with stage I-II COPD and MetS will participate. Blood tests, anthropometrics, body composition, physical function, muscle strength, physical activity, energy metabolism, quality of life and mental health will be assessed at baseline, 3, and 6 months. The Digital Metabolic Rehabilitation program aims to explore whether a multimodal integrative intervention delivered through a web-based wellness platform can be implemented by patients with COPD with MetS. By combining the expertise of the CHANGE Program with the digital delivery format, the intervention seeks to enhance self-monitoring and foster better self-management practices. The protocol outlines a novel and potentially impactful intervention for managing MetS in patients with COPD.

Association of the Number of Concurrent Metabolic Syndrome Risk Factors with Textbook Outcomes Following Liver Resection for Patients with Hepatocellular Carcinoma: A Multicenter Study.

There is little information regarding the impact of the number of concurrent metabolic syndrome (MetS) risk factors on the textbook outcomes (TO) in patients with hepatocellular carcinoma (HCC) following liver resection. Data from patients who underwent liver resection between 2015 and 2023 in a multicenter database were retrospectively reviewed (N = 3156). According to the guidelines, MetS risk factors include obesity, hypertension, diabetes, and dyslipidemia. In this study, 2056 (65.1%) patients achieved TO. The incidence of TO was 63.1% in patients with ≥ 1 MetS risk factor, which was lower than that in patients without any MetS risk factors (67.5%, P = 0.011). As the number of MetS risk factors increased, the probability of not achieving TO gradually increased. The non-TO rates in patients with no, 1, 2, and ≥ 3 MetS risk factors were 32.5%, 35.9%, 37.6% and 40.2%, respectively (Ptrend = 0.005). Multivariate logistic regression confirmed that the number of MetS risk factors (0 as a reference; 1, OR 1.220, 95% CI 1.029-1.447, P = 0.022; 2, OR 1.397, 95% CI 1.113-1.755, P = 0.004; ≥ 3, OR 1.647, 95% CI 1.197-2.264, P = 0.002) independently contributed to non-TO in patients with HCC after liver resection. Both the 5-year recurrence-free survival (TO: 50.7% versus non-TO: 43.9%, P < 0.001) and overall survival rates (TO: 71.0% versus non-TO: 58.7%, P < 0.001) of TO patients were significantly better than those of non-TO patients. Concurrent MetS risk factors can adversely impact TO achievement in patients with HCC after liver resection. The more risk factors patients have, the less likely they are to achieve TO.

Exploring Nutritional Status and Metabolic Imbalances in Children with FASD: A Cross-Sectional Study.

Malnutrition is a significant concern in paediatric populations, particularly among children with neurodevelopmental disorders such as foetal alcohol spectrum disorder (FASD). This study aimed to examine macronutrient and micronutrient imbalances and assess the nutritional status of a group of patients with FASD. This study involved an analysis of the serum levels of key nutrients in a group of children diagnosed with FASD. Macronutrients and micronutrients were measured to identify any imbalances, including vitamin D, B12, E, A, albumin, and serum protein, among others. The study found a high prevalence of vitamin D deficiency among the patients. Additionally, elevated serum concentrations of micronutrients such as vitamin B12, E, and A were observed in 8%, 7%, and 19% of patients, respectively. Macronutrient imbalances were noted, including high levels of albumin and serum protein, indicating a possible metabolic disturbance. Unexpectedly, high rates of hypercholesterolemia were observed, raising concerns about an increased risk of metabolic syndrome in this population. These findings suggest that the principal issue among patients with FASD is an altered metabolism rather than nutritional deficiencies. Potential causes of these abnormalities could include oxidative stress and changes in body composition. The results underline the need for further research to better understand the unique nutritional challenges in children with FASD and to guide the development of targeted therapeutic strategies.

Association between the Korean Healthy Diet Score and Metabolic Syndrome: Effectiveness and Optimal Cutoff of the Korean Healthy Diet Score.

Although the prevalence of metabolic syndrome has increased among Koreans, the specific health benefits of the Korean Healthy Diet score remain unexplored. This study aimed to evaluate the association between the Korean Healthy Diet score and metabolic syndrome and to identify the optimal cutoff of the Korean Healthy Diet score for reducing metabolic syndrome prevalence. This cross-sectional study used data from 11,403 participants of the seventh and eighth Korea National Health and Nutrition Examination Survey. The Korean Healthy Diet score was calculated based on adherence to 13 dietary components. A logistic regression analysis was used to determine the association between the Korean Healthy Diet score and metabolic syndrome, as well as to identify the optimal cutoff values for the Korean Healthy Diet score. The average Korean Healthy Diet score was significantly lower in participants with metabolic syndrome than in those without metabolic syndrome (5.03 vs. 5.14, p = 0.016). A one-point increase in the Korean Healthy Diet score was associated with a reduction in metabolic syndrome prevalence (odds ratio: 0.95, 95% confidence interval: 0.91-0.98). The optimal cutoff for the Korean Healthy Diet score was identified as >7 points, particularly showing significantly decreased prevalence of hypertriglyceridemia and low high-density lipoprotein cholesterol. The Korean Healthy Diet score was inversely associated with metabolic syndrome prevalence, and the identified optimal cutoff values can serve as a practical tool for public health interventions aimed at reducing the risk of metabolic syndrome.

6711 Single Nuclei RNA-seq To Map Adipose Cellular Populations And Senescent Cells In Response To A Lifestyle Or Senolytic Intervention In Older Adults With Obesity: A Double-Blind, Placebo-Controlled, Randomized Trial

Abstract Disclosure: A. Aslamy: None. G. Connolly: None. J. Nie: None. S. Espinoza: None. M. Serra: None. N. Musi: None. It is well established that obese and older individuals are at significantly increased risk for diabetes and metabolic syndrome. However, the underlying molecular mechanisms by which increased adiposity and aging predisposes individuals to metabolic disease are not well understood. Recent data suggests that variations in adipocyte cellular populations and subpopulations influence whole body metabolism. Particularly, an increased burden of adipocyte senescent cells (cells that are in a state of replicative arrest) have been implicated in metabolic diseases. To investigate the relationship between adipose molecular signatures and cellular senescence on metabolic outcomes, we will use a novel, high-throughput, high-resolution methodology called single nuclei RNA sequencing (SnRNA-seq) to develop a transcriptomic atlas of human adipose tissue and analyze molecular profiles before and after interventions of lifestyle vs. senolytic vs. placebo. We will recruit a cohort of older obese participants (≥65 years of age; BMI = 30-39.9 kg/m2; n = 72), and conduct a double-blinded, placebo-controlled, randomized trial in which we obtain adipose biopsies to analyze cellular/molecular profiling via snRNA-seq as it relates to phenotypic measures of insulin sensitivity, glucose tolerance, beta cell function, and hepatic lipid content compared to cohorts of younger lean (18-30 years of age; BMI = 18.5-24.9 kg/m2; n = 24) and older lean (≥65 years of age; BMI = 18.5-24.9 kg/m2; n = 24) participants. Older obese participants will be randomized to one of three groups for a 10-week period: lifestyle (diet- and exercise-induced weight loss of 8-10% of body mass), senolytic (dasatinib and quercetin), or placebo. Repeat adipose biopsies and metabolic testing will be analyzed before and after intervention to assess potential changes in gene expression and associated phenotypic measures. Inclusion criteria for the older obese participants are the following: ≥65 years of age, BMI 30-39.9 kg/m2, any sex, race and ethnic group, sedentary (≤1.5h of exercise per week), and nondiabetic. Exclusion criteria include history of diabetes, participation in structured exercise &amp;gt;1.5h per week, chronic inflammatory/neurologic/autoimmune/pulmonary disorders, GI or heart disease, use of anti-arrhythmic or weight altering medications, smoking/alcohol use, previous bariatric surgery, and use of/allergy to senolytic agents. Preliminary snRNA-seq analyses of adipose biopsies from our pilot study with non-diabetic participants identified cells with elevated expression of positive regulators of senescence (CDKN1A, CDKN2A, ARG2); notably, one subpopulation of senescent adipocytes, termed NewA1, was increased with higher BMI. Overall, the findings from this study may help us gain better understanding of the aging process and identify potential molecular targets for prevention of metabolic disease. Presentation: 6/1/2024

Metabolic Syndrome, Thyroid Dysfunction, and Cardiovascular Risk: The Triptych of Evil

The triad formed by thyroid dysfunction, metabolic syndrome (MetS), and cardiovascular (CV) risk forms a network with many connections that aggravates health outcomes. Thyroid hormones (THs) play an important role in glucose and lipid metabolism and hemodynamic regulation at the molecular level. It is noteworthy that a bidirectional association between THs and MetS and their components likely exists as MetS leads to thyroid dysfunction, whereas thyroid alterations may cause a higher incidence of MetS. Thyroid dysfunction increases insulin resistance, the circulating levels of lipids, in particular LDL-C, VLDL-C, and triglycerides, and induces endothelial dysfunction. Furthermore, THs are important regulators of both white and brown adipose tissue. Moreover, the pathophysiological relationship between MetS and TH dysfunction is made even tighter considering that these conditions are usually associated with inflammatory activation and increased oxidative stress. Therefore, the role of THs takes place starting from the molecular level, then manifesting itself at the clinical level, through an increased risk of CV events in the general population as well as in patients with heart failure or acute myocardial infarction. Thus, MetS is frequently associated with thyroid dysfunction, which supports the need to assess thyroid function in this group, and when clinically indicated, to correct it to maintain euthyroidism. However, there are still several critical points to be further investigated both at the molecular and clinical level, in particular considering the need to treat subclinical dysthyroidism in MetS patients.

Gene-diet interactions in carbonated sugar-sweetened beverage consumption and metabolic syndrome risk: A machine learning analysis in a large hospital-based cohort

Background and aimCarbonated sugar-sweetened beverages (CSSB) intake has been increasingly linked to metabolic diseases. To investigate the association between CSSB intake and metabolic syndrome (MetS) risk, and the interaction between genetic predisposition to CSSB intake and dietary patterns. MethodsWe examined a hospital-based cohort of 57,940 participants, categorized into low-CSSB (n=52,848) and high-CSSB (n=5,092) groups based on a 50 ml daily consumption cutoff. A genome-wide association study (GWAS) identified single-nucleotide polymorphisms (SNPs) associated with CSSB intake, and SNP-SNP/SNP-environment interactions were explored. Using XGBoost and deep neural network (DNN) approaches, we developed prediction models for CSSB intake. ResultsThe low- and high-CSSB groups daily consumed an average of 0.56 and 8.91 g sugar from the soda, respectively. The high-CSSB group had unhealthy dietary habits and a lower intake of carotenoids, folate, vitamins C and D, calcium, flavonoids, and phenols than the low-CSSB group, consistent with the results of the prediction models. A polygenic risk score (PRS) based on 6 selected SNPs, linked to genes involved in obesity, diabetes, and nervous system disorders, showed the strongest association with CSSB intake and insulin resistance. Notably, carbohydrate, fat, and Western-style diet (WSD) intake interacted with the PRS, with lower carbohydrate and higher fat and WSD intakes associated with a stronger PRS-sugar intake relationship. The prediction models by XGboost and DNN mainly included dietary factors to explain CSSB intake. ConclusionsA significant interplay between genetic predisposition and poor dietary habits, particularly increased CSSB intake associated with WSD, contributed to MetS risk. It suggested that personalized dietary interventions based on genetic profiles could mitigate MetS risk, especially in populations transitioning to Westernized diets.