Search

Purpose: Previous literature has demonstrated the mediating role of adiposity in the association between cardiorespiratory fitness (CRF) and cardiometabolic risk as well as the potential role of CRF in attenuating the adverse consequences associated with excess weight. This study aimed to evaluate the mediating role of CRF and adiposity in the possible association with cardiometabolic risk. Method: Observational 3-year longitudinal study that included 420 children and adolescents (10.50 [2.05] y of age at baseline; 56.2% girls). Body mass index (BMI) was calculated, and CRF was evaluated using field assessments. A clustered cardiometabolic risk score (cMetS) was calculated from glucose, systolic blood pressure, total cholesterol/high-density lipoprotein cholesterol ratio, and triglycerides z scores. Analyses evaluated the mediating role of BMI in the association between CRF and cMetS as well as whether CRF mediated the association between BMI and cMetS. Results: BMI at baseline was directly associated with the cMetS at follow-up (0.102; 95% confidence interval, 0.020 to 0.181), independently of CRF, whereas CRF was only indirectly associated with cMetS at follow-up through BMI (−0.036; 95% confidence interval, −0.070 to −0.009), meaning that the association between CRF and cMetS was explained via the mediation role of BMI. Conclusions: BMI presented direct association with cMetS, whereas CRF exhibited indirect association with cMetS mediated via BMI. [ABSTRACT FROM AUTHOR]

The aim of this study was to assess the sleep status of middle-aged and elderly adults in Bengbu City, Anhui Province, China, to identify the major dietary patterns, and to analyze the association of different sleep duration and dietary patterns with metabolic syndrome (MetS) and its related influencing factors, as well as to explore the predictive value of sleep duration and dietary patterns. A cross-sectional analysis was performed utilizing data collected from the Community-based Cardiovascular and Health Promotion Study 2019 (COCHPS 2019) conducted in Bengbu. The definition of MetS adhered to the criteria of Guidelines for the Prevention and Treatment of Dyslipidemia in Chinese Adults (2016 Revision). Dietary information was obtained using the Food Frequency Questionnaire (FFQ) to assess dietary intake over the past year. Principal component analysis (PCA) was performed to identify dominant dietary patterns. A logistic regression model was developed to analyze the associations among sleep duration, dietary patterns, and MetS, and a decision tree (DT) model was developed to compare factors affecting MetS and screen people at high risk for MetS. The prevalence of MetS was 13.4% among the 9132 middle-aged and elderly residents over 45 years of age included in COCHPS 2019. Participants were divided into short (< 6 h/d), normal (6–8 h/d), and long (> 8 h/d) groups based on their daily sleep duration. Three dietary patterns were identified by PCA, the fruit-milk pattern, the tubers-meat pattern, and the vegetable-cereal pattern. After adjusting for covariables, logistic regression analysis showed that long sleep duration was significantly negatively associated with MetS. The fruit-milk and vegetable-cereal patterns were negatively associated with MetS, whereas the tubers-meat pattern was positively correlated with MetS. The results of the DT model analysis showed that the vegetable-cereal pattern is the most important factor impacting MetS, followed by marital status, the tubers-meat pattern, the fruit-milk pattern, exercise, sleep duration, and gender. The DT model also screened out five types of MetS high-risk groups. The results of our study indicate that normal sleep duration and consumption of either a fruit-milk or vegetable-cereal diet may lower the likelihood of developing MetS in middle-aged and elderly adults. [ABSTRACT FROM AUTHOR]

Background: This study utilized large-scale population data from the National Health and Nutrition Examination Survey (NHANES) to elucidate the relationship between the Klotho protein and metabolic syndrome along with its components. We further investigated the possible mediating effect of inflammation on these relationships. Our objective was to identify biomarkers for risk stratification and potential therapeutic targets for metabolic syndrome. Methods: This study enrolled 13,119 participants aged 40–79 years, spanning five NHANES cycles from 2007 to 2016, with complete information on metabolic syndrome and the Klotho protein. The definition of metabolic syndrome followed the criteria of the National Cholesterol Education Program-Adult Treatment Panel III. Survey-weighted logistic regression and subgroup analysis were used to explore the associations between serum Klotho protein levels and metabolic syndrome, along with its components. Mediation analysis was performed to investigate the mediating effects of inflammation-related markers, including white blood cells, neutrophils, lymphocytes, monocytes, the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the systemic immune-inflammation index (SII) and the monocyte-to-HDL ratio (MHR), with the aim of elucidating how the Klotho protein influences the onset and progression of metabolic syndrome. Results: The study participants had an average age of 56.06 years (95% CI: 55.76–56.37), with a Klotho protein concentration of 798.10 pg/ml (95% CI: 656.50–980.50) and a 43.77% prevalence of metabolic syndrome (n = 5742). In the crude model, Klotho was negatively correlated with metabolic syndrome and its components, including central obesity, hypertension, and hypertriglyceridemia. After adjusting for all confounding factors, Klotho was demonstrated to be negatively associated only with metabolic syndrome (OR: 0.82, 95% CI: 0.70–0.97), hypertension (OR: 0.83, 95% CI: 0.70–0.98), and hypertriglyceridemia (OR: 0.78, 95% CI: 0.67–0.91). Subgroup and interaction analyses revealed significant interactions between age, sex, race/ethnicity, body mass index, and Klotho. Additionally, mediation analysis demonstrated that leukocytes, neutrophils and monocytes accounted for 34.78%, 31.91% and 7.13%, respectively, of the associations between Klotho and metabolic syndrome. Conclusion: The serum concentration of Klotho protein was negatively associated with metabolic syndrome, with the relationship being partly mediated by systemic immune inflammation. The findings of this research revealed that the Klotho protein may be a valuable biomarker for risk stratification and a potential therapeutic target for metabolic syndrome. [ABSTRACT FROM AUTHOR]

Objective: To explore the association between the Oxidative Balance Score (OBS), which represents the balance of multiple oxidative stress-related dietary and lifestyle exposures, and the risk of metabolic syndrome (MetS). Methods: A population-based cross-sectional study design was adopted and 16,850 participants in NHANES database were included in the statistics analysis stage. The OBS was constructed by combining information from 20 a priori selected pro- and antioxidant factors. Weighted logistic regression and restricted cubic splines (RCS) were used to estimate the association between OBS and MetS. Results: Participants in the highest OBS quartile, indicating low oxidative stress (OS) levels, exhibited a significantly lower risk of MetS (odds Ratio [OR] = 0.55, 95% confidence Interval [CI]: 0.47–0.64) compared to the lowest quartile. Specifically, higher OBS was inversely associated with abdominal obesity (OR = 0.61, 95% CI: 0.54–0.69), hypertension (OR = 0.69, 95% CI: 0.58–0.83), elevated triglycerides (OR = 0.68, 95% CI: 0.57–0.82), low high-density lipoprotein cholesterol (HDL-C) levels (OR = 0.60, 95% CI: 0.50–0.70) and fasting blood glucose (FBG) levels (OR = 0.74, 95% CI: 0.62–0.88). The observed inverse association between OBS and hypertension or FBG levels appeared to primarily influenced by BMI. The association between dietary OBS intervals and elevated FBG levels was not statistically significant in men, whereas the risk was lower by 25% in women. Conclusions: A higher OBS, representing a balance of multiple oxidative stress-related dietary and lifestyle exposures, is associated with a lower risk of MetS. Therefore, adhering to an antioxidant diet and lifestyle may help prevent the occurrence of metabolic disorders. [ABSTRACT FROM AUTHOR]

The objective of our study is to measure perirenal fat thickness using MRI in individuals with steatotic liver disease and investigate the relationship between perirenal fat thickness and metabolic syndrome. This retrospective study included consecutive patients with steatotic liver disease who underwent magnetic resonance imaging-proton density fat fraction from October 2018 to February 2020. Among them, patients with crossed fused kidneys or who underwent nephrectomy were excluded. The metabolic abnormalities were reviewed; presence of hypertension, type 2 diabetes, abdominal circumference, triglyceride, and high-density lipoprotein. Perirenal fat was measured in four directions in both kidneys and the total sum of them was calculated. A total of 250 patients (140 males and 110 females) were included. Perirenal fat thickness showed a moderate correlation with waist circumference, creatinine, and hepatic fat fraction (all p < 0.001). Perirenal fat thickness was significantly higher in patients with metabolic syndrome than in patients without (76.8 mm vs. 65.1 mm, p = 0.004). In multivariable regression analysis, the group with high perirenal fat thickness had as significantly higher odd ratio of 2.71 compared to the low group. The perirenal fat thickness is independently associated with metabolic syndrome in patients with steatotic liver disease. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the impact of physical activity indicators monitored by the POLAR accelerometer on body obesity indicators, metabolic syndrome parameters, and energy metabolism hormones in postmenopausal women. Was included 71 participants from this study program (68.8 ± 4.3 years). We divided participants into LPA and MVPA groups based on their level of moderate to vigorous physical activity per week; Physical activity levels over 7 days were assessed using a POLAR accelerometer, with daily step counts and sedentary time recorded. Measurements included waist circumference, visceral fat volume, body fat percentage, blood pressure, fasting blood glucose, triglyceride levels, HDL cholesterol, and energy metabolism hormone levels (leptin, resistin, adiponectin). The MVPA group displayed lower waist circumference, body fat percentage, abdominal fat, and BMI compared to the LPA group (p < 0.05). A significant negative correlation was observed between daily step count and obesity indicators, including waist circumference (r = -0.301), body fat percentage (r = -0.295), abdominal fat (r = -0.318), and BMI (r = -0.238). Conversely, sedentary time showed a positive correlation with obesity indicators such as waist circumference (r = 0.258), body fat percentage (r = 0.239), and abdominal fat (r = 0.244). Moreover, daily step count exhibited a significant negative correlation with leptin levels (r = -0.245), while sedentary time was positively correlated with the energy metabolic factor leptin (r = 0.279). Waist circumference demonstrated significant positive correlations with triglycerides, blood glucose, adiponectin, resistin, and leptin levels. Postmenopausal women who engage in at least 150 min of MVPA weekly show lower obesity indices. There is a significant correlation between physical activity levels and obesity indicators, which relate to metabolic syndrome and energy metabolism factors. Thus, increased physical activity may help prevent metabolic syndrome and cardiovascular diseases in this population. [ABSTRACT FROM AUTHOR]

Objective: To investigate the effects of multiple stress events in different stages of life on the incidence of metabolic syndrome (MetS). Methods: Miners from Tangshan, China, were recruited for this study. Workers of the Kailuan Mining Group were evaluated to investigate whether exposure to Tangshan earthquakes during the fetal period in 1976. Adult life events and childhood trauma were assessed separately via the Life Event Scale and Childhood Trauma Questionnaire. The subjects were physically examined and general demographic data such as waist circumference were collected. Blood samples were collected for measurement of metabolic parameters. Corticotropin releasing hormone(CRH) levels was measured by enzyme-linked immunosorbent assay (ELISA). The subjects were divided into four groups according to their exposure to traumatic events in different stages of life: no exposure group, 1-exposure group, 2-exposures group, and 3-exposures group. The incidence of MetS, metabolic parameters and CRH levels in each of the four groups was compared. Results: In all, 626 people were enrolled; of these, 183, 262, 150, and 31 were in the no exposure, 1-exposure, 2-exposures, and 3-exposure groups, respectively. A remarkable variation in the incidence of MetS was observed among the four groups (x2 = 16.462, P <0.001). MetS incidence increased with the increasing number of traumatic events, except for in the no exposure group (17.9% in 1-exposure group, 24.7% in 2-exposure group, and 48.4% in the 3-exposure group). Multivariate logistic regression analysis showed that exposure to multiple stress during the fetal, childhood, and adult stages of life represent independent risk factors for developing MetS (OR =3.134, 95%CI =1.042–9.429). Smoking increased the risk of developing MetS (OR =1.809, 95%CI =1.140–2.871). Conclusions: Exposure to multiple traumatic events in distinct life stages increases the risk of developing MetS. Smoking is a risk factor for developing MetS. [ABSTRACT FROM AUTHOR]

Alzheimer's disease, the most common form of dementia among older adults, slowly destroys memory and thinking skills. In recent years, scientists have made tremendous progress in understanding Alzheimer's disease, still, they do not yet fully understand what causes the disease. This article proposes a novel etiology for Alzheimer's disease. Our hypothesis developed from a review of nuclear medicine scans, in which the authors observed a significant increase in nasal turbinate vasodilation and blood pooling in patients with hypertension, sleep apnea, diabetes and/or obesity, all risk factors for Alzheimer's disease. The authors propose that nasal turbinate vasodilation and resultant blood pooling lead to the obstruction of normal nasal lymphatic clearance of cerebrospinal fluid and its waste products from the brain. The nasal turbinate vasodilation, due to increased parasympathetic activity, occurs alongside the well-established increased sympathetic activity of the cardiovascular system as seen in patients with hypertension. The increased parasympathetic activity is likely due to an autonomic imbalance secondary to the increase in worldwide consumption of highly processed food associated with dysregulation of the glucose regulatory system. The authors' hypothesis offers a novel mechanism and a new paradigm for the etiology of Alzheimer's disease and helps explain the rapid worldwide rise in the disease and other dementias which are expected to double in the next 20 years. This new paradigm provides compelling evidence for the modulation of the parasympathetic nervous system as a novel treatment strategy for Alzheimer's disease and other degenerative brain diseases, specifically targeting nasal turbinate lymphatic flow. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome (MetS) is associated with a high risk of endometrial cancer (EC). However, its impact on EC progression remains unclear. This meta-analysis examined the association between MetS and survival outcomes in EC patients. Methods: A comprehensive search of PubMed, EMBASE, and Web of Science databases up to May 22, 2024, was conducted. Two independent reviewers performed study selection, data extraction, and quality assessment. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using a random effects model. Results: Nine studies comprising 13,579 endometrial cancer (EC) patients were included. Among these, 2,896 patients (21.3%) had MetS at the time of enrollment. The follow-up durations ranged from 3.4 to 14.2 years. The results showed that EC patients with MetS at baseline demonstrated significantly poorer overall survival (HR = 1.57, 95% CI = 1.19-2.07, p = 0.002; I² = 25%) and progression-free survival (HR = 1.33, 95% CI = 1.08-1.63, p = 0.007; I² = 16%). A similar association was observed for cancer-specific survival (HR = 1.26, 95% CI = 1.10-1.44, p = 0.001; I² = 0%). Subgroup analyses based on study characteristics showed consistent results across studies conducted in countries with different follow-up durations. Conclusion: This meta-analysis suggests that MetS is associated with poor survival outcomes in EC patients. Further prospective studies are required to validate our findings. Systematic review registration: PROSPERO, identifier CRD42024561654. [ABSTRACT FROM AUTHOR]

Background: Little is known about the cardiorespiratory fitness (CRF)‐cardiometabolic risk relationship in Latin American pediatric populations across different age/sex groups, especially when considering the potential effects of adiposity on the association. We evaluated cross‐sectional associations between VO2max and cardiometabolic risk variables (CMRV), and verified whether the associations were independent of adiposity markers in school‐aged children and adolescents from Cali, Colombia. Methods: The sample consisted of 1206 children aged 5–17 years. CMRV were fasting glucose, HDL and LDL cholesterol, triglycerides, systolic, and diastolic pressure. Logistic regressions were conducted for associations of age/sex‐specific tertiles of VO2max with age/sex‐specific highest tertiles of CMRV (except HDL‐C, lowest tertile) and a CMR cluster (> 2 CMRV in extreme tertiles), adjusting for socioeconomic stratum, and adiposity markers (BMI, body fat percentage, and waist circumference). Results: Overweight/obesity ranged from 15% to 18% with no difference by sex. In children aged 5–11 years, high VO2max (highest tertile vs. lowest) was inversely associated with the CMR cluster [Odds ratio (95% confidence interval): 0.18 (0.06–0.47), p < 0.05] independently of adjustment for any adiposity marker in boys but not in girls. In the age group of 12–17 years, there were initially significant VO2max‐ CMR cluster and VO2max‐ CMRV associations but attenuated by adiposity adjustment. In girls, high VO2max was inversely associated with high systolic blood pressure regardless of adjustment for adiposity markers. Conclusion: VO2max is inversely associated with cardiometabolic risk, but adiposity influences the association. The adiposity‐independent association among younger boys requires further research. Interventions to tackle cardiometabolic risk in childhood may primarily focus on reducing excess adiposity, and secondarily on improvement of CRF. [ABSTRACT FROM AUTHOR]

Intracellular levels of NAD+ regulate metabolism, among other ways, through enzymes that use NAD+ as a substrate, capable of inducing catabolic processes, such as lipid oxidation, glucose uptake, and mitochondrial activity. In several model organisms, administering precursor compounds for NAD+ synthesis increases its levels, improves lipid and glucose homeostasis, and reduces weight gain. However, evidence of the effects of these precursors on human patients needs to be better evaluated. Therefore, we carried out a systematic review and meta-analysis of randomized clinical trials that assessed the effects of NAD+ precursors on Metabolic Syndrome parameters in humans. We based our methods on PRISMA 2020. Our search retrieved 429 articles, and 19 randomized controlled trials were included in the meta-analysis. We assessed the risk of bias with the Rob 2 algorithm and summarized the quality of evidence with the GRADE algorithm. Supplementation with NAD+ precursors reduced plasma levels of total cholesterol and triglycerides in volunteers, but the intervention did not significantly affect the other outcomes analyzed. Three of the included articles presented a high risk of bias. The quality of evidence varied between very low and low due to the risk of bias, imprecision, and indirectness. The number of participants in outcomes other than lipidemia is still generally tiny; therefore, more clinical trials evaluating these parameters will increase the quality of the evidence. On the other hand, quality randomized studies are essential to assess better the effects of NAD+ precursors on lipidemia. [ABSTRACT FROM AUTHOR]

The mineralocorticoid system, comprising the renin-angiotensin-aldosterone system (RAAS) and associated receptors, is traditionally viewed as a regulator of sodium and fluid balance and blood pressure (BP), with the main mineralocorticoid hormone aldosterone acting via the mineralocorticoid receptor (MR) in distal renal tubules. Over the past few decades, there has been a wider understanding of the role of the mineralocorticoid system in regulating both classical BP-dependent and non-BP-dependent systemic effects. Mounting evidence indicates the novel role of the mineralocorticoid system in cardiometabolic health, with excess mineralocorticoid system activity being associated with adiposity, diabetes, insulin resistance and cardiovascular diseases independent of its effect on BP, and RAAS blockade and MR antagonists offering protection against cardiometabolic dysfunction. The metabolic manifestations of mineralocorticoid system overactivation are mainly mediated by their interactions with adipose tissue, which orchestrates energy, lipids, and glucose homeostasis via effects on the functions of brown and white adipocytes and immune cells. Adipose tissue can, in turn, influence mineralocorticoid system activity by harboring its own RAAS system and by releasing mineralocorticoid-secretory factors/adipokines, resulting in further progression of cardiometabolic dysfunction. This article discusses the interplay between the mineralocorticoid system and adipose tissue in the pathophysiology of cardiometabolic diseases. [ABSTRACT FROM AUTHOR]

Metabolic syndrome (MetS) increases the risk of coronary artery disease, but effects of this condition on the working myocardium remain to be fully elucidated. In the present study we evaluated the consequences of diet-induced metabolic disorders on cardiac function and myocyte performance using female mice fed with Western diet. Animals maintained on regular chow were used as control (Ctrl). Mice on the Western diet (WesD) had increased body weight, impaired glucose metabolism, preserved diastolic and systolic function, but increased left ventricular (LV) mass, with respect to Ctrl animals. Moreover, WesD mice had reduced heart rate variability (HRV), indicative of altered cardiac sympathovagal balance. Myocytes from WesD mice had increased volume, enhanced cell mechanics, and faster kinetics of contraction and relaxation. Moreover, levels of cAMP and protein kinase A (PKA) activity were enhanced in WesD myocytes, and interventions aimed at stabilizing cAMP/PKA abrogated functional differences between Ctrl and WesD cells. Interestingly, in vivo β-adrenergic receptor (β-AR) blockade normalized the mechanical properties of WesD myocytes and revealed defective cardiac function in WesD mice, with respect to Ctrl. Collectively, these results indicate that metabolic disorders induced by Western diet enhance the cAMP/PKA signaling pathway, a possible adaptation required to maintain cardiac function. [Display omitted] • Metabolic syndrome increases the risk for coronary artery disease. • Obesity and metabolic disorders are coupled with neuro-hormonal alterations. • Metabolic syndrome affects heart rate variability and myocardial contractility. • Western diet induces metabolic syndrome and beta-adrenergic receptors activation. • The cAMP/PKA signaling pathway is activated with metabolic syndrome. [ABSTRACT FROM AUTHOR]

We aimed to examine the association between metabolic syndrome (MetS), depressive symptoms, and health-related quality of life in postmenopausal women. We conducted a descriptive cross-sectional study in naturally postmenopausal women aged 45–65 years using data from the 8th Korea National Health and Nutrition Examination Survey. We classified the participants into four groups: normal (neither MetS nor depressive symptoms), MetS, depressive symptoms, and MetS + depressive symptoms. Compared to the other three groups, the MetS + depressive symptoms group had the worst self-rated health. High fasting glucose, high triglyceride and low high-density lipoprotein-cholesterol levels were the most common in the MetS + depressive symptoms group. After adjusting for covariates, the MetS + depressive symptoms group was more likely to have problems with usual activities and pain/discomfort than the normal group. [ABSTRACT FROM AUTHOR]

Lipid-associated macrophages (LAMs) occur in a broad range of diseased structures and lesions in tissues important for metabolic homeostasis. LAMs can be distinguished from other tissue-resident macrophages by their lipid-handling capacity and expression of specific marker genes (e.g., Trem2 , Gpnmb , and CD36). LAMs exhibit a functional spectrum (with respect to inflammation, lipid handling, and efferocytosis) that can vary depending on metabolic and disease state, location, and microenvironmental needs. LAM pools emerge largely from monocyte-derived precursors, but may also increase in abundance through (re-)polarization and self-renewal. Evidence for the importance of LAMs in metabolic disease justifies ventures into therapeutics that manipulate LAM abundance and phenotypes. Lipid-associated macrophages (LAMs) are phagocytic cells with lipid-handling capacity identified in various metabolic derangements. During disease development, they locate to atherosclerotic plaques, adipose tissue (AT) of individuals with obesity, liver lesions in steatosis and steatohepatitis, and the intestinal lamina propria. LAMs can also emerge in the metabolically demanding microenvironment of certain tumors. In this review, we discuss major questions regarding LAM recruitment, differentiation, and self-renewal, and, ultimately, their acute and chronic functional impact on the development of metabolic diseases. Further studies need to clarify whether and under which circumstances LAMs drive disease progression or resolution and how their phenotype can be modulated to ameliorate metabolic disorders. [ABSTRACT FROM AUTHOR]

• Study protocol of a digital intervention for chronic obstructive pulmonary disease. • Participants engage with digital wellness platforms individually and with online groups for 6 months. • Primary outcome focuses on assessing intervention feasibility by month 6. • The entire intervention is conducted remotely. • The study seeks to inform scalable interventions for metabolic syndrome management. 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. [ABSTRACT FROM AUTHOR]

Purpose: We investigated the effects of a 16-wk combined exercise training on body composition, and metabolic and inflammatory markers in sedentary middle-aged workers. We also assessed whether alterations in metabolic markers were associated with changes in health-related outcomes. Methods: This randomized controlled trial involved 46 participants randomly allocated into control and exercise groups. The exercise group performed 16-wk combined aerobic and resistance training for 75 min per session, 3 times a week. Fasting blood samples were collected at baseline and after 16-wk intervention to determine lipid profile, and metabolic and inflammatory markers as primary outcomes. Results: A total of 36 participants completed the intervention (53.70 ± 6.92 yr old; n = 18 in each group). Waist circumference (interaction effect: F = 7.423, P = 0.002), fat mass (interaction effect: F = 5.070, P = 0.011), and muscle mass (interaction effect: F = 5.420, P = 0.007) were improved in the exercise group compared with the control group. Fasting glucose increased after the 16-wk follow-up (time effect: F = 73.253, P < 0.001), without an intergroup difference. Insulin levels were greater in the control compared with exercise group (group effect: F = 6.509, P = 0.015). The control group tended to increase the homeostatic model assessment of insulin resistance index (interaction effect: F = 3.493, P = 0.070) and to decrease the QUICKI index (interaction effect: F = 3.364, P = 0.075) to a greater extent compared with the exercise group. Exercise group reduced leptin (interaction effect: F = 11.175, P = 0.002) and adiponectin (interaction effect: F = 4.437, P = 0.043) concentrations in a greater magnitude than the control group. Interleukin (IL)-6 (time effect: F = 17.767, P < 0.001) and tumor necrosis factor α (time effect: F = 9.781, P = 0.004) concentrations decreased after the intervention, without an intergroup difference. IL-17A levels increased in the control compared with exercise group (interaction effect: F = 5.010, P = 0.033). Effects on adiponectin, IL-6, and IL-17A levels seem to depend on baseline body mass index, age, and sex. Percentage changes in leptin correlated positively with changes in homeostatic model assessment of insulin resistance index in the exercise (r = 0.565, P = 0.015) and control (r = 0.670, P = 0.002) groups. Conclusions: A combined training program can be an effective strategy to improve body composition and inflammatory markers and prevent marked reductions in insulin sensitivity among middle-aged workers. [ABSTRACT FROM AUTHOR]

Metabolic syndrome (MetS) has become a major public health challenge in recent years. Nuclear magnetic resonance, as a nondestructive measurement, has been widely used in medical diagnosis and screening. Compared to conventional magnetic resonance imaging and nuclear magnetic spectroscopy, low-field nuclear magnetic resonance is superior in portability, simplicity, and low-cost. In this study, a novel approach based on low-field magnetic resonance analysis is proposed to detect metabolic syndrome. T1–T2 correlation relaxometry is employed to measure human serum. Combining with a classification model based on partial least squares discriminant analysis (PLS-DA), the detection of metabolic syndrome is realized. The classification models based on both T1–T2 relaxation correlation data and spectrum are compared. Additionally, classification model based on convolutional neural networks (CNNs) is also evaluated for comparison. The experimental results indicate that the PLS-DA model based on the T1–T2 spectrum achieves a better performance. Specifically, the area under curve, accuracy, F1 score, recall and precision of the classification model evaluated on testing group are 0.784, 70.91%, 75.00%, 77.42%, and 72.73%, respectively. On the other hand, the testing results of CNN model trained using T1–T2 spectrum are 0.774, 65.45%, 61.22%, 48.39%, and 83.33% for AUC, accuracy, F1 score, recall, and precision. The experimental results reveal the limitation of CNN models on small datasets. In this study, T1–T2 correlation relaxometry is employed for the analysis of MetS for the first time, and the feasibility of proposed method has been demonstrated. [ABSTRACT FROM AUTHOR]

Summary: Insulin resistance, defined as an impaired biological response to insulin stimulation in target tissues, arises most frequently in the presence of central obesity. Although obesity is generally associated with increased bone mass, recent data challenge this view and, if complicated by T2DM, obese patients are at high risk for fragility fractures. IR may play a key role in this increased fracture risk through effects on bone quality rather than bone quantity. Further understanding of the mechanisms and approaches to prevent osteoporotic fractures in IR-related diseases is needed. Clinical relevance: The dramatic increase in obesity and metabolic syndrome (MetS) over the last half-century has led to a worldwide epidemic of type 2 diabetes mellitus (T2DM) as well as in the incidence of insulin resistance (IR). IR is defined as an impaired biological response to insulin stimulation in target tissues and is primarily related to the liver, muscle, and adipose tissue. The most frequent underlying cause is central obesity, and it is known that excess abdominal adipose tissue secretes increased amounts of free fatty acids, which directly affects insulin signalling, reduces glucose uptake in muscle, and triggers excessive triglyceride synthesis and gluconeogenesis in the liver. When pancreatic β cells are unable to secrete the higher levels of insulin needed, T2DM, the main complication of IR, occurs. Observations: Although obesity is generally associated with increased bone mass, recent data challenge this view and highlight the multifaceted nature of the obesity-bone relationship. Patients with T2DM are at significant risk for well-known complications of diabetes, including retinopathy, nephropathy, macrovascular disease, and neuropathy, but it is clear that they are also at high risk for fragility fractures. Moreover, recent data provide strong evidence that IR may key role in the increased fracture risk observed in both obesity and T2DM. Conclusions: In this concise review article, the role of IR in increased risk of osteoporotic fractures in MetS, obesity, and T2DM is discussed and summarised, including consideration of the need for fracture risk assessment as a 'preventive measure', especially in patients with T2DM and chronic MetS with abdominal obesity. Personalised and targeted diagnostic and therapeutic approaches to prevent osteoporotic fractures in IR-related diseases are needed and could make significant contributions to health outcomes. [ABSTRACT FROM AUTHOR]

Introduction: The cumulative impact of metabolic syndrome (MetS) components on micro‐ and macrovascular disease in metabolic dysfunction‐associated steatotic liver disease (MASLD) is unclear. We aimed to determine whether the number of the MetS components increases the risk of micro‐ and macrovascular disease in patients with MASLD. Methods: We performed a retrospective cohort study of electronic medical records using the TriNetX network, a global federated database. The exposure arm was patients with hepatic steatosis (defined via International Classification of Diseases, 10th Revision coding, or modified hepatic steatosis index), and ≥1 MetS components (obesity/central adiposity, insulin resistance, hypertension, or dyslipidaemia), compared with a reference arm of adults without any MetS components or hepatic steatosis. Our propensity score matched (1:1) for confounders with 5 years of follow‐up. Primary outcomes included microvascular (peripheral neuropathy, retinopathy, and nephropathy) and macrovascular (cardiovascular events, cerebrovascular accidents, and peripheral vascular disease) disease. Secondary analyses assessed the impact of additional MetS components on these outcomes, as well as the impact of sex. Results: MASLD, defined by hepatic steatosis and insulin resistance (n = 15 937), carried the highest risk of microvascular disease (HR 13.93 (95% CI 8.55–22.68)), whilst MASLD, defined by hepatic steatosis and hypertension (n = 53 028), carried the highest risk of macrovascular disease (7.23 (6.45–8.13)). MASLD with all MetS components carried greatest risk of both micro‐ (31.20 (28.88–33.70) (n = 462 789)) and macrovascular (8.04 (7.33–8.82) (n = 336 010)) disease. Conclusion: We demonstrate a differential effect of MetS components on micro‐ and macrovascular disease risk in patients with MASLD, with a cumulative impact of multiple MetS on overall risk. The impact of MetS components was most pronounced in women. Aggressive metabolic risk factor management is critical for prevention of micro‐ and macrovascular complications. [ABSTRACT FROM AUTHOR]

Summary: Bipolar disorder (BD) is a complex and severe mental illness that causes significant suffering to patients. In addition to the burden of depressive and manic symptoms, patients with BD are at an increased risk for metabolic syndrome (MetS). MetS includes factors associated with an increased risk of atherosclerotic cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM), which may increase the mortality rate of patients with BD. Several studies have suggested a link between BD and MetS, which may be explained at an epigenetic level. We have focused on epigenetic mechanisms to review the causes of metabolic risk in BD. [ABSTRACT FROM AUTHOR]

Aim: Poor cardiorespiratory fitness has been suggested to increase the risk of chronic diseases in obesity. We investigated the ability of key variables from cardiopulmonary exercise testing (CPET) to predict all‐cause mortality in an obese cohort. Methods: The sample included 469 participants of both sexes (mean age 40 ± 13 years) who underwent a CPET for clinical reasons between 1 March 2009 and 1 December 2023. All‐cause mortality was the prognostic endpoint. A receiver operating characteristic analysis was performed to establish optimal cut‐points for CPET variables. Kaplan–Meier and Cox regression analyses were used to determine the association between CPET variables and all‐cause mortality. Results: There were 46 deaths during a mean follow‐up period of 69 ± 48 months, resulting in an annual mortality rate of 2%. Despite the sample being made up of mostly women (70%), there were more deaths in men (18 vs. 6%, p < 0.001).The optimal thresholds for discrimination of survival were as follows: (a) peak oxygen uptake (pVO2) ≤16 mL/kg/min; (b) minute ventilation/carbon dioxide production (VE/VCO2) slope ≥31; (c) ventilatory power ≤5.8 mmHg; and (d) circulatory power ≤2980 mmHg/mL O2/min. Kaplan–Meier survival plots revealed a significant positive association between lower pVO2, circulatory power and ventilatory power values and survival (log‐rank, p < 0.001) and higher mortality for men than women. Adjusted Cox regression models showed that a pVO2 ≤16 mL/kg/min had a 20‐fold higher risk of mortality when compared with >16 mL/kg/min. Conclusion: Given the strong association of VO2, ventilatory efficiency, circulatory and ventilatory power with all‐cause mortality, our findings support the notion that poorer cardiorespiratory fitness is associated with a poor prognosis in patients with obesity. [ABSTRACT FROM AUTHOR]

• Hyperglycemic stress increases protein loss and spatial distribution of key intestinal barrier proteins in a mouse intestinal organoid model. • Small molecular weight hyaluronan (35 kDa), HA35, plays a protective effect on barrier function under high glucose conditions. • HA35 regulates apoptotic cell death in organoids grown under hyperglycemic stress. • The effects of HA35 on the intestinal barrier function are likely regulated by its receptor layilin via the layilin-integrin-FAK axis. Metabolic syndrome and diabetes in obese individuals are strong risk factors for development of inflammatory bowel disease (IBD) and colorectal cancer. The pathogenic mechanisms of low-grade metabolic inflammation, including chronic hyperglycemic stress, in disrupting gut homeostasis are poorly understood. In this study, we sought to understand the impact of a hyperglycemic environment on intestinal barrier integrity and the protective effects of small molecular weight (35 kDa) hyaluronan on epithelial barrier function. Intestinal organoids derived from mouse colon were grown in normal glucose media (5 mM) or high glucose media (25 mM) to study the impact of hyperglycemic stress on the intestinal barrier. Additionally, organoids were pretreated with 35 kDa hyaluronan (HA35) to investigate the effect of hyaluronan on epithelial barrier under high glucose stress. Immunoblotting as well as confocal imaging was used to understand changes in barrier proteins, quantitative as well as spatial distribution, respectively. Alterations in barrier function were measured using trans-epithelial electrical resistance and fluorescein isothiocyanate flux assays. Untargeted proteomics analysis was performed to elucidate mechanisms by which HA35 exerts a protective effect on the barrier. Intestinal organoids derived from receptor knockout mice specific to various HA receptors were utilized to understand the role of HA receptors in barrier protection under high glucose conditions. We found that high glucose stress decreased the protein expression as well as spatial distribution of two key barrier proteins, zona occludens-1 (ZO-1) and occludin. HA35 prevented the degradation or loss of ZO-1 and maintained the spatial distribution of both ZO-1 and occludin under hyperglycemic stress. Functionally, we also observed a protective effect of HA35 on the epithelial barrier under high glucose conditions. We found that HA receptor, layilin, was involved in preventing barrier protein loss (ZO-1) as well as maintaining spatial distribution of ZO-1 and occludin. Additionally, proteomics analysis showed that cell death and survival was the primary pathway upregulated in organoids treated with HA35 under high glucose stress. We found that XIAP associated factor 1 (Xaf1) was modulated by HA35 thereby regulating apoptotic cell death in the intestinal organoid system. Finally, we observed that spatial organization of both focal adhesion kinase (FAK) as well as F-actin was mediated by HA35 via layilin. Our results highlight the impact of hyperglycemic stress on the intestinal barrier function. This is of clinical relevance, as impaired barrier function has been observed in individuals with metabolic syndrome. Additionally, we demonstrate barrier protective effects of HA35 through its receptor layilin and modulation of cellular apoptosis under high glucose stress. [ABSTRACT FROM AUTHOR]

Nutrition is largely affected in bipolar disorder (BD), however, there is a lack of understanding on the relationship between dietary categories, BD, and the prevalence of metabolic syndrome. The objective of this study is to examine dietary trends in BD and it is hypothesized that diets with increased consumption of seafood and high-fiber carbohydrates will be correlated to improved patient outcomes, and a lower frequency of metabolic syndrome. This retrospective cohort study includes two French cohorts. The primary cohort, FACE-BD, includes 268 stable BD patients. The second cohort, I-GIVE, includes healthy controls, both stable and acute BD and schizophrenia patients. Four dietary categories were assessed: meat, seafood, low-fiber and high-fiber carbohydrates. Dietary data from two food frequency questionnaires were normalized using min-max scaling and assessed using various statistical analyses. In our primary cohort, the increased high-fiber carbohydrate consumption was correlated to lower prevalence of metabolic syndrome and improved mood. Low-fiber carbohydrate consumption is associated with higher BMI, while higher seafood consumption was correlated to improved mood and delayed age of onset. Results were not replicated in our secondary cohort. Limitations: Our populations were small and two different dietary questionnaires were used; thus, results were used to examine similarities in trends. Overall, various dietary trends were associated with metabolic syndrome, BMI, lactate, mood and age of onset. Improving our understanding of nutrition in BD can provide mechanistic insight, clinically relevant nutritional guidelines for precision medicine and ultimately improve the quality of lives for those with BD. • Food frequency questionnaires evaluated in 2 French cohorts of Bipolar patients. • Various statistical analyses utilized to assess dietary trends in bipolar disorder. • Seafood consumption was associated with mood and age of disease onset. • High fiber carbohydrates consumption decreases prevalence of metabolic syndrome. • Low-fiber carbohydrate consumption was associated with higher Body Mass Index. [ABSTRACT FROM AUTHOR]

DXA-measured visceral adipose tissue (VAT DXA) is associated with adverse cardiometabolic risk profiles in cross-sectional studies, but longitudinal associations have not been investigated. We examined the longitudinal associations of baseline and change in VAT DXA with future cardiometabolic risk in Australian participants of the Busselton Healthy Ageing study. We studied 3569 participants (54.7% female, aged 46–70 years) with data on VAT DXA (GE Lunar Prodigy) and cardiometabolic risk factors at baseline and 6 years follow-up. The associations were examined using logistic and linear regression models, adjusting for baseline age and lifestyle factors. Mean baseline VAT DXA mass was 1653 ± 880 g and 855 ± 580 g, and mean change in VAT DXA +99 ± 500 g and +58 ± 312 g in males and females, respectively. Among all participants, 182 males (11.3%) and 197 females (10.1%) developed incident metabolic syndrome (MetS). Baseline VAT DXA was associated with incident MetS with an adjusted odds ratio of 2.53 (95% CI: 2.03, 3.15) in males and 2.78 (2.30, 3.36) in females per SD increment. There was a graded positive association between longitudinal change in VAT DXA and MetS severity z score in both sexes adjusted for baseline VAT (P < 0.001). All the above associations remained significant after further adjustment for baseline or change in BMI, waist circumference or waist-to-hip ratio in respective models (all P < 0.001). Higher baseline and greater longitudinal increase in VAT DXA are independently associated with raised cardiometabolic risk over time, and may serve as useful markers for identifying middle-aged individuals at increased cardiometabolic risk. [Display omitted] • In middle-to-older aged adults, higher baseline VAT DXA associated with greater risk for incident MetS over 6 years. • Greater longitudinal increase in VAT DXA associated with greater increase in MetS severity z score over time in both sexes. • Associations remained significant after further adjustment for baseline or change in BMI, WC or WHR in respective models. • DXA-measured VAT might be a useful marker to identify individuals at increased risk for cardiometabolic diseases. [ABSTRACT FROM AUTHOR]

Objective. The complement system has been associated with the etiopathogenesis of rheumatoid arthritis (RA). Insulin resistance (IR) and metabolic syndrome (MetS) are prevalent among patients with RA. The aim of this study was to explore the relationship between a comprehensive evaluation of the complement system and IR, as well as MetS, in patients with RA. Methods. A total of 339 nondiabetic patients with RA were recruited. Functional assays of the 3 complement pathways were assessed. Additionally, serum levels of the following individual components of the complement system were measured: C1q (classical); lectin (lectin); C2, C4, and C4b (classical lectin); factor D and properdin (alternative); C3 and C3a (common); C5, C5a, and C9 (terminal); as well as the factor I and C1 inhibitor regulators. IR and β cell function indices were calculated using the homeostatic model assessment. Criteria for MetS were applied. Multivariable linear regression analysis was performed to investigate the association between the complement system and IR in patients with RA. Results. Many elements of the upstream and common complement pathways, but not the functional tests of the 3 routes, correlated positively with higher levels of IR and β cell function. However, after multivariable adjustment for factors associated with IR, these relationships were lost. Conversely, the presence of MetS in patients with RA maintained a relationship with higher levels of C1q, C4, C3, properdin, and factor I after adjusting for confounders. Conclusion. There is a positive correlation between the complement system and MetS among nondiabetic patients with RA. This association is independent of traditional IR factors. [ABSTRACT FROM AUTHOR]

Background and Aims: The purpose of this study was to investigate the combined impact of variations in physical activity (PA) and sitting time (ST) on the risk of developing metabolic syndrome (MetS). Methods: This study was conducted on a cohort of adults from the general population, aged 40–69 years, who participated in the KOGES community-based cohort study over a span of 10 years. Changes in PA and ST were assessed using the results from PA questionnaires completed during baseline and follow-up surveys. The diagnosis of MetS was determined according to the criteria established by the International Diabetes Federation. To evaluate the combined effect of PA and ST changes on the incidence of MetS, we calculated hazard ratios and 95% confidence intervals using a Cox proportional hazards regression model. Result: The incidence of MetS was reduced by 39% (HR = 0.61, 95% CI = 0.46–0.82) for increased ST/increased PA and 26% (HR = 0.74, 95% CI = 0.58–0.94) for decreased ST/increased PA, compared with increased ST/decreased PA, respectively. In addition, this study confirmed that the combined impact of changes in PA and ST, based on the domain of PA, on the incidence of MetS varied. Conclusion: Changes in ST and PA are associated with the risk of developing MetS. These findings lay the groundwork for further research on the relationship between changes in PA, ST, and the occurrence of diseases. [ABSTRACT FROM AUTHOR]

Garlic exhibits hypolipidemic, hypoglycemic, and cardiovascular benefits. The inconsistent results of garlic preparations on adipogenesis have caused more confusion in the public and academia. The compounds responsible for the anti-adipogenesis effect of garlic remain unknown. The present study aimed to verify the real anti-adipogenesis and anti-obesity component in garlic and explored its possible effects in metabolic syndrome. We verified the real anti-adipogenesis and anti-obesity components of garlic in 3T3-L1 preadipocytes and a 10-week-high fat diet (HFD)-induced obese mice. In vitro, two water-soluble and four typical lipid-soluble compounds of garlic were tested for their anti-adipogenesis. Then, the water-soluble compound, alliin, and two processing methods produced garlic oils, were evaluated in vivo study. Mice received oral administration of alliin (25 mg/kg) and garlic oils (15 mg/kg) daily for 8 weeks. Serum lipids, parameters of obesity, and indicators involved in regulating glycolipid metabolism were examined. Our findings confirmed that both water-soluble and lipid-soluble organosulfur compounds of garlic contributed to garlic's anti-adipogenesis effect, in which water-soluble sulfides, especially alliin, exhibited greater potency. Alliin possessed potent effects of anti-obesity and improvement in glucose and lipid metabolism in HFD-induced obese mice. Alliin mediated these effects partly attributed to its modulation of enzymatic activities within glycolipid metabolism and activating PPARγ signaling pathway. In contrast to odorous lipid-soluble sulfides, alliin is odorless, stable, and safe, and is an ideal nutraceutical or even medicinal candidates for the treatment of metabolic diseases. Alliin could be used to standardize the quality of garlic products. [ABSTRACT FROM AUTHOR]

Objectives: To assess the association between overactive bladder syndrome (OAB) and the metabolic syndrome (MetS). Patients and Methods: A population‐based study was conducted to compare OAB patients with age‐, sex‐ and ethnicity‐matched control subjects regarding the prevalence of the parameters of the MetS, with respect to obesity, hyperlipidemia, hypertension and diabetes mellitus. The characteristics of the OAB population were assessed. Adjusted odds ratios (OR) were calculated by logistic regression. Results: 110 024 OAB patients and 220 455 controls. were identified. OAB was associated with a higher prevalence of MetS (35.4% vs. 27.5%, p < 0.001). The fully adjusted OR for MetS in patients with OAB compared to controls was 1.44; 95% confidence interval (CI) 1.42−1.46; p < 0.001. Among metabolic parameters, obesity was found to be the strongest factor associated with OAB (OR 1.55, 95% CI 1.53−1.58, p < 0.001), and higher high‐density lipoprotein cholesterole levels (>50) had a protective effect on the risk of OAB (OR 0.75, 95% CI 0.73−0.76, p < 0.001). Conclusions: Data from this cohort suggest that OAB is positively associated with MetS. Clinicians approaching patients with OAB should be aware of this association. A multimodal treatment focusing on the MetS may be considered in these patients. [ABSTRACT FROM AUTHOR]

The gut microbiota (GM), comprising trillions of microorganisms in the gastrointestinal tract, is a key player in the development of obesity and related metabolic disorders, such as type 2 diabetes (T2D), metabolic syndrome (MS), and cardiovascular diseases. This mini-review delves into the intricate roles and mechanisms of the GM in these conditions, offering insights into potential therapeutic strategies targeting the microbiota. The review elucidates the diversity and development of the human GM, highlighting its pivotal functions in host physiology, including nutrient absorption, immune regulation, and energy metabolism. Studies show that GM dysbiosis is linked to increased energy extraction, altered metabolic pathways, and inflammation, contributing to obesity, MS, and T2D. The interplay between dietary habits and GM composition is explored, underscoring the influence of diet on microbial diversity and metabolic functions. Additionally, the review addresses the impact of common medications and therapeutic interventions like fecal microbiota transplantation on GM composition. The evidence so far advocates for further research to delineate the therapeutic potential of GM modulation in mitigating obesity and metabolic diseases, emphasizing the necessity of clinical trials to establish effective and sustainable treatment protocols. [ABSTRACT FROM AUTHOR]

Objective This study examined the relationship between cystatin C (CysC) levels and all-cause, cardiovascular disease (CVD), and cancer mortality in US metabolic syndrome (MetS) patients. Methods The 1999-2002 National Health and Nutrition Examination Survey (NHANES) prospective cohort research included 1980 MetS participants. To assess CysC levels and all-cause, CVD, and cancer mortality, fitted curves, Kaplan-Meier survival curves, Cox regression analysis, and receiver operating characteristic curves were performed. Results During a mean follow-up of 15.3 ± 5.4 years, a total of 819 deaths occurred. The fitted and Kaplan-Meier survival curves revealed that greater CysC levels were linked to higher all-cause, CVD, and cancer mortality rates (P <.05). After adjusting for variables, CysC level was associated with all-cause, CVD, and cancer mortality at 1.63 (1.42-1.88), 1.53 (1.19-1.95), and 1.53 (1 ∼ 2.32), respectively (P <.05). Tertile models showed consistent results: high CysC Tertile participants showed higher risk of all-cause mortality (HR 1.87; 1.43-2.45), CVD mortality (HR 1.97, 1.15 ∼ 3.38), and cancer mortality (HR 1.72, 1.01 ∼ 2.91) compared to those in the lowest tertile (P <.05). Subgroup studies by sex and other characteristics confirmed the findings. CysC demonstrated the higher predictive efficacy across mortality outcomes, followed by eGFR, outperforming urea nitrogen, creatinine, uric acid, and C-reactive protein. CysC alone exhibited substantial predictive value for all-cause (AUC 0.773; P <.05) and CVD mortality (AUC 0.726; P <.05). Combining CysC with age enhanced predictive value for all-cause mortality to 0.861 and CVD mortality to 0.771 (P <.05). Conclusion MetS patients with elevated CysC levels have a higher risk of all-cause, CVD, and cancer death. CysC may predict MetS all-cause and CVD mortality. [ABSTRACT FROM AUTHOR]

The role of copper in the etiology of metabolic syndrome (MetS) is uncertain. We evaluated associations of plasma copper concentrations with MetS and its components in a cross-sectional study of 198 children ages 7–12 years and 378 adult parents from eight Mesoamerican countries. In children, the outcome was a metabolic risk score based on waist circumference, insulin resistance, mean arterial pressure (MAP), and blood lipids. In adults, we defined MetS per Adult Treatment Panel III criteria. Plasma copper was not significantly related to MetS in children or adults; however, children with copper above the median had a MAP score 0.04 (95% CI, 0.002, 0.08; P = 0.04) adjusted units higher and a HDL-cholesterol score 0.07 (95% CI, − 0.13, − 0.003; P = 0.04) adjusted units lower than those with lower copper concentrations. In adults, copper was positively related to abdominal obesity. Longitudinal studies to confirm the deleterious role of copper on MetS components are warranted. [ABSTRACT FROM AUTHOR]

Copyright of Retos: Nuevas Perspectivas de Educación Física, Deporte y Recreación is the property of Federacion Espanola de Asociaciones de Docentes de Educacion Fisica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: There is limited research on the relationship between Life Essentials 8 (LE8) score and metabolic syndrome (MetS). Our aim is to examine the association between LE8 cardiovascular health metrics and risk of MetS in a nationally representative sample. Methods: We conducted a cross-sectional study using data from 23,253 adults aged ≥20 years from the National Health and Nutrition Examination Survey (2005–2018). LE8 score (range 0–100) was calculated based on the American Heart Association's definitions of ideal cardiovascular health behaviors (physical activity, diet, smoking, and body mass index) and factors (total cholesterol, blood pressure, fasting plasma glucose, and fasting triglycerides). Metabolic syndrome comprises a cluster of metabolic disorders, including obesity, hypertension, hyperglycemia, and dyslipidemia. Multivariable logistic regression and restricted cubic spline models, mediation analysis, subgroup analysis and weighted quantile sum (WQS) regression were used to assess the relationship between LE8 score and MetS risk. Results: A total of 23,253 participants were included, of whom 7,932 had MetS and 15,321 did not. The average age of the participants was 50.7 years (standard deviation (SD) 12.3), with 49.24% being male. Participants with high LE8 category (80–100 points) had 98% lower odds of having MetS compared to those with low LE8 category (0–49 points) after adjusting for potential confounders (adjusted odds ratio [OR]: 0.02; 95% confidence interval [CI]: 0.02–0.03; P < 0.001). There was a monotonic decreasing dose-response relationship between LE8 score and predicted probability of MetS (P-overall <0.001; P-nonlinear <0.001). Several biomarkers including serum albumin, uric acid and neutrophil count emerged as potential mediators. Conclusions: While our studies suggest a potential association between cardiovascular health factors and reduced MetS risk, the cross-sectional nature of our study limits causal inferences. The LE8 score could still serve as a useful screening tool to identify individuals at high risk for MetS, facilitating targeted prevention and treatment strategies. [ABSTRACT FROM AUTHOR]

Background: Although liraglutide has established advantages in treating patients with type 2 diabetes mellitus (T2DM) and metabolic syndrome (MS), there are still some patients with lower responsiveness to liraglutide. The objective of the study was to identify the predictors of response to liraglutide in patients with T2DM and MS. Methods: This retrospective cohort study included patients diagnosed with T2DM and MS who received liraglutide treatment as a part of their diabetes management for a minimum of six months. The participants were stratified into two groups: responders (HbA1c reduction≥1.0% and weight loss≥3%) and nonresponders. The discrepancies in baseline data between the two groups were analyzed, containing comedications, test parameters, and basic profiles. The affecting factors of response to liraglutide by Logistic regression analysis were performed, and the predictive ability of the identified factors was evaluated by plotting a receiver operating characteristic (ROC) curve. Results: A total of 417 patients with T2DM and MS were examined and followed up according to the inclusion criteria, and 206 patients completed the follow-up; 105 (50.97%) were responders and 101 (49.03%) were non-responders to liraglutide. The binary logistic regression analysis identified baseline HbA1c, baseline BMI, and the duration of T2DM as significant predictors of glycemic and weight responses to liraglutide (P <0.05). The area under the curve of the ROC for the three predictors of liraglutide response after 6 months of treatment was 0.851 (95% confidence interval: 0.793 - 0.910). Conclusion: The baseline HbA1c, baseline BMI, and duration of T2DM were shown to be predictive factors of glycemic and weight improvements in patients with T2DM and MS treated with liraglutide, and had good predictive power. [ABSTRACT FROM AUTHOR]

Background: Metabolic disorders and overweight or obesity are highly prevalent and intricately linked in patients with chronic heart failure (CHF). However, it remains unclear whether there is an interactive effect between these conditions and the prognosis of heart failure, and whether such an interaction is influenced by stratification based on age and sex. Methods: A total of 4,955 patients with CHF were enrolled in this study. Metabolic status was assessed according to the presence or absence of metabolic syndrome (MetS). BMI categories included normal weight and overweight or obesity (BMI < 24, ≥ 24 kg/m²). Patients were divided into four phenotypes according to their metabolic status and BMI: metabolically healthy with normal weight (MHNW), metabolically unhealthy with normal weight (MUNW), metabolically healthy with overweight or obesity (MHO), and metabolically unhealthy with overweight or obesity (MUO). The incidence of primary outcomes, including all-cause and cardiovascular (CV) death, was recorded. Results: During a mean follow-up of 3.14 years, a total of 1,388 (28.0%) all-cause deaths and 815 (16.4%) CV deaths were documented. Compared to patients with the MHNW phenotype, those with the MUNW (adjusted hazard ratio [aHR], 1.66; 95% confidence interval [CI], 1.38-2.00) or MUO (aHR, 1.42 [95% CI, 1.24-1.63]) phenotypes had a greater risk of all-cause death, and those with the MHO phenotype (aHR, 0.61 [95% CI, 0.51-0.72]) had a lower risk of all-cause death. Moreover, the above phenomenon existed mainly among males and elderly females (aged ≥ 60 years). In nonelderly females (aged < 60 years), the detrimental effects of MetS were lower (aHR, 1.05 [95% CI, 0.63-1.75] among MUNW group and aHR, 0.52 [95% CI, 0.34-0.80] among MUO group), whereas the protective effects of having overweight or obesity persisted irrespective of metabolic status (aHR, 0.43 [95% CI, 0.26-0.69] among MHO group and aHR, 0.52 [95% CI, 0.34-0.80] among MUO group). Similar results were obtained in the Cox proportional risk analysis of the metabolic overweight/obesity phenotypes and CV death. Conclusions: In male and elderly female patients with CHF, the detrimental effects of MetS outweighed the protective benefits of having overweight or obesity. Conversely, in nonelderly females, the protective effects of having overweight or obesity were significantly greater than the adverse impacts of MetS. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome (MetS), characterized by central obesity, insulin resistance, dyslipidemia, and hypertension, affects 20-25% of the global population. The creatinine-to-cystatin C ratio (CCR) is an indicator of skeletal muscle mass. While CCR may play a role in MetS development, sex differences in these associations are not fully understood. Therefore, this study aimed to investigate how CCR levels are associated with MetS in a Chinese adult population, focusing on possible sex disparities. Method: We conducted a retrospective cross-sectional analysis of 9,376 adults from Xiamen Chang Gung Hospital between 2014 to 2016. We examined the relationship between CCR and MetS, adjusting for cardiometabolic risk factors. Results: The prevalence of MetS was 24.7% in males and 18.0% in females. Interestingly, we observed significant sex differences in the association between CCR quartiles and MetS. Females in the lowest CCR quartile had a significantly higher risk of MetS (odds ratio=1.84). Receiver operating characteristic curve analysis revealed acceptable diagnostic power of CCR for MetS in females (area under the curve=0.65) but not in males. Conclusion: Our findings suggest that CCR is an independent risk factor for MetS in females, highlighting the importance of sex-specific assessments when evaluating MetS risk. [ABSTRACT FROM AUTHOR]

Background/objectives: The Planetary Health Diet Index (PHDI) was recently introduced to assess adherence to the EAT-Lance recommendations. In this study, we aimed to evaluate the relationship between PHDI and metabolic syndrome (MS). Subjects/methods: We used the data of 6465 participants from the PERSIAN cohort study at Mashhad University of Medical Sciences, Mashhad, Iran. Diet was assessed using a 130-item Food Frequency Questionnaire (FFQ). The PHDI comprises sixteen components and is scored between 0 and 150 points. We first assessed the validity and reliability of the PHDI for this population. We used regression logistic models to assess the relationships between PHDI and MS and its related indicators. Results: The average PHDI score was 52.3 ± 9. The Cronbach’s alpha value was 0.53. After controlling for age and sex, the PHDI was positively related to the Diet Quality Index-International (DQI-I) and was negatively related to carbon and water footprints (p < 0.001). PHDI quartile was negatively associated with MS, hypo-HDL cholesterolemia, and abdominal obesity after controlling for confounders (P < 0.05). Conclusion: The validity and reliability of the PHDI were found to be satisfactory for the Iranian population we studied. Our results showed that a higher PHDI was potentially related to a reduced likelihood of MS, hypo-HDL cholesterolemia, and abdominal obesity. [ABSTRACT FROM AUTHOR]

Background: Recent studies have shown that both metabolic syndrome and circadian rhythm syndrome are firmly associated with the occurrence of cardiovascular disease (CVD), with insulin resistance playing a significant role. The estimated glucose disposal rate (eGDR) is considered to be a reliable surrogate marker for insulin resistance. However, the relationship between eGDR and CVD under different metabolic and circadian rhythm states has not been thoroughly studied, and large-scale prospective cohort studies are needed to clarify this relationship. Methods: This study is based on the China Health and Retirement Longitudinal Study (CHARLS), recruiting individuals aged 45 and above with complete eGDR data. The eGDR was calculated by the formula: eGDR(mg/kg/min) = 21.158 − (0.09 × WC) − (3.407 × hypertension) − (0.551 × HbA1c) [WC (cm), hypertension (yes = 1/no = 0), and HbA1c (%)] (Zabala et al. in Cardiovasc Diabetol 20(1):202; 2021).Participants were divided into four subgroups based on the quartiles (Q) of eGDR.The cumulative incidence rates and hazard ratios (HR) with 95% confidence intervals (CI) were calculated, with the lowest eGDR quartile (representing the highest degree of insulin resistance) as the reference. Participants were further divided into subgroups based on the diagnosis of Metabolic syndrome (MetS) or circadian syndrome (CircS) to explore the relationship between eGDR and CVD under different metabolic and circadian rhythm conditions. The dose–response relationship between eGDR and CVD incidence was investigated using a restricted cubic spline (RCS) based on a Cox regression model. Receiver operating characteristic (ROC) curves were generated to assess the predictive value of eGDR for CVD incidence. A clinical decision curve analysis (DCA) was also conducted to assess the clinical utility of the basic model. Results: 6507 participants were included, with a median age of 58 years [52 years, 64 years], and 55% were female. Over a median follow-up duration of 87 months, 679 first-episode CVD events were recorded, including heart disease and stroke. The RCS curves demonstrated a significant dose–response relationship between eGDR and the incidence of first-presentation CVD in different metabolic and circadian rhythm subgroups (all P-values < 0.001, non-linearity P > 0.05). eGDR exhibited a significant linear relationship with all outcomes (non-linearity P < 0.05). The Kaplan–Meier cumulative incidence curves showed that as eGDR levels increased, the cumulative incidence rates of first CVD, heart disease, and stroke gradually decreased from Q1 to Q4 groups. Significant differences were observed across all metabolic and circadian rhythm subgroups (log-rank test P < 0.001). Through the Cox proportional hazards model, we confirmed a significant association between baseline eGDR levels and first-onset CVD, heart disease, and stroke. Subgroup analyses indicated that the predictive ability of eGDR for CVD risk varied across different Body mass index (BMI) (P for interaction = 0.025) and age (P for interaction = 0.045) subgroups. Mediation analysis revealed that CircS partially mediated this association. Furthermore, time-dependent ROC curves demonstrated the potential of eGDR as a predictor of CVD risk, revealing possible differences in the model's application across different cardiovascular conditions. Conclusion: eGDR is an independent predictor of CVD risk, with lower eGDR levels being closely associated with a higher risk of CVD (including heart disease and stroke). In populations with MetS or CircS, the association between lower eGDR levels and increased risk is more pronounced. [ABSTRACT FROM AUTHOR]

Metabolic associated fatty liver disease is a chronic liver disease associated with obesity, type 2 diabetes and hyperlipidemia. The incidence of metabolic associated fatty liver disease is increasing year by year, which seriously affects the quality of life of patients and brings heavy medical burden to patients and society. Its pathogenesis involves a variety of factors, such as two-hit and multiple-hit, Helicobacter pylori infection and excessive activation of sympathetic nerves. The treatment methods include changing lifestyle. improving insulin resistance, regulating intestinal flora, and macrophage targeted therapy. This article reviews the progress in the diagnosis and treatment of metabolic associated fatty liver disease. [ABSTRACT FROM AUTHOR]

Rising global pediatric obesity rates, increase non-alcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS) prevalence, with MetS being a NAFLD risk factor. NAFLD can be asymptomatic, with liver function tests insensitive to mild disease, and liver biopsy, risking complications. Thus, we investigated multiparametric MRI (mpMRI) metrics of liver fat (proton density fat fraction, PDFF) and disease activity (fibro-inflammation; iron-corrected T1, cT1), in a Hispanic pre-pubertal pediatric cohort, with increased risk of NAFLD. Pre-pubertal boys (n = 81) of varying Body-Mass Index (BMI) were recruited in Mexico City. Most children (81%) had normal liver transaminase levels, 38% had high BMI, and 14% had ≥ 3 MetS risk factors. Applying mpMRI thresholds, 12%, 7% and 4% of the cohort had NAFLD, NASH and high-risk NASH respectively. Participants with ≥ 3 MetS risk factors had higher cT1 (834 ms vs. 737 ms, p = 0.004) and PDFF (8.7% vs. 2.2%, p < 0.001) compared to those without risk factors. Those with elevated cT1 tended to have high BMI and high insulin (p = 0.005), HOMA-IR (p = 0.005) and leptin (p < 0.001). The significant association of increased risk of MetS with abnormal mpMRI, particularly cT1, proposes the potential of using mpMRI for routine pediatric NAFLD screening of high-risk (high BMI, high MetS risk score) populations. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome (MetS) is one of the most significant public health issues worldwide, which increases the risk of various diseases. Epidemiological evidence suggests that newer anthropometric measures, such as a body shape index (ABSI) and body roundness index (BRI) can be used to predict MetS. However, anthropometric measures to predict the risk for MetS should be clarified in each population. Therefore, this study aimed to examine the association between ABSI, BRI, and MetS risk factors among overweight and obese Iranian adults. Methods: This cross-sectional study included 347 overweight and obese individuals [body mass index (BMI) > 25 kg/m2] aged 20–50 years in Tabriz, Iran. Anthropometric measures were assessed, including BMI, waist circumference (WC), and waist-to-hip ratio (WHR). Additionally, ABSI and BRI were calculated based on the collected data. Blood pressure was measured using standard protocols. Body composition also was measured using body impedance analysis (BIA). Enzymatic-colorimetric methods were used to assess serum glucose and lipids, and enzyme-linked immunosorbent assay (ELISA) kits were used to measure insulin levels. Results: Participants with higher ABSI exhibited significantly higher systolic blood pressure (SBP) (P = 0.001), diastolic blood pressure (DBP) (P = 0.010), and triglyceride (TG) levels (P < 0.001), along with significantly lower high-density lipoprotein cholesterol (HDL-C) levels (P < 0.001). In the crude model, individuals in the highest ABSI tertile (tertile 3) had a higher likelihood of having higher SBP (OR: 1.032; 95% CI: 1.014–1.051) and DBP (OR: 1.33; 95% CI: 1.009–1.058), as well as a significant association with lower HDL-C levels (OR: 0.945; 95% CI: 0.918–0.973). Additionally, both ABSI tertile 2 (OR: 1.005; 95% CI: 1.001–1.008) and tertile 3 (OR: 0.993; 95% CI: 1.003–1.011) were linked to a higher likelihood of having higher TG levels. No significant associations were found between BRI tertiles and MetS risk factors. Conclusion: According to our results, ABSI and BRI are poor predictors of MetS risk variables, in overweight and obese individuals. High ABSI is only slightly linked with high SBP, DBP, and TG and low HDL-C. However, longitudinal and long-term investigations are encouraged to verify the efficacy of these two measures. [ABSTRACT FROM AUTHOR]

Background: The metabolic syndrome (MetS) comprises metabolic irregularities, including hypertension and central obesity, which are influenced by genetic, metabolic, environmental, and dietary factors. As diet and lifestyle are risk factors for MetS, it is important to know which diet quality index better predicts MetS. The aim of this study is to compare the ability of different diet quality indices in predicting MetS and to identify the most effective one. Methods: This cross-sectional study involved 5,206 participants aged 35 to 70 engaged in the Prospective Epidemiological Research Study in Iran (PERSIAN) cohort. Assessment of one year's food intake via a validated 134-item semi-quantitative food frequency questionnaire (FFQ) facilitated the calculation of adherence to five diet quality indices: Dietary Approaches to Stop Hypertension (DASH), Mediterranean, Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND), Dietary Inflammatory Index (DII), and Diet Quality Indices (DQI). While bivariate Pearson correlation and binary logistic regression aided in identifying the strongest correlation and predictor for MetS among the indices. Results: This study showed a significant association between adhering to the DASH diet score, Mediterranean diet score, MIND diet score, DII score, and DQI score, and the odds of developing MetS (OR: 0.94, (95% CI: 0.93–0.95), OR: 0.85, (95% CI: 0.81–0.89), OR: 0.84, (95% CI: 0.80–0.89), OR: 1.22, (95%CI: 1.11–1.34), OR: 0.95, (95%CI 0.94–0.96) respectively). Therefore, with each unit increase in DASH diet score, Mediterranean diet score, MIND diet score, DII score, and DQI score, the odds of MetS was reduced by 5.4%, 14.5%, 15.6%, 22%, 5%, respectively. All the indices were correlated with the intake of most of the micronutrients, with the strongest correlations being observed in the DII. DASH diet score aligned with the most favourable MetS biomarker risk, while DII score primarily associated with MetS and could be considered as a predictor for MetS. Conclusion: The present study's findings reveal that between all these five diet quality indices, the DASH diet score correlates strongly with a favourable biomarker risk profile, while the DII score is predominantly linked to MetS. [ABSTRACT FROM AUTHOR]

Metabolic syndrome (MetS) is a collection of metabolic abnormalities including insulin resistance, atherogenic dyslipidemia, central obesity, and hypertension. Recently, long noncoding RNAs (lncRNAs) have emerged as pivotal regulators of metabolic balance, influencing the genes associated with MetS. Although the prevalence of insulin resistance is rising, leading to an increased risk of type 2 diabetes mellitus (T2DM) and its vascular complications, there is still a notable gap in understanding the role of lncRNAs in the context of clinical diabetes. Among lncRNAs, lung adenocarcinoma metastasis‐associated transcript 1 (MALAT1) has been identified as a significant regulator of metabolism‐related disorders, including T2DM and cardiovascular disease (CVD). This review explores the mechanism of lncRNA MALAT1 and suggests that targeting it could offer a promising strategy to combat MetS, thereby enhancing the prognosis of MetS. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome (MetS) imposes a significant health burden on patients globally. Chronic low-grade inflammation is pivotal in the onset and progression of this condition. However, the role of the novel inflammatory marker, red cell distribution width to albumin ratio (RAR), in the development of MetS remains unclear. Methods: This population-based cross-sectional study utilized data from the 2011–2020 National Health and Nutrition Examination Survey (NHANES). Participants included individuals over 18 years old with complete data on serum albumin concentration, red cell distribution, and MetS and its components. MetS was defined using the criteria established by the National Cholesterol Education Program Adult Treatment Panel III. The calculation formula for RAR is: RAR = Red cell distribution width (%)/serum albumin (g/dL). Study participants were stratified into four quartiles based on RAR levels. Logistic regression analysis and subgroup analysis were employed to explore the independent interaction between RAR and MetS, as well as investigate the relationship between RAR levels and the specific components of MetS. Finally, the receiver operating characteristic (ROC) curve was used to assess the predictive efficacy of RAR for MetS. Results: A total of 4899 participants were included in this study, comprising 2450 males and 2449 females; 1715 individuals (35.01%) were diagnosed with MetS. As the quartile of RAR increased, the proportion of individuals with MetS also increased. Spearman correlation analysis indicated a positive correlation between RAR and the insulin resistance index HOMA-IR. Logistic regression analysis, adjusting for multiple confounding factors, showed that each standard deviation increase in RAR was associated with a significant 1.665-fold increase (95% CI, 1.404–1.975; P < 0.001) in the odds of MetS prevalence. In logistic regression analysis stratified by quartiles of RAR, the risks of MetS in Q1-Q4 were 1.372 (95% CI, 1.105–1.704; P = 0.004), 1.783 (95% CI, 1.434–2.216; P < 0.001), and 2.173 (95% CI, 1.729–2.732; P < 0.001), respectively. Subgroup analyses and interaction tests demonstrated that gender, age, race, education, smoking status, and physical activity modified the positive association between RAR and MetS (p for interaction < 0.05). Additionally, analysis of the area under the receiver operating characteristic (ROC) curve showed that the optimal cutoff value for predicting MetS using RAR was 3.1348 (sensitivity: 59.9%; specificity: 60.6%; and AUC: 0.628). Conclusions: Increasing RAR levels are associated with a higher risk of MetS. Therefore, greater attention should be given to patients with high RAR levels for improved prevention and treatment of MetS. [ABSTRACT FROM AUTHOR]

Sinensetin is among the most ubiquitous polyphenols in citrus fruit and recently has been extensively studied for its ability to prevent or treat diseases. The current literature on the bioavailability of sinensetin and its derivatives was reviewed and the potential ameliorative effects of metabolic syndrome in humans were evaluated. Sinensetin and its derivatives mainly aggregated in the large intestine and extensively metabolized through gut microbiota (GM) and the liver. So intestinal microorganisms had a significant influence on the absorption and metabolism of sinensetin. Interestingly, not only GM acted on sinensetin to metabolize them, but sinensetin also regulated the composition of GM. Thus, sinensetin was metabolized as methyl, glucuronide and sulfate metabolites in the blood and urine. Furthermore, sinensetin was reported to have the beneficial effect of ameliorating metabolic syndromes, including disorders of lipid metabolism (obesity, NAFLD, atherosclerosis), glucose metabolism disorder (insulin resistant) and inflammation, in terms of improving the composition of intestinal flora and modulating metabolic pathway factors in relevant tissues. The present work strongly elucidated the potential mechanism of sinensetin in improving metabolic disorders and supported the contribution of sinensetin to health benefits, thus offering a better perspective in understanding the role played by sinensetin in human health. [ABSTRACT FROM AUTHOR]

Aims: The objective of this study was to investigate the associations of dietary and circulating antioxidant vitamins with metabolic syndrome (MetS), and to assess causality using Mendelian randomization (MR). Methods: This study included 10,308 participants from the National Health and Nutrition Examination Survey. The associations of vitamins A, C, E and carotenoids with MetS were assessed using multivariable weighted logistic regression analysis. Subsequently, the MR approach was employed to test the causal associations, with inverse variance weighted (IVW) serving as the primary analysis. Results: Observationally, dietary vitamin A (OR=0.852, 95%CI: 0.727-0.999), C (OR=0.802, 95%CI: 0.675-0.952), carotene (OR=0.832, 95%CI: 0.706-0.982), and b-carotene (OR=0.838, 95%CI: 0.706-0.995) in quartile 4 had lower incidents of MetS, when compared to quartile 1. Circulating vitamin C and carotene were also present inversely associated with MetS, while the vitamin A and E both increased this risk. IVW-MR confirmed the associations of dietary vitamin A (OR=0.920, 95%CI: 0.861-0.984), vitamin C (OR=0.905, 95%CI: 0.836- 0.979) and carotene (OR=0.918, 95%CI: 0.865-0.974) with MetS. However, there was only circulating b-carotene (OR=0.909, 95%CI: 0.857-0.965) was found to be causally associated with MetS. Conclusions: Observational and MR studies have shown that adequate dietary intake of vitamin A, C and carotenoids may help to reduce the risk of MetS. [ABSTRACT FROM AUTHOR]

Introduction: Metabolic dysfunction-associated fatty liver disease (MAFLD) has emerged as the leading cause of hepatocellular carcinoma (HCC) worldwide. Over the years, Perilipin 5 (PLIN5) has been recognized as a key regulator of both MAFLD and HCC development. In our previous studies we demonstrated that deficiency in Plin5 reduces the severity of MAFLD and HCC in mice. Interestingly, it has been established that patients with MAFLD and HCC exhibit various changes in their gut microbiome profiles. The gut microbiome itself has been shown to play a role in modulating carcinogenesis and the immune response against cancer. Methods: Therefore, we conducted a study to investigate the alterations in fecal microbiome composition in wild type (WT) and Plin5-deficient (Plin5-/-) mice models of MAFLD and MAFLD-induced HCC (MAFLD-HCC). We utilized 16S rRNA gene sequencing analysis to profile the composition of gut bacteria in fecal samples. Results: Notably, we discovered that the absence of Plin5 alone is already associated with changes in gut microbiota composition. Moreover, feeding the mice a Western diet (WD) resulted in additional microbial alterations. Interestingly, Plin5-/- animals exhibited an enrichment of the beneficial taxa Lactobacillus in both animal models. Discussion: Our findings identify Plin5 as a major regulator of gut microbiota during the development of MAFLD and MAFLD-HCC. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome (MetS) represents cardiometabolic dysregulation, defined by hypertension, obesity, diabetes, and dyslipidemia. There remains a significant gap in our understanding of whether MetS impacts outcomes of abdominal body contouring procedures. We aimed to assess the influence of MetS on postoperative outcomes of abdominal body contouring by concurrent abdominoplasty and panniculectomy. Methods: The ACS-NSQIP database was utilized to identify patients who underwent concurrent abdominoplasty and panniculectomy procedures from 2012 to 2022. Through propensity score matching, distinct cohorts were established based on the presence of MetS, characterized by patients receiving medical interventions for diabetes mellitus and hypertension, with a body mass index exceeding 30 kg/m2. Univariate and multivariate analyses were conducted to evaluate differences between groups. Results: A total of 14,642 patients underwent abdominal body contouring from 2012 to 2022. Following propensity score matching, 730 patients were included in the analysis, with 365 in each group (MetS vs. non-MetS). Bivariate analysis revealed a longer hospital length of stay (2.3 vs. 1.6 days; p = 0.007) in the MetS cohort compared to the non-MetS cohort. Patients diagnosed with MetS had an average length of stay of 0.6 days longer than non-MetS patients (95% CI [0.17, 1.01]; p = 0.007). No noteworthy disparities were observed in the rates of 30-day wound complications, mild systemic, and severe systemic complications, and readmission rates between the groups. Conclusions: Our findings suggest that abdominal body contouring remains a secure option for patients with MetS. Nonetheless, the longer hospital length stays observed in patients with MetS may translate to increased overall costs to the healthcare system. Continued research is warranted to comprehensively assess the economic implications of MetS in the context of abdominal body contouring. Level of Evidence III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266. [ABSTRACT FROM AUTHOR]