Relationship between Cytokines and Metabolic Syndrome Components: Role of Pancreatic-Derived Factor, Interleukin-37, and Tumor Necrosis Factor-α in Metabolic Syndrome Patients.

The metabolic syndrome (MetS) is a serious public health issue that affects people all over the world. Notably, insulin resistance, prothrombotic activity, and inflammatory state are associated with MetS. This study aims to explore the relationship between cytokines and tumor necrosis factor-α (TNF-α), pancreatic-derived factor (PANDER), and interleukin (IL-)-37 and the accumulation of MetS components. Eligible participants were divided into four groups as follows: group 1, patients with dyslipidemia; group 2, patients with dyslipidemia and obesity; group 3, patients with dyslipidemia, obesity, and hypertension; and group 4, patients with dyslipidemia, obesity, hypertension, and hyperglycemia. This study exhibited that serum levels of TNF-α and PANDER were significantly elevated (P < 0.001) in the MetS groups, while IL-37 level and IL-37 mRNA expression were significantly decreased (P < 0.001) relative to healthy controls. Moreover, this study has revealed significant correlations (P < 0.001) between MetS components and TNF-α, PANDER, and IL-37 levels in MetS patients. The aforementioned results suggested the association between the proinflammatory cytokine (TNF-α and PANDER) and anti-inflammatory cytokine (IL-37) with the accumulation of MetS components. Hence, the overall outcome indicated that PANDER and IL-37 may be considered novel biomarkers associated with increased risk of MetS and can be used as a promising therapeutic target in preventing, ameliorating, and treating metabolic disorders. Supplementary Information: The online version contains supplementary material available at 10.1007/s12291-022-01079-z.

Hemoglobin concentration is associated with the incidence of metabolic syndrome.

BACKGROUND: An association between hemoglobin and metabolic syndrome (MetS) has been reported. However, the relationships between hemoglobin and individual MetS components remain unclear. Therefore, we investigated these associations at baseline and at the 3-year follow-up. METHODS: We enrolled 9960 middle-aged and elderly subjects (6726 women and 3234 men) and performed a 3-year follow-up cohort study. All subjects completed a questionnaire and underwent anthropometric measurements and laboratory tests. Logistic regression models were developed to assess the association between hemoglobin and MetS and its components. RESULTS: MetS was present in 45.1% of women and 41.4% of men at baseline. The hemoglobin concentration was positively correlated with SBP, DBP, TGs, WC, FPG, insulin, HOMA-IR, BMI and uric acid (p < 0.05). The mean hemoglobin concentration was higher in subjects with hypertension, high TGs, abdominal obesity or elevated FPG (p < 0.01). At follow-up, elevated hemoglobin correlated with an increased incidence and ORs for MetS, high TGs, low HDL-c, hyperuricemia and NAFLD but not abdominal obesity, BP or FPG in women. Increased hemoglobin corresponded with an increased incidence and ORs for MetS, abdominal obesity, low HDL-c, hyperuricemia and NAFLD but not BP, high TGs or FPG in men. CONCLUSIONS: Hemoglobin may play a role in predicting new-onset MetS in both women and men. Hemoglobin was notably correlated with future risk of high TGs, low HDL-c, hyperuricemia, and NAFLD among women and abdominal obesity, low HDL-c, hyperuricemia, and NAFLD among men.

Early identification of metabolic syndrome risk: A review of reviews and proposal for defining pre-metabolic syndrome status.

AIMS: a) To analyze the relationship of known and emerging biomarkers/indicators for early risk identification of cardiometabolic health risk; b) to identify early risk markers to be used in both clinical and nonclinical settings; and c) to propose a definition of early risk identification in terms of pre-metabolic syndrome (PreMetSyn). DATA SYNTHESIS: Pubmed/Medline, Web of Science, Embase, and Cochrane were searched for Systematic Reviews and Meta-analysis. Selected studies were evaluated, and relevant data were extracted and synthesized. CONCLUSIONS: Serum uric acid is a good predictive biomarker of metabolic syndrome (MetSyn) and has been associated with non-alcoholic liver fat disease (NAFLD) and type 2 diabetes. NAFLD emerges as an early risk indicator of PreMetSyn by itself. Muscle strength should also be included as an early risk marker of cardiometabolic health. High serum triglycerides and waist circumference confirm their predictive value regarding MetSyn. Indicators related to an inflammatory/pro-inflammatory status usually linked to MetSyn showed limited evidence as robust biomarkers for PreMetSyn. Authors suggest defining PreMetSyn related to cardiometabolic risk. It is also necessary to determine how close people are to the cut-off point of MetSyn components, including emerging indicators proposed by our review. Some biomarkers could be used as indicators of PreMetSyn, before any of the MetSyn components appear, allowing early health interventions to prevent its development. Defining a PreMetSyn status might consider both emerging indicators and those variables already included in the definition of MetSyn. New indicators should be considered to create a new risk score specifically meant for PreMetSyn.

Metabolic syndrome and early stage breast cancer outcome: results from a prospective observational study.

PURPOSE: Obesity and insulin resistance have been associated with poor prognosis in breast cancer (BC). The present prospective study aimed to investigate the impact of metabolic syndrome (MetS) and its components on early BC (eBC) patients' outcome. METHODS: MetS was defined by the presence of 3 to 5 of the following components: waist circumference > 88 cm, blood pressure ≥ 130/≥ 85 mmHg, serum levels of triglycerides ≥ 150 mg/dL, high density lipoprotein < 50 mg/dL and fasting glucose ≥ 110 mg/dL. Seven hundred and seventeen patients with data on ≥ 4 MetS components at BC diagnosis were enrolled. Study population was divided into two groups: patients with < 3 (non-MetS) vs. ≥ 3 components (MetS). Categorical variables were analyzed by Chi-square test and survival data by log-rank test and Cox proportional hazards regression model. RESULTS: Overall, 544 (75.9%) and 173 (24.1%) women were categorized as non-MetS and MetS, respectively. MetS patients were more likely to be older, postmenopausal, and insulin-resistant compared to non-MetS patients (p < 0.05). In multivariate analysis, MetS patients had a numerically higher risk of relapse [disease-free survival (DFS), hazard ratio (HR) 1.51, p = 0.07] and a significantly higher risk of death compared to non-MetS patients [overall survival (OS), HR 3.01, p < 0.0001; breast cancer-specific survival (BCSS), HR 3.16, p = 0.001]. Additionally, patients with 1 to 2 components of MetS had an increased risk of dying compared to patients with 0 components (OS, HR 4.90, p = 0.01; BCSS, HR 6.07, p = 0.02). CONCLUSIONS: MetS correlated with poor outcome in eBC patients. Among patients without full criteria for MetS diagnosis, the presence of 1 or 2 components of the syndrome may predict for worse survival.

Gender differences in the impact of metabolic syndrome components on mortality in older people: A systematic review and meta-analysis.

BACKGROUND AND AIMS: The influence of metabolic syndrome (MetS) on mortality may be influenced by age- and gender-related changes affecting the impact of individual MetS components. We investigated gender differences in the association between MetS components and mortality in community-dwelling older adults. METHODS AND RESULTS: Prospective studies were identified through a systematic literature review up to June 2019. Random-effect meta-analyses were run to estimate the pooled relative risk (RR) and 95% confidence intervals (95% CI) of all-cause and cardiovascular (CV) mortality associated with the presence of MetS components (abdominal obesity, high triglycerides, low HDL cholesterol, high fasting glycemia, and high blood pressure) in older men and women. Meta-analyses considering all-cause (103,859 individuals, 48,830 men, 55,029 women; 10 studies) and CV mortality (94,965 individuals, 44,699 men, 50,266 women; 8 studies) did not reveal any significant association for abdominal obesity and high triglycerides in either gender. Low HDL was associated with increased all-cause (RR = 1.16, 95% CI: 1.02-1.32) and CV mortality (RR = 1.34, 95% CI: 1.03-1.74) among women, while weaker results were found for men. High fasting glycemia was associated with higher all-cause mortality in older women (RR = 1.35, 95% CI: 1.22-1.50) more than in older men (RR = 1.21, 95% CI: 1.13-1.30), and CV mortality only in the former (RR = 1.36, 95% CI: 1.04-1.78). Elevated blood pressure was associated with increased all-cause mortality (RR = 1.16, 95% CI: 1.03-1.32) and showed marginal significant results for CV death only among women. CONCLUSIONS: The impact of MetS components on mortality in older people present some gender differences, with low HDL cholesterol, hyperglycemia, and elevated blood pressure being more strongly associated to all-cause and CV mortality in women.

Fermented dairy products, diet quality, and cardio-metabolic profile of a Mediterranean cohort at high cardiovascular risk.

BACKGROUND AND AIMS: Fermented dairy products have been associated with a better diet quality and cardio-metabolic profile. However, in Mediterranean populations, these associations have not been well characterized. The aim of this study was to assess the diet quality and the associations between the consumption of total fermented dairy products and their subtypes and the prevalence of Metabolic Syndrome (MetS) components in a Mediterranean population at high cardiovascular risk. METHODS AND RESULTS: Baseline cross-sectional analyses were conducted on 6,572 men and women (mean age: 65 years) with overweight or obesity and MetS recruited into the PREDIMED-Plus cohort. A 143-item Food Frequency Questionnaire (FFQ) was used, and anthropometrical, biochemical, and blood pressure measurements were recorded. Multivariate-adjusted Cox regressions were fitted to analyze the association between quartiles of consumption of fermented dairy products and their subtypes and MetS components to estimate the relative risk (RR) and 95% confidence intervals (95% CIs). Participants who were high consumers of fermented dairy products reported a higher consumption of fruit, vegetables, fish, nuts, and whole bread and a lower consumption of white bread, alcohol, and cookies. Participants in the higher quartile showed a lower prevalence of the low HDL-cholesterol component of the MetS (RR=0.88; 95% CI: 0.78-0.98) than those in the lowest quartile of cheese consumption. Cheese consumption was inversely associated with the prevalence of hypertriglyceridemia. Total fermented dairy products, yogurt, and its types were not associated with any of the MetS components. CONCLUSIONS: Compared to nonconsumers, participants consuming fermented dairy products reported a better diet quality and, particularly, cheese consumers presented a lower prevalence of hypertriglyceridemia and low HDL-cholesterol plasma levels, which are MetS components.

Relationship of "weekend warrior" and regular physical activity patterns with metabolic syndrome and its associated diseases among Chinese rural adults.

Little is known about the "weekend warrior" pattern of physical activity (PA) where people perform all their PA in 1 or 2 sessions per week. We investigated the relationship of weekend warrior and other PA patterns with metabolic syndrome (MS) and its associated diseases. Data on sociodemographic and lifestyle characteristics were collected from the Nantong Metabolic Syndrome Study that included 13,505 women and 6,997 men between 2007 and 2008. Compared with inactive participants, weekend warriors were at lower risk of MS, diabetes, and hypertension; respective odds ratios (95% confidence intervals) for men and women were 0.58 (0.43-0.79) and 0.67 (0.52-0.86), 0.52 (0.34-0.79) and 0.52 (0.33-0.83), and 0.79 (0.63-0.99) and 0.71 (0.57-0.89). Similar results were observed with regular activity, at a frequency of >3 sessions per week. Both weekend warrior and regular PA patterns showed a 10-60% decrease in abnormal triglycerides, glucose, and blood pressure in both sexes; abnormal waist circumference in men only; and abnormal high-density lipoprotein in women only. Our observed cross-sectional relationships reflect that >150 min/week of moderate PA or 75 min/week vigorous-intensity PA is needed to prevent MS and its component diseases, even if in a short-bout, intermittent PA pattern. ABBREVIATIONS: MS: Metabolic syndrome; WC: Waist circumference; TG: Triglycerides; HDL-c: High-density lipoprotein cholesterol; BP: Blood pressure; SBP: Systolic blood pressure, DBP: Diastolic blood pressure; PA: Physical activity; JIS: Joint Interim Statement; CVD: Cardiovascular disease; ATP III: US Third Report of the National Cholesterol Education Program, the Adult Treatment Panel; IDF: International Diabetes Federation; IPAQ: International Physical Activity Questionnaire; BMI: Body mass index; CDC: the Nantong Centers for Disease Control; OR: Odds ratio; CI: Confidence interval; SD: Standard deviation; IQR: Interquartile range.

Continuous metabolic syndrome score (siMS) enables quantification of severity of cardiometabolic affliction in individuals not presenting with metabolic syndrome.

Assessment of degree of cardiometabolic affliction in subjects not presenting with metabolic syndrome (MS) yet, would be helpful in the management of preventive health maintenance. OBJECTIVES: To evaluate continuous metabolic syndrome score (siMS) in estimation of severity of cardiometabolic affliction in individuals not presenting with MS. METHODS: We analyzed data from 3166 volunteers (56 % females) aged ≥ 16 years. siMS score was calculated as waist/height/0.5 + fasting plasma glucose (FPG)/5.6 + triacylglycerols (TAG)/1.7 + systolic blood pressure (SBP)/130 - high-density lipoprotein cholesterol (HDL-C)/1.02 (males) or 1.28 (females). In siMS quintiles, numbers of individuals presenting with 0-to-5 MS components were calculated. MS was considered as the presence of any 3 out of its 5 components. RESULTS: 33 % of participants without MS scored ≥ 4th quintile; 13 % of those free from MS components; 49 % of participants presenting with 1, and 83 % of those displaying 2 MS components. 11 % of individuals presented with MS, all but 1 displayed siMS within the 2 upper quintiles. CONCLUSIONS: Considerable proportion of individuals without MS presented with siMS in range displayed by individuals presenting with MS. SiMS might be useful in estimation of severity of cardiometabolic affliction prior to manifestation of MS, to identify individuals requiring early intervention to counteract developing pathological processes (Tab. 1, Ref. 21).

[The prevalence of components of metabolic syndrome in the patients with diabetes melitus type 2 and mody diabetes in young people of Novosibirsk].

AIM: To estimate the prevalence of type 2 diabetes mellitus (DM2) and MODY diabetes as well as the prevalence of metabolic syndrome (MS) components for these types of diabetes in the young population of the city of Novosibirsk. MATERIALS AND METHODS: In 2013-2017 years a population survey was conducted of a random representative sample of the population of 25-45 years of both sexes, residents of one of the typical districts of Novosibirsk. WHO criteria (1999-2013) were used for the diagnosis of diabetes: fasting blood glucose ≥7.0 mmol / l after an 8-hour fasting. Also group with DM2 included persons with a fasting blood glucose level.

The relationship between food insecurity with cardiovascular risk markers and metabolic syndrome components in patients with diabetes: A population-based study from Kerman coronary artery disease risk study.

BACKGROUND: We sought the prevalence of food insecurity and whether cardiovascular risk markers and metabolic syndrome components are significantly different in categories of food insecurity in patients with type 2 diabetes. MATERIALS AND METHODS: In this cross-sectional study, 520 patients with type 2 diabetes from the Kerman coronary artery disease risk study aged between 23 and 87 years (60.8 ± 11.4) who selected by one-stage cluster sampling were assigned into four groups of "food secure" and "mild," "moderate," and "severe" food insecure. Household food insecurity was assessed by a 9-item household food insecurity access scale questionnaire. RESULTS: The prevalence of food security and mild, moderate, and severe food insecurity in patients with diabetes was 24.4%, 33.1%, 28.9%, and 13.6%, respectively. There was a significant difference among the food-secure/insecure sex groups (P = 0.001). The prevalence of food insecurity and risk factors such as total cholesterol, high low-density lipoprotein cholesterol, and visceral obesity in mild food-insecure females was significantly higher than males (P < 0.001, 0.001, and 0.001, respectively). The fasting blood sugar significantly increased (P = 0.020) in diabetic females with food security than the other female groups. Diastolic blood pressure significantly increased (P = 0.028) in diabetic females with severe food insecurity than the other female groups. The glycosylated hemoglobin significantly increased (P = 0.013) in diabetic males with severe food insecurity than the other male groups. Food insecurity odds ratio in females was 1.74 (95% confidence interval [CI]: 1.10-2.70), 2.39 (95% CI: 1.48-3.88), and 2.73 (95% CI: 1.49-5.01) times higher than in males for mild, moderate, and severe food insecurity, respectively. CONCLUSION: Food insecurity may deteriorate some cardiometabolic biomarkers in type 2 diabetes. Improving food security in patients with diabetes may help reduce cardiovascular disease.

Frequent Consumption of Sugar- and Artificially Sweetened Beverages and Natural and Bottled Fruit Juices Is Associated with an Increased Risk of Metabolic Syndrome in a Mediterranean Population at High Cardiovascular Disease Risk.

BACKGROUND: The relation between the consumption of sweetened beverages and metabolic syndrome (MetS) is controversial. OBJECTIVE: This analysis evaluated the associations between intakes of sugar-sweetened beverages (SSBs), artificially sweetened beverages, and natural and bottled fruit juices and the incidence of MetS in elderly individuals at high risk of cardiovascular disease (CVD) and without MetS at baseline. METHODS: We prospectively examined 1868 participants free of MetS at baseline from the PREDIMED (PREvención con DIeta MEDiterránea) study. MetS was defined by using the updated harmonized criteria of the International Diabetes Federation, the American Heart Association, and National Heart, Lung, and Blood Institute. Energy and nutrient intakes were evaluated at baseline and then yearly by using a validated 137-item food-frequency questionnaire. Multivariable-adjusted HRs for MetS and its components were estimated from mean intakes during follow-up. We compared the 2 highest consumption categories (1-5 and >5 servings/wk) with the lowest category (<1 serving/wk). RESULTS: A total of 930 incident cases of MetS were documented during a median follow-up of 3.24 y. When we compared consumption of >5 servings/wk with consumption of <1 serving/wk, multivariable HRs (95% CIs) for MetS incidence were 1.43 (1.00, 2.15), 1.74 (1.26, 2.41), 1.30 (1.00, 1.69), and 1.14 (1.04, 1.65) for SSBs, artificially sweetened beverages, natural fruit juices, and bottled fruit juices, respectively. CONCLUSIONS: The occasional consumption of SSBs and artificially sweetened beverages (1-5 servings/wk) was not associated with the incidence of MetS in middle-aged and elderly individuals at high risk of CVD. The consumption of >5 servings/wk of all of the types of beverages analyzed was associated with an increased risk of MetS and some of its components. However, for SSBs and bottled fruit juices these associations must be interpreted with caution because of the low frequency of consumption in this population. This trial was registered at clinicaltrials.gov as ISRCTN35739639.

Longitudinal Associations between Triglycerides and Metabolic Syndrome Components in a Beijing Adult Population, 2007-2012.

BACKGROUND: Longitudinal associations between triglycerides (TG) and other metabolic syndrome (MetS) components have rarely been reported. The purpose was to investigate the longitudinal association between TG and other MetS components with time. METHODS: The longitudinal study was established in 2007 on individuals who attended health check-ups at Beijing Tongren Hospital and Beijing Xiaotangshan Hospital. Data used in this study was based on 7489 participants who had at least three health check-ups over a period of 5-year follow up. Joint model was used to explore longitudinal associations between TG and other MetS components after adjusted for age. RESULTS: There were positive correlations between TG and other MetS components except for high density lipoprotein (HDL), and the correlations increased with time. A negative correlation was displayed between TG and HDL, and the correlation also increased with time. Among all five pairs of TG and other MetS components, the marginal correlation between TG and body mass index (BMI) was the largest for both men and women. The marginal correlation between TG and fasting plasma glucose was the smallest for men, while the marginal correlation between TG and diastolic blood pressure was the smallest for women. CONCLUSIONS: The longitudinal association between TG and other MetS components increased with time. Among five pairs of TG and other MetS components, the longitudinal correlation between TG and BMI was the largest. It is important to closely monitor subjects with high levels of TG and BMI in health check-up population especially for women, because these two components are closely associated with development of hypertension, diabetes, cardiovascular disease and other metabolic diseases.

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

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

Consumption of Yogurt, Low-Fat Milk, and Other Low-Fat Dairy Products Is Associated with Lower Risk of Metabolic Syndrome Incidence in an Elderly Mediterranean Population.

BACKGROUND: The association between consumption of dairy products and the risk of developing metabolic syndrome (MetS) is unclear. OBJECTIVE: The purpose of this study was to evaluate the associations between consumption of dairy products (total and different subtypes) and incident MetS in a Mediterranean population at high cardiovascular disease risk. METHODS: We prospectively analyzed 1868 men and women (55-80 y old) without MetS at baseline, recruited from different PREDIMED (Prevención con Dieta Mediterránea) centers between October 2003 and June 2009 and followed up until December 2010. MetS was defined according to updated, harmonized criteria. At baseline and yearly thereafter, we determined anthropometric variables, dietary habits by a 137-item validated food-frequency questionnaire, and blood biochemistry. Multivariable-adjusted HRs of MetS or its components were estimated for each of the 2 upper tertiles (vs. the lowest one) of mean consumption of dairy products during the follow-up. RESULTS: During a median follow-up of 3.2 y, we documented 930 incident MetS cases. In the multivariable-adjusted model, HRs (95% CIs) of MetS for the comparison of extreme tertiles of dairy product consumption were 0.72 (0.61, 0.86) for low-fat dairy, 0.73 (0.62, 0.86) for low-fat yogurt, 0.78 (0.66, 0.92) for whole-fat yogurt, and 0.80 (0.67, 0.95) for low-fat milk. The respective HR for cheese was 1.31 (1.10, 1.56). CONCLUSIONS: Higher consumption of low-fat dairy products, yogurt (total, low-fat, and whole-fat yogurt) and low-fat milk was associated with a reduced risk of MetS in individuals at high cardiovascular disease risk from a Mediterranean population. Conversely, higher consumption of cheese was related to a higher risk of MetS. This trial was registered at controlled-trials.com as ISRCTN35739639.

Protective Effects of the Mediterranean Diet on Type 2 Diabetes and Metabolic Syndrome.

Several studies provide evidence supporting a beneficial effect from the traditional Mediterranean diet (MedDiet) on the risk of type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS). This review summarizes the current scientific evidence from epidemiologic studies and clinical trials on the relation between the MedDiet and T2DM and MetS and the possible mechanisms underlying the reported associations. A recent meta-analysis of prospective cohort studies showed that greater adherence to the MedDiet was associated with a significant reduction in the risk of diabetes. The MedDiet has also been found to be beneficial in the prevention of gestational diabetes. Four large prospective studies have observed inverse associations between the MedDiet and MetS or its components. Few randomized controlled trials (RCTs) have evaluated the effect of the MedDiet on T2DM and MetS. Results from the landmark PREvención con DIeta MEDiterránea (PREDIMED) nutrition intervention trial showed that participants assigned to the MedDiet had a significant 30% reduction in the risk of T2DM and that it also promoted the reversion of MetS and its components, hyperglycemia and central obesity. In addition, 5 RCTs showed the beneficial effects of the MedDiet compared with other dietary patterns on glycemic control in patients with T2DM. A recent meta-analysis of RCTs revealed that, compared with a variety of control diets, the MedDiet was associated with beneficial effects on all MetS components. Bioactive components of the MedDiet synergize to affect various metabolic pathways, leading to a reduced cardiometabolic disease risk. The abundance of healthy, nutrient-dense foods that make up the plant-based MedDiet predicts its bioactivity and potential to beneficially influence metabolic pathways that lead to MetS and T2DM, as well as other chronic conditions. Abundant epidemiologic and clinical trial evidence supports the role of the MedDiet on the prevention and management of T2DM and MetS.

Greater healthful food variety as measured by the US Healthy Food Diversity index is associated with lower odds of metabolic syndrome and its components in US adults.

BACKGROUND: Consuming a wider variety of nutrient-dense foods may promote adherence to healthful dietary patterns, leading to improved dietary quality and enhanced metabolic health. OBJECTIVE: We used the US Healthy Food Diversity (HFD) index to simultaneously measure dietary variety, quality, and proportionality, hypothesizing a priori that race/ethnicity may moderate associations between diet and health. METHODS: A representative sample of adults (n = 7470) aged 20+ y with two 24-h recalls and complete outcome data from the cross-sectional NHANES 2003-2006 were selected. US HFD values were generated using a previously validated equation with a theoretical range from 0 to nearly 1, with higher scores indicative of more varied diets with a higher proportion of healthful food groups. Metabolic syndrome (MetS) was defined using the most recent harmonized definition. Survey-weighted multivariable linear and logistic regression, adjusted for demographic factors, smoking, energy, screen time, and leisure activity, were used to compute means and ORs (95% CIs). RESULTS: Adults in the third vs. first US HFD tertile had 21% lower odds of MetS [OR (95% CI): 0.79 (0.64, 0.98)] as well as lower odds of hypertension [0.83 (0.70, 0.995] and elevated waist circumference [0.75 (0.66, 0.86] after multivariable adjustment (P-trend < 0.05). The age- and sex-adjusted odds of low serum HDL cholesterol and impaired fasting plasma glucose (P-trend < 0.05) were lower in the highest vs. lowest US HFD tertile but attenuated with multivariable adjustment (P = 0.06 and 0.22, respectively). Notably, the US HFD index was only protective against adiposity among non-Hispanic white (NHW) and non-Hispanic black (NHB) adults, and MetS associations were driven by NHW adults. No associations were observed among Hispanic adults for any MetS components. CONCLUSIONS: Greater healthful food variety was associated with lower odds of MetS and some MetS components in the total population, NHW adults, and NHB adults. This study provides preliminary evidence that healthful food diversity may protect against MetS and highlights the need for longitudinal and experimental research.

Effects of Metabolic Syndrome and Its Components on Chronic Kidney Disease and Renal Function: A Two-Sample Mendelian Randomization Study.

Objective: The association of metabolic syndrome (MetS) and its components with chronic kidney disease (CKD) and renal function remains controversial in observational studies. To comprehensively investigate the association between MetS and its components with CKD and renal function, a Mendelian randomization (MR) study was performed. Methods: The inverse variance weighting (IVW) of random effects was used as the main estimation method, while MR-Egger and weighted median analysis results were used for auxiliary judgments. Cochran's Q test, MR-Egger intercept test, leave-one-out analysis, and funnel plots were used to assess heterogeneity and pleiotropy. Results: The MR analyses of genetically predicted MetS and its components' association with CKD risk and renal function showed the following causal associations: hypertension with CKD risk; MetS and obesity with increased blood urea nitrogen and decreased estimated glomerular filtration rate based on cystatin C; hypertension and diabetes with increased urine albumin-creatinine ratio and increased risk of microalbuminuria; and CKD with increased triglyceride. Conclusion: Based on genetic data, this study demonstrated an association between hypertension and CKD risk and a causal association between other MetS components and renal function. The early diagnosis and prevention of MetS and its components might be essential for CKD management.

Associations Between Obesity-Related Gene MC4R rs17782313 Locus Polymorphism and Components of Metabolic Syndrome: A Systematic Review and Meta-Analysis.

Objective: It is well established that melanocortin-4 receptor (MC4R) rs17782313 locus polymorphism is associated with increased obesity risk and that obesity is strongly associated with an enhanced risk of all metabolic syndrome (MS) components. Thus, in this study, we examined the association between the MC4R rs17782313 locus polymorphism and the risk of the remaining MS components, namely, diabetes, hypertension, low high-density lipoprotein (HDL), and hypertriglyceridemia. Methods: We performed an extensive literature screening across six scientific databases, namely, PubMed, Embase, Web of Science, Medline, ScienceDirect, CNKI, and WanFang employing a specific search strategy. Eligible studies were selected for inclusion in our meta-analysis, and odds ratio (OR) values and 95% confidence interval (CI) were computed through fixed- or random-effects models to examine correlation strength. In addition, we performed subgroup analyses involving adjustment factors (unadjusted body mass index [BMI], adjusted BMI), race (Caucasian, Asian), and source of controls (population, hospital). Results: Twenty-two eligible studies were selected from 846 articles, involving 28,018 patients and 98,994 normal participants. Based on this meta-analysis, the MC4R rs17782313 locus polymorphism was associated with an augmented risk of diabetes (allele contrast model T vs. C: OR = 1.05, 95% CI = 1.03-1.08; dominant model TT vs. TC + CC: OR = 1.07, 95% CI = 1.03-1.11) and hypertension (dominant model TT vs. TC + CC: OR = 1.16, 95% CI = 1.03-1.31) risk. However, based on this analysis, the MC4R rs17782313 locus polymorphism was not associated with low HDL and hypertriglyceridemia risk. Conclusions: Based on this analysis, the MC4R rs17782313 locus polymorphism is associated with enhanced risks of diabetes and hypertension, while the associations with low HDL and hypertriglyceridemia require further exploration.

Dissecting Relations between Depression Severity, Antidepressant Use, and Metabolic Syndrome Components in the NHANES 2005-2020.

We aimed to dissect the complex relations between depressive symptoms, antidepressant use, and constituent metabolic syndrome (MetS) components in a representative U.S. population sample. A total of 15,315 eligible participants were included from 2005 to March 2020. MetS components were defined as hypertension, elevated triglycerides, reduced high-density lipoprotein cholesterol, central obesity, and elevated blood glucose. Depressive symptoms were classified as mild, moderate, or severe. Logistic regression was used to evaluate the relationship between depression severity, antidepressant use, individual MetS components and their degree of clustering. Severe depression was associated with the number of MetS components in a graded fashion. ORs for severe depression ranged from 2.08 [95%CI, 1.29-3.37] to 3.35 [95%CI, 1.57-7.14] for one to five clustered components. Moderate depression was associated with hypertension, central obesity, raised triglyceride, and elevated blood glucose (OR = 1.37 [95%CI, 1.09-1.72], 1.82 [95%CI, 1.21-2.74], 1.63 [95%CI, 1.25-2.14], and 1.37 [95%CI, 1.05-1.79], respectively). Antidepressant use was associated with hypertension (OR = 1.40, 95%CI [1.14-1.72]), raised triglyceride (OR = 1.43, 95%CI [1.17-1.74]), and the presence of five MetS components (OR = 1.74, 95%CI [1.13-2.68]) after adjusting for depressive symptoms. The depression severity and antidepressant use were associated with individual MetS components and their graded clustering. Metabolic abnormalities in patients with depression need to be recognized and treated.

Sex-Specific Cut-Offs of Seven Adiposity Indicators and Their Performance in Predicting Metabolic Syndrome in Arab Adults.

This study aimed to assess several indicators of adiposity and their effectiveness in predicting metabolic syndrome (MetS) and identify their cut-off values among general Saudi adults. Consequently, 833 participants (49% male and 51% female) aged 42.2 ± 11.9 years (408 MetS and 425 as controls) were enrolled into this cross-sectional study. Information on demographics, anthropometrics and biochemical results was retrieved from a registry. MetS was defined according to the National Cholesterol Education Program's (NCEP III) criteria. Overall, the lipid accumulation product (LAP) and waist-TG index (WTI) had the highest discriminatory ability for MetS (area under the curve (AUC): 0.857 and 0.831), respectively, followed by the visceral adiposity index (VAI) and dysfunctional adiposity index (DAI) (AUC: 0.819 and 0.804), respectively. Based on gender, the LAP and WTI were the best indicators for discriminating MetS and presented the highest Youden index values, with cut-off values of 49.8 (sensitivity 68.5%, specificity 82.4%), and 8.7 (sensitivity 70.7%, specificity 81.9%), respectively, in females and 46.2 (sensitivity 85.6%, specificity 76.3%) and 8.9 (sensitivity 73.9%, specificity 84.8%), respectively, in males. The LAP and WTI performed well in both genders with a superior ability to identify MetS in males and could be used to predict MetS in Saudi adults.