Markers Of Metabolic Syndrome Research Articles

Association of Anthropometric Adiposity Indices and Hand Grip Strength among Male Industrial Workers in Chennai, Tamil Nadu, India: A Cross-Sectional Study.

Hand Grip Strength (HGS), a basic, non-invasive measure of musculoskeletal function is found to be a risk marker for cardiovascular diseases, respiratory diseases, diabetes, metabolic syndrome, and cancer. Considering the importance and paucity of studies among industrial workers, we aim to study the association between anthropometric adiposity indices and the HGS of industrial workers. The study is a descriptive, cross-sectional study. Anthropometric measurements and HGS of 198 male industrial workers between 21 and 60 years of age, employed at metal manufacturing industries in Chennai, Tamil Nadu, India were assessed. Descriptive and inferential statistics were done using "R" statistical software. The mean age of male industrial workers was 39.51 ± 12.20 years. The majority of the workers were found to be obese (64%) and the mean body fat percentage was 27.69 ± 5.13%. The mean HGS of the worker's dominant hand was found to be 35.80 ± 8.93 kg and of their non-dominant hand was 35.0 ± 8.67 kg. When compared to the normative values of HGS for Indians, results revealed significantly higher HGS of both dominant and non-dominant hands of workers between the age group of 21-30 years and 51-60 years. Multiple linear regression analysis revealed that body weight [β(s.e) =0.27 (0.05), P < 0.000], body fat [β(s.e) = -0.52 (0.14), P < 0.000) and WHR [β(s.e) = -28.81 (11.9), P = 0.017] independently predicted the HGS of dominant hand. In non-dominant hand, body weight [β(s.e) = 0.26 (0.05), P < 0.000] and body fat [β(s.e) = -0.60 (0.13), P < 0.000] independently predicted HGS. Body fat, body weight, and Waist-to-Hip ratio (WHR) were found to have a significant influence on the HGS of industrial workers. Strategies aimed to reduce overall body fat and abdominal obesity may prove beneficial in improving HGS and nutritional status thereby reducing the risk of non-communicable diseases.

Skin alterations as possible clinical markers of diabetes mellitus and metabolic syndrome

Skin alterations as possible clinical markers of diabetes mellitus and metabolic syndrome

Serum CCDC25 Levels as a Potential Marker for Metabolic Syndrome.

Metabolic syndrome (MetS) stands as a significant risk for developing various severe health problems. Therefore, the discovery of biomarkers capable of predicting the progression of metabolic conditions is crucial for improving overall health outcomes. Recently, we reported that coiled-coil domain containing 25 (CCDC25) might be associated with key proteins involved in metabolic pathways, by bioinformatics analysis. Thus, we assumed that serum CCDC25 levels might have an association with MetS status. In this study, based on the modified National Cholesterol Education Program-Adult Treatment Panel III (modified NCEP-ATP III) criteria, the participants who had three or more of abnormal criteria were defined as MetS, and those who had 1 or 2 abnormal criteria as pre-MetS groups; those who had no abnormal criteria were classified as the healthy control (HC) group. Serum CCDC25 levels were measured using the dot blot assay. The results showed that serum CCDC25 levels of the MetS group (0.072±0.026 ng/μl) were significantly higher (p<0.001) than that of pre-MetS (0.031±0.011 ng/μl) or HC groups (0.018±0.007 ng/μl). We can discern a consistent trend indicating that serum CCDC25 level is well correlated with the number of abnormal criteria of MetS of each participant. Although serum CCDC25 levels correlated with the distribution of all 5 MetS criteria, the highest correlation was seen in serum CCDC25 levels and triglyceride (TG) levels, with r=0.563, followed by systolic blood pressure (SBP) levels (r=0.557) and high-density lipoprotein-cholesterol (HDL-C) levels (r=-0.545). CCDC25 showed correlations with all MetS parameters, particularly with TG, SBP, and HDL-C. This prompts speculation that heightened CCDC25 levels may indicate the development and/or progression of those MetS-associated diseases.

A review of the effects of exercise training on the metabolic syndrome markers in postmenopausal and obese women

A review of the effects of exercise training on the metabolic syndrome markers in postmenopausal and obese women

Adiponectin/resistin evaluation is a gold biomarker for monitoring CVD in patients with metabolic syndrome

Abstract Introduction/Objective Introduction: Various studies have tried correlating specific inflammatory markers with metabolic syndrome. Serum adiponectin levels can serve as a biomarker that predicts metabolic syndrome development. Resistin is another adipose-tissue-derived hormone capable of promoting insulin resistance because it increases the reserve of triglycerides in the muscle and the liver rather than the adipose tissue. Methods/Case Report Objectives: To investigate the role of the adiponectin/resistin ratio in monitoring CVD in Jordanian adults with metabolic syndrome. Methods Eighty subjects were randomly selected from individuals who attended two clinical laboratories for routine checks during the period between January 2021 and March 2021. Forty-two participants had metabolic syndrome, while the other 38 represented the healthy group. Resistin and adiponectin were evaluated using the ELISA method, while the adiponectin/resistin ratio was calculated. Lipid profile, glucose and body mass index (BMI) were measured for all metabolic syndrome patients and healthy control ones. Results (if a Case Study enter NA) Results: Plasma resistin levels were significantly higher in metabolic syndrome patients than in healthy controls (p = 0.04), while no significance was found regarding adiponectin (p = 0.07). In contrast, the adiponectin/resistin ratio was highly significant (p &amp;lt; 0.001). Resistin had shown a negative correlation with HDL (r= -0.33), whereas adiponectin was inversely correlated with LDL (r= -0.33) and LDL/HDL ratio (r= -0.34). Adiponectin/resistin ratio positively correlated with HDL (r= 0.45). The multiple linear regression analysis results revealed the predictive potential of adiponectin and resistin when used in different models for CVD risks using HDL as a risk factor. However, the results revealed that only the third model, which included the adiponectin/resistin ratio, was expected to have a higher CVD risk after controlling for the other predictors in the same model. Conclusion The studied metabolic syndrome markers might have an essential role in detecting cardiovascular events. It can be concluded that resistin can be used to evaluate the CVD risks. Furthermore, we found that the adiponectin/resistin ratio is the best marker in predicting CVD events in metabolic syndrome patients compared to other markers, including adiponectin and resistin alone.

Evaluation of lipoprotein(a) and adiponectin levels in patients with metabolic syndrome for the prediction of CVD risk

Abstract Introduction/Objective Introduction: Metabolic syndrome (MetS) usually intensely forecasts cardiovascular diseases, along with elevating the risk of diabetes mellitus as well as chronic kidney disease. The International Federation for Diabetes (IDF) established in 2006 an accepted metabolic syndrome defined as a “cluster of the most dangerous heart attack and cardiovascular diseases risk factors”. Adiponectin is considered the most crucial factor which plays a serious role in glucose and lipid metabolism. Lipoprotein(a) Lp(a) was considered the single most common independent genetically inherited causal risk factor for cardiovascular diseases (CVD). bolic syndrome patients. Methods/Case Report Objectives: To investigate the correlation between Lipoprotein (a) and adiponectin in metabolic syndrome patients with CVD. Subjects and methods This research was performed at Al-Ahliyya Amman University (AAU) during the period between January 2021 and March 2021. Eighty participants were randomly selected from patients who were recruited from the internal medicine clinics. The participants aged 40 to 60 years were selected after screening for the criteria for diagnosis with MetS. Forty-two of the participants had metabolic syndrome, while the other 38 represented the control group. Adiponectin and Lipoprotein (a) were measured using by ELISA technique. Routine laboratory tests, including a lipid profile, glucose and body mass index (BMI), were measured for all participants. Results (if a Case Study enter NA) Results: Plasma lipoprotein (a), HDL, and LDL levels were significantly higher in MetS patients than in healthy controls p= 0.026, 0.04, and 0.04, respectively. In comparison, no significance was found regarding adiponectin (p = 0.07). Lipoprotein (a) had shown a negative correlation with HDL(r= -0.34), whereas adiponectin was inversely correlated with LDL (r= -0.33) and LDL/HDL ratio (r= -0.34). The multiple linear regression analysis results revealed the predictive potential of Lipoprotein (a), and adiponectin when used in different models for CVD risks using HDL as a risk factor (r = 0.381, p = 0.047). Conclusion The studied metabolic syndrome markers might be essential in detecting cardiovascular events. It can be concluded that Lipoprotein (a) and adiponectin can be used to predict the CVD risks in meta

Personal exposure of PM2.5 and metabolic syndrome markers of pregnant women in South Korea: APPO study

We examined the association between exposure to PM2.5, focused on individual exposure level, and metabolic dysfunction during pregnancy. APPO study (Air Pollution on Pregnancy Outcome) was a prospective, multicenter, observational cohort study conducted from January 2021 to March 2023. Individual PM2.5 concentrations were calculated using a time-weighted average model. Metabolic dysfunction during pregnancy was assessed based on a modified definition of metabolic syndrome and its components, accounting for pregnancy-specific criteria. Exposure to PM2.5 during pregnancy was associated with worsened metabolic parameters especially glucose metabolism. In comparison to participants exposed to the low PM2.5 group, those exposed to high PM2.5 levels exhibited increased odds of gestational diabetes mellitus (GDM) after adjusting for confounding variables in different adjusted models. Specifically, in model 1, the adjusted odds ratio (aOR) was 3.117 with a 95% confidence interval (CI) of 1.234–7.870; in model 2, the aOR was 3.855 with a 95% CI of 1.255–11.844; in model 3, the aOR was 3.404 with a 95% CI of 1.206–9.607; and in model 4, the aOR was 2.741 with a 95% CI of 0.712–10.547. Exposure to higher levels of PM2.5 during pregnancy was associated with a tendency to worsen metabolic dysfunction markers specifically in glucose homeostasis. Further research is needed to investigate the mechanisms underlying the effects of ambient PM2.5 on metabolic dysfunction during pregnancy.

LEP (G2548A-G19A) and ADIPOQ (T45G-G276T) gene polymorphisms are associated with markers for metabolic syndrome

Background and aimsThere is a link between genetics with metabolic balance and adiposity homeostasis on metabolic syndrome (MetS). Polymorphism in adipokine genes such as leptin and adiponectin may play an important role in its development. This study aimed to determine the association of the individual and general components of MetS with genetic alterations in LEP (rs7799039 and rs2167270) and ADIPOQ (rs1501299 and rs2241766) genes in the Mexican population.Methods and resultsThe polymorphisms of the LEP gene rs7799039 and rs2167270, together with rs1501299 and rs2241766 polymorphisms of the ADIPOQ gene were genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) on 328 individuals (n = 131 MetS). The rs7799039 under the recessive inheritance model was found to be associated with increased risk of MetS (OR = 2.16, 95% CI = 1.06–4.37), dyslipidemia (OR = 7.97, 95% CI = 2.17–29.36), low HDL (OR = 7.01, 95% CI = 1.65–29.71) and hypertension (OR = 13.02, 95% CI = 1.76–96.44); the heterozygote demonstrate a protective effect on MetS (OR = 0.48, 95% CI = 0.28–0.88) and diabetes (OR = 0.09, 95% CI = 0.02–0.53) under the over the dominant model. Haplotype analysis showed linkage disequilibrium between the SNPs of ADIPOQ rs1501299/rs2241766, and their association as risk factors for low HDL and hypertension.ConclusionThe association of rs7799039 with the presence of MetS, suggests a risk factor for the development of dyslipidemia, as well as its heterozygous as a protective factor for DM. There is a linkage disequilibrium between the SNPs of ADIPOQ.

Surrogate markers of metabolic syndrome and insulin resistance in children and young adults with type 1 diabetes: a systematic review &amp; meta-analysis (MetS and IR in T1DM)

Surrogate markers of metabolic syndrome and insulin resistance in children and young adults with type 1 diabetes: a systematic review &amp; meta-analysis (MetS and IR in T1DM)

The Effects of Personalized Nutrition Intervention In Breast Cancer Patients: A Systematic Review

Breast cancer is a common cancer in women worldwide. Personalized nutrition interventions have gained attention as a promising approach in the treatment of breast cancer. This systematic review aimed to evaluate their effectiveness. A comprehensive search of ScienceDirect and PubMed databases was conducted from 2018 to 2023 using the keyword "Personalized nutrition interventions for breast cancer." Six studies met the inclusion criteria. Results showed that dietary interventions led to improvements in body weight, metabolic parameters, and quality of life in breast cancer patients. The Mediterranean diet was associated with significant improvements in body weight, BMI, waist circumference, glycemia, and triglyceride levels, as well as a greater reduction in metabolic syndrome markers. The ketogenic diet resulted in significant weight loss due to fat mass reduction, while personalized and balanced diet interventions reduced the frequency of leukopenia and abdominal pain. A triple intervention program involving nutrition, exercise, and mindfulness positively impacted the quality of life in breast cancer survivors. Individualized diet therapy based on nutritional needs also significantly reduced barriers and improved nutritional status and quality of life in breast cancer patients undergoing chemotherapy. This review employed a systematic approach, including a comprehensive literature search, clear inclusion criteria, and thorough study quality assessment. In conclusion, personalized nutrition interventions can be effective for improving outcomes in breast cancer patients.

Comparing hs-CRP and MPO Biomarkers of Subclinical Atherosclerosis in Metabolic Syndrome Patients

Cardiovascular disorders have been linked to myeloperoxidase, an enzyme generated from leukocytes. MPO creates an antibacterial system and has been many correlations between MPO, hs-CRP and cardiovascular disease. The present study has aimed to assess MPO, hs-CRP and subclinical atherosclerosis in metabolic syndrome patients by using FMD and CIMT parameters. 75 metabolic syndrome affected patients had defined as per the criteria of IDF (International Diabetes Federation) which had been in this study. In addition, ultrasound doppler had been employed for determining the carotid intima medial thickness for both right and left (left and right CIMT) and brachial artery FMD. By employing the Immunoassay MPO and hs-CRP ultrasensitive ELISA kit, the concentration of MPO and hs-CRP is measured. A positive link between MPO with CIMT right and left (r value of right CIMT=0.723, p &lt;0.05 and left CIMT r=0.712, p&lt;0.01), hs-CRP with CIMT right and left (r value of right CIMT=0.613, p&lt;0.05and left CIMT r=0.64, p&lt;0.01)and a significant inverse correlation between MPO with FMD (r= -0.319,p&lt;0.05), hs-CRP with FMD (r= -0.304,p&lt;0.01) in metabolic syndrome patients. Serum MPO and hs-CRP is positively linked with subclinical atherosclerosis in metabolic syndrome patients. According to this finding, understanding the mechanism behind the risk factors for cardiovascular disease can be aided by the development of new molecular markers for metabolic syndrome and subclinical atherosclerosis.

Serum adiponectin in women with polycystic ovary syndrome

Background: An imbalance of different adipocytokines may play a role in the pathogenesis of PCOS. This study aimed to observe the association and diagnostic utility of adiponectinin PCOS and its manifestations. Methods: This cross-sectional study included 40 newly diagnosed females of reproductive age (18-40 years) with PCOS on the basis of international evidence-based guidelines and an equal number of matched healthy control. Along with clinical information, blood was drawn for biochemical and hormonal analysis. Glucose was measured by glucose oxidase, lipid by glycerol phosphate dehydrogenase peroxidase, all hormones by CMIA, and adiponectin by ELISA method. Insulin resistance was measured by homeostasis model assessment (HOMA-IR) and defined with a cut-off of 2.6. Results:Patients with PCOS had lower serum adiponectin than controls without significant differences even irrespective of body mass index status(ns for all). Adiponectin levels had no significant associations or correlations with any manifestations among patients with PCOS (ns for all). ROC curve analysis showed that serum adiponectin could not be used as a marker of PCOS. It was a poor marker of both metabolic syndrome [AUC (95% CI): 0.64 (0.46-0.81] and insulin resistance [AUC (95% CI): 0.61 (0.44-0.79)] in patients with PCOS. Conclusion: Our study failed to find any significant association between adiponectin and PCOS and its characteristics. Serum adiponectin could not be used as a marker of PCOS. It was a poor marker of insulin resistance and metabolic syndrome among patients with PCOS. Bangladesh J Medicine 2023; 34(3): 206-213

Non-Alcoholic fatty liver disease and metabolic syndrome in patients with HIV/AIDS and its correlation with antiretroviral therapy and severity of disease

Introduction: Metabolic syndrome (MetS) and Non-alcoholic fatty liver disease (NAFLD) are two major causes of morbidity in chronic HIV infected patients on antiretroviral therapy (ART). This study was done on HIV infected individuals by comparing ART naive patients with patients on different ART regimens and evaluating the effect of ART on Metabolic syndrome and NAFLD.Method: It was a cross-sectional observational study done on 120 HIV infected individuals in a tertiary care centre in New Delhi. All cases with hypertension, diabetes, chronic kidney or liver disease, thyroid disorders or on any drugs except ART were excluded. The risk markers for metabolic syndrome were assessed and compared within groups on different ART regimens.Results: Metabolic syndrome and NAFLD were found to be significantly more in cases on ART as compared to ART naïve cases. Metabolic syndrome was found to be associated with type of ART protease inhibitors (ATV/r)&gt; nonucleoside reverse transcriptase inhibitors (NNRTI) &gt; no ART] and low CD4 cell counts (p=0.01). In those patients who were on ART, these parameters were found to be more in those on second line ART [i.e., protease inhibitor (PI)(ATV/r) based regimens] as compared to those on first line ART, [i.e., nonnucleoside reverse transcriptase inhibitors (NNRTI) based regimen]. 15% of cases on 2nd line ART (group C) had MetS as compared to 12.5% in those on 1st line ART (group B) and nil in ART naïve cases (group A). One third (34%) of all 120 cases were found to have NAFLD. A significantly higher number of cases (45%) in group C had NAFLD as compared to 32.5% in group B and 25% in group A respectively. Insulin resistance and metabolic risk markers were also significantly higher in cases on ART as compared to ART naïve.Conclusions: In HIV patients, the use of antiretroviral therapy (ART) is linked to an increase in the prevalence of metabolic risk factors, including insulin resistance, lipoatrophy and dystrophy, dyslipidaemia, and abnormalities of fat distribution. Although care of Opportunistic infections and recently CVD has received a lot of attention, it is equally important to address the metabolic abnormalities such as metabolic syndrome and NAFLD brought on by ART.

A network analysis investigating the associations between posttraumatic stress symptoms, markers of inflammation and metabolic syndrome

Chronic systemic inflammation has been implicated in trauma exposure, independent of a psychiatric diagnosis, and in posttraumatic stress disorder (PTSD) and its highly comorbid conditions, such as metabolic syndrome (MetS). The present study used network analysis to examine the interacting associations between pro-inflammatory cytokines, posttraumatic stress (PTS) symptoms and symptom clusters, and individual components of MetS, in a cohort of 312 participants (n = 139 PTSD cases, n = 173 trauma-exposed controls). Pro-inflammatory cytokines were measured in serum samples using immunoturbidimetric and multiplex assays. Three network models were assessed, and the decision on which model to use was guided by network stability estimates and denseness. Weak negative associations were observed between interleukin one beta (IL-1β) and detachment (D6) and irritability (E1); tumour necrosis factor alpha (TNFα) and hypervigilance (E3); and C-reactive protein (CRP) and emotional cue reactivity (B4), which could be due to high cortisol levels present in a female-majority cohort. Network models also identified positive associations between CRP and waist circumference, blood pressure, and high-density lipoprotein cholesterol (HDL-C). The strongest association was observed between CRP and waist circumference, providing evidence that central obesity is an important inflammatory component of MetS. Some networks displayed high instability, which could be due to the small pool of participants with viable cytokine data. Overall, this study provides evidence for associations between inflammation, PTS symptoms and components of MetS. Future longitudinal studies measuring pro-inflammatory cytokines in the immediate aftermath of trauma are required to gain better insight into the role of inflammation in trauma-exposure and PTSD.

Role of cortisol in the formation of metabolic syndrome in children: literature review and own observations

Background. The issue of the pathogenetic influence of cortisol on the development of metabolic syndrome (MS) in children is considered. The above-threshold values of cortisol are proposed to be taken as a marker of MS. The purpose was to study the relationship between blood cortisol and MS components in children. Materials and methods. We have examined 44 children with MS (study group; waist circumference &gt; 90th percentile of the distribution according to age and sex) and 14 children without signs of MS (controls). The children of the study groups did not differ in age and gender. Anthropometric parameters (body weight, height, body mass index, neck, waist, and hip circumferences, waist/hip circumference index), blood cortisol and leptin, blood lipid and carbohydrate spectrum (total cholesterol, high- and low-density lipoprotein cholesterol, triglycerides, blood glucose, and insulin, HOMA-IR and glucose/insulin indices) were evaluated. The measurement of blood pressure with the calculation of the average level was conducted three times. The diagnosis of MS was formed according to the IDF guidelines, 2007. Results. It was found that the level of blood cortisol in children with MS (362.9 (255.5–634.1) µg/l) was 37.9 % lower than in controls (р &gt; 0.05). The frequency of the above-threshold blood cortisol values in children of both groups was 31.8 and 50.0 %, respectively (р &gt; 0.05). The study of dependence using the Spearman’s rank correlation coefficient between blood cortisol and anthropometric parameters (rmax = 0.16; p &gt; 0.05), lipids (rmax = 0.4; р &gt; 0.05), carbohydrate metabolism (rmax = 0.26; р &gt; 0.05), and blood leptin (r = 0.19; р &gt; 0.05) did not reveal any significance. A significant correlation was found between cortisol and systolic blood pressure. Conclusions. In children with MS, there was no significant difference in the level of blood cortisol compared to those without MS criteria. The association of blood cortisol and MS criteria other than systolic blood pressure has not been found. Although cortisol is important in the formation of systolic blood pressure, it cannot serve as a marker of MS in children since it is not a criterion-forming sign of MS.

Effects of dietary polyphenol curcumin supplementation on metabolic, inflammatory, and oxidative stress indices in patients with metabolic syndrome: a systematic review and meta-analysis of randomized controlled trials.

The aim was to conduct a systematic review and meta-analysis for assessing the effectiveness and safety of dietary polyphenol curcumin supplement on metabolic, inflammatory, and oxidative stress indices in patients with metabolic syndrome (MetS). A comprehensive search for clinical trials was conducted in the following scientific databases: PubMed, SCOPUS, Cochrane Library, EMBASE, Web of Science, and China Biological Medicine. Randomized controlled trials (RCTs) evaluating the efficacy and safety of curcumin supplement for MetS were identified. A random-effects meta-analysis was performed using inverse variance, and efficacy was expressed as mean difference (MD) with 95% confidence interval (CI). The metabolic syndrome markers that were evaluated in the present study included waist circumference (WC), fasting blood sugar (FBS), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), tumor necrosis factor-a (TNF-a), interleukin 6 (IL-6), C-reactive protein (CRP), ultrasensitive c-reactive protein (hsCRP), and malondialdehyde (MDA). By employing the Cochrane tool, RCTs were assessed for bias risk. A total of 785 participants from 13 RCTs were included, with intervention durations ranging from 4 to 12 weeks. Compared with the control group, the curcumin group had positive effects on WC (MD = -2.16, 95% CI: -3.78 to -0.54, p= 0.009, seven studies), FBS (MD = -8.6, 95% CI: -15.45 to -1.75, p = 0.01, nine studies), DBP (MD = -2.8, 95% CI: -4.53 to - 1.06, p = 0.002, five studies), HDL-C (MD = 4.98, 95% CI: 2.58 to 7.38, p < 0.0001, eight studies), TNF-a (MD = -12.97, 95% CI: -18.37 to -7.57, p < 0.00001, two studies), CRP (MD = - 1.24, 95% CI: -1.71 to -0.77, p < 0.00001, two studies), and MDA (MD = -2.35, 95% CI: -4.47 to -0.24, p = 0.03, three studies). These improvements were statistically significant. Meanwhile, there was no significant improvement in SBP (MD = -4.82, 95% CI: -9.98 to 0.35, p = 0.07, six studies), TG (MD = 1.28, 95% CI: -3.75 to 6.30, p=0.62, eight studies), IL-6 (MD = -1.5, 95% CI: -3.97 to 0.97, p = 0.23, two studies), or hsCRP (MD = -1.10, 95% CI: -4.35 to 2.16, p < 0.51, two studies). FBS, SBP, HDL-C, IL-6, CRP, hsCRP, and MDA had a relatively high heterogeneity. Curcumin exhibited promising potential in enhancing markers associated with metabolic syndrome, including inflammation. However, additional studies are required to confirm such findings since the included evidence is limited and has a relatively high heterogeneity. https://www.crd.york.ac.uk/prospero, identifier CRD42022362553.

Carbohydrate Intakes below Recommendations with a High Intake of Fat Are associated with Higher Prevalence of Metabolic Syndrome.

More than one-third of adults in the United States have metabolic syndrome, and dietary carbohydrate intake may modify the likelihood of developing this condition. Currently, there is a lack of consistent evidence demonstrating the relationship between carbohydrate intake that falls below recommendations and metabolic syndrome. Not accounting for the differences in fatty acid classes of these dietary patterns may be a reason for inconsistent findings. This study evaluated the association between a carbohydrate intake below recommendations and metabolic syndrome stratified by fat quantity and fatty acid classes in a nationally representative sample of US adults. This cross-sectional study acquired data on food and nutrient intake and markers of metabolic syndrome from respondents in the National Health and Nutrition Examination Survey 1999-2018. This study included 19,078 respondents who were aged 20 years or older, had reliable and complete data on food and nutrient intake and markers of metabolic syndrome, and were not pregnant or breastfeeding. The main outcome was prevalence of metabolic syndrome. Usual dietary intake was estimated using the National Cancer Institute's usual intake methodology. Multivariable logistic regression models assessed the relative odds of prevalent metabolic syndrome between those who had a carbohydrate intake below recommendations and those who met carbohydrate recommendations. Those who had a carbohydrate intake below recommendations had 1.067 (95% CI 1.063 to 1.071) times greater odds of having metabolic syndrome compared with those who met carbohydrate recommendations (P < 0.001). High intake of fat of any class was associated with higher odds of metabolic syndrome (total fat: 1.271, 95% CI 1.256 to 1.286; saturated fatty acid: 1.072, 95% CI 1.060 to 1.085; monounsaturated fatty acid: 1.317, 95% CI 1.300 to 1.333; polyunsaturated fatty acid: 1.056, 95% CI 1.047 to 1.066; P < 0.001 for all comparisons) in those who had a carbohydrate intake below recommendations. The odds of prevalent metabolic syndrome were higher among individuals who had a carbohydrate intake below recommendations compared with individuals who met carbohydrate recommendations.

Can cutaneous sarcoid be a marker for metabolic syndrome? A case illustration

ABSTRACT Sarcoidosis is a multisystem inflammatory disorder involving the organs such as lungs, lymph nodes, and eyes. Cutaneous involvement is seen in 20%–35% of the cases with systemic involvement. We report the case of a 46-year-old female, who presented with multiple skin-colored papules and nodules over the body, with no evidence of systemic involvement. On further investigation she was detected to have diabetes mellitus and metabolic syndrome (MetS). The association of MetS with systemic sarcoidosis has been described in the literature. However, there is no previous reported association of isolated cutaneous sarcoidosis with MetS. In our context, the presence of MetS was an incidental finding. Hence, cutaneous sarcoid should be considered a marker for underlying MetS and all cases of isolated cutaneous sarcoid should be extensively investigated for the same, even in the absence of systemic manifestations. We illustrate this case as this association is hitherto unreported.

P16-029-23 Effects of Long-Term Low-Carbohydrate Diet Consumption on the Progression of Metabolic Syndrome Markers in Mice

P16-029-23 Effects of Long-Term Low-Carbohydrate Diet Consumption on the Progression of Metabolic Syndrome Markers in Mice

Interrelation of the main hormonal markers in patients with metabolic syndrome

Background. The study of the relationships between the main hormonal markers in patients with metabolic syndrome is relevant due to the growing prevalence of this syndrome in the world. The metabolic syndrome is a complex of risk factors, such as obesity, insulin resistance, hypertension and dyslipidaemia, and is known to significantly increase the risk of developing cardiovascular disease and diabetes.&#x0D; The aim. The aim is to trace the relationship between hormonal markers of metabolic syndrome and assess their impact on its development.&#x0D; Materials and methods. The study involved 96 participants from the Ukrainian population, comprising 53 cases of obesity and 43 non-obese individuals (controls), with no significant age and sex differences between the groups.&#x0D; The hormonal markers investigated included Leptin, Ghrelin, Adiponectin, and Resistin. The determination of serum levels was performed using specific ELISA kits, and correlation analyses were conducted to assess the associations between these markers.&#x0D; Results and discussion. The correlation analysis revealed a statistically significant close negative association between Ghrelin and Leptin levels (ρ = -0.633, p &lt; 0.001). This implies that as Leptin levels decrease, Ghrelin levels tend to increase. The regression analysis demonstrated that 26.7% of the observed variance in Ghrelin levels could be explained by changes in Leptin levels. A strong negative correlation was observed between Adiponectin and Leptin levels (ρ = -0.818, p &lt; 0.001). This indicates that as Leptin levels decrease, Adiponectin levels tend to increase. The regression analysis suggested that 54.8% of the observed variance in Adiponectin levels could be explained by changes in Leptin levels. The correlation analysis indicated a strong positive association between Resistin and Leptin levels (ρ = 0.776, p &lt; 0.001). As Leptin levels increase, Resistin levels also tend to increase. The regression analysis suggested that 47.5% of the observed variance in Resistin levels could be explained by changes in Leptin levels.&#x0D; Conclusions. The study reveals significant correlations between hormonal markers in metabolic syndrome patients