Diagnosis Of Metabolic Syndrome Research Articles

Prevalence of Metabolic Syndrome in Vitiligo Patients and its Relation to Vitiligo Severity – A Cross-Sectional Study

Abstract Background: In vitiligo, there is a significant decrease in melanocytes and melanin. The decrease in melanin causes oxidative stress, with a chance of causing metabolic syndrome. Hence, there is a need to look for metabolic syndrome in vitiligo. Aim and Objectives: To estimate the prevalence of metabolic syndrome in vitiligo patients and to evaluate the relationship between the severity and progression of vitiligo and metabolic syndrome. Materials and Methods: A hospital-based cross-sectional study was conducted on 178 vitiligo cases and 178 controls who were age- and sex-matched. The type of vitiligo, stability by vitiligo disease activity score (VIDA), and severity by vitiligo area severity index (VASI) were noted. The waist circumference, blood pressure, fasting lipid profile, and fasting blood sugar were measured for cases and controls. Metabolic syndrome was diagnosed based on Harmonization Asian criteria. Results: The mean age in cases was 34.38 years, and in controls, it was 35.67 years. The majority were females in both cases (52.2%) and controls (55.6%). Most have a VIDA score of 2+ (41.6%). The mean VASI score was 2.54. The percentage of metabolic syndrome was higher in cases (36%) compared to controls (24.2%) (P = 0.015). The mean age was lower in vitiligo cases with metabolic syndrome (38.83 years) compared to controls with metabolic syndrome (43.14 years). Metabolic syndrome was more frequent in the vitiligo vulgaris type (48.9%) than in acral and segmental vitiligo. Metabolic syndrome was more common in patients with high VIDA (45%) and VASI (52.3%) scores compared to patients with low VIDA (25%) and VASI (27.3%) scores. Limitation: It is a hospital-based study, so controls were not from the general population. Conclusion: The prevalence of metabolic syndrome was higher in vitiligo patients compared to controls, and it was higher in patients with active and severe disease. Screening and close monitoring of vitiligo patients help in the early diagnosis of metabolic syndrome and reduce the risk of cardiovascular disease.

Fatty Liver Index (FLI) is the best score to predict MASLD with 50% lower cut-off value in women than in men

BackgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is defined by the presence of hepatic steatosis, detected on ultrasonography (US) imaging or histology, and at least one of criteria for Metabolic Syndrome diagnosis. Simple non-invasive tests (NITs) have been proposed as an acceptable alternative when US and biopsy are not available or feasible but have not been validated for MASLD. In this observational study, we investigated the reliability of NITs for MASLD detection and whether sex-differences in screening methods should be considered.MethodsWe included 1069 individuals (48% males and 52% females) who underwent their first clinical examination for Metabolic Syndrome in the period between January 2015 and December 2022. Liver steatosis was detected through US and anthropometric and clinical parameters were recorded.ResultsLiver steatosis was detected in 648 patients and MASLD was diagnosed in 630 subjects (355 males; 275 females). Women with MASLD showed better metabolic profile and lower prevalence of Metabolic Syndrome criteria than men. Among NITs, Fatty Liver Index (FLI) showed the best ability for detection of MASLD, with a cut-off value of 44 (AUC = 0.82). When considering the two sexes for MASLD detection via FLI, despite no substantial differences regarding FLI correlations with metabolic biomarkers except for age, women showed marked lower FLI cut-off value (32; AUC = 0.80) than men (60; AUC = 0.80).ConclusionsIn this study, we found that FLI is the best non-invasive predictor of both liver steatosis and MASLD. The finding that in women FLI cut-off value for MASLD detection is 50% lower than in men suggests the need of a sex-specific personalized program of screening and prevention of dysmetabolism-related liver diseases, despite outwardly healthy biomarkers profile.

Evaluating eight indicators for identifying metabolic syndrome in Chinese and American adolescents.

Early intervention and diagnosis of Metabolic Syndrome (MetS) are crucial for preventing adult cardiovascular disease. However, the optimal indicator for identifying MetS in adolescent remains controversial. In total,1408 Chinese adolescents and 3550 American adolescents aged 12-17 years were included. MetS was defined according to the modified version for adolescents based on Adult Treatment Panel III (NCEP-ATP III) criteria. Areas under the curve (AUC) and corresponding 95% confidence interval (95% CI) of 8 anthropometric/metabolic indexes, such as waist circumference (WC), body mass index (BMI), a body shape index (ABSI), waist triglyceride index (WTI), were calculated to illustrate their ability to differentiate MetS. Sensitivity analysis using the other MetS criteria was performed. Under the modified NCEP-ATP III criteria, WTI had the best discriminating ability in overall adolescents, with AUC of 0.922 (95% CI: 0.900-0.945) in Chinese and 0.959 (95% CI: 0.949-0.969) in American. In contrast, ABSI had the lowest AUCs. Results of sensitivity analysis were generally consistentfor the whole Chinese and American population, with the AUC for WC being the highest under some criteria, but it was not statistically different from that of WTI. WTI had relatively high discriminatory power for MetS detection in Chinese and American adolescents, but the performance of ABSI was poor. While many studies have compared the discriminatory power of some anthropometric indicators for MetS, there are few focused on pediatrics. The current study is the first to compare the discriminating ability of anthropometric/metabolic indicators (WC, BMI, TMI, ABSI, WHtR, VAI, WTI, and TyG) for MetS in adolescents. WTI remains the optimal indicator in screening for MetS in adolescents. WC was also a simple and reliable indicator when screening for MetS in adolescents, but the performance of ABSI was poor. This study provides a theoretical basis for the early identification of MetS in adolescents by adopting effective indicators.

Obesity and metabolic syndrome in patients with heart failure with preserved ejection fraction: a cross-sectional analysis of the Veradigm Cardiology Registry.

The proportion of heart failure patients with preserved ejection fraction has been rising over the past decades and has coincided with increases in the prevalence of obesity and metabolic syndrome. The relationship between these interconnected comorbidities and heart failure with preserved ejection fraction (HFpEF) is still poorly understood. This study characterized obesity and metabolic syndrome among real-world patients with HFpEF. We identified adults with heart failure in the Veradigm Cardiology Registry, previously the PINNACLE Registry, with a left ventricular ejection fraction measurement ≥ 50% between 01/01/2016 and 12/31/2019. Patients were stratified by obesity diagnosis and presence of metabolic syndrome (≥ 3 of the following: diabetes, hypertension, hyperlipidemia, and obesity). We captured baseline demographic and clinical characteristics and used multivariable logistic regression to examine the odds of having cardiac (atrial fibrillation, coronary artery disease, coronary artery bypass surgery, myocardial infarction, and stroke/transient ischemic attack) and non-cardiac (chronic kidney disease, chronic liver disease, and peripheral artery disease) comorbidities of interest. The models adjusted for age and sex, and the main covariates of interest were obesity and metabolic burden score (0-3 based on the presence of diabetes, hypertension, and hyperlipidemia). The models were run with and without an obesity*metabolic burden score interaction term. This study included 264,571 patients with HFpEF, of whom 55.7% had obesity, 52.5% had metabolic syndrome, 42.5% had both, and 34.3% had neither. After adjusting for age, sex, and burden of other metabolic syndrome-associated diagnoses, patients with HFpEF with obesity had lower odds of a diagnosis of other evaluated comorbidities relative to patients without obesity. The presence of metabolic syndrome in HFpEF appears to increase comorbidity burden as each additional metabolic syndrome-associated diagnosis was associated with higher odds of assessed comorbidities except atrial fibrillation. Obesity was common among patients with HFpEF and not always co-occurring with metabolic syndrome. Multivariable analysis suggested that patients with obesity may develop HFpEF in the absence of other driving factors such as cardiovascular disease or metabolic syndrome.

Clinical Significance of the Lipid Profile Ratios and Triglyceride Glucose Index in the Diagnosis of Metabolic Syndrome.

Introduction: Metabolic syndrome (MetS) is a pathophysiological condition defined by a set of metabolic alterations such as hypertriglyceridemia, hyperglycemia, hypertension, low HDL-c levels, and visceral obesity. Its presence identifies people with an increased risk of developing cardiovascular diseases and type 2 diabetes; however, the lack of practical and reliable methods for its diagnosis limits the identification of people with this condition. In this sense, the objective of this study was to analyze the diagnostic utility of markers derived from the lipid profile [triglyceride-glucose (TyG) index and the ratios total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-c), triglyceride (TG)/HDL-c, low-density lipoprotein cholesterol/HDL-c, fasting blood glucose (FBG)/HDL-c, and white blood cell/HDL-c] in the determination of MetS. Methods: A retrospective study was designed that included 619 individuals. A logistic regression model was used to evaluate the associations of the different markers with MetS, and the cutoff points of the markers were determined through an analysis of receiver operating characteristic curves and the Youden Index. Results: A positive and significant association was observed between all markers and the presence of MetS. The cutoff values for the markers that best predicted MetS were TyG ≥ 4.8 (sensitivity = 91.4%, specificity = 74.3%), TC/HDL-c ≥ 3.7 (sensitivity = 74.3%, specificity = 75.7%), TG/HDL-c ≥ 3.3 (sensitivity = 82.5%, specificity = 84.0%), and FBG/HDL-c ≥ 2.0 (sensitivity = 85.1%, specificity = 79.7%). Conclusion: Our study demonstrated the diagnostic relevance of the different markers in detecting MetS, suggesting that these ratios may be useful in clinical practice for the opportune and accurate diagnosis of MetS.

Knowledge interface co-design of a diabetes and metabolic syndrome initiative with and for Aboriginal people living on Ngarrindjeri country

ObjectivesThis research program involves two phases to identify enablers and barriers to diabetes care for Aboriginal people on Ngarrindjeri country; and co-design a strength-based metabolic syndrome and Type 2 Diabetes (T2D) remission program with the Ngarrindjeri community. Study designA study protocol on qualitative research. MethodsThe study will recruit Aboriginal people living on Ngarrindjeri country above 18 years of age with a diagnosis of metabolic syndrome or T2D. Recruitment for phases one and two will occur through the Aboriginal Health Team at the Riverland Mallee Coorong Local Health Network. The lived experiences of T2D will be explored with 10–15 Aboriginal participants, through an Aboriginal conversational technique called ‘yarning’ (60–90 min) in phase 1. Elders and senior community representatives (n = 20–30) will participate in four co-design workshops (2–4 h) in phase 2. Qualitative data will be transcribed and thematically analysed (NVivo version 12). The analysis will focus on protective factors for the Cultural Determinants of Health. Ethics approval was obtained from Aboriginal Health Research Ethics Committee in South Australia (04-22-1009), and Flinders University Human Research Ethics Committee (5847). ResultsThis work will be used to pilot the co-designed diabetes remission trial. Outcomes will be published in peer-reviewed journals, presented at conferences, focusing on following best practice guidelines from the Australian Institute of Aboriginal and Torres Strait Islander Studies and National Health and Medical Research Council. Research translation will occur through digital posters, manuals, and infographics. ConclusionsThe findings will be summarised to all Aboriginal organisations involved in this study, along with peak bodies, stakeholders, Aboriginal Services, and interested participants.

CENTRAL CORNEAL THICKNESS IN METABOLIC SYNDROME POPULATION, NON-METABOLIC SYNDROME POPULATION, AND DIFFERENT BODY MASS INDEX POPULATION

Introduction & ObjectivesCentral corneal Thickness (CCT) is associated with many factors including systemic disease. Thisstudy aims to evaluate and compare the CCT values in Metabolic Syndrome (MS) population, Non-Metabolic Syndrome (non-MS) population, and all different Body Mass Index (BMI) population.
 MethodsThis population-based & community service-based cross sectional study, conducted on September-November 2019 in 3 rural areas of Malang. Written informed consent was obtained from all subjects.CCT was measured with ultrasound pachymeter. The diagnosis of MS was based on InternationalDiabetes Foundation 2006 criteria. Subjects were classified into 2 groups by MS and non-MS, alsostratifed by BMI, gender, and age. Differences in CCT value between groups based on MS & non-MS, BMI, age, and gender were analyzed.
 ResultsA total of 890 subjects aged ? 40 years old were included in this study, whereas 400 subjects werediagnosed as MS (44.9%) and 490 (55.1%) others as non-MS. Mean CCT of MS were significantlygreater than that of non-MS (549.743±43.22 ?m, P<0.05). Mean CCT of obese subjects weresignificantly greatest among other BMI groups (549.036±48.31 ?m, P<0.05). Mean CCT in womenwere significantly greater than that in men (546.268±39, P<0.05). Mean CCT of subjects aged 40–49years were significantly greatest among other age groups (551.278±33,33, P<0.05).
 ConclusionMS population had greater CCT value as compare to non-MS population. Obese population hadgreatest CCT value than overweight, normal, and underweight population. These findings may haveimplications for understanding the relationship between CCT changes and metabolic syndrome, aswell as BMI.

THE RELATIONSHIP OF PUPIL SIZE WITH REFRACTIVE EROR IN METABOLIC SYNDROME AND NON-METABOLIC SYNDROME: POPULATION AMONG RURAL POPULATION IN MALANG

Purpose: This study aims to assess the relationships between pupil size and refractive errors in both metabolic syndrome and non-metabolic syndrome populations residing in rural areas of Malang.
 Methods: A descriptive study was carried out in 2019 across three villages in Malang districts. All attending participants underwent a comprehensive ocular examination, including pupil size assessment. Pupil abnormalities were defined as deviations from the normal diameter of 2-4 mm in bright light. Clinically relevant refractive errors included hyperopia (SphEq value ? 0.25 D), myopia (SphEq value ? -0.25 D), and astigmatism (cylinder ? 0.25 D). Blood samples gauged serum fasting glucose, high-density lipoprotein cholesterol, and triglyceride levels. Waist circumference, systolic, and diastolic blood pressure were measured. Metabolic Syndrome diagnosis followed the 2006 International Diabetes Foundation criteria. Participants were categorized into metabolic syndrome and non-metabolic syndrome groups.
 Results: The examination involved 953 participants, encompassing 944 right eyes and 942 left eyes. For the right eye, 434 eyes showed emmetropia, 252 exhibited myopia, 141 had hyperopia, and 117 presented astigmatism. Pupillary abnormalities were linked to astigmatism, but lacked significance (p = 0.893). The left eye results indicated 444 eyes with emmetropia, 244 with myopia, 138 with hyperopia, and 116 with astigmatism. Correlation with pupillary abnormalities yielded a non-significant p-value of 0.864. Pupil size outcomes in metabolic syndrome (499 eyes) and non-metabolic syndrome (454 eyes) were not significant (p = 0.649).
 Conclusion: Refractive error does not correlate with pupil size in metabolic syndrome and nonmetabolic syndrome.

Cutoff Point Measurement of the waist circumference for the diagnosis of Metabolic Syndrome in Iraqi university students

Background: Metabolic syndrome (MetS) is a collection of connected cardiovascular risk factors that characterizes the complicated illness. The waist circumference cutoff point fluctuation has so far defined Mets. Objective: This study aimed to determine the cutoff point for WC in healthy Iraqi adults. Methods: This cross-sectional survey establishes the standard value for WC among 300 healthy university students in Wasit city, Iraq. They are aged between 18-25 years. The receiver operator characteristic (ROC) curve was used WC to predict the presence of two or more risk factors for MetS, as defined by IDF. Results: The cutoff level yielding maximum sensitivity and specificity for predicting the presence of multiple risk factors was 82.5cm in females (sensitivity 65%, specificity 70%) and 91cm in males(sensitivity 50%, specificity 75%). Conclusion: Results propose that 82.5cm for females and 91cm for males represent the ideal WC cutoff points for diagnosing MetS in young adult participants from Iraq.

The Psychological Impact on Parents of Children who Receive an Inconclusive Diagnosis for Cystic Fibrosis following Newborn Screening: A Systematic Mini-Review.

Newborn screening (NBS) has been available for the diagnosis of cystic fibrosis (CF) over the last decades. Through the implementation of NBS, a new designation emerged, that of CF related metabolic syndrome (CRMS) or cystic fibrosis screen positive inconclusive diagnosis (CFSPID). As there is uncertainty regarding the clinical progression of these infants to CF, some studies have investigated the psychological impact of CRMS/CFSPID on their parents. This systematic narrative review aimed to describe the findings of the relevant studies. The number of studies is limited and the study samples are relatively small. It seems that there is a negative impact of CRMS/CFSPID on parental mental health. While some studies indicated similar levels of parental anxiety among those with infants diagnosed with CF and those with CRMS/CFSPID, not all studies reached the same conclusion. Parental uncertainty represents another mental dimension of the impact associated with the designation of CRMS/CFSPID. These observations suggest that parents of infants with CRMS/CFSPID should be provided with effective communication, and it may also be beneficial to consider parental mental screening. More robust and long-term studies are required to detect differences in parental emotional status between those with infants diagnosed with CF and those with CRMS/CFSPID.

Cerebral hemodynamic disorders in patients with schizophrenia with concomitant metabolic syndrome

To identify the differences or comparability of parameters of cerebral hemodynamics between patients with schizophrenia with or without concomitant metabolic syndrome (MS). The study included 94 patients with schizophrenia (48 men and 46 women). A control group consisted of 40 mentally and somatically healthy individuals (17 men and 23 women) comparable in sex and age to the main group of patients. The diagnosis of metabolic syndrome was carried out according to the criteria of the International Diabetes Federation (IDF). Assessment of cerebral hemodynamics was carried out by 4 - channel rheoencephalography (REG) at rest with closed eyes. Data analysis was carried out using the Kraskel-Wallis ANOVA criterion with the procedure of automatic a posteriori pairwise comparison, the χ2 criterion and Spearman correlation analysis. According to the IDF criteria, 37 (39.4%) patients were diagnosed with MS. REG results revealed significantly (p<0.05) lower indicators of blood filling in the carotid basin, elasticity of the wall of the main arteries, the tone of small-caliber arteries and arterioles, as well as higher values of the tone of medium-caliber arteries in the carotid and vertebrobasilar basins, in both groups of patients with schizophrenia compared with the control group. In patients with schizophrenia with MS, compared with patients without MS, there were lower indicators of blood filling (p=0.044 and p=0.016) and elasticity of the wall of the main arteries (p=0.044 and p=0.028) in the carotid basin on the left and right sides. The presence of MS in patients with schizophrenia was accompanied by more pronounced disorders of cerebral blood flow in the form of a decrease in blood filling and elasticity of the wall of the main arteries in the carotid basin. The results indicate that patients with schizophrenia with MS should be considered as a group at increased risk of cerebrovascular diseases.

Metabolic Syndrome and Positive Frailty Screening: A Cross-Sectional Study with Community-Dwelling Older Adults.

Metabolic Syndrome is a set of disorders that characterized by the association of three or more risk factors, like the obesity central, dyslipidemia, borderline blood pressure, hyperglycemia, and the increase of triglycerides. However, these factors also can be associated with pathophysiology of frailty. verifying whether the metabolic syndrome is associated to the positive frailty screening in the older people. Cross-sectional study. Participants: 443 older people living in Rio Branco, Brazil. Data collection was carried out in two stages: a personal interview and blood collection. The diagnosis of metabolic syndrome was based on the criteria of the Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults. The frailty screening was performed using subjective questions validated in a previous study. Descriptive statistics and multinomial logistic regression were used for data analyses. There was a predominance of female older people (69.07%), aged between 60 and 79 years (87.13%), with an income greater than or equal to one minimum wage (72.09%), no cognitive decline (75.94%) and depressive symptoms (63.31%), independent for BADL (86.46%) and dependent for IADL (51.69%). From the total sample, 56.88% of the older people were identified as frail, 34.09% pre-frail and 9.03% non frail. The prevalence of metabolic syndrome was 51.69%. After adjusting by the independent variables, an association between metabolic syndrome and pre-frailty was observed, and older people with metabolic syndrome were more likely to be prefrail (RRR=2.36; 95%CI=1.08-5.18). The metabolic syndrome was associated to the increase chance of screening for prefrailty in the older people evaluated, which reinforces the needy to establish preventive measures in relation to the metabolic syndrome to avoid frailty in the older people.

МЕТАБОЛИЧЕСКИЙ СИНДРОМ: ЭТИОЛОГИЯ, ПАТОГЕНЕЗ И МЕТОДЫ МОДЕЛИРОВАНИЯ (ОБЗОР ЛИТЕРАТУРЫ)

The scientific literature review explores risk factors, pathogenesis, clinical diagnosis, and therapy of metabolic syndrome, along with recreating this pathology in animal models. The global prevalence of metabolic syndrome and its association with cardiovascular diseases, contributing to increased disability and mortality, underscores the need for innovative prevention and treatment approaches through experimental animal models. Drawing from open literature sources, the authors discuss contemporary approaches to understanding pathogenesis, diagnosis, prevention, treatment, and experimental methods for studying metabolic syndrome.

Adherence to the healthy eating index-2010 and alternative healthy eating index-2010 in relation to metabolic syndrome among African Americans in the Jackson heart study.

The primary objective of this study was to determine whether Healthy Eating Index (HEI) and Alternative Healthy Eating Index (AHEI) scores were associated with incident metabolic syndrome. This study is a secondary analysis of data from the Jackson Heart Study. HEI and AHEI scores were divided into quintiles and Cox proportional hazards regression models were analysed for 1864 African American adults free from metabolic syndrome at Exam 1 to examine the incidence of metabolic syndrome by quintile of dietary quality score. Hinds, Madison and Rankin counties, Mississippi, USA. African American adults, ages 21-94 years, 60·9 % female. Over a mean follow-up time of 6·7 years, we observed 932 incident cases of metabolic syndrome. After adjusting for multiple covariates, a higher HEI score at Exam 1 was not associated with the risk of incident metabolic syndrome, except when looking at the trend analysis for the subgroup of adults with two metabolic syndrome components at Exam 1 (P-trend = 0·03). A higher AHEI score at Exam 1 was associated with the risk of incident metabolic syndrome (hazard ratio for those in the highest quintile compared to the lowest: 0·80 (95 % CI: 0·65, 0·99), P-trend = 0·03). These findings suggest that a dietary pattern that scores higher on the AHEI may help reduce the risk of metabolic syndrome, even for adults who already have two of the minimum of three components required for a diagnosis of metabolic syndrome.

Visfatin as an Early Marker for the Diagnosis of Metabolic Syndrome in Obese Adults: A Cross-sectional Study

Visfatin as an Early Marker for the Diagnosis of Metabolic Syndrome in Obese Adults: A Cross-sectional Study

Uric acid to HDL ratio: A marker for predicting incidence of metabolic syndrome in patients with type II diabetes

Background and aimMetabolic syndrome (MetS) refers to existence of a set of risk factors for developing cardiovascular disease and diabetes. Recently, uric acid to HDL ratio has attracted attention in predicting development of diabetes and incidence of metabolic syndrome in diabetic individuals. This study was performed to investigate UHR in patients with type II diabetes as a predicting factor for metabolic syndrome. Methods and resultsThis descriptive-analytical study examined 300 patients with type II diabetes referring to diabetes clinic of Ali-Ibn Abi-Talib hospital, Rafsanjan city in 2021, selected through convenient sampling. Data were collected by a research-made checklist (including demographic, clinical and laboratory parameters) and analyzed by SPSS 24 and chi-square, Fisher exact test, independent paired t-test, one-way analysis of variance (ANOVA), Mann-Whitney U, and receiver operating characteristic (ROC). The findings revealed that 74.33 % (95 % CI: 69 to 79.18 %) of the patients had metabolic syndrome. Further, patients with metabolic syndrome demonstrated a significantly higher mean UHR ratio and triglyceride levels compared to their counterparts without the syndrome (p = 0.002 and p < 0.001, respectively). The ROC analysis identified a UHR threshold of 8.118 % with a sensitivity of 70.32 % and specificity of 55.08 % for diagnosing metabolic syndrome development in type II diabetes (AUC: 0.621, P = 0.001, 95%CI: 0.549–0.694). ConclusionThe results of the present study revealed that the prevalence of metabolic syndrome was high in diabetic patients. UHR showed good sensitivity in the diagnosis of metabolic syndrome in type II diabetes. Thus, regular monitoring of laboratory tests is recommended in patients with diabetes.

Immunological indicators in patients with vibrational disease and metabolic syndrome

Introduction. Workers with vibration disease (VD) are at greater risk of developing metabolic syndrome (MS). Timely diagnosis and prevention of MS accompanying VD is very important, since medical measures at the early period can not only stop the occurrence of complications, but also contribute to the reverse development of individual symptoms. Currently, the state of the immune system of VD patients with MS remains one of the poorly studied questions.&#x0D; Materials and methods. Serum cytokines: IL-1β, IL-2, IL-4, IL-8, IL-10, IL-17, TNF-α, INF-γ were determined by ELISA.&#x0D; Results. A significant increase in IL-1β, IL-4, IL-17, TNF-α relative to the comparison group was found in VD patients with MS and in those with VD without MS. However, no statistically significant differences were found in the intergroup comparison of cytokines, while a pronounced tendency to increase changes in the cytokine profile in persons with VD aggravated with MS is noteworthy. Depending on the duration of vibration exposure, hyperproduction of IL-17, TNF-α, IL-4 and a decrease in INF-γ in the highly trained group were noted if compared with less trained workers. A negative correlation relationship between vibration experience and IL-8 content was revealed in VD patients with MS with less than 20 years of experience. If the duration of work is more than 20 years in VD persons with MS, there are direct correlations between experience and IL-4 and IL-17 levels and feedback with the concentration of INF-γ.&#x0D; Limitations. The limitations of this work are small groups of employees.&#x0D; Conclusion. Increased levels of pro- and anti-inflammatory cytokines in VD patients with MS indicate the activation of inflammation processes, in the mechanisms of induction of which, both a change in the reactivity of the immune system and a violation of metabolic processes in workers with prolonged exposure to physical factors may play a role.

Metabolic syndrome and breast cancer risk

BackgroundLimited data are available on metabolic syndrome and its relation to breast cancer risk in Egypt. We aimed to study metabolic syndrome and its individual components as risk of breast cancer.MethodsThis case–control study recruited 112 breast cancer cases and 112 age-matched controls from Assiut University. In addition to demographic, clinical, and anthropoemetric characteristics, blood samples were collected from both study groups to evaluate metabolic syndrome and its individual components.ResultsMean age of breast cancer cases and control groups was 46.10 ± 4.34 and 45.66 ± 4.68 years, respectively. According to Joint Interim Statement (JIS) criteria for clinical diagnosis of metabolic syndrome, the overall prevalence of metabolic syndrome in all participants was 42.9%, and prevalence in breast cancer cases and control group was 57.14% and 28.6%, respectively, OR 33.33, 95% CI (1.91–5.81). BMI was more likely to be higher in breast cancer patients with a linear trend, p < 0.001. For individual components of metabolic syndrome, breast cancer cases were more likely to have high fasting blood glucose level, systolic and/or diastolic blood pressure, high triglycerides level, and low HDL-C as compared to the control group.ConclusionMetabolic syndrome and its components were found to be associated with the risk of breast cancer. We believe that prevention or reversal of metabolic syndrome by raising community awareness for lifestyle changes could be an effective way in minimizing the toll of the disease.

Relationships between body composition, anthropometrics, and standard lipid panels in a normative population.

More than one third of adults in the United States (US) meet the clinical criteria for a diagnosis of metabolic syndrome, but often diagnosis is challenging due to healthcare access, costs and discomfort with the process and invasiveness associated with a standard medical examination. Less invasive and more accessible approaches to collecting biometric data may have utility in identifying individuals at risk of diagnoses, such as metabolic syndrome or dyslipidemia diagnoses. Body composition is one such source of biometric data that can be non-invasively acquired in a home or community setting that may provide insight into an individual's propensity for a metabolic syndrome diagnosis. Here we investigate possible associations between body composition, anthropometrics and lipid panels in a normative population. Healthy participants visited the Lab100 clinic location at a hospital setting in New York City and engaged in a wellness visit led by a nurse practitioner. Blood was analyzed at point-of-care using the Abbott Piccolo Xpress portable diagnostic analyzer (Abbott Laboratories, IL, USA) and produced direct measures of total cholesterol (TC), high density lipoprotein (HDL-C), low density lipoprotein (LDL-C), very-low density lipoprotein (VLDL-C), and triglycerides (TG). Body composition and anthropometric data were collected using two separate pieces of equipment during the same visit (Fit3D and InBody570). Regression analysis was performed to evaluate associations between all variables, after adjusting for age, sex, race, AUDIT-C total score (alcohol use), and current smoking status. Data from 199 participants were included in the analysis. After adjusting for variables, percentage body fat (%BF) and visceral fat levels were significantly associated with every laboratory lipid value, while waist-to-hip ratio also showed some significant associations. The strongest associations were detected between %BF and VLDL-C cholesterol levels (t = 4.53, p = 0.0001) and Triglyceride levels (t = 4.51, p = 0.0001). This initial, exploratory analysis shows early feasibility in using body composition and anthropometric data, that can easily be acquired in community settings, to identify people with dyslipidemia in a normative population.

Employing broad learning and non-invasive risk factor to improve the early diagnosis of metabolic syndrome

Metabolic syndrome (MetS) as a multifactorial disease is highly prevalent in countries and individuals. Monitoring the conventional risk factors (CRFs) would be a cost-effective strategy to target the increasing prevalence of MetS and the potential of noninvasive CRF for precisely detection of MetS in the early stage remains to be explored. From large-scale multicenter MetS clinical dataset, we discover 15 non-invasive CRFs which have strong relevance with MetS and first propose a broad learning-based approach named Genetic Programming Collaborative-competitive Broad Learning System (GP-CCBLS) with noninvasive CRF for early detection of MetS. The proposed GP-CCBLS model can significantly boost the detection performance and achieve the accuracy of 80.54%. This study supports the potential clinical validity of noninvasive CRF to complement general diagnostic criteria for early detecting the MetS and also illustrates possible strength of broad learning in disease diagnosis comparing with other machine learning approaches.