Diabetes mellitus type 2: Exploratory data analysis based on clinical reading

Diabetes mellitus type 2 (DMT2) is a severe and complex health problem. It is the most common type of diabetes. DMT2 is a chronic metabolic disorder that affects the way your body metabolizes sugar. With DMT2, your body either resists the effects of insulin or does not produce sufficient insulin to continue normal glucose levels. DMT2 is a disease that requires a multifactorial approach of controlling that includes lifestyle change and pharmacotherapy. Less than ideal management increases the risk of developing complications and comorbidities such as cardiovascular disease and numerous social and economic penalties. That is why the studies dedicated to the pathophysiological mechanisms and the treatment of DMT2 are extremely numerous and diverse. In this study, exploratory data analysis approaches are applied for the treatment of clinical and anthropometric readings of patients with DMT2. Since multivariate statistics is a well-known method for classification, modeling and interpretation of large collections of data, the major aim of the present study was to reveal latent relations between the objects of the investigation (group of patients and control group) and the variables describing the objects (clinical and anthropometric parameters). In the proposed method by the application of hierarchical cluster analysis and principal component analysis it is possible to identify reduced number of parameters which appear to be the most significant discriminant parameters to distinguish between four patterns of patients with DMT2. However, there is still lack of multivariate statistical studies using DMT2 data sets to assess different aspects of the problem like optimal rapid monitoring of the patients or specific separation of patients into patterns of similarity related to their health status which could be of help in preparation of data bases for DMT2 patients. The outcome from the study could be of custom for the selection of significant tests for rapid monitoring of patients and more detailed approach to the health status of DMT2 patients

Standardised data collection for clinical follow-up and assessment of outcomes in differences of sex development (DSD): recommendations from the COST action DSDnet

The treatment and care of individuals who have a difference of sex development (DSD) have been revised over the past two decades and new guidelines have been published. In order to study the impact of treatments and new forms of management in these rare and heterogeneous conditions, standardised assessment procedures across centres are needed. Diagnostic work-up and detailed genital phenotyping are crucial at first assessment. DSDs may affect general health, have associated features or lead to comorbidities which may only be observed through lifelong follow-up. The impact of medical treatments and surgical (non-) interventions warrants special attention in the context of critical review of current and future care. It is equally important to explore gender development early and refer to specialised services if needed. DSDs and the medical, psychological, cultural and familial ways of dealing with it may affect self-perception, self-esteem, and psychosexual function. Therefore, psychosocial support has become one of the cornerstones in the multidisciplinary management of DSD, but its impact remains to be assessed. Careful clinical evaluation and pooled data reporting in a global DSD registry will allow linking genetic, metabolomic, phenotypic and psychological data. For this purpose, our group of clinical experts and patient and parent representatives designed a template for structured longitudinal follow-up. In this paper, we explain the rationale behind the selection of the dataset. This tool provides guidance to professionals caring for individuals with a DSD and their families. At the same time, it collects the data needed for answering unsolved questions of patients, clinicians, and researchers. Ultimately, outcomes for defined subgroups of rare DSD conditions should be studied through large collaborative endeavours using a common protocol

Does an Association between the Idiopathic Left-Sided Varicocele and Eye Colour Exist?

The possible interrelation between male reproductive disorders and iris pigmentation is poorly understood. We have found a link between eye colour and the existence of adolescent varicocele. Therefore, we aimed to extend our investigation on the relationship between the eye colour and varicocele in adult men. 231 andrology outpatients from Caucasian origin were included in the study. The presence of varicocele, sperm disturbances, and the iris pigment of the patients were investigated. Left-sided varicocele was found in 93 adults. In the group of light-eyed men the prevalence of varicocele was significantly lower than among the dark-eyed men (15% versus 59.5%, P<0.001). No associations were found between the eye colour and disturbances in semen parameters in males with varicocele (P=0.419) and in those without varicocele (P=0.586). The present results in adult men suggest that the prevalence of varicocele could be associated with the iris pigment. A possible genetic linkage between the eye colour and the susceptibility to some disorders like varicocele could not be excluded. However, the iris pigmentation seems not to have a direct relationship with the sperm disturbances

Membrane Melatonin Receptors Activated Cell Signaling in Physiology and Disease

The pineal hormone melatonin has attracted great scientific interest since its discovery in 1958. Despite the enormous number of basic and clinical studies the exact role of melatonin in respect to human physiology remains elusive. In humans, two high-affinity receptors for melatonin, MT1 and MT2, belonging to the family of G protein-coupled receptors (GPCRs) have been cloned and identified. The two receptor types activate Gi proteins and MT2 couples additionally to Gq proteins to modulate intracellular events. The individual effects of MT1 and MT2 receptor activation in a variety of cells are complemented by their ability to form homo- and heterodimers, the functional relevance of which is yet to be confirmed. Recently, several melatonin receptor genetic polymorphisms were discovered and implicated in pathology&mdash;for instance in type 2 diabetes, autoimmune disease, and cancer. The circadian patterns of melatonin secretion, its pleiotropic effects depending on cell type and condition, and the already demonstrated cross-talks of melatonin receptors with other signal transduction pathways further contribute to the perplexity of research on the role of the pineal hormone in humans. In this review we try to summarize the current knowledge on the membrane melatonin receptor activated cell signaling in physiology and pathology and their relevance to certain disease conditions including cancer

C-peptide levels and glycemic indices in COVID-19 patients

AbstractType 2 diabetes (T2DM) is a common comorbidity in COVID-19 patients, which could favor disease progression. Our study aimed to evaluate the impact of some glycemic biomarkers on characteristic features of COVID-19. Electronic medical records of patients consecutively admitted to a COVID-19 ward were analyzed. Demographic and anthropometric as well as clinical and laboratory parameters were obtained. T2DM was present in 47% of the patients, with 22.58% of diabetic patients being newly diagnosed at admission. The most important predictors of severe COVID-19 were age (OR 1.214 [1.078-1.366], p = 0.001), creatinine levels (OR 1.018 [1.003-1.034], p = 0.017), glucose above 7.0 mmol/L at admission (OR 7.800 [2.232-27.255], p = 0.001) and HbA1c ≥ 6.5% (OR 4.840 [1.428-16.405], p = 0.011) irrespective of the presence of DM. C-peptide levels correlated positively with age, creatinine level, the severity of hypoxia and ferritin levels of patients (p < 0.05 for all) and appeared to be a significant predictor of leukocytosis. Suboptimal glycemic indices and impaired kidney function might predict COVID-19 disease worsening. Early detection of DM and optimization of glycemic control in diabetic patients should be among the priorities of the public health systems during COVID-19 pandemics

Decreased Daily Melatonin Levels in Women with Systemic Lupus Erythematosus - A Short Report

Background: The neuroendocrine system is known to influence immunity, but the precise interactions between different hormones and autoimmune disorders remain obscure. Aims: The present study aimed to investigate the role of daily serum melatonin concentrations in the development of systemic lupus erythematosus (SLE) in women. Study Design: Case-control study Methods: One-hundred and eleven SLE female patients and 46 healthy women were included in the study. Daily serum melatonin levels were investigated in all participants. Results: SLE patients showed significantly lower daily melatonin levels in comparison to healthy women during the short photoperiod (17.75±7.13 pg/mL [16.05] vs. 21.63±6.60 pg/mL [20.10], p=0.012). Hormone concentrations were inversely related to the SLE activity index (SLEDAI) (r= -0.268, p=0.004), but they did not correlate to any particular American College Rheumatology (ACR) criterion (p>0.05 for all). Conclusion: Daily melatonin levels were decreased in women with systemic lupus erythematosus and correlated inversely to the activity of the autoimmune disease. Further studies are needed to clarify the importance of the pineal and extrapineal melatonin secretion in patients with systemic lupus erythematosus as well as the interrelations between hormones and autoimmunity

Multivariate Statistical Approach for Nephrines in Women with Obesity

Catecholamines are physiological regulators of carbohydrate and lipid metabolism during stress, but their chronic influence on metabolic changes in obese patients is still not clarified. The present study aimed to establish the associations between the catecholamine metabolites and metabolic syndrome (MS) components in obese women as well as to reveal the possible hidden subgroups of patients through hierarchical cluster analysis and principal component analysis. The 24-h urine excretion of metanephrine and normetanephrine was investigated in 150 obese women (54 non diabetic without MS, 70 non-diabetic with MS and 26 with type 2 diabetes). The interrelations between carbohydrate disturbances, metabolic syndrome components and stress response hormones were studied. Exploratory data analysis was used to determine different patterns of similarities among the patients. Normetanephrine concentrations were significantly increased in postmenopausal patients and in women with morbid obesity, type 2 diabetes, and hypertension but not with prediabetes. Both metanephrine and normetanephrine levels were positively associated with glucose concentrations one hour after glucose load irrespectively of the insulin levels. The exploratory data analysis showed different risk subgroups among the investigated obese women. The development of predictive tools that include not only traditional metabolic risk factors, but also markers of stress response systems might help for specific risk estimation in obesity patients