It can be concluded that these two devices showed similar performances. They were time-saving and standardized techniques, especially for reducing preanalytical errors such as the study time, centrifugation, and specimen volume for sedimentary analysis; however, the automated systems are still inadequate for classifying the cells that are present in pathological urine specimens.
Type 2 diabetes mellitus is a major global public health burden. A complex metabolic disease, type 2 diabetes affects multiple different tissues, demanding a "systems medicine" approach to biomarker and novel diagnostic discovery, not to mention data integration across omics-es. In the present study, transcriptomics data from different tissues including beta-cells, pancreatic islets, arterial tissue, peripheral blood mononuclear cells, liver, and skeletal muscle of 228 samples were integrated with protein-protein interaction data and genome scale metabolic models to unravel the molecular and tissue-specific biomarker signatures of type 2 diabetes mellitus. Classifying differentially expressed genes, reconstruction and topological analysis of active protein-protein interaction subnetworks indicated that genomic reprogramming depends on the type of tissue, whereas there are common signatures at different levels. Among all tissue and cell types, Mannosidase Alpha Class 1A Member 2 was the common signature at genome level, and activation-ppara reaction, which stimulates a nuclear receptor protein, was found out as the mutual reporter at metabolic level. Moreover, miR-335 and miR-16-5p came into prominence in regulation of transcription at different tissues. On the other hand, distinct signatures were observed for different tissues at the metabolome level. Various coenzyme-A derivatives were significantly enriched metabolites in pancreatic islets, whereas skeletal muscle was enriched for cholesterol, malate, L-carnitine, and several amino acids. Results have showed utmost importance concerning relations between T2D and cancer, blood coagulation, neurodegenerative diseases, and specific metabolic and signaling pathways.
BackgroundChildhood obesity characterized by excessive fat in the body is one of the most serious health problems worldwide due to the social, medical, and physiological complications. Obesity and associated diseases are triggering factors for oxidative stress and inflammation. The aim of this study was to explore the possible association between childhood obesity and inflammatory and oxidative status.Material/MethodsThirty-seven obese children and 37 healthy controls selected from among children admitted to BLIND University Paediatrics Department were included in the study. Anthropometric measurements were performed using standard methods. Glucose, lipid parameters, CRP, insulin, total oxidant status (TOS), total anti-oxidant status (TAS) levels, and total thiol levels (TTL) were measured in serum. HOMA index (HOMA-IR) were calculated. The differences between the groups were evaluated statistically using the Mann-Whitney U test.ResultsBody mass index was significantly higher in the obese group (median: 28.31(p<0.001). Glucose metabolism, insulin, and HOMA-IR levels were significantly higher in the obese group (both p<0.001). Total cholesterol, HDL cholesterol, LDL cholesterol, and triglyceride levels were significantly higher in the obese group (p<0.001). TAS (med: 2.5 μmol Trolox eq/L (1.7–3.3)) and TOS (med: 49.1 μmol H2O2 eq/L (34.5–78.8)) levels and TTL (med: 0.22 mmol/L (0.16–0.26)) were significantly higher in the obese group (p=0.001). CRP levels showed positive correlation with TOS and negative correlation with TTL levels (p=0.005, r=0.473; p=0.01, r=−0.417; respectively). TTL levels exhibited negative correlation with TOS levels (p=0.03, r=−0.347).ConclusionsIn conclusion, obese children were exposed to more oxidative burden than children with normal weight. Increased systemic oxidative stress induced by childhood obesity can cause development of obesity-related complications and diseases. Widely focussed studies are required on the use of oxidative parameters as early prognostic parameters in detection of obesity-related complications.
Eyelid myoclonia with absences (EMA) and juvenile myoclonic epilepsy (JME) are two separate epileptic syndromes included in the new classification of epilepsies and epileptic syndromes by ILAE in 2001. Both are idiopathic generalized epilepsies with their clinical onset in the first two decades. EMA is characterized by eyelid myoclonia associated with absences and photosensitivity. Self-induced seizures are frequently seen in EMA. It can be associated with mildly mental retardation and resistance to treatment. JME includes three types of generalized seizures: typical absences, myoclonic jerks and generalized tonic-clonic seizures. The myoclonic jerks occur almost exclusively on awakening, involve preferently the upper extremities, may rarely affect the lower extremities or the entire body. More severe attacks may be accompanied by a fall. The myoclonic jerks occur rarely in EMA. They are usually mild and are freqently restricted to the upper extremities. Generalized tonic-clonic seizures, photosensitivity and generalized polyspike-wave discharges provoked by eye closure are features of both epileptic syndromes. In this study, we describe four female patients with eyelid myoclonia associated with absences, myoclonic jerks causing falling down and rare generalized tonic-clonic seizures. All patients had good school performance and total seizure control under sodium valproate treatment. Their EEGs show generalized polyspike-wave discharges with a frequency of 3.5-6Hz always appearing a few seconds after eye closure and photoparoxysmal response. These patients show the characterictics of both epileptic syndromes. It is clinically important to make a syndromic diagnosis for an optimum advise on treatment, lifestyle restrictions and prognosis. In this study, we have gathered evidence that EMA and JME are dynamic syndromes that tend to evolve into one another.
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