A Potential Biomarker MicroRNAs in the Diagnosis of Some Psychiatric and Neurodegenerative Disorders

MicroRNAs (miRNAs) are a large endogenous, non-coding RNA class of 19-25 nucleotides. Mature miRNAs regulate target gene expression at both transcriptional and translational levels. As a current area of interest in molecular diagnostic research, microRNAs (miRNAs) have recently been shown to be effective circulatory biomarkers for many diseases. Major depressive disorder, Bipolar disorder, Schizophrenia, Obsessive compulsive disorder, Alzheimer's disease and Parkinson's disease are among the most common psychiatric and neurodegenerative disorders known to be a serious public health problem in terms of morbidity, mortality and functional handicap. MicroRNAs are aware of the events occurring in the cell as normal mechanical, physical and biochemical functions due to many psychiatric and other medical diseases, and are very promising as a biomarker for emerging disorders and neuropathological changes

Uyku apnesi hastalarının uyku pozisyonu verilerini kaydeden bir sistem tasarımı

Sleeping positions have a significant impact on exposure of apnea patients to sleep apnea. In this study, the sleeping position of the patient was read with the STM microcontroller by using the body position sensor (SleepSense 1/8" Plug DC Body Position Sensor Kit) produced by the sleep sense company. This sensor produces results with analog signals between 0-2V. This analog signal was read using the ADC feature of the microcontroller. This signal read by the microcontroller was sent to the computer via the USB port. The C# software prepared on the computer reads the data from the microcontroller and saves this data and the arrival time of the data to the bit TXT file. The data in this TXT file is ready to be evaluated by signal processing methods. These data, together with other data obtained from the polysomnography device, can be used to learn the body position of the patient at the time of apnea.Uyku apnesi hastalarının apneye girmelerinde yatış pozisyonlarının önemli bir etkisi vardır. Bu çalışmada sleep sense firmasının üretmiş olduğu vücut pozisyon sensörü (SleepSense 1/8" Plug DC Body Position Sensor Kit) kullanılarak hastanın yatış pozisyonu STM mikrodenetleyicisi ile okunmuştur. Bu sensör 0-2V arasında ürettiği anolog sinyallerle sonuç üretmektedir. Bu analog sinyal mikrodenetleyicinin ADC özelliği kullanılarak okunmuştur. Mikrodenetleyici tarafından okunan bu sinyal USB port üzerinden bilgisayara gönderilmiştir. Bilgisayarda hazırlanan C# yazılımı mikrodenetleyiciden gelen verileri okumakta ve bit TXT uzantılı dosyaya bu verileri ve verinin geliş saati ile birlikte kaydetmektedir. Bu TXT uzantılı dosya içerisindeki veriler sinyal işleme yöntemleri ile değerlendirilebilmek için hazır hale gelmiştir. Bu veriler, polisomnografi cihazından elde edilen diğer veriler ile birlikte hastanın apneye girdiği anlardaki vücut pozisyonu öğrenmek için kullanılabilecektir

According to the normal weight, overweight and obese comparison of bioelectric impedance analysis method with the other methods

Women are faced with the problem of obesity because of over-nutrition, still life and birth weight. To Assess overweight and obesity are used with Body mass index (BMI), waist circumference, waist/hip ratio and skinfold thickness measurement method and Bioelectrical impedance analysis method. The purpose of this study was to compare of the methods used to assess body composition in normal weight, overweight and obese in adults women. In this study participated adult women that the mean age of normal weight 25.70 ± 7.85 (N 17), overweight 32.47 ± 8.22 (N 36), obese 38.12 ± 8.95 (N 40) and total N 93. Subjects body composition were evaluated with Body mass index, waist circumference, waist/hip ratio and skinfold thickness measurements and measured using bioelectric impedance analysis. For statically analysis, One Way Anova and Tukey tests were performed. Significance level was accepted as 0.05 for all tests. According to the results of anthropometric measurements was found BMI, waist circumference, and bioelectrical impedance analysis method for all the groups differ (p >0.05), waist / hip ratio values were found to be different between normal weight and obese groups (p >0.05) that participated in the research. Body mass index and bioelectric impedance are important methods to detect of obesity, and the waist circumference be used together these methods to determine the abdominal obesity may be more useful