The effects of metformın, acetylsalıcylıc acıd and ıbuprofen on telomerase enzyme actıvıty: ınhıbıtory effect of ıbuprofen

Telomerase enzyme is necessary for the elongation of telomeres while telomerase being critical for aging and cancer. Metformin, ibuprofen, and acetylsalicylic acid used in this research are drugs that millions of people already use and that many are likely to use in future. In this study, the effects of these drugs on telomerase activity of Mus musculus swiss albino mice in liver tissue were investigated and the telomerase activity was measured with a PCR-ELISA based kit. In the study a possible connection between telomerase enzyme activity and activities of antioxidant enzymes was also investigated by determining the activity of superoxide dismutase (SOD) and catalase enzymes. The data obtained show that metformin slightly decreased telomerase enzyme activity in low dose application; however, this change was not statistically significant. In ibuprofen application, there was a significant inhibitory effect when high doses were used; whereas, there was a slight inhibitory effect at low doses. In acetylsalicylic acid application, a slight activator effect was detected; it was not statistically significant, though. Metformin was observed to increase catalase and SOD activities in general while low and high doses of acetyl salicylic acid showed different effects. In addition, ibuprofen caused a statistically significant increase in liver SOD values. It is important to note that this study demonstrated a significant inhibitory effect of ibuprofen on telomerase enzyme activity in animal models

The positioning performance of low-cost GNSS receivers in the Precise Point Positioning method

Satellite-based positioning, which started being developed in the mid-1960s for military purposes, is now used in almost every area. For the studies single and/or double frequency receivers are used. The cost of a receiver and antenna couple that have capable of high coordinate accuracies ranges from $3000 to$15000. With the production of Original Equipment Manufacturer (OEM) receivers, the cost of satellite-based location determination decreases to approximately one in 10 for the civilian user compared to the operations performed with geodetic receivers and antennas. However, although these receivers collect data in multi-Global Navigation Satellite System (GNSS) and frequencies, the accuracy of the coordinate values estimated is not as high as geodetic receivers and antennas. Therefore, it is necessary to carry out an accuracy study to obtain information about which studies can be used in. In this study, measurements were made at the UZEL point located on the roof of the Yıldız Technical University Geomatics Engineering Department by using the ZED-F9P-02B OEM multi GNSS receiver and ANN-MB L1/L2 multi-band GNSS patch antenna. The performance of the test results has been examined by comparing the results from CSRS(Canadian Spatial Reference System)-PPP with the coordinates of the UZEL point. As a result of the comparison, the difference between the coordinate determined with collected 3.5 hr data and the coordinates of the UZEL point has been determined as – 1.4 cm, 2.8 cm, and 9.3 cm in the East, North, and Height directions, respectivel

Regression and ANN models for estimating minimum value of machining performance

Surface roughness is one of the most common performance measurements in machining process and an effective parameter in representing the quality of machined surface. The minimization of the machining performance measurement such as surface roughness (Ra) must be formulated in the standard mathematical model. To predict the minimum Ra value, the process of modeling is taken in this study. The developed model deals with real experimental data of the Ra in the end milling machining process. Two modeling approaches, regression and Artificial Neural Network (ANN), are applied to predict the minimum Ra value. The results show that regression and ANN models have reduced the minimum Ra value of real experimental data by about 1.57% and 1.05%, respectively

Geographical barriers to timely diagnosis of cystic fibrosis and anxiety level of parents during newborn screening in Turkey

Background Despite the availability of cystic fibrosis (CF) screening countrywide, diagnostic delay is still a crucial issue. The objectives of this study were to explore the stages of the NBS process, determine the risk factors associated with diagnostic delay and evaluate parent anxiety and experience throughout the process. Methods This is a multicenter cross-sectional study. A questionnaire was completed by parents of newborns diagnosed with CF via NBS in 17 centers. Socio-demographic characteristics, parent knowledge and experiences related to NBS, sweat test availability in the region of residence, and time to the definitive CF diagnosis were assessed through this questionnaire. Parents' anxiety levels were evaluated through the State-Trait Anxiety Inventory scales 1 and 2. Delayed diagnosis (DD) was defined as a definite CF diagnosis beyond the 8th week of life. Predictors of delayed CF diagnosis were evaluated by univariate and multivariate analysis. Results A total of 220 CF patients diagnosed via NBS were enrolled; 82 (37.3%) babies had DD. Multivariable analysis indicated that residence in the Southeast Anatolia region of Turkey (OR = 10.79, 95% CI = 2.37-49.2) was associated with a higher incidence of DD compared with other regions in Turkey. Of the total, 216 (98.1%) of the caregivers regarded the NBS program as useful and 180 (82%) reported high anxiety levels. Conclusion The organization of newborn screening should take into account regional and socio-cultural characteristics to improve the early diagnosis of CF and also reduce the anxiety level of parents

The effect of COVID-19 on development of hair and nail disorders: a Turkish multicenter, controlled study

© 2022 the International Society of Dermatology.Background: A broad spectrum of skin diseases, including hair and nails, can be directly or indirectly triggered by COVID-19. It is aimed to examine the type and frequency of hair and nail disorders after COVID-19 infection. Methods: This is a multicenter study conducted on consecutive 2171 post-COVID-19 patients. Patients who developed hair and nail disorders and did not develop hair and nail disorders were recruited as subject and control groups. The type and frequency of hair and nail disorders were examined. Results: The rate of the previous admission in hospital due to COVID-19 was statistically significantly more common in patients who developed hair loss after getting infected with COVID-19 (P < 0.001). Telogen effluvium (85%) was the most common hair loss type followed by worsening of androgenetic alopecia (7%) after COVID-19 infection. The mean stress scores during and after getting infected with COVID-19 were 6.88 ± 2.77 and 3.64 ± 3.04, respectively, in the hair loss group and were 5.77 ± 3.18 and 2.81 ± 2.84, respectively, in the control group (P < 0.001, P < 0.001). The frequency of recurrent COVID-19 was statistically significantly higher in men with severe androgenetic alopecia (Grades 4–7 HNS) (P = 0.012; Odds ratio: 2.931 [1.222–7.027]). The most common nail disorders were leukonychia, onycholysis, Beau's lines, onychomadesis, and onychoschisis, respectively. The symptoms of COVID-19 were statistically significantly more common in patients having nail disorders after getting infected with COVID-19 when compared to the control group (P < 0.05). Conclusion: The development of both nail and hair disorders after COVID-19 seems to be related to a history of severe COVID-19

A snapshot of pediatric inpatients and outpatients with COVID-19: a point prevalence study from Turkey

This multi-center point prevalence study evaluated children who were diagnosed as having coronavirus disease 2019 (COVID-19). On February 2nd, 2022, inpatients and outpatients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were included in the study from 12 cities and 24 centers in Turkey. Of 8605 patients on February 2nd, 2022, in participating centers, 706 (8.2%) had COVID-19. The median age of the 706 patients was 92.50 months, 53.4% were female, and 76.7% were inpatients. The three most common symptoms of the patients with COVID-19 were fever (56.6%), cough (41.3%), and fatigue (27.5%). The three most common underlying chronic diseases (UCDs) were asthma (3.4%), neurologic disorders (3.3%), and obesity (2.6%). The SARS-CoV-2-related pneumoniae rate was 10.7%. The COVID-19 vaccination rate was 12.5% in all patients. Among patients aged over 12 years with access to the vaccine given by the Republic of Turkey Ministry of Health, the vaccination rate was 38.7%. Patients with UCDs presented with dyspnea and pneumoniae more frequently than those without UCDs (p < 0.001 for both). The rates of fever, diarrhea, and pneumoniae were higher in patients without COVID-19 vaccinations (p = 0.001, p = 0.012, and p = 0.027). Conclusion: To lessen the effects of the disease, all eligible children should receive the COVID-19 vaccine. The illness may specifically endanger children with UCDs. What is Known: • Children with COVID-19 mainly present with fever and cough, as in adults. • COVID-19 may specifically threaten children with underlying chronic diseases. What is New: • Children with obesity have a higher vaccination rate against COVID-19 than children without obesity. • Among unvaccinated children, fever and pneumoniae might be seen at a higher ratio than among vaccinated children