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Objective: Proteinuria reduction has been extensively studied in patients with chronic kidney disease. However, the effects of diuretic treatment on proteinuria are less welldocumented. This study aimed to evaluate the effects of strict volume control, achieved through diuretic therapy, on proteinuria among patients with proteinuric kidney disease and concurrent hypervolemia, as measured by bioimpedance analysis (BIA). Materials and Methods: This prospective study included patients with proteinuria as indicated by spot urine analysis, an overhydration (OH) value of >0 in BIA, and a treatment plan that included diuretics. The follow-up period extended from the initiation of diuretic therapy, prompted by hypervolemic status, to the achievement of normovolemia in each patient. Results: We evaluated 46 hypervolemic patients, of which 25 (54.3%) were men and 39 (64%) were women, with a mean age of 56.85±14.43 years (range 20 to 86 years). The median follow-up period was 12 days (range 5-90 days). After diuretic treatment, there was a statistically significant decrease in both systolic and diastolic blood pressure (p<0.001 for both). Initially, protein excretion in spot urine averaged 6.3 g (range 2.6-10.4 g); following volume control, proteinuria level decreased significantly to 1.5 g (range 0.6-2.9 g) (p<0.001). Additionally, regression analysis indicated a statistically significant association between the decrease in extracellular water and the decline in proteinuria levels (p=0.035). Conclusion: Our findings demonstrate that volume control, achieved through diuretic treatment, is associated with reductions in both proteinuria and blood pressure. [ABSTRACT FROM AUTHOR]

Objective: In obesity surgery, laparoscopic sleeve gastrectomy (LSG) is a frequently applied method. However, there are certain complications. Leakage is one of the most serious complications after surgery, causing postoperative morbidity and sometimes mortality. There is no consensus about management of leaks after LSG. In our study, we aimed to present our experience on the management of LSG leaks. Patients and Methods: Patients who underwent LSG between 2010-2017 in a tertiary university hospital were analyzed retrospectively. Demographic characteristics, endoscopic and surgical interventions, morbidity, and mortality rates of patients diagnosed with LSG leak were analyzed from prospectively recorded data. Results: Leak was observed in 11 (2.15%) of a total of 510 LSG patients. Six (54%) patients were diagnosed as acute and 5 were early leaks. Stent was applied to most of the patients (72%) with or without surgical exploration. The average length of stay in hospital was 21 days. Mortality was observed in 2 patients. Conclusions: Consequently, leakage after LSG is a complication that requires multimodal therapy. Surgical treatment combined with endoscopic intervention may increase success. [ABSTRACT FROM AUTHOR]

Objective: This project aims to develop a wearable device to suppress both the essential and resting tremor and investigate its effectiveness. Materials and Methods: This study details the development and assessment of a wearable device for upper extremity tremors. The wearable device underwent a comprehensive design and a prototype was produced with a 3D-printer. To refine the functionality of the prototype, a motor that mimics tremor was attached to a 3D-printed prototype. Then, the printed prototype was applied to the hand model, and tested its effectiveness for tremor suppressing. The wearable device was further investigated on patients with essential tremor and Parkinson's disease seeking treatment at Neurology Clinics. We recorded the tremor data and processed and visualized the recorded data by using the MatLab (version R2021a, MathWorks Inc., USA) software. Results: The wearable device effectively decreased the tremors both during the simulation phase and the patient testing phase. The data from the wearable device revealed a notable decrease in the amplitude of the tremor. This decrease signifies an achievement of tremor suppression. Conclusion: The prototype of the wearable device signifies a remarkable efficacy in tremor supression. It holds promise for being a potential solution to alleviate the tremor symptoms of essential tremor and Parkinson's disease patients. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) is a multisystem disease of global significance. Interleukin (IL)-6 is a soluble cytokine with a pleiotropic effect on inflammation and the immune response. Investigate the relationship between the interleukin 6 (IL6) rs1800795 variant and IL6 level in Turkish patients with COVID-19 disease. Prospective cohort study. Tertiary care hospital. Real-time polymerase chain reaction (RT-PCR)-positive and/or chest computerized tomography (CT) scan-compatible COVID-19 patients were enrolled in the study. The clinical data and whole blood samples were collected from April 1, 2020, to August 1, 2020. IL6 rs1800795 genotyping was performed by the PCR-restriction fragment-length polymorphism (RFLP) method in 148 patients. Serum IL-6 concentrations were measured using the ELISA method in 89 patients. We evaluated the patients in three groups: asymptomatic, symptomatic, and intensive care unit patients. IL6 rs1800795 genotype frequencies and serum IL-6 levels in COVID-19 patients with different clinical presentations. 148 cases. IL6 rs1800795 GG genotype and G allele frequency increased in PCR positive patients compared to PCR-negative patients (p ˂ 0.000). IL6 rs1800795 GC genotype and C allele frequency were lower in PCR-positive patients than in PCR-negative patients. IL6 rs1800795 GG genotype and G allele frequency were higher in asymptomatic patients than in the symptomatic and intensive care unit groups. The IL6 rs1800795 C allele frequency was lower in asymptomatic patients than in the symptomatic and intensive care unit groups. IL6 rs1800795 GG genotype and G allele frequency were higher in CT negative patients than CT positive patients, while IL6 GC genotype and C allele frequency were higher in CT positive patients than negative patients. IL6 level elevation was seen in the asymptomatic patients compared to the symptomatic and intensive care unit groups. These findings suggest that IL6 rs1800795 may contribute to the susceptibility of COVID-19 in people to Turkish origin. Further large-scale studies in different genetic populations are needed as this is a single-center, prospective study. [ABSTRACT FROM AUTHOR]

Abstract Background Dysfunctional autophagy is implicated in Alzheimer’s Disease (AD) pathogenesis. The alterations in the expression of many autophagy related genes (ATGs) have been reported in AD brains; however, the disparity of the changes confounds the role of autophagy in AD. Methods To further understand the autophagy alteration in AD brains, we analyzed transcriptomic (RNAseq) datasets of several brain regions (BA10, BA22, BA36 and BA44 in 223 patients compared to 59 healthy controls) and measured the expression of 130 ATGs. We used autophagy-deficient mouse models to assess the impact of the identified ATGs depletion on memory, autophagic activity and amyloid-β (Aβ) production. Results We observed significant downregulation of multiple components of two autophagy kinase complexes BECN1-PIK3C3 and ULK1/2-FIP200 specifically in the parahippocampal gyrus (BA36). Most importantly, we demonstrated that deletion of NRBF2, a component of the BECN1-PIK3C3 complex, which also associates with ULK1/2-FIP200 complex, impairs memory in mice, alters long-term potentiation (LTP), reduces autophagy in mouse hippocampus, and promotes Aβ accumulation. Furthermore, AAV-mediated NRBF2 overexpression in the hippocampus not only rescues the impaired autophagy and memory deficits in NRBF2-depleted mice, but also reduces β-amyloid levels and improves memory in an AD mouse model. Conclusions Our data not only implicates NRBF2 deficiency as a risk factor for cognitive impairment associated with AD, but also support the idea of NRBF2 as a potential therapeutic target for AD.

Objective: The aim of this study was to determine the prevalence of predatory journals in Orthopedics and Traumatology and to investigate the relationship of these publications with the regulations of scientific fields made in recent years in Turkey. Methods: The journals and publishers between the years 2000–2018 were screened and websites visited one by one on the basis of the orthopedic journals and publishers list determined as predators or possible predators. Orthopedic publications originated from Turkey was detected in these predatory journals. Article admissions, article processing charges, editorial and referee average response times were reviewed from the websites of journals. In addition, the effect of changing associate professorship application requirements and academic incentive regulation on the preference of predatory journals was examined. Results: Between 2000 and 2018 years 1626 issues which can be reached in 282 journals were examined. 4795 articles were screened in 29 journals which have articles originated from Turkey. One hundred and six (2.21%) articles which originated from Turkey was reached in these publications. Average article processing charge was $865 ($ 0–1819). Fifty-nine of 106 (55%) articles originated from Turkey were found in only 4 journal. Journals which have articles originated from Turkey were not on the Web of Science list. The response time to the articles was between 2 and 6 weeks in these journals. After the change criteria in associate professorship in 2016, 3.32 fold increase in annual average number of publications originated from Turkey have been identified in predatory journals. After the change criteria in academic incentive regulation in 2015, 4.76 fold increase in annual average number of publications originated from Turkey have been identified in predatory journals. Conclusion: The number of articles in predatory journals is increasing all over the world. This situation also valid in the field of Orthopaedics and Traumatology in Turkey. Authors should pay attention regarding predatory journals not only article processing charges but also very short evaluation period. Keywords: Publishing, Predatory, Orthopedics, Traumatology, Journals

Heat transfer is one of the most fundamental engineering subjects and is found in every moment of life. Heat transfer problems, such as heating and cooling, where the transfer of heat between regions is calculated, are problems that can give exact solutions with parametric equations, many of which were obtained by solving differential equations in the past. Today, the fact that heat transfer problems have a more complex structure has led to the emergence of multivariate models, and problems that are very difficult to solve with differential equations have emerged. Optimization techniques, which are also the subject of computer science, are frequently used to solve complex problems. In this study, laminar thermal boundary layers in flow over a flat plate, a sub-problem of heat transfer, is solved with recent metaheuristic algorithms. Teaching learning-based optimization (TLBO), sine cosine optimization (SCO), gray wolf optimization (GWO), whale optimization (WO), salp swarm optimization (SSO), and Harris hawk optimization (HHO) algorithms are used in the study. In the optimization problem, the laminar boundary layer thickness, heat flow, and distance from the leading edge are determined. These three models’ minimum, maximum, and target values are found under the specified design variables and constraints. In the study, 540 optimization models are run, and it is seen that HHO is the most suitable optimization technique for heat transfer problems. Additionally, SSO and WO algorithms gave results close to HHO. Other algorithms also set model targets with an average of less than 0.07% and acceptable error rates. In addition, the average problem solution time of all optimization algorithms and all models was 0.9 s. To conclude, the recent metaheuristic algorithms are found to be powerful and fast in solving heat transfer problems.

Retrograde dyes are often used in basic research to investigate neuronal innervations of an organ. This article describes the experimental data on the application of retrograde dyes on the mouse heart in vivo and on the cardiac or neuronal cultures in vitro. By providing this information, cardiac or inneinnervations can be evaluated in vivo. Therefore, unknown cellular and molecular mechanisms and systemic interactions in the body can be investigated. In particular, we provided practical tips to lower mortality risks following the cardiac surgery and evaluated the staining capacity and fluorescent characteristics of the Di-8-ANEPPQ dye in the cardiac tissue and cell cultures. First, primary cultures of mouse nodose ganglia (NG) neurons and mouse neonatal cardiomyocytes were stained with Di-8-ANEPPQ. The Di-8-ANEPPQ signal from live cultures were visualized using spinning disk confocal microscopy to verify the lipophilic and fluorescent labeling capacity of Di-8-ANEPPQ. Next, the excitation and emission data of Di-8-ANEPPQ were collected between 415 nm and 690 nm using power spectrum module of confocal microscopy. This spectrum analysis could be useful for the researchers who plan to use Di-8-ANEPPQ in combination with other fluorescent dyes to eliminate any florescent overlap. In order to label the heart tissue with tracer dyes Di-8-ANEPPQ or DiI in vivo, the heart was exposed without damaging lungs or other tissues following anesthetization, then the retrograde dye was applied as a paste for DiI or injected to the apex of the heart for Di-8-ANEPPQ and the operation area was sutured. The surgical procedure required intubation to control the respiratory reflex without the need to perform a tracheotomy and yielded high viability. Following labeling the heart in vivo, the heart was dissected, and images of injection area were captured using confocal microscopy. All fluorescent images of Di-8-ANEPPQ labeled cells were analyzed by using the Fiji software. Overall, these data provide applicable data to other investigators to trace the sensory neurons innervating not only the heart but also other organs using Di-8-ANEPPQ. These data support the original research article titled “Evaluation of bilateral cardiac afferent distribution at the spinal and vagal ganglia by retrograde labeling” that was accepted for publication in Brain Research Journal [1].

In humans, copy number variations in CYFIP1 appear to have sweeping physiological and structural consequences in the brain, either producing or altering the severity of intellectual disability, autism, and schizophrenia. Independently, SynGAP1 haploinsufficiency produces intellectual disability and, frequently, autism. Cyfip1 inhibits protein translation and promotes actin polymerization, and SynGAP1 is a synaptically localized Ras/Rap GAP. While these proteins are clearly distinct, studies investigating their functions in mice have shown that each regulates the maturation of synapses in the hippocampus and haploinsufficiency for either produces an exaggerated form of mGluR-dependent long-term depression, suggesting that some signaling pathways converge. In this study, we examined how Cyfip1 haploinsufficiency impacts SynGAP1 levels and localization, as well as potential sites for mechanistic interaction in mouse hippocampus. The data show that synaptic, but not total, levels of SynGAP1 in Cyfip1+/– mice were abnormally low during early postnatal development and in adults. This may be in response to a shift in the balance of kinases that activate SynGAP1 as levels of Cdk5 were reduced and those of activated CaMKII were maintained in Cyfip1+/– mice compared to wild-type mice. Alternatively, this could reflect altered actin dynamics as Rac1 activity in Cyfip1+/– hippocampus was boosted significantly compared to wild-type mice, and levels of synaptic F-actin were generally enhanced due in part to an increase in the activity of the WAVE regulatory complex. Decreased synaptic SynGAP1 coupled with a CaMKII-mediated bias toward Rap1 inactivation at synapses is also consistent with increased levels of synaptic GluA2, increased AMPA receptor-mediated responses to stimulation, and increased levels of synaptic mGluR1/5 compared to wild-type mice. Collectively, our data suggest that Cyfip1 regulates SynGAP1 and the two proteins work coordinately at synapses to appropriately direct actin polymerization and GAP activity.

Objective: The aim of this study was to report our results of lunate excision combined with capitohamate fusion in the treatment of Kienböck's stage IIIB/IIIC disease. Methods: A total of 7 patients with a mean age 35.2 (SD 11.5) years were enrolled in the study. Pain was the principal reason for surgery. All operations were carried out by the same senior surgeon. Patients were evaluated in terms of range of motion, DASH and VAS scores, satisfaction, and grip/tip/palmar/key pinch strength compared with contralateral sides. Preoperative carpal height indexes and findings of osteoarthritis were determined radiographically and compared with postoperative evaluations. Results: Mean duration of follow up was 15.2 months. Mean DASH and VAS scores were 13.8 2.7 and 2 1.1 respectively. The mean patient satisfaction score was 3.2 0.4 over 4 points. The mean grip strength in the operated hands was 66.4%, palmar pinch was 75.1%, tip pinch was 71.8% and key pinch was 70.4% when compared to the contralateral unaffected sides. The mean flexion range in the operated hands was 58.8%, extension range was 60.3%, radial deviation range was 65.2% and ulnar deviation range was 65.7% when compared to the contralateral sides. There was no significant difference between preoperative and postoperative carpal height ratios (p = 0.086). Conclusions: Our early term results indicate that lunate excision combined with capitohamate fusion may be an alternative treatment option in patients with stage IIIB and IIIC Kienböck's disease. Level of Evidence: Level IV, Therapeutic study. Keywords: Capitate bone, Excision, Fusion, Hamate, Kienböck's diseasse, Lunate bone

Abstract Background Congenital sphingosine-1-phosphate (S1P) lyase deficiency due to biallelic mutations in SGPL1 gene has recently been described in association with primary adrenal insufficiency and steroid-resistant nephrotic syndrome. S1P lyase, on the other hand, is therapeutically inhibited by fingolimod which is an oral drug for relapsing multiple sclerosis (MS). Effects of this treatment on adrenal function has not yet been evaluated. We aimed to test adrenal function of MS patients receiving long-term fingolimod treatment. Methods Nineteen patients (14 women) with MS receiving oral fingolimod (Gilenya®, Novartis) therapy were included. Median age was 34.2 years (range; 21.3–44.6 years). Median duration of fingolimod treatment was 32 months (range; 6–52 months) at a dose of 0.5 mg/day. Basal and ACTH-stimulated adrenal steroid measurements were evaluated simultaneously employing LC-MS/MS based steroid panel. Basal steroid concentrations were also compared to that of sex- and age-matched healthy subjects. Cortisol and 11-deoxycortisol, 11-deoxycorticosterone and dehydroepiandrosterone were used to assess glucocorticoid, mineralocorticoid and sex steroid producing pathways, respectively. Results Basal ACTH concentrations of the patients were 20.8 pg/mL (6.8–37.8 pg/mL) (normal range; 5–65 pg/mL). There was no significant difference in the basal concentrations of cortisol, 11-deoxycortisol, 11-deoxycorticosterone and dehydroepiandrosterone between patients and controls (p = 0.11, 0.058, 0.74, 0.15; respectively). All patients showed adequate cortisol response to 250 mcg IV ACTH stimulation (243 ng/mL, range; 197–362 ng/mL). There was no significant correlation between duration of fingolimod treatment and basal or ACTH-stimulated cortisol or change in cortisol concentrations during ACTH stimulation test (p = 0.57, 0.66 and 0.21, respectively). Conclusion Modification and inhibition of S1P lyase activity by the long-term therapeutic use of fingolimod is not associated with adrenal insufficiency in adult patients with MS. This suggests that S1P lyase has potentially a critical role on adrenal development rather than the function of a fully mature adrenal gland.

Diatoms are a type of algae with many species. Accurate and quick classification of diatom species is important in many fields, such as water quality analysis and weather change forecasting. Traditional methods for diatom classification, specifically morphological taxonomy and molecular detection, are time-consuming and may not provide satisfactory performance. However, in recent years, deep learning has demonstrated impressive performance in this task, just like other image classification problems. On the other hand, networks with more layers do not guarantee increased accuracy. While increasing depth can be useful in capturing complex features and patterns, it also introduces challenges such as vanishing gradients, overfitting, and optimization challenges. Therefore, in our work, we propose DiatomNet, a lightweight convolutional neural network (CNN) model that can classify diatom species accurately while requiring low computing resources. A recently introduced dataset consisting of 3027 diatom images and 68 diatom species is used to train and evaluate the model. The model is compared with well-known and successful CNN models (i.e., AlexNet, GoogleNet, Inceptionv3, ResNet18, VGG16, and Xception) and their customized versions obtained with transfer learning. The comparison is based on several success metrics: accuracy, precision, recall, F-measure, number of learnable parameters, training, and prediction time. Eventually, the experimental results reveal that DiatomNet outperforms the other models regarding all metrics with just a few exceptions. Therefore, it is a lightweight but strong candidate for diatom classification tasks. [ABSTRACT FROM AUTHOR]