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Öğe Beneficial Effects of Montelukast against Cisplatin-Induced Acute Renal Damage in Rats(Taylor & Francis Ltd, 2012) Beytur, Ali; Kose, Evren; Sarihan, Mehmet Ediz; Sapmaz, Hilal Irmak; Dogan, Zumrut; Cetin, Asli; Vardi, NigarObjective: In this study, the therapeutic and protective effects of montelukast against cisplatin (CP)-induced acute renal damage were investigated. Materials and Methods: Thirty-five female rats were divided into five groups as follows: (1) control, (2) montelukast (10 mg/kg daily for 10 days per-oral (p.o.), (3) CP (single dose 7 mg/kg intraperitoneally (i.p.)), (4) CP + montelukast (10 mg/kg daily for 10 days p.o., after 3 days of the injection of CP), (5) montelukast (10 mg/kg daily for 10 days p.o.) + CP (single dose 7 mg/kg i.p., after the last dose of montelukast). At the end of the experiment, malondialdehyde (MDA), a lipid peroxidation product, myeloperoxidase (MPO), and reduced glutathione (GSH) levels were determined in the renal tissue. Also, blood urea nitrogen (BUN) and creatinine (Cr) levels were assayed from the trunk blood samples. Results: CP treatment caused a significant elevation of MDA, MPO, BUN, and Cr levels when compared with the control group. Also, GSH levels were found to be reduced due to the CP treatment. Montelukast administration after CP injection ameliorated all of these parameters. Our histopathological findings (marked swelling of epithelial cells, tubular dilatation, tubular desquamation, and loss of brush border in the kidney) were consistent with the biochemical results. Conclusion: Montelukast treatment after CP injection exerted therapeutic effects against CP-induced acute kidney damage.Öğe Different medical data mining approaches based prediction of ischemic stroke(Elsevier Ireland Ltd, 2016) Arslan, Ahmet Kadir; Colak, Cemil; Sarihan, Mehmet EdizAim: Medical data mining (also called knowledge discovery process in medicine) processes for extracting patterns from large datasets. In the current study, we intend to assess different medical data mining approaches to predict ischemic stroke. Materials and methods: The collected dataset from Turgut Ozal Medical Centre, Inonu University, Malatya, Turkey, comprised the medical records of 80 patients and 112 healthy individuals with 17 predictors and a target variable. As data mining approaches, support vector machine (SVM), stochastic gradient boosting (SGB) and penalized logistic regression (PLR) were employed. 10-fold cross validation resampling method was utilized, and model performance evaluation metrics were accuracy, area under ROC curve (AUC), sensitivity, specificity, positive predictive value and negative predictive value. The grid search method was used for optimizing tuning parameters of the models. Results: The accuracy values with 95% CI were 0.9789 (0.9470-0.9942) for SVM, 0.9737 (0.9397-0.9914) for SGB and 0.8947 (0.8421-0.9345) for PLR. The AUC values with 95% CI were 0.9783 (0.9569-0.9997) for SVM, 0.9757 (0.9543-0.9970) for SGB and 0.8953 (0.8510-0.9396) for PLR. Conclusions: The results of the current study demonstrated that the SVM produced the best predictive performance compared to the other models according to the majority of evaluation metrics. SVM and SGB models explained in the current study could yield remarkable predictive performance in the classification of ischemic stroke. (C) 2016 Elsevier Ireland Ltd. All rights reserved.Öğe Falls from height: a retrospective analysis(Zhejıang unıv sch medıcıne, second affılıated hospıtal, 88 jıefang rd, hangzhou, 310009, peoples r chına, 2018) Turgut, Kasim; Sarihan, Mehmet Ediz; Colak, Cemil; Guven, T; Gur, A; Gurbuz, SBACKGROUND: Emergency services manage trauma patients frequently and falls from height comprise the main cause of emergency service admissions. In this study, we aimed to analyse the demographic characteristics of falls from height and their relationship to the mortality. METHODS: A total of 460 patients, who admitted to the Emergency Department of Inonu University between November 2011 and November 2014 with a history of fall from height, were examined retrospectively. Demographic parameters, fall characteristics and their effect to mortality were evaluated statistically. RESULTS: The study comprised of 292 (63.5%) men and 168 (36.5%) women patients. The mean age of all patients was 27 +/- 24.99 years. Twenty-six (5.6%) patients died and the majority of them were in >= 62 years old group. The highest percentage of falls was at 0-5 years age group (28.3%). People fell mainly from 1.1-4 metres(m) level (46.1%). The causes of falls were ordered as unintentional (92.2%), workplace (8.1%) and suicidal (1.7%). Skin and soft tissue injuries (37.4%) were the main traumatic lesions. CONCLUSION: Age, fall height, fall place, lineer skull fracture, subarachnoidal hemorrhage, cervical fracture, thoracic vertebra fracture and trauma scores had statistically significant effect on mortality. The casualties died because of subarachnoid hemorrhage mostly.Öğe Falls from height: A retrospective analysis(Zhejiang Univ Sch Medicine, 2018) Turgut, Kasim; Sarihan, Mehmet Ediz; Colak, Cemil; Guven, Taner; Gur, Ali; Gurbuz, SukruBACKGROUND: Emergency services manage trauma patients frequently and falls from height comprise the main cause of emergency service admissions. In this study, we aimed to analyse the demographic characteristics of falls from height and their relationship to the mortality. METHODS: A total of 460 patients, who admitted to the Emergency Department of Inonu University between November 2011 and November 2014 with a history of fall from height, were examined retrospectively. Demographic parameters, fall characteristics and their effect to mortality were evaluated statistically. RESULTS: The study comprised of 292 (63.5%) men and 168 (36.5%) women patients. The mean age of all patients was 27 +/- 24.99 years. Twenty-six (5.6%) patients died and the majority of them were in >= 62 years old group. The highest percentage of falls was at 0-5 years age group (28.3%). People fell mainly from 1.1-4 metres(m) level (46.1%). The causes of falls were ordered as unintentional (92.2%), workplace (8.1%) and suicidal (1.7%). Skin and soft tissue injuries (37.4%) were the main traumatic lesions. CONCLUSION: Age, fall height, fall place, lineer skull fracture, subarachnoidal hemorrhage, cervical fracture, thoracic vertebra fracture and trauma scores had statistically significant effect on mortality. The casualties died because of subarachnoid hemorrhage mostly.Öğe Left bundle branch block secondary to subarachnoid hemorrhage(Aves, buyukdere cad 105-9, mecıdıyekoy, sıslı, ıstanbul 34394, turkey, 2018) Turtay, Muhammet Gokhan; Yigit, Eren; Gurbuz, Sukru; Sarihan, Mehmet Ediz; Oguzturk, Hakan; Turkmen, NurMany electrocardiogram changes associated with subarachnoid hemorrhage have been described. A 55-year-old female patient was admitted to the emergency service due to complaints of dizziness and fainting after headache persisting for several days. Left bundle branch block was detected on electrocardiogram, and a subarachnoid hemorrhage was detected on brain tomography. Our case illustrates that left bundle branch block may occur in patients with subarachnoid hemorrhage, having no symptoms of a heart problem, previously.Öğe Machine Learning Model-based Detection of Potential Genetic Markers Associated with the Diagnosis of Small-cell Lung Cancer(Zamensalamati Publ Co, 2023) Sarihan, Mehmet Ediz; Kucukakcali, Zeynep; Tekedereli, IbrahimBackground: Small-cell lung cancer (SCLC), which is in the category of intractable cancers, has a low survival rate. It is essential to understand the pathophysiological pathways underlying its development to create powerful treatment alternatives for the disease. Objectives: This study aimed to classify gene expression data from SCLC and normal lung tissue and identify the key genes responsible for SCLC. Methods: This study used microarray expression data obtained from SCLC tissue and normal lung tissue (adjacent tissue) from 18 patients. An Extreme Gradient Boosting (XGBoost) model was established for the classification by five-fold cross-validation. Accuracy (AC), balanced accuracy (BAC), sensitivity (Sens), specificity (Spec), positive predictive value (PPV), negative predictive value (NPV), and F1 scores were utilized for performance assessment. Results: AC, BAC, Sens, Spec, PPV, NPV, and F1 scores from the XGBoost model were 90%, 90%, 80%, 100%, 100%, 83.3%, and 88.9%, respectively. Based on variable importance values from the XGBoost, the HIST1H1E, C12orf56, DSTNP2, ADAMDEC1, and HMGB2 genes can be considered potential biomarkers for SCLC. Conclusion: A machine learning-based prediction method discovered genes that potentially serve as biomarkers for SCLC. After clinical confirmation of the acquired genes in the following medical study, their therapeutic use can be established in clinical practice.Öğe Molsidomine Prevents Cisplatin-induced Hepatotoxicity(Elsevier Science Inc, 2013) Bentli, Recep; Parlakpinar, Hakan; Polat, Alaadin; Samdanci, Emine; Sarihan, Mehmet Ediz; Sagir, MustafaBackground and Aims. Despite its beneficial effects, cisplatin has considerable nephrotoxic, ototoxic, neurotoxic and hepatotoxic side effects. It has been documented that reactive oxygen radical species are involved with the pathophysiology of cisplatin-induced hepatotoxicity. Molsidomine (MOL) can exert antioxidant and anti-inflammatory effects. Therefore, the current study was planned to determine the effects of cisplatin on the liver oxidant/antioxidant system and the possible protective effects of (MOL) on liver toxicity. Methods. Animals were divided into four groups as follows: (1) control; (2) MOL; (3) cisplatin and (4) MOL plus cisplatin group. Biochemical and histopathological evaluations were performed on the extracted liver tissue. Also, serum levels of serum aspartate transaminase (AST) and serum alanine transaminase (ALT) were determined. Results. Our results clearly indicated that liver antioxidant enzyme activities and ALT levels were significantly decreased, whereas lipid peroxidation and neutrophil accumulation were increased in the cisplatin-treated animals (5 mg/kg single dose, i.p.) compared to the control rats. MOL treatment (4 mg/kg/day, i.p.) for 3 consecutive days provided a significant protection against cisplatin-induced hazardous changes in the liver tissue. Our histopathological findings including caspase-3 activity were also in accordance with the biochemical results. Conclusions. We propose that MOL acts in the liver as a potent scavenger of free radicals, anti-inflammatory and anti-apoptotic effects to prevent the toxic effects of cisplatin, both at the biochemical and histopathological levels. (C) 2013 IMSS. Published by Elsevier Inc.Öğe Therapeutic and protective effects of montelukast against doxorubicin-induced acute kidney damage in rats(Mashhad Univ Med Sciences, 2019) Kose, Evren; Oguz, Fatih; Vardi, Nigar; Sarihan, Mehmet Ediz; Beytur, Ali; Yucel, Aytac; Polat, AlaadinObjective(s): The current study was designed to investigate the therapeutic and protective effects of montelukast (ML) against doxorubicin (DOX)-induced acute kidney damage in rats. Materials and Methods: Thirty-five Wistar albino female rats were randomly divided into 5 groups as follows: Group I: Control; Group II: Control+ML; Group III: DOX; Group IV: DOX+ML; Group V: ML+DOX. At the end of the experiment, the kidney tissues of rats were collected. Thiobarbituric acid reactive substance (TBARS), reduced glutathione, superoxide dismutase (SOD), and catalase levels were determined from the kidney tissues. In addition, the kidney tissues were examined histologically. Results: DOX induced a significant increase in the kidney TBARS levels, whereas SOD contents significantly decreased when compared with the control group. On the other hand, ML administration before and after DOX injection caused significant decreases in TBARS production and also increases in SOD levels. Histologically, the most remarkable damage was glomerulosclerosis and tubular changes in the DOX group. Moreover, marked tubular necrosis and swelling in tubular epithelial cells were observed in this group. Contrarily, although glomerulosclerosis was recognized as alleviated also in both DOX+ML and ML+DOX groups, the lesions did not completely ameliorate. However, treatment with ML after DOX injection was more effective than treatment with ML before DOX injection with respect to the protection of tubular structures. Conclusion: It was determined that ML treatment after DOX injection caused therapeutic effects against DOX-induced kidney damage. Thence, ML treatment is of some clinical properties for oxidative stress damage in kidney tissues.
