The aim of the present study was to investigate the therapeutic and protective effects of linalool against doxorubicin (DOX)-induced kidney injury. Forty-eight Wistar rats were divided into 8 groups as follows; Control, DOX [20 mg/kg, intraperitoneal (ip) single dose DOX], linalool (LIN50 and LIN100; 50 mg/kg and 100 mg/kg linalool via ip for 5 days, respectively), DOX + LIN50 and DOX + LIN100 (20 mg/kg single dose of DOX via ip on first day and 50 mg/kg and 100 mg/kg linalool via ip, respectively), LIN50 + DOX and LIN100 + DOX (50 mg/kg and 100 mg/kg linalool via ip for 5 days, respectively and 20 mg/kg single dose of DOX via ip on fifth day). Doxorubicin led to a significant increase in the level of malondialdehyde (MDA) in the kidney, whereas superoxide dismutase (SOD), catalase (CAT) and reduced glutathione (GSH) levels decreased remarkably when compared with control. On the other hand, LIN supplementation before and after DOX treatment led to a significant decrease in MDA and also increases in SOD, CAT and GSH levels. DOX caused significant increases in the levels of blood urea nitrogen (BUN) and creatinine (Cr) levels in the plasma, while LIN supplementation as a therapeutic and preventive agent led to significant decreases in BUN and Cr levels. The current study demonstrated that LIN supplementation after or before DOX treatment can led to therapeutic and preventive effects against DOX-induced renal damage.

The aim of the present study was to determine the protective and therapeutic effects of linalool (LIN) against doxorubicin (DOX)-induced cardiotoxicity in rats histologically and biochemically. In experiments, 64 male Wistar albino rats were randomly divided into eight groups (n = 8). These groups were control (C) (0.9% saline solution), DOX (20 mg/kg DOX), LIN50 (50 mg/kg LIN), LIN100 (100 mg/kg LIN), DOX + LIN50 (20 mg/kg DOX and 50 mg/kg LIN), DOX + LIN100 (20 mg/kg DOX and 100 mg/kg LIN), LIN50 + DOX (50 mg/kg LIN and 20 mg/kg DOX), and LIN100 + DOX (100 mg/kg LIN and 20 mg/kg DOX). It was determined that necrosis and extensive inflammatory cell infiltration were observed in the DOX group. It was determined that histopathological changes significantly decreased in groups treated with LIN after DOX administration. While the caspase-3 immunostaining was highly evident in DOX group apoptotic cells (p < 0.001, for all), the intensity of caspase-3 immunostaining in the treatment groups decreased (p < 0.05). While DOX administration resulted in a significant increase in malondialdehyde (MDA) levels and plasma Creatine kinase (CK) and lactate dehydrogenase (LDH) levels in cardiac tissue when compared to the C groups, it was observed that DOX + LIN administration led to a significant decrease in MDA, plasma CK and LDH levels and a significant increase in glutathione (GSH), superoxide dismutase, and catalase enzyme levels. Finally, it was concluded that DOX led to heavy cardiotoxicity and DOX + LIN administration could remove cardiomyopathy symptoms.

Determining the branching pattern of the popliteal artery (PA) is an important step in planning some radiological and surgical procedures. The aim of this study was to investigate the course and morphology of the terminal branches of the popliteal artery using multidetector computed tomography (MDCT) angiography, and also to determine possible role gender in branching pattern. Three-hundred forty lower extremity MDCT angiography images for 170 patients (118 M, 52 F), who were between 20–80 years old, were examined. Popliteal artery branching types were grouped as percentage incidences. TPT diameters and lengths in Type IA extremities were compared based on gender and right or left side. Anterior tibial artery (ATA), posterior tibial artery (PTA) and peroneal artery dominance rates were calculated. 5000 times measurement data was mixed so that the cascade mean filter values were calculated for the right and left TPT length each time. It was observed that Type IA was the most common branching pattern (89.4%). The variational pattern incidence was 10.6% and the most common category was Type III (4.1%). The most common pattern was Type IB (3.2%). Variational pattern was 2 times more prevalent in females when compared to the males. The mean TPT diameter was 4.5 mm (2.7–7.3 mm) and there was no difference based on gender and the right-left side. The most common dominant artery for the right and left legs was PTA in both genders. The cut-off values calculated for the right and left TPT independent of gender were 31.30 ± 2.40 and 28.36 ± 2.58, respectively. Three new subtypes were identified as short (S ≤ 2 cm), standard (N = 2–4 cm) and long (L ≥ 4 cm) in Type IA, since it is in a wide variational range although it is a typical PA branching pattern.

Aim: The present study aimed to analyze whether gender could be determined with the decision tree (DT) method, a machine learning algorithm, based on patellar multidetector computed tomography (MDCT) image measurements. Material and Methods: The study was conducted on 219 male and 131 female MDCT images. The patellar anteroposterior (Ap), craniocaudal (Cc), transverse (Trv) length and volume (Vol), adjusted on the orthogonal plane by the radiologist, were calculated. In patellar length measurements, initially linear discriminant outliers were detected to clear the data for gender prediction. Accuracy (Acc), Sensitivity (Sen), Specificity (Spe), F1-Score (F1) and Matthew’s Correlation Coefficient (Mcc) criteria were taken as the performance criteria for DT. Results: It was determined that male Ap, Trv, Cc, and Vol values were higher when compared to the female values and there was a significant difference between these values based on gender (pAp, Trv, Cc, Vol = 0.000). Using the above-mentioned measurements, it was calculated that the prediction rate for male individuals was 98.2% and for female individuals, it was 98.4%. Conclusion: DT analysis based on patella morphometry provided a simple, adequate and highly accurate approach for gender estimation. Furthermore, it was determined that it would provide an advantage for researchers in gender prediction using only branching and cut-off values on the tree structure without the need to use a computer.

Necati Emre Sahin, Zulal Oner, Serkan Oner, Muhammed Kamil Turan. Anat Cell Biol 2022;55:40-7. https://doi.org/10.5115/acb.21.177