PROSPECTIVE EFFECT OF RED ALGAE, ACTINOTRICHIA FRAGILIS, AGAINST SOME OSTEOARTHRITIS AETIOLOGY

Background: Osteoarthritis (OA) is a progressive disease characterized by joints pain and articular cartilage destruction. Most of the current treatment strategies for OA are effective for symptoms relief but are accompanied with adverse side effect. Thus, the present investigation aims to evaluate the potential influence of red algae, Actinotrichia fragilis, in the dry powder form (AFP) or gel form (AFG) on some relevant factors of OA progression as well as assess its safety through in vitro and in vivo experiments. Materials and Methods: In vitro, AFP was analyzed for its chemical constituents screening, amino acid, proteinase inhibitory activity, HRBC membrane stabilization activity, free radical scavenging activity, total antioxidant potency, nitric oxide radical scavenging power. In vivo, Organization for Economic Co-operation and Development (OECD) toxicity test was performed to test the safety of AFP on rats. Results: The present findings revealed that AFP and AFG can be considered as inflammatory-proteinase-oxidant inhibitor and considered to be safe according to the OECD guideline. Conclusion: AFP and AFG may have the potency to become the therapeutic candidate for OA disease as it prevents the key causes of OA initiation

Comparison between the Accuracy of Endoanal Ultrasonography and Body Coil MRI in Preoperative Assessment of Internal Opening of Perianal Fistula Complex

Abstract Background and Aim: Surgery for anal fistula is a commonly performed practice. Integral part of fistula surgery is identification of the internal opening if high recurrence rate is to be diminished. In this study, accuracy of endoanal ultrasound versus body coil M.R.I in detection of the internal fistula opening was evaluated by comparing both modalities with the intra operative findings as a standard reference

Burnout among surgeons before and during the SARS-CoV-2 pandemic: an international survey

Background: SARS-CoV-2 pandemic has had many significant impacts within the surgical realm, and surgeons have been obligated to reconsider almost every aspect of daily clinical practice. Methods: This is a cross-sectional study reported in compliance with the CHERRIES guidelines and conducted through an online platform from June 14th to July 15th, 2020. The primary outcome was the burden of burnout during the pandemic indicated by the validated Shirom-Melamed Burnout Measure. Results: Nine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout. There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits, and research work, so, 48.2% of respondents felt that the training resources were insufficient. The majority (81.3%) of respondents reported that their hospitals were included in the management of COVID-19, 66.5% felt their roles had been minimized; 41% were asked to assist in non-surgical medical practices, and 37.6% of respondents were included in COVID-19 management. Conclusions: There was a significant burnout among trainees. Almost all aspects of clinical and research activities were affected with a significant reduction in the volume of research, outpatient clinic visits, surgical procedures, on-call hours, and emergency cases hindering the training. Trial registration: The study was registered on clicaltrials.gov "NCT04433286" on 16/06/2020

Modulatory effect of Origanum majorana extract against cisplatin-induced dyslipidemia in rats

ABSTRACT Cisplatin (CDDP) drug is one of the platinum compounds that used for the treatment of a variety of human neoplasms. However, its high doses produce undesirable toxic side effects. Origanum majorana is a natural herbal product used in the management of many diseases. Therefore, the present study investigated the curative effect of Origanum majorana ethanolic extract (OMEE) on the lipid profile abnormalities induced by cisplatin. Male Wistar rats were randomly separated into four groups (n=6). Rats in group 1 act as controls and received distilled water orally for 14 days. Rats of groups 2, 3 and 4 injected a single dose of CDDP (3 mg/kg body weight, i.p); then after 3 days of CDDP injection, rats were challenged with distilled water, OMEE (500 mg/kg body weight), and silymarin (150 mg/kg/ body weight); respectively orally for 14 consecutive days. The present study revealed that CDDP caused body, liver and kidney weights loss within the experimental period. Moreover, CDDP increase the serum total lipid, triglycerides and LDL-cholesterol levels significantly. Conversely, it causes a significant decrease in the serum HDL-cholesterol level. OMEE treatment elevates the body, liver and kidney weights significantly. Additionally, it declines the levels of total lipid, triglycerides, and LDL-cholesterol and increase the HDL-cholesterol level significantly. In conclusion, these findings may exhibit a positive hypolipidemic potential of OMEE against dyslipidemia induced by CDDP and suggest that OMEE might serve as novel adjuvant therapy that can be used with CDDP

Enhanced Pelican Optimization Algorithm with Deep Learning-Driven Mitotic Nuclei Classification on Breast Histopathology Images

Breast cancer (BC) is a prevalent disease worldwide, and accurate diagnoses are vital for successful treatment. Histopathological (HI) inspection, particularly the detection of mitotic nuclei, has played a pivotal function in the prognosis and diagnosis of BC. It includes the detection and classification of mitotic nuclei within breast tissue samples. Conventionally, the detection of mitotic nuclei has been a subjective task and is time-consuming for pathologists to perform manually. Automatic classification using computer algorithms, especially deep learning (DL) algorithms, has been developed as a beneficial alternative. DL and CNNs particularly have shown outstanding performance in different image classification tasks, including mitotic nuclei classification. CNNs can learn intricate hierarchical features from HI images, making them suitable for detecting subtle patterns related to the mitotic nuclei. In this article, we present an Enhanced Pelican Optimization Algorithm with a Deep Learning-Driven Mitotic Nuclei Classification (EPOADL-MNC) technique on Breast HI. This developed EPOADL-MNC system examines the histopathology images for the classification of mitotic and non-mitotic cells. In this presented EPOADL-MNC technique, the ShuffleNet model can be employed for the feature extraction method. In the hyperparameter tuning procedure, the EPOADL-MNC algorithm makes use of the EPOA system to alter the hyperparameters of the ShuffleNet model. Finally, we used an adaptive neuro-fuzzy inference system (ANFIS) for the classification and detection of mitotic cell nuclei on histopathology images. A series of simulations took place to validate the improved detection performance of the EPOADL-MNC technique. The comprehensive outcomes highlighted the better outcomes of the EPOADL-MNC algorithm compared to existing DL techniques with a maximum accuracy of 97.83%