Ameliorative potential of eriocitrin against cadmium instigated hepatotoxicity in rats via regulating Nrf2/keap1 pathway.

BACKGROUND: Cadmium (Cd) is a hazardous heavy metal that adversely affects the vital body organs particularly liver. Eriocitrin (ERCN) is a plant-based flavonoid that is well-known for its wide range of pharmacological potential. This research trial was aimed to determine the ameliorative potential of ERCN against Cd provoked hepatotoxicity in rats. METHODOLOGY: Twenty-four rats (Rattus norvegicus) were apportioned into control, Cd treated (5 mg/kg), Cd (5 mg/kg) + ERCN (25 mg/kg) and only ERCN (25 mg/kg) administrated group. Expressions of Nrf2/Keap1 pathway and apoptotic markers were assessed through qRT-PCR. The levels of inflammatory and liver function markers were evaluated by using standard ELISA kits. KEY FINDINGS: Cd exposure reduced the expression of Nrf2 and anti-oxidant genes as well as the activity of catalase (CAT), glutathione reductase (GSR), superoxide dismutase (SOD), glutathione peroxidase (GPx), glutathione S-transferase (GST) and glutathione (GSH) contents while escalating the expression of Keap1. Furthermore, Cd intoxication augmented malondialdehyde (MDA) and reactive oxygen species (ROS) levels in hepatic tissues. Exposure to Cd resulted in a notable elevation in the levels of alanine transaminase (ALT), alkaline phosphatase (ALP) and aspartate aminotransferase (AST). Cd administration upregulated nuclear factor-kappa B (NF-κB), interleukin-1 beta (IL-1ß), tumor necrosis factor-alpha (TNF-α), and interleukin-6 (IL-6) levels as well as cyclooxygenase-2 (COX-2) activity. Furthermore, Cd administration upsurged Bax and Caspase-3 expression while reducing the expression of Bcl-2. Moreover, Cd intoxication disrupted the normal architecture of hepatic tissues. However, supplementation of ERCN significantly (p < 0.05) ameliorated the aforementioned disruptions induced by Cd intoxication. CONCLUSION: ERCN treatment remarkably ameliorated the hepatic tissues owing to its antioxidant, anti-inflammatory, and anti-apoptotic potentials. These findings underscore the therapeutic potential of ERCN to counteract the adverse effects of environmental pollutants on hepatic tissues.

Amentoflavone mediated hepatoprotection to counteract paraquat instigated hepatotoxicity via modulating Nrf2/keap1 pathway: A biochemical, inflammatory, apoptotic and histopathological study.

Paraquat (PQ) is a ubiquitous and water-soluble herbicide which has potential to cause systematic poisoning. PQ intoxication is known to be associated with various clinical complications including hepatotoxicity. Amentoflavone (AMF) is an active phenolic compound that exhibits a broad range of biological as well as pharmacological activities. This study was designed to determine the hepato-protective potential of AMF against PQ instigated hepatotoxicity in rats. Forty-eight rats were distributed into four groups such as control group, PQ-treated group (5 mg/kg), PQ (5 mg/kg) + AMF (40 mg/kg) exposed group and AMF (40 mg/kg) only supplemented group. It was revealed that PQ exposure reduced nuclear factor erythroid 2-related factor 2 (Nrf2) and antioxidative genes expression whereas increase the expression of Kelch-like ECH-associated protein 1(Keap1). Besides, PQ intoxication reduced the activities of superoxide dismutase (SOD), catalase (CAT), glutathione reductase (GSR), glutathione peroxidase (GPx), Heme- oxygenase-1 (HO-1) & glutathione (GSH) content. Furthermore, the levels of reactive oxygen species (ROS) & malondialdehyde (MDA) were increased. In addition, PQ significantly increased the hepatic serum enzymes including alkaline phosphatase (ALP), aspartate transaminase (AST), & alanine transaminase (ALT) along with inflammatory biomarkers levels such as tumor necrosis- α (TNF- α), nuclear factor- κB (NF-κB), interleukin-6 (IL-6), interleukin 1beta (IL-1ß), & cyclo­oxygenase-2 (COX-2) activity. PQ intoxication increased the expressions of pro-apoptotic markers i.e., Bcl-2-associated X protein (Bax) & Cysteine-aspartic protease-3 (Caspase-3) while reducing the expression of anti-apoptotic protein B-cell lymphoma 2 (Bcl-2). Furthermore, PQ intoxication prompted various histopathological impairments. However, the co-administration of AMF significantly improved the abovementioned hepatic damages induced by PQ. The present study indicated that AMF may be an effective therapeutic candidate to mitigate PQ provoked hepatic impairments due to its anti-apoptotic, antioxidant & anti-inflammatory properties.

Mitigative potential of rhoifolin against cisplatin prompted testicular toxicity: biochemical, spermatogenic and histological based analysis.

Rhoifolin (ROF) is a naturally occurring flavonoid compound with diverse pharmacological and therapeutic benefits. The current investigation was designed to evaluate the curative potential of Rhoifolin (ROF) against Cisplatin (CP) induced testicular damage. Mature male albino rats (n = 48) were randomly distributed into 4 equal groups: control, CP (10 mg/kg), CP + ROF (10 mg/kg + 20 mg/kg) and ROF (20 mg/kg) supplemented group. Following 56 days of the trial, biochemical, inflammatory markers, spermatogenic, steroidogenic, hormonal, apoptotic, anti-apoptotic, and histopathological parameters were evaluated. The exposure to CP markedly (p < 0.05) lowered the activities of anti-oxidant enzymes, glutathione reductase (GSR), catalase (CAT), and glutathione peroxidase (GPx) as well as superoxide dismutase (SOD) in testicular tissues of male albino rats. Besides the levels of reactive oxygen species (ROS) and thiobarbituric acid reactive substances (TBARS) were considerably augmented in CP exposed rats. The administration of CP also increased the level of inflammatory cytokines i.e. IL-6, TNF-α, 1L-1ß and NF-κß as well as COX-2 activity. Additionally, a notable (p < 0.05) upsurge was observed in dead sperms count, abnormality in the tail, midpiece as well as head of sperms along with a notable decline in sperm motility in CP treated rats. Moreover, the expressions of steroidogenic enzymes were also lowered in CP administered group. The levels of follicle stimulating hormone (FSH) and plasma testosterone as well as luteinizing hormone (LH) were decreased in CP treated group. Moreover, the expression of Bax as well as Caspase-3 (apoptotic markers) were increased. On the other hand, Bcl-2 expression (anti-apoptotic marker) was reduced. Furthermore, the histopathological analysis showed that CP considerably (p < 0.05) damaged the testicular tissues. However, the administration of ROF significantly reduced the damaging effects of CP in testicular tissues. The results of our study suggested that ROF can potentially alleviate CP-induced testicular damages due to its androgenic, anti-oxidant and anti-inflammatory as well as anti-apoptotic nature.

Antidepressant Activities of Synthesized Benzodiazepine Analogues in Mice.

Depression is a serious psychological disorder which negatively affects human feelings and actions. The use of antidepressants is the therapy of choice while treating depression. However, such drugs are associated with severe side effects. There is a need for efficient and harmless drugs. In this connection, the present study was designed to synthesize several substituted benzodiazepine derivatives and explore their antidepressant potentials in an animal model. The chalcone backbone was initially synthesized, which was then converted into several substituted benzodiazepine derivatives designated as 1-6. The synthesized compounds were identified using spectroscopic techniques. The experimental animals (mice) after acclimatation were subjected to forced swim test (FST) and tail suspension test (TST) after oral administration of the synthesized compounds to evaluate their antidepressant potentials. At the completion of the mentioned test, the animals were sacrificed to determine GABA level in their brain hippocampus. The chloro-substituent compound (2) significantly reduced the immobility time (80.81 ± 1.14 s; p < 0.001 at 1.25 mg/kg body weight and 75.68 ± 3.73 s with p < 0.001 at 2.5 mg/kg body weight dose), whereas nitro-substituent compound (5) reduced the immobility time to 118.95 ± 1.31 and 106.69 ± 3.62 s (p < 0.001), respectively, at the tested doses (FST). For control groups, the recorded immobility time recorded was 177.24 ± 1.82 s. The standard drug diazepam significantly reduced immobility time to 70.13 ± 4.12 s while imipramine reduced it to 65.45 ± 2.81 s (p < 0.001). Similarly, in the TST, the compound 2 reduced immobility time to 74.93 ± 1.14 s (p < 0.001) and 70.38 ± 1.43 s (p < 0.001), while compound 5 reduced it to 88.23 ± 1.89 s (p < 0.001) and 91.31 ± 1.73 s (p < 0.001) at the tested doses, respectively, as compared to the control group immobility time (166.13 ± 2.18 s). The compounds 1, 3, 4, and 6 showed weak antidepressant responses as compared to compounds 2 and 5. The compounds 2 and 5 also significantly enhanced the GABA level in the brain's hippocampus of experimental animals, indicating the possible involvement of GABAergic mechanism in alleviating the depression which is evident from the significant increase in mRNA levels for the α subunit of the GABAA receptors in the prefrontal cortex of mice as well. From the results, it can be concluded that compound 2 and 5 could be used as alternative drugs of depression. However, further exploration in this connection is needed in other animal models in order to confirm the observed results in this study.

A Proposed Framework for Early Prediction of Schistosomiasis.

Schistosomiasis is a neglected tropical disease that continues to be a leading cause of illness and mortality around the globe. The causing parasites are affixed to the skin through defiled water and enter the human body. Failure to diagnose Schistosomiasis can result in various medical complications, such as ascites, portal hypertension, esophageal varices, splenomegaly, and growth retardation. Early prediction and identification of risk factors may aid in treating disease before it becomes incurable. We aimed to create a framework by incorporating the most significant features to predict Schistosomiasis using machine learning techniques. A dataset of advanced Schistosomiasis has been employed containing recovery and death cases. A total data of 4316 individuals containing recovery and death cases were included in this research. The dataset contains demographics, socioeconomic, and clinical factors with lab reports. Data preprocessing techniques (missing values imputation, outlier removal, data normalisation, and data transformation) have also been employed for better results. Feature selection techniques, including correlation-based feature selection, Information gain, gain ratio, ReliefF, and OneR, have been utilised to minimise a large number of features. Data resampling algorithms, including Random undersampling, Random oversampling, Cluster Centroid, Near miss, and SMOTE, are applied to address the data imbalance problem. We applied four machine learning algorithms to construct the model: Gradient Boosting, Light Gradient Boosting, Extreme Gradient Boosting and CatBoost. The performance of the proposed framework has been evaluated based on Accuracy, Precision, Recall and F1-Score. The results of our proposed framework stated that the CatBoost model showed the best performance with the highest accuracy of (87.1%) compared with Gradient Boosting (86%), Light Gradient Boosting (86.7%) and Extreme Gradient Boosting (86.9%). Our proposed framework will assist doctors and healthcare professionals in the early diagnosis of Schistosomiasis.

Implementation of an Intelligent Exam Supervision System Using Deep Learning Algorithms.

Examination cheating activities like whispering, head movements, hand movements, or hand contact are extensively involved, and the rectitude and worthiness of fair and unbiased examination are prohibited by such cheating activities. The aim of this research is to develop a model to supervise or control unethical activities in real-time examinations. Exam supervision is fallible due to limited human abilities and capacity to handle students in examination centers, and these errors can be reduced with the help of the Automatic Invigilation System. This work presents an automated system for exams invigilation using deep learning approaches i.e., Faster Regional Convolution Neural Network (RCNN). Faster RCNN is an object detection algorithm that is implemented to detect the suspicious activities of students during examinations based on their head movements, and for student identification, MTCNN (Multi-task Cascaded Convolutional Neural Networks) is used for face detection and recognition. The training accuracy of the proposed model is 99.5% and the testing accuracy is 98.5%. The model is fully efficient in detecting and monitoring more than 100 students in one frame during examinations. Different real-time scenarios are considered to evaluate the performance of the Automatic Invigilation System. The proposed invigilation model can be implemented in colleges, universities, and schools to detect and monitor student suspicious activities. Hopefully, through the implementation of the proposed invigilation system, we can prevent and solve the problem of cheating because it is unethical.