GC-MS based antioxidants characterization in Saussurea heteromalla (D. Don) Hand-Mazz by inhibition of nitric oxide generation in macrophages.

For centuries, medicinal plants have served as the cornerstone for traditional health care systems and same practice is still prevalent today. In the Himalayan region, Saussurea heteromalla holds a significant place in traditional medicine and is used to address various health issues. Despite its historical use, little exploration has focused on its potential for scavenging free radicals and reducing inflammation. Hence, our current study aims to investigate the free radical scavenging capabilities of S. heteromalla extracts. The n-hexane extract of entire plant revealed promising activity. This extract underwent extensive extraction on a larger scale. Subsequent purification, employing column chromatography, HPLC-DAD techniques, led to the identification of active compounds, confirmed via GC-MS and the NIST database as 1-O-butyl 2-O-octyl benzene-1,2-dicarboxylate and 2,4-ditert-butylphenol. Assessing the free radical scavenging properties involved utilizing RAW-264.7 macrophages activated by lipopolysaccharides. Notably, the compound 2,4-di-tert-butylphenol exhibited remarkable scavenging abilities, demonstrating over 80% inhibition of Nitric oxide. This study stands as the inaugural report on the isolation of these compounds from S. heteromalla.

Effect of methyl jasmonate and GA3 on canola (Brassica napus L.) growth, antioxidants activity, and nutrient concentration cultivated in salt-affected soils.

Salinity stress is a significant challenge in agricultural production. When soil contains high salts, it can adversely affect plant growth and productivity due to the high concentration of soluble salts in the soil water. To overcome this issue, foliar applications of methyl jasmonate (MJ) and gibberellic acid (GA3) can be productive amendments. Both can potentially improve the plant's growth attributes and flowering, which are imperative in improving growth and yield. However, limited literature is available on their combined use in canola to mitigate salinity stress. That's why the current study investigates the impact of different levels of MJ (at concentrations of 0.8, 1.6, and 3.2 mM MJ) and GA3 (0GA3 and 5 mg/L GA3) on canola cultivated in salt-affected soils. Applying all the treatments in four replicates. Results indicate that the application of 0.8 mM MJ with 5 mg/L GA3 significantly enhances shoot length (23.29%), shoot dry weight (24.77%), number of leaves per plant (24.93%), number of flowering branches (26.11%), chlorophyll a (31.44%), chlorophyll b (20.28%) and total chlorophyll (27.66%) and shoot total soluble carbohydrates (22.53%) over control. Treatment with 0.8 mM MJ and 5 mg/L GA3 resulted in a decrease in shoot proline (48.17%), MDA (81.41%), SOD (50.59%), POD (14.81%) while increase in N (10.38%), P (15.22%), and K (8.05%) compared to control in canola under salinity stress. In conclusion, 0.8 mM MJ + 5 mg/L GA3 can improve canola growth under salinity stress. More investigations are recommended at the field level to declare 0.8 mM MJ + 5 mg/L GA3 as the best amendment for alleviating salinity stress in different crops.

Myricetin Attenuates Ethylene Glycol-Induced Nephrolithiasis in Rats via Mitigating Oxidative Stress and Inflammatory Markers.

Urolithiasis or nephrolithiasis is a condition of kidney stone formation and is considered a painful disease of the urinary tract system. In this work, we planned to discover the therapeutic roles of myricetin on the ethylene glycol (EG)-induced nephrolithiasis in rats. The experimental rats were treated with 0.75% of EG through drinking water for 4 weeks to initiate the nephrolithiasis and subsequently treated with 25 and 50 mg/kg of myricetin. The body weight and urine volume were measured regularly. After the sacrification of rats, the samples were collected, and serum and urinary biomarkers such as creatinine, urea, Ca2 + ion, and BUN, OPN, oxalate, and citrate levels were determined using assay kits. These biomarkers, the MDA level and CAT, SOD, and GPx activities, were assessed in the kidney tissue homogenates. The IL-6, IL-1ß, and TNF-α levels were also quantified using respective kits. The histopathological analysis was done on the kidney tissues. Myricetin treatment did not show major changes in the body weight and kidney weight in the EG-induced rats. The treatment with 25 and 50 mg/kg of myricetin considerably reduced the urea, creatinine, BUN, Ca2 + ion, and oxalate and increased the citrate content in serum and urine samples of EG-induced rats. Further, myricetin depleted the inflammatory cytokines and MDA levels and elevated the CAT, SOD, and GPx activities in the renal tissues. The activities of ALT, AST, ALP, GGT, and LDH were also reduced by the myricetin. Furthermore, the myricetin upheld the histoarchitecture of the kidneys. The outcomes of this investigation propose that myricetin is effective in EG-induced urolithiasis probably because of its antioxidant, anti-inflammatory, and renoprotective activities. In addition, further studies are still required to verify the precise therapeutic mechanism of myricetin.

Anti-Allergic and Anti-inflammatory Effects of Bakuchiol on Ovalbumin-Induced Allergic Rhinitis in Mice.

Allergic rhinitis (AR) is a prevalent inflammatory disease primarily affecting the nasal mucosa and is caused by allergies. The common symptoms of AR include rhinorrhea, sneezing, itchy nose, congestion, teary eyes, and nasal rubbings. The present study assessed the beneficial properties of bakuchiol on OVA-induced AR in mice via the regulation of inflammatory responses. AR was induced by injecting (i.p.) OVA (50 µg) and aluminum hydroxide (1 mg) into mice at various time intervals. The bakuchiol treatment was done at dosages of 10 and 20 mg/kg with dexamethasone (2.5 mg/kg) as a positive control. The body weight and nasal symptoms were measured on the day of the last OVA challenge. For in vitro tests, mouse splenocytes were isolated, sensitized with 20 µL OVA, and then treated with 10 µM bakuchiol. The levels of pro-inflammatory cytokines, immunoglobulins, histamine, leukotriene C4 (LTC-4), and prostaglandin D2 (PGD2) were assayed using the corresponding assay kits. The assay kits were also used to analyze the status of oxidative stress markers. The Th1/Th2 cell proportion was assessed using flow cytometry. The bakuchiol (10 and 20 mg/kg) treatment reduced the nasal symptoms in AR mice. Bakuchiol decreased the levels of IL-4, IL-5, IL-13, Igs (IgE and IgG1), histamine, IL-10, IL-33, and TNF-α in AR mice. Bakuchiol also reduced PGDA and LTC-4 levels in the NLF of AR mice. The ROS and MDA levels were decreased, whereas boosted SOD activity was observed in the bakuchiol-treated AR mice. The eosinophil count was decreased in the nasal tissues of bakuchiol-treated AR mice. Bakuchiol also influenced the Th1 and Th2 cell proportions in AR mice. The present findings suggest that bakuchiol is effective against OVA-mediated allergic and inflammatory responses in AR mice through its strong anti-inflammatory properties.

Antioxidant and anticancer potential of ethyl acetate extract of bark and flower of Tecoma stans (Linn) and In Silico studies on phytoligands against Bcl 2 and VEGFR2 factors.

This study was designed to appraise the antioxidant and anticancer competence of solvent extracts of Tecoma stans (Linn) and analyze the phytoligands interaction against Bcl 2 VEGFR2 through in silico studies. The phytochemical analysis revealed that the ethyl acetate extract contains more number of pharmaceutically valuable phytochemicals than other solvent extracts. Among the various phytochemicals, flavonoid was found as a predominant component, and UV-Vis- spectrophotometer analysis initially confirmed it. Hence, the column chromatogram was performed to purify the flavonoid, and High-performance liquid chromatography (HPLC) was performed. It revealed that the flavonoid enriched fraction by compared with standard flavonoid molecules. About 84.69% and 80.43% of antioxidant activity were found from ethyl acetate extract of bark and flower at the dosage of 80 µg mL-1 with the IC50 value of 47.24 and 43.40 µg mL-1, respectively. In a dose-dependent mode, the ethyl acetate extract of bark and flower showed cytotoxicity against breast cancer cell line MCF 7 (Michigan Cancer Foundation-7) as up to 81.38% and 80.94% of cytotoxicity respectively. Furthermore, the IC50 was found as 208.507 µg mL-1 and 207.38 µg mL-1 for bark and flower extract correspondingly. About 10 medicinal valued flavonoid components were identified from bark (6) and flower (4) ethyl acetate extract through LC-MS analysis. Out of 10 components, the 3,5-O-dicaffeoylquinic acid (ΔG -8.8) and Isorhamnetin-3-O-rutinoside (ΔG -8.3) had the competence to interact with Bcl 2 (B-Cell Lymphoma 2) and VEGFR2 (Vascular Endothelial Growth Factor Receptor 2) respectively with more energy. Hence, these results confirm that the ethyl acetate extract of bark and flower of T. stans has significant medicinal potential and could be used as antioxidant and anticancer agent after some animal performance study.

Simultaneous quantification of losartan potassium and its active metabolite, EXP3174, in rabbit plasma by validated HPLC-PDA.

Herein, we report a novel, accurate and cost-effective validated analytical method for the quantification of losartan potassium and its active metabolite, EXP 3174, in rabbit plasma by reversed-phase high-performance liquid chromatography. Valsartan was used as an internal standard. The method was validated as per International Conference on Harmonization guidelines. The analytes were extracted in rabbit plasma using liquid-liquid extraction technique and analyzed at 247 nm after separation through a reverse-phase C18 column. The isocratic mobile phase used is a mixture of acetonitrile, water and glacial acetic acid in the ratio of 60:40:1 v/v/v maintained at pH 3.4. All calibration curves showed a good linear relationship (r > 0.995) within the test range. Precision was evaluated by intra- and interday tests with RSDs <1.91% and accuracy showed validated recoveries of 86.20-101.11%. Based on our results, the developed method features good quantification parameters and can serve as an effective quality control method for the standardization of drugs.

Utilisation of persistent chemical pollutant incorporating with nanoparticles to modify the properties of geopolymer and cement concrete.

The majority of industrial products are identified as persistent organic pollutants after their date of expiry, which is highly harmful to the ecosystem and human health and also going to be banned around the world. Paint latex is one of those pollutants which become a hazardous waste material after stocking for a long time. Approximately 20% of color paints do not get used for their desired purpose after getting sold out and end up in a landfill. Now a day's construction industry is inclining towards the various types of geo-polymer concrete since it does not require cement. But that geo-polymer concrete has too much less workability as compared to the same grade of control cement concrete. To achieve the desired workability as well as other properties of geo-polymer concrete by using waste paint latex as performance improving admixture is the main motive of the present research. Fourteen different mixes of control and calcined clay-based geo-polymer concrete have been prepared by adding up to 3% waste paint latex of weight of cementitious materials and a detailed study has been done on various properties such as workability, rheology, shrinkage, strength and its microstructure. The presence of nanoparticles of TiO2 in waste paint latex has helped to produce extra hydration products, by which the mechanical properties, durability and microstructure of both traditional and geo-polymer concrete have increased. It has been concluded that a higher dose of waste paint latex improves the workability but the strength and durability properties of traditional and geo-polymer concrete improve up to 2-2.5% of waste paint latex replaced to water.

IOTEML: An Internet of Things (IoT)-Based Enhanced Machine Learning Model for Tumour Investigation.

In the current age of technology, various diseases in the body are also on the rise. Tumours that cause more discomfort in the body are set to increase the discomfort of most patients. Patients experience different effects depending on the tumour size and type. Future developments in the medical field are moving towards the development of tools based on IoT devices. These advances will in the future follow special features designed based on multiple machine learning developed by artificial intelligence. In that order, an improved algorithm named Internet of Things-based enhanced machine learning is proposed in this paper. What makes it special is that it involves separate functions to diagnose each type of tumour. It analyzes and calculates things like the size, shape, and location of the tumour. Cure from cancer is determined by the stage at which we find cancer. Early detection of cancer has the potential to cure quickly. At a saturation point, the proposed Internet of Things-based enhanced machine learning model achieved 94.56% of accuracy, 94.12% of precision, 94.98% of recall, 95.12% of F1-score, and 1856 ms of execution time. The simulation is conducted to test the efficacy of the model, and the results of the simulation show that the proposed Internet of Things-based enhanced machine learning obtains a higher rate of intelligence than other methods.

An Image Processing Approach for Detection of Prenatal Heart Disease.

Prenatal heart disease, generally known as cardiac problems (CHDs), is a group of ailments that damage the heartbeat and has recently now become top deaths worldwide. It connects a plethora of cardiovascular diseases risks to the urgent in need of accurate, trustworthy, and effective approaches for early recognition. Data preprocessing is a common method for evaluating big quantities of information in the medical business. To help clinicians forecast heart problems, investigators utilize a range of data mining algorithms to examine enormous volumes of intricate medical information. The system is predicated on classification models such as NB, KNN, DT, and RF algorithms, so it includes a variety of cardiac disease-related variables. It takes do with an entire dataset from the medical research database of patients with heart disease. The set has 300 instances and 75 attributes. Considering their relevance in establishing the usefulness of alternate approaches, only 15 of the 75 criteria are examined. The purpose of this research is to predict whether or not a person will develop cardiovascular disease. According to the statistics, naïve Bayes classifier has the highest overall accuracy.

A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs.

Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a challenging task. The blood veins visible in fundus photographs are used in several disease diagnosis approaches. We sought to replicate the findings published in implementation and verification of a deep learning approach for diabetic retinopathy identification in retinal fundus pictures. To address this issue, the suggested investigative study uses recurrent neural networks (RNN) to retrieve characteristics from deep networks. As a result, using computational approaches to identify certain disorders automatically might be a fantastic solution. We developed and tested several iterations of a deep learning framework to forecast the progression of diabetic retinopathy in diabetic individuals who have undergone teleretinal diabetic retinopathy assessment in a basic healthcare environment. A collection of one-field or three-field colour fundus pictures served as the input for both iterations. Utilizing the proposed DRNN methodology, advanced identification of the diabetic state was performed utilizing HE detected in an eye's blood vessel. This research demonstrates the difficulties in duplicating deep learning approach findings, as well as the necessity for more reproduction and replication research to verify deep learning techniques, particularly in the field of healthcare picture processing. This development investigates the utilization of several other Deep Neural Network Frameworks on photographs from the dataset after they have been treated to suitable image computation methods such as local average colour subtraction to assist in highlighting the germane characteristics from a fundoscopy, thus, also enhancing the identification and assessment procedure of diabetic retinopathy and serving as a skilled guidelines framework for practitioners all over the globe.

Investigation on Inorganic Salts K2TiF6 and KBF4 to Develop Nanoparticles Based TiB2 Reinforcement Aluminium Composites.

In the current research, AA6082 aluminium alloy matrix composites (AAMCs) incorporated with various weight fractions of titanium diboride (0, 3, 6, and 9 wt%) were prepared via an in situ casting technique. The exothermic reaction between inorganic powders like dipotassium hexafluorotitanate (K2TiF6) and potassium tetrafluoroborate (KBF4) in molten Al metal contributes to the development of titanium diboride content. The manufactured AA6082-TiB2 AAMCs were evaluated using a scanning electron microscope (SEM) and X-ray diffraction (XRD). The mechanical properties and wear rate (WR) of the AAMCs were investigated. XRD guarantees the creation of TiB2 phases and proves the nonappearance of reaction products in the AMCs. SEM studies depict the even dispersion of TiB2 in the matrix alloy. The mechanical and tribological properties (MTP) of the AAMCs showed improvement by the dispersion of TiB2 particles. The WR decreases steadily with TiB2 and the least WR is seen at nine weight concentrations of TiB2/AA6082 AAMCs. Fabricated composites revealed 47.9% higher flexural strength and 14.2% superior compression strength than the base AA6082 alloy.

A novel synthesis, analysis and evaluation of Musa coccinea based zero valent iron nanoparticles for antimicrobial and antioxidant.

Zerovalent Iron Nanoparticles (MC-ZVI NPs) were synthesized from Musa coocinea peel extract as reducing and stabilizing agent using a novel synthesis technique. The synthesis of MC-ZVI NPs was confirmed using UV-vis spectroscopy showing a sharp absorption peak at 341 nm. Further the chemical and structural characterization of MC-ZVI NPs were performed using Fourier Transform Infrared spectroscopy (FTIR), Scanning Electron Microscopy (SEM), and Dynamic Light Scattering technique (DLS). FTIR analysis revealed the presence of phytochemical molecules associated with the MC-ZVI NPs. SEM analysis revealed the synthesized MC-ZVI NPs were in spherical shaped, while DLS analysis confirmed the synthesis of poly dispersed and non-homogenous MC-ZVI NPs. The antimicrobial efficacy of MC-ZVI NPs synthesized using Musa coccinea peel extract was tested against bacterial (Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, and Bacillus subtilis) and fungal (Aspergillus niger) pathogens. But MC-ZVI NPs exhibited maximum of 19 mm zone of inhibition against B. subtilis and A. niger. Further the free radical scavenging activity MC-ZVI NPs was confirmed using DPPH, hydroxyl radical, hydrogen peroxide, FRAP assay showing displayed effective antioxidant activity. Thus, the present idea will give a fast and cost effective approach to synthesize MC-ZVI NPs with antimicrobial property for application in biomedical purposes.

Novel green synthesis and characterization of a chemotherapeutic supplement by silver nanoparticles containing Berberis thunbergii leaf for the treatment of human pancreatic cancer.

In recent years, silver nanoparticles have been used as modern chemotherapeutic drugs to treat several cancers such as pancreatic, breast, prostate, and blood cancers. No previous reports demonstrated the in vitro anti-human pancreatic cancer effects of the novel chemotherapeutic drug formulated by silver nanoparticles containing Berberis thunbergii leaf (AgNPs). The synthesized AgNPs were characterized using different techniques including UV-vis. and FT-IR spectroscopy, X-ray diffraction, scanning electron microscopy (SEM), and TEM. All techniques approved the synthesized silver nanoparticles. The SEM and TEM exhibited a uniform spherical morphology and an average size of about 15 nm for the biosynthesized nanoparticles, respectively. The 4-(dimethylamino)benzaldehyde,2,2-diphenyl-1- pikrilhydrazil (DPPH) test revealed similar antioxidant potentials for B. thunbergii leaf aqueous extract, AgNPs, and butylated hydroxytoluene. AgNPs inhibited half of the DPPH molecules in the concentration of 108 µg/mL. To survey the anti-human pancreatic cancer activities of AgNO3 , B. thunbergii leaf aqueous extract, and AgNPs, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay was used on common human pancreatic cancer cell lines. AgNPs had very low cell viability and anti-human pancreatic cancer effects dose-dependently against PANC-1, AsPC-1, and MIA PaCa-2. The IC50 values of the AgNPs were 259, 268, and 141 µg/mL against PANC-1, AsPC-1, and MIA PaCa-2 cell lines, respectively. It is thought that the AgNPs obtained can be used as an anticancer drug for the diagnosis of pancreatic cancer in humans after acceptance of the above findings in clinical study trials.

Awareness of Rheumatic Heart Disease in Egypt: A National Multicenter Study.

BACKGROUND: While the prevalence of rheumatic heart disease (RHD) in Egypt is relatively high, data on the awareness of Egyptians about the cause of RHD are lacking. METHODS: Using a pre-tested questionnaire, we performed a multicenter survey of outpatients attending 15 university hospitals across Egypt. RESULTS: A total of 6958 participants were interviewed. Most subjects (81.7%) reported a previous experience of sore throat. Seeking treatment, most patients (69.3%) consulted a medical professional, while the others relied on self/peer medication. Individuals consulting a physician received antibiotics more frequently than those who did not (89.1 vs. 38.7%; OR: 12.4, 95% CI 10.8-14.1). The median RHD knowledge score in our sample was 4 (IQR = 6). While most subjects (56.3%) claimed knowledge of the complications of an untreated sore throat, only a third (34%) were aware of the association between sore throat and RHD. In a multivariate analysis, older age (Mean Difference [MD]: 1.58, 95% CI 1.37-1.79), female gender (MD: 0.89, 95% CI 0.75-1.04), higher education (MD: 1.10, 95% CI 0.90-1.30), and being interviewed outside Cairo (MD: 0.67, 95% CI 0.51-0.82) were significant predictors of knowledge about RHD. CONCLUSION: The current study showed low levels of awareness on the cause of RHD among Egyptians and highlights a pressing need for interventions to address this public knowledge gap.

COVID-19 Vaccine Intention among Healthcare Workers in Saudi Arabia: A Cross-Sectional Survey.

The COVID-19 pandemic has caused largescale morbidity and mortality and a tremendous burden on the healthcare system. Healthcare workers (HCWs) require adequate protection to avoid onward transmission and minimize burden on the healthcare system. Moreover, HCWs can also influence the general public into accepting the COVID-19 vaccine. Therefore, determining COVID-19 vaccine intention among HCWs is of paramount importance to plan tailor-made public health strategies to maximize vaccine coverage. A structured questionnaire was administered in February and March 2021 among HCWs in Saudi Arabia using convenience sampling, proceeding the launch of the vaccination campaign. HCWs from all administrative regions of Saudi Arabia were included in the study. In total, 674 out of 1124 HCWs responded and completed the survey (response rate 59.9%). About 65 percent of the HCWs intended to get vaccinated. The intention to vaccinate was significantly higher among HCWs 50 years of age or older, Saudi nationals and those who followed the updates about COVID-19 vaccines (p < 0.05). The high percentage (26 percent) of those who were undecided in getting vaccinated is a positive sign. As the vaccination campaign gathers pace, the attitude is expected to change over time. Emphasis should be on planning healthcare strategies to convince the undecided HCWs into accepting the vaccine in order to achieve the coverage required to achieve herd immunity.

Evolutionary profile of the family Calliphoridae, with notes on the origin of myiasis.

The family Calliphoridae is a group of heterogenous calyptrate flies with a worldwide distribution including species of ecological, veterinary, medical, and forensic importance. Notorious for their parasitic habits, the larvae of many blowflies are characterised - like some other dipteran larvae - by their ability to develop in animal flesh. When parasitism affects a living host, it is termed "myiasis". This has led the Calliphoridae to be considered as a pivotal family in its relationship with a man. Nevertheless, even after more than 50 years of research, the phylogenetic relationships among calliphorid subfamilies together with the evolutionary origin of myiasis remain unclear. In order to elucidate these problems, we constructed three phylogenetic trees by using nucleotide sequence data from cytochrome oxidase subunit one (COI), representing a mitochondrial conservative gene, and nuclear 28S subunit of ribosomal RNA gene (28S rRNA) in order to interpret the evolutionary profile of myiasis in the family Calliphoridae. The sequenced data represented species associated with ectoparasitic life-styles, either saprophagy or facultative and obligate parasitism. A total number of 50 accessions were collected for 28S rRNA, 56 for COI, and 38 for combined sequences phylogeny. Molecular Evolutionary Genetics Analysis (MEGA) software was used to align 2197 nucleotide positions of 28S rRNA and 1500 nucleotide positions of COI with a gap opening penalties and gap extension penalties equalling 20 and 0.1 respectively. The results reveal the non-monophyly of the family Calliphoridae despite the stable monophyletic status of the Chrysomyinae, Luciliinae, and Auchmeromyiinae. Also, our findings recommend ranking the Toxotarsinae as a separate family. Furthermore, comparative analysis of the phylogenetic trees shows that the habit of obligatory myiasis originated independently more than five times. This strengthens our hypothesis that the origin of eating fresh meat is a case of convergent evolution that has taken place after speciation events millions of years ago. Finally, estimating the divergence dates between lineages from molecular sequences provides a better chance of understanding their evolutionary biology.

Evaluating the potency of Sulawesi propolis compounds as ACE-2 inhibitors through molecular docking for COVID-19 drug discovery preliminary study.

Coronavirus disease (COVID-19) is a global pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Up to date, there has been no specific cure to treat the disease. Indonesia is one of the countries that is still fighting to control virus transmission. Yet, at the same time, Indonesia has a rich biodiversity of natural medicinal products that potentially become an alternative cure. Thus, this study examined the potency of a natural medicinal product, Sulawesi propolis compounds produced by Tetragonula sapiens, inhibiting angiotensin-converting activity enzyme-2 (ACE-2), a receptor of SARS-CoV-2 in the human body. In this study, molecular docking was done to analyze the docking scores as the representation of binding affinity and the interaction profiles of propolis compounds toward ACE-2. The results illustrated that by considering the docking score and the presence of interaction with targeted sites, five compounds, namely glyasperin A, broussoflavonol F, sulabiroins A, (2S)-5,7-dihydroxy-4'-methoxy-8-prenylflavanone and isorhamnetin are potential to inhibit the binding of ACE-2 and SARS-CoV-2, with the docking score of -10.8, -9.9, -9.5, -9.3 and -9.2 kcal/mol respectively. The docking scores are considered to be more favorable compared to MLN-4760 as a potent inhibitor.

Green Synthesis of Chromium Oxide Nanoparticles for Antibacterial, Antioxidant Anticancer, and Biocompatibility Activities.

This study deals with the green synthesis of chromium oxide (Cr2O3) nanoparticles using a leaf extract of Abutilon indicum (L.) Sweet as a reducing and capping agent. Different characterization techniques were used to characterize the synthesized nanoparticles such as X-ray diffraction (XRD), Scanning electron microscope (SEM), Transmission electron microscope (TEM), Energy-dispersive X-ray (EDX), Fourier transform infrared (FTIR), X-ray photoelectron spectroscopy (XPS), and ultraviolet-visible (UV-VIS) spectroscopy. The X-ray diffraction technique confirmed the purity and crystallinity of the Cr2O3 nanoparticles. The average size of the nanoparticles ranged from 17 to 42 nm. The antibacterial activity of the green synthesized nanoparticles was evaluated against four different bacterial strains, E. coli, S. aureus, B. bronchiseptica, and B. subtilis using agar well diffusion and a live/dead staining assay. The anticancer activities were determined against Michigan Cancer Foundation-7 (MCF-7) cancer cells using MTT and a live/dead staining assay. Antioxidant activity was investigated in the linoleic acid system. Moreover, the cytobiocompatibility was analyzed against the Vero cell lines using MTT and a live/dead staining assay. The results demonstrated that the green synthesized Cr2O3 nanoparticles exhibited superior antibacterial activity in terms of zones of inhibition (ZOIs) against Gram-positive and Gram-negative bacteria compared to plant extracts and chemically synthesized Cr2O3 nanoparticles (commercial), but comparable to the standard drug (Leflox). The green synthesized Cr2O3 nanoparticles exhibited significant anticancer and antioxidant activities against MCF-7 cancerous cells and the linoleic acid system, respectively, compared to chemically synthesized Cr2O3 nanoparticles. Moreover, cytobiocompatibility analysis displayed that they presented excellent biocompatibility with Vero cell lines than that of chemically synthesized Cr2O3 nanoparticles. These results suggest that the green synthesized Cr2O3 nanoparticles' enhanced biological activities might be attributed to a synergetic effect. Hence, green synthesized Cr2O3 nanoparticles could prove to be promising candidates for future biomedical applications.

Tomentosin inhibits cell proliferation and induces apoptosis in MOLT-4 leukemia cancer cells through the inhibition of mTOR/PI3K/Akt signaling pathway.

Leukemia is amongst the cancers accountable for substantial mortality around the world. Tomentosin is a bioactive compound with a pharmacological significance, and its anticancer property against human leukemia MOLT-4 cell line has never been reported. Hence, the objective of this study was to explore the anticancer activity of tomentosin in MOLT-4 human leukemia cells. In the current investigation, the cytotoxic effects of tomentosin ensuing potent toxicity (IC50 : 10 µM) in MOLT-4 cells after incubation at 24 h have been presented. Furthermore, tomentosin triggered intracellular reactive oxygen species production and showed the induction of intrinsic/mitochondrial pathways in treated MOLT-4 cells, revealing a significant cytotoxicity activity. Also, fluorescent microscopic studies using acridine orange/ethidium bromide and propidium iodide staining confirmed the occurrence of apoptosis in tomentosin-treated MOLT-4 cells. Quantitative reverse transcription polymerase chain reaction presented a negative regulation of cyclin D1 and BcL-2 expression and a positive regulated BAX and caspase-3 messenger RNA expression in tomentosin-treated MOLT-4 cells. Tomentosin further inhibited the inflammatory transcription factors such as nuclear factor κB (NF-κB), tumor necrosis factor α, interleukin 1ß (IL-1ß), and IL-6. Additionally, inhibition of the m-TOR/PI3K/AKT protein expression by tomentosin in MOLT-4 cells was confirmed. Overall, these findings lead to a conclusion that tomentosin induces apoptosis in MOLT-4 cells through caspase-facilitated proapoptotic pathway, and inhibition of the NF-κB-stimulated Bcl-2 facilitated the antiapoptotic pathway.

In situ decorated Au NPs on chitosan-encapsulated Fe3O4-NH2 NPs as magnetic nanocomposite: Investigation of its anti-colon carcinoma, anti-gastric cancer and anti-pancreatic cancer.

Chitosan is a linear polysaccharide and non-toxic bioactive polymer with a wide variety of applications due to its functional properties such as ease of modification, and biodegradability. In this investigation, magnetic cores (Fe3O4) were synthesized using a fabrication method involving coprecipitation of Fe2+ and Fe3+. Then the magnetic nanoparticles were encapsulated by chitosan layers. In the next step, magnetite-gold composite nanoparticles were synthesized with spherical shapes and sizes ranging from 20 to 30 nm, using sodium citrate as a natural reducing agent. The morphological and physicochemical features of the material were determined using several advanced techniques like FT-IR, ICP analysis, FESEM, EDS, XRD, TEM, XPS and VSM. In the biological part of the present study, the cell viability of Fe3O4, HAuCl4, and Fe3O4@CS/AuNPs was very low against human colorectal carcinoma cell lines i.e. Ramos.2G6.4C10, HCT-8 [HRT-18], HCT 116, and HT-29, human gastric cancer cell lines i.e. MKN45, AGS, and KATO III, and human pancreatic cancer cell lines i.e. PANC-1, AsPC-1, and MIA PaCa-2. The IC50 of Fe3O4@CS/AuNPs against Ramos.2G6.4C10, HCT-8 [HRT-18], HCT 116, HT-29, MKN45, AGS, KATO III, PANC-1, AsPC-1, and MIA PaCa-2 cell lines were 385, 429, 264, 286, 442, 498, 561, 513, 528, and 425 µg/mL, respectively. Thereby, the best cytotoxicity results of our Fe3O4@CS/AuNPs were observed in the case of the HCT 116 cell line. Seemingly, the present nanoparticles may be used for the treatment of several types of gastro-duodenal cancers especially colon, gastric, and pancreatic cancers in near future.