Eco-friendly graphene quantum dots as a novel spectrofluorimetric probe for lamivudine quantification with evaluation of its greenness and blueness profiles.

In this study, graphene quantum dots (GQDs) were employed for quantitatively analyzing lamivudine using a fluorescence quenching technique. This approach allows for sensitive determination of the concentration of lamivudine in different matrices without requiring derivatization. The mechanism behind the fluorescence intensity quenching between GQDs and lamivudine molecules was explored using the Stern Volmer equation, revealing dynamic quenching behavior. Additionally, various factors affecting fluorescence quenching efficiency such as pH, GQDs concentration, and incubation time were carefully tuned. Moreover, our developed method successfully met ICH guidelines for validation parameters including linearity, accuracy, precision, and selectivity demonstrating excellent performance. The results showed good accuracy and precision, with a mean recovery value of 101.91% for method accuracy and a relative standard deviation of 0.682 and 1.489 for intraday and interday precision, respectively. Finally, the greenness and blueness of the developed method were also investigated to assess its environmental friendliness and analytical practicality. Greenness evaluation using the AGREE tool demonstrated that the developed method has a low environmental impact with an AGREE score of 0.75, Besides, the blueness evaluating using the BAGI tool indicated that the developed method is practical, reliable, and well-suited for routine analysis of lamivudine in various samples.

Identification of Helicobacter pylori-carcinogenic TNF-alpha-inducing protein inhibitors via daidzein derivatives through computational approaches.

Gastric cancer is considered a class 1 carcinogen that is closely linked to infection with Helicobacter pylori (H. pylori), which affects over 1 million people each year. However, the major challenge to fight against H. pylori and its associated gastric cancer due to drug resistance. This research gap had led our research team to investigate a potential drug candidate targeting the Helicobacter pylori-carcinogenic TNF-alpha-inducing protein. In this study, a total of 45 daidzein derivatives were investigated and the best 10 molecules were comprehensively investigated using in silico approaches for drug development, namely pass prediction, quantum calculations, molecular docking, molecular dynamics simulations, Lipinski rule evaluation, and prediction of pharmacokinetics. The molecular docking study was performed to evaluate the binding affinity between the target protein and the ligands. In addition, the stability of ligand-protein complexes was investigated by molecular dynamics simulations. Various parameters were analysed, including root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), radius of gyration (Rg), hydrogen bond analysis, principal component analysis (PCA) and dynamic cross-correlation matrix (DCCM). The results has confirmed that the ligand-protein complex CID: 129661094 (07) and 129664277 (08) formed stable interactions with the target protein. It was also found that CID: 129661094 (07) has greater hydrogen bond occupancy and stability, while the ligand-protein complex CID 129664277 (08) has greater conformational flexibility. Principal component analysis revealed that the ligand-protein complex CID: 129661094 (07) is more compact and stable. Hydrogen bond analysis revealed favourable interactions with the reported amino acid residues. Overall, this study suggests that daidzein derivatives in particular show promise as potential inhibitors of H. pylori.

Utilization of absorbance subtraction and ratio difference green spectrophotometric methods for the quantification of alfuzosin hydrochloride and tadalafil in their binary mixture.

Alfuzosin hydrochloride and tadalafil fixed-dose combination tablets were recently formulated for the treatment of individuals with lower urinary tract symptoms caused by benign prostatic hyperplasia. Herein, the first spectrophotometric methods for quantitative analysis of alfuzosin hydrochloride and tadalafil in their binary mixture were established. The spectral overlapping of alfuzosin hydrochloride and tadalafil made direct simultaneous analysis unfeasible. Therefore, two mathematical methods were used to solve these overlapping spectra: absorbance subtraction and ratio difference. The absorbance subtraction method manipulates the zero absorption spectra of the studied drugs at the isoabsorptive point (272 nm) and uses the absorbance factor of pure ALF to calculate the absorbance of the studied drugs in the mixture at the isoabsorptive point. The ratio spectra method, on the other hand, manipulates the ratio spectra of the studied drugs, which are obtained by dividing each drug's zero absorption spectra by a divisor spectrum from the second drug. The ratio amplitude difference between 251 nm and 211 nm was directly proportional to alfuzosin hydrochloride, whereas between 292 nm and 222 nm it was directly proportional to tadalafil. The methods used were verified in accordance with the recommendations of the ICH and demonstrated adequate linear regression in working ranges of 1-15 µg/mL for alfuzosin hydrochloride and 3-40 µg/mL for tadalafil. The methods were accurate, precise, and selectively employed to quantify alfuzosin hydrochloride and tadalafil in their combined tablets.

Neuroendocrine and cellular mechanisms in stress resilience: From hormonal influence in the CNS to mitochondrial dysfunction and oxidative stress.

Recent advancements in neuroendocrinology challenge the long-held belief that hormonal effects are confined to perivascular tissues and do not extend to the central nervous system (CNS). This paradigm shift, propelled by groundbreaking research, reveals that synthetic hormones, notably in anti-inflammatory medications, significantly influence steroid psychosis, behavioural, and cognitive impairments, as well as neuropeptide functions. A seminal development in this field occurred in 1968 with McEven's proposal that rodent brains are responsive to glucocorticoids, fundamentally altering the understanding of how anxiety impacts CNS functionality and leading to the identification of glucocorticosteroids and mineralocorticoids as distinct corticotropic receptors. This paper focuses on the intricate roles of the neuroendocrine, immunological, and CNS in fostering stress resilience, underscored by recent animal model studies. These studies highlight active, compensatory, and passive strategies for resilience, supporting the concept that anxiety and depression are systemic disorders involving dysregulation across both peripheral and central systems. Resilience is conceptualized as a multifaceted process that enhances psychological adaptability to stress through adaptive mechanisms within the immunological system, brain, hypothalamo-pituitary-adrenal axis, and ANS Axis. Furthermore, the paper explores oxidative stress, particularly its origin from the production of reactive oxygen species (ROS) in mitochondria. The mitochondria's role extends beyond ATP production, encompassing lipid, heme, purine, and steroidogenesis synthesis. ROS-induced damage to biomolecules can lead to significant mitochondrial dysfunction and cell apoptosis, emphasizing the critical nature of mitochondrial health in overall cellular function and stress resilience. This comprehensive synthesis of neuroendocrinological and cellular biological research offers new insights into the systemic complexity of stress-related disorders and the imperative for multidisciplinary approaches in their study and treatment.

Quantum biochemical analysis of the binding interactions between a potential inhibitory drug and the Ebola viral glycoprotein.

Ebola virus disease (EVD) causes outbreaks and epidemics in West Africa that persist until today. The envelope glycoprotein of Ebola virus (GP) consists of two subunits, GP1 and GP2, and plays a key role in anchoring or fusing the virus to the host cell in its active form on the virion surface. Toremifene (TOR) is a ligand that mainly acts as an estrogen receptor antagonist; however, a recent study showed a strong and efficient interaction with GP. In this context, we aimed to evaluate the energetic affinity features involved in the interaction between GP and toremifene by computer simulation techniques using the Molecular Fractionation Method with Conjugate Caps (MFCC) scheme and quantum-mechanical (QM) calculations, as well as missense mutations to assess protein stability. We identified ASP522, GLU100, TYR517, THR519, LEU186, LEU515 as the most attractive residues in the EBOV glycoprotein structure that form the binding pocket. We divided toremifene into three regions and evaluated that region i was more important than region iii and region ii for the formation of the TOR-GP1/GP2 complex, which might control the molecular remodeling process of TOR. The mutations that caused more destabilization were ARG134, LEU515, TYR517 and ARG559, while those that caused stabilization were GLU523 and ASP522. TYR517 is a critical residue for the binding of TOR, and is highly conserved among EBOV species. Our results may help to elucidate the mechanism of drug action on the GP protein of the Ebola virus and subsequently develop new pharmacological approaches against EVD.Communicated by Ramaswamy H. Sarma.

Augmented least squares, a powerful chemometric approach for the spectroscopic analysis of the antiretroviral therapy abacavir, lamivudine and dolutegravir in their ternary mixture.

Augmented least squares models such as concentration residual augmented classical least squares (CRACLS) and spectral residual augmented classical least squares (SRACLS) are powerful chemometric approaches that can be applied for spectroscopic analysis of many pharmaceutical compounds. Herein, both CRACLS and SRACL have been employed for UV spectral analysis of three antiretroviral therapy namely abacavir (ACV), lamivudine (LMV) and dolutegravir (DTG) in their ternary mixture. A partial factorial design has been utilized for calibration set construction then both CRACLS and SRACLS models have been optimized regarding the number of iterations and principal components, respectively, using a leave-one-out cross-validation procedure. It was found that a higher number of iterations and principal components were required for modelling the minor component DTG indicating more augmentation procedures to improve the models' accuracy. Validation of the proposed models was performed using external validation set of 13 mixtures and different validation parameters have been evaluated regarding models' predictive abilities. Both models showed excellent performance for analyzing ACV and LMV with relative root mean square error of prediction (RRMSEP) below 2 %. However, higher RRMSEP values around 5 % were observed for the minor component DTG suggesting that these models should be utilized with caution when analyzing minor components in mixtures. Furthermore, the suggested models have been applied for analyzing ACV, LMV and DTG in their pharmaceutical formulation and excellent agreement was observed between the suggested models and the reported chromatographic method posing these models as powerful chemometric approaches for quality control analysis of many pharmaceutical compounds.

Development of fluorescence chemo sensor for selective histamine determination in spiked human plasma samples.

Histamine is crucial for controlling a variety of physiological processes and its dysregulation is linked to various pathological conditions, including allergic disorders, autoimmune diseases and inflammatory conditions. Herein, a novel fluorescence chemo sensor was produced to measure histamine in the pure form and spiked human plasma matrix. The proposed method is based on chemical transformation of histamine into a fluorescent product, N-(2-(1H-imidazol-4-yl) ethyl)-2-bromoacetamide, exhibiting unique fluorescence properties compared to non-fluorescent histamine molecule. This transformation occurs through a sequence of chemical reactions involving the interaction of histamine with trimethylamine, resulting in the formation of a nucleophilic intermediate that subsequently reacts with electrophilic bromoacetyl bromide. The transformed fluorescent product demonstrates an emission at 340 nm after being excited at 250 nm. Significant concentration-dependent fluorescence enhancement was obtained enabling histamine determination. The procedures were examined for accuracy, precision, selectivity, and robustness in line with the ICH M10 recommendations. The method exhibits a lower limit of quantification at 0.25 ng/mL and dynamic detection throughout a linearity range of 1-200 ng/mL, providing accurate assessment of histamine in the plasma matrix.

Cichorium intybus L. significantly alleviates cigarette smoke-induced acute lung injury by lowering NF-κB pathway activation and inflammatory mediators.

Background: Cigarette smoke (CS) is one of the primary causes of acute lung injury (ALI) via provoking pulmonary inflammation and oxidative stress. Despite substantial studies, no effective treatment for ALI is presently available. Purpose: New prospective treatment options for ALI are required. Thus, this project was designed to investigate the in vivo and in vitro protective effects of 70 % methanolic-aqueous crude extract of whole plant of Cichorium intybus (Ci.Mce) against CS-induced ALI. Study design: /methods: Initially, male Swiss albino mice were subjected to whole-body CS exposure for 10 continuous days to prepare CS-induced ALI models. Normal saline (10 mL/kg), Ci.Mce (100, 200, 300 mg/kg), and Dexamethasone (1 mg/kg) were orally administered to respective animal groups 1 h prior to CS-exposure. 24 hrs after the last CS-exposure, BALF and lungs were harvested to study the key characteristics of ALI. Next, HPLC analysis was done to explore the phytoconstituents. Results: Ci.Mce exhibited significant reductions in lung macrophage and neutrophil infiltration, lung weight coefficient, and albumin exudation. Additionally, it effectively ameliorated lung histopathological alterations and hypoxemia. Notably, Ci.Mce exerted inhibitory effects on the excessive generation of IL-6, IL-1ß, and KC in both CS-induced ALI murine models and CSE-stimulated RAW 264.7 macrophages. Noteworthy benefits included the attenuation of oxidative stress induced by CS, evidenced by decreased levels of MDA, TOS, and MPO, alongside enhanced TAC production. Furthermore, Ci.Mce demonstrated a marked reduction in CS-induced NF-κB expression, both in vivo and in vitro. Conclusion: Consequently, Cichorium intybus could be a therapeutic option for CS-induced ALI due to its ability to suppress inflammatory reactions, mitigate oxidative stress, and quell NF-κB p65 activation.

Green spectrofluorimetric quantification of aspirin, olmesartan, and metoprolol in spiked human plasma.

Low dose aspirin is routinely taken with antihypertensive drugs such as olmesartan and metoprolol to avoid the cardiovascular and renal outcomes associated with high blood pressure. The first spectrofluorimetric method for quantifying aspirin, olmesartan, and metoprolol in spiked human plasma is described here. The emission/excitation wavelengths of Aspirin, olmesartan, and metoprolol were 404 nm/290 nm, 372 nm/250 nm, and 302 nm/230 nm, respectively. The native fluorescence spectra of metoprolol do not overlap with those of aspirin or olmesartan, although the spectra of aspirin and olmesartan overlap. As a result, metoprolol could be measured directly in a mixture at 302 nm following excitation at 230 nm. Using synchronous fluorescence spectrometry at Δλ = 110 allowed for the determination of olmesartan at 364 nm with no interference from aspirin and metoprolol. Coupling the synchronous fluorescence spectrometry with second-order derivative allowed for the determination of aspirin at 426 nm with no interference from olmesartan and metoprolol. The suggested approach has been validated using ICH M10 criteria for bioanalytical method validation and was effectively utilized for quantification of tested medications in human plasma with reasonable accuracy and precision findings. Furthermore, using two greenness metrics, the Green Analytical Procedure Index and the Analytical GREEnness, the suggested method obtained a high greenness score.

Lupenone, a wonder chemical obtained from Euphorbia segetalis to boost affinity for the transcriptional factor escalating drought-tolerance in Solanum Lycopersicum: A cutting-edge computational biology approach.

Drought is the single greatest abiotic factor influencing crop yield worldwide. Plants remain in one area for extended periods, making them vulnerable to natural and man-made influences. Understanding plant drought responses will help us develop strategies for breeding drought-resistant crops. Large proteome analysis revealed that leaf and root tissue proteins respond to drought differently depending on the plant's genotype. Commonly known as tomatoes, Solanum Lycopersicum is a globally important vegetable crop. However, drought stress is one of the most significant obstacles to tomato production, making the development of cultivars adapted to dry conditions an essential goal of agricultural biotechnology. Breeders have put quite a lot of time and effort into the tomato to increase its productivity, adaptability, and resistance to biotic and abiotic challenges. However, conventional tomato breeding has only improved drought resistance due to the complexity of drought traits. The resilience of tomatoes under drought stress has been the subject of extensive study. Using contemporary sequencing approaches like genomics, transcriptomics, proteomics, and metabolomics has dramatically aided in discovering drought-responsive genes. One of the most prominent families of plant transcription factors, WRKY genes, plays a crucial role in plant growth and development in response to natural and abiotic stimuli. To develop plants that can withstand both biotic and abiotic stress, understanding the relationships between WRKY-proteins (transcription factors) and other proteins and ligands in plant cells is essential. This is despite the fact that tomatoes have a long history of domestication. This research aims to utilize Lupenone, a hormone produced in plant roots in response to stress, to increase drought resistance in plants. Lupenone exhibits a strong affinity for the WRKY protein at -9.64 kcal/mol. Molecular docking and modeling studies show that these polyphenols have a significant role in making Solanum Lycopersicum drought-resistant and improving the quality of its fruit. As a result of climate change, droughts are occurring more frequently and persisting for more extended periods, making it necessary to breed crops resistant to drought. While considerable variability for tolerance exists in wild cousins, little is known about the processes and essential genes influencing drought tolerance in cultivated tomato species.

Unveiling Nature's potential: Promising natural compounds in Parkinson's disease management.

Parkinson's disease (PD) is a common neurodegenerative disorder characterized by the progressive degeneration of dopaminergic neurons in the substantia nigra pars compacta. Although the exact etiology of PD remains elusive, growing evidence suggests a complex interplay of genetic, environmental, and lifestyle factors in its development. Despite advances in pharmacological interventions, current treatments primarily focus on managing symptoms rather than altering the disease's underlying course. In recent years, natural phytocompounds have emerged as a promising avenue for PD management. Phytochemicals derived from plants, such as phenolic acids, flavones, phenols, flavonoids, polyphenols, saponins, terpenes, alkaloids, and amino acids, have been extensively studied for their potential neuroprotective effects. These bioactive compounds possess a wide range of therapeutic properties, including antioxidant, anti-inflammatory, anti-apoptotic, and anti-aggregation activities, which may counteract the neurodegenerative processes in PD. This comprehensive review delves into the pathophysiology of PD, with a specific focus on the roles of oxidative stress, mitochondrial dysfunction, and protein malfunction in disease pathogenesis. The review collates a wealth of evidence from preclinical studies and in vitro experiments, highlighting the potential of various phytochemicals in attenuating dopaminergic neuron degeneration, reducing α-synuclein aggregation, and modulating neuroinflammatory responses. Prominent among the natural compounds studied are curcumin, resveratrol, coenzyme Q10, and omega-3 fatty acids, which have demonstrated neuroprotective effects in experimental models of PD. Additionally, flavonoids like baicalein, luteolin, quercetin, and nobiletin, and alkaloids such as berberine and physostigmine, show promise in mitigating PD-associated pathologies. This review emphasizes the need for further research through controlled clinical trials to establish the safety and efficacy of these natural compounds in PD management. Although preclinical evidence is compelling, the translation of these findings into effective therapies for PD necessitates robust clinical investigation. Rigorous evaluation of pharmacokinetics, bioavailability, and potential drug interactions is imperative to pave the way for evidence-based treatment strategies. With the rising interest in natural alternatives and the potential for synergistic effects with conventional therapies, this review serves as a comprehensive resource for pharmaceutical industries, researchers, and clinicians seeking novel therapeutic approaches to combat PD. Harnessing the therapeutic potential of these natural phytocompounds may hold the key to improving the quality of life for PD patients and moving towards disease-modifying therapies in the future.

Mitochondrial dysfunction and oxidative stress in Alzheimer's disease, and Parkinson's disease, Huntington's disease and Amyotrophic Lateral Sclerosis -An updated review.

Misfolded proteins in the central nervous system can induce oxidative damage, which can contribute to neurodegenerative diseases in the mitochondria. Neurodegenerative patients face early mitochondrial dysfunction, impacting energy utilization. Amyloid-ß and tau problems both have an effect on mitochondria, which leads to mitochondrial malfunction and, ultimately, the onset of Alzheimer's disease. Cellular oxygen interaction yields reactive oxygen species within mitochondria, initiating oxidative damage to mitochondrial constituents. Parkinson's disease, linked to oxidative stress, α-synuclein aggregation, and inflammation, results from reduced brain mitochondria activity. Mitochondrial dynamics profoundly influence cellular apoptosis via distinct causative mechanisms. The condition known as Huntington's disease is characterized by an expansion of polyglutamine, primarily impactingthe cerebral cortex and striatum. Research has identified mitochondrial failure as an early pathogenic mechanism contributing to HD's selective neurodegeneration. The mitochondria are organelles that exhibit dynamism by undergoing fragmentation and fusion processes to attain optimal bioenergetic efficiency. They can also be transported along microtubules and regulateintracellular calcium homeostasis through their interaction with the endoplasmic reticulum. Additionally, the mitochondria produce free radicals. The functions of eukaryotic cells, particularly in neurons, have significantly deviated from the traditionally assigned role of cellular energy production. Most of them areimpaired in HD, which may lead to neuronal dysfunction before symptoms manifest. This article summarizes the most important changes in mitochondrial dynamics that come from neurodegenerative diseases including Alzheimer's, Parkinson's, Huntington's and Amyotrophic Lateral Sclerosis. Finally, we discussed about novel techniques that can potentially treat mitochondrial malfunction and oxidative stress in four most dominating neuro disorders.

An Insight into Codon Pattern Analysis of Autophagy Genes Associated with Virus Infection.

INTRODUCTION: Apoptosis and autophagy are the two fundamental processes involved in maintaining homeostasis, and a common stimulus may initiate the processes. Autophagy has been implicated in various diseases, including viral infections. Genetic manipulations leading to altered gene expression might be a strategy to check virus infection. AIM: Determination of molecular patterns, relative synonymous codon usage, codon preference, codon bias, codon pair bias, and rare codons so that genetic manipulation of autophagy genes may be done to curb viral infection. METHODS: Using various software, algorithms, and statistical analysis, insights into codon patterns were obtained. A total of 41 autophagy genes were envisaged as they are involved in virus infection. RESULTS: The A/T and G/C ending codons are preferred by different genes. AAA-GAA and CAG-CTG codon pairs are the most abundant codon pairs. CGA, TCG, CCG, and GCG are rarely used codons. CONCLUSION: The information generated in the present study helps manipulate the gene expression level of virus infection-associated autophagy genes through gene modification tools like CRISPR. Codon deoptimization for reducing while codon pair optimization for enhancing is efficacious for HO-1 gene expression.

5-Fluorouracil-Loaded PLGA Nanoparticles: Formulation, Physicochemical Characterisation, and In VitroAnti-Cancer Activity.

The major goal of this investigation was to prepare a drug delivery of polymeric nanoparticles (NPs) from 5-fluorouracil (FU) that could be delivered intravenously and improve the therapeutic index of the FU. In order to achieve this, interfacial deposition method was used to prepare FU entrapped poly-(lactic-co-glycolic acid) nanoparticles (FU-PLGA-NPs). The influence of various experimental settings on the effectiveness of FU integration into the NPs was assessed. Our findings show that the technique used to prepare the organic phase and the ratio of the organic phase to the aqueous phase had the greatest impact on the effectiveness of FU integration into NPs. The results show that the preparation process produced spherical, homogenous, negatively charged particles with a nanometric size of 200 nm that are acceptable for intravenous delivery. A quick initial release over 24 h and then slow and steady release of FU from the formed NPs, exhibiting a biphasic pattern. Through the human small cell lung cancer cell line (NCI-H69), the in vitro anti-cancer potential of the FU-PLGA-NPs was evaluated. It was then associated to the in vitro anti-cancer potential of the marketed formulation Fluracil®. Investigations were also conducted into Cremophor-EL (Cre-EL) potential activity on live cells. The viability of NCI-H69 cells was drastically reduced when they were exposed to 50 µg·mL-1 Fluracil®. Our findings show that the integration of FU in NPs significantly increases the drug cytotoxic effect in comparison to Fluracil®, with this potential effect being particularly important for extended incubation durations.

Public Perception towards Vaccines as Preventive Measures against a Twindemic (Seasonal Influenza and COVID-19): A Cross-Sectional Study from the Aseer Region, Saudi Arabia.

This study aimed to evaluate Saudi Arabian public perceptions toward influenza and COVID-19 immunization during the flu season. A cross-sectional self-administered, structured, and closed-questionnaire online survey was conducted on the general public. A total of 422 people willingly participated in the survey using several social media platforms from 15 May to 15 July 2021. Residents of Saudi Arabia aged 18 or older (eligible for COVID-19 vaccination) were included in the study and willing to answer questionnaires. The 422 participants who agreed to participate in the study completed the questionnaire. Thirty-seven percent of the participants were youth (18-25 years). More than 80% of the participants in the study agreed or strongly agreed that flu and COVID-19 vaccines must be mandatory for all populations. At the same time, 42.4% considered that the COVID-19 vaccine might positively impact the public and the economy in the future. Participants confirmed to have had COVID-19 or the flu since the beginning of the outbreak totaled 21.3%. Of the participants, 54% had sufficient knowledge about vaccine types and safety. Most of our participants (54.9%) agreed that preventive measures were still required, even with the existence of vaccines. Our study provides an overview of COVID-19's influence on Saudi Arabia during the flu season. The Saudi Arabian government should consider preventive efforts to strengthen confidence in the health advantages offered by prospective immunization to prevent a twindemic of influenza and COVID-19.

Design, Physical Characterizations, and Biocompatibility of Cationic Solid Lipid Nanoparticles in HCT-116 and 16-HBE Cells: A Preliminary Study.

In this study, pEGFP-LUC was used as a model plasmid and three distinct cationic lipids (dioleyloxy-propyl-trimethylammonium chloride [DOTMA], dioleoyl trimethylammonium propane [DOTAP], and cetylpyridinium chloride [CPC]) were tested along with PEG 5000, as a nonionic surfactant, to prepare glyceryl monostearate (GMS)-based cationic solid lipid nanoparticles (cSLNs). Both the type and quantity of surfactant had an impact on the physicochemical characteristics of the cSLNs. Thermal analysis of the greater part of the endothermic peaks of the cSLNs revealed they were noticeably different from the individual pure compounds based on their zeta potential (ZP ranging from +17 to +56 mV) and particle size (PS ranging from 185 to 244 nm). The addition of cationic surfactants was required to produce nanoparticles (NPs) with a positive surface charge. This suggested that the surfactants and extensive entanglement of the lipid matrix GMS provided support for the behavioral diversity of the cSLNs and their capacity to interface with the plasmid DNA. Additionally, hemolytic assays were used to show that the cSLNs were biocompatible with the human colon cancer HCT-116 and human bronchial epithelial 16-HBE cell lines. The DOTMA 6-based cSLN was selected as the lead cSLN for further ex vivo and in vivo investigations. Taken together, these new findings might provide some guidance in selecting surfactants to prepare extremely efficient and non-toxic cSLN-based therapeutic delivery systems (e.g., gene therapy).

Co-delivery of amphotericin B and pentamidine loaded niosomal gel for the treatment of Cutaneous leishmaniasis.

Topical drug delivery is preferable route over systemic delivery in case of Cutaneous leishmaniasis (CL). Among the available agents, amphotericin B (AmB) and pentamidine (PTM) showed promising result against CL. However, monotherapy is associated with incidences of reoccurrence and resistance. Combination therapy is therefore recommended. Thin film hydration method was employed for amphotericin B-pentamidine loaded niosomes (AmB-PTM-NIO) preparation followed by their incorporation into chitosan gel. The optimization of AmB-PTM-NIO was done via Box Behnken Design method and in vitro and ex vivo analysis was performed. The optimized formulation indicated 226 nm particle size (PS) with spherical morphology, 0.173 polydispersity index (PDI), -36 mV zeta potential (ZP) and with entrapment efficiency (EE) of 91% (AmB) and 79% (PTM), respectively. The amphotericin B-pentamidine loaded niosomal gel (AmB-PTM-NIO-Gel) showed desirable characteristics including physicochemical properties, pH (5.1 ± 0.15), viscosity (31870 ± 25 cP), and gel spreadability (280 ± 26.46%). In vitro release of the AmB and PTM from AmB-PTM-NIO and AmB-PTM-NIO-Gel showed more prolonged release behavior as compared to their respective drug solution. Higher skin penetration, greater percentage inhibition and lower IC50 against the promastigotes shows that AmB-PTM-NIO has better antileishmanial activity. The obtained findings suggested that the developed AmB-PTM-NIO-Gel has excellent capability of permeation via skin layers, sustained release profile and augmented anti-leishmanial outcome of the incorporated drugs.

Enhancing plant-derived smart nano inhibitor in targeting mammalian target of rapamycin (mTOR) in breast cancer using Curcuma longa-derived compound curcumin.

Breast cancer is a diverse female malignancy; its classification is based on clinical evidence and pathological elucidation. Large public drug screening data databases combined with transcriptome measures have helped develop predictive computational models. Breast cancer is frequent among women worldwide. Several genes increase breast cancer risk. The Mammalian Target of Rapamycin (popularly known as mTOR) is a risk factor mutated in numerous breast carcinoma types. This has caught the scientific community's focus, which is attempting to generate creative, potent, and bio-available ligands for future anti-cancer treatments to establish a practical therapeutic approach. mTOR is a protein kinase involved in cell proliferation, survival, metabolism, and immune response. Activating mTOR promotes cancer growth and spread. To generate a bioavailable and effective mTOR inhibitor, we used computer-aided drug design to study chromones and flavonoids, two naturally occurring chemicals with many biological activities. We used Curcuma longaderived tiny nano-molecules, which can be coated using liposomes to target mTOR to prevent breast cancer growth. The significant interactions of Curcumin were anticipated using molecular docking. It had the highest binding affinity at -12.26 kcal/mol. 100 nanoseconds of molecular dynamic modelling confirmed Curcumin and mTOR receptor interaction. Liposomes are a form of medicine carrier. To improve healthcare, more liposome-like nanostructures are being made. Nanostructures' interactions with living creatures are being studied. Half-life, tissue accumulation, and toxicity have been studied. Future medication distribution may use nanocarriers having a liposome-like form, enabling targeted nano-delivery. Curcumin's interaction with the active site increased the complex's structural stability during its expansion. Our results may help future investigations of Curcumin's efficacy as a possible lead treatment targeting mTOR receptors in breast cancer. Using Curcumin as a potential anti-cancer drug with lipid-coated nano-particles allows for tailored administration.

Attitudes and knowledge about contraceptive use of saudi married women: a cross-sectional study approach

The speedy change in the Saudi Arabian community's socio-demographic pattern will significantly influence reproductive attitudes and practices with increasing preferences toward family planning because of the use of contraceptives. The current study was conducted to determine the attitudes and knowledge of married women in the Aseer region of Saudi Arabia regarding contraceptives use. Saudi married women from the Aseer region were the participants of this cross-sectional study. The study's objectives were covered via a standardized questionnaire, and the study comprised of 412 married women. A 100 % participant's response was demonstrated, while 31.8 % of the respondents were 31-40 years old. Most of the participants have a great awareness and knowledge about contraceptives, while (n=324; 78.6%) had previously used contraceptives. Additionally, 297 (72.1%) have intention to use contraceptive methods in the future. Majority of the participants (n=297; 91.6%) considered the economic and family planning as a reason for using the contraceptives, while natural family planning was mostly preferred (n=202; 49%). Logistic regression analysis exhibited significant correlation between the age, education, employment, monthly income and children number. The findings show that Saudi married women have high perceptions and knowledge of contraception. However, more effort is required to raise awareness regarding family planning and contraceptives, whereas the policy makers must exclude the obstacles to women from using contraceptives.

Nanotechnological synergy of mangiferin and curcumin in modulating PI3K/Akt/mTOR pathway: a novel front in ovarian cancer precision therapeutics.

Background: Ovarian cancer, colloquially termed the "silent killer" among gynecological malignancies, remains elusive due to its often-asymptomatic progression and diagnostic challenges. Central to its pathogenesis is the overactive PI3K/Akt/mTOR signaling pathway, responsible for various cellular functions, from proliferation to survival. Within this context, the phytochemical compounds mangiferin (derived from Mangifera indica) and curcumin (from Curcuma longa) stand out for their potential modulatory effects. However, their inherent bioavailability challenges necessitate innovative delivery systems to maximize therapeutic benefits. Objective: This study seeks to synergize the merits of nanotechnology with the therapeutic properties of mangiferin and curcumin, aiming to bolster their efficacy against ovarian cancer. Methods: Employing specific nanotechnological principles, we engineered exosomal and liposomal nano-carriers for mangiferin and curcumin, targeting the PI3K/Akt/mTOR pathway. Molecular docking techniques mapped the interactions of these phytochemicals with key proteins in the pathway, analyzing their binding efficiencies. Furthermore, molecular dynamics simulations, spanning 100 nanoseconds, verified these interactions, with additional computational methodologies further validating our findings. The rationale for the 100 nanoseconds time span lies in its sufficiency to observe meaningful protein-ligand interactions and conformational changes. Notably, liposomal technology provided an enhancement in drug delivery by protecting these compounds from degradation, allowing controlled release, and improving cellular uptake. Results: Our computational investigations demonstrated notable binding affinities of mangiferin and curcumin: PI3K at -11.20 kcal/mol, Akt at -15.16 kcal/mol, and mTOR at -10.24 kcal/mol. The adoption of exosome/liposome-mediated delivery significantly amplified the bioavailability and cellular uptake of these nano-formulated compounds, positioning them as potential stalwarts in ovarian cancer intervention. A brief explanation of exosome/liposome-mediated delivery involves the use of these vesicles to encapsulate and transport therapeutic agents directly to the target cells, enhancing drug delivery efficiency and minimizing side effects. Conclusion: Addressing ovarian cancer's intricacies, dominated by the erratic PI3K/Akt/mTOR signaling, mandates innovative therapeutic strategies. Our pioneering approach converges nanotechnological liposomal delivery with mangiferin and curcumin's natural efficacies. This confluence, validated by computational insights, heralds a paradigm shift in ovarian cancer treatment. As our findings underscore the collaborative potential of these phytochemicals, it beckons further exploration in translational studies and clinical applications, ensuring the best intersection of nature and technology for therapeutic advantage.