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OBJECTIVE: The main purpose of the present study was to evaluate the therapeutic efficacy of Aloe vera-coated curcumin encapsulated nanoparticles in mitigating Alzheimer's disease progression in mice, by examining behavioural changes, biochemical markers, and histopathological alterations, thus elucidating its potential as a treatment strategy. METHODS: The green synthesis method was used to synthesise this nanoformulation, which was then characterised using a variety of techniques, including percentage encapsulation efficacy, UV-visible spectroscopy, DLS, FT-IR, FESEM, and EDX. Several in-vivo assessments, including behavioural evaluations, dose optimisation studies, oxidative stress marker estimation, and histological studies, were conducted to determine the potential therapeutic impact of nanoformulation on the Alzheimer-induced mice model. RESULTS: The synthesised nanoparticles show a mean diameter of 76.12 nm ±1.23, a PDI of 0.313 ± 0.02, a zeta potential of 6.27 ± 0.65 mV, and the percentage encapsulation efficiency between 90% and 95% indicating good stability of synthesised nanoformulation. With the help of Morris water maze, Y-maze, and novel object recognition assay, the learning capacity and memory were assessed, and the results show that the synthesised nanoformulation significantly decreased the transfer latency to reach baited arm or to the hidden platform within 7 days. CONCLUSION: The formulation demonstrated significant biochemical benefits and remarkable cognitive advantages, establishing it as a prospective therapeutic intervention option that is both safe and effective.

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INTRODUCTION: Pharmacokinetic parameters assessment is a critical aspect of drug discovery and development, yet challenges persist due to limited training data. Despite advancements in machine learning and in-silico predictions, scarcity of data hampers accurate prediction of drug candidates' pharmacokinetic properties. AREAS COVERED: The study highlights current developments in human pharmacokinetic prediction, talks about attempts to apply synthetic approaches for molecular design, and searches several databases, including Scopus, PubMed, Web of Science, and Google Scholar. The article stresses importance of rigorous analysis of machine learning model performance in assessing progress and explores molecular modeling (MM) techniques, descriptors, and mathematical approaches. Transitioning to clinical drug development, article highlights AI (Artificial Intelligence) based computer models optimizing trial design, patient selection, dosing strategies, and biomarker identification. In-silico models, including molecular interactomes and virtual patients, predict drug performance across diverse profiles, underlining the need to align model results with clinical studies for reliability. Specialized training for human specialists in navigating predictive models is deemed critical. Pharmacogenomics, integral to personalized medicine, utilizes predictive modeling to anticipate patient responses, contributing to more efficient healthcare system. Challenges in realizing potential of predictive modeling, including ethical considerations and data privacy concerns, are acknowledged. EXPERT OPINION: AI models are crucial in drug development, optimizing trials, patient selection, dosing, and biomarker identification and hold promise for streamlining clinical investigations.

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ETHNOPHARMACOLOGICAL RELEVANCE: Tinospora cordifolia (T. cordifolia) (Willd.) Miers, a member of the Menispermaceae, family documented in the ancient textbooks of the Ayurveda System of Medicine, has been used in the management of sciatica pain and diabetic neuropathy. AIM: The study has been designed to evaluate the antinociceptive potential of various extracts of T. cordifolia stem in Paclitaxel (PT)-generated neuropathic pain model in albino rats and explore its possible mechanism employing molecular docking studies. METHODS: Stems of T. cordifolia were shade dried, grinded in fine powder, and extracted separately with different solvents viz. ethanol, water & hydro-alcoholic and characterized using LCMS/MS. The antinociceptive property of T. cordifolia stem (200 and 400 mg/kg) was examined in albino rats using a PT-induced neuropathic pain model. Further, the effect of these extracts was also observed using different behavioral assays viz. cold allodynia, mechanical hyperalgesia (pin-prick test), locomotor activity test, walking track test, and Sciatic Functional Index (SFI) in rats. Tissue lysate of the sciatic nerve was used to determine various biochemical markers such as GSH, SOD, TBARS, tissue protein, and nitrite. Further to explore the possible mechanism of action, the most abundant and therapeutically active compounds available in aqueous extract were analyzed for binding affinity towards soluble epoxide hydrolase (sEH) enzyme (PDB ID: 3wk4) employing molecular docking studies. RESULTS: The results of the LCMS/MS study of different extracts of T. cordifolia indicated presence of alkaloids, glycosides, terpenoids, sterols and sugars such as amritoside A, tinocordin, magnoflorine, N-methylcoclaurine, coridine, 20ß-hydroxyecdysone and menaquinone-7 palmatin, cordifolioside A and tinosporine etc. Among all the three extracts, the hydroalcoholic extract (400 mg/kg) showed the highest response followed by aqueous and ethanolic extracts as evident in in vivo behavioral and biochemical evaluations. Furthermore, docking studies also exposed that these compounds viz. N-methylcoclaurine tinosporin, palmatine, tinocordin, 20ß-hydroxyecdysone, and coridine exhibited well to excellent affinity towards target sEH protein. CONCLUSION: T. cordifolia stem could alleviate neuropathic pain via soluble epoxide hydrolase inhibitory activity.

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The glucokinase regulator (GCKR) gene encodes an inhibitor of the glucokinase enzyme (GCK), found only in hepatocytes and responsible for glucose metabolism. A common GCKR coding variation has been linked to various metabolic traits in genome-wide association studies. Rare GCKR polymorphisms influence GKRP activity, expression, and localization. Despite not being the cause, these variations are linked to hypertriglyceridemia. Because of their crystal structures, we now better understand the molecular interactions between GKRP and the GCK. Finally, small molecules that specifically bind to GKRP and decrease blood sugar levels in diabetic models have been identified. GCKR allelic spectrum changes affect lipid and glucose homeostasis. GKRP dysfunction has been linked to a variety of molecular causes, according to functional analysis. Numerous studies have shown that GKRP dysfunction is not the only cause of hypertriglyceridemia, implying that type 2 diabetes could be treated by activating liver-specific GCK via small molecule GKRP inhibition. The review emphasizes current discoveries concerning the characteristic roles of glucokinase and GKRP in hepatic glucose metabolism and diabetes. This information has influenced the growth of directed molecular therapies for diabetes, which has improved our understanding of lipid and glucose physiology.

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Curcumin, a natural polyphenol, derived from Curcuma longa L. is extensively studied by various researchers across the globe and has established its immense potential in the management of several disorders at clinical level. The underlying mechanism of curcumin involves regulation of various molecular targets, namely, inflammatory cytokines, transcription factor, apoptotic genes, growth factors, oxidative stress biomarkers, and protein kinases. In clinical trials, curcumin as an adjuvant has significantly boost-up the efficacy of many proven drugs in the management of arthritis, neurodegenerative disorder, oral infection, and gastrointestinal disorders. Moreover, clinical studies have suggested curcumin as an appropriate candidate for the prevention and/or management of various cancers via regulation of signaling molecules including NF-kB, cytokines, C-reactive protein, prostaglandin E2, Nrf2, HO-1, ALT, AST, kinases, and blood profiles. This article highlights plethora of clinical trials that have been conducted on curcumin and its derivatives in the management of several ailments. Besides, it provides recent updates to the investigators for conducting future research to fulfill the current gaps to expedite the curcumin utility in clinical subjects bearing different pathological states.

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