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Scientific Reports Jul 2022These days, many efforts have been made to increase and develop the solubility and bioavailability of novel therapeutic medicines. One of the most believable approaches...
These days, many efforts have been made to increase and develop the solubility and bioavailability of novel therapeutic medicines. One of the most believable approaches is the operation of supercritical carbon dioxide fluid (SC-CO). This operation has been used as a unique method in pharmacology due to the brilliant positive points such as colorless nature, cost-effectives, and environmentally friendly. This research project is aimed to mathematically calculate the solubility of Oxaprozin in SC-CO through artificial intelligence. Oxaprozin is a nonsteroidal anti-inflammatory drug which is useful in arthritis disease to improve swelling and pain. Oxaprozin is a type of BCS class II (Biopharmaceutical Classification) drug with low solubility and bioavailability. Here in order to optimize and improve the solubility of Oxaprozin, three ensemble decision tree-based models including random forest (RF), Extremely random trees (ET), and gradient boosting (GB) are considered. 32 data vectors are used for this modeling, moreover, temperature and pressure as inputs, and drug solubility as output. Using the MSE metric, ET, RF, and GB illustrated error rates of 6.29E-09, 9.71E-09, and 3.78E-11. Then, using the R-squared metric, they demonstrated results including 0.999, 0.984, and 0.999, respectively. GB is selected as the best fitted model with the optimal values including 33.15 (K) for the temperature, 380.4 (bar) for the pressure and 0.001242 (mole fraction) as optimized value for the solubility.
Topics: Anti-Inflammatory Agents, Non-Steroidal; Artificial Intelligence; Carbon Dioxide; Oxaprozin; Propionates; Solubility
PubMed: 35907929
DOI: 10.1038/s41598-022-17350-5 -
Scientific Reports Jul 2022Accurate specification of the drugs' solubility is known as an important activity to appropriately manage the supercritical impregnation process. Over the last decades,...
Accurate specification of the drugs' solubility is known as an important activity to appropriately manage the supercritical impregnation process. Over the last decades, the application of supercritical fluids (SCFs), mainly CO, has found great interest as a promising solution to dominate the limitations of traditional methods including high toxicity, difficulty of control, high expense and low stability. Oxaprozin is an efficient off-patent nonsteroidal anti-inflammatory drug (NSAID), which is being extensively used for the pain management of patients suffering from chronic musculoskeletal disorders such as rheumatoid arthritis. In this paper, the prominent purpose of the authors is to predict and consequently optimize the solubility of Oxaprozin inside the COSCF. To do this, the authors employed two basic models and improved them with the Adaboost ensemble method. The base models include Gaussian process regression (GPR) and decision tree (DT). We optimized and evaluated the hyper-parameters of them using standard metrics. Boosted DT has an MAE error rate, an R2-score, and an MAPE of 6.806E-05, 0.980, and 4.511E-01, respectively. Also, boosted GPR has an R2-score of 0.998 and its MAPE error is 3.929E-02, and with MAE it has an error rate of 5.024E-06. So, boosted GPR was chosen as the best model, and the best values were: (T = 3.38E + 02, P = 4.0E + 02, Solubility = 0.001241).
Topics: Anti-Inflammatory Agents, Non-Steroidal; Humans; Machine Learning; Oxaprozin; Propionates; Solubility
PubMed: 35908085
DOI: 10.1038/s41598-022-17440-4 -
Clinical and Experimental Nephrology Mar 2020Dotinurad is a novel, selective urate reabsorption inhibitor, which reduces serum uric acid levels by inhibiting the urate transporter 1. The results of nonclinical... (Clinical Trial)
Clinical Trial
BACKGROUND
Dotinurad is a novel, selective urate reabsorption inhibitor, which reduces serum uric acid levels by inhibiting the urate transporter 1. The results of nonclinical studies indicated the possibility that the concomitant use of the non-steroidal anti-inflammatory drug oxaprozin affects the pharmacokinetics of dotinurad. We evaluated drug-drug interactions with respect to the pharmacokinetics and safety of dotinurad when co-administered with oxaprozin.
METHODS
This was an open-label, two-period, add-on study in healthy adult males. For a single dose of 4 mg of dotinurad with and without oxaprozin, we compared its pharmacokinetic parameters and evaluated safety.
RESULTS
This study enrolled 12 subjects, 11 of whom completed the study. The geometric mean ratio (90% confidence interval [CI]) of the urinary excretion rate of glucuronate conjugates of dotinurad after co-administration with oxaprozin compared to administration of dotinurad alone was 0.657 (0.624-0.692), while the geometric mean ratios (90% CIs) of the maximum plasma concentration and area under the plasma concentration-time curve from time zero to infinity (AUC) were 0.982 (0.945-1.021) and 1.165 (1.114-1.219), respectively. During the study, two adverse events occurred after administration of dotinurad alone and one occurred after administration of oxaprozin alone.
CONCLUSIONS
In comparison with administration of dotinurad alone, co-administration with oxaprozin was associated with a 34.3% decrease in the urinary excretion rate of the glucuronate conjugates of dotinurad, and a 16.5% increase in AUC of dotinurad. However, no clinically meaningful drug-drug interactions were observed. Administration of dotinurad alone was similar safety to co-administration with oxaprozin.
CLINICAL TRIAL REGISTRATION
ClinicalTrials.gov Identifier: NCT03350386.
Topics: Adult; Anti-Inflammatory Agents, Non-Steroidal; Benzothiazoles; Drug Interactions; Glucuronides; Humans; Japan; Male; Oxaprozin; Sulfates; Uricosuric Agents
PubMed: 32076889
DOI: 10.1007/s10157-020-01855-2 -
Bioinformation 2022Epilepsy is one of the most common neurological disorders, affecting millions of patients with a substantial economic and human burden. About 30-40% of epileptic...
Epilepsy is one of the most common neurological disorders, affecting millions of patients with a substantial economic and human burden. About 30-40% of epileptic patients remain un-treated after the therapeutic option. Genetic or idiopathic epilepsy count about 40% of total epilepsy patients, showing a maximum percentage for drug-resistant epilepsy. Since the last century basic approach to understanding disease progression and drug discovery has been through the prism, exploring all possible causes and treatment options. Here we report about the gene expression-based drug repositioning study for epilepsy. Epilepsy gene expression data was retrieved from the Gene Expression Omnibus database, while drugs-associated gene expression data was retrieved from the Connectivity map (CMAP). The study predicted309 drug compounds which can alter genetic epilepsy-mediated gene signature using an in-house developed R-script. These compounds were docked against identified epilepsy targets- Voltage-gated sodium channel subunit α2 (Nav1.2); GABA receptor α1-β1; and Voltage-gated calcium channel α1G (Cav3.1)using Carbamazepine, Clonazepam, and Pregabalin as standard drugs, respectively. Twenty-one predicted drug compounds showed better binding affinity than respective standards against the selected epileptic receptors. Among these drug compounds, Ergocalciferol, Oxaprozin, Flunarizine, Triprolidine and Cyproheptadine have been previously reported for anti-epileptic activities and can be potential hits to target idiopathic epilepsy.
PubMed: 37654844
DOI: 10.6026/97320630018845 -
Molecules (Basel, Switzerland) Sep 2022Over the last years, extensive motivation has emerged towards the application of supercritical carbon dioxide (SCCO) for particle engineering. SCCO has great potential...
Over the last years, extensive motivation has emerged towards the application of supercritical carbon dioxide (SCCO) for particle engineering. SCCO has great potential for application as a green and eco-friendly technique to reach small crystalline particles with narrow particle size distribution. In this paper, an artificial intelligence (AI) method has been used as an efficient and versatile tool to predict and consequently optimize the solubility of oxaprozin in SCCO systems. Three learning methods, including multi-layer perceptron (MLP), Kriging or Gaussian process regression (GPR), and k-nearest neighbors (KNN) are selected to make models on the tiny dataset. The dataset includes 32 data points with two input parameters (temperature and pressure) and one output (solubility). The optimized models were tested with standard metrics. MLP, GPR, and KNN have error rates of 2.079 × 10, 2.173 × 10, and 1.372 × 10, respectively, using MSE metrics. Additionally, in terms of R-squared, they have scores of 0.868, 0.997, and 0.999, respectively. The optimal inputs are the same as the maximum possible values and are paired with a solubility of 1.26 × 10 as an output.
Topics: Artificial Intelligence; Carbon Dioxide; Machine Learning; Oxaprozin; Solubility
PubMed: 36144490
DOI: 10.3390/molecules27185762 -
International Journal of Molecular... Sep 2022Fatty acid mimetics (FAM) are bioactive molecules acting through the binding sites of endogenous fatty acid metabolites on enzymes, transporters, and receptors. Due to...
Fatty acid mimetics (FAM) are bioactive molecules acting through the binding sites of endogenous fatty acid metabolites on enzymes, transporters, and receptors. Due to the special characteristics of these binding sites, FAMs share common chemical features. Pharmacological modulation of fatty acid signaling has therapeutic potential in multiple pathologies, and several FAMs have been developed as drugs. We aimed to elucidate the promiscuity of FAM drugs on lipid-activated transcription factors and tested 64 approved compounds for activation of RAR, PPARs, VDR, LXR, FXR, and RXR. The activity screening revealed nuclear receptor agonism of several FAM drugs and considerable promiscuity of NSAIDs, while other compound classes evolved as selective. These screening results were not anticipated by three well-established target prediction tools, suggesting that FAMs are underrepresented in bioactivity data for model development. The screening dataset may therefore valuably contribute to such tools. Oxaprozin (RXR), tianeptine (PPARδ), mycophenolic acid (RAR), and bortezomib (RAR) exhibited selective agonism on one nuclear receptor and emerged as attractive leads for the selective optimization of side activities. Additionally, their nuclear receptor agonism may contribute relevant and valuable polypharmacology.
Topics: Fatty Acids; PPAR delta; Receptors, Cytoplasmic and Nuclear; Retinoid X Receptors; Signal Transduction; Transcription Factors
PubMed: 36077469
DOI: 10.3390/ijms231710070 -
Romanian Journal of Morphology and... 2020This paper reports the synthesis, analgesic activity, acute toxicity and histopathological (HP) assessment of four new compounds from oxazol-5(4H)-ones class that...
This paper reports the synthesis, analgesic activity, acute toxicity and histopathological (HP) assessment of four new compounds from oxazol-5(4H)-ones class that contain in their molecule a diarylsulfone moiety. The new 2-(4-(4-bromophenylsulfonyl)phenyl)-4-arylidene-oxazol-5(4H)-ones were obtained by reaction of 2-(4-(4-bromophenyl-sulfonyl)benzamido)acetic acid intermediate with aromatic aldehydes (benzaldehyde, 4-methoxy, 4-nitro or 4-bromobenzaldehyde), in acetic anhydride and in the presence of anhydrous sodium acetate. The new compounds have been characterized by spectral techniques, such as: Fourier-transform infrared spectroscopy (FT-IR), mass spectrometry (MS), proton nuclear magnetic resonance (1H-NMR) and by elemental analysis. The acute toxicity of the new oxazol-5(4H)-ones in mice was assessed through "acute toxic class" method, according to Organization for Economic Co-operation and Development (OECD) Guidelines. The HP assessment of some preserved organs collected from mice has been performed. The analgesic activity of all new synthesized compounds was carried out with two pharmacological tests: the writhing test and the hot plate test. In order to predict the binding affinities of the synthesized oxazol-5(4H)-ones derivatives against molecular targets involved in pain and inflammation, molecular docking simulations were performed. The results of the writhing test indicated that the most active compound was the oxazolone that contains in the molecule a methoxy group. The acute oral toxicity study revealed no lethal effect of new compounds. The HP assessment of the preserved organs collected from mice did not indicate any cytohistopathological aspects that can be linked to any inflammatory, neoplastic or cytotoxic process, demonstrating the low toxicity of new compounds.
Topics: Analgesics; Animals; Female; Humans; Mice; Oxaprozin
PubMed: 33544801
DOI: 10.47162/RJME.61.2.19 -
International Journal of Molecular... Sep 2020The crucial role of extracellular proteases in cancer progression is well-known, especially in relation to the promotion of cell invasion through extracellular matrix... (Review)
Review
The crucial role of extracellular proteases in cancer progression is well-known, especially in relation to the promotion of cell invasion through extracellular matrix remodeling. This also occurs by the ability of extracellular proteases to induce the shedding of transmembrane proteins at the plasma membrane surface or within extracellular vesicles. This process results in the regulation of key signaling pathways by the modulation of kinases, e.g., the epidermal growth factor receptor (EGFR). Considering their regulatory roles in cancer, therapeutics targeting various extracellular proteases have been discovered. These include the metal-binding agents di-2-pyridylketone 4,4-dimethyl-3-thiosemicarbazone (Dp44mT) and di-2-pyridylketone-4-cyclohexyl-4-methyl-3-thiosemicarbazone (DpC), which increase c-MET degradation by multiple mechanisms. Both the direct and indirect inhibition of protease expression and activity can be achieved through metal ion depletion. Considering direct mechanisms, chelators can bind zinc(II) that plays a catalytic role in enzyme activity. In terms of indirect mechanisms, Dp44mT and DpC potently suppress the expression of the kallikrein-related peptidase-a prostate-specific antigen-in prostate cancer cells. The mechanism of this activity involves promotion of the degradation of the androgen receptor. Additional suppressive mechanisms of Dp44mT and DpC on matrix metalloproteases (MMPs) relate to their ability to up-regulate the metastasis suppressors N-myc downstream regulated gene-1 (NDRG1) and NDRG2, which down-regulate MMPs that are crucial for cancer cell invasion.
Topics: Antineoplastic Agents; Cell Line, Tumor; Cell Transformation, Neoplastic; Chelating Agents; Disease Progression; Drug Design; Drug Screening Assays, Antitumor; Extracellular Fluid; Extracellular Vesicles; Humans; Hydroxamic Acids; Iron; Iron Chelating Agents; Kallikreins; Matrix Metalloproteinases; Molecular Targeted Therapy; Neoplasm Proteins; Oxaprozin; Peptide Hydrolases; Phenylalanine; Protease Inhibitors; Protein Kinases; Pyridines; Thiophenes; Thiosemicarbazones; Zinc
PubMed: 32948029
DOI: 10.3390/ijms21186805 -
Biomedicines Jun 2021SZV 1287 (3-(4,5-diphenyl-1,3-oxazol-2-yl)propanal oxime) is a novel multi-target candidate under preclinical development for neuropathic pain. It inhibits amine oxidase...
Proof-of-Concept for the Analgesic Effect and Thermoregulatory Safety of Orally Administered Multi-Target Compound SZV 1287 in Mice: A Novel Drug Candidate for Neuropathic Pain.
SZV 1287 (3-(4,5-diphenyl-1,3-oxazol-2-yl)propanal oxime) is a novel multi-target candidate under preclinical development for neuropathic pain. It inhibits amine oxidase copper containing 3, transient receptor potential ankyrin 1 and vanilloid 1 (TRPV1) receptors. Mainly under acidic conditions, it is transformed to the cyclooxygenase inhibitor oxaprozin, which is ineffective for neuropathy. Therefore, an enterosolvent capsule is suggested for oral formulation, which we investigated for nociception, basic kinetics, and thermoregulatory safety in mice. The antihyperalgesic effect of SZV 1287 (10, 20, 50, and 200 mg/kg, p.o.) was determined in partial sciatic nerve ligation-induced traumatic neuropathy by aesthesiometry, brain and plasma concentrations by HPLC, and deep body temperature by thermometry. Its effect on proton-induced TRPV1 activation involved in thermoregulation was assessed by microfluorimetry in cultured trigeminal neurons. The three higher SZV 1287 doses significantly, but not dose-dependently, reduced neuropathic hyperalgesia by 50% of its maximal effect. It was quickly absorbed; plasma concentration was stable for 2 h, and it entered into the brain. Although SZV 1287 significantly decreased the proton-induced TRPV1-mediated calcium-influx potentially leading to hyperthermia, it did not alter deep body temperature. Oral SZV 1287 inhibited neuropathic hyperalgesia and, despite TRPV1 antagonistic action and brain penetration, it did not influence thermoregulation, which makes it a promising analgesic candidate.
PubMed: 34209525
DOI: 10.3390/biomedicines9070749