- Metabolomics and Mass Spectrometry Studies
- Alcohol Consumption and Health Effects
- Medicinal Plants and Bioactive Compounds
- Cancer, Hypoxia, and Metabolism
- Drug Solubulity and Delivery Systems
- Carcinogens and Genotoxicity Assessment
- Pharmaceutical studies and practices
- Liver Disease Diagnosis and Treatment
- Sulfur Compounds in Biology
- Glutathione Transferases and Polymorphisms
- Genomics, phytochemicals, and oxidative stress
- Advanced Proteomics Techniques and Applications
- Crystallization and Solubility Studies
- Toxic Organic Pollutants Impact
- Pancreatic function and diabetes
- Antibiotics Pharmacokinetics and Efficacy
- Advanced Drug Delivery Systems
- Cancer, Lipids, and Metabolism
- Pesticide Exposure and Toxicity
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
- Computational Drug Discovery Methods
- Electrolyte and hormonal disorders
- Peroxisome Proliferator-Activated Receptors
- COVID-19 Clinical Research Studies
Yale University
2015-2024
University of Montana
2021
University of Colorado Anschutz Medical Campus
2021
Yale New Haven Health System
2017
National and Kapodistrian University of Athens
2010-2013
Evangelismos Hospital
2011
Abstract In this paper, we introduce a network machine learning method to identify potential bioactive anti-COVID-19 molecules in foods based on their capacity target the SARS-CoV-2-host gene-gene (protein-protein) interactome. Our analyses were performed using supercomputing DreamLab App platform, harnessing idle computational power of thousands smartphones. Machine models initially calibrated by demonstrating that proposed can predict candidates among experimental and clinically approved...
Background There is controversy regarding the active agent responsible for alcohol addiction. The theory that ethanol (EtOH) itself was in drinking behavior widely accepted until acetaldehyde (AcH) found brain. importance of AcH formation brain still subject to speculation due lack a method accurately assay levels directly. A highly sensitive gas chromatography mass spectrometry (GC‐MS) reliably determine concentration with certainty needed address whether neural indeed increased...
Alcoholic fatty liver disease (AFLD) is characterized by lipid accumulation and inflammation can progress to cirrhosis cancer in the liver. AFLD diagnosis currently relies on histological analysis of biopsies. Early detection permits interventions that would prevent progression or later stages disease. Herein, we have conducted first comprehensive time-course study lipids using novel state-of-the art lipidomics methods plasma early a mouse model AFLD, i.e., Lieber-DeCarli diet model. In...
This study was undertaken to investigate the effect of d-alpha-tocopheryl polyethylene glycol 1000 succinate (vitamin E TPGS) on dissolution carbamazepine (CBZ) commercial tablets (Tegretol(®)) as a function temperature and modify reaction-limited model for description classical supersaturated data.Solubility studies were performed using various concentrations (i) TPGS (ii) silicon dioxide microcrystalline cellulose, which are excipients Tegretol(®) at 10, 25 37°C. Dissolution carried out...
1,4-Dioxane (1,4-DX) is an environmental contaminant found in drinking water throughout the United States. Although it a suspected liver carcinogen, there no federal or state maximum level for 1,4-DX water. Very little known about mechanisms by which this chemical elicits carcinogenicity. In present study, female BDF-1 mice were exposed to (0, 50, 500, and 5,000mg/L) their 1 4 weeks, explore toxic effects. Histopathological studies multi-omics approach (transcriptomics metabolomics)...
Abstract Over the last century, outbreaks and pandemics have occurred with disturbing regularity, necessitating advance preparation large-scale, coordinated response. Here, we developed a machine learning predictive model of disease severity length hospitalization for COVID-19, which can be utilized as platform future unknown viral outbreaks. We combined untargeted metabolomics on plasma data obtained from COVID-19 patients (n = 111) during healthy controls 342), clinical comorbidity 508) to...
To investigate intact blood-brain barrier (BBB) penetration by doripenem and characterize pharmacokinetics in CSF using a pharmacokinetic model.Thirty-eight neurological patients with no active disease or CNS infection received single 500 mg dose before pump implantation surgery, lumbar puncture, for intrathecal baclofen administration. In most cases blood samples were collected per patient analysed HPLC. A two-stage analysis was performed to estimate: (i) empirical Bayesian estimates (EBEs)...