A5062673118- Pharmacogenetics and Drug Metabolism
- Antibiotics Pharmacokinetics and Efficacy
- Statistical Methods in Clinical Trials
- Pharmaceutical studies and practices
- Computational Drug Discovery Methods
- Drug Transport and Resistance Mechanisms
- Health Systems, Economic Evaluations, Quality of Life
- Pregnancy and Medication Impact
- Antibiotic Resistance in Bacteria
- Pharmaceutical Economics and Policy
- Tuberculosis Research and Epidemiology
- Reproductive Health and Contraception
- Biosimilars and Bioanalytical Methods
- Network Security and Intrusion Detection
- Antifungal resistance and susceptibility
- Atrial Fibrillation Management and Outcomes
- Mycobacterium research and diagnosis
- Analytical Methods in Pharmaceuticals
- Diabetes Treatment and Management
- Drug Solubulity and Delivery Systems
- Cancer therapeutics and mechanisms
- Venous Thromboembolism Diagnosis and Management
- Pharmacological Effects and Toxicity Studies
- Pharmaceutical Practices and Patient Outcomes
- Maternal Mental Health During Pregnancy and Postpartum
University of Florida
2016-2025
Technische Universität Berlin
2007-2024
Federal Institute For Materials Research and Testing
2010-2024
Florida College
2008-2023
American Association of Colleges of Pharmacy
2023
Roche (Switzerland)
2018-2021
University of British Columbia
2018-2021
University of California, San Francisco
2021
Erasmus MC
2021
Radboud University Nijmegen
2021
Mass spectrometry has become the analytical method of choice in metabolomics research. The identification unknown compounds is main bottleneck. In addition to precursor mass, tandem MS spectra carry informative fragment peaks, but coverage spectral libraries measured reference are far from covering complete chemical space. Compound such as PubChem or KEGG describe a larger number compounds, which can be used compare their silico fragmentation with metabolites. We created MetFrag suite obtain...
A systems pharmacology model typically integrates pharmacokinetic, biochemical network, and biology concepts into a unifying approach. It consists of large number parameters reaction species that are interlinked based upon the underlying (patho)physiology mechanism drug action. The more complex these models are, greater challenge reliably identifying estimating respective parameters. Global sensitivity analysis provides an innovative tool can meet this challenge. CPT Pharmacometrics Syst....
Abstract Many metabolomics studies focus on aboveground parts of the plant, while metabolism within roots and chemical composition rhizosphere, as influenced by exudation, are not deeply investigated. In this study, we analysed exudate metabolic patterns Arabidopsis thaliana their variation in genetically diverse accessions. For project, used 19 parental accessions MAGIC collection. Plants were grown a hydroponic system, exudates harvested before bolting subjected to UPLC/ESI-QTOF-MS...
Summary Stress granules ( SG s) are evolutionary conserved aggregates of proteins and untranslated mRNA s formed in response to stress. Despite their importance for stress adaptation, no complete proteome composition has been reported plant s. In this study, we addressed the existing gap. Importantly, also provide evidence metabolite sequestration within To isolate used Arabidopsis seedlings expressing green fluorescent protein GFP) fusion marker protein, Rbp47b, an experimental protocol...
As morbidly obese patients are prone to surgical site infections, adequate blood and subcutaneous tissue concentrations of prophylactic antibiotic agents during surgery imperative. In this study we evaluated cefazolin adipose distribution in non-obese patients, thereby quantifying the influence morbid obesity on pharmacokinetics enabling Monte Carlo simulations for subsequent dose adjustments. Nine [body mass index (BMI) 47 ± 6 kg/m2], whom eight were evaluable, seven (BMI 28 3 kg/m2)...
Plants have evolved two major strategies to cope with phosphate (Pi) limitation. The systemic response, mainly comprising increased Pi uptake and metabolic adjustments for more efficient use, the local enabling plants explore Pi-rich soil patches by reorganization of root system architecture. Unlike previous reports, this study focused on exudation controlled response deficiency. To approach this, a hydroponic separating responses was developed. Arabidopsis thaliana genotypes exhibiting...
ABSTRACT During antibiotic drug development, media are frequently spiked with either serum/plasma or protein supplements to evaluate the effect of binding. Usually, previously reported serum plasma binding values applied in analysis. The aim this study was approach by experimentally measuring free, unbound concentrations for antibiotics reportedly high and their corresponding antimicrobial activities containing commonly used supplements. Free, ceftriaxone ertapenem were determined bacterial...
Acetaminophen (APAP) is a widely used analgesic and antipyretic drug that undergoes extensive phase I II metabolism. To better understand the kinetics of this process to characterize dynamic changes in metabolism pharmacokinetics (PK) between children adults, we developed physiologically based PK (PBPK) model for APAP integrating silico , vitro vivo data into single model. The was qualified adults subsequently expanded application by accounting maturational from birth. Once qualified, it...
The chemical composition of root exudates strongly impacts the interactions plants with microorganisms in rhizosphere and efficiency nutrient acquisition. Exudation metabolites is part mediated by ATP-binding cassette (ABC) transporters. In order to assess contribution individual ABC transporters exudation, we performed an LC-MS based non-targeted metabolite profiling semi-polar accumulating Arabidopsis thaliana mutants deficient expression ABCG36 (PDR8/PEN3), ABCG37 (PDR9) or both...
Artificial intelligence, in particular machine learning (ML), has emerged as a key promising pillar to overcome the high failure rate drug development. Here, we present primer on ML algorithms most commonly used discovery and We also list possible data sources, describe good practices for model development validation, share reproducible example. A companion article will summarize applications of discovery, development, postapproval phase.
Abstract Clinical trials seeking to delay or prevent the onset of type 1 diabetes (T1D) face a series pragmatic challenges. Despite more than 100 years since discovery insulin, teplizumab remains only FDA‐approved therapy progression from Stage 2 3 T1D. To increase efficiency clinical this goal, our project sought inform T1D trial designs by developing disease model‐based simulation tool. Using individual‐level data collected TrialNet Pathway Prevention and The Environmental Determinants...
Parkinson's Disease (PD) is a neurodegenerative disorder characterized by dopaminergic cell death in the substantia nigra. While interplay between dopamine loss and symptoms well‐recognized, respective quantitative link has yet to be established. The objective was establish biomarker‐directed clinical endpoint model for early‐stage PD patients. We developed disease progression using DATscan data 196 healthy subjects 419 patients characterize onset of This then linked MDS‐UPDRS Parts I, II,...
Voriconazole, a first-line agent for the treatment of invasive fungal infections (IFIs), is metabolized by CYP2C19. A significant proportion patients fail to achieve therapeutic trough concentrations with standard weight-based voriconazole dosing, placing them at increased risk failure, which can be life threatening. We sought test association between CYP2C19 genotype and subtherapeutic in adults IFIs.Adults receiving dosing IFIs were genotyped CYP2C19*2, *3, *17 polymorphisms, metabolizer...
Abstract An understanding of the postnatal development hepatic UDP‐glucuronosyltransferase (UGT) enzymes is required for accurate prediction age‐dependent changes in pharmacokinetics many drugs used children. However, maturation rate UGT isoforms remains a major knowledge gap. This study aimed to establish age‐associated glucuronidation activity 10 humans, namely, UGT1A1, UGT1A3, UGT1A4, UGT1A6, UGT1A9, UGT2B4, UGT2B7, UGT2B10, UGT2B15, and UGT2B17. Human liver microsomes from pediatric...