Dustyn A. Barnette
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Postdoctoral Fellow
Also affiliated: United States Food and Drug Administration (2013–2024); Arkansas Children's Research Institute (2017)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Dustyn A. Barnette's research focuses on understanding drug-induced liver injury and toxicity, utilizing advanced methodologies and large datasets. Barnette has investigated the use of machine learning to identify potential drug interactions that could lead to liver injury, particularly between non-steroidal anti-inflammatory drugs (NSAIDs) and other medications, by analyzing retrospective electronic health record (EHR) data. Further research has explored the application of MALDI imaging mass spectrometry as a tool for identifying markers of toxicity, including in studies of in utero opioid exposures in mouse fetuses. Barnette also works on developing and utilizing in vitro models, such as co-cultures of human liver cells in liver-chip devices, to study drug-induced liver injury. This work contributes to the broader understanding of drug metabolism and potential adverse effects.
Metrics
- h-index: 11
- Publications: 16
- Citations: 291
Positions
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Postdoctoral Fellow 2020–presentNational Center for Toxicological Research Division of Systems Biology ORCID
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Graduate Research Assistant 2015–2020University of Arkansas for Medical Sciences Department of Biochemistry and Molecular Biology ORCID
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Research Technician 2013–2015University of Arkansas for Medical Sciences Department of Microbiology and Immunology ORCID
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Microbiology Technician 2012–2013Windsor Foods: Quality Sausage Company Quality Assurance ORCID
Selected Publications
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The incorporation of MALDI mass spectrometry imaging in studies to identify markers of toxicity following in utero opioid exposures in mouse fetuses (2024)
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Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury (2022)
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Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin (2022)
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MALDI imaging mass spectrometry: an emerging tool in neurology (2021)
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Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort (2021)
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Meloxicam methyl group determines enzyme specificity for thiazole bioactivation compared to sudoxicam (2020)
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P166 - The sudoxicam family: Identifying how thiazole structure determines bioactivation relevance (2020)
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Dual mechanisms suppress meloxicam bioactivation relative to sudoxicam (2020)
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Comprehensive kinetic and modeling analyses revealed CYP2C9 and 3A4 determine terbinafine metabolic clearance and bioactivation (2019)
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CYP2C19 and 3A4 Dominate Metabolic Clearance and Bioactivation of Terbinafine Based on Computational and Experimental Approaches (2019)
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Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches (2018)
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Modeling the Metabolism and Subsequent Reactivity of Drugs (2017)
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Stereospecific Metabolism of R- and S-Warfarin by Human Hepatic Cytosolic Reductases (2017)
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Exposure Cessation During Adulthood Did Not Prevent Immunotoxicity Caused by Developmental Exposure to Low-Level Trichloroethylene in Drinking Water (2017)
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Evaluation of Virulence and Antimicrobial Resistance in Salmonella enterica Serovar Enteritidis Isolates from Humans and Chicken- and Egg-Associated Sources (2013)
Collaboration Network
Top Collaborators
- Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort
- Meloxicam methyl group determines enzyme specificity for thiazole bioactivation compared to sudoxicam
- Stereospecific Metabolism of R- and S-Warfarin by Human Hepatic Cytosolic Reductases
- Dual mechanisms suppress meloxicam bioactivation relative to sudoxicam
- Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches
Showing 5 of 10 shared publications
- Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort
- Meloxicam methyl group determines enzyme specificity for thiazole bioactivation compared to sudoxicam
- Dual mechanisms suppress meloxicam bioactivation relative to sudoxicam
- Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches
- CYP2C19 and 3A4 Dominate Metabolic Clearance and Bioactivation of Terbinafine Based on Computational and Experimental Approaches
Showing 5 of 9 shared publications
- Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort
- Meloxicam methyl group determines enzyme specificity for thiazole bioactivation compared to sudoxicam
- Dual mechanisms suppress meloxicam bioactivation relative to sudoxicam
- CYP2C19 and 3A4 Dominate Metabolic Clearance and Bioactivation of Terbinafine Based on Computational and Experimental Approaches
- Comprehensive kinetic and modeling analyses revealed CYP2C9 and 3A4 determine terbinafine metabolic clearance and bioactivation
Showing 5 of 6 shared publications
- Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches
- CYP2C19 and 3A4 Dominate Metabolic Clearance and Bioactivation of Terbinafine Based on Computational and Experimental Approaches
- Comprehensive kinetic and modeling analyses revealed CYP2C9 and 3A4 determine terbinafine metabolic clearance and bioactivation
- P166 - The sudoxicam family: Identifying how thiazole structure determines bioactivation relevance
- Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches
- CYP2C19 and 3A4 Dominate Metabolic Clearance and Bioactivation of Terbinafine Based on Computational and Experimental Approaches
- Comprehensive kinetic and modeling analyses revealed CYP2C9 and 3A4 determine terbinafine metabolic clearance and bioactivation
- Stereospecific Metabolism of R- and S-Warfarin by Human Hepatic Cytosolic Reductases
- Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin
- Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches
- Modeling the Metabolism and Subsequent Reactivity of Drugs
- Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches
- Modeling the Metabolism and Subsequent Reactivity of Drugs
- Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches
- CYP2C19 and 3A4 Dominate Metabolic Clearance and Bioactivation of Terbinafine Based on Computational and Experimental Approaches
- Meloxicam methyl group determines enzyme specificity for thiazole bioactivation compared to sudoxicam
- Dual mechanisms suppress meloxicam bioactivation relative to sudoxicam
- Dual mechanisms suppress meloxicam bioactivation relative to sudoxicam
- Modeling the Metabolism and Subsequent Reactivity of Drugs
- Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort
- Meloxicam methyl group determines enzyme specificity for thiazole bioactivation compared to sudoxicam
- MALDI imaging mass spectrometry: an emerging tool in neurology
- Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury
- MALDI imaging mass spectrometry: an emerging tool in neurology
- The incorporation of MALDI mass spectrometry imaging in studies to identify markers of toxicity following in utero opioid exposures in mouse fetuses
- Evaluation of Virulence and Antimicrobial Resistance in Salmonella enterica Serovar Enteritidis Isolates from Humans and Chicken- and Egg-Associated Sources
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