Match tier
Likely match
Presence
Current · Arkansas
Last published
2024
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
D
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: Arkansas Children's Hospital (2017); United States Food and Drug Administration (2013–2022)
Postdoc Researcher
11 h-index
15 pubs
286 cited
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: 15
- Citations: 286
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 <i>Salmonella enterica</i> Serovar Enteritidis Isolates from Humans and Chicken- and Egg-Associated Sources (2013)
Collaboration Network
Top Collaborators
Noah R. Flynn
Washington University in St. Louis (US)
2 shared publications
- Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort
- Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin
Grover P. Miller
University of Arkansas for Medical Sciences
2 shared publications
In database
- Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort
- Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin
S. Joshua Swamidass
Washington University in St. Louis (US)
2 shared publications
- Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort
- Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin
Laura K. Schnackenberg
United States Food and Drug Administration
2 shared publications
In database
- 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
E. Ellen Jones
National Center for Toxicological Research
2 shared publications
In database
- 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
Arghya Datta
Washington University in St. Louis (US)
1 shared publication
- Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort
Keith F. Woeltje
Washington University in St. Louis (US)
1 shared publication
- Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort
David A. Thorn
National Center for Toxicological Research
1 shared publication
In database
- MALDI imaging mass spectrometry: an emerging tool in neurology
Dakota L. Pouncey
University of Arkansas for Medical Sciences
1 shared publication
In database
- Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin
Riley W. Sinnott
University of Arkansas for Medical Sciences (US)
1 shared publication
- Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin
Sarah Phillips
University of Arkansas for Medical Sciences (US)
1 shared publication
- Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin
Howard P. Hendrickson
University of Arkansas for Medical Sciences (US)
1 shared publication
- Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin
Qiang Shi
United States Food and Drug Administration
1 shared publication
In database
- Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury
Ayesha Arefin
National Center for Toxicological Research
1 shared publication
In database
- Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury
Lijun Ren
National Center for Toxicological Research
1 shared publication
In database
- Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury
Similar Researchers
Based on overlapping research topics
Laura K. Schnackenberg
National Center for Toxicological Research
Drug-Induced Hepatotoxicity and Protection
Metabolomics and Mass Spectrometry Techniques
Pharmacological Effects and Toxicity Studies
Minjun Chen
National Center for Toxicological Research
Drug-Induced Hepatotoxicity and Protection
Machine Learning Applications
Pharmacological Effects and Toxicity Studies
Amy L. Inselman
National Center for Toxicological Research
Metabolomics and Mass Spectrometry Techniques
Pharmacological Effects and Toxicity Studies
Medical Imaging Techniques and Applications
Fan Dong
National Center for Toxicological Research
Drug-Induced Hepatotoxicity and Protection
Machine Learning Applications
Pharmacological Effects and Toxicity Studies
Kirsten Clement
University of Arkansas for Medical Sciences
Drug-Induced Hepatotoxicity and Protection
Metabolomics and Mass Spectrometry Techniques
Pharmacological Effects and Toxicity Studies
David Tiu
Arkansas State University
Machine Learning Applications
Pharmacological Effects and Toxicity Studies
Retrospective Studies