Lisa Pence
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Researcher
Also affiliated: United States Food and Drug Administration (2010–2022); Center for Drug Evaluation and Research (2020); Sidney & Lois Eskenazi Hospital (2014); Thomas Jefferson National Accelerator Facility (2012); Beltsville Agricultural Research Center (2016); Eskenazi Health Foundation (2014); Eskenazi Health (2014); University of Oklahoma Health Sciences Center (2001); University of Maryland, College Park (2016)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Lisa Pence's research focuses on the discovery and validation of biomarkers for predicting patient outcomes, particularly in the context of acute kidney injury (AKI). Her work utilizes proteomic and metabolomic approaches to identify measurable indicators in biological samples that can forecast recovery for patients requiring dialysis. She has investigated serum metabolite profiles as predictors for outcomes in critically ill patients undergoing renal replacement therapy. Additionally, her research has explored methods for evaluating delayed repolarization in human induced pluripotent stem cell-derived cardiomyocytes, examining the effects of different serum and compound preparation techniques. Pence's scholarship includes 40 publications with 719 citations and an h-index of 16. She has collaborated with researchers at the National Center for Toxicological Research, including Richard D. Beger, Jinchun Sun, and Laura K. Schnackenberg.
Metrics
- h-index: 16
- Publications: 40
- Citations: 733
Selected Publications
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Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs (2022)
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Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy (2021)
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Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients (2021)
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Distinct lipid signatures are identified in the plasma of rats with chronic inflammation induced by estradiol benzoate and sex hormones (2020)
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Hepatic Transcript Profiles of Cytochrome P450 Genes Predict Sex Differences in Drug Metabolism (2020)
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Stability of the Human Plasma Proteome to Pre-analytical Variability as Assessed by an Aptamer-Based Approach (2019)
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An Integrated Analysis of Metabolites, Peptides, and Inflammation Biomarkers for Assessment of Preanalytical Variability of Human Plasma (2019)
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Testicular function in cultured postnatal mouse testis fragments is similar to that of animals during the first wave of spermatogenesis (2019)
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An Aptamer‐Based Approach to Assess the Human Plasma Proteome for Pre‐Analytical Variability (2018)
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Targeted metabolomic profiling indicates structure-based perturbations in serum phospholipids in children with acetaminophen overdose (2016)
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Early metabolomics changes in heart and plasma during chronic doxorubicin treatment in B6C3F<sub>1</sub> mice (2016)
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Comparison of Bile Acids and Acetaminophen Protein Adducts in Children and Adolescents with Acetaminophen Toxicity (2015)
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Genetic associations with micronutrient levels identified in immune and gastrointestinal networks (2014)
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Targeted Liquid Chromatography–Mass Spectrometry Analysis of Serum Acylcarnitines in Acetaminophen Toxicity in Children (2014)
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Comprehensive analysis of alterations in lipid and bile acid metabolism by carbon tetrachloride using integrated transcriptomics and metabolomics (2014)
Collaboration Network
Top Collaborators
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
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