Colin D. Kay
Professor
Also affiliated: University of East Anglia (2008–2025); NC Department of Health and Human Services (2022); Arkansas Children's Hospital (2025); Pennsylvania State University (2006–2014); Agriculture and Agri-Food Canada (2002–2005); Harvard University (2012); North Carolina State University (2017–2025); Norwich University (2005–2016); GlaxoSmithKline (United Kingdom) (2011–2021); Norwich Research Park (2009–2016); University of Arkansas Medical Center (2025); North Central State College (2022); University of Surrey (2012); Quadram Institute (2009); Oklahoma Medical Research Foundation (2008); Neurobehavioral Systems (2006–2007); David H. Murdock Research Institute (2018–2025); GlaxoSmithKline (United States) (2012); Université Bourgogne Franche-Comté (2022); Beltsville Agricultural Research Center (2012); Nutrition Sciences (Belgium) (2021); Arkansas Children's Nutrition Center (2024–2026); Medical Research Foundation (2008); Summerland Research and Development Centre (2004–2005); University of Bari Aldo Moro (2012); New York University (2012); University of Guelph (2002–2005)
Faculty Researcher
COM | Peds Developmental Nutrition
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Colin D. Kay's research focuses on the impact of dietary components, particularly anthocyanins and polyphenols from fruits, on cardiometabolic health. His work investigates how these compounds can mitigate the adverse effects of energy-dense meals. Kay has led randomized controlled trials examining the effects of blueberry and strawberry consumption on metabolic responses, inflammation, and vascular function in individuals with conditions such as metabolic syndrome and hypercholesterolemia.
Further research from Kay's group explores methods to enhance the bioaccessibility of beneficial compounds in food. This includes studying the formation and characteristics of protein-polyphenol aggregate particles and the influence of drying techniques on the bioaccessibility of carotenoids, chlorophylls, and phenolics in plant-based food matrices. His laboratory also investigates specific disease models, such as fetal alcohol spectrum disorder, examining gut microbiota-dependent metabolites in maternal plasma.
Kay holds a distinguished academic record with an h-index of 45, reflecting 148 publications and over 8,900 citations. He is recognized as a highly cited researcher. His collaborations within the University of Arkansas for Medical Sciences include significant shared publication activity with Mário G. Ferruzzi, Sree V. Chintapalli, Adepu Kiran Kumar, and Aline Andres.
Metrics
- h-index: 45
- Publications: 148
- Citations: 9,067
Selected Publications
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Integrating fingerprint prediction and physicochemical property filtering to annotate unknown metabolites from high-resolution MS/MS spectra (2026)
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A Framework for Developing Intake and Use Guidance for Dietary Supplement Bioactives (2026)
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Exogenous myrosinase from mustard seed increases bioavailability of sulforaphane from a glucoraphanin-rich broccoli seed extract in a randomized clinical study (2026)
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Prenatal Polyphenol Intake During Late Pregnancy Is Positively Associated With Academic and IQ Scores in School-Age Children (2025)
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Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery (2025)
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Comparison of the capillary and venous blood plasma lipidomes: validation of self-collected blood for plasma lipidomics (2025)
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Identification and functional characterization of BAHD acyltransferases associated with anthocyanin acylation in blueberry (2025)
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Bioavailability and pharmacokinetics of (poly)phenols following consumption of selected blueberries and a blueberry-rich protein bar by adult males and females: a randomized, crossover, controlled trial (2025)
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Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods (2024)
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Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery (2024)
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Genotype and ripening method affect carotenoid content and bio-accessibility in banana (2024)
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Chronic and postprandial effect of blueberries on cognitive function, alertness, and mood in participants with metabolic syndrome – results from a six-month, double-blind, randomized controlled trial (2024)
Collaboration Network
Top Collaborators
- Comparison of the capillary and venous blood plasma lipidomes: validation of self-collected blood for plasma lipidomics
- Genotype and ripening method affect carotenoid content and bio-accessibility in banana
- Bioavailability and pharmacokinetics of (poly)phenols following consumption of selected blueberries and a blueberry-rich protein bar by adult males and females: a randomized, crossover, controlled trial
- Identification and functional characterization of BAHD acyltransferases associated with anthocyanin acylation in blueberry
- Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods
- Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery
- Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Genotype and ripening method affect carotenoid content and bio-accessibility in banana
- Bioavailability and pharmacokinetics of (poly)phenols following consumption of selected blueberries and a blueberry-rich protein bar by adult males and females: a randomized, crossover, controlled trial
- Identification and functional characterization of BAHD acyltransferases associated with anthocyanin acylation in blueberry
- Genotype and ripening method affect carotenoid content and bio-accessibility in banana
- Bioavailability and pharmacokinetics of (poly)phenols following consumption of selected blueberries and a blueberry-rich protein bar by adult males and females: a randomized, crossover, controlled trial
- Identification and functional characterization of BAHD acyltransferases associated with anthocyanin acylation in blueberry
- Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods
- Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods
- Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Chronic and postprandial effect of blueberries on cognitive function, alertness, and mood in participants with metabolic syndrome – results from a six-month, double-blind, randomized controlled trial
- Bioavailability and pharmacokinetics of (poly)phenols following consumption of selected blueberries and a blueberry-rich protein bar by adult males and females: a randomized, crossover, controlled trial
- Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods
- Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery
- Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods
- Quantitative Metabolomics-Driven Protein Target Prediction: A Computational Workflow for Precision Nutrition Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Integrating fingerprint prediction and physicochemical property filtering to annotate unknown metabolites from high-resolution MS/MS spectra
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Integrating fingerprint prediction and physicochemical property filtering to annotate unknown metabolites from high-resolution MS/MS spectra
- Chronic and postprandial effect of blueberries on cognitive function, alertness, and mood in participants with metabolic syndrome – results from a six-month, double-blind, randomized controlled trial
- Chronic and postprandial effect of blueberries on cognitive function, alertness, and mood in participants with metabolic syndrome – results from a six-month, double-blind, randomized controlled trial
- Chronic and postprandial effect of blueberries on cognitive function, alertness, and mood in participants with metabolic syndrome – results from a six-month, double-blind, randomized controlled trial
- Chronic and postprandial effect of blueberries on cognitive function, alertness, and mood in participants with metabolic syndrome – results from a six-month, double-blind, randomized controlled trial
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