Colin D. Kay
Professor
Also affiliated: University of East Anglia (2005–2025); Brigham and Women's Hospital (2012); Pennsylvania State University (2006–2014); Agriculture and Agri-Food Canada (2002–2005); United States Department of Agriculture (2012); Harvard University (2012); North Carolina State University (2017–2025); Norwich Research Park (2009–2016); University of Arkansas Medical Center (2025); University of Surrey (2012); Quadram Institute (2009); Oklahoma Medical Research Foundation (2008); GlaxoSmithKline (United States) (2012); Beltsville Agricultural Research Center (2012); Arkansas Children's Nutrition Center (2024–2026); Summerland Research and Development Centre (2002–2005); Arkansas Children's Research Institute (2025–2026); University of Bari Aldo Moro (2012); New York University (2012); University of Guelph (2002–2005)
COM | Peds Developmental Nutrition
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Colin D. Kay's research centers on the bioavailability, metabolism, and bioactivity of dietary compounds, particularly flavonoids and anthocyanins. His work investigates how these compounds are absorbed, transported, and utilized by the human body, and their subsequent effects on health. Kay has published extensively on the pharmacokinetics of anthocyanins and their metabolites in humans, examining their absorption from sources like blueberries and their impact on antioxidant status. His research also explores the relationship between habitual intake of flavonoid subclasses and the incidence of hypertension in adults, as well as the association between higher anthocyanin intake and reduced arterial stiffness and central blood pressure in women.
Kay is a highly cited researcher with a significant publication record, including a meta-analysis on the effects of chocolate, cocoa, and flavan-3-ols on cardiovascular health. His scholarly metrics include an h-index of 45 and over 9,000 citations across 149 publications. He leads a research group and maintains an active lab website, indicating ongoing research activities. His key collaborators at the University of Arkansas for Medical Sciences include Mário G. Ferruzzi, Sree V. Chintapalli, Adepu Kiran Kumar, and Aline Andres, with whom he has co-authored multiple publications, highlighting a collaborative research network focused on nutritional science and its health implications.
Metrics
- h-index: 45
- Publications: 152
- Citations: 9,157
Positions
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Professor 2022–presentUniversity of Arkansas for Medical Sciences COM | Peds Developmental Nutrition Institutional directory
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Professor 2022–presentArkansas Children's Research Institute Developmental Nutrition ORCID
Selected Publications
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From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation (2026)
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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
- A Framework for Developing Intake and Use Guidance for Dietary Supplement Bioactives
- 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
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation
- 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
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation
- 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
- 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
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation
- 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
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation
- 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
- Unraveling Protein-Metabolite Interactions in Precision Nutrition: A Case Study of Blueberry-Derived Metabolites Using Advanced Computational Methods
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation
- Integrating fingerprint prediction and physicochemical property filtering to annotate unknown metabolites from high-resolution MS/MS spectra
- From known chemical space to unannotated metabolites: a cluster-guided retention-time driven framework for biologically informed annotation
- 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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