A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress
Abstract This study developed a health assessment tool to analyze dynamic stress responses and resilience with the PhenFlex challenge. This study integrated a health space model and machine learning to quantify and visualize the impact of herbal extracts on inflammatory and metabolic health at the i...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | npj Science of Food |
| Online Access: | https://doi.org/10.1038/s41538-024-00354-y |
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| author | Soo-yeon Park Oran Kwon Tim van den Broek Jildau Bouwman Ji Yeon Kim |
| author_facet | Soo-yeon Park Oran Kwon Tim van den Broek Jildau Bouwman Ji Yeon Kim |
| author_sort | Soo-yeon Park |
| collection | DOAJ |
| description | Abstract This study developed a health assessment tool to analyze dynamic stress responses and resilience with the PhenFlex challenge. This study integrated a health space model and machine learning to quantify and visualize the impact of herbal extracts on inflammatory and metabolic health at the individual level. Two randomized, double-blind, placebo-controlled crossover trials were conducted involving participants with PhenFlex challenge after overnight fasting. Blood samples were collected, and a machine learning algorithm was used to predict health estimation scores based on metabolic and inflammatory responses. The resulting health space model visually represents individuals’ health status in a 2-D space. Intervention with herbal extracts (e.g., Angelica keiskei, AK, and Capsosiphon fulvescens, CF) resulted in higher health scores in the health space, indicating improved health. This research emphasizes the quantification of phenotypic changes for personalized nutrition and health optimization. Overall, this study provides a valuable toolkit for validating herbal extract efficacy and extends its application to personalized nutrition. |
| format | Article |
| id | doaj-art-e639738bdfe9468da89185a77a96a6fa |
| institution | Kabale University |
| issn | 2396-8370 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Science of Food |
| spelling | doaj-art-e639738bdfe9468da89185a77a96a6fa2025-02-09T12:56:08ZengNature Portfolionpj Science of Food2396-83702025-02-01911810.1038/s41538-024-00354-yA toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stressSoo-yeon Park0Oran Kwon1Tim van den Broek2Jildau Bouwman3Ji Yeon Kim4Department of Food Science and Biotechnology, Seoul National University of Science and TechnologyDepartment of Nutritional Science and Food Management, Graduate Program in System Health Science and Engineering, Ewha Womans UniversityThe Netherlands Organization for Applied Scientific Research (TNO)The Netherlands Organization for Applied Scientific Research (TNO)Department of Food Science and Biotechnology, Seoul National University of Science and TechnologyAbstract This study developed a health assessment tool to analyze dynamic stress responses and resilience with the PhenFlex challenge. This study integrated a health space model and machine learning to quantify and visualize the impact of herbal extracts on inflammatory and metabolic health at the individual level. Two randomized, double-blind, placebo-controlled crossover trials were conducted involving participants with PhenFlex challenge after overnight fasting. Blood samples were collected, and a machine learning algorithm was used to predict health estimation scores based on metabolic and inflammatory responses. The resulting health space model visually represents individuals’ health status in a 2-D space. Intervention with herbal extracts (e.g., Angelica keiskei, AK, and Capsosiphon fulvescens, CF) resulted in higher health scores in the health space, indicating improved health. This research emphasizes the quantification of phenotypic changes for personalized nutrition and health optimization. Overall, this study provides a valuable toolkit for validating herbal extract efficacy and extends its application to personalized nutrition.https://doi.org/10.1038/s41538-024-00354-y |
| spellingShingle | Soo-yeon Park Oran Kwon Tim van den Broek Jildau Bouwman Ji Yeon Kim A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress npj Science of Food |
| title | A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress |
| title_full | A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress |
| title_fullStr | A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress |
| title_full_unstemmed | A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress |
| title_short | A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress |
| title_sort | toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress |
| url | https://doi.org/10.1038/s41538-024-00354-y |
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