Crop, Host, and Gut Microbiome Variation Influence Precision Nutrition: An Example of Blueberries

Epidemiological studies have shown associations between polyphenol-rich fruit intake and bone health, and preclinical studies have shown that blueberries improve bone health. To determine the genotype and dose of blueberries that are effective in ameliorating age-related bone loss, a multi-instituti...

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Published in:	Antioxidants Vol. 12; no. 5; p. 1136
Main Authors:	Weaver, Connie M, Ferruzzi, Mario G, Maiz, Maria, Cladis, Dennis P, Nakatsu, Cindy H, McCabe, George P, Lila, Mary Ann
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 22-05-2023 MDPI
Subjects:	Acids Age Analysis Anthocyanin Anthocyanins Berries Bioavailability Blueberries Bone loss Catheters Diet Epidemiology Flavonoids Gas flow Genotypes Intestinal microflora Medical research Medicine, Experimental Metabolites Microbiomes Nitrogen Nutrition Nutrition research Osteoporosis Pharmacokinetics Phenolic compounds Physiological aspects Phytochemicals Polyphenols precision nutrition Principal components analysis Vaccinium North Carolina United States > US polyphenols anthocyanins precision nutrition blueberries
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Abstract	Epidemiological studies have shown associations between polyphenol-rich fruit intake and bone health, and preclinical studies have shown that blueberries improve bone health. To determine the genotype and dose of blueberries that are effective in ameliorating age-related bone loss, a multi-institutional team of investigators performed in vitro, preclinical, and clinical studies on blueberry varieties that differed in flavonoid profiles. Principal component analysis was used to select blueberry genotypes that varied in anthocyanin profiles. Total phenolic content did not predict the bioavailability of polyphenolic compounds in rats. A range in bioavailability was observed in individual polyphenolic compounds across genotypes. Both alpha and beta diversity analyses indicated that gut microbiome profiles varied with blueberry dose in rats. Additionally, the identification of specific taxa, such as Prevotellaceae_UCG-001 and Coriobacteriales, increasing after blueberry consumption adds to the mounting evidence of their role in polyphenol metabolism. All of the sources of variation can inform blueberry breeding practices to influence precision nutrition.
AbstractList	Epidemiological studies have shown associations between polyphenol-rich fruit intake and bone health, and preclinical studies have shown that blueberries improve bone health. To determine the genotype and dose of blueberries that are effective in ameliorating age-related bone loss, a multi-institutional team of investigators performed in vitro, preclinical, and clinical studies on blueberry varieties that differed in flavonoid profiles. Principal component analysis was used to select blueberry genotypes that varied in anthocyanin profiles. Total phenolic content did not predict the bioavailability of polyphenolic compounds in rats. A range in bioavailability was observed in individual polyphenolic compounds across genotypes. Both alpha and beta diversity analyses indicated that gut microbiome profiles varied with blueberry dose in rats. Additionally, the identification of specific taxa, such as Prevotellaceae_UCG-001 and Coriobacteriales, increasing after blueberry consumption adds to the mounting evidence of their role in polyphenol metabolism. All of the sources of variation can inform blueberry breeding practices to influence precision nutrition. Epidemiological studies have shown associations between polyphenol-rich fruit intake and bone health, and preclinical studies have shown that blueberries improve bone health. To determine the genotype and dose of blueberries that are effective in ameliorating age-related bone loss, a multi-institutional team of investigators performed in vitro, preclinical, and clinical studies on blueberry varieties that differed in flavonoid profiles. Principal component analysis was used to select blueberry genotypes that varied in anthocyanin profiles. Total phenolic content did not predict the bioavailability of polyphenolic compounds in rats. A range in bioavailability was observed in individual polyphenolic compounds across genotypes. Both alpha and beta diversity analyses indicated that gut microbiome profiles varied with blueberry dose in rats. Additionally, the identification of specific taxa, such as Prevotellaceae_UCG-001 and Coriobacteriales, increasing after blueberry consumption adds to the mounting evidence of their role in polyphenol metabolism. All of the sources of variation can inform blueberry breeding practices to influence precision nutrition.Epidemiological studies have shown associations between polyphenol-rich fruit intake and bone health, and preclinical studies have shown that blueberries improve bone health. To determine the genotype and dose of blueberries that are effective in ameliorating age-related bone loss, a multi-institutional team of investigators performed in vitro, preclinical, and clinical studies on blueberry varieties that differed in flavonoid profiles. Principal component analysis was used to select blueberry genotypes that varied in anthocyanin profiles. Total phenolic content did not predict the bioavailability of polyphenolic compounds in rats. A range in bioavailability was observed in individual polyphenolic compounds across genotypes. Both alpha and beta diversity analyses indicated that gut microbiome profiles varied with blueberry dose in rats. Additionally, the identification of specific taxa, such as Prevotellaceae_UCG-001 and Coriobacteriales, increasing after blueberry consumption adds to the mounting evidence of their role in polyphenol metabolism. All of the sources of variation can inform blueberry breeding practices to influence precision nutrition.
Audience	Academic
Author	Ferruzzi, Mario G Cladis, Dennis P Lila, Mary Ann McCabe, George P Nakatsu, Cindy H Weaver, Connie M Maiz, Maria
AuthorAffiliation	3 Department of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA; m.maizr@gmail.com 4 Department of Food Science and Technology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA; dcladis@vt.edu 1 School of Exercise and Nutritional Science, San Diego State University, San Diego, CA 92182, USA 7 Plants for Human Health Institute, Department of Food Bioprocessing and Nutrition Sciences, North Carolina State University, Kannapolis, NC 28081, USA 5 Department of Agronomy, Purdue University, West Lafayette, IN 47907, USA; cnakatsu@purdue.edu 2 Arkansas Children’s Nutrition Center, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA; mferruzzi@uams.edu 6 Department of Statistics, Purdue University, West Lafayette, IN 47907, USA; mccabe@purdue.edu
AuthorAffiliation_xml	– name: 6 Department of Statistics, Purdue University, West Lafayette, IN 47907, USA; mccabe@purdue.edu – name: 2 Arkansas Children’s Nutrition Center, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA; mferruzzi@uams.edu – name: 4 Department of Food Science and Technology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA; dcladis@vt.edu – name: 5 Department of Agronomy, Purdue University, West Lafayette, IN 47907, USA; cnakatsu@purdue.edu – name: 3 Department of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA; m.maizr@gmail.com – name: 1 School of Exercise and Nutritional Science, San Diego State University, San Diego, CA 92182, USA – name: 7 Plants for Human Health Institute, Department of Food Bioprocessing and Nutrition Sciences, North Carolina State University, Kannapolis, NC 28081, USA
Author_xml	– sequence: 1 givenname: Connie M surname: Weaver fullname: Weaver, Connie M organization: School of Exercise and Nutritional Science, San Diego State University, San Diego, CA 92182, USA – sequence: 2 givenname: Mario G surname: Ferruzzi fullname: Ferruzzi, Mario G organization: Arkansas Children's Nutrition Center, Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA – sequence: 3 givenname: Maria surname: Maiz fullname: Maiz, Maria organization: Department of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA – sequence: 4 givenname: Dennis P surname: Cladis fullname: Cladis, Dennis P organization: Department of Food Science and Technology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA – sequence: 5 givenname: Cindy H orcidid: 0000-0003-0663-180X surname: Nakatsu fullname: Nakatsu, Cindy H organization: Department of Agronomy, Purdue University, West Lafayette, IN 47907, USA – sequence: 6 givenname: George P orcidid: 0000-0002-0691-3113 surname: McCabe fullname: McCabe, George P organization: Department of Statistics, Purdue University, West Lafayette, IN 47907, USA – sequence: 7 givenname: Mary Ann orcidid: 0000-0002-4928-3836 surname: Lila fullname: Lila, Mary Ann organization: Plants for Human Health Institute, Department of Food Bioprocessing and Nutrition Sciences, North Carolina State University, Kannapolis, NC 28081, USA
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Snippet	Epidemiological studies have shown associations between polyphenol-rich fruit intake and bone health, and preclinical studies have shown that blueberries...
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SubjectTerms	Acids Age Analysis Anthocyanin Anthocyanins Berries Bioavailability Blueberries Bone loss Catheters Diet Epidemiology Flavonoids Gas flow Genotypes Intestinal microflora Medical research Medicine, Experimental Metabolites Microbiomes Nitrogen Nutrition Nutrition research Osteoporosis Pharmacokinetics Phenolic compounds Physiological aspects Phytochemicals Polyphenols precision nutrition Principal components analysis Vaccinium
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Title	Crop, Host, and Gut Microbiome Variation Influence Precision Nutrition: An Example of Blueberries
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