東華大學圖書館 |

Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit./
作者:	Templeton, Monique Carvalho.
面頁冊數:	1 online resource (424 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
Contained By:	Dissertations Abstracts International84-05B.
標題:	Food science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29781177click for full text (PQDT)
ISBN:	9798352981153

Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit.
Templeton, Monique Carvalho.

Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit. - 1 online resource (424 pages)

Source: Dissertations Abstracts International, Volume: 84-05, Section: B.

Thesis (Ph.D.)--North Carolina State University, 2022.

Includes bibliographical references

The Dietary Guidelines for Americans encourages consumption of a variety of fruits and vegetables for the health benefits implicated with their nutrient and (poly)phenol composition. However, less than 13% of Americans consume the daily recommended servings of fruits and vegetables (3.5-5 cup-equivalent) for a variety of reasons, including taste, cost, and convenience. Alternatively, increasing the nutrient density of fruits and vegetables may deliver greater health benefits to consumers. Using a commonly consumed fruit such as blueberry as a model, the objective of the present research was to evaluate the impact of blueberry genotype/phenotype and food processing on their (poly)phenol bioavailability as an attempt to enhance (poly)phenol delivery in consumer relevant processed foods. To address this objective, a broad-spectrum quantitative metabolomics method using LC-MS was validated and then applied to the analysis of (poly)phenol bioavailability in serum and urine samples.Initially, the quantitative metabolomics method was validated to ensure its suitability for the analysis of 8 blueberry-derived (poly)phenols, and 91 metabolites. The linearity, sensitivity, precision and accuracy of this quantitative method was assessed in serum based on bioanalytical method validation guidelines from the U.S. Department of Health and Human Services Food and Drug Administration, and the European Medicines Agency. This analytical method was deemed suitable for the analysis of these analytes and showed satisfactory precision and accuracy for 71- 83% of analytes at the most physiologically relevant concentrations (0.05-5 µM). In a second study describing the validation of this quantitative metabolomics method, the freeze-thaw stability of (poly)phenols was assessed in pre-extracted biological tissue at three concentrations. This study aimed to inform clinical nutrition researchers of the quantitative accuracy in metabolomics for 99 analytes across four freeze-thaw cycles of pre-extracted biological tissue, since clinical samples may need to be frozen and thawed during shipment or for reanalysis. Significant reductions in analyte response were observed over four cycles, but thawing pre-extracted biological tissue once minimally impacted the analytical response, yielding the most accurate response across concentrations.A third study evaluated the accuracy of using the reference standard of a (poly)phenol as a surrogate to quantify another (poly)phenol of the same or similar structure, a common practice when reference standards are not commercially available. However, this study showed that even in such cases there may be quantitative inaccuracy, with under- and overestimation of concentration by as much as 200-fold and above. Therefore, the present analysis indicated that unless the slopes of the analyte of interest and surrogate are known, this practice can be highly inaccurate. The use of reference standards is still the gold standard approach for optimal quantitative accuracy.The findings of the above studies were applied to the analysis of the bioavailability and pharmacokinetics of blueberry-derived (poly)phenols following consumption of one cup (150 g) of two blueberry varieties, Elliott containing higher (poly)phenol bioaccessibility than Olympia, a protein bar containing the equivalent to 1 cup of Elliott blueberry, and a macronutrient-matched control beverage in 18 healthy adults over 48 hours after consumption. There was a significant difference in the concentration of (poly)phenol metabolites across the subclasses of hydroxycinnamic acids, hydroxybenzoic acids and 3-(hydroxyphenyl)propanoic acids in the blood circulation and in urine across all blueberries and protein bar compared to the control, reflecting that they are derived from the berries. Metabolites from these subclasses also showed similar cumulative urinary excretion and area under the curve after consumption of the blueberries and protein bar.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352981153Subjects--Topical Terms:

3173303
Food science.
Index Terms--Genre/Form:

542853
Electronic books.

Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit.
LDR:05353nmm a2200385K 4500 001 2353799
005 20230313091357.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798352981153
035 $a (MiAaPQ)AAI29781177
035 $a (MiAaPQ)NCState_Univ18402039930
035 $a AAI29781177
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Templeton, Monique Carvalho. $3 3694130
245 1 0 $a Evaluating Plant-Derived (Poly)phenol Bioavailability via Broad-Spectrum Metabolomics Using Highbush Blueberries as a Model Fruit.
264 0 $c 2022
300 $a 1 online resource (424 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
500 $a Advisor: Kay, Colin.
502 $a Thesis (Ph.D.)--North Carolina State University, 2022.
504 $a Includes bibliographical references
520 $a The Dietary Guidelines for Americans encourages consumption of a variety of fruits and vegetables for the health benefits implicated with their nutrient and (poly)phenol composition. However, less than 13% of Americans consume the daily recommended servings of fruits and vegetables (3.5-5 cup-equivalent) for a variety of reasons, including taste, cost, and convenience. Alternatively, increasing the nutrient density of fruits and vegetables may deliver greater health benefits to consumers. Using a commonly consumed fruit such as blueberry as a model, the objective of the present research was to evaluate the impact of blueberry genotype/phenotype and food processing on their (poly)phenol bioavailability as an attempt to enhance (poly)phenol delivery in consumer relevant processed foods. To address this objective, a broad-spectrum quantitative metabolomics method using LC-MS was validated and then applied to the analysis of (poly)phenol bioavailability in serum and urine samples.Initially, the quantitative metabolomics method was validated to ensure its suitability for the analysis of 8 blueberry-derived (poly)phenols, and 91 metabolites. The linearity, sensitivity, precision and accuracy of this quantitative method was assessed in serum based on bioanalytical method validation guidelines from the U.S. Department of Health and Human Services Food and Drug Administration, and the European Medicines Agency. This analytical method was deemed suitable for the analysis of these analytes and showed satisfactory precision and accuracy for 71- 83% of analytes at the most physiologically relevant concentrations (0.05-5 µM). In a second study describing the validation of this quantitative metabolomics method, the freeze-thaw stability of (poly)phenols was assessed in pre-extracted biological tissue at three concentrations. This study aimed to inform clinical nutrition researchers of the quantitative accuracy in metabolomics for 99 analytes across four freeze-thaw cycles of pre-extracted biological tissue, since clinical samples may need to be frozen and thawed during shipment or for reanalysis. Significant reductions in analyte response were observed over four cycles, but thawing pre-extracted biological tissue once minimally impacted the analytical response, yielding the most accurate response across concentrations.A third study evaluated the accuracy of using the reference standard of a (poly)phenol as a surrogate to quantify another (poly)phenol of the same or similar structure, a common practice when reference standards are not commercially available. However, this study showed that even in such cases there may be quantitative inaccuracy, with under- and overestimation of concentration by as much as 200-fold and above. Therefore, the present analysis indicated that unless the slopes of the analyte of interest and surrogate are known, this practice can be highly inaccurate. The use of reference standards is still the gold standard approach for optimal quantitative accuracy.The findings of the above studies were applied to the analysis of the bioavailability and pharmacokinetics of blueberry-derived (poly)phenols following consumption of one cup (150 g) of two blueberry varieties, Elliott containing higher (poly)phenol bioaccessibility than Olympia, a protein bar containing the equivalent to 1 cup of Elliott blueberry, and a macronutrient-matched control beverage in 18 healthy adults over 48 hours after consumption. There was a significant difference in the concentration of (poly)phenol metabolites across the subclasses of hydroxycinnamic acids, hydroxybenzoic acids and 3-(hydroxyphenyl)propanoic acids in the blood circulation and in urine across all blueberries and protein bar compared to the control, reflecting that they are derived from the berries. Metabolites from these subclasses also showed similar cumulative urinary excretion and area under the curve after consumption of the blueberries and protein bar.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Food science. $3 3173303
650 4 $a Diabetes. $3 544344
650 4 $a Acids. $3 922327
650 4 $a Nutrition research. $3 3564650
650 4 $a Carbohydrates. $3 522687
650 4 $a Urine. $3 3681463
650 4 $a Diet. $3 626002
650 4 $a Vegetables. $3 818721
650 4 $a Dietary minerals. $3 3564181
650 4 $a Bioavailability. $3 875104
650 4 $a Agriculture. $3 518588
650 4 $a Carbon. $3 604057
650 4 $a Polyphenols. $3 2148267
650 4 $a Chemicals. $3 1637953
650 4 $a Biodegradation. $3 705930
650 4 $a Fruits. $3 3680926
650 4 $a Berries. $3 916831
650 4 $a Metabolites. $3 683644
650 4 $a Agronomy. $3 2122783
650 4 $a Medicine. $3 641104
650 4 $a Nutrition. $3 517777
650 4 $a Public health. $3 534748
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0473
690 $a 0359
690 $a 0285
690 $a 0564
690 $a 0570
690 $a 0573
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a North Carolina State University. $3 1018772
773 0 $t Dissertations Abstracts International $g 84-05B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29781177 $z click for full text (PQDT)