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Annual Review of Food Science and Technology

Volume 12, 2021

Polyphenol Exposure, Metabolism, and Analysis: A Global Exposomics Perspective

Abstract

Polyphenols are generally known for their health benefits and estimating actual exposure levels in health-related studies can be improved by human biomonitoring. Here, the application of newly available exposomic and metabolomic technology, notably high-resolution mass spectrometry, in the context of polyphenols and their biotransformation products, is reviewed. Comprehensive workflows for investigating these important bioactives in biological fluids or microbiome-related experiments are scarce. Consequently, this new era of nontargeted analysis and omic-scale exposure assessment offers a unique chance for better assessing exposure to, as well as metabolism of, polyphenols. In clinical and nutritional trials, polyphenols can be investigated simultaneously with the plethora of other chemicals to which we are exposed, i.e., the exposome, which may interact abundantly and modulate bioactivity. This research direction aims at ultimately eluting into atrue systems biology/toxicology evaluation of health effects associated with polyphenol exposure, especially during early life, to unravel their potential for preventing chronic diseases.

Keyword(s): biotransformation, exposome, food bioactives, food metabolomics, human biomonitoring, microbiome, polyphenols
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2021-03-25
2024-06-02
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Literature Cited

  1. Achaintre D, Gicquiau A, Li L, Rinaldi S, Scalbert A 2018. Quantification of 38 dietary polyphenols in plasma by differential isotope labelling and liquid chromatography electrospray ionization tandem mass spectrometry. J. Chromatogr. A. 1558:50–58
     [Google Scholar]
  2. Actis-Goretta L, Lévèques A, Giuffrida F, Romanov-Michailidis F, Viton F et al. 2012. Elucidation of (−)-epicatechin metabolites after ingestion of chocolate by healthy humans. Free Radic. Biol. Med. 53:4787–95
     [Google Scholar]
  3. Alldritt I, Whitham-Agut B, Sipin M, Studholme J, Trentacoste A et al. 2019. Metabolomics reveals diet-derived plant polyphenols accumulate in physiological bone. Sci. Rep. 9:8047
     [Google Scholar]
  4. Almeida AF, Borge GIA, Piskula M, Tudose A, Tudoreanu L et al. 2018. Bioavailability of quercetin in humans with a focus on interindividual variation. Compr. Rev. Food Sci. Food Saf. 17:3714–31
     [Google Scholar]
  5. Anantharaju PG, Gowda PC, Vimalambike MG, Madhunapantula SV 2016. An overview on the role of dietary phenolics for the treatment of cancers. Nutr. J. 15:199
     [Google Scholar]
  6. Andra SS, Austin C, Wright RO, Arora M 2015. Reconstructing pre-natal and early childhood exposure to multi-class organic chemicals using teeth: towards a retrospective temporal exposome. Environ. Int. 83:137–45
     [Google Scholar]
  7. Ávila‐Gálvez MÁ, García‐Villalba R, Martínez‐Díaz F, Ocaña‐Castillo B, Monedero‐Saiz T et al. 2019. Metabolic profiling of dietary polyphenols and methylxanthines in normal and malignant mammary tissues from breast cancer patients. Mol. Nutr. Food Res. 63:91801239
     [Google Scholar]
  8. Bocato MZ, Ximenez JPB, Hoffmann C, Barbosa F 2019. An overview of the current progress, challenges, and prospects of human biomonitoring and exposome studies. J. Toxicol. Environ. Health B 22:5–6131–56
     [Google Scholar]
  9. Care AS, Sung MM, Panahi S, Gragasin FS, Dyck JRB et al. 2016. Perinatal resveratrol supplementation to spontaneously hypertensive rat dams mitigates the development of hypertension in adult offspring. Hypertension 67:51038–44
     [Google Scholar]
  10. Carry E, Zhao D, Mogno I, Faith J, Ho L et al. 2018. Targeted analysis of microbial-generated phenolic acid metabolites derived from grape flavanols by gas chromatography–triple quadrupole mass spectrometry. J. Pharm. Biomed. Anal. 159:374–83
     [Google Scholar]
  11. Clavel T, Lepage P, Charrier C 2014. The Family Coriobacteriaceae. The Prokaryotes: Actinobacteria E Rosenberg, EF DeLong, S Lory, E Stackebrandt, F Thompson 201–38 Berlin: Springer
     [Google Scholar]
  12. Crozier A, Jaganath IB, Clifford MN 2009. Dietary phenolics: chemistry, bioavailability and effects on health. Nat. Prod. Rep. 26:81001–43
     [Google Scholar]
  13. de Ferrars RM, Czank C, Saha S, Needs PW, Zhang Q et al. 2014. Methods for isolating, identifying, and quantifying anthocyanin metabolites in clinical samples. Anal. Chem. 86:2010052–58
     [Google Scholar]
  14. de Roos B, Duthie GG 2015. Role of dietary pro-oxidants in the maintenance of health and resilience to oxidative stress. Mol. Nutr. Food Res. 59:71229–48
     [Google Scholar]
  15. de Santiago E, Gill CIR, Carafa I, Tuohy KM, De Peña M-P, Cid C 2019. Digestion and colonic fermentation of raw and cooked Opuntia ficus-indica cladodes impacts bioaccessibility and bioactivity. J. Agric. Food Chem. 67:92490–99
     [Google Scholar]
  16. DeGraft‐Johnson J, Kolodziejczyk K, Krol M, Nowak P, Krol B, Nowak D 2007. Ferric-reducing ability power of selected plant polyphenols and their metabolites: implications for clinical studies on the antioxidant effects of fruits and vegetable consumption. Basic Clin. Pharmacol. Toxicol. 100:5345–52
     [Google Scholar]
  17. del Rio D, Rodriguez-Mateos A, Spencer JPE, Tognolini M, Borges G, Crozier A 2012. Dietary (poly)phenolics in human health: structures, bioavailability, and evidence of protective effects against chronic diseases. Antioxid. Redox Signal. 18:141818–92
     [Google Scholar]
  18. Dennis KK, Marder E, Balshaw DM, Cui Y, Lynes MA et al. 2017. Biomonitoring in the era of the exposome. Environ. Health Perspect. 125:4502–10
     [Google Scholar]
  19. Déprez S, Brezillon C, Rabot S, Philippe C, Mila I et al. 2000. Polymeric proanthocyanidins are catabolized by human colonic microflora into low-molecular-weight phenolic acids. J. Nutr. 130:112733–38
     [Google Scholar]
  20. Devi KP, Malar DS, Nabavi SF, Sureda A, Xiao J et al. 2015. Kaempferol and inflammation: from chemistry to medicine. Pharmacol. Res. 99:1–10
     [Google Scholar]
  21. Dhananjaya BL, Nataraju A, Rajesh R, Gowda RCD, Sharath BK et al. 2006. Anticoagulant effect of Naja naja venom 5′nucleotidase: demonstration through the use of novel specific inhibitor, vanillic acid. Toxicon 48:4411–21
     [Google Scholar]
  22. Duda-Chodak A, Tarko T, Satora P, Sroka P 2015. Interaction of dietary compounds, especially polyphenols, with the intestinal microbiota: a review. Eur. J. Nutr. 54:3325–41
     [Google Scholar]
  23. Edmands WM, Ferrari P, Rothwell JA, Rinaldi S, Slimani N et al. 2015. Polyphenol metabolome in human urine and its association with intake of polyphenol-rich foods across European countries. Am. J. Clin. Nutr. 102:4905–13
     [Google Scholar]
  24. Emwas A-HM. 2015. The strengths and weaknesses of NMR spectroscopy and mass spectrometry with particular focus on metabolomics research. Metabonomics: Methods and Protocols JT Bjerrum 161–93 New York: Springer
     [Google Scholar]
  25. Etxeberria U, Fernández-Quintela A, Milagro FI, Aguirre L, Martínez JA, Portillo MP 2013. Impact of polyphenols and polyphenol-rich dietary sources on gut microbiota composition. J. Agric. Food Chem. 61:409517–33
     [Google Scholar]
  26. Fahrioğlu U, Dodurga Y, Elmas L, Seçme M 2016. Ferulic acid decreases cell viability and colony formation while inhibiting migration of MIA PaCa-2 human pancreatic cancer cells in vitro. Gene 576:1476–82
     [Google Scholar]
  27. Figueira I, Menezes R, Macedo D, Costa I, Nunes dos Santos C 2017. Polyphenols beyond barriers: a glimpse into the brain. Curr. Neuropharmacol. 15:4562–94
     [Google Scholar]
  28. Flasch M, Bueschl C, Woelflingseder L, Schwartz-Zimmermann HE, Adam G et al. 2020. Stable isotope-assisted metabolomics for deciphering xenobiotic metabolism in mammalian cell culture. ACS Chem. Biol. 15:4970–81
     [Google Scholar]
  29. Frolinger T, Sims S, Smith C, Wang J, Cheng H et al. 2019. The gut microbiota composition affects dietary polyphenols-mediated cognitive resilience in mice by modulating the bioavailability of phenolic acids. Sci. Rep. 9:3546
     [Google Scholar]
  30. Garcia‐Aloy M, Llorach R, Urpi‐Sarda M, Jáuregui O, Corella D et al. 2015. A metabolomics-driven approach to predict cocoa product consumption by designing a multimetabolite biomarker model in free-living subjects from the PREDIMED study. Mol. Nutr. Food Res. 59:2212–20
     [Google Scholar]
  31. García-Villalba R, Selma MV, Espín JC, Tomás-Barberán FA 2019. Identification of novel urolithin metabolites in human feces and urine after the intake of a pomegranate extract. J. Agric. Food Chem. 67:4011099–107
     [Google Scholar]
  32. Gleichenhagen M, Schieber A. 2016. Current challenges in polyphenol analytical chemistry. Curr. Opin. Food Sci. 7:43–49
     [Google Scholar]
  33. Gowd V, Karim N, Shishir MRI, Xie L, Chen W 2019. Dietary polyphenols to combat the metabolic diseases via altering gut microbiota. Trends Food Sci. Technol. 93:81–93
     [Google Scholar]
  34. Granato D, Mocan A, Câmara JS 2020. Is a higher ingestion of phenolic compounds the best dietary strategy? A scientific opinion on the deleterious effects of polyphenols in vivo. Trends Food Sci. Technol. 98:162–66
     [Google Scholar]
  35. Grün CH, van Dorsten FA, Jacobs DM, Le Belleguic M, van Velzen EJJ et al. 2008. GC-MS methods for metabolic profiling of microbial fermentation products of dietary polyphenols in human and in vitro intervention studies. J. Chromatogr. B 871:2212–19
     [Google Scholar]
  36. Guan S, Ge D, Liu T-Q, Ma X-H, Cui Z-F 2009. Protocatechuic acid promotes cell proliferation and reduces basal apoptosis in cultured neural stem cells. Toxicol. In Vitro 23:2201–8
     [Google Scholar]
  37. Gul I, Ahmad MS, Naqvi SMS, Hussain A, Wali R et al. 2017. Polyphenol oxidase (PPO) based biosensors for detection of phenolic compounds: a review. J. Appl. Biol. Biotech. 5:372–85
     [Google Scholar]
  38. Gutiérrez-Díaz I, Fernández-Navarro T, Salazar N, Bartolomé B, Moreno-Arribas MV et al. 2017. Adherence to a Mediterranean diet influences the fecal metabolic profile of microbial-derived phenolics in a Spanish Cohort of middle-age and older people. J. Agric. Food Chem. 65:3586–95
     [Google Scholar]
  39. Hakeem Said I, Truex JD, Heidorn C, Retta MB, Petrov DD et al. 2020. LC-MS/MS based molecular networking approach for the identification of cocoa phenolic metabolites in human urine. Food Res. Int. 132:109119
     [Google Scholar]
  40. Han Y, Xiao H. 2020. Whole food-based approaches to modulating gut microbiota and associated diseases. Annu. Rev. Food. Sci. Technol. 11:119–43
     [Google Scholar]
  41. Heleno SA, Martins A, Queiroz MJRP, Ferreira ICFR 2015. Bioactivity of phenolic acids: metabolites versus parent compounds: a review. Food Chem 173:501–13
     [Google Scholar]
  42. Hodgson JM, Chan SY, Puddey IB, Devine A, Wattanapenpaiboon N et al. 2004. Phenolic acid metabolites as biomarkers for tea- and coffee-derived polyphenol exposure in human subjects. Br. J. Nutr. 91:2301–5
     [Google Scholar]
  43. Hsu H-HL, Chiu Y-HM, Coull BA, Kloog I, Schwartz J et al. 2015. Prenatal particulate air pollution and asthma onset in urban children. Identifying sensitive windows and sex differences. Am. J. Respir. Crit. Care Med. 192:91052–59
     [Google Scholar]
  44. Hullar MAJ, Burnett-Hartman AN, Lampe JW 2014. Gut microbes, diet, and cancer. Cancer Treat. Res. 159:377–99
     [Google Scholar]
  45. Ito H, Gonthier M-P, Manach C, Morand C, Mennen L et al. 2005. Polyphenol levels in human urine after intake of six different polyphenol-rich beverages. Br. J. Nutr. 94:4500–9
     [Google Scholar]
  46. Jarosova V, Vesely O, Marsik P, Jaimes JD, Smejkal K et al. 2019. Metabolism of stilbenoids by human faecal microbiota. Molecules 24:61155
     [Google Scholar]
  47. Kahkeshani N, Farzaei F, Fotouhi M, Alavi SS, Bahramsoltani R et al. 2019. Pharmacological effects of gallic acid in health and diseases: a mechanistic review. Iran. J. Basic Med. Sci. 22:3225–37
     [Google Scholar]
  48. Kalt W, McDonald JE, Liu Y, Fillmore SAE 2017. Flavonoid metabolites in human urine during blueberry anthocyanin intake. J. Agric. Food Chem. 65:81582–91
     [Google Scholar]
  49. Kampatsikas I, Bijelic A, Pretzler M, Rompel A 2019. A peptide-induced self-cleavage reaction initiates the activation of tyrosinase. Angew. Chem. Int. Ed. 58:227475–79
     [Google Scholar]
  50. Kelly D, King T, Aminov R 2007. Importance of microbial colonization of the gut in early life to the development of immunity. Mutat. Res. 622:158–69
     [Google Scholar]
  51. Khan SA, Chatterjee SS, Kumar V 2016. Low dose aspirin like analgesic and anti-inflammatory activities of mono-hydroxybenzoic acids in stressed rodents. Life Sci 148:53–62
     [Google Scholar]
  52. Khorasani MY, Langari H, Sany SBT, Rezayi M, Sahebkar A 2019. The role of curcumin and its derivatives in sensory applications. Mater. Sci. Eng. C 103:109792
     [Google Scholar]
  53. Kyselova Z. 2011. Toxicological aspects of the use of phenolic compounds in disease prevention. Interdiscip. Toxicol. 4:4173–83
     [Google Scholar]
  54. Lee CC, Kim JH, Kim JS, Oh YS, Han SM et al. 2017. 5-(3′,4′-Dihydroxyphenyl-γ-valerolactone), a major microbial metabolite of proanthocyanidin, attenuates THP-1 monocyte-endothelial adhesion. Int. J. Mol. Sci. 18:71363
     [Google Scholar]
  55. Lin Z-S, Ku CF, Guan Y-F, Xiao H-T, Shi X-K et al. 2016. Dihydro-resveratrol ameliorates lung injury in rats with cerulein-induced acute pancreatitis. Phytother. Res. 30:4663–70
     [Google Scholar]
  56. Magiera S, Baranowska I, Kusa J 2012. Development and validation of UHPLC-ESI-MS/MS method for the determination of selected cardiovascular drugs, polyphenols and their metabolites in human urine. Talanta 89:47–56
     [Google Scholar]
  57. Manach C, Williamson G, Morand C, Scalbert A, Rémésy C 2005. Bioavailability and bioefficacy of polyphenols in humans. I. Review of 97 bioavailability studies. Am. J. Clin. Nutr. 81:1230S–42
     [Google Scholar]
  58. Mancuso C, Scapagnini G, Currò D, Giuffrida Stella AM, de Marco C et al. 2007. Mitochondrial dysfunction, free radical generation and cellular stress response in neurodegenerative disorders. Front. Biosci. 12:11107–23
     [Google Scholar]
  59. Marín L, Miguélez EM, Villar CJ, Lombó F 2015. Bioavailability of dietary polyphenols and gut microbiota metabolism: antimicrobial properties. BioMed Res. Int. 2015:905215
     [Google Scholar]
  60. Martin HJ, Kampatsikas I, Oost R, Pretzler M, Al-Sayed E et al. 2018. Total synthesis stereochemical assignment, and divergent enantioselective enzymatic recognition of larreatricin. Chem. Eur. J. 24:15756–60
     [Google Scholar]
  61. Martin KR. 2009. Polyphenols as dietary supplements: a double-edged sword. Nutr. Diet. Suppl. 2:1–12
     [Google Scholar]
  62. Moco S, Martin F-PJ, Rezzi S 2012. Metabolomics view on gut microbiome modulation by polyphenol-rich foods. J. Proteome Res. 11:104781–90
     [Google Scholar]
  63. Muñoz-González I, Jiménez-Girón A, Martín-Álvarez PJ, Bartolomé B, Moreno-Arribas MV 2013. Profiling of microbial-derived phenolic metabolites in human feces after moderate red wine intake. J. Agric. Food Chem. 61:399470–79
     [Google Scholar]
  64. Neveu V, Perez-Jiménez J, Vos F, Crespy V, du Chaffaut L et al. 2010. Phenol-Explorer: an online comprehensive database on polyphenol contents in foods. Database 2010.bap024
     [Google Scholar]
  65. Ordóñez JL, Pereira-Caro G, Ludwig I, Muñoz-Redondo JM, Ruiz-Moreno MJ et al. 2018. A critical evaluation of the use of gas chromatography- and high performance liquid chromatography-mass spectrometry techniques for the analysis of microbial metabolites in human urine after consumption of orange juice. J. Chromatogr. A. 1575:100–12
     [Google Scholar]
  66. Osmond C, Barker DJ. 2000. Fetal, infant, and childhood growth are predictors of coronary heart disease, diabetes, and hypertension in adult men and women. Environ. Health Perspect. 108:Suppl. 3545–53
     [Google Scholar]
  67. Ottaviani JI, Fong RY, Borges G, Schroeter H, Crozier A 2018. Use of LC-MS for the quantitative analysis of (poly)phenol metabolites does not necessarily yield accurate results: implications for assessing existing data and conducting future research. Free Radic. Biol. Med. 124:97–103
     [Google Scholar]
  68. Panis F, Kampatsikas I, Bijelic A, Rompel A 2020. Conversion of walnut tyrosinase into a catechol oxidase by site directed mutagenesis. Sci. Rep. 10:1659
     [Google Scholar]
  69. Paul B, Royston KJ, Li Y, Stoll ML, Skibola CF et al. 2017. Impact of genistein on the gut microbiome of humanized mice and its role in breast tumor inhibition. PLOS ONE 12:12e0189756
     [Google Scholar]
  70. Pretzler M, Bijelic A, Rompel A 2017. Heterologous expression and characterization of functional mushroom tyrosinase (AbPPO4). Sci. Rep. 7:1810
     [Google Scholar]
  71. Queiroz C, Lopes MLM, Fialho E, Valente-Mesquita VL 2008. Polyphenol oxidase: characteristics and mechanisms of browning control. Food Rev. Int. 24:4361–75
     [Google Scholar]
  72. Rios LY, Gonthier M-P, Rémésy C, Mila I, Lapierre C et al. 2003. Chocolate intake increases urinary excretion of polyphenol-derived phenolic acids in healthy human subjects. Am. J. Clin. Nutr. 77:4912–18
     [Google Scholar]
  73. Rocchetti G, Bhumireddy SR, Giuberti G, Mandal R, Lucini L, Wishart DS 2019. Edible nuts deliver polyphenols and their transformation products to the large intestine: an in vitro fermentation model combining targeted/untargeted metabolomics. Food Res. Int. 116:786–94
     [Google Scholar]
  74. Rocchetti G, Pagnossa JP, Blasi F, Cossignani L, Hilsdorf Piccoli R et al. 2020. Phenolic profiling and in vitro bioactivity of Moringa oleifera leaves as affected by different extraction solvents. Food Res. Int. 127:108712
     [Google Scholar]
  75. Rothwell JA, Perez-Jimenez J, Neveu V, Medina-Remón A, M'Hiri N et al. 2013. Phenol-Explorer 3.0: a major update of the Phenol-Explorer database to incorporate data on the effects of food processing on polyphenol content. Database 2013.bat070
     [Google Scholar]
  76. Roura E, Andrés-Lacueva C, Jáuregui O, Badia E, Estruch R et al. 2005. Rapid liquid chromatography tandem mass spectrometry assay to quantify plasma (−)-epicatechin metabolites after ingestion of a standard portion of cocoa beverage in humans. J. Agric. Food Chem. 53:166190–94
     [Google Scholar]
  77. Sánchez-Patán F, Cueva C, Monagas M, Walton GE, Gibson GR et al. 2012. Gut microbial catabolism of grape seed flavan-3-ols by human faecal microbiota. Targetted analysis of precursor compounds, intermediate metabolites and end-products. Food Chem 131:1337–47
     [Google Scholar]
  78. Sandhu AK, Miller MG, Thangthaeng N, Scott TM, Shukitt-Hale B et al. 2018. Metabolic fate of strawberry polyphenols after chronic intake in healthy older adults. Food Funct 9:196–106
     [Google Scholar]
  79. Santangelo R, Silvestrini A, Mancuso C 2019. Ginsenosides, catechins, quercetin and gut microbiota: current evidence of challenging interactions. Food Chem. Toxicol. 123:42–49
     [Google Scholar]
  80. Scalbert A, Brennan L, Fiehn O, Hankemeier T, Kristal BS et al. 2009. Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research. Metabolomics 5:4435
     [Google Scholar]
  81. Scalbert A, Brennan L, Manach C, Andres-Lacueva C, Dragsted LO et al. 2014. The food metabolome: a window over dietary exposure. Am. J. Clin. Nutr. 99:61286–308
     [Google Scholar]
  82. Selevan SG, Kimmel CA, Mendola P 2000. Identifying critical windows of exposure for children's health. Environ. Health Perspect. 108:suppl 3451–55
     [Google Scholar]
  83. Setchell KDR, Clerici C. 2010. Equol: history, chemistry, and formation. J. Nutr. 140:71355S–62S
     [Google Scholar]
  84. Shahidi F, Yeo J. 2018. Bioactivities of phenolics by focusing on suppression of chronic diseases: a review. Int. J. Mol. Sci. 19:61573
     [Google Scholar]
  85. Shao B, Li H, Shen J, Wu Y 2019. Nontargeted detection methods for food safety and integrity. Annu. Rev. Food Sci. Technol. 10:429–55
     [Google Scholar]
  86. Silva LBAR, Pinheiro-Castro N, Novaes GM, de Freitas Laiber Pascoal G, Ong TP 2019. Bioactive food compounds, epigenetics and chronic disease prevention: focus on early-life interventions with polyphenols. Food Res. Int. 125:108646
     [Google Scholar]
  87. Singh R, Chandrashekharappa S, Bodduluri SR, Baby BV, Hegde B et al. 2019. Enhancement of the gut barrier integrity by a microbial metabolite through the Nrf2 pathway. Nat. Commun. 10:189
     [Google Scholar]
  88. Smolders R, Schramm K-W, Nickmilder M, Schoeters G 2009. Applicability of non-invasively collected matrices for human biomonitoring. Environ. Health. 8:18
     [Google Scholar]
  89. Stevens JF, Maier CS. 2016. The chemistry of gut microbial metabolism of polyphenols. Phytochem. Rev. 15:3425–44
     [Google Scholar]
  90. Stiemsma LT, Michels KB. 2018. The role of the microbiome in the developmental origins of health and disease. Pediatrics 141:4e20172437
     [Google Scholar]
  91. Sulpizio C, Breibeck J, Rompel A 2018. Recent progress in synthesis and characterization of metal chalcone complexes and their potential as bioactive agents. Coord. Chem. Rev. 374:497–524
     [Google Scholar]
  92. Sumner LW, Amberg A, Barrett D, Beale MH, Beger R et al. 2007. Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI). Metabolomics 3:3211–21
     [Google Scholar]
  93. Svilar L, Martin J-C, Defoort C, Paut C, Tourniaire F, Brochot A 2019. Quantification of trans-resveratrol and its metabolites in human plasma using ultra-high performance liquid chromatography tandem quadrupole-orbitrap mass spectrometry. J. Chromatogr. B. 1104:119–29
     [Google Scholar]
  94. Teixeira LL, Costa GR, Dörr FA, Ong TP, Pinto E et al. 2017. Potential antiproliferative activity of polyphenol metabolites against human breast cancer cells and their urine excretion pattern in healthy subjects following acute intake of a polyphenol-rich juice of grumixama (Eugenia brasiliensis Lam.). Food Funct 8:62266–74
     [Google Scholar]
  95. Ulaszewska MM, Koutsos A, Trošt K, Stanstrup J, Garcia-Aloy M et al. 2020. Two apples a day modulate human:microbiome co-metabolic processing of polyphenols, tyrosine and tryptophan. Eur. J. Nutr. 59:3691–714
     [Google Scholar]
  96. Urpi-Sarda M, Monagas M, Khan N, Lamuela-Raventos RM, Santos-Buelga C et al. 2009. Epicatechin, procyanidins, and phenolic microbial metabolites after cocoa intake in humans and rats. Anal. Bioanal. Chem. 394:61545–56
     [Google Scholar]
  97. Varoni EM, Vitalini S, Contino D, Lodi G, Simonetti P et al. 2013. Effects of red wine intake on human salivary antiradical capacity and total polyphenol content. Food Chem. Toxicol. 58:289–94
     [Google Scholar]
  98. Vernocchi P, del Chierico F, Putignani L 2016. Gut microbiota profiling: metabolomics based approach to unravel compounds affecting human health. Front. Microbiol. 7:1144
     [Google Scholar]
  99. Wadhwa PD, Buss C, Entringer S, Swanson JM 2009. Developmental origins of health and disease: brief history of the approach and current focus on epigenetic mechanisms. Semin. Reprod. Med. 27:5358–68
     [Google Scholar]
  100. Wallace MAG, Kormos TM, Pleil JD 2016. Blood-borne biomarkers and bioindicators for linking exposure to health effects in environmental health science. J. Toxicol. Environ. Health B 19:8380–409
     [Google Scholar]
  101. Warri A, Saarinen NM, Makela S, Hilakivi-Clarke L 2008. The role of early life genistein exposures in modifying breast cancer risk. Br. J. Cancer 98:91485–93
     [Google Scholar]
  102. Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K et al. 2018. HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res 46:D1D608–17
     [Google Scholar]
  103. Wu AH, Yu MC, Tseng C-C, Pike MC 2008. Epidemiology of soy exposures and breast cancer risk. Br. J. Cancer 98:19–14
     [Google Scholar]
  104. Wu X, Cao G, Prior RL 2002. Absorption and metabolism of anthocyanins in elderly women after consumption of elderberry or blueberry. J. Nutr. 132:71865–71
     [Google Scholar]
  105. Zhao D, Yuan B, Carry E, Pasinetti GM, Ho L et al. 2018. Development and validation of an ultra-high performance liquid chromatography/triple quadrupole mass spectrometry method for analyzing microbial-derived grape polyphenol metabolites. J. Chromatogr. B. 1099:34–45
     [Google Scholar]
  106. Zhong S, Sandhu A, Edirisinghe I, Burton‐Freeman B 2017. Characterization of wild blueberry polyphenols bioavailability and kinetic profile in plasma over 24-h period in human subjects. Mol. Nutr. Food Res. 61:121700405
     [Google Scholar]
  107. Zhu Y, Yin Q, Yang Y 2020. Comprehensive investigation of Moringa oleifera from different regions by simultaneous determination of 11 polyphenols using UPLC-ESI-MS/MS. Molecules 25:3676
     [Google Scholar]
  108. Ziaullah, Vasantha Rupasinghe HP 2015. Application of NMR spectroscopy in plant polyphenols associated with human health. Applications of NMR Spectroscopy 2 A ur-Rahman, MI Choudhary 3–92 Sharah, UAE: Bentham Sci. Publ.
     [Google Scholar]
  109. Zielinsky P, Piccoli AL Jr, Manica JL, Nicoloso LH, Menezes H et al. 2010. Maternal consumption of polyphenol-rich foods in late pregnancy and fetal ductus arteriosus flow dynamics. J. Perinatol. 30:117–21
     [Google Scholar]
  110. Zielinsky P, Piccoli AL Jr, Vian I, Zílio AM, Naujorks AA et al. 2013. Maternal restriction of polyphenols and fetal ductal dynamics in normal pregnancy: an open clinical trial. Arq. Bras. Cardiol. 101:3217–25
     [Google Scholar]
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Polyphenol Exposure, Metabolism, and Analysis: A Global Exposomics Perspective
Annual Review of Food Science and Technology 12, 461 (2021); https://doi.org/10.1146/annurev-food-062220-090807
/content/journals/10.1146/annurev-food-062220-090807
/content/journals/10.1146/annurev-food-062220-090807
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