Future prospects for dissecting
inter-individual variability in the absorption, distribution and elimination of plant
bioactives of relevance for cardiometabolic endpoints
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Published:2019-10-23
Issue:S2
Volume:58
Page:21-36
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ISSN:1436-6207
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Container-title:European Journal of Nutrition
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language:en
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Short-container-title:Eur J Nutr
Author:
Landberg Rikard, Manach Claudine, Kerckhof Frederiek-MaartenORCID, Minihane Anne-Marie, Saleh Rasha Noureldin M., De Roos BaukjeORCID, Tomas-Barberan FranciscoORCID, Morand Christine, Van de Wiele TomORCID
Abstract
Abstract
Purpose
The health-promoting potential of food-derived plant bioactive
compounds is evident but not always consistent across studies. Large
inter-individual variability may originate from differences in digestion,
absorption, distribution, metabolism and excretion (ADME). ADME can be modulated
by age, sex, dietary habits, microbiome composition, genetic variation, drug
exposure and many other factors. Within the recent COST Action POSITIVe,
large-scale literature surveys were undertaken to identify the reasons and
extent of inter-individual variability in ADME of selected plant bioactive
compounds of importance to cardiometabolic health. The aim of the present review
is to summarize the findings and suggest a framework for future studies designed
to investigate the etiology of inter-individual variability in plant bioactive
ADME and bioefficacy.
Results
Few studies have reported individual data on the ADME of bioactive
compounds and on determinants such as age, diet, lifestyle, health status and
medication, thereby limiting a mechanistic understanding of the main drivers of
variation in ADME processes observed across individuals. Metabolomics represent
crucial techniques to decipher inter-individual variability and to stratify
individuals according to metabotypes reflecting the intrinsic capacity to absorb
and metabolize bioactive compounds.
Conclusion
A methodological framework was developed to decipher how the
contribution from genetic variants or microbiome variants to ADME of bioactive
compounds can be predicted. Future study design should include (1) a larger
number of study participants, (2) individual and full profiling of all possible
determinants of internal exposure, (3) the presentation of individual ADME data
and (4) incorporation of omics platforms, such as genomics, microbiomics and
metabolomics in ADME and efficacy studies.
Funder
EU - COST Action FA-1403
Publisher
Springer Science and Business Media LLC
Subject
Nutrition and Dietetics,Medicine (miscellaneous)
Reference60 articles.
1. Collins T, Mikkelsen B, Adams J, Chestnov O, Evans T, Feigl A,
Nugent R, Pablos-Mendez A, Srivanichakorn S, Webb D (2018) Addressing NCDs: a
unifying agenda for sustainable development. Global Public Health
13(9):1152–1157.
https://doi.org/10.1080/17441692.2017.1394481 2. Boutayeb A, Boutayeb S (2005) The burden of non communicable
diseases in developing countries. Int J Equity Health 4(1):2.
https://doi.org/10.1186/1475-9276-4-2 3. Afshin A, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, Mullany
EC, Abate KH, Abbafati C, Abebe Z, Afarideh M, Aggarwal A, Agrawal S, Akinyemiju
T, Alahdab F, Bacha U, Bachman VF, Badali H, Badawi A, Bensenor IM, Bernabe E,
Biadgilign SKK, Biryukov SH, Cahill LE, Carrero JJ, Cercy KM, Dandona L, Dandona
R, Dang AK, Degefa MG, El Sayed Zaki M, Esteghamati A, Esteghamati S, Fanzo J,
Farinha CSeS, Farvid MS, Farzadfar F, Feigin VL, Fernandes JC, Flor LS, Foigt
NA, Forouzanfar MH, Ganji M, Geleijnse JM, Gillum RF, Goulart AC, Grosso G,
Guessous I, Hamidi S, Hankey GJ, Harikrishnan S, Hassen HY, Hay SI, Hoang CL,
Horino M, Islami F, Jackson MD, James SL, Johansson L, Jonas JB, Kasaeian A,
Khader YS, Khalil IA, Khang Y-H, Kimokoti RW, Kokubo Y, Kumar GA, Lallukka T,
Lopez AD, Lorkowski S, Lotufo PA, Lozano R, Malekzadeh R, März W, Meier T,
Melaku YA, Mendoza W, Mensink GBM, Micha R, Miller TR, Mirarefin M, Mohan V,
Mokdad AH, Mozaffarian D, Nagel G, Naghavi M, Nguyen CT, Nixon MR, Ong KL,
Pereira DM, Poustchi H, Qorbani M, Rai RK, Razo-García C, Rehm CD, Rivera JA,
Rodríguez-Ramírez S, Roshandel G, Roth GA, Sanabria J, Sánchez-Pimienta TG,
Sartorius B, Schmidhuber J, Schutte AE, Sepanlou SG, Shin M-J, Sorensen RJD,
Springmann M, Szponar L, Thorne-Lyman AL, Thrift AG, Touvier M, Tran BX,
Tyrovolas S, Ukwaja KN, Ullah I, Uthman OA, Vaezghasemi M, Vasankari TJ, Vollset
SE, Vos T, Vu GT, Vu LG, Weiderpass E, Werdecker A, Wijeratne T, Willett WC, Wu
JH, Xu G, Yonemoto N, Yu C, Murray CJL (2019) Health effects of dietary risks in
195 countries, 1990–2017: a systematic analysis for the global burden of disease
study 2017. The Lancet.
https://doi.org/10.1016/s0140-6736(19)30041-8 4. Satija A, Bhupathiraju SN, Rimm EB, Spiegelman D, Chiuve SE, Borgi
L, Willett WC, Manson JE, Sun Q, Hu FB (2016) Plant-based dietary patterns and
incidence of type 2 diabetes in US men and women: results from three prospective
cohort studies. PLoS Med 13(6):e1002039–e1002039.
https://doi.org/10.1371/journal.pmed.1002039 5. Petersen KS, Flock MR, Richter CK, Mukherjea R, Slavin JL,
Kris-Etherton PM (2017) Healthy dietary patterns for preventing cardiometabolic
disease: the role of plant-based foods and animal products. Curr Dev Nutr
1(12):cdn.117.001289.
https://doi.org/10.3945/cdn.117.001289
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