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@article{Cheung:2017:10.3945/ajcn.116.146639,
author = {Cheung, W and Keski-Rahkonen, P and Assi, N and Ferrari, P and Freisling, H and Rinaldi, S and Slimani, N and Zamora-Ros, R and Rundle, M and Frost, G and Gibbons, H and Carr, E and Brennan, L and Cross, AJ and Pala, V and Panico, S and Sacerdote, C and Palli, D and Tumino, R and Kuehn, T and Kaaks, R and Boeing, H and Floegel, A and Mancini, F and Boutron-Ruault, M-C and Baglietto, L and Trichopoulou, A and Naska, A and Orfanos, P and Scalbert, A},
doi = {10.3945/ajcn.116.146639},
journal = {American Journal of Clinical Nutrition},
pages = {600--608},
title = {A metabolomic study of biomarkers of meat and fish intake},
url = {http://dx.doi.org/10.3945/ajcn.116.146639},
volume = {105},
year = {2017}
}

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TY  - JOUR
AB  - Background: Meat and fish intakes have been associated with various chronic diseases. The use of specific biomarkers may help to assess meat and fish intake and improve subject classification according to the amount and type of meat or fish consumed.Objective: A metabolomic approach was applied to search for biomarkers of meat and fish intake in a dietary intervention study and in free-living subjects from the European Prospective Investigation into Cancer and Nutrition (EPIC) study.Design: In the dietary intervention study, 4 groups of 10 subjects consumed increasing quantities of chicken, red meat, processed meat, and fish over 3 successive weeks. Twenty-four-hour urine samples were collected during each period and analyzed by high-resolution liquid chromatography–mass spectrometry. Signals characteristic of meat or fish intake were replicated in 50 EPIC subjects for whom a 24-h urine sample and 24-h dietary recall were available and who were selected for their exclusive intake or no intake of any of the 4 same foods.Results: A total of 249 mass spectrometric features showed a positive dose-dependent response to meat or fish intake in the intervention study. Eighteen of these features best predicted intake of the 4 food groups in the EPIC urine samples on the basis of partial receiver operator curve analyses with permutation testing (areas under the curve ranging between 0.61 and 1.0). Of these signals, 8 metabolites were identified. Anserine was found to be specific for chicken intake, whereas trimethylamine-N-oxide showed good specificity for fish. Carnosine and 3 acylcarnitines (acetylcarnitine, propionylcarnitine, and 2-methylbutyrylcarnitine) appeared to be more generic indicators of meat and meat and fish intake, respectively.Conclusion: The meat and fish biomarkers identified in this work may be used to study associations between meat and fish intake and disease risk in epidemiologic studies. This trial was registered at clinicaltrials.gov as NCT01684
AU  - Cheung,W
AU  - Keski-Rahkonen,P
AU  - Assi,N
AU  - Ferrari,P
AU  - Freisling,H
AU  - Rinaldi,S
AU  - Slimani,N
AU  - Zamora-Ros,R
AU  - Rundle,M
AU  - Frost,G
AU  - Gibbons,H
AU  - Carr,E
AU  - Brennan,L
AU  - Cross,AJ
AU  - Pala,V
AU  - Panico,S
AU  - Sacerdote,C
AU  - Palli,D
AU  - Tumino,R
AU  - Kuehn,T
AU  - Kaaks,R
AU  - Boeing,H
AU  - Floegel,A
AU  - Mancini,F
AU  - Boutron-Ruault,M-C
AU  - Baglietto,L
AU  - Trichopoulou,A
AU  - Naska,A
AU  - Orfanos,P
AU  - Scalbert,A
DO  - 10.3945/ajcn.116.146639
EP  - 608
PY  - 2017///
SN  - 0002-9165
SP  - 600
TI  - A metabolomic study of biomarkers of meat and fish intake
T2  - American Journal of Clinical Nutrition
UR  - http://dx.doi.org/10.3945/ajcn.116.146639
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000398931500008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/48694
VL  - 105
ER  -

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