001     148316
005     20240229123031.0
024 7 _ |a 10.1017/S0007114519003131
|2 doi
024 7 _ |a pmid:31791423
|2 pmid
024 7 _ |a 0007-1145
|2 ISSN
024 7 _ |a 1475-2662
|2 ISSN
024 7 _ |a altmetric:71991382
|2 altmetric
037 _ _ |a DKFZ-2019-02874
041 _ _ |a eng
082 _ _ |a 570
100 1 _ |a Tahiri, Iasim
|b 0
245 _ _ |a Urinary flavanone concentrations as biomarkers of dietary flavanone intakes in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.
260 _ _ |a Cambridge
|c 2020
|b Cambridge Univ. Press
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1587461289_30720
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a 2020 Mar 28;123(6):691-698
520 _ _ |a In this study, the aim was to investigate the correlation between the acute and habitual dietary intake of flavanones, and their main food sources, and the concentrations of aglycones naringenin and hesperetin in 24h urine in a European population. A 24-h dietary recall (24-HDR) and a 24-h urine sample were collected the same day from a subsample of 475 people from 4 different countries of the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Acute and habitual dietary data were captured through a standardized 24-HDR and a country/centre-specific validated dietary questionnaire. The intake of dietary flavanones was estimated using the Phenol-Explorer database. Urinary flavanones (naringenin and hesperetin) were analysed using tandem mass spectrometry with a previous enzymatic hydrolysis. Weak partial correlation coefficients were found between urinary flavanone concentrations and both acute and habitual dietary flavanone intakes (Rpartial=0.14-0.17). Partial correlations were stronger between urinary excretions and acute intakes of citrus fruit and juices (Rpartial~0.6) than with habitual intakes of citrus fruit and juices (Rpartial~0.24). In conclusion, according to our results urinary excretion of flavanones can be considered good biomarkers of acute citrus intake. However, low associations between habitual flavanone intake and urinary excretion suggest a possible inaccurate estimation of their intake or a too sporadic intake. For assessing habitual exposures, multiple urinary collections may be needed. These results show that none of the approaches tested is ideal, and the use of both dietary questionnaires and biomarkers can be recommended.
536 _ _ |a 313 - Cancer risk factors and prevention (POF3-313)
|0 G:(DE-HGF)POF3-313
|c POF3-313
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Garro-Aguilar, Yaiza
|b 1
700 1 _ |a Cayssials, Valerie
|b 2
700 1 _ |a Achaintre, David
|b 3
700 1 _ |a Mancini, Francesca Romana
|b 4
700 1 _ |a Mahamat-Saleh, Yahya
|b 5
700 1 _ |a Boutron-Ruault, Marie-Christine
|b 6
700 1 _ |a Kühn, Tilman
|0 P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe
|b 7
|u dkfz
700 1 _ |a Katzke, Verena
|0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
|b 8
|u dkfz
700 1 _ |a Boeing, Heiner
|b 9
700 1 _ |a Trichopoulou, Antonia
|b 10
700 1 _ |a Karakatsani, Anna
|b 11
700 1 _ |a Valanou, Elisavet
|b 12
700 1 _ |a Palli, Domenico
|b 13
700 1 _ |a Sieri, Sabina
|b 14
700 1 _ |a Santucci de Magistris, Maria
|b 15
700 1 _ |a Tumino, Rosario
|b 16
700 1 _ |a Macciotta, Alessandra
|b 17
700 1 _ |a Huybrechts, Inge
|b 18
700 1 _ |a Agudo, Antonio
|b 19
700 1 _ |a Scalbert, Augustin
|b 20
700 1 _ |a Zamora-Ros, Raul
|0 0000-0002-6236-6804
|b 21
773 _ _ |a 10.1017/S0007114519003131
|g p. 1 - 24
|0 PERI:(DE-600)2016047-1
|n 6
|p 691-698
|t British journal of nutrition
|v 123
|y 2020
|x 1475-2662
909 C O |o oai:inrepo02.dkfz.de:148316
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-313
|2 G:(DE-HGF)POF3-300
|v Cancer risk factors and prevention
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2020
915 _ _ |a Allianz-Lizenz / DFG
|0 StatID:(DE-HGF)0400
|2 StatID
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BRIT J NUTR : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l C020 Epidemiologie von Krebs
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21