001     143835
005     20240229123017.0
024 7 _ |a 10.1007/s00394-019-02005-5
|2 doi
024 7 _ |a pmid:31119398
|2 pmid
024 7 _ |a 0044-264X
|2 ISSN
024 7 _ |a 1435-1293
|2 ISSN
024 7 _ |a 1436-6207
|2 ISSN
024 7 _ |a 1436-6215
|2 ISSN
037 _ _ |a DKFZ-2019-01397
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Garro-Aguilar, Yaiza
|0 0000-0002-6236-6804
|b 0
245 _ _ |a Correlations between urinary concentrations and dietary intakes of flavonols in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.
260 _ _ |a Heidelberg
|c 2020
|b Springer
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 1597225762_3553
|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 Jun;59(4):1481-1492
520 _ _ |a In this study, we aimed to study the correlation between acute and habitual intakes of flavonols, their main food sources and their 24-h urinary concentrations in an European population.A 24-h dietary recall (24-HDR) and 24-h urine samples were collected on the same day from a convenience subsample of 475 men and women from four countries (France, Italy, Greece and Germany) of the European Prospective Investigation into Cancer and Nutrition (EPIC) study. A standardized 24-HDR software and a country/centre-specific validated dietary questionnaire (DQ) were used to collect acute and habitual dietary data, respectively. The intake of dietary flavonols was estimated using the Phenol-Explorer database. Urinary flavonols (quercetin, isorhamnetin, and kaempferol) were analysed using tandem mass spectrometry with a previous enzymatic hydrolysis.Weak partial Spearman correlations between both dietary acute and habitual intake and urinary concentrations of quercetin (both Rpartial ~ 0.3) and total flavonols (both Rpartial ~ 0.2) were observed. No significant correlations were found for kaempferol and isorhamentin. Regarding flavonol-rich foods, weak correlations were found between urinary concentrations of quercetin and total flavonols and the acute intake of onions and garlics, fruits, tea, and herbal tea (all Rpartial ~ 0.2). For habitual intake, statistically significant correlations were only found between urinary quercetin concentration and herbal tea (Rpartial = 0.345) and between urinary total flavonol concentration and tea, and herbal tea consumption (Rpartial ~ 0.2).Our results suggest that urinary quercetin level can be used as potential concentration biomarkers of both acute and habitual quercetin intake, while urinary concentrations of flavonols are unlikely to be useful biomarkers of individual flavonol-rich foods.
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 Cayssials, Valerie
|b 1
700 1 _ |a Achaintre, David
|b 2
700 1 _ |a Boeing, Heiner
|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 Trichopoulou, Antonia
|b 9
700 1 _ |a Karakatsani, Anna
|b 10
700 1 _ |a Thriskos, Paschalis
|b 11
700 1 _ |a Masala, Giovanna
|b 12
700 1 _ |a Grioni, Sara
|b 13
700 1 _ |a Santucci de Magistris, Maria
|b 14
700 1 _ |a Tumino, Rosario
|b 15
700 1 _ |a Ricceri, Fulvio
|b 16
700 1 _ |a Huybrechts, Inge
|b 17
700 1 _ |a Agudo, Antonio
|b 18
700 1 _ |a Scalbert, Augustin
|b 19
700 1 _ |a Zamora-Ros, Raul
|b 20
773 _ _ |a 10.1007/s00394-019-02005-5
|0 PERI:(DE-600)1463312-7
|n 4
|p 1481-1492
|t European journal of nutrition
|v 59
|y 2020
|x 1436-6215
909 C O |o oai:inrepo02.dkfz.de:143835
|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 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)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b EUR J NUTR : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
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)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