Home > Publications database > Plasma Concentration of 36 (Poly)phenols and Prospective Body Weight Change in Participants from the EPIC Cohort. > print |
001 | 289229 | ||
005 | 20240425122530.0 | ||
024 | 7 | _ | |a 10.1159/000535803 |2 doi |
024 | 7 | _ | |a pmid:38272006 |2 pmid |
024 | 7 | _ | |a 0250-6807 |2 ISSN |
024 | 7 | _ | |a 0029-6678 |2 ISSN |
024 | 7 | _ | |a 0550-4031 |2 ISSN |
024 | 7 | _ | |a 1421-9697 |2 ISSN |
024 | 7 | _ | |a 2571-6492 |2 ISSN |
024 | 7 | _ | |a 2571-6506 |2 ISSN |
037 | _ | _ | |a DKFZ-2024-00663 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Gil-Lespinard, Mercedes |b 0 |
245 | _ | _ | |a Plasma Concentration of 36 (Poly)phenols and Prospective Body Weight Change in Participants from the EPIC Cohort. |
260 | _ | _ | |a Basel |c 2024 |b Karger |
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 1712238275_9969 |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 |
520 | _ | _ | |a Dietary intake of (poly)phenols has been linked to reduced adiposity and body weight (BW) in several epidemiological studies. However, epidemiological evidence on (poly)phenol biomarkers, particularly plasma concentrations, is scarce. We aimed to investigate the associations between plasma (poly)phenols and prospective BW change in participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.This study included 761 participants with data on BW at baseline and after 5 years of follow-up. Plasma concentrations of 36 (poly)phenols were measured at baseline using liquid chromatography-tandem mass spectrometry. Associations were assessed through general linear mixed models and multinomial logistic regression models, using change in BW as a continuous or as a categorical variable (BW loss, maintenance, gain), respectively. Plasma (poly)phenols were assessed as log2-transformed continuous variables. The false discovery rate (FDR) was used to control for multiple comparisons.Doubling plasma (poly)phenol concentrations showed a borderline trend towards a positive association with BW loss. Plasma vanillic acid showed the strongest association (-0.53 kg/5 years; 95% confidence interval [CI]: -0.99, -0.07). Similar results were observed for plasma naringenin comparing BW loss versus BW maintenance (odds ratio: 1.1; 95% CI: 1.0, 1.2). These results did not remain significant after FDR correction.Higher concentrations of plasma (poly)phenols suggested a tendency towards 5-year BW maintenance or loss. While certain associations seemed promising, they did not withstand FDR correction, indicating the need for caution in interpreting these results. Further studies using (poly)phenol biomarkers are needed to confirm these suggestive protective trends. |
536 | _ | _ | |a 313 - Krebsrisikofaktoren und Prävention (POF4-313) |0 G:(DE-HGF)POF4-313 |c POF4-313 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
650 | _ | 7 | |a Body weight |2 Other |
650 | _ | 7 | |a Cohort |2 Other |
650 | _ | 7 | |a EPIC |2 Other |
650 | _ | 7 | |a Nutritional biomarker |2 Other |
650 | _ | 7 | |a Plasma (poly)phenol |2 Other |
650 | _ | 7 | |a Phenols |2 NLM Chemicals |
650 | _ | 7 | |a Phenol |0 339NCG44TV |2 NLM Chemicals |
650 | _ | 7 | |a Biomarkers |2 NLM Chemicals |
650 | _ | 2 | |a Humans |2 MeSH |
650 | _ | 2 | |a Phenols |2 MeSH |
650 | _ | 2 | |a Prospective Studies |2 MeSH |
650 | _ | 2 | |a Phenol |2 MeSH |
650 | _ | 2 | |a Body Weight |2 MeSH |
650 | _ | 2 | |a Neoplasms |2 MeSH |
650 | _ | 2 | |a Biomarkers |2 MeSH |
700 | 1 | _ | |a Almanza-Aguilera, Enrique |b 1 |
700 | 1 | _ | |a Castañeda, Jazmín |b 2 |
700 | 1 | _ | |a Guiñón-Fort, Daniel |b 3 |
700 | 1 | _ | |a Eriksen, Anne Kirstine |b 4 |
700 | 1 | _ | |a Tjønneland, Anne |b 5 |
700 | 1 | _ | |a Rothwell, Joseph A |b 6 |
700 | 1 | _ | |a Shah, Sanam |b 7 |
700 | 1 | _ | |a Cadeau, Claire |b 8 |
700 | 1 | _ | |a Katzke, Verena |0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |b 9 |u dkfz |
700 | 1 | _ | |a Johnson, Theron |0 P:(DE-He78)79ab945544e5bc017a2317b6146ed3aa |b 10 |u dkfz |
700 | 1 | _ | |a Schulze, Matthias B |b 11 |
700 | 1 | _ | |a Oliverio, Andreina |b 12 |
700 | 1 | _ | |a Pasanisi, Fabrizio |b 13 |
700 | 1 | _ | |a Tumino, Rosario |b 14 |
700 | 1 | _ | |a Manfredi, Luca |b 15 |
700 | 1 | _ | |a Masala, Giovana |b 16 |
700 | 1 | _ | |a Skeie, Guri |b 17 |
700 | 1 | _ | |a Lundblad, Marie Wasmuth |b 18 |
700 | 1 | _ | |a Brustad, Magritt |b 19 |
700 | 1 | _ | |a Lasheras, Cristina |b 20 |
700 | 1 | _ | |a Crous-Bou, Marta |b 21 |
700 | 1 | _ | |a Molina-Montes, Esther |b 22 |
700 | 1 | _ | |a Colorado-Yohar, Sandra |b 23 |
700 | 1 | _ | |a Guevara, Marcela |b 24 |
700 | 1 | _ | |a Amiano, Pilar |b 25 |
700 | 1 | _ | |a Johansson, Ingegerd |b 26 |
700 | 1 | _ | |a Hultdin, Johan |b 27 |
700 | 1 | _ | |a Forouhi, Nita G |b 28 |
700 | 1 | _ | |a Freisling, Heinz |b 29 |
700 | 1 | _ | |a Merdas, Mira |b 30 |
700 | 1 | _ | |a Debras, Charlotte |b 31 |
700 | 1 | _ | |a Heath, Alicia K |b 32 |
700 | 1 | _ | |a Aglago, Elom K |b 33 |
700 | 1 | _ | |a Aune, Dagfinn |b 34 |
700 | 1 | _ | |a Zamora-Ros, Raul |b 35 |
773 | _ | _ | |a 10.1159/000535803 |g Vol. 80, no. 2, p. 87 - 100 |0 PERI:(DE-600)1481977-6 |n 2 |p 87 - 100 |t Annals of nutrition & metabolism |v 80 |y 2024 |x 0250-6807 |
909 | C | O | |o oai:inrepo02.dkfz.de:289229 |p VDB |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 9 |6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 10 |6 P:(DE-He78)79ab945544e5bc017a2317b6146ed3aa |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-313 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Krebsrisikofaktoren und Prävention |x 0 |
914 | 1 | _ | |y 2024 |
915 | _ | _ | |a National-Konsortium |0 StatID:(DE-HGF)0430 |2 StatID |d 2023-10-21 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0320 |2 StatID |b PubMed Central |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-10-21 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1060 |2 StatID |b Current Contents - Agriculture, Biology and Environmental Sciences |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-10-21 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b ANN NUTR METAB : 2022 |d 2023-10-21 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-10-21 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-10-21 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2023-10-21 |
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 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|