SCOPE: The use of biomarkers in the objective assessment of dietary intake is a high priority in nutrition research. The aim of this study was to examine pentadecanoic acid (C15:0) and heptadecanoic acid (C17:0) as biomarkers of dairy foods intake. METHODS AND RESULTS: The data used in the present study were obtained as part of the Food4me Study. Estimates of C15:0 and C17:0 from dried blood spots and intakes of dairy from a Food Frequency Questionnaire were obtained from participants (n = 1180) across seven countries. Regression analyses were used to explore associations of biomarkers with dairy intake levels and receiver operating characteristic analyses were used to evaluate the fatty acids. Significant positive associations were found between C15:0 and total intakes of high-fat dairy products. C15:0 showed good ability to distinguish between low and high consumers of high-fat dairy products. CONCLUSION: C15:0 can be used as a biomarker of high-fat dairy intake and of specific high-fat dairy products. Both C15:0 and C17:0 performed poorly for total dairy intake highlighting the need for caution when using these in epidemiological studies.
SCOPE: The use of biomarkers in the objective assessment of dietary intake is a high priority in nutrition research. The aim of this study was to examine pentadecanoic acid (C15:0) and heptadecanoic acid (C17:0) as biomarkers of dairy foods intake. METHODS AND RESULTS: The data used in the present study were obtained as part of the Food4me Study. Estimates of C15:0 and C17:0 from dried blood spots and intakes of dairy from a Food Frequency Questionnaire were obtained from participants (n = 1180) across seven countries. Regression analyses were used to explore associations of biomarkers with dairy intake levels and receiver operating characteristic analyses were used to evaluate the fatty acids. Significant positive associations were found between C15:0 and total intakes of high-fat dairy products. C15:0 showed good ability to distinguish between low and high consumers of high-fat dairy products. CONCLUSION: C15:0 can be used as a biomarker of high-fat dairy intake and of specific high-fat dairy products. Both C15:0 and C17:0 performed poorly for total dairy intake highlighting the need for caution when using these in epidemiological studies.
Authors: Sandi M Azab; Russell J de Souza; Koon K Teo; Sonia S Anand; Natalie C Williams; Jordan Holzschuher; Chris McGlory; Stuart M Philips; Philip Britz-McKibbin Journal: J Lipid Res Date: 2020-03-31 Impact factor: 5.922
Authors: Rodrigo San-Cristobal; Santiago Navas-Carretero; Carlos Celis-Morales; Katherine M Livingstone; Barbara Stewart-Knox; Audrey Rankin; Anna L Macready; Rosalind Fallaize; Clare B O'Donovan; Hannah Forster; Clara Woolhead; Marianne C Walsh; Christina P Lambrinou; George Moschonis; Yannis Manios; Miroslaw Jarosz; Hannelore Daniel; Eileen R Gibney; Lorraine Brennan; Thomas E Gundersen; Christian A Drevon; Mike Gibney; Cyril F M Marsaux; Wim H M Saris; Julie A Lovegrove; Lynn J Frewer; John C Mathers; J Alfredo Martinez Journal: Int J Behav Nutr Phys Act Date: 2017-12-11 Impact factor: 6.457
Authors: Rosalind Fallaize; Katherine M Livingstone; Carlos Celis-Morales; Anna L Macready; Rodrigo San-Cristobal; Santiago Navas-Carretero; Cyril F M Marsaux; Clare B O'Donovan; Silvia Kolossa; George Moschonis; Marianne C Walsh; Eileen R Gibney; Lorraine Brennan; Jildau Bouwman; Yannis Manios; Miroslaw Jarosz; J Alfredo Martinez; Hannelore Daniel; Wim H M Saris; Thomas E Gundersen; Christian A Drevon; Michael J Gibney; John C Mathers; Julie A Lovegrove Journal: Nutrients Date: 2018-01-06 Impact factor: 5.717
Authors: Benjamin Jenkins; Manar Aoun; Christine Feillet-Coudray; Charles Coudray; Martin Ronis; Albert Koulman Journal: Nutrients Date: 2018-11-03 Impact factor: 6.706
Authors: Alessia Trimigno; Linda Münger; Gianfranco Picone; Carola Freiburghaus; Grégory Pimentel; Nathalie Vionnet; François Pralong; Francesco Capozzi; René Badertscher; Guy Vergères Journal: Metabolites Date: 2018-03-23
Authors: Rodrigo San-Cristobal; Santiago Navas-Carretero; Katherine M Livingstone; Carlos Celis-Morales; Anna L Macready; Rosalind Fallaize; Clare B O'Donovan; Christina P Lambrinou; George Moschonis; Cyril F M Marsaux; Yannis Manios; Miroslaw Jarosz; Hannelore Daniel; Eileen R Gibney; Lorraine Brennan; Christian A Drevon; Thomas E Gundersen; Mike Gibney; Wim H M Saris; Julie A Lovegrove; Keith Grimaldi; Laurence D Parnell; Jildau Bouwman; Ben Van Ommen; John C Mathers; J Alfredo Martinez Journal: Nutrients Date: 2017-10-11 Impact factor: 5.717
Authors: Fumiaki Imamura; Amanda Fretts; Matti Marklund; Andres V Ardisson Korat; Wei-Sin Yang; Maria Lankinen; Waqas Qureshi; Catherine Helmer; Tzu-An Chen; Kerry Wong; Julie K Bassett; Rachel Murphy; Nathan Tintle; Chaoyu Ian Yu; Ingeborg A Brouwer; Kuo-Liong Chien; Alexis C Frazier-Wood; Liana C Del Gobbo; Luc Djoussé; Johanna M Geleijnse; Graham G Giles; Janette de Goede; Vilmundur Gudnason; William S Harris; Allison Hodge; Frank Hu; Albert Koulman; Markku Laakso; Lars Lind; Hung-Ju Lin; Barbara McKnight; Kalina Rajaobelina; Ulf Risérus; Jennifer G Robinson; Cécilia Samieri; David S Siscovick; Sabita S Soedamah-Muthu; Nona Sotoodehnia; Qi Sun; Michael Y Tsai; Matti Uusitupa; Lynne E Wagenknecht; Nick J Wareham; Jason Hy Wu; Renata Micha; Nita G Forouhi; Rozenn N Lemaitre; Dariush Mozaffarian Journal: PLoS Med Date: 2018-10-10 Impact factor: 11.069
Authors: Linda H Münger; Mar Garcia-Aloy; Rosa Vázquez-Fresno; Doreen Gille; Albert Remus R Rosana; Anna Passerini; María-Trinidad Soria-Florido; Grégory Pimentel; Tanvir Sajed; David S Wishart; Cristina Andres Lacueva; Guy Vergères; Giulia Praticò Journal: Genes Nutr Date: 2018-09-29 Impact factor: 5.523