TY - JOUR
T1 - Associations between dietary amino acid intakes and blood concentration levels
AU - Iguacel, Isabel
AU - Schmidt, Julie A.
AU - Perez-Cornago, Aurora
AU - Van Puyvelde, Heleen
AU - Travis, Ruth
AU - Stepien, Magdalena
AU - Scalbert, Augustin
AU - Casagrande, Corinne
AU - Weiderpass, Elisabete
AU - Riboli, Elio
AU - Schulze, Matthias B.
AU - Skeie, Guri
AU - Bodén, Stina
AU - Boeing, Heiner
AU - Cross, Amanda J.
AU - Harlid, Sophia
AU - Jensen, Torill Enget
AU - Huerta, José M.
AU - Katzke, Verena
AU - Kühn, Tilman
AU - Lujan-Barroso, Leila
AU - Masala, Giovanna
AU - Rodriguez-Barranco, Miguel
AU - Rostgaard-Hansen, Agnetha Linn
AU - van der Schouw, Yvonne T.
AU - Vermeulen, Roel
AU - Tagliabue, Giovanna
AU - Tjønneland, Anne
AU - Trevisan, Morena
AU - Ferrari, Pietro
AU - Gunter, Marc J.
AU - Huybrechts, Inge
N1 - Funding Information:
The coordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics , School of Public Health , Imperial College London which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC) . The national cohorts are supported by: Danish Cancer Society (Denmark) ; Ligue Contre le Cancer , Institut Gustave Roussy , Mutuelle Générale de l’Education Nationale , Institut National de la Santé et de la Recherche Médicale (INSERM) (France) ; German Cancer Aid , German Cancer Research Center (DKFZ) , German Institute of Human Nutrition Potsdam- Rehbruecke (DIfE) , Federal Ministry of Education and Research (BMBF) (Germany) ; Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy , Compagnia di SanPaolo and National Research Council (Italy) ; Dutch Ministry of Public Health , Welfare and Sports (VWS) , Netherlands Cancer Registry (NKR) , LK Research Funds , Dutch Prevention Funds , Dutch ZON (Zorg Onderzoek Nederland) , World Cancer Research Fund (WCRF) , Statistics Netherlands (The Netherlands) ; Health Research Fund (FIS) - Instituto de Salud Carlos III (ISCIII) , Regional Governments of Andalucía, Asturias, Basque Country , Murcia and Navarra, and the Catalan Institute of Oncology - ICO (Spain) ; Swedish Cancer Society , Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden) ; Cancer Research UK ( 14,136 to EPIC-Norfolk ; C8221/A29017 to EPIC-Oxford ), Medical Research Council ( 1,000,143 to EPIC-Norfolk ; MR/M012190/1 to EPIC-Oxford ). (United Kingdom).
Publisher Copyright:
© 2021
PY - 2021/6
Y1 - 2021/6
N2 - Background and aims: Emerging evidence suggests a role of amino acids (AAs) in the development of various diseases including renal failure, liver cirrhosis, diabetes and cancer. However, mechanistic pathways and the effects of dietary AA intakes on circulating levels and disease outcomes are unclear. We aimed to compare protein and AA intakes, with their respective blood concentrations in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Methods: Dietary protein and AA intakes were assessed via the EPIC dietary questionnaires (DQ) and 24-h dietary recalls (24-HDR). A subsample of 3768 EPIC participants who were free of cancer had blood AA concentrations measured. To investigate how circulating levels relate to their respective intakes, dietary AA intake was examined in quintiles and ANOVA tests were run. Pearson correlations were examined for continous associations between intakes and blood concentrations. Results: Dietary AA intakes (assessed with the DQ) and blood AA concentrations were not strongly correlated (−0.15 ≤ r ≤ 0.17) and the direction of the correlations depended on AA class: weak positive correlations were found for most essential AAs (isoleucine, leucine, lysine, methionine, threonine, tryptophan, and valine) and conditionally essential AAs (arginine and tyrosine), while negative associations were found for non-essential AAs. Similar results were found when using the 24-HDR. When conducting ANOVA tests for essential AAs, higher intake quintiles were linked to higher blood AA concentrations, except for histidine and phenylalanine. For non-essential AAs and glycine, an inverse relationship was observed. Conditionally-essential AAs showed mixed results. Conclusions: Weak positive correlations and dose responses were found between most essential and conditionally essential AA intakes, and blood concentrations, but not for the non-essential AAs. These results suggest that intake of dietary AA might be related to physiological AA status, particularly for the essential AAs. However, these results should be further evaluated and confirmed in large-scale prospective studies.
AB - Background and aims: Emerging evidence suggests a role of amino acids (AAs) in the development of various diseases including renal failure, liver cirrhosis, diabetes and cancer. However, mechanistic pathways and the effects of dietary AA intakes on circulating levels and disease outcomes are unclear. We aimed to compare protein and AA intakes, with their respective blood concentrations in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Methods: Dietary protein and AA intakes were assessed via the EPIC dietary questionnaires (DQ) and 24-h dietary recalls (24-HDR). A subsample of 3768 EPIC participants who were free of cancer had blood AA concentrations measured. To investigate how circulating levels relate to their respective intakes, dietary AA intake was examined in quintiles and ANOVA tests were run. Pearson correlations were examined for continous associations between intakes and blood concentrations. Results: Dietary AA intakes (assessed with the DQ) and blood AA concentrations were not strongly correlated (−0.15 ≤ r ≤ 0.17) and the direction of the correlations depended on AA class: weak positive correlations were found for most essential AAs (isoleucine, leucine, lysine, methionine, threonine, tryptophan, and valine) and conditionally essential AAs (arginine and tyrosine), while negative associations were found for non-essential AAs. Similar results were found when using the 24-HDR. When conducting ANOVA tests for essential AAs, higher intake quintiles were linked to higher blood AA concentrations, except for histidine and phenylalanine. For non-essential AAs and glycine, an inverse relationship was observed. Conditionally-essential AAs showed mixed results. Conclusions: Weak positive correlations and dose responses were found between most essential and conditionally essential AA intakes, and blood concentrations, but not for the non-essential AAs. These results suggest that intake of dietary AA might be related to physiological AA status, particularly for the essential AAs. However, these results should be further evaluated and confirmed in large-scale prospective studies.
KW - 24-H dietary recall
KW - Amino acids
KW - Blood levels
KW - Dietary intake
KW - Dietary questionnaire
UR - http://www.scopus.com/inward/record.url?scp=85107738866&partnerID=8YFLogxK
U2 - 10.1016/j.clnu.2021.04.036
DO - 10.1016/j.clnu.2021.04.036
M3 - Article
AN - SCOPUS:85107738866
SN - 0261-5614
VL - 40
SP - 3772
EP - 3779
JO - Clinical Nutrition
JF - Clinical Nutrition
IS - 6
ER -