Choline Metabolism and Risk of Atrial Fibrillation and Heart Failure in the PREDIMED Study.


Journal

Clinical chemistry
ISSN: 1530-8561
Titre abrégé: Clin Chem
Pays: England
ID NLM: 9421549

Informations de publication

Date de publication:
08 01 2021
Historique:
received: 10 04 2020
accepted: 02 09 2020
pubmed: 2 12 2020
medline: 7 7 2021
entrez: 1 12 2020
Statut: ppublish

Résumé

Few studies have examined the associations of trimethylamine-N-oxide (TMAO) and its precursors (choline, betaine, dimethylglycine, and L-carnitine) with the risk of atrial fibrillation (AF) and heart failure (HF). This study sought to investigate these associations. Prospective associations of these metabolites with incident AF and HF were examined among participants at high cardiovascular risk in the PREDIMED study (PREvención con DIeta MEDiterránea) after follow-up for about 10 years. Two nested case-control studies were conducted, including 509 AF incident cases matched to 618 controls and 326 HF incident cases matched to 426 controls. Plasma levels of TMAO and its precursors were semi-quantitatively profiled with liquid chromatography tandem mass spectrometry. Odds ratios were estimated with multivariable conditional logistic regression models. After adjustment for classical risk factors and accounting for multiple testing, participants in the highest quartile vs. the lowest quartile of baseline choline and betaine levels had a higher risk of AF [OR (95% CI): 1.85 (1.30-2.63) and 1.57 (1.09-2.24), respectively]. The corresponding OR for AF for extreme quartiles of dimethylglycine was 1.39 (0.99-1.96). One SD increase in log-transformed dimethylglycine was positively associated with AF risk (OR, 1.17; 1.03-1.33). The corresponding ORs for HF for extreme quartiles of choline, betaine, and dimethylglycine were 2.51 (1.57-4.03), 1.65 (1.00-2.71) and 1.65 (1.04-2.61), respectively. TMAO and L-carnitine levels were not associated with AF or HF. Our findings support the role of the choline metabolic pathway in the pathogenesis of AF and HF.

Sections du résumé

BACKGROUND
Few studies have examined the associations of trimethylamine-N-oxide (TMAO) and its precursors (choline, betaine, dimethylglycine, and L-carnitine) with the risk of atrial fibrillation (AF) and heart failure (HF). This study sought to investigate these associations.
METHODS
Prospective associations of these metabolites with incident AF and HF were examined among participants at high cardiovascular risk in the PREDIMED study (PREvención con DIeta MEDiterránea) after follow-up for about 10 years. Two nested case-control studies were conducted, including 509 AF incident cases matched to 618 controls and 326 HF incident cases matched to 426 controls. Plasma levels of TMAO and its precursors were semi-quantitatively profiled with liquid chromatography tandem mass spectrometry. Odds ratios were estimated with multivariable conditional logistic regression models.
RESULTS
After adjustment for classical risk factors and accounting for multiple testing, participants in the highest quartile vs. the lowest quartile of baseline choline and betaine levels had a higher risk of AF [OR (95% CI): 1.85 (1.30-2.63) and 1.57 (1.09-2.24), respectively]. The corresponding OR for AF for extreme quartiles of dimethylglycine was 1.39 (0.99-1.96). One SD increase in log-transformed dimethylglycine was positively associated with AF risk (OR, 1.17; 1.03-1.33). The corresponding ORs for HF for extreme quartiles of choline, betaine, and dimethylglycine were 2.51 (1.57-4.03), 1.65 (1.00-2.71) and 1.65 (1.04-2.61), respectively. TMAO and L-carnitine levels were not associated with AF or HF.
CONCLUSIONS
Our findings support the role of the choline metabolic pathway in the pathogenesis of AF and HF.

Identifiants

pubmed: 33257943
pii: 6012975
doi: 10.1093/clinchem/hvaa224
pmc: PMC7793226
doi:

Substances chimiques

Methylamines 0
Betaine 3SCV180C9W
dimethylglycine 7797M4CPPA
trimethyloxamine FLD0K1SJ1A
Choline N91BDP6H0X
Carnitine S7UI8SM58A
Sarcosine Z711V88R5F

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

288-297

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL118264
Pays : United States

Informations de copyright

© American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Christopher Papandreou (C)

Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.
Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain.

Mònica Bulló (M)

Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.
Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain.

Pablo Hernández-Alonso (P)

Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.
Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain.

Miguel Ruiz-Canela (M)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain.
Navarra Institute for Health Research (IdiSNA), Pamplona, Navarra, Spain.

Jun Li (J)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.

Marta Guasch-Ferré (M)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.

Estefanía Toledo (E)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain.
Navarra Institute for Health Research (IdiSNA), Pamplona, Navarra, Spain.

Clary Clish (C)

Broad Institute of MIT and Harvard University, Cambridge, MA.

Dolores Corella (D)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
Department of Preventive Medicine, University of Valencia, Valencia, Spain.

Ramon Estruch (R)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.

Emilio Ros (E)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.

Montserrat Fitó (M)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
Cardiovascular and Nutrition Research Group, Institut de Recerca Hospital del Mar, Barcelona, Spain.

Angel Alonso-Gómez (A)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain.

Miquel Fiol (M)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
Institute of Health Sciences IUNICS, University of Balearic Islands and Hospital Son Espases, Palma de Mallorca, Spain.

José M Santos-Lozano (JM)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, San Pablo Health Center, Sevilla, Spain.

Lluís Serra-Majem (L)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
Research Institute of Biomedical and Health Sciences IUIBS, University of Las Palmas de Gran Canaria, Las Palmas, Spain.

Liming Liang (L)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.

Miguel A Martínez-González (MA)

Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain.
Navarra Institute for Health Research (IdiSNA), Pamplona, Navarra, Spain.
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.

Frank B Hu (FB)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.

Jordi Salas-Salvadó (J)

Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.
Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institut de Salud Carlos III, Madrid, Spain.
University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain.

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Classifications MeSH