Lipidomics, Atrial Conduction, and Body Mass Index.

Adult Aged Arteries / metabolism Body Mass Index Cardiovascular Diseases / metabolism Electrocardiography Female Genome-Wide Association Study Humans Lipid Metabolism Lipidomics Lipids / chemistry Male Mendelian Randomization Analysis Middle Aged Risk Factors
Mendelian randomization analysis body mass index genome-wide association study mass spectrometry phosphatidylcholine 38:3

Journal

Circulation. Genomic and precision medicine
ISSN: 2574-8300
Titre abrégé: Circ Genom Precis Med
Pays: United States
ID NLM: 101714113

Informations de publication

Date de publication:
07 2019
Historique:
entrez: 16 7 2019
pubmed: 16 7 2019
medline: 17 7 2020
Statut: ppublish

Résumé

Lipids are increasingly involved in cardiovascular risk prediction as potential proarrhythmic influencers. However, knowledge is limited about the specific mechanisms connecting lipid alterations with atrial conduction. To shed light on this issue, we conducted a broad assessment of 151 sphingo- and phospholipids, measured using mass spectrometry, for association with atrial conduction, measured by P wave duration (PWD) from standard electrocardiograms, in the MICROS study (Microisolates in South Tyrol) (n=839). Causal pathways involving lipidomics, body mass index (BMI), and PWD were assessed using 2-sample Mendelian randomization analyses based on published genome-wide association studies of lipidomics (n=4034) and BMI (n=734 481), and genetic association analysis of PWD in 5 population-based studies (n=24 236). We identified an association with relative phosphatidylcholine 38:3 (%PC 38:3) concentration, which was replicated in the ORCADES (Orkney Complex Disease Study; n=951), with a pooled association across studies of 2.59 (95% CI, 1.3-3.9; P=1.1×10 Increased %PC 38:3 levels are consistently associated with longer PWD, partly because of the confounding effect of BMI. The causal effect of BMI on PWD reinforces evidence of BMI's involvement into atrial electrical activity.

Sections du résumé

BACKGROUND
Lipids are increasingly involved in cardiovascular risk prediction as potential proarrhythmic influencers. However, knowledge is limited about the specific mechanisms connecting lipid alterations with atrial conduction.
METHODS
To shed light on this issue, we conducted a broad assessment of 151 sphingo- and phospholipids, measured using mass spectrometry, for association with atrial conduction, measured by P wave duration (PWD) from standard electrocardiograms, in the MICROS study (Microisolates in South Tyrol) (n=839). Causal pathways involving lipidomics, body mass index (BMI), and PWD were assessed using 2-sample Mendelian randomization analyses based on published genome-wide association studies of lipidomics (n=4034) and BMI (n=734 481), and genetic association analysis of PWD in 5 population-based studies (n=24 236).
RESULTS
We identified an association with relative phosphatidylcholine 38:3 (%PC 38:3) concentration, which was replicated in the ORCADES (Orkney Complex Disease Study; n=951), with a pooled association across studies of 2.59 (95% CI, 1.3-3.9; P=1.1×10
CONCLUSIONS
Increased %PC 38:3 levels are consistently associated with longer PWD, partly because of the confounding effect of BMI. The causal effect of BMI on PWD reinforces evidence of BMI's involvement into atrial electrical activity.

Identifiants

DOI: 10.1161/CIRCGEN.118.002384 PMID: 31306056
pubmed: 31306056
doi: 10.1161/CIRCGEN.118.002384
doi:

Substances chimiques

Lipids 0

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

e002384

Subventions

Organisme : Medical Research Council
ID : MC_UU_00007/10
Pays : United Kingdom
Organisme : Chief Scientist Office
ID : CZB/4/710
Pays : United Kingdom
Organisme : NLM NIH HHS
ID : R01 LM010098
Pays : United States
Organisme : Arthritis Research UK
Pays : United Kingdom
Organisme : Chief Scientist Office
ID : CZB/4/276
Pays : United Kingdom

Auteurs

Fabiola Del Greco M (F)

Luisa Foco (L)

Institute for Biomedicine, Eurac Research, Affiliated to the University of Lübeck, Bolzano, Italy (G.P., L.F., R.M., V.V., A.A.H., P.P.P., A.R., C.P.).

Alexander Teumer (A)

Institute for Community Medicine (A.T., S.B.F.), University Medicine Greifswald, Germany.

Niek Verweij (N)

Department of Cardiology (N.V., M.A.S., Y.J.v.d.V., P.v.d.H.), University of Groningen, University Medical Center Groningen, The Netherlands.

Giuseppe Paglia (G)

Institute for Biomedicine, Eurac Research, Affiliated to the University of Lübeck, Bolzano, Italy (G.P., L.F., R.M., V.V., A.A.H., P.P.P., A.R., C.P.).

Viviana Meraviglia (V)

Leiden University Medical Center, The Netherlands (V.M.).

Roberto Melotti (R)

Institute for Biomedicine, Eurac Research, Affiliated to the University of Lübeck, Bolzano, Italy (G.P., L.F., R.M., V.V., A.A.H., P.P.P., A.R., C.P.).

Vladimir Vukovic (V)

Institute for Biomedicine, Eurac Research, Affiliated to the University of Lübeck, Bolzano, Italy (G.P., L.F., R.M., V.V., A.A.H., P.P.P., A.R., C.P.).

Werner Rauhe (W)

Department of Cardiology, San Maurizio Hospital, Bolzano, Italy (W.R.).

Peter K Joshi (PK)

Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics (J.F.W., H.C., P.K.J.), University of Edinburgh, Scotland, United Kingdom.

Ayse Demirkan (A)

Department of Anatomy and Embryology and Department of Human Genetics (A.D.).
Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands (A.D.).

Stephan B Felix (SB)

Institute for Community Medicine (A.T., S.B.F.), University Medicine Greifswald, Germany.

Maik Pietzner (M)

Institute of Clinical Chemistry and Laboratory Medicine (M.P.), University Medicine Greifswald, Germany.
German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Germany (M.P., M.D.).

M Abdullah Said (MA)

Department of Cardiology (N.V., M.A.S., Y.J.v.d.V., P.v.d.H.), University of Groningen, University Medical Center Groningen, The Netherlands.

Yordi J van de Vegte (YJ)

Department of Cardiology (N.V., M.A.S., Y.J.v.d.V., P.v.d.H.), University of Groningen, University Medical Center Groningen, The Netherlands.

Pim van der Harst (P)

Department of Cardiology (N.V., M.A.S., Y.J.v.d.V., P.v.d.H.), University of Groningen, University Medical Center Groningen, The Netherlands.

Alan F Wright (AF)

MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine (A.F.W., J.F.W.), University of Edinburgh, Scotland, United Kingdom.

Andrew A Hicks (AA)

Institute for Biomedicine, Eurac Research, Affiliated to the University of Lübeck, Bolzano, Italy (G.P., L.F., R.M., V.V., A.A.H., P.P.P., A.R., C.P.).

Harry Campbell (H)

Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics (J.F.W., H.C., P.K.J.), University of Edinburgh, Scotland, United Kingdom.

Marcus Dörr (M)

Department of Internal Medicine B (M.D.), University Medicine Greifswald, Germany.
German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Germany (M.P., M.D.).

Harold Snieder (H)

Department of Epidemiology (H.S.), University of Groningen, University Medical Center Groningen, The Netherlands.

James F Wilson (JF)

Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics (J.F.W., H.C., P.K.J.), University of Edinburgh, Scotland, United Kingdom.
MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine (A.F.W., J.F.W.), University of Edinburgh, Scotland, United Kingdom.

Peter P Pramstaller (PP)

Institute for Biomedicine, Eurac Research, Affiliated to the University of Lübeck, Bolzano, Italy (G.P., L.F., R.M., V.V., A.A.H., P.P.P., A.R., C.P.).

Alessandra Rossini (A)

Institute for Biomedicine, Eurac Research, Affiliated to the University of Lübeck, Bolzano, Italy (G.P., L.F., R.M., V.V., A.A.H., P.P.P., A.R., C.P.).

Cristian Pattaro (C)

Institute for Biomedicine, Eurac Research, Affiliated to the University of Lübeck, Bolzano, Italy (G.P., L.F., R.M., V.V., A.A.H., P.P.P., A.R., C.P.).

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Système cardiovasculaire › Vaisseaux sanguins › Artères › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Biométrie › Anthropométrie › Indice de masse corporelle › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Maladies cardiovasculaires › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Électrodiagnostic › Électrocardiographie › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Épidémiologie moléculaire › Étude d'association pangénomique › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Métabolisme › Métabolisme lipidique › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Disciplines des sciences naturelles › Chimie › Biochimie › Métabolomique › Lipidomique › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Lipides › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Techniques d'investigation › Analyse de randomisation mendélienne › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Lipidomics, Atrial Conduction, and Body Mass Index.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Lipidomics, Atrial Conduction, and Body Mass Index.