Higher thyrotropin leads to unfavorable lipid profile and somewhat higher cardiovascular disease risk: evidence from multi-cohort Mendelian randomization and metabolomic profiling.


Journal

BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723

Informations de publication

Date de publication:
03 11 2021
Historique:
received: 12 05 2021
accepted: 16 09 2021
entrez: 3 11 2021
pubmed: 4 11 2021
medline: 24 11 2021
Statut: epublish

Résumé

Observational studies suggest interconnections between thyroid status, metabolism, and risk of coronary artery disease (CAD), but causality remains to be proven. The present study aimed to investigate the potential causal relationship between thyroid status and cardiovascular disease and to characterize the metabolomic profile associated with thyroid status. Multi-cohort two-sample Mendelian randomization (MR) was performed utilizing genome-wide significant variants as instruments for standardized thyrotropin (TSH) and free thyroxine (fT4) within the reference range. Associations between TSH and fT4 and metabolic profile were investigated in a two-stage manner: associations between TSH and fT4 and the full panel of 161 metabolomic markers were first assessed hypothesis-free, then directional consistency was assessed through Mendelian randomization, another metabolic profile platform, and in individuals with biochemically defined thyroid dysfunction. Circulating TSH was associated with 52/161 metabolomic markers, and fT4 levels were associated with 21/161 metabolomic markers among 9432 euthyroid individuals (median age varied from 23.0 to 75.4 years, 54.5% women). Positive associations between circulating TSH levels and concentrations of very low-density lipoprotein subclasses and components, triglycerides, and triglyceride content of lipoproteins were directionally consistent across the multivariable regression, MR, metabolomic platforms, and for individuals with hypo- and hyperthyroidism. Associations with fT4 levels inversely reflected those observed with TSH. Among 91,810 CAD cases and 656,091 controls of European ancestry, per 1-SD increase of genetically determined TSH concentration risk of CAD increased slightly, but not significantly, with an OR of 1.03 (95% CI 0.99-1.07; p value 0.16), whereas higher genetically determined fT4 levels were not associated with CAD risk (OR 1.00 per SD increase of fT4; 95% CI 0.96-1.04; p value 0.59). Lower thyroid status leads to an unfavorable lipid profile and a somewhat increased cardiovascular disease risk.

Sections du résumé

BACKGROUND
Observational studies suggest interconnections between thyroid status, metabolism, and risk of coronary artery disease (CAD), but causality remains to be proven. The present study aimed to investigate the potential causal relationship between thyroid status and cardiovascular disease and to characterize the metabolomic profile associated with thyroid status.
METHODS
Multi-cohort two-sample Mendelian randomization (MR) was performed utilizing genome-wide significant variants as instruments for standardized thyrotropin (TSH) and free thyroxine (fT4) within the reference range. Associations between TSH and fT4 and metabolic profile were investigated in a two-stage manner: associations between TSH and fT4 and the full panel of 161 metabolomic markers were first assessed hypothesis-free, then directional consistency was assessed through Mendelian randomization, another metabolic profile platform, and in individuals with biochemically defined thyroid dysfunction.
RESULTS
Circulating TSH was associated with 52/161 metabolomic markers, and fT4 levels were associated with 21/161 metabolomic markers among 9432 euthyroid individuals (median age varied from 23.0 to 75.4 years, 54.5% women). Positive associations between circulating TSH levels and concentrations of very low-density lipoprotein subclasses and components, triglycerides, and triglyceride content of lipoproteins were directionally consistent across the multivariable regression, MR, metabolomic platforms, and for individuals with hypo- and hyperthyroidism. Associations with fT4 levels inversely reflected those observed with TSH. Among 91,810 CAD cases and 656,091 controls of European ancestry, per 1-SD increase of genetically determined TSH concentration risk of CAD increased slightly, but not significantly, with an OR of 1.03 (95% CI 0.99-1.07; p value 0.16), whereas higher genetically determined fT4 levels were not associated with CAD risk (OR 1.00 per SD increase of fT4; 95% CI 0.96-1.04; p value 0.59).
CONCLUSIONS
Lower thyroid status leads to an unfavorable lipid profile and a somewhat increased cardiovascular disease risk.

Identifiants

pubmed: 34727949
doi: 10.1186/s12916-021-02130-1
pii: 10.1186/s12916-021-02130-1
pmc: PMC8565073
doi:

Substances chimiques

Lipids 0
Thyrotropin 9002-71-5
Thyroxine Q51BO43MG4

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

266

Subventions

Organisme : British Heart Foundation
ID : FS/16/45/32359
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00006/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L01341X/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R023484/1
Pays : United Kingdom

Informations de copyright

© 2021. The Author(s).

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Auteurs

Nicolien A van Vliet (NA)

Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.

Maxime M Bos (MM)

Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.

Carisha S Thesing (CS)

Amsterdam UMC, Vrije Universiteit, Department of Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands.

Layal Chaker (L)

Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.
Academic Center for Thyroid Diseases, Erasmus MC, Rotterdam, The Netherlands.
Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.

Maik Pietzner (M)

Computational Medicine, Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, Berlin, Germany.

Evelyn Houtman (E)

Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Matt J Neville (MJ)

NIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK.
Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK.

Ruifang Li-Gao (R)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Stella Trompet (S)

Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.

Rima Mustafa (R)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Fariba Ahmadizar (F)

Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.

Marian Beekman (M)

Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Mariska Bot (M)

Amsterdam UMC, Vrije Universiteit, Department of Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands.

Kathrin Budde (K)

Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.

Constantinos Christodoulides (C)

NIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK.
Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK.

Abbas Dehghan (A)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Dementia Research Institute at Imperial College London, London, UK.

Christian Delles (C)

Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.

Paul Elliott (P)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Dementia Research Institute at Imperial College London, London, UK.
NIHR Biomedical Research Centre, Imperial College London, London, UK.
BHF Imperial College Centre for Research Excellence, Imperial College London, London, UK.

Marina Evangelou (M)

Department of Mathematics, Faculty of Natural Sciences, Imperial College London, London, UK.

He Gao (H)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Mohsen Ghanbari (M)

Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.

Antonius E van Herwaarden (AE)

Department of Laboratory Medicine, Radboud Laboratory for Diagnostics (RLD), Radboud University Medical Center, Nijmegen, The Netherlands.

M Arfan Ikram (MA)

Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.

Martin Jaeger (M)

Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, Nijmegen, The Netherlands.
Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands.

J Wouter Jukema (JW)

Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
Netherlands Heart Institute, Utrecht, The Netherlands.

Ibrahim Karaman (I)

MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Dementia Research Institute at Imperial College London, London, UK.

Fredrik Karpe (F)

NIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK.
Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK.

Margreet Kloppenburg (M)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.

Jennifer M T A Meessen (JMTA)

Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Department of Orthopaedics, Leiden University Medical Center, Leiden, The Netherlands.

Ingrid Meulenbelt (I)

Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Yuri Milaneschi (Y)

Amsterdam UMC, Vrije Universiteit, Department of Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands.

Simon P Mooijaart (SP)

Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Institute for Evidence-Based Medicine in Old Age (IEMO), Leiden, The Netherlands.

Dennis O Mook-Kanamori (DO)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.

Mihai G Netea (MG)

Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, Nijmegen, The Netherlands.

Romana T Netea-Maier (RT)

Department of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, Nijmegen, The Netherlands.

Robin P Peeters (RP)

Academic Center for Thyroid Diseases, Erasmus MC, Rotterdam, The Netherlands.
Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.

Brenda W J H Penninx (BWJH)

Amsterdam UMC, Vrije Universiteit, Department of Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands.

Naveed Sattar (N)

BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK.

P Eline Slagboom (PE)

Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Max Planck Institute for Biology of Ageing, Cologne, Germany.

H Eka D Suchiman (HED)

Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Henry Völzke (H)

Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.

Ko Willems van Dijk (K)

Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.
Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands.

Raymond Noordam (R)

Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands. r.noordam@lumc.nl.

Diana van Heemst (D)

Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands. d.van_heemst@lumc.nl.

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