Cardiac Troponin T and Troponin I in the General Population.


Journal

Circulation
ISSN: 1524-4539
Titre abrégé: Circulation
Pays: United States
ID NLM: 0147763

Informations de publication

Date de publication:
11 06 2019
Historique:
pubmed: 25 4 2019
medline: 17 3 2020
entrez: 25 4 2019
Statut: ppublish

Résumé

There is great interest in widening the use of high-sensitivity cardiac troponins for population cardiovascular disease (CVD) and heart failure screening. However, it is not clear whether cardiac troponin T (cTnT) and troponin I (cTnI) are equivalent measures of risk in this setting. We aimed to compare and contrast (1) the association of cTnT and cTnI with CVD and non-CVD outcomes, and (2) their determinants in a genome-wide association study. High-sensitivity cTnT and cTnI were measured in serum from 19 501 individuals in Generation Scotland Scottish Family Health Study. Median follow-up was 7.8 years (quartile 1 to quartile 3, 7.1-9.2). Associations of each troponin with a composite CVD outcome (1177 events), CVD death (n=266), non-CVD death (n=374), and heart failure (n=216) were determined by using Cox models. A genome-wide association study was conducted using a standard approach developed for the cohort. Both cTnI and cTnT were strongly associated with CVD risk in unadjusted models. After adjusting for classical risk factors, the hazard ratio for a 1 SD increase in log transformed troponin was 1.24 (95% CI, 1.17-1.32) and 1.11 (1.04-1.19) for cTnI and cTnT, respectively; ratio of hazard ratios 1.12 (1.04-1.21). cTnI, but not cTnT, was associated with myocardial infarction and coronary heart disease. Both cTnI and cTnT had strong associations with CVD death and heart failure. By contrast, cTnT, but not cTnI, was associated with non-CVD death; ratio of hazard ratios 0.77 (0.67-0.88). We identified 5 loci (53 individual single-nucleotide polymorphisms) that had genome-wide significant associations with cTnI, and a different set of 4 loci (4 single-nucleotide polymorphisms) for cTnT. The upstream genetic causes of low-grade elevations in cTnI and cTnT appear distinct, and their associations with outcomes also differ. Elevations in cTnI are more strongly associated with some CVD outcomes, whereas cTnT is more strongly associated with the risk of non-CVD death. These findings help inform the selection of an optimal troponin assay for future clinical care and research in this setting.

Sections du résumé

BACKGROUND
There is great interest in widening the use of high-sensitivity cardiac troponins for population cardiovascular disease (CVD) and heart failure screening. However, it is not clear whether cardiac troponin T (cTnT) and troponin I (cTnI) are equivalent measures of risk in this setting. We aimed to compare and contrast (1) the association of cTnT and cTnI with CVD and non-CVD outcomes, and (2) their determinants in a genome-wide association study.
METHODS
High-sensitivity cTnT and cTnI were measured in serum from 19 501 individuals in Generation Scotland Scottish Family Health Study. Median follow-up was 7.8 years (quartile 1 to quartile 3, 7.1-9.2). Associations of each troponin with a composite CVD outcome (1177 events), CVD death (n=266), non-CVD death (n=374), and heart failure (n=216) were determined by using Cox models. A genome-wide association study was conducted using a standard approach developed for the cohort.
RESULTS
Both cTnI and cTnT were strongly associated with CVD risk in unadjusted models. After adjusting for classical risk factors, the hazard ratio for a 1 SD increase in log transformed troponin was 1.24 (95% CI, 1.17-1.32) and 1.11 (1.04-1.19) for cTnI and cTnT, respectively; ratio of hazard ratios 1.12 (1.04-1.21). cTnI, but not cTnT, was associated with myocardial infarction and coronary heart disease. Both cTnI and cTnT had strong associations with CVD death and heart failure. By contrast, cTnT, but not cTnI, was associated with non-CVD death; ratio of hazard ratios 0.77 (0.67-0.88). We identified 5 loci (53 individual single-nucleotide polymorphisms) that had genome-wide significant associations with cTnI, and a different set of 4 loci (4 single-nucleotide polymorphisms) for cTnT.
CONCLUSIONS
The upstream genetic causes of low-grade elevations in cTnI and cTnT appear distinct, and their associations with outcomes also differ. Elevations in cTnI are more strongly associated with some CVD outcomes, whereas cTnT is more strongly associated with the risk of non-CVD death. These findings help inform the selection of an optimal troponin assay for future clinical care and research in this setting.

Identifiants

pubmed: 31014085
doi: 10.1161/CIRCULATIONAHA.118.038529
pmc: PMC6571179
doi:

Substances chimiques

Troponin I 0
Troponin T 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

2754-2764

Subventions

Organisme : Medical Research Council
ID : MC_UU_00007/10
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/16/14/32023
Pays : United Kingdom
Organisme : Chief Scientist Office
ID : ASM/14/1
Pays : United Kingdom
Organisme : Chief Scientist Office
ID : CZD/16/6
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K026992/1
Pays : United Kingdom
Organisme : Chief Scientist Office
ID : ASM/14/01
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RE/13/1/30181
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_U127592696
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0700704
Pays : United Kingdom

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Auteurs

Paul Welsh (P)

Institute of Cardiovascular and Medical Sciences (P.W., S.P., C.W., N.S.), University of Glasgow, United Kingdom.

David Preiss (D)

MRC Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit (D. Preiss), University of Oxford, United Kingdom.

Caroline Hayward (C)

MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (C.H.), University of Edinburgh, United Kingdom.

Anoop S V Shah (ASV)

BHF Centre for Cardiovascular Science (A.S.V.S., N.L.M.), University of Edinburgh, United Kingdom.

David McAllister (D)

Institute of Cardiovascular and Medical Sciences (P.W., S.P., C.W., N.S.), University of Glasgow, United Kingdom.

Andrew Briggs (A)

Institute of Health and Wellbeing (A.B.), University of Glasgow, United Kingdom.

Charles Boachie (C)

Robertson Centre for Biostatistics (C.B., A.M.), University of Glasgow, United Kingdom.

Alex McConnachie (A)

Robertson Centre for Biostatistics (C.B., A.M.), University of Glasgow, United Kingdom.

Sandosh Padmanabhan (S)

Institute of Cardiovascular and Medical Sciences (P.W., S.P., C.W., N.S.), University of Glasgow, United Kingdom.

Claire Welsh (C)

Institute of Cardiovascular and Medical Sciences (P.W., S.P., C.W., N.S.), University of Glasgow, United Kingdom.

Mark Woodward (M)

The George Institute for Global Health (M.W.), University of Oxford, United Kingdom.
The George Institute for Global Health, University of New South Wales, Sydney, Australia (M.W.).
Department of Epidemiology, Johns Hopkins University, Baltimore, MD (M.W.).

Archie Campbell (A)

Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine (A.C., D. Porteous), University of Edinburgh, United Kingdom.
Usher Institute for Population Health Sciences and Informatics (A.C.), University of Edinburgh, United Kingdom.

David Porteous (D)

Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine (A.C., D. Porteous), University of Edinburgh, United Kingdom.

Nicholas L Mills (NL)

BHF Centre for Cardiovascular Science (A.S.V.S., N.L.M.), University of Edinburgh, United Kingdom.

Naveed Sattar (N)

Institute of Cardiovascular and Medical Sciences (P.W., S.P., C.W., N.S.), University of Glasgow, United Kingdom.

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