Inflammatory proteomics profiling for prediction of incident atrial fibrillation
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Inflammatory proteomics profiling for prediction of incident atrial fibrillation. / Börschel, Christin S; Ortega-Alonso, Alfredo; Havulinna, Aki S; Jousilahti, Pekka; Salmi, Marko; Jalkanen, Sirpa; Veikko, Salomaa; Niiranen, Teemu; Schnabel, Renate B.
In: HEART, Vol. 109, No. 13, 14.06.2023, p. 1000-1006.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Inflammatory proteomics profiling for prediction of incident atrial fibrillation
AU - Börschel, Christin S
AU - Ortega-Alonso, Alfredo
AU - Havulinna, Aki S
AU - Jousilahti, Pekka
AU - Salmi, Marko
AU - Jalkanen, Sirpa
AU - Veikko, Salomaa
AU - Niiranen, Teemu
AU - Schnabel, Renate B
N1 - © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2023/6/14
Y1 - 2023/6/14
N2 - OBJECTIVE: Atrial fibrillation (AF) has emerged as a common condition in older adults. Cardiovascular risk factors only explain about 50% of AF cases. Inflammatory biomarkers may help close this gap as inflammation can alter atrial electrophysiology and structure. This study aimed to determine a cytokine biomarker profile for this condition in the community using a proteomics approach.METHODS: This study uses cytokine proteomics in participants of the Finnish population-based FINRISK cohort studies 1997/2002. Risk models for 46 cytokines were developed to predict incident AF using Cox regressions. Furthermore, the association of participants' C reactive protein (CRP) and N-terminal pro B-type natriuretic peptide (NT-proBNP) concentrations with incident AF was examined.RESULTS: In 10 744 participants (mean age of 50.9 years, 51.3% women), 1246 cases of incident AF were observed (40.5% women). The main analyses, adjusted for participants' sex and age, suggested that higher concentrations of macrophage inflammatory protein-1β (HR=1.11; 95% CI 1.04, 1.17), hepatocyte growth factor (HR=1.12; 95% CI 1.05, 1.19), CRP (HR=1.17; 95% CI 1.10, 1.24) and NT-proBNP (HR=1.58; 95% CI 1.45, 1.71) were associated with increased risk of incident AF. In further clinical variable-adjusted models, only NT-proBNP remained statistically significant.CONCLUSION: Our study confirmed NT-proBNP as a strong predictor for AF. Observed associations of circulating inflammatory cytokines were primarily explained by clinical risk factors and did not improve risk prediction. The potential mechanistic role of inflammatory cytokines measured in a proteomics approach remains to be further elucidated.
AB - OBJECTIVE: Atrial fibrillation (AF) has emerged as a common condition in older adults. Cardiovascular risk factors only explain about 50% of AF cases. Inflammatory biomarkers may help close this gap as inflammation can alter atrial electrophysiology and structure. This study aimed to determine a cytokine biomarker profile for this condition in the community using a proteomics approach.METHODS: This study uses cytokine proteomics in participants of the Finnish population-based FINRISK cohort studies 1997/2002. Risk models for 46 cytokines were developed to predict incident AF using Cox regressions. Furthermore, the association of participants' C reactive protein (CRP) and N-terminal pro B-type natriuretic peptide (NT-proBNP) concentrations with incident AF was examined.RESULTS: In 10 744 participants (mean age of 50.9 years, 51.3% women), 1246 cases of incident AF were observed (40.5% women). The main analyses, adjusted for participants' sex and age, suggested that higher concentrations of macrophage inflammatory protein-1β (HR=1.11; 95% CI 1.04, 1.17), hepatocyte growth factor (HR=1.12; 95% CI 1.05, 1.19), CRP (HR=1.17; 95% CI 1.10, 1.24) and NT-proBNP (HR=1.58; 95% CI 1.45, 1.71) were associated with increased risk of incident AF. In further clinical variable-adjusted models, only NT-proBNP remained statistically significant.CONCLUSION: Our study confirmed NT-proBNP as a strong predictor for AF. Observed associations of circulating inflammatory cytokines were primarily explained by clinical risk factors and did not improve risk prediction. The potential mechanistic role of inflammatory cytokines measured in a proteomics approach remains to be further elucidated.
KW - Humans
KW - Female
KW - Aged
KW - Middle Aged
KW - Male
KW - Atrial Fibrillation/diagnosis
KW - Proteomics
KW - Biomarkers
KW - Risk Factors
KW - C-Reactive Protein
KW - Natriuretic Peptide, Brain
KW - Peptide Fragments
KW - Cytokines
U2 - 10.1136/heartjnl-2022-321959
DO - 10.1136/heartjnl-2022-321959
M3 - SCORING: Journal article
C2 - 36801832
VL - 109
SP - 1000
EP - 1006
JO - HEART
JF - HEART
SN - 1355-6037
IS - 13
ER -
