Wall Shear Stress Measured with 4D Flow CMR Correlates with Biomarkers of Inflammation and Collagen Synthesis in Mild-to-Moderate Ascending Aortic Dilation and Tricuspid Aortic Valves.

4D Flow CMR Aortic dilation cardiovascular magnetic resonance circulating biomarkers wall shear stress

Journal

European heart journal. Cardiovascular Imaging
ISSN: 2047-2412
Titre abrégé: Eur Heart J Cardiovasc Imaging
Pays: England
ID NLM: 101573788

Informations de publication

Date de publication:
15 May 2024
Historique:
received: 01 02 2024
revised: 07 05 2024
accepted: 11 05 2024
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 15 5 2024
Statut: aheadofprint

Résumé

Understanding the mechanisms underlying ascending aortic dilation is imperative for refined risk stratification of these patients, particularly among incidentally identified patients, most commonly presenting with tricuspid valves. The aim of this study was to explore associations between ascending aortic hemodynamics, assessed using four-dimensional flow cardiovascular magnetic resonance imaging (4D Flow CMR), and circulating biomarkers in aortic dilation. Forty-seven cases with aortic dilation (diameter ≥40 mm) and 50 sex-and age-matched controls (diameter <40 mm), all with tricuspid aortic valves, underwent 4D flow CMR and venous blood sampling. Associations between flow displacement, wall shear stress (WSS), and oscillatory shear index in the ascending aorta derived from 4D Flow CMR, and biomarkers including interleukin-6, collagen type I α1 chain, metalloproteinases (MMPs), and inhibitors of MMPs derived from blood plasma, were investigated. Cases with dilation exhibited lower peak systolic WSS, higher flow displacement, and higher mean oscillatory shear index compared to controls without dilation. No significant differences in biomarkers were observed between the groups. Correlations between hemodynamics and biomarkers were observed, particularly between maximum time-averaged WSS and interleukin-6 (r = 0.539, p < 0.001), and maximum oscillatory shear index and collagen type I α1 chain (r = -0.575, p < 0.001 in cases). Significant associations were discovered between 4D flow CMR derived whole-cardiac cycle WSS and circulating biomarkers representing inflammation and collagen synthesis, suggesting an intricate interplay between hemodynamics and the processes of inflammation and collagen synthesis in patients with early aortic dilation and tricuspid aortic valves.

Identifiants

pubmed: 38748858
pii: 7674339
doi: 10.1093/ehjci/jeae130
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.

Auteurs

Filip Hammaréus (F)

Department of Internal Medicine in Jönköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.
Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Chiara Trenti (C)

Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.
Center for Medical Image Science and Visualization, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Hanna M Björck (HM)

Division of Cardiovascular Medicine, Center for Molecular Medicine, Department of Medicine, Karolinska Institute, Stockholm, Karolinska University Hospital, Visionsgatan 18, 171 76 Solna, Sweden.

Jan Engvall (J)

Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.
Department of Clinical Physiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Hanna Lekedal (H)

Östersund Hospital, Östersundssjukhus 831 83 Östersund, Sweden.

Aleksandra Krzynska-Trzebiatowska (A)

Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

David Kylhammare (D)

Department of Clinical Physiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.
Wallenberg Centre for Molecular Medicine, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Marcus Lindenberger (M)

Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Anna K Lundberg (AK)

Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Fredrik Nilsson (F)

Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Lennart Nilsson (L)

Department of Internal Medicine in Jönköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.
Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Eva Swahn (E)

Department of Internal Medicine in Jönköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.
Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Lena Jonasson (L)

Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.
Department of Cardiology and Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Petter Dyverfeldt (P)

Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.
Center for Medical Image Science and Visualization, Linköping University, Universitetssjukhuset, 581 83 Linköping, Sweden.

Classifications MeSH