Literature DB >> 27812747

Wave intensity analysis in mice: age-related changes in WIA peaks and correlation with cardiac indexes.

Nicole Di Lascio1,2, Claudia Kusmic3, Francesco Stea3,4, Francesco Faita3.   

Abstract

Mouse models are increasingly employed in the comprehension of cardiovascular disease. Wave Intensity Analysis (WIA) can provide information about the interaction between the vascular and the cardiac system. We investigate age-associated changes in WIA-derived parameters in mice and correlate them with biomarkers of cardiac function. Sixteen wild-type male mice were imaged with high-resolution ultrasound (US) at 8 weeks (T 0) and 25 weeks (T 1) of age. Carotid pulse wave velocity (PWV) was calculated from US images using the diameter-velocity loop and employed to evaluate WIA. Amplitudes of the first (W 1) and the second (W 2) local maxima, local minimum (W b) and the reflection index (RI = W b/W 1) were assessed. Cardiac output (CO), ejection fraction (EF), fractional shortening (FS) and stroke volume (SV) were evaluated; longitudinal, radial and circumferential strain and strain rate values (LS, LSR, RS, RSR, CS, CSR) were obtained through strain analysis. W 1 (T 0: 4.42e-07 ± 2.32e-07 m2/s; T 1: 2.21e-07 ± 9.77 m2/s), W 2 (T 0: 2.45e-08 ± 9.63e-09 m2/s; T 1: 1.78e-08 ± 7.82 m2/s), W b (T 0: -8.75e-08 ± 5.45e-08 m2/s; T 1: -4.28e-08 ± 2.22e-08 m2/s), CO (T 0: 19.27 ± 4.33 ml/min; T 1: 16.71 ± 2.88 ml/min), LS (T 0: 17.55 ± 3.67%; T 1: 15.05 ± 2.89%), LSR (T 0: 6.02 ± 1.39 s-1; T 1: 5.02 ± 1.25 s-1), CS (T 0: 27.5 ± 5.18%; T 1: 22.66 ± 3.09%) and CSR (T 0: 10.03 ± 2.55 s-1; T 1: 7.50 ± 1.84 s-1) significantly reduced with age. W 1 was significantly correlated with CO (R = 0.58), EF (R = 0.72), LS (R = 0.65), LSR (R = 0.89), CS (R = 0.61), CSR (R = 0.70) at T 0; correlations were lost at T 1. The decrease in W 1 and W 2 suggests a cardiac performance reduction, while that in Wb, considering unchanged RI, might indicate a wave energy decrease. The loss of correlation between WIA-derived and cardiac parameters might reflect an alteration in cardiovascular interaction.

Entities:  

Keywords:  Aging; Cardiovascular interaction; Mouse models; Wave intensity analysis

Mesh:

Year:  2016        PMID: 27812747     DOI: 10.1007/s00380-016-0914-y

Source DB:  PubMed          Journal:  Heart Vessels        ISSN: 0910-8327            Impact factor:   2.037


  30 in total

Review 1.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association.

Authors:  Manuel D Cerqueira; Neil J Weissman; Vasken Dilsizian; Alice K Jacobs; Sanjiv Kaul; Warren K Laskey; Dudley J Pennell; John A Rumberger; Thomas Ryan; Mario S Verani
Journal:  Circulation       Date:  2002-01-29       Impact factor: 29.690

Review 2.  Modulation of interaction between left ventricular ejection and the arterial compartment: assessment of aortic wave travel.

Authors:  C J Jones; J Goodfellow; R A Bleasdale; M P Frenneaux
Journal:  Heart Vessels       Date:  2000       Impact factor: 2.037

3.  Effect of healthy aging on left ventricular relaxation and diastolic suction.

Authors:  Graeme Carrick-Ranson; Jeffrey L Hastings; Paul S Bhella; Shigeki Shibata; Naoki Fujimoto; M Dean Palmer; Kara Boyd; Benjamin D Levine
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-06-01       Impact factor: 4.733

Review 4.  Small animal models of cardiovascular disease: tools for the study of the roles of metabolic syndrome, dyslipidemia, and atherosclerosis.

Authors:  James C Russell; Spencer D Proctor
Journal:  Cardiovasc Pathol       Date:  2006 Nov-Dec       Impact factor: 2.185

5.  Determination of wave speed and wave separation in the arteries using diameter and velocity.

Authors:  J Feng; A W Khir
Journal:  J Biomech       Date:  2009-11-04       Impact factor: 2.712

6.  Wall shear stress in the human common carotid artery as function of age and gender.

Authors:  S K Samijo; J M Willigers; R Barkhuysen; P J Kitslaar; R S Reneman; P J Brands; A P Hoeks
Journal:  Cardiovasc Res       Date:  1998-08       Impact factor: 10.787

7.  Time-dependent systolic and diastolic function in mice overexpressing calcineurin.

Authors:  L M Semeniuk; D L Severson; A J Kryski; S L Swirp; J D Molkentin; H J Duff
Journal:  Am J Physiol Heart Circ Physiol       Date:  2002-10-17       Impact factor: 4.733

8.  Echocardiographic speckle-tracking based strain imaging for rapid cardiovascular phenotyping in mice.

Authors:  Michael Bauer; Susan Cheng; Mohit Jain; Soeun Ngoy; Catherine Theodoropoulos; Anna Trujillo; Fen-Chiung Lin; Ronglih Liao
Journal:  Circ Res       Date:  2011-03-03       Impact factor: 17.367

9.  Non-invasive one-point carotid wave intensity in a large group of healthy subjects: A ventricular-arterial coupling parameter.

Authors:  Olga Vriz; Concetta Zito; Vitantonio di Bello; Salvatore La Carrubba; Caterina Driussi; Scipione Carerj; Eduardo Bossone; Francesco Antonini-Canterin
Journal:  Heart Vessels       Date:  2014-12-18       Impact factor: 2.037

10.  Ultrahigh frame rate retrospective ultrasound microimaging and blood flow visualization in mice in vivo.

Authors:  Emmanuel Chérin; Ross Williams; Andrew Needles; Godwin Liu; Christopher White; Allison S Brown; Yu-Qing Zhou; F Stuart Foster
Journal:  Ultrasound Med Biol       Date:  2006-05       Impact factor: 2.998

View more
  1 in total

1.  Impact of chronic hypoxia on proximal pulmonary artery wave propagation and mechanical properties in rats.

Authors:  Junjing Su; Charmilie C Logan; Alun D Hughes; Kim H Parker; Niti M Dhutia; Carl Christian Danielsen; Ulf Simonsen
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-03-16       Impact factor: 4.733

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.