scholarly journals HEART AND AGE (PART II): CLINICAL MANIFESTATIONS OF AGEING

2013 ◽  
Vol 12 (4) ◽  
pp. 86-90 ◽  
Author(s):  
D. U. Akasheva ◽  
E. V. Plokhova ◽  
I. D. Strazhesko ◽  
E. N. Dudinskaya ◽  
O. N. Tkacheva

Ageing is an inevitable process which affects quality of life and reduces life expectancy. Age-related cardiac changes reduce compensatory reserves of the heart and accelerate the disease development. Such changes in cardiac structure and function, observed in the absence of cardiovascular disease (CVD), are considered age-related. However, taking into account the high prevalence of CVD in the elderly, it is problematic to define the genuine cardiac ageing. This review discusses a range of subclinical cardiac conditions which are common in older people. 

Author(s):  
Wilson Nadruz ◽  
Brian Claggett ◽  
Alexandra Gonçalves ◽  
Gabriela Querejeta-Roca ◽  
Miguel M. Fernandes-Silva ◽  
...  

2020 ◽  
Vol 126 (4) ◽  
pp. 533-551 ◽  
Author(s):  
Haobo Li ◽  
Margaret H. Hastings ◽  
James Rhee ◽  
Lena E. Trager ◽  
Jason D. Roh ◽  
...  

During aging, deterioration in cardiac structure and function leads to increased susceptibility to heart failure. The need for interventions to combat this age-related cardiac decline is becoming increasingly urgent as the elderly population continues to grow. Our understanding of cardiac aging, and aging in general, is limited. However, recent studies of age-related decline and its prevention through interventions like exercise have revealed novel pathological and cardioprotective pathways. In this review, we summarize recent findings concerning the molecular mechanisms of age-related heart failure and highlight exercise as a valuable experimental platform for the discovery of much-needed novel therapeutic targets in this chronic disease.


Author(s):  
Alexandra Gonçalves ◽  
Pardeep S. Jhund ◽  
Brian Claggett ◽  
Amil M. Shah ◽  
Suma Konety ◽  
...  

2022 ◽  
Author(s):  
Tanushree Agrawal ◽  
Sherif F. Nagueh

Aging is associated with progressive changes in cardiac structure and function. The prevalence of cardiovascular risk factors and disease also increases profoundly with advancing age. Therefore, understanding the spectrum of physiological changes in the aging heart is crucial for the identification and risk stratification of cardiovascular disease. In this review, we discuss echocardiographic features of age-related cardiac remodeling.


2020 ◽  
Vol 7 (3) ◽  
pp. 1344-1361
Author(s):  
Fei Fei Gong ◽  
Jennifer M. Coller ◽  
Michele McGrady ◽  
Umberto Boffa ◽  
Louise Shiel ◽  
...  

2013 ◽  
Vol 12 (1) ◽  
pp. 85-91 ◽  
Author(s):  
Odilson Marcos Silvestre ◽  
Fernando Bacal ◽  
Danusa de Souza Ramos ◽  
Jose L. Andrade ◽  
Meive Furtado ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kristi Powers ◽  
Raymond Chang ◽  
Justin Torello ◽  
Rhonda Silva ◽  
Yannick Cadoret ◽  
...  

AbstractEchocardiography is a widely used and clinically translatable imaging modality for the evaluation of cardiac structure and function in preclinical drug discovery and development. Echocardiograms are among the first in vivo diagnostic tools utilized to evaluate the heart due to its relatively low cost, high throughput acquisition, and non-invasive nature; however lengthy manual image analysis, intra- and inter-operator variability, and subjective image analysis presents a challenge for reproducible data generation in preclinical research. To combat the image-processing bottleneck and address both variability and reproducibly challenges, we developed a semi-automated analysis algorithm workflow to analyze long- and short-axis murine left ventricle (LV) ultrasound images. The long-axis B-mode algorithm executes a script protocol that is trained using a reference library of 322 manually segmented LV ultrasound images. The short-axis script was engineered to analyze M-mode ultrasound images in a semi-automated fashion using a pixel intensity evaluation approach, allowing analysts to place two seed-points to triangulate the local maxima of LV wall boundary annotations. Blinded operator evaluation of the semi-automated analysis tool was performed and compared to the current manual segmentation methodology for testing inter- and intra-operator reproducibility at baseline and after a pharmacologic challenge. Comparisons between manual and semi-automatic derivation of LV ejection fraction resulted in a relative difference of 1% for long-axis (B-mode) images and 2.7% for short-axis (M-mode) images. Our semi-automatic workflow approach reduces image analysis time and subjective bias, as well as decreases inter- and intra-operator variability, thereby enhancing throughput and improving data quality for pre-clinical in vivo studies that incorporate cardiac structure and function endpoints.


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