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Defects in Vascular Mechanics Due to Aging in Rats: Studies on Arterial Wave Properties from a Single Aortic Pressure Pulse

Overview of attention for article published in Frontiers in Physiology, July 2017
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Title
Defects in Vascular Mechanics Due to Aging in Rats: Studies on Arterial Wave Properties from a Single Aortic Pressure Pulse
Published in
Frontiers in Physiology, July 2017
DOI 10.3389/fphys.2017.00503
Pubmed ID
Authors

Chun-Yi Chang, Ru-Wen Chang, Shu-Hsien Hsu, Ming-Shiou Wu, Ya-Jung Cheng, Hsien-Li Kao, Liang-Chuan Lai, Chih-Hsien Wang, Kuo-Chu Chang

Abstract

Changes in vascular mechanics due to aging include elevated vascular impedance, diminished aorta distensibility, and an accelerated return of pulse wave reflection, which may increase the systolic workload on the heart. Classically, the accurate measurement of vascular mechanics requires the simultaneous recording of aortic pressure and flow signals. In practice, it is feasible to estimate arterial wave properties in terms of wave transit time (τw) and wave reflection index (RI) by using aortic pressure signal alone. In this study, we determined the τ w and magnitudes of the forward (∣Pf ∣) and backward (∣Pb ∣) pressure waves in Long-Evans male rats aged 4 (n = 14), 6 (n = 17), 12 (n = 17), and 18 (n = 24) months, based on the measured aortic pressure and an assumed triangular flow (Q(tri)). The pulsatile pressure wave was the only signal recorded in the ascending aorta by using a high-fidelity pressure sensor. The base of the unknown Q(tri) was constructed using a duration, which equals to the ejection time. The timing at the peak of the triangle was derived using the fourth-order derivative of the aortic pressure waveform. In the 18-month-old rats, the ratio of τ w to left ventricular ejection time (LVET) decreased, indicating a decline in the distensibility of the aorta. The increased ∣Pb ∣ associated with unaltered ∣Pf ∣ enhanced the RI in the older rats. The augmentation index (AI) also increased significantly with age. A significant negative correlation between the AI and τ w /LVET was observed: AI = -0.7424 - 0.9026 × (τ w /LVET) (r = 0.4901; P < 0.0001). By contrast, RI was positively linearly correlated with the AI as follows: AI = -0.4844 + 2.3634 × RI (r = 0.8423; P < 0.0001). Both the decreased τ w /LVET and increased RI suggested that the aging process may increase the AI, thereby increasing the systolic hydraulic load on the heart. The novelty of the study is that Q(tri) is constructed using the measured aortic pressure wave to approximate its corresponding flow signal, and that calibration of Q(tri) is not essential in the analysis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Other 1 10%
Student > Ph. D. Student 1 10%
Student > Doctoral Student 1 10%
Researcher 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 2 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Agricultural and Biological Sciences 1 10%
Nursing and Health Professions 1 10%
Other 2 20%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2017.
All research outputs
#20,434,884
of 22,988,380 outputs
Outputs from Frontiers in Physiology
#9,452
of 13,740 outputs
Outputs of similar age
#272,348
of 312,390 outputs
Outputs of similar age from Frontiers in Physiology
#199
of 273 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,740 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.