Evidence map›Paper›PMID 37712923›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2023

Mechanistic insights on age-related changes in heart-aorta-brain hemodynamic coupling using a pulse wave model of the entire circulatory system.

Arian Aghilinejad, Faisal Amlani, Sohrab P Mazandarani, Kevin S King, Niema M Pahlevan

Open access · hybridAbstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. [Research progress in central aortic pressure estimation algorithms].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
  5. A spectral machine learning approach to derive central aortic pressure waveforms from a brachial cuff.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Arian AghilinejadDepartment of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, California, United States.ORCID 0000-0001-5231-427X
Faisal AmlaniLaboratoire de Mécanique Paris-Saclay, Université Paris-Saclay, Paris, France.
Sohrab P MazandaraniDepartment of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States.
Kevin S KingBarrow Neurological Institute, Phoenix, Arizona, United States.
Niema M PahlevanDepartment of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, California, United States.ORCID 0000-0001-7498-0396
University of Southern California · USBarrow Neurological Institute · USUniversité Paris-Saclay · FR

Funding

Hemodynamic Mechanisms Linking Aortic Arch Stiffness with Brain Insult in Older AdultsR56AG068630 · NIA · ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER · PI KING, KEVIN SAM, PAHLEVAN, NIEMA · 2020 to 2020
$710k
NIA NIH HHS R56 AG068630
6 · The paper itself

Abstract

Age-related changes in aortic biomechanics can impact the brain by reducing blood flow and increasing pulsatile energy transmission. Clinical studies have shown that impaired cardiac function in patients with heart failure is associated with cognitive impairment. Although previous studies have attempted to elucidate the complex relationship between age-associated aortic stiffening and pulsatility transmission to the cerebral network, they have not adequately addressed the effect of interactions between aortic stiffness and left ventricle (LV) contractility (neither on energy transmission nor on brain perfusion). In this study, we use a well-established and validated one-dimensional blood flow and pulse wave computational model of the circulatory system to address how age-related changes in cardiac function and vasculature affect the underlying mechanisms involved in the LV-aorta-brain hemodynamic coupling. Our results reveal how LV contractility affects pulsatile energy transmission to the brain, even with preserved cardiac output. Our model demonstrates the existence of an optimal heart rate (near the normal human heart rate) that minimizes pulsatile energy transmission to the brain at different contractility levels. Our findings further suggest that the reduction in cerebral blood flow at low levels of LV contractility is more prominent in the setting of age-related aortic stiffening. Maintaining optimal blood flow to the brain requires either an increase in contractility or an increase in heart rate. The former consistently leads to higher pulsatile power transmission, and the latter can either increase or decrease subsequent pulsatile power transmission to the brain.

Indexed as

HeartVascular StiffnessAortaBlood PressureBrainHeart RateHemodynamicsHumansagingarterial stiffeninghemodynamicsvascular dementia

Identifiers

PMID37712923
PMCPMC10908406
OpenAlexW4386757289

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.