Evidence mapPaperPMID 40727451Full record

ArticleFrontiers in physiology2025

Mechanical signaling regulates vascular smooth muscle cell adaptation in aging.

Amin Mohajeri, Song Yi Shin, Samuel Padgham, Devon J Boland, Dana Pittman Ratterree, Jacob Blizman, Gang Han, Christopher R Woodman, Andreea Trache

Abstract read
In one paragraph

Article in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Amin MohajeriDepartment of Kinesiology and Sport Management, Texas A&M University, College Station, TX, United States.
Song Yi ShinDepartment of Kinesiology and Sport Management, Texas A&M University, College Station, TX, United States.
Samuel PadghamDepartment of Medical Physiology, Texas A&M University Health Science Center, Bryan, TX, United States.
Devon J BolandTexas A&M Institute for Genome Sciences & Society, Texas A&M University, College Station, TX, United States.
Dana Pittman RatterreeDepartment of Epidemiology and Statistics, Texas A&M University School of Public Health, College Station, TX, United States.
Jacob BlizmanDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, United States.
Gang HanDepartment of Epidemiology and Statistics, Texas A&M University School of Public Health, College Station, TX, United States.
Christopher R WoodmanDepartment of Kinesiology and Sport Management, Texas A&M University, College Station, TX, United States.
Andreea TracheDepartment of Medical Physiology, Texas A&M University Health Science Center, Bryan, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is an independent risk factor for cardiovascular disease. Preventing age-induced arterial dysfunction and the associated risk of cardiovascular disease remains a significant clinical challenge. Aerobic exercise, which induces a temporary increase in both blood flow and pressure in active tissue, has been shown to reduce macroscale arterial stiffening in humans. This study investigates the effects of mechanical stimuli on improving aging pathophysiology of vascular smooth muscle (VSM) cells isolated from soleus feed arteries (SFA). We hypothesized that age-induced impairment of VSM contractility can be rescued by mechanical stimulation that enhances formation of smooth muscle alpha-actin (SMα-actin) fibers and cell-matrix adhesions in aged VSM cells.

Indexed as

actinagingintegrinsmechanical stimulationvascular smooth muscle

Identifiers

PMID40727451
PMCPMC12301766

What Socratic holds

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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 Socratic graph.