Evidence map›Paper›PMID 29626500›Full record

ReviewMechanisms of ageing and development2019

The role of the cell-matrix interface in aging and its interaction with the renin-angiotensin system in the aged vasculature.

Maria De Luca

Abstract readReview
In one paragraph

Review in Mechanisms of ageing and development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Maria De LucaDepartment of Nutrition Sciences, University of Alabama at Birmingham, Webb 451-1720 2nd Ave S, Birmingham, AL, 35294-3360, USA. Electronic address: mdeluca2@uab.edu.
University of Alabama at Birmingham · US

Funding

Genetic control of quantitative traits associated with the metabolic syndromeR01DK084219 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DE LUCA, MARIA · 2010 to 2013
$1.3M
NIDDK NIH HHS R01 DK084219
6 · The paper itself

Abstract

The extracellular matrix (ECM) is an intricate network that provides structural and anchoring support to cells in order to stabilize cell morphology and tissue architecture. The ECM also controls many aspects of the cell's dynamic behavior and fate through its ongoing, bidirectional interaction with cells. These interactions between the cell and components of the surrounding ECM are implicated in several biological processes, including development and adult tissue repair in response to injury, throughout the lifespan of multiple species. The present review gives an overview of the growing evidence that cell-matrix interactions play a pivotal role in the aging process. The focus of the first part of the article is on recent studies using cell-derived decellularized ECM, which strongly suggest that age-related changes in the ECM induce cellular senescence, a well-recognized hallmark of aging. This is followed by a review of findings from genetic studies indicating that changes in genes involved in cell-ECM adhesion and matrix-mediated intracellular signaling cascades affect longevity. Finally, mention is made of novel data proposing an intricate interplay between cell-matrix interactions and the renin-angiotensin system that may have a significant impact on mammalian arterial stiffness with age.

Indexed as

Renin-Angiotensin SystemVascular StiffnessAgingAnimalsArteriesExtracellular MatrixHumansArterial stiffnessCellular senescenceFibronectinIntegrinReactive oxygen species

Identifiers

PMID29626500
PMCPMC6170735
OpenAlexW2795515883

What OpenQuestion holds

Textmetadata
LicenceTDM
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.