Evidence map›Paper›PMID 23788441›Full record

ReviewProteomics. Clinical applications2013

Can proteomics yield insight into aging aorta?

Zongming Fu, Mingyi Wang, Allen Everett, Edward Lakatta, Jennifer Van Eyk

Abstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. The Pressure of Aging.The Medical clinics of North America · 2017
    Review
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

5 authors.

Zongming FuDepartment of Pediatrics, The Johns Hopkins University, Baltimore, MD 21224, USA.
Mingyi Wang
Allen Everett
Edward Lakatta
Jennifer Van Eyk

Funding

Pathobiology of Cardiac Dyssynchrony &ResynchronizationP01HL077180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ABRAHAM, THEODORE P · 2004 to 2014
$22.8M
Genomic and Proteomic Architecture of AtherosclerosisR01HL111362 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HERRINGTON, DAVID MCLEOD · 2012 to 2021
$17.2M
Age-Associated Changes in Arterial Proteome and Aortic Smooth Muscle SignalingZIAAG000237 · NIA · NATIONAL INSTITUTE ON AGING · PI LAKATTA, EDWARD · 2009 to 2025
$4.9M
Progression of Arterial Aging: the Local MCP-1/MMP-2/TGF-beta 1 Signaling LoopZIAAG000240 · NIA · NATIONAL INSTITUTE ON AGING · PI WANG, MINGYI · 2009 to 2025
$4.6M
CALPONIN AND DIFFERENTIATED VASCULAR SMOOTH MUSCLEF32HL010026 · NHLBI · UNIVERSITY OF NEVADA RENO · PI LEINWEBER, BARBARA D · 1998 to 2000
$38k
Intramural NIH HHSNHLBI NIH HHS 1R01HL111362-01ANHLBI NIH HHS F32 HL010026NHLBI NIH HHS HHSN268201000032CNHLBI NIH HHS NHLBI-HV-10-05NHLBI NIH HHS P01 HL077180NHLBI NIH HHS P01 HL10026NHLBI NIH HHS R01 HL111362
6 · The paper itself

Abstract

The aging aorta exhibits structural and physiological changes that are reflected in the proteome of its component cells types. The advance in proteomic technologies has made it possible to analyze the quantity of proteins associated with the natural history of aortic aging. These alterations reflect the molecular and cellular mechanisms of aging and could provide an opportunity to predict vascular health. This paper focuses on whether discoveries stemming from the application of proteomic approaches of the intact aging aorta or vascular smooth muscle cells can provide useful insights. Although there have been limited studies to date, a number of interesting proteins have been identified that are closely associated with aging in the rat aorta. Such proteins, including milk fat globule-EGF factor 8, matrix metalloproteinase type-2, and vitronectin, could be used as indicators of vascular health, or even explored as therapeutic targets for aging-related vascular diseases.

Indexed as

AgingAnimalsAortaBiomarkersHumansProteomicsVascular DiseasesBiomarkersAging aortaBiomarkerMilk fat globule-EGF factor 8Therapeutic target

Identifiers

PMID23788441
PMCPMC4429130

What OpenQuestion 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 OpenQuestion graph.