Evidence map›Paper›PMID 34727208›Full record

ArticleHeart and vessels2022

Differential proteome profile, biological pathways, and network relationships of osteogenic proteins in calcified human aortic valves.

Richard I Han, Chenyue W Hu, David S Loose, Li Yang, Li Li, Jennifer P Connell, Michael J Reardon, Gerald M Lawrie, Amina A Qutub, Joel D Morrisett and 1 more

Open access · greenAbstract read
In one paragraph

Article in Heart and vessels, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Multi-omics ofFrontiers in cardiovascular medicine · 2022
    Article
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

11 authors at 6 institutions in 1 country.

Richard I HanDepartment of Bioengineering, Rice University, 6100 Main Street, MS-142, Houston, TX, 77030, USA.
Chenyue W HuDepartment of Bioengineering, Rice University, 6100 Main Street, MS-142, Houston, TX, 77030, USA.
David S LooseDepartment of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Li YangDepartment of Pathology, University of Washington, Seattle, WA, USA.
Li LiClinical and Translational Proteomics Service Center, University of Texas Health Sciences at Houston, Houston, TX, USA.
Jennifer P ConnellDepartment of Bioengineering, Rice University, 6100 Main Street, MS-142, Houston, TX, 77030, USA.
Michael J ReardonMethodist DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston, TX, USA.
Gerald M LawrieMethodist DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston, TX, USA.
Amina A QutubDepartment of Biomedical Engineering, University of Texas at San Antonio, San Antonio, TX, USA.
Joel D MorrisettDivision of Atherosclerosis and Vascular Medicine, Departments of Medicine, Baylor College of Medicine, Houston, TX, USA.
K Jane Grande-AllenDepartment of Bioengineering, Rice University, 6100 Main Street, MS-142, Houston, TX, 77030, USA. grande@rice.edu.ORCID http://orcid.org/0000-0003-1533-3767
Rice University · USBaylor College of Medicine · USHouston Methodist · USThe University of Texas Health Science Center at Houston · USThe University of Texas at San Antonio · USUniversity of Washington · US

Funding

ATHEROSCLEROSIS AND VASCULAR BIOLOGY TRAINING CENTERT32HL007812 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL · 1997 to 2012
$3.4M
Shared Mechanisms of Valvular and Vascular CalcificationR21HL104377 · NHLBI · RICE UNIVERSITY · PI GRANDE-ALLEN, KATHRYN JANE, MORRISETT, JOEL DAVID · 2010 to 2012
$493k
NHLBI NIH HHS R21 HL104377NHLBI NIH HHS T32 HL007812NHLBI NIH HHS T32 HL07812
6 · The paper itself

Abstract

Calcific aortic valve disease (CAVD) is the most common heart valve disease requiring intervention. Most research on CAVD has focused on inflammation, ossification, and cellular phenotype transformation. To gain a broader picture into the wide range of cellular and molecular mechanisms involved in this disease, we compared the total protein profiles between calcified and non-calcified areas from 5 human valves resected during surgery. The 1413 positively identified proteins were filtered down to 248 proteins present in both calcified and non-calcified segments of at least 3 of the 5 valves, which were then analyzed using Ingenuity Pathway Analysis. Concurrently, the top 40 differentially abundant proteins were grouped according to their biological functions and shown in interactive networks. Finally, the abundance of selected osteogenic proteins (osteopontin, osteonectin, osteocalcin, osteoprotegerin, and RANK) was quantified using ELISA and/or immunohistochemistry. The top pathways identified were complement system, acute phase response signaling, metabolism, LXR/RXR and FXR/RXR activation, actin cytoskeleton, mineral binding, nucleic acid interaction, structural extracellular matrix (ECM), and angiogenesis. There was a greater abundance of osteopontin, osteonectin, osteocalcin, osteoprotegerin, and RANK in the calcified regions than the non-calcified ones. The osteogenic proteins also formed key connections between the biological signaling pathways in the network model. In conclusion, this proteomic analysis demonstrated the involvement of multiple signaling pathways in CAVD. The interconnectedness of these pathways provides new insights for the treatment of this disease.

Indexed as

Aortic Valve StenosisCalcinosisAortic ValveHumansOsteogenesisProteomeProteomicsProteomeAortic valveCalcificationPathwaysProteomics

Identifiers

PMID34727208
PMCPMC10960607
OpenAlexW3208471861

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.