Evidence map›Paper›PMID 33308143›Full record

ArticleBMC cardiovascular disorders2020

Label-free optical biomarkers detect early calcific aortic valve disease in a wild-type mouse model.

Ishita Tandon, Shelby Johns, Alan Woessner, Jessica Perez, Delaney Cross, Asya Ozkizilcik, Timothy J Muldoon, Srikanth Vallurupalli, Muralidhar Padala, Kyle P Quinn and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2020. 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
0.4field-weighted citation impact, top 31% 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.

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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

11 authors at 3 institutions in 1 country.

Ishita TandonDepartment of Biomedical Engineering, University of Arkansas, 122 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA.
Shelby JohnsDepartment of Biomedical Engineering, University of Arkansas, 122 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA.
Alan WoessnerDepartment of Biomedical Engineering, University of Arkansas, 122 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA.
Jessica PerezDepartment of Biomedical Engineering, University of Arkansas, 122 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA.
Delaney CrossDepartment of Biomedical Engineering, University of Arkansas, 122 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA.
Asya OzkizilcikDepartment of Biomedical Engineering, University of Arkansas, 122 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA.
Timothy J MuldoonDepartment of Biomedical Engineering, University of Arkansas, 122 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA.
Srikanth VallurupalliDivision of Cardiology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
Muralidhar PadalaDivision of Cardiothoracic Surgery, Joseph P. Whitehead Department of Surgery, Emory University, Atlanta, GA, 30322, USA.
Kyle P QuinnDepartment of Biomedical Engineering, University of Arkansas, 122 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA.
Kartik BalachandranDepartment of Biomedical Engineering, University of Arkansas, 122 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA. kbalacha@uark.edu.ORCID 0000-0002-8550-822X
University of Arkansas at Fayetteville · USEmory University · USUniversity of Arkansas for Medical Sciences · US

Funding

In vivo label-free characterization of aged skin to predict delayed wound healingR01AG056560 · NIA · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI QUINN, KYLE PATRICK · 2017 to 2021
$1.7M
Non-invasive label-free quantitative imaging for chronic wound characterizationR00EB017723 · NIBIB · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI QUINN, KYLE PATRICK · 2015 to 2017
$745k
American Heart Association 18AIREA33900098American Heart Association 19PRE34370061National Science Foundation CBET-1846853National Science Foundation CMMI-1452943NIA NIH HHS R01 AG056560NIBIB NIH HHS R00 EB017723NIH HHS 1R01HL13366701A1NIH HHS 1R01HL13514501A1NIH HHS 1R01HL14032501A1NIH HHS 1R01HL14471401A1NIH HHS R00EB017723NIH HHS R01AG056560
6 · The paper itself

Abstract

backgroundCalcific aortic valve disease (CAVD) pathophysiology is a complex, multistage process, usually diagnosed at advanced stages after significant anatomical and hemodynamic changes in the valve. Early detection of disease progression is thus pivotal in the development of prevention and mitigation strategies. In this study, we developed a diet-based, non-genetically modified mouse model for early CAVD progression, and explored the utility of two-photon excited fluorescence (TPEF) microscopy for early detection of CAVD progression. TPEF imaging provides label-free, non-invasive, quantitative metrics with the potential to correlate with multiple stages of CAVD pathophysiology including calcium deposition, collagen remodeling and osteogenic differentiation.

methodsTwenty-week old C57BL/6J mice were fed either a control or pro-calcific diet for 16 weeks and monitored via echocardiography, histology, immunohistochemistry, and quantitative polarized light imaging. Additionally, TPEF imaging was used to quantify tissue autofluorescence (A) at 755 nm, 810 nm and 860 nm excitation, to calculate TPEF 755-860 ratio (A

resultsPro-calcific mice showed evidence of lipid deposition at 4 weeks and calcification at 16 weeks at the valve commissures. The valves of pro-calcific mice also showed positive expression for markers of osteogenic differentiation, myofibroblast activation, proliferation, inflammatory cytokines and collagen remodeling. Pro-calcific mice exhibited lower TPEF autofluorescence ratios, at locations coincident with calcification, that correlated with increased collagen disorganization and positive expression of osteogenic markers. Additionally, locations with lower TPEF autofluorescence ratios at 4 and 16 weeks exhibited increased calcification at later 28-week timepoints.

conclusionsThis study suggests the potential of TPEF autofluorescence metrics to serve as a label-free tool for early detection and monitoring of CAVD pathophysiology.

Indexed as

Microscopy, Fluorescence, MultiphotonAnimalsAortic ValveAortic Valve StenosisBiomarkersCalcinosisDisease Models, AnimalDisease ProgressionEarly DiagnosisMaleMice, Inbred C57BLPredictive Value of TestsTime FactorsBiomarkersCalcific aortic valve diseaseTwo-photon excited fluorescence microscopyValve calcificationWild-type mouse model

Identifiers

PMID33308143
PMCPMC7731510
OpenAlexW3111544765

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Registered trials

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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.