Evidence map›Paper›PMID 35032456›Full record

ArticleBiophysical journal2022

Myofibril orientation as a metric for characterizing heart disease.

Weikang Ma, Henry Gong, Vivek Jani, Kyoung Hwan Lee, Maicon Landim-Vieira, Maria Papadaki, Jose R Pinto, M Imran Aslam, Anthony Cammarato, Thomas Irving

Open access · hybridAbstract read
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 35 citations in OpenAlex.

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  12. The distinctive mechanical and structural signatures of residual force enhancement in myofibers.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  15. Myosin in autoinhibitedProceedings of the National Academy of Sciences of the United States of America · 2024
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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

10 authors at 6 institutions in 1 country.

Weikang MaBioCAT, Department of Biology, Illinois Institute of Technology, Chicago, Illinois. Electronic address: wma6@iit.edu.
Henry GongBioCAT, Department of Biology, Illinois Institute of Technology, Chicago, Illinois.
Vivek JaniDepartment of Biomedical Engineering, The Johns Hopkins School of Medicine, The Johns Hopkins University, Baltimore, Maryland; Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Kyoung Hwan LeeDivision of Cell Biology and Imaging, Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts.
Maicon Landim-VieiraDepartment of Biomedical Sciences, Florida State University, Tallahassee, Florida.
Maria PapadakiDepartment of Cell and Molecular Physiology, Loyola University Chicago, Chicago, Illinois.
Jose R PintoDepartment of Biomedical Sciences, Florida State University, Tallahassee, Florida.
M Imran AslamDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Anthony CammaratoDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Thomas IrvingBioCAT, Department of Biology, Illinois Institute of Technology, Chicago, Illinois.
Johns Hopkins University · USFlorida State University · USIllinois Institute of Technology · USIIT Research Institute · USLoyola University Chicago · USUniversity of Massachusetts Chan Medical School · US

Funding

PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2M
The Biophysics Collaborative Access Team (User Training and Outreach)P30GM138395 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI THOMAS C IRVING · 2021 to 2026
$16.5M
Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
Time resolved SAXS studies on the RP2/Arl3 complex pp.484-485P41GM103622 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI IRVING, THOMAS C · 2012 to 2020
$11.9M
Mechanism of regulation of cardiac contraction by phosphorylation of myosin binding protein CR01HL139883 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI CRAIG, ROGER W, RALPHE, JOHN CARTER · 2018 to 2021
$2.7M
Modulators of Cardiomyopathic DiseasesR01HL128683 · NHLBI · FLORIDA STATE UNIVERSITY · PI PINTO, JOSE RENATO · 2016 to 2020
$1.8M
NHLBI NIH HHS R01 HL128683NHLBI NIH HHS R01 HL139883NHLBI NIH HHS T32 HL007227NIGMS NIH HHS P30 GM138395NIGMS NIH HHS P41 GM103622NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

Myocyte disarray is a hallmark of many cardiac disorders. However, the relationship between alterations in the orientation of individual myofibrils and myofilaments to disease progression has been largely underexplored. This oversight has predominantly been because of a paucity of methods for objective and quantitative analysis. Here, we introduce a novel, less-biased approach to quantify myofibrillar and myofilament orientation in cardiac muscle under near-physiological conditions and demonstrate its superiority as compared with conventional histological assessments. Using small-angle x-ray diffraction, we first investigated changes in myofibrillar orientation at increasing sarcomere lengths in permeabilized, relaxed, wild-type mouse myocardium from the left ventricle by assessing the angular spread of the 1,0 equatorial reflection (angle σ). At a sarcomere length of 1.9 μm, the angle σ was 0.23 ± 0.01 rad, decreased to 0.19 ± 0.01 rad at a sarcomere length of 2.1 μm, and further decreased to 0.15 ± 0.01 rad at a sarcomere length of 2.3 μm (p < 0.0001). Angle σ was significantly larger in R403Q, a MYH7 hypertrophic cardiomyopathy model, porcine myocardium (0.24 ± 0.01 rad) compared with wild-type myocardium (0.14 ± 0.005 rad; p < 0.0001), as well as in human heart failure tissue (0.19 ± 0.006 rad) when compared with nonfailing samples (0.17 ± 0.007 rad; p = 0.01). These data indicate that diseased myocardium suffers from greater myofibrillar disorientation compared with healthy controls. Finally, we showed that conventional, histology-based analysis of disarray can be subject to user bias and/or sampling error and lead to false positives. Our method for directly assessing myofibrillar orientation avoids the artifacts introduced by conventional histological approaches that assess myocyte orientation and only indirectly evaluate myofibrillar orientation, and provides a precise and objective metric for phenotypically characterizing myocardium. The ability to obtain excellent x-ray diffraction patterns from frozen human myocardium provides a new tool for investigating structural anomalies associated with cardiac diseases.

Indexed as

Cardiomyopathy, HypertrophicMyofibrilsAnimalsHeart VentriclesMiceMyocardial ContractionMyocardiumSarcomeresSwine

Identifiers

PMID35032456
PMCPMC8874025
OpenAlexW4220687659

What OpenQuestion holds

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LicenceCC BY
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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.