Evidence map›Paper›PMID 28819303›Full record

ArticleScientific reports2017

Automated Segmentation of Light-Sheet Fluorescent Imaging to Characterize Experimental Doxorubicin-Induced Cardiac Injury and Repair.

René R Sevag Packard, Kyung In Baek, Tyler Beebe, Nelson Jen, Yichen Ding, Feng Shi, Peng Fei, Bong Jin Kang, Po-Heng Chen, Jonathan Gau and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Emerging Light-Sheet Fluorescence Microscopy for Cardiac Vascular Imaging in Zebrafish.Current treatment options in cardiovascular medicine · 2026
    Review
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  13. TFEB Overexpression, Not mTOR Inhibition, Ameliorates RagCInternational journal of molecular sciences · 2021
    Article
  14. Review
  15. Article
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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

17 authors.

René R Sevag PackardDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA. rpackard@mednet.ucla.edu.
Kyung In BaekDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, CA, USA.
Tyler BeebeDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, CA, USA.
Nelson JenDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Yichen DingDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, CA, USA.ORCID 0000-0002-6242-3506
Feng ShiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID 0000-0003-1522-9943
Peng FeiSchool of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China.
Bong Jin KangDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Po-Heng ChenDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Jonathan GauDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, CA, USA.
Michael ChenDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, CA, USA.
Jonathan Y TangDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, CA, USA.
Yu-Huan ShihDepartment of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN, USA.
Yonghe DingDepartment of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN, USA.ORCID 0000-0002-4531-1721
Debiao LiDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, University of California, Los Angeles, CA, USA.
Xiaolei XuDepartment of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN, USA.
Tzung K HsiaiDivision of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA. thsiai@mednet.ucla.edu.

Funding

CARDIOVASCULAR SCIENTIST TRAINING PROGRAMT32HL007895 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHIVKUMAR, KALYANAM, WATSON, KAROL E · 1998 to 2023
$9.2M
Genetic Studies of Sarcomere-based Cardiac Diseases (Diversity Supplement)R01HL081753 · NHLBI · MAYO CLINIC ROCHESTER · PI XU, XIAOLEI · 2005 to 2025
$7.8M
Epicardial remodeling in cardiomyopathy and cardiac agingR01HL107304 · NHLBI · MAYO CLINIC ROCHESTER · PI Xiaolei Xu · 2011 to 2026
$6.6M
Linking Spatial Variations Shear Stress-Oxidative StressR01HL083015 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HSIAI, TZUNG K · 2006 to 2015
$3.9M
Electronica Impedance to Access Metabolically Active PlaqueR01HL118650 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K · 2014 to 2022
$3.3M
Micro-Sensors to Study Electrical and Mechanical Coupling of Injured MyocardiumR01HL111437 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HSIAI, TZUNG K, XU, XIAOLEI · 2012 to 2020
$3.1M
Electrical Biophysical Forces Impact Cardiac MorphogenesisR01HD069305 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHI, NEIL C · 2011 to 2015
$1.6M
NHLBI NIH HHS R01 HL081753NHLBI NIH HHS R01 HL083015NHLBI NIH HHS R01 HL107304NHLBI NIH HHS R01 HL111437NHLBI NIH HHS R01 HL118650NHLBI NIH HHS T32 HL007895NICHD NIH HHS R01 HD069305
6 · The paper itself

Abstract

This study sought to develop an automated segmentation approach based on histogram analysis of raw axial images acquired by light-sheet fluorescent imaging (LSFI) to establish rapid reconstruction of the 3-D zebrafish cardiac architecture in response to doxorubicin-induced injury and repair. Input images underwent a 4-step automated image segmentation process consisting of stationary noise removal, histogram equalization, adaptive thresholding, and image fusion followed by 3-D reconstruction. We applied this method to 3-month old zebrafish injected intraperitoneally with doxorubicin followed by LSFI at 3, 30, and 60 days post-injection. We observed an initial decrease in myocardial and endocardial cavity volumes at day 3, followed by ventricular remodeling at day 30, and recovery at day 60 (P < 0.05, n = 7-19). Doxorubicin-injected fish developed ventricular diastolic dysfunction and worsening global cardiac function evidenced by elevated E/A ratios and myocardial performance indexes quantified by pulsed-wave Doppler ultrasound at day 30, followed by normalization at day 60 (P < 0.05, n = 9-20). Treatment with the γ-secretase inhibitor, DAPT, to inhibit cleavage and release of Notch Intracellular Domain (NICD) blocked cardiac architectural regeneration and restoration of ventricular function at day 60 (P < 0.05, n = 6-14). Our approach provides a high-throughput model with translational implications for drug discovery and genetic modifiers of chemotherapy-induced cardiomyopathy.

Indexed as

Imaging, Three-DimensionalRegenerationAnimalsAutomationDoxorubicinFluorescenceHeart InjuriesMyocardiumReceptors, NotchSignal TransductionZebrafishDoxorubicinReceptors, Notch

Identifiers

PMID28819303
PMCPMC5561066

What OpenQuestion holds

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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.