Evidence map›Paper›PMID 34120411›Full record

ArticleJournal of cachexia, sarcopenia and muscle2021

Superiority of focused ion beam-scanning electron microscope tomography of cardiomyocytes over standard 2D analyses highlighted by unmasking mitochondrial heterogeneity.

Jacqueline Heinen-Weiler, Mike Hasenberg, Martin Heisler, Stephan Settelmeier, Anna-Lena Beerlage, Hannah Doepper, Bernd Walkenfort, Andrea Odersky, Peter Luedike, Elke Winterhager and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2021. 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
0.5field-weighted citation impact, top 38% 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, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

12 authors at 3 institutions in 2 countries.

Jacqueline Heinen-WeilerDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Mike HasenbergImaging Center Essen (IMCES), Electron Microscopy Unit (EMU), Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Martin HeislerDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Stephan SettelmeierDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Anna-Lena BeerlageDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Hannah DoepperDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Bernd WalkenfortImaging Center Essen (IMCES), Electron Microscopy Unit (EMU), Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Andrea OderskyDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Peter LuedikeDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Elke WinterhagerDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Tienush RassafDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Ulrike B Hendgen-CottaDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, Medical Faculty, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-3069-7868
West German Heart and Vascular Center Essen · DEZero to Three · USUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardioprotection by preventing or repairing mitochondrial damage is an unmet therapeutic need. To understand the role of cardiomyocyte mitochondria in physiopathology, the reliable characterization of the mitochondrial morphology and compartment is pivotal. Previous studies mostly relied on two-dimensional (2D) routine transmission electron microscopy (TEM), thereby neglecting the real three-dimensional (3D) mitochondrial organization. This study aimed to determine whether classical 2D TEM analysis of the cardiomyocyte ultrastructure is sufficient to comprehensively describe the mitochondrial compartment and to reflect mitochondrial number, size, dispersion, distribution, and morphology.

methodsSpatial distribution of the complex mitochondrial network and morphology, number, and size heterogeneity of cardiac mitochondria in isolated adult mouse cardiomyocytes and adult wild-type left ventricular tissues (C57BL/6) were assessed using a comparative 3D imaging system based on focused ion beam-scanning electron microscopy (FIB-SEM) nanotomography. For comparison of 2D vs. 3D data sets, analytical strategies and mathematical comparative approaches were performed. To confirm the value of 3D data for mitochondrial changes, we compared the obtained values for number, coverage area, size heterogeneity, and complexity of wild-type cardiomyocyte mitochondria with data sets from mice lacking the cytosolic and mitochondrial protein BNIP3 (BCL-2/adenovirus E1B 19-kDa interacting protein 3; Bnip3

resultsThe FIB-SEM nanotomographic analysis revealed that no linear relationship exists for mitochondrial number (r = 0.02; P = 0.9511), dispersion (r = -0.03; P = 0.9188), and shape (roundness: r = 0.15, P = 0.6397; elongation: r = -0.09, P = 0.7804) between 3D and 2D results. Cumulative frequency distribution analysis showed a diverse abundance of mitochondria with different sizes in 3D and 2D. Qualitatively, 2D data could not reflect mitochondrial distribution and dynamics existing in 3D tissue. 3D analyses enabled the discovery that BNIP3 deletion resulted in more smaller, less complex cardiomyocyte mitochondria (number: P < 0.01; heterogeneity: C.V. wild-type 89% vs. Bnip3

conclusionsHere, we demonstrate the need of 3D analyses for the characterization of mitochondrial features in cardiac tissue samples. Hence, we observed that BNIP3 deletion physiologically acts as a molecular brake on mitochondrial number, suggesting a role in mitochondrial fusion/fission processes and thereby regulating the homeostasis of cardiac bioenergetics.

Indexed as

Electron Microscope TomographyMyocytes, CardiacAnimalsMaleMiceMice, Inbred C57BLMitochondriaMitochondrial Dynamics3D morphometryBNIP3Cardiac mitochondriaFocused ion beam-scanning electron microscopyMitochondrial dynamicsMitochondrial energetics

Identifiers

PMID34120411
PMCPMC8350221
OpenAlexW3167504557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.