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Related Experiment Video

Updated: Jun 20, 2025

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts
05:58

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts

Published on: March 29, 2024

879

A user-friendly machine learning approach for cardiac structures assessment.

Atilla Orhan1, Hakan Akbayrak1, Ömer Faruk Çiçek1

  • 1Department of Cardiovascular Surgery, Faculty of Medicine, Selcuk University, Konya, Türkiye.

Frontiers in Cardiovascular Medicine
|July 22, 2024
PubMed
Summary

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Exercise benefits heart capillaries, but anabolic steroid misuse negates these gains. Machine learning analysis quantified these effects on cardiac structures in rats, highlighting risks for athletes.

Area of Science:

  • Cardiovascular Research
  • Sports Medicine
  • Computational Biology

Background:

  • Anabolic-androgenic steroid misuse is prevalent in athletes, with known detrimental effects on heart muscle and capillaries.
  • Previous studies often rely on qualitative data, limiting reliability and introducing bias.
  • Machine learning offers accessible quantitative analysis for complex biological data.

Purpose of the Study:

  • To quantitatively assess the impact of exercise and anabolic-androgenic steroids on cardiac ventricular capillaries and myocytes.
  • To demonstrate a user-friendly machine learning approach for analyzing histopathological data.
  • To investigate the interplay between exercise and anabolic-androgenic steroids on cardiac microvasculature.

Main Methods:

  • Male Wistar rats were divided into control, exercise-only, anabolic-androgenic steroid-alone, and combined groups.
Keywords:
anabolic-androgenic steroidartificial intelligencecardiac capillariesimage segmentationmachine learningmyocardial hypertrophymyocardial hypertrophy in athletes

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Related Experiment Videos

Last Updated: Jun 20, 2025

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts
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879
Ultrasonic Assessment of Myocardial Microstructure
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3D Whole-heart Myocardial Tissue Analysis

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  • Histopathological analysis of heart tissue was performed.
  • Machine learning algorithms (Trainable Weka Segmentation in Fiji) were used to segment and quantify capillary and myocyte structures.

    • Main Results:

    • Exercise significantly increased capillary density and decreased intercapillary distance.
    • Anabolic-androgenic steroid use counteracted the positive effects of exercise on capillary density and intercapillary distance.
    • Anabolic-androgenic steroid alone did not significantly alter capillary density compared to controls.

    Conclusions:

    • Accessible machine learning tools enable quantitative analysis of anabolic steroid effects on the heart, even for researchers without extensive programming skills.
    • Anabolic steroid misuse can negate the cardiovascular benefits of exercise.
    • This approach provides reliable, quantitative data on the adverse effects of anabolic-androgenic steroids on cardiac structures.