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1.
Exploration of macromolecular phenotype of human skeletal muscle in diabetes using infrared spectroscopy
Barbara Zupančič, Chiedozie Kenneth Ugwoke, Mohamed Elwy Abdelmonaem, Armin Alibegović, Erika Cvetko, Jože Grdadolnik, Anja Šerbec, Nejc Umek, 2023, original scientific article

Abstract: Introduction: The global burden of diabetes mellitus is escalating, and more efficient investigative strategies are needed for a deeper understanding of underlying pathophysiological mechanisms. The crucial role of skeletal muscle in carbohydrate and lipid metabolism makes it one of the most susceptible tissues to diabetes-related metabolic disorders. In tissue studies, conventional histochemical methods have several technical limitations and have been shown to inadequately characterise the biomolecular phenotype of skeletal muscle to provide a holistic view of the pathologically altered proportions of macromolecular constituents. Materials and methods: In this pilot study, we examined the composition of five different human skeletal muscles from male donors diagnosed with type 2 diabetes and non-diabetic controls. We analysed the lipid, glycogen, and collagen content in the muscles in a traditional manner with histochemical assays using different staining techniques. This served as a reference for comparison with the unconventional analysis of tissue composition using Fourier-transform infrared spectroscopy as an alternative methodological approach. Results: A thorough chemometric post-processing of the infrared spectra using a multi-stage spectral decomposition allowed the simultaneous identification of various compositional details from a vibrational spectrum measured in a single experiment. We obtained multifaceted information about the proportions of the different macromolecular constituents of skeletal muscle, which even allowed us to distinguish protein constituents with different structural properties. The most important methodological steps for a comprehensive insight into muscle composition have thus been set and parameters identified that can be used for the comparison between healthy and diabetic muscles. Conclusion: We have established a methodological framework based on vibrational spectroscopy for the detailed macromolecular analysis of human skeletal muscle that can effectively complement or may even serve as an alternative to histochemical assays. As this is a pilot study with relatively small sample sets, we remain cautious at this stage in drawing definitive conclusions about diabetes-related changes in skeletal muscle composition. However, the main focus and contribution of our work has been to provide an alternative, simple and efficient approach for this purpose. We are confident that we have achieved this goal and have brought our methodology to a level from which it can be successfully transferred to a large-scale study that allows the effects of diabetes on skeletal muscle composition and the interrelationships between the macromolecular tissue alterations due to diabetes to be investigated.
Keywords: diabetes mellitus, skeletal muscle, metabolism, macromulecular composition, infrared spectroscopy, multivariate analysis, histochemical assays
Published in DiRROS: 11.01.2024; Views: 333; Downloads: 110
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2.
Correlation of body composition with speed and agility of children aged 9-10
Mima Stanković, Dušan Đorđević, Milan Zelenovic, Danijel Bozic, 2020, original scientific article

Abstract: Purpose: Physical growth of children is measured by changes in body size and/or body composition, as well as by changes in motor skills. Motor skills can be affected by many factors, such as genetic predisposition, body composition, socio-economic conditions, and the like. Accordingly, the aim of the research is to determine the correlation between body composition with speed and agility of children aged 9 to 10 years. Methods: The sample included 40 participants (29 boys and 11 girls, 9.47 ± 0.5 years). Body height (BH), body weight (BW), body mass index (BMI) and body fat (BF), and basal metabolism (BMR) were determined to assess body composition. The BOT-2 subtest was used to assess speed and agility, which includes: Shuttle Run (1SAA), Stepping Sideways over a Balance Beam (2SAA), One-Legged Stationary Hop (3SAA), One-Legged Side Hop (4SAA), Two-Legged Side Hop (5SAA), and Total Speed and Agility (TSAA). Results: The results of correlation statistics indicated the existence of negative correlations between: height and 3SAA (r=-.353, p=.026); weight and 3SAA (r=-.422, p=. 007); weight and TSAA (r=-.359, p=.023); BMI and 3SAA (r=-.342, p=. 031); BMI and TSAA (r=-.333, p=.036); BMR and 3SAA (r=-.369, p=. 019); BMR and TSAA (r=-.363, p=.021). Conclusion: Based on the results obtained in this study, it can be concluded that there is a correlation between body composition and speed and agility. In addition to body composition, a correlation was found between body height and performance of one-legged stationary hop, as well as between basal metabolism, the one-legged stationary hop test and the overall results achieved in motor skill tests.
Keywords: children, body fat, basal metabolism, motor abilities, OMRON
Published in DiRROS: 02.03.2023; Views: 452; Downloads: 128
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