Paper
6 November 2019 Information model for forecasting of violation reparative osteogenesis of long bonds
Yurii O. Bezsmertnyi, Sergii V. Pavlov, Stanislav Yu. Iaremyn, Halyna V. Bezsmertna, Natalia L. Chernyaschuk, Ivan A. Krivoruchko, Andrzej Kociubiński, Yedilkhan Amirgaliyev
Author Affiliations +
Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111762A (2019) https://doi.org/10.1117/12.2536250
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland
Abstract
The influence of metabolic, molecular genetic- and immune-inflammatory factors on the course of reparative osteogenesis and the formation of bone nonunion of long bones is investigated on the basis of computer statistical analysis and forecasting methods. It has been established that hyperhomocysteinemia, dyslipidemia and cytokine imbalance are negative regressors of the structural and functional state of bone tissue, leading to increased levels of bone resorption markers and the development of systemic and local osteoporosis. The genetic determinants of the course of reparative osteogenesis in a hypoplastic and atrophic type are the homozygous carrier of mutations MTHFR C677T or eNOS T786S, as well as a combination of both polymorphisms.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yurii O. Bezsmertnyi, Sergii V. Pavlov, Stanislav Yu. Iaremyn, Halyna V. Bezsmertna, Natalia L. Chernyaschuk, Ivan A. Krivoruchko, Andrzej Kociubiński, and Yedilkhan Amirgaliyev "Information model for forecasting of violation reparative osteogenesis of long bonds", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111762A (6 November 2019); https://doi.org/10.1117/12.2536250
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KEYWORDS
Bone

Statistical analysis

Tissues

Mathematical modeling

Error analysis

Genetics

Statistical modeling

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