Multiple regression analysis predicts the dynamic of chondrocytes stimulated by magnetic and electric fields

• Autorzy: Vaca-Gonzalez Juan Jairo , Escobar Juan Felipe , Garzon-Alvarado Diego Alexander

Identyfikatory

DOI

10.37190/ABB-01836-2021-03

• Języki publikacji: EN

Abstrakty

EN

Purpose: The aim of this study was to implement a multiple regression analysis to find mathematical models that estimate the proliferative rate and the molecular synthesis of chondrocytes when these cells are stimulated either by magnetic or electric fields. Methods: Data derived from previous studies performed in our laboratory were used for statistical analyses, which consisted of applying magnetic fields (1 and 2 mT) and electric fields (4 and 8 mV/cm) to chondrocytes. Data from cell proliferation and glycosaminoglycan expression were used to adjust and to validate each mathematical model. Results: The root square model efficiently predicted the chondrocyte dynamics, evidencing determination coefficients of R2 = 92.04 for proliferation and R2 = 70.95 for glycosaminoglycans when magnetic fields were applied, and R2 = 88.19 for proliferation and R2 = 74.79 for glycosaminoglycans when electric fields were applied. Conclusions: The reduced, interactive, quadratic and combined models exhibited lower R2 values, nevertheless, they were useful to predict proliferation and glycosaminoglycan synthesis, as the right-skewed distribution, determined by the F parameter, evidenced a Frejected < Fcomputed. The models are efficient since the prediction of chondrocyte dynamics is comparable to the cell growth and to the molecular synthesis observed experimentally. This novel formulation may be dynamic because the variables that fit the models may be modified to improve in vitro procedures focused on cartilage recovery.

Słowa kluczowe

EN

multiple regression analysis; electric field; magnetic field; chondrocytes

PL

analiza regresji wielokrotnej; pole elektryczne; pole magnetyczne; chondrocyty

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Acta of Bioengineering and Biomechanics
• Rocznik: 2021
• Tom: Vol. 23, no. 3
• Strony: 109--124
• Opis fizyczny: Bibliogr. 54 poz., rys., tab.

Twórcy

autor

Vaca-Gonzalez Juan Jairo

• School of Health and Sports Sciences, Master Program in Epidemiology, Fundación Universitaria del Área Andina, Bogotá, Colombia
• Biomimetics Laboratory, Instituto de Biotecnología, Universidad Nacional de Colombia, Bogotá, Colombia

autor

Escobar Juan Felipe

• Biomimetics Laboratory, Instituto de Biotecnología, Universidad Nacional de Colombia, Bogotá, Colombia
• Research group in Design, Analysis and Development of Engineering Systems – GIDAD, Fundación Universitaria Los Libertadores, Bogotá, Colombia

autor

Garzon-Alvarado Diego Alexander

• Biomimetics Laboratory, Instituto de Biotecnología, Universidad Nacional de Colombia, Bogotá, Colombia
• Numerical Methods and Modeling Research Group (GNUM), Universidad Nacional de Colombia, Bogotá, Colombia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).