Abstract
To investigate how a back propagation neural network based on genetic algorithm (GA-BPNN) optimizes the low-intensity pulsed ultrasound (LIPUS) stimulation parameters to improve the bone marrow mesenchymal stem cells (BMSCs) viability further. The LIPUS parameters were set at various frequencies (0.6, 0.8, 1.0, and 1.2 MHz), voltages (5, 6, 7, and 8 V), and stimulation durations (3, 6, and 9 minutes). As only some discrete points can be set up in the experiments, the optimal LIPUS stimulation parameter may not be in the value of these settings. The GA-BPNN algorithm is used to optimize parameters of LIPUS to increase the BMSCs viability further. The BMSCs viability of the LIPUS-treated group was improved up to 19.57% (P < 0.01). With the optimization via the GA-BPNN algorithm, the viability of BMSCs was further improved by about 5.36% (P < 0.01) under the optimized condition of 6.92 V, 1.02 MHz, and 7.3 min. LIPUS is able to improve the BMSCs viability, which can be improved further by LIPUS with parameter optimization via GA-BPNN algorithm.
Highlights
Since the concept of tissue engineering and regenerative medicine has been proposed, as a particular type of MSCs, bone marrow mesenchymal stem cells (BMSCs) have broad application prospects in the field of cell transplantation
BMSCs were isolated from fifty female Wistar rats aged 4 weeks and weighing 180 ± 20 g. e Experimental Animal Ethics Committee of Tianjin Medical University approved all of the animal experimental protocols. e femurs and tibias of the rats were bluntly dissected with all connective tissue cleaned. en the bone marrow was exposed by cutting off both ends of the femur
After being sterilized by 75% medical alcohol, the transducer was inserted into the culture medium. e Low-intensity pulsed ultrasound (LIPUS) parameters were set at various frequencies (0.6, 0.8, 1.0, and 1.2 MHz), voltages (5, 6, 7, and 8 V), and stimulation durations (3, 6, and 9 minutes)
Summary
Since the concept of tissue engineering and regenerative medicine has been proposed, as a particular type of MSCs, bone marrow mesenchymal stem cells (BMSCs) have broad application prospects in the field of cell transplantation. Studies have shown that BMSCs has strong proliferation and low immunological properties [1, 2] and gradually become the best source of seed cells in tissue engineering. E relationship between LIPUS parameters and BMSCs viability is complex and nonlinear, and it is important to develop techniques to take these factors into account. GA-BPNN is capable of nonlinear multivariate data analysis and forecasting because of its ability to account for nonlinearity. It has been used in optimizing parameters in Computational and Mathematical Methods in Medicine many fields such as manufacturing industry, electric power industry, and so forth [10,11,12,13]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Computational and mathematical methods in medicine
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
