Optimizing Alternating Current Electrical Stimulation Parameters to Enhance Osteoblasts Differentiation

IF 5 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
BioFactors Pub Date : 2026-04-12 DOI:10.1002/biof.70097
Jesús Bocio-Núñez, Mª. José Montoya-García, Mª. Ángeles Vázquez-Gámez, Daniel Martín, Pedro Chacón, Miguel Ángel Rico, Miguel Ángel Colmenero, Alberto Yufera, Mercè Giner
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Abstract

Electrical stimulation (ES) has emerged as a promising technique in the field of bioengineering and biomedicine, particularly in bone regeneration and cell differentiation. ES using alternating current (AC) is based on the periodic reversal of current direction, which generates oscillating electric fields. The application of an electric field has effects on cell growth and differentiation, as well as on morphology and migration. This study aimed to explore the effect of applying AC electrostimulation within the proliferation, differentiation, and morphology process of osteoblastic cells. The electrical stimulation signals were daily applied for 3 h during 14 days. Different frequencies were tested (1 Hz, 10 Hz, 100 Hz, and 1 kHz), with amplitudes of 125, 250, 500, 750, 1000, and 1500 mV/mm. Cell viability was estimated using the AlamarBlue, and MC3T3-E1 differentiation levels were evaluated through alkaline phosphatase (ALP) activity. RUNX2, OSX, ALP, OPG, and RANKL gene expression was assessed by RT-PCR. Morphological analysis was performed through cell transfection followed by immunofluorescence. Statistical analysis was conducted by SPSS.23 and graphs generated through Graph-pad. Viability and ALP activity were optimal at 10 Hz. Once the frequency was defined, RUNX2, OSX, ALP, OPG, and RANKL gene expression revealed an increase in the differentiation and osteogenic activity levels at 10 Hz and 500–750 mV/mm. As well as, morphological studies showed an increase in the area, pseudopodia length, and numbers at 500 mV 10 Hz conditions. The optimal ES condition to differentiate MC3T3-E1 cells is 10 Hz 500–750 mV/mm. Electrostimulation has emerged as a promising technique in the field of bioengineering and biomedicine, particularly in bone regeneration and cell early maturation.

Abstract Image

优化交流电刺激参数促进成骨细胞分化。
电刺激技术在生物工程和生物医学领域,特别是在骨再生和细胞分化方面,已成为一种很有前途的技术。使用交流电的ES是基于电流方向的周期性反转,从而产生振荡电场。电场的作用不仅影响细胞的形态和迁移,而且影响细胞的生长和分化。本研究旨在探讨交流电刺激对成骨细胞增殖、分化和形态过程的影响。在14天内,每天施加3小时的电刺激信号。测试了不同的频率(1hz, 10hz, 100hz和1khz),振幅为125,250,500,750,1000和1500mv /mm。使用AlamarBlue评估细胞活力,并通过碱性磷酸酶(ALP)活性评估MC3T3-E1分化水平。RT-PCR检测RUNX2、OSX、ALP、OPG、RANKL基因表达。细胞转染后免疫荧光进行形态学分析。采用SPSS.23软件进行统计分析,并通过graphpad生成图表。10 Hz时细胞活力和ALP活性最佳。一旦确定频率,RUNX2, OSX, ALP, OPG和RANKL基因表达在10 Hz和500-750 mV/mm时显示分化和成骨活性水平增加。此外,形态学研究表明,在500 mV 10 Hz条件下,假足的面积、长度和数量均有所增加。分化MC3T3-E1细胞的最佳ES条件为10 Hz 500 ~ 750 mV/mm。电刺激技术在生物工程和生物医学领域,特别是在骨再生和细胞早期成熟方面,已成为一种很有前途的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BioFactors
BioFactors 生物-内分泌学与代谢
CiteScore
11.50
自引率
3.30%
发文量
96
审稿时长
6-12 weeks
期刊介绍: BioFactors, a journal of the International Union of Biochemistry and Molecular Biology, is devoted to the rapid publication of highly significant original research articles and reviews in experimental biology in health and disease. The word “biofactors” refers to the many compounds that regulate biological functions. Biological factors comprise many molecules produced or modified by living organisms, and present in many essential systems like the blood, the nervous or immunological systems. A non-exhaustive list of biological factors includes neurotransmitters, cytokines, chemokines, hormones, coagulation factors, transcription factors, signaling molecules, receptor ligands and many more. In the group of biofactors we can accommodate several classical molecules not synthetized in the body such as vitamins, micronutrients or essential trace elements. In keeping with this unified view of biochemistry, BioFactors publishes research dealing with the identification of new substances and the elucidation of their functions at the biophysical, biochemical, cellular and human level as well as studies revealing novel functions of already known biofactors. The journal encourages the submission of studies that use biochemistry, biophysics, cell and molecular biology and/or cell signaling approaches.
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