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 3âh during 14âdays. Different frequencies were tested (1âHz, 10âHz, 100âHz, and 1âkHz), with amplitudes of 125, 250, 500, 750, 1000, and 1500âmV/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 10âHz. Once the frequency was defined, RUNX2, OSX, ALP, OPG, and RANKL gene expression revealed an increase in the differentiation and osteogenic activity levels at 10âHz and 500-750âmV/mm. As well as, morphological studies showed an increase in the area, pseudopodia length, and numbers at 500âmV 10âHz conditions. The optimal ES condition to differentiate MC3T3-E1 cells is 10âHz 500-750âmV/mm. Electrostimulation has emerged as a promising technique in the field of bioengineering and biomedicine, particularly in bone regeneration and cell early maturation.
Optimizing Alternating Current Electrical Stimulation Parameters to Enhance Osteoblasts Differentiation.
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作者:Bocio-Núñez Jesús, Montoya-GarcÃa Mª José, Vázquez-Gámez Mª Ãngeles, MartÃn Daniel, Chacón Pedro, Rico Miguel Ãngel, Colmenero Miguel Ãngel, Yufera Alberto, Giner Mercè
| 期刊: | Biofactors | 影响因子: | 5.000 |
| 时间: | 2026 | 起止号: | 2026 Mar-Apr;52(2):e70097 |
| doi: | 10.1002/biof.70097 | ||
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