Biological effects of ultrasound stimulus on cells derived from human ovarian follicular liquid

Claudia Omes, Lorenzo Fassina, Giovanni Magenes, Daniela Ogliari, Carmine Tinelli, Federica Riva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Low-Intensity Pulsed Ultrasound Stimulus (LIPUS) accelerates the bone fracture healing in animal models and in clinical studies. In this work, according to the literature, we have chosen the mesenchymal stem cells (MSCs) as precursors of bony tissue, in particular the MSCs derived from the human ovarian follicular liquid (FL), and we have investigated the effects of ultrasounds on their proliferation. We tested two different durations of ultrasound stimulus (2 and 5 min) and compared these data to the control without ultrasound treatment. To quantify the proliferation of these putative MSCs, we used the BrdU incorporation assay: in comparison with the control, the results showed that 5 min of ultrasound stimulus significantly increased the percentage number of cells in intensive proliferative activity; on the other hand, there was no significant difference using 2 min of stimulation, hypothetically because the transmitted energy was not sufficient to stimulate the cells and to consequently enhance their proliferation. In conclusion, the effects of LIPUS on putative MSCs derived from ovarian follicular liquid show potential developments in biotech or medical applications.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages850-853
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
Duration: Jul 3 2013Jul 7 2013

Other

Other2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
CountryJapan
CityOsaka
Period7/3/137/7/13

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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