Biotecnologia

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http://repositorio.ufes.br/handle/10/17565
Programa de Pós-Graduação em Biotecnologia

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URL do programa: http://www.biotecnologia.ufes.br/pt-br/pos-graduacao/PPGBIOTEC

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Navegando Biotecnologia por Autor "Alencar, Airlane Pereira"

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    Sensoriamento óptico aplicado à descelularização renal
    (Universidade Federal do Espírito Santo, 2020-12-14) Evangelista, Raquel Ahnert Aguiar; Nogueira, Breno Valentim; https://orcid.org/0000000221990635; http://lattes.cnpq.br/0011229320439147; https://orcid.org/0000000226623463; http://lattes.cnpq.br/; Filho, Teodiano Freire Bastos; https://orcid.org/0000000211852773; http://lattes.cnpq.br/3761585497791105; Alencar, Airlane Pereira; https://orcid.org/0000-0002-0779-0426; http://lattes.cnpq.br/9189359969730039
    The kidney is the most requested organ for transplants in Brazil. Currently, 68% of patients on the transplant waiting list are waiting for this organ. Decellularization technique has emerged as a promising alternative for increasing supply and decreasing transplant rejection rates. The concentration of residual DNA is the main parameter to certify the quality of the scaffold. However, it is an invasive and destructive technique. To follow the process during decellularization without damaging, Pereira et al (2019) developed an optical monitoring system composed of three modules (light source, photodetector and prototyping plate) coupled to a computer with own programming. This system records the organs optical profile in the form of voltage graphs (v.s-1). Our objective was to analyze the graphic records produced by the sensor after renal decellularization, and relate them to the final organ quality. We used kidneys of adult wistar rats with average mass of 301.8 ± 44.6 g. Decellularizations occurred within the optical sensor and native and decellularized organs were separated for DNA analysis, hydroxyproline dosage and histology. The curves produced by the sensor were smoothed to reduce noise and adjusted according to a four-parameter logistic regression model (A1, A2, S and X0), described by Gadagkar and Call (2000). DNA analysis confirmed 95% of cell removal and the hydroxyproline dosage confirmed the maintenance of tissue collagen. The optical profiles produced an S curve pattern, and the parameter X0 was the one that obtained the best correlation with the residual DNA (52%)