RESUMO
Resumen El objetivo de este estudio fue determinar la expresión de proteínas del fluido folicular (FF) y su relación con la calidad del oocito. Se evaluaron 52 ovarios de planta de faenado de vacas Cebú comercial, mediante la técnica de disección y aspiración folicular se obtuvo FF y oocitos. Las evaluaciones realizadas fueron: calidad del oocito por aspecto citoplasmático y células del cúmulos y perfil de proteínas del FF mediante SDS-PAGE. Se realizó el análisis descriptivo, a través del procedimiento MEANS, análisis de varianza (PROC. ANOVA) y para las diferencias estadísticas significativas se usó la prueba de comparación de Bonferroni con un nivel de significancia del 5%, mediante el paquete estadístico SAS®. El 52% de los oocitos se categorizaron con calidad I-II. El análisis unidimensional de las proteínas del FF evidenció la presencia de 25 bandas de proteína entre 9 y 240 kDa. En folículos <3 mm se expresaron 23 bandas, en folículos de 3 y 6 mm 19 bandas y en folículos >6mm 20 bandas. Las bandas de peso molecular (PM) de 26kDa, 57kDa y 68kDa representan la mayor concentración en el FF; 4 bandas de PM 14 KDa, 34 KDa, 76 y 79 KDa, solo en folículos de <3mm, 2 bandas de PM 9 y 91 KDa solo en folículos de >3 mm. La banda de 32 KDa no se observó en folículos > de 6mm. Las bandas de mayor frecuencia de presentación fueron las de 26, 40, 42, 57, 68, 240 KDa. Las bandas de proteína que se asociaron con la calidad del oocito en forma significativa (p<0,05) fueron las de PM 24, 57, 68 y 164 KDa para FF de folículos <3mm y las bandas de PM 13, 26 y 38 kDa entre 3 y 6mm, y la de 26 kDa a folículos > de 6mm. Los resultados nos indican asociaciones de la calidad del oocito con algunas bandas de proteína.
Abstract This study was aimed at determining follicular fluid (FF) protein expression and its relationship with oocyte quality. FF and oocytes were obtained by dissection and follicular aspiration of the ovaries from fifty-two commercial Zebu from a slaughterhouse. Oocyte quality was measured by cytoplasmic aspect and cumulus cells and FF protein profile by SDS-PAGE. The SAS statistical package's PROC MEANS and analysis of variance (ANOVA) were used for descriptive analysis and the Bonferroni comparison test for assessing significant statistical differences (5% significance level); 52% of the oocytes were categorised as having I-II quality. One-dimensional SDS-PAGE analysis of FF proteins revealed 25 protein bands having 9 kDa to 240 kDa molecular weight (MW); 23 bands were expressed in <3 mm follicles, 19 bands in 3 and 6 mm follicles and 20 bands in >6 mm follicles. The 26kDa, 57kDa and 68kDa bands' MW represented the highest FF concentration whereas only four bands (14 kDa, 34 kDa, 76 and 79 kDa MW) were found in <3mm follicles and only 2 bands (9kDa and 91 kDa MW) in >3 mm follicles. The 32 kDa band was not observed in >6mm follicles. The 26, 40, 42, 57, 68 and 240 KDa bands occurred with the greatest frequency. The protein bands which were significantly associated with oocyte quality (p<0.05) were 24, 57, 68 and 164 kDa MW for <3mm follicles, 13, 26 and 38 kDa MW bands for 3 and 6mm follicles and 26 kDa for >6mm follicles. The results indicated oocyte quality association with some protein bands.
Resumo Este estudo teve como objetivo determinar a expressão de proteínas do fluido folicular (FF) e sua relação com a qualidade do oócito. Avaliou-se 52 ovários de vacas Cebú comercial colhidos em abatedouro e através da técnica de dissecação e aspiração folicular obtivera-se o FF e os oócitos. As avaliações realizadas foram: qualidade do oócito pelo aspecto citoplasmático e células do cúmulos e o perfil de proteínas do FF mediante SDS-PAGE. Realizou-se a análise descritiva, através do procedimento MEANS, análise de variância (PROC. ANOVA) e para identificar as diferenças estatísticas significativas, utilizou-se a prova de comparação de Bonferroni com um nível de significância de 5%, através do pacote estadístico SAS®. O 52% dos oócitos foram classificados como qualidade I e II. As análises unidimensionais das proteínas do FF evidenciaram a presença de 25 bandas de proteína entre 9 y 240 kDa. Em folículos <3 mm expressaram-se 23 bandas, em folículos entre 3 e 6 mm 19 bandas e em folículos >6mm 20 bandas. As bandas de peso molecular (PM) de 26kDa, 57kDa e 68kDa são as mais frequentes no FF; 4 bandas de PM 14 KDa, 34 KDa, 76 y 79 KDa, solo em folículos de <3mm, 2 bandas de PM 9 y 91 KDa solo em folículos de >3 mm. A banda de 32 KDa não foi observada em folículos> de 6mm. As bandas mais frequentes foram 26, 40, 42, 57, 68, 240 KDa. As bandas de proteína que se associaram à qualidade do oócito em forma significativa (p <0,05) foram as de PM 24, 57, 68 e 164 KDa para FF de folículos <3mm e as bandas de PM 13, 26 e 38 kDa entre 3 e 6mm, e a de 26 kDa a folículos >6mm. Os resultados indicam associações entre qualidade do oócito e algumas bandas de proteína.
RESUMO
BACKGROUND: Alzheimer's disease (AD) is characterized by a gradual loss of memory, orientation, judgement and language. There is still no cure for this disorder. AD pathogenesis remains fairly unknown and its underlying molecular mechanisms are not yet fully understood. Several studies have shown that the abnormal accumulation of beta-amyloid and tau proteins occurs 10 to 20 years before the onset of symptoms of the disease, so it is extremely important to identify changes in the brain before the first symptoms. METHODS: We used decision trees to classify 31 individuals (9 healthy controls and 22 AD patients in three different stages of disease) according to the expression of 69 genes previously reported in a meta-analysis, plus the expression levels of APP, APOE, BACE1, NCSTN, PSEN1, PSEN2 and MAPT. We also included in our analysis the MMSE (Mini-Mental State Examination) scores and number of NFT (neurofibrillary tangles). RESULTS: Results allowed us to generate a model of classification values for different AD stages of severity, according to MMSE scores, and achieve the identification of the expression level of protein tau that may possibly determine the onset (incipient stage) of AD. DISCUSSION: We used decision trees to model the different stages of AD (severe, moderate, incipient and control) based on the meta-analysis of gene expression levels plus MMSE and NFT scores. Both classifiers reported the variable MMSE as most informative, however it we were found that the protein tau also an important role in the onset of AD.