Quantification of multi-oocyte follicles in ovaries of bitches / [Quantificação de folículos multiócitos em ovários de cadelas]

The objective of this study was to quantify the number and frequency of monocyte (MnOF) and multi-oocyte (MtOF) follicles in ovaries of bitches subjected to ovary salpingohysterectomy (OSH). Right and left ovaries of 38 bitches were collected after OSH, prepared, and a histological analysis was carried out. The ovaries were subjected to surface and deep histological cuts; the follicles were classified, and the number of follicles and cumulus oophorus complexes (COC) per follicle were quantified for each histological cut. MnOF and MtOF were found in all ovaries, at different developmental stages; primary follicles were grouped in the ovarian cortex, and follicles at other follicular stages presented a random distribution. MtOF containing two, three, four, or more COC were found in the ovaries of bitches, with a decreasing frequency trend, according to the number of COC in the MtOF. The effect of the age, number of estrus, estrus interval, and number of progenies per delivery was not significant for the number and frequency of MtOF in the ovaries of the bitches, whereas the size, number of pregnancies, use and number of contraceptive applications had some effect on the number and frequency of MtOF in the ovaries of the bitches.(AU)

Objetivou-se, com este estudo, quantificar o número e a frequência de folículos monocitários (MOF) e polioocitários (POF) provenientes de ovários de cadelas submetidas à ovariossalpingo-histerectomia (OSH). Para tanto, coletaram-se os ovários (direito e esquerdo) de 38 cadelas após OSH, com posterior preparação e análise histológica. Cada ovário foi submetido a dois cortes histológicos (superficial e profundo) onde se quantificou o número e a classificação dos folículos, bem como o número de complexos cumulus oophorus (COCs) por folículo em cada corte histológico. Observaram-se MOF e POF em todos os ovários estudados, em diferentes estádios de desenvolvimento, sendo os folículos primários agrupados no córtex ovariano, frente a uma distribuição aleatória dos outros estádios foliculares. FOPs contendo dois, três, quatro ou mais COCs foram observados nos ovários de todas as fêmeas estudadas, e sua frequência tendeu a diminuir de acordo com o número de COC presente no POF. Não se observou influência da idade, do número e do intervalo de estros, assim como do número de filhotes por gestação sobre o número/frequência de FOP nos ovários das cadelas estudadas, enquanto o porte, o número de gestações, o uso e o número de contraceptivo apresentaram algum grau de influência sobre o número/frequência de FOP nos ovários das cadelas estudadas.(AU)

Competence Classification of Cumulus and Granulosa Cell Transcriptome in Embryos Matched by Morphology and Female Age.

OBJECTIVE: By focussing on differences in the mural granulosa cell (MGC) and cumulus cell (CC) transcriptomes from follicles resulting in competent (live birth) and non-competent (no pregnancy) oocytes the study aims on defining a competence classifier expression profile in the two cellular compartments. DESIGN: A case-control study. SETTING: University based facilities for clinical services and research. PATIENTS: MGC and CC samples from 60 women undergoing IVF treatment following the long GnRH-agonist protocol were collected. Samples from 16 oocytes where live birth was achieved and 16 age- and embryo morphology matched incompetent oocytes were included in the study. METHODS: MGC and CC were isolated immediately after oocyte retrieval. From the 16 competent and non-competent follicles, mRNA was extracted and expression profile generated on the Human Gene 1.0 ST Affymetrix array. Live birth prediction analysis using machine learning algorithms (support vector machines) with performance estimation by leave-one-out cross validation and independent validation on an external data set. RESULTS: We defined a signature of 30 genes expressed in CC predictive of live birth. This live birth prediction model had an accuracy of 81%, a sensitivity of 0.83, a specificity of 0.80, a positive predictive value of 0.77, and a negative predictive value of 0.86. Receiver operating characteristic analysis found an area under the curve of 0.86, significantly greater than random chance. When applied on 3 external data sets with the end-point outcome measure of blastocyst formation, the signature resulted in 62%, 75% and 88% accuracy, respectively. The genes in the classifier are primarily connected to apoptosis and involvement in formation of extracellular matrix. We were not able to define a robust MGC classifier signature that could classify live birth with accuracy above random chance level. CONCLUSION: We have developed a cumulus cell classifier, which showed a promising performance on external data. This suggests that the gene signature at least partly include genes that relates to competence in the developing blastocyst.