Influence of the male effect on follicular dynamics and pregnancy rate in lactating cows undergoing fixed-time artificial insemination
LIVESTOCK SCIENCE
Authors: Silva Filho, Manoel Lopes; Ferreira-Silva, Jose Carlos; Travassos Vieira, Joane Isis; Lima Basto, Sarah Romini; Chaves, Maiana Silva; Luz, Janaina Barros; Alves, Kaliandra Souza; Bartolomeu, Claudio Coutinho; Lemos Oliveira, Marcos Antonio
Abstract
The objective of this study was to determine the biostimulatory effect of bull exposure on follicular dynamic traits and pregnancy rate of lactating Nelore cows subjected to a fixed-time artificial insemination protocol. A total of 150 postpartum cows were randomly assigned to either a non-biostimulated or (C) and biostimulated (BS) group. Ovarian follicular dynamics was monitored by using transrectal ultrasonography. Females in both groups showed follicular regression after beginning the hormonal protocol. Daily follicular growth and percentage of ovulating females did not differ (P > 0.05) between groups. The interval between the start of the follicular wave and the ovulation was smaller (P < 0.05) in the C group; however, the pregnancy rate was greater (P < 0.05) in the B group. Furthermore, the BS group required less services per pregnancy (P < 0.05). In summary, the results allow to conclude that the association between the male effect and the Fixed Timed Artificial Insemination (FTAI), does increase the pregnancy rates and reduce the number of services per female, although there is no effect on follicular dynamics.
Bioinformatics analysis of prognostic value of PITX1 gene in breast cancer
BIOSCIENCE REPORTS
Authors: Wang, Qiaoyun; Zhao, Shuai; Gan, Lei; Zhuang, Zhixiang
Abstract
Background: Paired-like homeodomain transcription factor 1 (PITX1) participates in miscellaneous biological processes including cell growth, development, progression and invasion in various malignant tumors. However, the analysis of the association between PITX1 expression and the survival in breast cancer remains unclear. Methods: Clinical prognostic parameters and survival data related to PITX1 in breast cancer patients were performed using the bioinformatic analysis including Oncomine, Bc-GenExMiner v4.3, PrognoScan and UCSC Xena. Results: We found that PITX1 gene expression was significantly higher in different histological classification of breast cancer. The Scarff-Bloom-Richardson (SBR) grade, Nottingham prognostic index (NPI), estrogen receptor (ER) negative, epidermal growth factor receptor-2 (HER2) positive, lymph node positive, triple-negative status and basal-like status were positively correlated with PITX1 level, except for patients' age and the progesterone receptor (PR) status. We have found that the increased PITX1 expression correlated with worse relapse-free survival, disease specific survival and overall survival. PITX1 was positively correlated with metastatic relapse-free survival and distant metastasis-free survival. We also confirmed positive correlation between PITX1 and the nucleotide-binding oligomerization domain 2 (NOD2). Conclusion: The lower expression of PITX1 was associated with better clinical prognostic parameters and clinical survival in breast cancer according to the bioinformatic analysis.