Ovarian antral follicle count (AFC) is a marker of ovarian stimulatory response to superovulation protocols in cattle. This article reviews novel research from the past 10 years, focusing on the relationship between AFC and embryo production and cow fertility. Substantial evidence indicates a positive relationship between AFC with embryo production; however, conflicting findings exist regarding the relationship of AFC with conception and pregnancy rates. This lack of consistent association with pregnancy outcomes is perplexing given the differences detected in oocytes, embryos, and endometria from high- versus low-AFC animals. Those differences include markers of embryonic viability such as protein level, blastocyst development rates, cleavage rates, and blastocyst cell numbers that differ between high- and low-AFC groups, as well as differential gene expression at the cow and embryo level with genes associated with fertility. In addition, and cattle appear to have different fertility responses based on their AFC category. In summary, clearly more studies are needed to elucidate the true associations between AFC and cow fertility, but the data that have been accumulated thus far indicate that AFC has the potential to be a useful marker of lifetime cow fertility.
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http://dx.doi.org/10.3168/jdsc.2022-0283 | DOI Listing |
Biomedicines
December 2024
1st Department of Obstetrics and Gynecology, 'Alexandra' General Hospital, National and Kapodistrian University of Athens, 80 Vasilissis Sofias Avenue, 11528 Athens, Greece.
Background/objectives: Severe obesity (BMI > 40 kg/m) has a severe influence on vascular health and reproduction. This study looks at how bariatric surgery affects endothelial nitric oxide synthase (eNOS) expression and reproductive hormone regulation across different follicle-stimulating hormone receptor (FSHR) polymorphism groups in women with extreme obesity.
Methods: Twenty-nine women with extreme obesity had bariatric surgery.
ISA Trans
January 2025
College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, Hunan, China. Electronic address:
Approximation-free control effectively addresses uncertainty and disturbances without relying on approximation techniques such as fuzzy logic systems (FLS) and neural networks (NNs). However, singularity problems-where signals exceed preset boundaries under dynamic operating conditions-remain a challenge. This paper proposes an improved approximation-free control (I-AFC) method for the multi-agent system, which introduces a novel singularity compensator, providing a low-complexity design with exceptional adaptability while reducing the risk of singularity issues under changing working conditions (random initial values, system parameter variations, and changes in topology graph and followers' dynamics).
View Article and Find Full Text PDFEur J Obstet Gynecol Reprod Biol
January 2025
Center for Advanced Reproductive Medicine, Department of Obstetrics & Gynecology, University of Kansas Medical Center, Overland Park, KS 66211, USA. Electronic address:
Background: The majority of machine learning applications in assisted reproduction have been focused on predicting the likelihood of pregnancy. In the present study, we aim to investigate which machine learning models are most effective in predicting the occurrence of a high proportion (>30 %) of 3PN/MPN zygotes in individual IVF cycles.
Methods: Eight machine learning algorithms were trained and compared, including the AdaBoost and Gaussian NB.
Human epidermal growth factor receptor 2 (HER2, also known as ERBB2) signaling promotes cell growth and differentiation, and is overexpressed in several tumor types, including breast, gastric and colorectal cancer. HER2-targeted therapies have shown clinical activity against these tumor types, resulting in regulatory approvals. However, the efficacy of HER2 therapies in tumors with HER2 mutations has not been widely investigated.
View Article and Find Full Text PDFArthrosc Sports Med Rehabil
December 2024
Department of Orthopaedic Surgery, The Keck School of Medicine, University of Southern California, Los Angeles, California, U.S.A.
Purpose: To investigate the characteristics and rate of sociodemographic variables reported in randomized controlled trials (RCTs) studying platelet-rich plasma (PRP) injections in the treatment of knee osteoarthritis (OA).
Methods: In January 2024, PubMed, Scopus, and Web of Science databases were queried for the phrase "Platelet-Rich Plasma Knee Osteoarthritis." Included studies were RCTs investigating PRP use in knee OA published in English between 2012 and 2023.
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