Our aim was to evaluate the effects of three thermal environments over time on kinetics, functionality and in vitro fertility of cryopreserved bovine spermatozoa. Four ejaculates from five bulls (n = 20) were cryopreserved. After thawing, semen was evaluated (0 hr), incubated for 4 hr in T36.0 (36.0°C), T38.0 (38.0°C) and T39.5 (39.5°C), and analysed every hour (1 hr, 2 hr, 3 hr, 4 hr). In vitro production of embryos was performed at 0 hr and 4 hr. Sperm motility and cell kinetics (Computer-Assisted Sperm Analysis) were impaired after 2 hr at T38.0 and T39.5 (p < 0.05). Flow cytometry revealed an increase in the cells with injured plasma membrane to 39.5°C and a general reduction in the mitochondrial potential over time (p < 0.05). In vitro fertility was impaired in all temperatures after 4 hr, but there was no difference between 36.0°C and 38.0°C. Our results suggest that the ex situ resilience of semen at 36.0°C after thawing with no major damage to the quality is limited to 3 hr. In normothermia or in thermal stress, sperm cells present a gradual reduction of movement and functionality, which were more significant after 1 hr of incubation. The in vitro production of embryos is impaired when the semen is kept in a thermal environment ≥36.0°C for 4 hr.
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http://dx.doi.org/10.1111/and.13266 | DOI Listing |
J West Afr Coll Surg
August 2024
Department of Radiology, Lagos State University Teaching Hospital, Lagos, Nigeria.
Background: Over the years, the numbers of centres performing assisted reproductive technology (ART) have increased in urban regions of Africa. We reviewed a 10-year record of ART in a public hospital in a bid to determine the pregnancy rate and identify factors associated with achieving clinical pregnancy.
Materials And Methods: This was a retrospective, analytical, cross-sectional study of 604 women who had undergone fertilisation (IVF) or IVF/intra-cytoplasmic sperm injection, over a 10-year period, at the [Institute of Fertility Medicine, Lagos State University Teaching Hospital].
Front Public Health
December 2024
PERITOX-Périnatalité et Risques Toxiques-UMR_I 01 UPJV/INERIS, Centre Universitaire de Recherche en Santé, CURS-UPJV, University of Picardie Jules Verne, CEDEX 1, Amiens, France.
Over the last decades, human infertility has become a major concern in public health, with severe societal and health consequences. Growing evidence shows that endocrine disruptors chemicals (EDCs) have been considered as risk factors of infertility. Their presence in our everyday life has become ubiquitous because of their universal use in food and beverage containers, personal care products, cosmetics, phytosanitary products.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Taiwan United Birth-Promoting Experts Fertility Clinic, Tainan, Taiwan.
Objectives: This study aimed to investigate the correlation of ovarian sensitivity index (OSI) and clinical parameters in IVF treatments.
Methods: IVF data files between January 2011 and December 2020 in a single unit were included. The primary outcome measure was the correlation between the OSI and clinical pregnancy and live birth rates.
Cureus
November 2024
Department of Obstetrics and Gynecology, Fertility Institute, Assisted Reproduction Unit, Athens, GRC.
The study focuses on spontaneous conception after menopause in a woman with primary ovarian insufficiency (POI), with an emphasis on the role of anti-Müllerian hormone (AMH) in fertility management. This case involves a 33-year-old woman with POI who has experienced both aided and spontaneous pregnancies. She had low AMH and high follicle-stimulating hormone (FSH) levels, which typically indicate a limited ovarian reserve.
View Article and Find Full Text PDFJ Gynecol Obstet Hum Reprod
December 2024
Endoscopy Unit, Glenfield Hospital, University Hospitals of Leicester, NHS Trust, Leicester, United Kingdom.
In-vitro fertilization (IVF) has been a transformative advancement in assisted reproductive technology. However, success rates remain suboptimal, with only about one-third of cycles resulting in pregnancy and fewer leading to live births. This narrative review explores the potential of artificial intelligence (AI), machine learning (ML), and deep learning (DL) to enhance various stages of the IVF process.
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