Camels are a fundamental livestock resource with a significant role in the agricultural economy of dry regions of Asia and Africa. Similarly, llamas and alpacas are an indigenous resource considered as beasts of burden in South America because of their surefootedness and ability to adapt. Camel racing, a highly lucrative and well-organized sport, camel beauty contests, and high demand for camel milk lead to a steady interest in the multiplication of elite animals by in vitro embryo production (IVEP) in this species during the last few decades. Although offspring have been produced from in vitro produced embryos, the technique is still not that well developed compared with other domestic animal species such as cattle. IVEP involves many steps, including the collection of oocytes from either slaughterhouse ovaries or live animals through ultrasound-guided transvaginal aspiration; in vitro maturation of these collected oocytes; collection and preparation of semen for fertilization; culture and passaging of cells for nuclear transfer, chemical activation of the reconstructed embryos, and in vitro culture of embryos up to the blastocyst stage for transfer into synchronized recipients to carry them to term. This review discusses the present status of all these steps involved in the IVEP of camelids and their future perspectives.
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http://dx.doi.org/10.1016/j.repbio.2020.100471 | 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 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.
Front Vet Sci
December 2024
Veterinary Medical Center and College of Veterinary Medicine, Laboratory of Veterinary Embryology and Biotechnology (VETEMBIO), Chungbuk National University, Cheongju, Republic of Korea.
Objective: Myo-inositol (Myo-Ins), the most abundant form of inositol, is an antioxidant and plays a crucial role in the development and reproduction of mammals and humans. However, information elucidating the role of Myo-Ins in porcine embryonic development after parthenogenetic activation (PA) is still lacking. Therefore, we investigated the effect of Myo-Ins on porcine embryos and its underlying mechanisms.
View Article and Find Full Text PDFACS Cent Sci
December 2024
Leiden Institute of Chemistry, Universiteit Leiden, Einsteinweg 55, 2333 CC Leiden, Netherlands.
The blood-brain barrier (BBB) presents one of the main obstacles to delivering anticancer drugs in glioblastoma. Herein, we investigated the potential of a series of cyclic ruthenium-peptide conjugates as photoactivated therapy candidates for the treatment of this aggressive tumor. The three compounds studied, , , and ([Ru(Phphen) Ac-XRGDX-NH)]Cl with Phphen = 4,7-diphenyl-1,10-phenanthroline and X, X = His or Met), include an integrin-targeted pentapeptide coordinated to a ruthenium warhead via two photoactivated ruthenium-X bonds.
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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