The gonadotrophin-releasing hormone antagonist Cetrorelix is in advanced clinical development for the control of endogenous gonadotrophin secretion during the course of a fertility programme. The aim of the present study was to investigate the pharmacokinetics and pharmacodynamics of Cetrorelix following single and multiple s.c. administration of different doses. Thirty-six healthy female volunteers received either 0.25, 0.50 or 1.00 mg Cetrorelix, in a first menstrual cycle as single dose and in a second cycle as multiple dose (daily between cycle days 3 and 16). Frequent blood samples were collected for determination of Cetrorelix, follicle stimulating hormone (FSH), luteinizing hormone (LH), oestradiol and progesterone concentrations. Follicular growth was measured by transvaginal ultrasonography. After single administration of each dose, maximum Cetrorelix concentrations (Cmax) were reached after 1 h, and Cmax and area under curve (AUC) increased linearly with the dose. The median terminal half-life ranged from 5 to 10 h in the three different dose groups. FSH, LH, oestradiol and progesterone concentrations were suppressed, with a nadir at 6-12 h after Cetrorelix administration. During multiple administration, Cmax and AUC also showed dose-linearity. The median terminal half-life of Cetrorelix varied between 20 and 80 h. A dose-dependent suppression of FSH, LH and oestradiol concentrations was observed during treatment. After multiple administration, ovulation was delayed for 5, 10 and 13 days in the 0.25, 0.50 and 1.00 mg dose groups, respectively. In conclusion, Cetrorelix showed linear pharmacokinetics, and effectively delayed the LH surge.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/humrep/13.9.2392 | DOI Listing |
J Infect Dev Ctries
December 2024
Faculdade de Farmácia, Universidade Federal de Minas Gerais, Brazil.
Introduction: Antimicrobial resistance (AMR) is a major public health challenge globally. This study aimed to analyze the antibacterial consumption (ATBc), and the incidence of multidrug-resistant organisms (MDRO), focusing on pathogens Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp. (ESKAPE group), in a Brazilian tertiary care hospital.
View Article and Find Full Text PDFJ Med Case Rep
January 2025
Department of Dermatology and Venereology, Faculty of Medicine, University of Aleppo, Aleppo, Syria.
Background: Basal cell nevus syndrome, also known as Gorlin or Gorlin-Goltz syndrome, is a hereditary condition caused by mutation in the PATCHED gene. The syndrome presents with a wide range of clinical manifestations, including basal cell carcinomas, jaw cysts, and skeletal anomalies. Diagnosis is based on specific criteria, and treatment typically includes surgical removal of basal cell carcinomas.
View Article and Find Full Text PDFVirol J
January 2025
Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, 130122, People's Republic of China.
Monkeypox virus (MPXV) is an important zoonotic pathogenic virus, which poses serious threats to public health. MPXV infection can be prevented by immunization against the variola virus. Because of the safety risks and side effects of vaccination with live vaccinia virus (VACV) strain Tian Tan (VTT), we constructed two gene-deleted VTT recombinants (TTVAC7 and TTVC5).
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Public Health, Southeast University, Nanjing. 87 Dingjiaqiao Road, Nanjing, China.
Background: Triglyceride-glucose (TyG) index was regarded as a cost-efficient and reliable clinical surrogate marker for insulin resistance (IR), which was significantly correlated with cardiovascular disease (CVD). However, the TyG index and incident CVD in non-diabetic hypertension patients remains uncertain. The aim of study was to explore the impact of TyG index level and variability on risk of CVD among non-diabetic hypertension patients.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Psychology, Faculty of Behavioural and Social Sciences, University of Groningen, Grote Kruisstraat 2/1, 9712TS, Groningen, The Netherlands.
Recruits are exposed to high levels of psychological and physical stress during the special forces selection period, resulting in dropout rates of up to 80%. To identify who likely drops out, we assessed a group of 249 recruits, every week of the selection program, on their self-efficacy, motivation, experienced psychological and physical stress, and recovery. Using linear regression as well as state-of-the-art machine learning techniques, we aimed to build a model that could meaningfully predict dropout while remaining interpretable.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!