Background/aim: In children with central precocious puberty (CPP), gonadotropin-releasing hormone (GnRH) analogue treatment has been associated with an increase in body mass index (BMI). We evaluated BMI and body composition in adolescents treated with GnRH analogue at their near final height to assess the long-term effects of therapy on these parameters.
Patients And Methods: We studied 20 patients (14.8 +/- 1.6 years; 17 females) previously treated with triptorelin depot for CPP (3.75 mg/28 days) from 8.1 +/- 0.8 to 11.5 +/- 0.8 years. 23 healthy adolescents with normal onset of puberty (14.7 +/- 2.1 years, 19 females) were the controls. BMI and body composition (dual-energy x-ray absorptiometry) were assessed.
Results: Patients reached their near adult height (-0.5 +/- 1.1 standard deviation score (SDS)); the girls were menstruating and the majority (15/17) had regular cycles, the boys showed normal testicular function. BMI was unchanged from the start of GnRH analogue therapy (0.4 +/- 1.0 SDS) to near adult height (0.2 +/- 1.0 SDS, p = NS vs. 0). Total fat mass (TFM) was significantly increased (16,144 +/- 8,065 g; controls 10,712.1 +/- 4,120.4 g, p < 0.02); glucose homeostasis and lipid profile corresponded to reference ranges.
Conclusions: GnRH analogue therapy did not show long-term detrimental effects on BMI, but it may increase TFM, suggesting that body composition should be monitored till adulthood.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1159/000197862 | DOI Listing |
Commun Biol
January 2025
Department of Bioengineering, Imperial College London, South Kensington, London, SW7 2AZ, UK.
Form-function relationships often have tradeoffs: if a material is tough, it is often inflexible, and vice versa. This is particularly relevant for the elephant trunk, where the skin should be protective yet elastic. To investigate how this is achieved, we used classical histochemical staining and second harmonic generation microscopy to describe the morphology and composition of elephant trunk skin.
View Article and Find Full Text PDFSci Rep
January 2025
Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan.
This study aimed to address the limitations of conventional methods for measuring skeletal muscle mass for sarcopenia diagnosis by introducing an artificial intelligence (AI) system for direct computed tomography (CT) analysis. The primary focus was on enhancing simplicity, reproducibility, and convenience, and assessing the accuracy and speed of AI compared with conventional methods. A cohort of 3096 cases undergoing CT imaging up to the third lumbar (L3) level between 2011 and 2021 were included.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Medicine, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada
Objective: The study aims to assess the effect of intrauterine metformin exposure on offspring adiposity measures in childhood.
Design: Systematic review and meta-analysis.
Data Sources: Medline, Embase and Cochrane Central were searched from inception to 4 October 2024.
Korean J Intern Med
January 2025
Department of Basic Nutrition, Ningbo College of Health Sciences, Ningbo, China.
Background/aims: Dexamethasone (DEX) is a widely used exogenous therapeutic glucocorticoid in clinical settings. Its long-term use leads to many side effects. However, its effect on metabolic disorders in individuals on a high-fat diet (HFD) remains poorly understood.
View Article and Find Full Text PDFComput Biol Med
January 2025
Department of Simulation and Graphics, Faculty of Computer Science, University of Magdeburg, Universitätsplatz 2 39106, Magdeburg, Germany; Department of Computational Medicine, Ilmenau University of Technology, Germany.
Purpose: This paper presents a deep learning-based multi-label segmentation network that extracts a total of three separate adipose tissues and five different muscle tissues in CT slices of the third lumbar vertebra and additionally improves the segmentation of the intermuscular fat.
Method: Based on a self-created data set of 130 patients, an extended Unet structure was trained and evaluated with the help of Dice score, IoU and Pixel Accuracy. In addition, the interobserver variability for the decision between ground truth and post-processed segmentation was calculated to illustrate the relevance in everyday clinical practice.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!