Context: There is a 4- to 5-year variation in age of breast maturation in girls.
Objective: To examine longitudinal changes in sex hormone values relative to chronologic age and time relative to breast maturation.
Setting And Design: Longitudinal observational study into which girls were recruited at 6 to 7 years of age and followed up every 6 months.
Main Outcome Measures: Maturation status, chronologic age, race, and fasting blood specimen data were obtained. Hormones were analyzed at 6-month intervals between 2 years before and 1 year after breast maturation, using HPLC tandem mass spectroscopy.
Results: Estradiol and estrone levels correlated with chronologic age (R = 0.350 and 0.444, respectively); time was correlated relative to breast maturation (R = 0.222 and 0.323, respectively; all correlations, P < 0.0001). In generalized estimating equation (GEE) models, chronologic age and time relative to pubertal onset were significantly associated with serum estradiol, with similar results for estrone. Local estimated scatterplot smoothing for estradiol and estrone, by chronologic age, demonstrated differences between black and white girls, especially between 8.5 and 11 years of age, but not by race in time relative to breast maturation. Testosterone level was correlated to chronologic age (R = 0.362) and time relative to breast maturation (R = 0.259); in the GEE model, only chronologic age was significant.
Conclusion: Chronologic age as well as time relative to onset of puberty provided unique information regarding estradiol and estrone concentrations in peripubertal girls. Serum estrogen concentrations should be evaluated with reference to chronologic age and race.
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http://dx.doi.org/10.1210/jc.2018-02684 | DOI Listing |
Aging Cell
January 2025
Department of Biobehavioral Health, Penn State University, University Park, Pennsylvania, USA.
Epigenetic clocks are a common group of tools used to measure biological aging-the progressive deterioration of cells, tissues, and organs. Epigenetic clocks have been trained almost exclusively using blood-based tissues, but there is growing interest in estimating epigenetic age using less-invasive oral-based tissues (i.e.
View Article and Find Full Text PDFJ Cutan Pathol
January 2025
Program in Dermatopathology, Department of Pathology, Brigham and Women's Hospital/Mass General Brigham, Boston, Massachusetts, USA.
The human body is composed mostly of water fortified by a variety of proteins, fats, carbohydrates, vitamins, minerals, and other nutrients, all organized into an elegant structurally complex and functionally efficient machine in which our consciousness resides. This heterogeneous assemblage of essential ingredients is enclosed in a container known as the integument, or simply, the skin. The container is as important as its contents; when itself devoid of structural and functional integrity, it will both leak as well as become infused with potentially harmful external agents.
View Article and Find Full Text PDFBiomedicine (Taipei)
December 2024
Department of Genetics, Endocrinology and Metabolism, China Medical University Children's Hospital, Taichung, Taiwan.
Background: Bone age (BA) and sexual maturity rating (SMR) are crucial measures in assessing adolescent growth and development. However, studies specifically focusing on the association between BA and SMR in the Taiwanese adolescent population are limited. This study aims to utilize AI-assessed BA results to establish a relationship between BA and SMR in the Taiwanese adolescent population, particularly regarding the initiation of puberty.
View Article and Find Full Text PDFNaturwissenschaften
January 2025
Training & Education), Advanced Institute for Wildlife Conservation (Research, Vandalur, Chennai, Tamil Nadu, India.
Eurybiomic big cats are facing significant threats from poaching, which is driven by recreation, taxidermy and wildlife trade. Species identification and age estimation are important for effective conservation management and enforcement of wildlife protection regulations. In this study, we present novel comprehensive morphometric methods for species identification and age estimation in leopards (Panthera pardus fusca) using canine and claw, the major trade articles.
View Article and Find Full Text PDFGeroscience
January 2025
Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
With the development of deep learning (DL) techniques, there has been a successful application of this approach to determine biological age from latent information contained in retinal images. Retinal age gap (RAG) defined as the difference between chronological age and predicted retinal age has been established previously to predict the age-related disease. In this study, we performed discovery genome-wide association analysis (GWAS) on the RAG using the 31,271 UK Biobank participants and replicated our findings in 8034 GoDARTS participants.
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