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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007-2016.
Sci Rep
January 2025
Department of Anesthesiology and Surgical Intensive Care Unit, Kunming Children's Hospital, Kunming, Yunnan, China.
Metabolic syndrome (Mets) in adolescents is a growing public health issue linked to obesity, hypertension, and insulin resistance, increasing risks of cardiovascular disease and mental health problems. Early detection and intervention are crucial but often hindered by complex diagnostic requirements. This study aims to develop a predictive model using NHANES data, excluding biochemical indicators, to provide a simple, cost-effective tool for large-scale, non-medical screening and early prevention of adolescent MetS.
View Article and Find Full Text PDFIdentification of Specific microRNAs in Adipose Tissue Affected by Lipedema.
Curr Issues Mol Biol
October 2024
GalaScreen Laboratories, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy.
Lipedema is a chronic disorder affecting women with a 10% incidence worldwide. It is often confused with obesity. This study was undertaken to study microRNAs in lipedema tissue assessed by direct hybridization using the robust n-counter flex DX CE-IVD platform.
View Article and Find Full Text PDFAre Lean Body Mass and Fat-Free Mass the Same or Different Body Components? A Critical Perspective.
Adv Nutr
December 2024
Federal University of Pelotas, Post-graduate Program in Nutrition and Food, Pelotas, Brazil.
The 2-component molecular-level model dividing body mass into fat and fat-free mass (FFM) is a cornerstone of contemporary body composition research across multiple disciplines. Confusion prevails, however, as the term lean body mass (LBM) is frequently used interchangeably with FFM in scientific discourse. Are LBM and FFM the same or different body components? Captain Albert R.
View Article and Find Full Text PDFPhysiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve.
Comput Methods Programs Biomed
January 2025
Department of Experimental and Clinical Medicine, Università degli Studi Magna Græcia, Catanzaro, Italy. Electronic address:
Background And Objective: Binge eating disorder (BED) is the most frequent eating disorder, often confused with obesity, with which it shares several characteristics. Early identification could enable targeted therapeutic interventions. In this study, we propose a hybrid pipeline that, starting from plasma glucose data acquired during the Oral Glucose Tolerance Test (OGTT), allows us to classify the two types of patients through computational modeling and artificial intelligence.
View Article and Find Full Text PDFRethinking the Terminology: A Perspective on Renaming Polycystic Ovary Syndrome for an Enhanced Pathophysiological Understanding.
Clin Med Insights Endocrinol Diabetes
October 2024
Department of Endocrinology, University Hospital of Farhat Hached Sousse, Tunisia.
Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder that affects women at various stages of life, presenting a wide range of symptoms and health implications. The term "Polycystic Ovary Syndrome" can be misleading, prompting many within the medical community and advocacy groups to advocate for a name change. Critics argue that this terminology can complicate understanding and awareness of the disease among patients.
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