Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Purpose Of Review: To provide a comprehensive overview of hypertriglyceridemia (HTG) in youth, identifying gaps in categorizing triglyceride (TG) levels and management strategies, and exploring new therapies for TG reduction.
Recent Findings: Non-fasting TG levels as important cardiovascular (CV) risk indicators, with HTG's pathophysiology involving genetic and secondary factors affecting TG metabolism. Emerging treatments, including those affecting the lipoprotein lipase complex and inhibiting proteins like apoC3 and ANGPTL3, show promise. The review highlights the need for specific management approaches for youth, the significance of non-fasting TG levels, and the potential of new therapies in reducing CV and pancreatitis risks, advocating for further research on these treatments' efficacy and safety.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11519174 | PMC |
| http://dx.doi.org/10.1007/s11883-024-01237-z | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Predicting stimulated C-peptide in type 1 diabetes using machine learning: a web-based tool from the T1D exchange registry.
Diabetes Res Clin Pract
September 2025
Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Canakkale Onsekiz Mart University, Canakkale, Turkey.
Aims: The mixed-meal tolerance test (MMTT), though considered the gold standard for evaluating residual beta-cell function in type 1 diabetes mellitus (T1D), is impractical for routine use. We aimed to develop and validate a machine learning (ML) model to predict MMTT-stimulated C-peptide categories using routine clinical data.
Methods: Data from 319 individuals in the T1D Exchange Registry with complete MMTT and clinical information were analyzed.
Vitamin intake and its association with type 2 diabetes mellitus (T2DM) among Malaysian adults.
BMC Public Health
August 2025
Faculty of Medicine, Department of Public Health Medicine, Universiti Kebangsaan Malaysia, Cheras, Kuala Lumpur, Malaysia.
Background: Vitamin deficiency could increase the prevalence of type 2 diabetes mellitus (T2DM). Thus, this study aimed to determine the association between dietary vitamin intake and the prevalence of T2DM among the Malaysian adult population.
Methods: This cross-sectional study involved 9,314 participants from Prospective Urban and Rural Epidemiology Study (PURE) conducted in Malaysia.
Sensor-based evaluation of intermittent fasting regimes: a machine learning and statistical approach.
Int J Obes (Lond)
August 2025
Department of Molecular Metabolism and Precision Nutrition, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
The primary aim was to develop and assess the performance and applicability of different models utilizing sensor data to determine dietary adherence, specifically within the context of intermittent fasting. Our approach utilized time-series data from two completed human trials, which included continuous glucose monitoring, acceleration data, and food diaries, and a synthetic data set. Machine learning models achieved an average F1-score of 0.
View Article and Find Full Text PDFEffect of Ramadan Fasting on Blood Pressure and Kidney Functions in Newly Diagnosed Hypertensive Patients: A Study in Konya, Turkey.
J Clin Hypertens (Greenwich)
August 2025
Department of Cardiology, Konya City Hospital, Konya, Turkey.
Ramadan fasting involves abstaining from food and drink from dawn to sunset, yet its impact on blood pressure (BP) and kidney function in newly diagnosed hypertensive patients remains unclear. This retrospective study examined 200 newly diagnosed hypertensive patients from Konya, Turkey, during Ramadan 2023. Half of the patients (n = 100) observed daily fasting throughout Ramadan, while the other half (n = 100) did not.
View Article and Find Full Text PDFAssociation of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study.
Cardiovasc Diabetol
August 2025
Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Background: No previous studies have explored metabolites associated with both genetic predispositions to type 2 diabetes (T2DM) and T2DM onset. Therefore, we aimed to explore metabolic profiles using genetic risk to identify pathways for tailored T2DM prevention strategies.
Methods: This prospective community-based cohort study in Japan included a total of 12,461 participants aged ≥ 20 years.