Background: Hypertriglyceridemia is associated with increased risk for cardiovascular diseases and type 2 diabetes (T2D). Angiopoietin like proteins particularly 3, 4 and recently 8 are well established regulators of plasma triglyceride level through regulating the activity of lipoprotein lipase. Plasma level and association between ANGPTL3, 4 and 8 is not well established in human subjects. This study was designed to establish the level of these proteins in plasma and adipose tissues and investigate the association between ANGPTL8 with ANGPTL3 and 4 in T2D and non-diabetics subjects.
Methods: A total of 235 subjects were enrolled in this study, 144 non-diabetics and 91 T2D. ANGPTL 3, 4 and 8 levels were measured in plasma by ELISA and using real time RT-PCR in adipose tissues.
Results: In this study, we showed that ANGPTL3, 4 and 8 were higher in T2D subjects. Dividing the non-diabetic subjects according to their BMI showed higher level of ANGPTL3, 4 and 8 in obese subjects compared to non-obese subjects. No significant difference was observed between the T2D subjects. ANGPTL8 was showed positive correlation with ANGPTL3 in the non-diabetic subjects in the non-obese (r = 0.2437, p-Value = 0.0543) and obese subjects (r = 0.418, p-Value = 0.0125). No association was observed in the T2D subjects. On the other hand, ANGPTL4 was positively associated with the obese subjects in both the non-diabetics (r = 0.3322, p-Value = 0.0316) and the obese T2D subjects (r = 0.3161, p-Value = 0.0211).
Conclusion: In conclusion, our data shows that ANGPTL3, 4 and 8 are increased in obesity and T2D. ANGPTL8 associates with ANGPTL3 in the non-diabetic subjects while it associated more with ANGPTL4 in the obese and T2D subjects. Taken together, this data highlight the role of these proteins in metabolic diseases and how they interact with each other's under different physiological and pathophysiological conditions.
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http://dx.doi.org/10.1186/s12944-016-0337-x | DOI Listing |
Int J Mol Sci
January 2025
College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates.
Type 2 diabetes (T2D) is a heterogeneous disease influenced by both genetic and environmental factors. Recent studies suggest that T2D subtypes may exhibit distinct gene expression profiles. In this study, we aimed to identify T2D cluster-specific miRNA expression signatures for the previously reported five clinical subtypes that characterize the underlying pathophysiology of long-standing T2D: severe insulin-resistant diabetes (SIRD), severe insulin-deficient diabetes (SIDD), mild age-related diabetes (MARD), mild obesity-related diabetes (MOD), and mild early-onset diabetes (MEOD).
View Article and Find Full Text PDFComput Biol Med
January 2025
University of Virginia, Center for Diabetes Technology, Charlottesville, VA, 22903, USA. Electronic address:
Diabetes presents a significant challenge to healthcare due to the short- and long-term complications associated with poor blood sugar control. Computer simulation platforms have emerged as promising tools for advancing diabetes therapy by simulating patient responses to treatments in a virtual environment. The University of Virginia Virtual Lab (UVLab) is a new simulation platform engineered to mimic the metabolic behavior of individuals with type 2 diabetes (T2D) using a mathematical model of glucose homeostasis in T2D and a large population of 6062 virtual subjects.
View Article and Find Full Text PDFCureus
December 2024
Diabetes Research Group, Swansea University Medical School, Swansea, GBR.
Introduction Type 2 diabetes (T2D) and metabolic dysfunction-associated steatotic liver disease (MASLD) have shared pathophysiology. We aim to explore associations between these diseases and the impact of T2D therapies on MASLD-related outcomes in a real-world population. Methods A retrospective cohort study included 153 patients with biopsy-proven MASLD.
View Article and Find Full Text PDFInt J Equity Health
January 2025
Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium.
Background: Although the Chronic Care Model (CCM) provides the essential structural components of practice organisation to deliver high-quality type 2 diabetes (T2D) care, little is known about which of its elements are most important, and the extent to which it may reduce social inequities in the quality of T2D care. This study aims to assess the association between the implementation of CCM's structural elements and the quality of T2D care processes and outcomes in Flanders (Belgium), paying specific attention to differences by patients' socioeconomic vulnerability.
Methods: We developed a longitudinal database combining information on primary care practices' CCM implementation, with individual-level health insurance and medical lab data.
Diabetes Metab
January 2025
Professor of Medicine, Division of Endocrinology and Metabolism, Jacobs School of Medicine, University at Buffalo, Buffalo, NY, USA. Electronic address:
Introduction: . Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are used in subjects with type 2 diabetes (T2D) and obesity. However, concerns over their association with acute pancreatitis (AP) have emerged.
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