Leptin, an adipocyte secreted hormone, acts in the hypothalamus to inhibit appetite and promote thermogenic metabolism, thereby reducing adiposity and body weight. Leptin has multiple autonomic and cardiovascular actions, including sympathetic activation, increases in endothelium derived nitric oxide (NO), and angiogenesis. The predominant cardiovascular effect of chronic hyperleptinemia is a pressor effect mediated by increased sympathetic activity. The sympathetic and cardiovascular actions of leptin are discussed and evidence derived from studies of obese mice for the novel concept of selective leptin resistance is reviewed. This concept holds that in some obese states, there is preservation of the sympathoexcitatory actions of leptin despite resistance to the satiety and weight-reducing actions of the hormone. Selective leptin resistance might explain how hyperleptinemia could contribute to increases in sympathetic activity and arterial pressure in obese states where there is resistance to the metabolic (satiety and weight-reducing) actions of leptin. It is speculated here, that this concept may have potential implications for human obesity, which is often associated with elevated plasma leptin and partial resistance to the satiety effects of leptin. If selective leptin resistance occurs in obese humans, then leptin could contribute to the sympathetic overactivity and hypertension despite resistance to its metabolic actions.
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http://dx.doi.org/10.1097/00004872-200207000-00001 | DOI Listing |
Nutrients
January 2025
Department of Human Physiology, School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban 4000, South Africa.
Background: Prediabetes is a condition that often precedes the onset of type 2 diabetes mellitus (T2DM). Literature evidence indicates that prediabetes is reversible, making it an important therapeutic target for preventing the progression to T2DM. Several studies have investigated intermittent fasting as a possible method to manage or treat prediabetes.
View Article and Find Full Text PDFChildren (Basel)
January 2025
Centro de Investigación Biomédica de La Rioja (CIBIR), 26006 Logroño, Spain.
Background: Childhood obesity is a major public health concern, being linked to an increased risk of metabolic disorders and cardiovascular disease. Even in childhood, obesity is associated with systemic low-grade inflammation, which is a critical factor in the development of atherosclerosis and a predictor of cardiovascular morbidity and mortality.
Objectives: To describe the prevalence of obesity and examine the relationship between IL-6, TNF-α, adiponectin, leptin, the leptin/adiponectin (L/A) ratio, and Klotho levels with BMI in children.
Biotechnol Prog
January 2025
Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Type 2 diabetes mellitus (T2DM) and obesity are critical global health issues with rising incidence rates. Glucagon-like peptide-1 (GLP-1) analogues have emerged as effective treatments due to their ability to regulate blood glucose levels and gastric emptying through central nervous signals involving hypothalamic receptors, such as leptin. To address the short plasma half-life of native GLP-1, a C-16 fatty acid was conjugated to lysine in the GLP-1 analogue sequence to enhance its longevity.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, Maryland, USA.
Introduction: The plasma proteome's mediating or moderating roles in the association between poor cardiovascular health (CVH) and brain white matter (WM) microstructural integrity are largely unknown.
Methods: Data from 3953 UK Biobank participants were used (40-70 years, 2006-2010), with a neuroimaging visit between 2014 and 2021. Poor CVH was determined using Life's Essential 8 (LE8) and reversing standardized z-scores (LE8 ).
Diabetes Metab Res Rev
January 2025
Division of Research, Kaiser Permanente Northern California, Pleasanton, California, USA.
Aims: Gestational diabetes mellitus (GDM) poses a significant risk for developing type 2 diabetes mellitus (T2D) and exhibits heterogeneity. However, understanding the link between different types of post-GDM individuals without diabetes and their progression to T2D is crucial to advance personalised medicine approaches.
Materials And Methods: We employed a discovery-based unsupervised machine learning clustering method to generate clustering models for analysing metabolomics, clinical, and biochemical datasets.
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