Results 41 to 50 of about 951,131 (359)

Insulin Signaling and Insulin Resistance [PDF]

open access: yesJournal of Investigative Medicine, 2013
Insulin resistance or its sequelae may be the common etiology of maladies associated with metabolic syndrome (eg, hypertension, type 2 diabetes, atherosclerosis, heart attack, stroke, and kidney failure). It is thus important to understand those factors that affect insulin sensitivity.
openaire   +3 more sources

Betatrophin and Insulin Resistance

open access: yesMetabolites, 2022
Betatrophin (angiopoietin-like protein 8 (ANGPTL8)) is a hormone that was recently discovered in the human liver. Multiple homologous sequences have been detected in mammalian liver, white adipose, and brown adipose tissues. Betatrophin is crucial for the development of type 2 diabetes (T2D), insulin resistance, and lipid metabolism.
Qi Guo, Shicheng Cao, Xiaohong Wang
openaire   +3 more sources

Helicobacter pylori infection and insulin resistance in diabetic and nondiabetic population [PDF]

open access: yes, 2014
Helicobacter pylori (HP) is a common worldwide infection with known gastrointestinal and nongastrointestinal complications. One of the gastrointestinal side effects posed for this organism is its role in diabetes and increased insulin resistance. The aim
Bagherzadeh, M.   +3 more
core   +1 more source

Insulin Resistance and Atherosclerosis [PDF]

open access: yesEndocrine Reviews, 2006
The epidemic of obesity in the developed world over the last two decades is driving a large increase in type 2 diabetes and consequentially setting the scene for an impending wave of cardiovascular morbidity and mortality. It is only now being recognized that the major antecedent of type 2 diabetes, insulin resistance with its attendant syndrome, is ...
Anthony M. Dart   +4 more
openaire   +4 more sources

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

Metabolic syndrome and insulin resistance in obese adolescents

open access: yesRevista Paulista de Pediatria, 2014
Objective: To verify the prevalence of metabolic syndrome and insulin resistance in obese adolescents and its relationship with different body composition indicators.
Amanda Oliva Gobato   +4 more
doaj   +1 more source

Insulin Resistance in Peripheral Tissues and the Brain: A Tale of Two Sites

open access: yesBiomedicines, 2022
The concept of insulin resistance has been around since a few decades after the discovery of insulin itself. To allude to the classic Charles Dicken’s novel published 62 years before the discovery of insulin, in some ways, this is the best of times, as ...
Elizabeth M. Rhea   +2 more
doaj   +1 more source

The novel adiponectin-resistin (AR) and insulin resistance (IR~AR~) indexes [PDF]

open access: yes, 2010
Serum hypoadiponectinemia and hyperrestinemia independently links insulin resistance to type 2 diabetes (T2DM) and metabolic syndrome (MS). Thus, the aim of this study was propose a novel adiponectin-resistin (AR) index by unifying the effect of ...
Cia-Hin Lau, Sekaran Muniandy
core   +1 more source

Inflammation and insulin resistance [PDF]

open access: yesFEBS Letters, 2007
Obesity‐induced chronic inflammation is a key component in the pathogenesis of insulin resistance and the Metabolic syndrome. In this review, we focus on the interconnection between obesity, inflammation and insulin resistance. Pro‐inflammatory cytokines can cause insulin resistance in adipose tissue, skeletal muscle and liver by inhibiting insulin ...
Jerrold M. Olefsky, Carl de Luca
openaire   +3 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

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