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Concept

Diabète sucré

Publications associées (30)

Asperuloside Improves Obesity and Type 2 Diabetes through Modulation of Gut Microbiota and Metabolic Signaling

Johan Auwerx, Giorgia Benegiamo

Asperuloside (ASP) is an iridoid glycoside that is extracted from Eucommia leaves. Eucommia is used in traditional Chinese medicine and has a long history of benefits on health and longevity. Here, we investigated the impact of ASP on obesity-related metab ...

2020

NAD(+) homeostasis in health and disease

Johan Auwerx, Elena Katsyuba, Mario Romani, Dina Hofer

The conceptual evolution of nicotinamide adenine dinucleotide (NAD(+)) from being seen as a simple metabolic cofactor to a pivotal cosubstrate for proteins regulating metabolism and longevity, including the sirtuin family of protein deacylases, has led to ...

2020

Targeting Mitochondrial Calcium Uptake with the Natural Flavonol Kaempferol, to Promote Metabolism/Secretion Coupling in Pancreatic beta-cells

Guillaume Jacot

Pancreatic beta-cells secrete insulin to lower blood glucose, following a meal. Maintenance of beta-cell function is essential to preventing type 2 diabetes. In pancreatic beta-cells, mitochondrial matrix calcium is an activating signal for insulin secreti ...

2020

Design optimization of Miniature Magnetorheological Valves with Self-Sensing Capabilities Used for a Wearable Medical Application

Yves Perriard, Yoan René Cyrille Civet, Sofia Lydia Ntella, Minh Trung Duöng

Magnetorheological (MR) fluids are materials characterized as “intelligent” since their rheological properties may be controlled by the excitation of an external magnetic field. The application of the latter brings the fluid from a liquid to a semi-solid s ...

IEEE2020

Skeletal muscle enhancer interactions identify genes controlling whole-body metabolism

Johan Auwerx, Martin Rainer Wohlwend

Obesity and type 2 diabetes (T2D) are metabolic disorders influenced by lifestyle and genetic factors that are characterized by insulin resistance in skeletal muscle, a prominent site of glucose disposal. Numerous genetic variants have been associated with ...

Nature Research2020

Growth differentiation factor 15 protects against the aging-mediated systemic inflammatory response in humans and mice

Johan Auwerx, Jun Yong Kim, Dongryeol Ryu, Ludger Jan Elzuë Goeminne

Mitochondrial dysfunction is associated with aging-mediated inflammatory responses, leading to metabolic deterioration, development of insulin resistance, and type 2 diabetes. Growth differentiation factor 15 (GDF15) is an important mitokine generated in r ...

2020

Synchronous nonmonotonic changes in functional connectivity and white matter integrity in a rat model of sporadic Alzheimer's disease

Bernard Lanz, Carole Poitry-Yamate, Katarzyna Pierzchala, Ileana Ozana Jelescu, Ting Yin, Yujian Diao

Brain glucose hypometabolism has been singled out as an important contributor and possibly main trigger to Alzheimer's disease (AD). Intracerebroventricular injections of streptozotocin (icv-STZ) cause brain glucose hypometabolism without systemic diabetes ...

2020

Metabolic and perfusion responses to acute hypoglycemia in the rat cortex: A non-invasive magnetic resonance approach

Rolf Gruetter, Hongxia Lei

Hypoglycemia is critical condition during diabetic treatment that involves intensive insulin therapy, and it may impair brain function. We aimed to compare cortical responses of three hypoglycemic phases and the restoration of glycemia to control levels af ...

Wiley-Blackwell2020

Beta amyloid and hyperphosphorylated tau deposits in the pancreas in type 2 diabetes

László Forró, Aleksandra Radenovic, Andras Kis

Strong epidemiologic evidence suggests an association between Alzheimer disease (AD) and type 2 diabetes. To determine if amyloid beta (A

\beta

) and hyperphosphorylated tau occurs in type 2 diabetes, pancreas tissues from 21 autopsy cases (10 type 2 diabe ...

Elsevier2010

Competitive Neural Layer-based Method to Identify People with High Risk for Diabetic Foot

André Anjos

Background and objective: To automatically identify patients with diabetes mellitus (DM) who have high risk of developing diabetic foot, via an unsupervised machine learning technique. Methods: We collected a new database containing 54 known risk factors f ...

2020