Publications related to Magnitude of gluconeogenesis and endogenous glucose production: are they predictable in clinical settings?

Related publications (31)

Dataset - Generative Approaches to Kinetic Parameter Inference in Metabolic Networks via Latent Space Exploration

Oussama Gabouj, Vassily Hatzimanikatis, Ljubisa Miskovic, Subham Choudhury, Ilias Toumpe

Dataset needed to reproduce the results in the manuscript by "Generative Approaches to Kinetic Parameter Inference in Metabolic Networks via Latent Space Exploration" by S. Choudhury et al. (under review, a preprint available at https://www.biorxiv.org/con ...

Zenodo2025

The role of computational methods in cardiovascular medicine: a narrative review

Alfio Quarteroni, Luca Dede', Christian Vergara, Stefano Pagani

Background and Objective: Computational models of the cardiovascular system allow for a detailed and quantitative investigation of both physiological and pathological conditions, thanks to their ability to combine clinical-possibly patient-specific-data wi ...

Ame Publishing Company2024

The hindbrain and cortico-reticular pathway in adolescent idiopathic scoliosis

Bénédicte Marie Maréchal

AIM: To characterise the corticoreticular pathway (CRP) in a case -control cohort of adolescent idiopathic scoliosis (AIS) patients using high -resolution slice -accelerated readoutsegmented echo -planar diffusion tensor imaging (DTI) to enhance the discri ...

W B Saunders Co Ltd2024

Using Negative Control Populations to Assess Unmeasured Confounding and Direct Effects

Mats Julius Stensrud

Sometimes treatment effects are absent in a subgroup of the population. For example, penicillin has no effect on severe symptoms in individuals infected by resistant Staphylococcus aureus, and codeine has no effect on pain in individuals with certain polym ...

Lippincott Williams & Wilkins2024

SLC25A46 promotes mitochondrial fission and mediates resistance to lipotoxic stress in INS-1E insulin-secreting cells

Loïc Dayon, Andreas Wiederkehr

Glucose sensing in pancreatic D-cells depends on oxidative phosphorylation and mitochondria-derived signals that promote insulin secretion. Using mass spectrometry-based phosphoproteo-mics to search for downstream effectors of glucose-dependent signal tran ...

COMPANY BIOLOGISTS LTD2023

Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling

Felix Naef, Nicholas Edward Phillips

Wearable biosensors and smartphone applications can measure physiological variables over multiple days in free-living conditions. We measure food and drink ingestion, glucose dynamics, physical activity, heart rate (HR), and heart rate variability (HRV) in ...

CELL PRESS2023

Rapid low-cost hyperspectral imaging system for quantitative assessment of infantile hemangioma

Viktor Vorobev

Hemangioma, the predominant benign tumor occurring in infancy, exhibits a wide range of prognoses and associated outcomes. The accurate determination of prognosis through noninvasive imaging modalities holds essential importance in enabling effective perso ...

Wiley-V C H Verlag Gmbh2023

Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records

Silvestro Micera

Amyloidosis refers to a range of medical conditions in which misshapen proteins accumulate in various organs and tissues, forming insoluble fibrils. Cardiac amyloidosis is frequently linked to the buildup of misfolded transthyretin (TTR) or immunoglobulin ...

IEEE2023

Modeling tumor size dynamics based on real-world electronic health records and image data in advanced melanoma patients receiving immunotherapy

Federico Amato

The development of immune checkpoint inhibitors (ICIs) has revolutionized cancer therapy but only a fraction of patients benefits from this therapy. Model-informed drug development can be used to assess prognostic and predictive clinical factors or biomark ...

2023

Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis

Michele De Palma, Nahal Mansouri

Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...

2023

How I became myself after merging with a computer: Does human-machine symbiosis raise human rights issues?

Marcello Ienca

Novel usages of brain stimulation combined with artificially intelligent (AI) systems promise to address a large range of diseases. These new conjoined technologies, such as brain-computer interfaces (BCI), are increasingly used in experimental and clinica ...

ELSEVIER SCIENCE INC2023

Microtubule-mediated GLUT4 trafficking is disrupted in insulin-resistant skeletal muscle

Martinus Adela Maria Gijs, Raphaël Etienne Jean Trouillon, Martin Rainer Wohlwend

Microtubules serve as tracks for long-range intracellular trafficking of glucose transporter 4 (GLUT4), but the role of this process in skeletal muscle and insulin resistance is unclear. Here, we used fixed and live-cell imaging to study microtubule-based ...

eLIFE SCIENCES PUBL LTD2023

Translational screening platform to evaluate chemotherapy in combination with focal therapy for retinoblastoma

Paul Joseph Dyson, Valentin Simeonov, Fabien Kuttler, Patrik Aouad, Irina Sinenko

Retinoblastoma is the most common pediatric eye cancer. It is currently treated with a limited number of drugs, adapted from other pediatric cancer treatments. Drug toxicity and relapse of the disease warrant new therapeutic strategies for these young pati ...

WILEY2023

Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations

Cristina Ramona Cudalbu Moldovan

Magnetic resonance spectroscopy is a powerful, non-invasive, quantitative imaging technique that allows for the measurement of brain metabolites that has demonstrated utility in diagnosing and characterizing a broad range of neurological diseases. Its impa ...

FRONTIERS MEDIA SA2023

NAD(+) Metabolism and Interventions in Premature Renal Aging and Chronic Kidney Disease

Vincenzo Sorrentino

Premature aging causes morphological and functional changes in the kidney, leading to chronic kidney disease (CKD). CKD is a global public health issue with far-reaching consequences, including cardio-vascular complications, increased frailty, shortened li ...

MDPI2023

In vitro-transfusional model for red-blood-cell study: the advantage of lowering hematocrit

Gerardo Turcatti, Michel Prudent, Manon Sandra Bardyn

Background - Thequalityof red blood cells (RBCs) stored in red cell concentrates (RCCs) is influenced by processing, storage and donor characteristics, and can have a clinical impact on transfused patients. To evaluate RBC properties and their potential im ...

Simtipro Srl2023

Determining patterns of post-stroke motor recovery through longitudinal multimodal MRI: A step towards patient stratification

Julia Brügger

Motivated by the need for a better understanding of post-stroke recovery and new biomarkers to improve stroke patient stratification and outcomes, this thesis investigated structure-function coupling and its role in post-stroke recovery. Furthermore, in or ...

EPFL2022

The role of nicotinamide riboside metabolism in pancreatic beta cells

Angélique Satoko Cercillieux

Pancreatic beta cells play a major role in the regulation of glucose homeostasis by secreting insulin in response to elevated blood glucose levels. A gradual deterioration of functional beta cell mass and the chronic elevation of blood glucose levels are c ...

EPFL2022

Identifying Disease-Specific Neural Reactivity to Psychosocial Stress in Borderline Personality Disorder

Dimitri Nestor Alice Van De Ville

BACKGROUND: Patients with borderline personality disorder (BPD) typically present emotion dysregulation (ED) when faced with adversity. However, it is argued that altered stress response may be more influenced by ED than BPD-specific traits. Here, we inves ...

ELSEVIER2022

Bioengineering a glucose oxidase nanosensor for near-infrared continuous glucose monitoring

Ardemis Anoush Boghossian, Vitalijs Zubkovs, Nils Schürgers, Hanxuan Wang

Single-walled carbon nanotubes (SWCNTs) emit photostable near-infrared fluorescence that is conducive for optical glucose monitoring. Such SWCNT-based optical sensors often require the immobilization of proteins that can confer glucose selectivity and reac ...

2022