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Search results (113)

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NMR metabolomics and glycomics for cancer detection in patients with non-specific symptoms: a prospective observational cohort study.

Kacerova T. et al, (2026), EBioMedicine, 131

Dual inhibition of SGLT 1 and 2 by sotagliflozin alleviates intracellular sodium overload and improves cardiometabolic remodelling in uraemic cardiomyopathy.

Young M. et al, (2026), Cardiovasc Res

Atlas of Brain Glucose Metabolism Using Deuterium Metabolic Imaging at 3 T.

Trosborg KK. et al, (2026), Magn Reson Med

Repeatability of Rapid Human Cardiac Phosphorus MRSI (31P-MRSI) Using Concentric Ring Trajectory Readouts at 7 T.

Mózes FE. et al, (2026), Magn Reson Med, 95, 2508 - 2514

Exploring brain glucose metabolism in multiple sclerosis: A deuterium metabolic imaging study.

Khan AS. et al, (2026), J Cereb Blood Flow Metab

IMPROVE-DiCE, a 2-Part, Open-Label, Phase 2a Trial Evaluating the Safety and Effectiveness of Ninerafaxstat in Patients With Cardiometabolic Syndromes.

Hundertmark MJ. et al, (2026), Circulation, 153, 550 - 563

Targeting immunometabolic pathways with AZD1656 alleviates inflammation and metabolic dysfunction in type 2 diabetic cardiomyopathy.

Anderson S. et al, (2026), Nat Cardiovasc Res, 5, 138 - 154

Integrating NMR Metabolomics and Glycomics for Early Cancer Detection in Patients with Non-Specific Symptoms

Kacerova T. et al, (2026)

Accuracy and Reliability of an MR-Compatible Dorsiflexion Ergometer for Dynamic 31P-MRS: Comparison With a Clinical Dynamometer in Individuals With and Without Obesity.

Stouge A. et al, (2026), NMR Biomed, 39

Quantum spin resonance in engineered proteins for multimodal sensing.

Abrahams G. et al, (2026), Nature, 649, 1172 - 1179

ltered systemic bioenergetic reserve in chronic kidney disease predisposes hearts to worse functional outcomes.

Young M. et al, (2025), Sci Rep, 15

Stable electron-irradiated [1-13C]alanine radicals for metabolic imaging with dynamic nuclear polarization.

Rooney CHE. et al, (2025), Sci Adv, 11

Systems Biology and Functional Assessments of Human iPSC-Cardiomyocyte Models of Insulin Resistance Capture Key Hallmarks of Diabetic Cardiomyopathy.

Carter RD. et al, (2025), Diabetes, 74, 1929 - 1945

Machine learning-based prediction of anxiety disorders using blood metabolite and social trait data from the UK Biobank.

Smith A. et al, (2025), Brain Behav Immun Health, 46

Hyperpolarized 13C-MRS can Quantify Lactate Production and Oxidative PDH Flux in Murine Skeletal Muscle During Exercise.

Curtis MK. et al, (2025), NMR Biomed, 38

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