Glucose-Induced Hemodynamic and Metabolic Response of Skeletal Muscle in Heart Failure Patients with Reduced vs. Preserved Ejection Fraction-A Pilot Study.
Michael BoschmannLars KlugFrank EdelmannAnja SandekStephan von HaehlingHans-Dirk DüngenJochen SpringerStefan D AnkerWolfram DöhnerNadja JauertPublished in: Journal of cardiovascular development and disease (2022)
(1) Background: Insulin resistance (IR) is a characteristic pathophysiologic feature in heart failure (HF). We tested the hypothesis that skeletal muscle metabolism is differently impaired in patients with reduced (HFrEF) vs. preserved (HFpEF) ejection fraction. (2) Methods: carbohydrate and lipid metabolism was studied in situ by intramuscular microdialysis in patients with HFrEF (59 ± 14y, NYHA I-III) and HFpEF (65 ± 10y, NYHA I-II) vs. healthy subjects of similar age during the oral glucose load (oGL); (3) Results: There were no difference in fasting serum and interstitial parameters between the groups. Blood and dialysate glucose increased significantly in HFpEF vs. HFrEF and controls upon oGT (both p < 0.0001), while insulin increased significantly in HFrEF vs. HFpEF and controls ( p < 0.0005). Muscle tissue perfusion tended to be lower in HFrEF vs. HFpEF and controls after the oGL ( p = 0.057). There were no differences in postprandial increases in dialysate lactate and pyruvate. Postprandial dialysate glycerol was higher in HFpEF vs. HFrEF and controls upon oGL ( p = 0.0016); (4) Conclusion: A pattern of muscle glucose metabolism is distinctly different in patients with HFrEF vs. HFpEF. While postprandial IR was characterized by impaired tissue perfusion and higher compensatory insulin secretion in HFrEF, reduced muscle glucose uptake and a blunted antilipolytic effect of insulin were found in HFpEF.
Keyphrases
- ejection fraction
- skeletal muscle
- blood glucose
- insulin resistance
- aortic stenosis
- glycemic control
- type diabetes
- heart failure
- peritoneal dialysis
- metabolic syndrome
- magnetic resonance imaging
- blood pressure
- adipose tissue
- machine learning
- high fat diet
- computed tomography
- magnetic resonance
- polycystic ovary syndrome
- high glucose
- transcatheter aortic valve replacement
- oxidative stress
- endothelial cells
- diabetic rats