Results 211 to 220 of about 199,564 (290)
Abstract Background and aims The heart is a metabolic organ rich in mitochondria. The failing heart reprograms to utilize different energy substrates, which increase its oxygen consumption. These adaptive changes contribute to increased oxidative stress.
Qinghong Li +12 more
wiley +1 more source
Modeling Ischemia-Reperfusion Injury in Stroke Using the BBB Chip. [PDF]
Wu Y +5 more
europepmc +1 more source
Effects of SGLTi on Individual Clinical Endpoints and Quality‐of‐Life: outcome from randomized data. Abstract Aims Sodium–glucose co‐transporter inhibitors (SGLTis) have cardiovascular protective effects. We aimed to assess the effects of SGLTis on individual hard clinical endpoints and quality of life (QoL) in patients with cardiovascular risk factors.
Jia Liao +27 more
wiley +1 more source
Cardiac Ischaemia-Reperfusion Injury: Pathophysiology, Therapeutic Targets and Future Interventions. [PDF]
Alsadder L, Hamadah A.
europepmc +1 more source
Abstract Aims Mortality in cardiogenic shock (CS) remains elevated, with the potential for CS causes to impact prognosis and risk stratification. The aim was to investigate in‐hospital prognosis and mortality in CS patients according to aetiology. We also assessed the prognostic accuracy of CardShock and IABP‐SHOCK II scores.
Cosme García‐García +17 more
wiley +1 more source
Identification and experimental validation of biomarkers associated with macrophages in myocardial ischemia-reperfusion injury. [PDF]
Jiang X, Liu L, Huang J, Gao H.
europepmc +1 more source
Dapagliflozin alleviates high‐fat‐induced obesity cardiomyopathy by inhibiting ferroptosis
Abstract Aim: Dapagliflozin (Dapa) is a novel hypoglycaemic agent with multiple cardiovascular protective effects, and it is widely used in treatment of heart failure patients, but whether it can improve obese phenotype of heart failure and its mechanism is still unclear.
Di Chen +7 more
wiley +1 more source
Elucidating multifaceted targets of Marein in cerebral ischemia-reperfusion injury. [PDF]
Luo W +15 more
europepmc +1 more source
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo +11 more
wiley +1 more source

