Endothelium-Derived Hyperpolarizing Factor (EDHF) Mediates Acetylsalicylic Acid (Aspirin) Vasodilation of Pregnant Rat Mesenteric Arteries.
Helga HelgadóttirTeresa TropeaSveinbjorn GizurarsonMaurizio MandalàPublished in: International journal of molecular sciences (2021)
Acetylsalicylic acid (aspirin) exhibits a broad range of activities, including analgesic, antipyretic, and antiplatelet properties. Recent clinical studies also recommend aspirin prophylaxis in women with a high risk of pre-eclampsia, a major complication of pregnancy characterized by hypertension. We investigated the effect of aspirin on mesenteric resistance arteries and found outdiscovered the molecular mechanism underlying this action. Aspirin (10-12-10-6 M) was tested on pregnant rat mesenteric resistance arteries by a pressurized arteriography. Aspirin was investigated in the presence of several inhibitors of: (a) nitric oxide synthase (L-NAME 2 × 10-4 M); (b) cyclooxygenase (Indomethacin, 10-5 M); (c) Ca2+-activated K+ channels (Kca): small conductance (SKca, Apamin, 10-7 M), intermediate conductance (IKca, TRAM34, 10-5 M), and big conductance (BKca, paxilline, 10-5 M); and (d) endothelial-derived hyperpolarizing factor (high KCl, 80 mM). Aspirin caused a concentration-dependent vasodilation. Aspirin-vasodilation was abolished by removal of endothelium or by high KCl. Furthermore, preincubation with either apamin plus TRAM-34 or paxillin significantly attenuated aspirin vasodilation (p < 0.05). For the first time, we showed that aspirin induced endothelium-dependent vasodilation in mesenteric resistance arteries through the endothelial-derived hyperpolarizing factor (EDHF) and calcium-activated potassium channels. By activating this molecular mechanism, aspirin may lower peripheral vascular resistance and be beneficial in pregnancies complicated by hypertension.
Keyphrases
- low dose
- cardiovascular events
- antiplatelet therapy
- nitric oxide
- anti inflammatory drugs
- blood pressure
- nitric oxide synthase
- percutaneous coronary intervention
- coronary artery disease
- type diabetes
- big data
- spinal cord
- artificial intelligence
- machine learning
- atomic force microscopy
- mass spectrometry
- atrial fibrillation
- high glucose
- protein kinase
- high speed