Objective: To explore the interaction of low-dosage aspirin combined with angiotensin-converting enzyme (ACE) inhibitors by prostacyclin (PGI2), thromboxone A2 (TXA2) and norepinephrine (NE)) levels in rabbits' blood.
Methods: Forty healthy New Zealand rabbits were divided into four groups. Blood samples were drawn from the rabbits' heart before and after a consecutive four-week. NE was measured by high performance liquid chromatography, and PGI2 and TXA2 were measured by radioimmunoassay.
Results: ACE inhibitors increased PGI2 levels (P < 0.05, P < 0.01); low-dosage aspirin suppressed TXA2 productions (P < 0.05, P < 0.01) after the four-week administration. Aspirin combined with ACE inhibitors led to a significant increase in PGI2/TXA2(P < 0.01), together with a significant decrease in NE levels in the rabbits' blood (P < 0.001).
Conclusion: Neither low-dosage aspirin nor ACE inhibitors influence NE levels alone. The ratio of PGI2 to TXA2 increased, and NE levels decreased significantly during the administration of aspirin combined with ACE inhibitors. The results suggest that there is a synergis-action between low-dosage aspirin and ACE inhibitors due to increased PGI2/TXA2 and decreased NE levels.
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Turk J Med Sci
December 2024
Deputy Health Minister, Ministry of Health, Ankara, Turkiye.
Background/aim: Effective management of heart failure involves evidence-based use of multiple medications and their combinations. Furthermore, dosage escalation of the recommended medications is advised. In cases of advanced heart failure, long-term mechanical assistance devices or heart transplantation surgery may be necessary.
View Article and Find Full Text PDFSci Rep
December 2024
Division of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Pok Fu Lam, Hong Kong, China.
COVID-19 can increase the long-term risk of multiorgan dysfunction. Few studies investigated the long-term risk in Asian populations or investigated the association between viral load and long-term risk. We aimed to investigate the post-discharge rates of hospitalization and association with baseline viral load in all patients with COVID-19 in Hong Kong.
View Article and Find Full Text PDFOsteoporos Int
December 2024
Department of Cardiology, Chi-Mei Medical Center, Tainan, Taiwan.
Unlabelled: This study examined the impact of thiazide and RAAS antihypertensive medications vs DHP-RAAS medications on fracture risk. The close alignment of such settings with clinical use, combined with the potential bone benefits of ACEis and ARBs, provides enhanced accuracy in bone health evidence.
Purpose: To determine whether thiazides, combined with either angiotensin-converting enzyme inhibitor (ACEi) or angiotensin II receptor blocker (ARB), offer bone-protective benefits compared with dihydropyridine (DHP) drugs combined with ACEi or ARB.
In Silico Pharmacol
December 2024
Department of Chemistry, Sidho-Kanho-Birsha University, Purulia, 723104 India.
Unlabelled: Among different anti-hypertensive drugs, calcium channel blockers and human angiotensin-converting enzyme (ACE) inhibitors are the two main types. Herein, we took 25 biologically active ligands with potent anti-hypertensive activities and performed molecular docking studies with the human ACE receptor (PDB ID 1O8A) and human leukocyte antigens (HLA) complex, human voltage-dependent calcium channel alpha1 subunit (PDB ID 3LV3). Beforehand, we had performed density functional theory (DFT) studies to find out their structure-property relationships.
View Article and Find Full Text PDFFront Neurol
December 2024
Department of Neurosurgery, The Huadu District People's Hospital of Guangzhou, Guangzhou, Guangdong, China.
Aim: This study aimed to evaluate the association between serum calcium level and the risk of acute kidney injury (AKI) in patients with subarachnoid hemorrhage (SAH).
Methods: In this retrospective cohort study, data on adults from the Medical Information Mart for Intensive Care (MIMIC-III and MIMIC-IV) databases, spanning from 2008 to 2019, were extracted. In the logistic regression models, confounding variables, including age, white blood cell (WBC), systolic blood pressure (SBP), heart rate, blood urea nitrogen (BUN), glucose, international normalized ratio (INR), and the Charlson Comorbidity Index (CCI), were finally adjusted by stepwise regression.
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