Apitherapy combination improvement of blood pressure, cardiovascular protection, and antioxidant and anti-inflammatory responses in dexamethasone model hypertensive rats.
Fatma El-Zahraa Abd El-HakamGomaa Abo LabanSahar Badr El-DinHala Abd El-HamidMohammed Hamdy FaroukPublished in: Scientific reports (2022)
Hypertension-induced ventricular and vascular remodeling causes myocardial infarction, heart failure, and sudden death. Most available pharmaceutical products used to treat hypertension lead to adverse effects on human health. Limited data is available on apitherapy (bee products) combinations for treatment of hypertension. This study aims to evaluate the antihypertensive effects of combinations of natural apitherapy compounds used in the medical sector to treat a variety of diseases. Rats were assigned into six groups consisting of one control group and five hypertensive groups where hypertension (blood pressure > 140/90) was induced with dexamethasone. One of these groups was used as a hypertension model, while the remaining four hypertensive groups were treated with a propolis, royal jelly, and bee venom combination (PRV) at daily oral doses of 0.5, 1.0, and 2.0 mg/kg, and with losartan 10 mg/kg. The PRV combination at all doses decreased arterial blood pressure below the suboptimal value (p < 0.001), and PRV combination treatment improved dexamethasone-induced-ECG changes. The same treatment decreased angiotensin-II, endothelin-1, and tumor growth factor β serum levels in hypertensive rats. Additionally, PRV combination improved histopathological structure, and decreased serum levels of NF-kB and oxidative stress biomarkers. We concluded that PRV combination therapy may be used as a potential treatment for a variety of cardiovascular diseases.
Keyphrases
- blood pressure
- hypertensive patients
- combination therapy
- heart failure
- heart rate
- angiotensin ii
- oxidative stress
- growth factor
- human health
- cardiovascular disease
- diabetic rats
- healthcare
- dna damage
- high glucose
- emergency department
- machine learning
- heart rate variability
- type diabetes
- immune response
- climate change
- coronary artery disease
- artificial intelligence
- atrial fibrillation
- adipose tissue
- deep learning
- replacement therapy
- electronic health record
- mesenchymal stem cells
- newly diagnosed
- skeletal muscle
- toll like receptor
- inflammatory response
- smoking cessation
- bone marrow
- pi k akt
- stress induced