Two methods for modeling of sick sinus syndrome in rats: Ischemia reperfusion and sodium hydroxide induced injury
Autor: | Baochen Zhu, Wei-Liang Weng, Jianxun Ren, Wantong Zhang, Fang Lu, Rui Gao, Yi Qi |
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Rok vydání: | 2019 |
Předmět: |
Male
0301 basic medicine Heart disease Ischemia RM1-950 Propranolol Sick sinus syndrome Rats Sprague-Dawley 03 medical and health sciences chemistry.chemical_compound Sodium hydroxide injury 0302 clinical medicine Heart Rate medicine Animals Sodium Hydroxide Model establishment Internal jugular vein Sick Sinus Syndrome Pharmacology Sinoatrial node business.industry General Medicine medicine.disease Rats SSS Disease Models Animal 030104 developmental biology medicine.anatomical_structure chemistry Sodium hydroxide Reperfusion Injury 030220 oncology & carcinogenesis Anesthesia Therapeutics. Pharmacology business Ischemia reperfusion injury medicine.drug |
Zdroj: | Biomedicine & Pharmacotherapy, Vol 111, Iss, Pp 778-784 (2019) |
ISSN: | 0753-3322 |
DOI: | 10.1016/j.biopha.2018.11.091 |
Popis: | The Sick Sinus Syndrome (SSS) is a serious life-threatening heart disease. It is important to establish a credible and stable sinus node damage model. In this study, we use two methods to construct an SSS damage model in rats. One is to inject sodium hydroxide to the SSS area through internal jugular vein. Another is to cause ischemia-reperfusion injury on the SSS area. 43 healthy SD rats were randomly divided into 4 groups, namely ischemia-reperfusion injury group (IRIG), inject sodium hydroxide group (ISHG), and propranolol group (PG) and the control group (CG). The achievement ratio of modeling was 67% in the IRIG and 83% in the ISHG. The HR significantly decreased after operation in the IRIG and ISHG compared with pre-operation (P<0.01). The HR was reduced by above 30% in these 2 groups after modeling, while the reduction was better maintained in IRIG. Additionally, the sinoatrial node recovery time (SNRT) and sinoatrial conduction time (SACT) were significantly prolonged compared with pre-modeling in 2 groups (P |
Databáze: | OpenAIRE |
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