实验动物科学 ›› 2023, Vol. 40 ›› Issue (6): 67-72.DOI: 10. 3969 / j. issn. 1006-6179. 2023. 06. 012

• 论著 • 上一篇    下一篇

不同周期的高脂血症大鼠模型的相关指标变化分析

  

  1. ( 1. 中国中医科学院中药研究所,北京 100700) ( 2. 四川大学华西医院干细胞与组织工程研究室,成都 610041)
  • 收稿日期:2022-07-28 出版日期:2023-12-28 发布日期:2024-01-08
  • 通讯作者: 宁良菊( 1985—) ,女,副研究员,研究方向:生物医学工程. E-mail:nlj1024@ 163. com
  • 作者简介:侯红平( 1988—) ,女,副研究员,研究方向:慢性疾病的机制及新药研发. E-mail:hphou@ icmm. ac. cn 张广平( 1975—) ,男,研究员,研究方向:中药药理毒理. E-mail:gpzhang@ icmm. ac. cn
  • 基金资助:
    中央级公益性科研院所基本科研业务费专项基金( ZZ13-YQ-060;ZXKT21020)

Analysis on Changes of Related Indexes in Different Periods of Hyperlipidemia of Rat Model

  1. ( 1. Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China)
    ( 2. Laboratory of Stem Cell and Tissue Engineering, West China Hospital, Sichuan University, Chengdu 610041, China)
  • Received:2022-07-28 Online:2023-12-28 Published:2024-01-08

摘要: 目的 探讨不同周期的高脂血症大鼠模型的血脂水平及氧化应激水平,科学地分析其变化规律。 方法 SD大鼠随机分为对照组(正常饮食饮水) 和处理组( 正常饮水,给予高脂饲料喂养:基础饲料 + 15% 猪油 + 20% 蔗糖 +1. 2% 胆固醇+0. 2%胆酸钠) ,两个组别在分为 0、15、30、60 和 90 d 5 个小组,观察记录动物的一般状态,在不同的时间节点处理动物,取血清、检测血脂水平和氧化应激水平,肝称重,计算肝系数,部分肝置于 4% 多聚甲醛中,进行HE 组织病理学染色,部分肝组织匀浆,检测血脂水平。 结果 模型组动物被毛暗淡无光泽,出现脱毛、行动迟缓的状态;体质量自 15 d 增长较为明显,肝系数自 30 d 开始明显增加,与对照组相比,差异具有统计学意义( P<0. 05) ;模型组 30 d 和 60 d 血清中 TG 和 CHO 明显的升高,差异具有统计学意义(P<0. 05) ,但 90 d 的 TG 与对照组相比,差异并无统计学意义;处理组自 15 d 开始血清中 MDA 升高,SOD 明显降低,差异具有统计学意义( P < 0. 05) ;TAOC 自 30 d 开始明显降低,差异具有统计学意义(P<0. 05) 。 处理组动物的肝组织自 15 d 开始,淋巴细胞聚集,肝细胞肿胀变性,细胞核挤向一侧,直到 90 d 肝索排列紊乱,肝细胞肿胀,发生脂肪变性,胞质内有大小不等的空泡肝血窦受压变形等病理改变。 结论 高脂血症动物模型成模率较高,但在药物预防和治疗作用的研究与分析中,应考虑到代谢的变化和周期的长短,除了血清指标外,建议增加组织和其他代谢酶活性的检测指标,更科学地分析药物的作用。

关键词: 高脂血症, 动物模型, 不同周期, 血脂水平, 氧化应激

Abstract: Objective To explore the level of blood lipid and oxidative stress in different periods of hyperlipemia of rat model, and to scientifically analyze its changing regularity. Method SD rats were randomly divided into control group ( normal diet and drinking water ) and treatment group ( normal drinking water, high-fat feed: basic feed +15% lard +20% sucrose +1. 2% cholesterol +0. 2% sodium cholate) . Each group was divided into five sub-groups: 0, 15, 30, 60 and 90 d. The general state of animals was observed and recorded. Animals were treated at different time, serum was taken, blood lipid level and oxidative stress level were detected, liver was weighed, liver coefficient was calculated, some livers were placed in 4% paraformaldehyde, HE histopathological staining was performed, some livers were homogenized, and blood lipid level was detected. Result In the treatment group, the fur of the animals was dull, and there were depilation and slow movement. The weight increased significantly from 15 d, and the liver coefficient increased significantly from 30 d. Compared with the control group, the difference was statistically significant ( P < 0. 05 ) . TG and CHO in serum of treatment group were increased significantly on 30 d and 60 d, and the difference was statistically significant (P<0. 05) , but the difference of TG on 90 d was not statistically significant compared with that of control group. From the 15 d of treatment group, MDA in serum increased and SOD decreased significantly, and the difference was statistically significant ( P < 0. 05 ) . T-AOC decreased significantly from the 30th day, and the difference was statistically significant (P<0. 05) . From the 15 d, lymphocytes were gathered, liver cells were swelled and degenerated, nuclei were squeezed to one side. Until the 90 d, liver cords were disordered, liver cells were swelled, fatty degeneration occurred, and vacuoles with different sizes in cytoplasm were compressed and deformed. Conclusion The modeling rate of hyperlipemia animal model was high, but in the research and analysis of drug prevention and treatment, the change of metabolism and the length of time should be considered. Besides serum indexes, it was suggested to increase the detection indexes of tissue and other metabolic enzyme activities, so as to analyze the effects of drugs more scientifically.

Key words: hyperlipidemia, animal model, different periods, blood lipid level, oxidative stress

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