Rat Model for Venous Thromboembolism (VTE) Rattus norvegicus (Rat) Disease model

VTE

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Overview
Properties
  • Prototype SpeciesHuman
  • SourceDeep Venous Thromboembolism induce PE
  • Model Animal StrainsSD Rats(SPF class), healthy, male, body weight 180g~200g
  • Modeling GroupingRandomly divided into six group: Control group, Model group, Positive drug group and Test drug group (three doses)
  • Modeling Period1~14d
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  • Rat Model for Venous Thromboembolism (VTE) Packages (Simulation)
  • Rat Model for Venous Thromboembolism (VTE) Packages (Simulation)
  • DSI539Ra01.png DVT modeling,rat lung density is significantly higher than that of the control group
  • Rat Model for Venous Thromboembolism (VTE) Fig. Formation of thrombosis on the inferior vena cava after modeling
  • Certificate ISO9001: 2008, ISO13485: 2003 Registered

Modeling Method

1. Fasting for one night before the operation, free drinking water.
2. Weight the rats and anesthetized by intraperitoneal injection of chloral hydrate (15%) 350mg/kg, shaving and use iodine and alcohol to wipe operation area.
3. Cut the abdominal cavity,from the linea alba abdominis, blunt separation of inferior vena cava, with 5-0 suture in renal vein beneath the ligation of the inferior vena cava and the main branch, then 5-0 suture inner, 3-0 suture outer, rats are placed on a heating pad maintain rectal temperature in 37 ±0.5℃.
4. Free drinking water, normal feeding after the rats wake up.

Model evaluation

1. Lower limb swelling observation: 1d after operation, observe whether the swelling of the lower limbs of rats.
2. 7d after operation, the lungs are detected by Micro CT to observe the occurrence and severity of pulmonary embolism.
The DVT modeling,rat lung density is significantly higher than that of the control group, suggesting that DVT rat lungs exist significant edema, thrombosis.

Pathological results

Cytokines level

The expression of vWF, ICAM-1 and other cytokines in serum is significantly increased, which could be detected by ELISA method.

Statistical analysis

SPSS software is used for statistical analysis, measurement data to mean ± standard deviation (x ±ｓ), using t test and single factor analysis of variance for group comparison , P<0.05 indicates there was a significant difference, P<0.01 indicates there are very significant differences.

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