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Journal of Chinese Integrative Medicine ›› 2009, Vol. 7 ›› Issue (6): 541-545.doi: 10.3736/jcim20090609

• Original Experimental Research • Previous Articles     Next Articles

Anti-inflammatory effects and quantitative study of the combinations of active ingredients of Painong powder in mice

 Jun-chao Chen, Lu-jin Li, Shi-mei Wen, Ying-chun He, Hong-xia Liu, Qing-shan Zheng   

  1. Center for Drug of Clinical Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
  • Received:2008-12-22 Accepted:2009-03-31 Online:2009-06-20 Published:2009-06-15

Objective

To study the anti-inflammatory effects of the combinations of active components of Painong powder, a compound traditional Chinese herbal medicine, and the quantitative analysis of their interactions.
Methods

The mouse model of acute inflammation with increase of capillary permeability was induced by intraperitoneal injection of acetic acid. An orthogonal design with 2 levels (used and unused) was applied to assign the combinations groups of active ingredients including naringin and neohesperidin, peoniflorin, and platycodin. Aspirin and normal saline were administered as control. The pharmacodynamic interactions were analyzed by the optical density (OD) of infiltrated Evans blue.
Results

The different combinations of active ingredients showed anti-inflammatory effect with different degree, and the predicted values of OD varied from 0.115 to 0.170. The maximum anti-inflammatory effect was from the combination of naringin, neohesperidin, paeoniflorin and platycodin, better than that of the saline group (P<0.01). However, there was no significant difference as compared with the aspirin group (P>0.05). Paeoniflorin showed a dominant contribution to the formula, and platycodin the least. The combination of all active components exhibited synergism.
Conclusion

The results suggest that all the ingredients are efficacious constituents of the formula, and paeoniflorin shows a dominant contribution to the formula. More information about prescription compatibility can be obtained by the orthogonal simulation method.

Key words: Painong powder, Active ingredient, Compatibility (traditional Chinese drug), Drug interactions

Table 1

Two levels of active components in the orthogonal design(mg/kg)"

Factor A: Paeoniflorin B: Naringin+neohesperidin C: Platycodin
1 70 490+35 90
2 0 0 0

Table 2

Effects of different combinations on capillary permeability(x±s)"

Group ABC n OD value
1 +++ 10 0.115±0.037**
2 ++– 10 0.119±0.032**
3 +–– 10 0.129±0.044**
4 +–+ 10 0.158±0.056**
5 –++ 10 0.153±0.036**
6 –+– 10 0.160±0.051**
7 ––+ 10 0.170±0.042**
8 ––– 10 0.240±0.060
9 Aspirin 10 0.106±0.026**

Table 3

Pharmacodynamic parameters of combination"

Parameter Value RSE Note
Ebase 0.240 0.079 Baseline of response
ED (A) –0.051 0.214 Response of paeoniflorin
ED (B) –0.038 0.289 Response of naringin and neohesperidin
ED (C) –0.013 0.841 Response of platycodin
Emax 0.115 0.079 Maximum predicted response
Emin 0.170 0.064 Minimum predicted response
Ecut –0.024 Critical value of effective
combination
σ 0.043 Errors from calculation
and experiment

Table 4

Relationship of NEB and the results of the two one-side t test"

A B C
ED –0.051 –0.038 –0.013
90% CI (%) 62-82 68-89 81-103
NEB (%) 90-110 90-110 90-110
Conclusion P P P

Table 5

Characteristics of drug interactions and their responses (Eint)"

Combination scheme Eint RSE Q value Interaction
ABC 0.136 0.086 6.4 Synergism
AB 0.069 0.147 –1.4 Antagonism
AC 0.099 0.179 –1.7 Antagonism
BC 0.063 0.179 –0.7 Antagonism

Table 6

Prediction of OD value in different combinations of the active ingredients"

Combination scheme n Predicted OD value Observed OD value PE (%) Note
ABC 10 0.115 Emax
C 10 0.170 Emin
ABC 10 0.115 0.115 0 Group 1
AB 10 0.126 0.119 6.6 Group 2
A 10 0.129 0.129 0 Group 3
AC 10 0.136 0.158 14.1 Group 4
BC 10 0.167 0.153 9.5 Group 5
B 10 0.160 0.160 0 Group 6
C 10 0.170 0.170 0 Group 7

Figure 1

Scatter plot of the fit goodness of simulation (PE1) and the dispersion of observed responses (PE2) It is perfect when all points located into Evaluation Window (dashed). (A) 76% points of 7 experimental groups (n=10 for each group) were located into the Evaluation Window. The result suggested the reliability of the model. (B) Enlarged the sample size to 700 (n=100 for each group) by Monte Carlo simulation, 567 of 700 points (81%) were located into the Evaluation Window. It revealed the stability of the model."

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