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Traditional Medicine Research  2018, Vol. 3 Issue (5): 251-257    DOI: 10.12032/TMR201813084
Ethnic and Regional Medicine     
Rat model for study of the essence of spleen deficiency and dampness in Chinese medicine
Xiao-Chun Han1, Xu-Ming Ji1, Lin Liu2, Shuang Zhang1, Li Sun1, Qiu-Jian Feng1, Shi-Jun Wang1,*()
1College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
2Department of Special Examination, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
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Highlights

Spleen deficiency is often accompanied by dampness. Cytokines, immunoglobulins, and gastrointestinal hormones play major roles in the pathogenesis of spleen deficiency and dampness.

Editor’s Summary

The two TCM syndromes “spleen deficiency” and “dampness” were cause and effect to each other.

Abstract

Objective: To explore the essence of spleen deficiency and dampness in Chinese medicine by successfully constructing a rat model with this syndrome. Methods: Rat models with the syndrome of dampness and spleen deficiency were established with the use of a high-fat, low-protein diet and excessive fatigue induced by loaded swimming. A total of 25 common clinical serological markers were tested. The T test, rank test, and partial least squares regression-discriminant analysis were used to analyze the data. Results: Total protein, albumin, motilin, interferon-γ, interleukin-2, immunoglobulin A, immunoglobulin G, and complement 3 levels in the model rats were lower than those in the control group (P = 0.029, P = 0.032, P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.001, respectively). The serum creatinine, total cholesterol, aldosterone, antidiuretic hormone, gastrin, interleukin-4, somatostatin, atrial natriuretic peptide, and vasoactive intestinal peptide levels in the model group were higher than those in the control group (P < 0.001, P = 0.015, P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.001, respectively). There was no statistical difference between the two groups in aspartate transaminase, alanine aminotransferase, globulin, albumin/globulin, blood urea nitrogen, high-density lipoprotein, and low-density lipoprotein. The model animal syndrome used two important variables in analysis with partial least squares regression-discriminant analysis. At the same time, the two dimensions were difficult to distinguish for each biological index. Conclusion: Spleen deficiency is often associated with dampness. The index that represents spleen deficiency can also represent dampness. Cytokines, immunoglobulins, and gastrointestinal hormones play a major causative role in both spleen deficiency and dampness.



Key wordsSpleen deficiency      Dampness      Animal model     
Published: 04 September 2018
Fund:  National Natural Science Foundation of China (NO.81703838);National Key Basic Research and Development Program (973 Program) funded project, spleen and dampness of traditional Chinese medicine drug research (NO.2013CB531803);Shandong Province, Chinese medicine science and technology development project, project number: 2015-008;Shandong Province, Chinese medicine science and technology development project, project number: 2017-027.
Corresponding Authors: Wang Shi-Jun     E-mail: pathology@163.com
Cite this article:

Xiao-Chun Han, Xu-Ming Ji, Lin Liu, Shuang Zhang, Li Sun, Qiu-Jian Feng, Shi-Jun Wang. Rat model for study of the essence of spleen deficiency and dampness in Chinese medicine. Traditional Medicine Research, 2018, 3(5): 251-257. doi: 10.12032/TMR201813084

URL:

https://www.tmrjournals.com/tmr/EN/10.12032/TMR201813084     OR     https://www.tmrjournals.com/tmr/EN/Y2018/V3/I5/251

Figure 1 The appearance comparison of model group and control group
Biological parameters Control group Model group t P
Weight 340.90 ± 56.63 257.35 ± 44.65 3.833 0.001
ALT 40.88 ± 20.52 46.29 ± 18.24 -0.640 0.529
AST 129.50 ± 37.97 118.14 ± 47.60 0.576 0.571
AST/ALT 3.43 ± 0.97 2.63 ± 1.20 1.602 0.125
TP 59.50 ± 3.62 54.36 ± 5.49 2.356 0.029
AP 29.91 ± 1.66 26.79 ± 3.59 2.303 0.032
GP 29.59 ± 3.42 28.21 ± 3.39 0.909 0.378
AP/GP 1.03 ± 0.16 0.94 ± 0.10 1.490 0.152
BUN 5.25 ± 1.23 4.53 ± 1.94 0.945 0.356
SCr 20.50 ± 2.45 27.50 ± 5.32 -4.206 < 0.001
TG 0.38 ± 0.11 0.56 ± 0.26 -2.328 0.031
TC 1.94 ± 0.27 2.41 ± 0.45 -2.656 0.015
HDL 0.66 ± 0.09 0.67 ± 0.17 -0.019 0.985
LDL 0.27 ± 0.08 0.41 ± 0.25 -1.466 0.158
ALD 188.18 ± 19.80 371.22 ± 31.69 -14.696 < 0.001
ADH 4.10 ± 0.55 8.41 ± 0.63 -16.092 < 0.001
GAS 96.23 ± 12.39 196.30 ± 15.52 -15.569 < 0.001
MTL 221.77 ± 16.30 128.14 ± 19.63 11.400 < 0.001
IFN-γ 69.83 ± 5.49 35.57 ± 6.79 12.146 < 0.001
IL-2 914.69 ± 75.90 397.45 ± 86.15 14.111 < 0.001
IL-4 38.35 ± 4.91 79.70 ± 5.91 -16.725 < 0.001
IgA 218.38 ± 22.66 107.46 ± 18.55 12.461 < 0.001
IgG 8.89 ± 0.98 4.38 ± 0.69 12.745 < 0.001
C3 532.65 ± 57.02 212.88 ± 47.62 14.118 < 0.001
SS 35.36 ± 3.98 77.38 ± 7.84 -14.065 < 0.001
ANP 0.18 ± 0.02 0.29 ± 0.02 -15.342 < 0.001
VIP 93.57 ± 8.90 164.93 ± 11.76 -15.517 < 0.001
Table 1 The comparison of biological parameters between the model group and the control group
Figure 2 The VIP of PLS-DA analysis between the model group and the control group
Principal component Eigenvalues % of R2X Cumulative R2X % of R2Y Cumulative R2Y
1 12.10 52.40 52.40 96.30 96.30
2 2.26 9.84 62.24 1.82 98.12
Table 2 PLS-DA analysis of the related indicators between the model group and the control group
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