ABSTRACT
Objective:To observe the effect of Jiuwei Chushi Decoction on sex hormone level of serum and Kisspeptin protein expression in hypothalamus of Central Precocious Puberty (CPP) rats model.Methods:After sixty female rat were breeded from SD rats, they are randomly divided into six groups, which are normal control group, model group, Gonadorelin group, and high, medium and low dose group of Jiuwei Chushi Decoction, 10 in each group. In addition to the normal control group, the other groups were subcutaneously injected with N-methyl-DL-aspartic acid to establish CPP model. Gonadorelin group was subcutaneously injected with Gonadorelin 100 μg/(kg·d), and high, medium and low dose group of Jiuwei Chushi Decoction were intragastrated with Jiuwei Chushi Decoction extract at 5.75, 2.87 and 1.43 ml/(kg·d) respectively. The levels of Luteinizing Hormone (LH), Follicle Stimulating Hormone (FSH),Estradiol (E 2) were detected by ELISA, and the protein expressions of Gonadotropin-releasing Hormone (GnRH) and Kisspeptin in hypothalamus were detected by Western Blot. Results:Compared with the model group, the levels of LH and E 2 of the low, medium and high dose group of Jiuwei Chushi Decoction were significantly decreased ( P<0.05), while the FSH level was significantly increased ( P<0.05). The relative protein expression of GnRH (0.657±0.110, 0.536±0.152 vs. 0.912±0.219) and Kisspeptin (0.508±0.035,0.347±0.073 vs. 0.659±0.030) in the medium and high dose group of Jiuwei Chushi Decoction was lower than that of model group. Conclusion:Jiuwei Chushi Decoction could affect hypothalamic Kisspeptin protein expression, inhibite hypothalamic GnRH expression, and decrease LH and E 2 levels in the serum of CPP rats.
ABSTRACT
Pediatric cough is a heterogeneous condition in terms of symptoms and the underlying disease mechanisms. Symptom phenotypes hold complicated interactions between each other to form an intricate network structure. This study aims to investigate whether the network structure of pediatric cough symptoms is associated with the prognosis and outcome of patients. A total of 384 cases were derived from the electronic medical records of a highly experienced traditional Chinese medicine (TCM) physician. The data were divided into two groups according to the therapeutic effect, namely, an invalid group (group A with 40 cases of poor efficacy) and a valid group (group B with 344 cases of good efficacy). Several well-established analysis methods, namely, statistical test, correlation analysis, and complex network analysis, were used to analyze the data. This study reports that symptom networks of patients with pediatric cough are related to the effectiveness of treatment: a dense network of symptoms is associated with great difficulty in treatment. Interventions with the most different symptoms in the symptom network may have improved therapeutic effects.