Study on the medication rules of traditional Chinese medicine prescription and the mechanism of core prescription for hyperprolactinemia based on text mining and bioinformatics methods
|更新时间:2022-07-10
|
Study on the medication rules of traditional Chinese medicine prescription and the mechanism of core prescription for hyperprolactinemia based on text mining and bioinformatics methods
Shanghai Journal of Traditional Chinese MedicineVol. 56, Issue 2, Pages: 10-17(2022)
XU Jiahui,CHEN Qingguang,HAN Xu,et al.Study on the medication rules of traditional Chinese medicine prescription and the mechanism of core prescription for hyperprolactinemia based on text mining and bioinformatics methods[J].Shanghai Journal of Traditional Chinese Medicine,2022,56(02):10-17.
XU Jiahui,CHEN Qingguang,HAN Xu,et al.Study on the medication rules of traditional Chinese medicine prescription and the mechanism of core prescription for hyperprolactinemia based on text mining and bioinformatics methods[J].Shanghai Journal of Traditional Chinese Medicine,2022,56(02):10-17. DOI: 10.16305/j.1007-1334.2022.2005003.
Study on the medication rules of traditional Chinese medicine prescription and the mechanism of core prescription for hyperprolactinemia based on text mining and bioinformatics methods
Objective,2,To explore the medication rules of traditional Chinese medicine (TCM) prescriptions for hyperprolactinemia (HPRL), extract the core prescriptions, and preliminarily seek the relevant mechanisms based on text mining and bioinformatics methods, in order to guide the clinical treatment.,Methods,2,The literatures of TCM cases and clinical research on the treatment of HPRL were searched from China National Knowledge Infrastructure (CNKI), WanFang Database (WangFang) and VIP Database (VIP). The TCM syndrome types of HPRL, the nature, flavor and channel tropism of medicines, the rules of prescription and dosage and the prescription characteristics were analyzed, and the core herbs and prescriptions were mined through TCM Inheritance Auxiliary Platform. The effective targets and mechanisms of core prescriptions were analyzed by bioinformatics methods.,Results,2,A total of 75 cases with complete prescriptions were screened and input involving 75 relevant prescriptions and 147 Chinese medicinal herbs. The main TCM syndrome of HPRL was liver stagnation and kidney deficiency syndrome, the nature and flavor of the Chinese medicinal herbs were mostly warm, flat, sweet, bitter and spicy, and the Chinese medicinal herbs mainly belonged to the liver, spleen and kidney channels. The dosage of raw barley germinating fruit in treating HPRL was mostly 60 g. The high-frequency Chinese medicinal herbs included root of common peony, root of Chinese angelica, root of Chinese thorowax, raw barley germinating fruit, Indian bread, root of ural licorice and so on, and 40 relevant herb groups were obtained. The extracted core prescription was modified Xiaoyaosan Decoction, and could be used to treat HPRL through 28 target proteins involving 928 biological processes and 36 signaling pathways. The key therapeutic effects were closely related to the PI3K-Akt signaling pathway, JAK-STAT signaling pathway, VEGF signaling pathway, Th17 cell differentiation signaling pathway, and dopaminergic neurosynaptic conduction pathway.,Conclusion,2,The therapeutic method of TCM on HPRL is mainly soothing liver, strengthening spleen and nourishing kidney, which could be summarized as the regulation of three internal organs. The nature and flavour of herbs is sweet, warm and mild. The core prescription is based on Xiaoyaosan Decoction, and the analysis of bioinformatics method shows that each herb in the core prescription can effectively act on HPRL, which has potential guidance value for TCM in treating HPRL.
关键词
高催乳素血症乳泣逍遥散文本挖掘中药研究生物信息
Keywords
hyperprolactinemialactorrheaXiaoyaosan Decoctiontext miningtraditional Chinese herbal medicine researchbiological information
HU Y, XIN H L, ZHANG Q Y, et al. Anti-nociceptive and anti-hyperprolactinemia activities of Fructus Viticis and its effective fractions and chemical constituents[J]. Phytomedicine, 2007, 14(10): 668-674.
LIU X, KANO M, ARAKI T, et al. ErbB receptor-driven prolactinomas respond to targeted lapatinib treatment in female transgenic mice[J]. Endocrinology, 2015, 156(1): 71-79.
CORLAN A S, CIMPEAN A M, MELNIC E, et al. VEGF, VEGF165b and EG-VEGF expression is specifically related with hormone profile in pituitary adenomas[J]. Eur J Histochem, 2019, 63(1): 3010.
MCAVENEY K M, BOOK M L, LING P, et al. Association of 2',5'-oligoadenylate synthetase with the prolactin (PRL) receptor: alteration in PRL-inducible stat1 (signal transducer and activator of transcription 1) signaling to the IRF-1 (interferon-regulatory factor 1) promoter[J]. Mol Endocrinol, 2000, 14(2): 295-306.
DO A V, CARVALHO K C, MACIEL G A, et al. The progesterone and estrogen modify the uterine prolactin and prolactin receptor expression of hyperprolactinemic mice[J]. Gynecol Endocrinol, 2015, 31(2): 148-151.
O'HARA L, CURLEY M, FERREIRA M T, et al. Pituitary androgen receptor signalling regulates prolactin but not gonadotrophins in the male mouse[J]. PLoS One, 2015, 10(3): e121657.
PASCUAL-MATHEY L I, ROJAS-DURAN F, ARANDA-ABREU G E, et al. Effect of hyperprolactinemia on PRL-receptor expression and activation of Stat and Mapk cell signaling in the prostate of long-term sexually-active rats[J]. Physiol Behav, 2016(157): 170-177.
GORVIN C M. The prolactin receptor: Diverse and emerging roles in pathophysiology[J]. J Clin Transl Endocrinol, 2015, 2(3): 85-91.
DWORAKOWSKA D, WLODEK E, LEONTIOU C A, et al. Activation of RAF/MEK/ERK and PI3K/AKT/mTOR pathways in pituitary adenomas and their effects on downstream effectors[J]. Endocr Relat Cancer, 2009, 16(4): 1329-1338.
ONOFRI C, THEODOROPOULOU M, LOSA M, et al. Localization of vascular endothelial growth factor (VEGF) receptors in normal and adenomatous pituitaries: detection of a non-endothelial function of VEGF in pituitary tumours[J]. J Endocrinol, 2006, 191(1): 249-261.