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1.湖南中医药大学,长沙 410007
2.江西省中医肾病临床医学研究中心/九江市中医院,江西 九江 332001
傅奕,主治医师,从事中医药治疗肾病研究,E-mail:17707021828@163.com.
朱莹,教授,主任医师,博士生导师,从事中医内科工作,E-mail:zhuying089@126.com
收稿日期:2021-11-02,
网络出版日期:2022-01-25,
纸质出版日期:2022-03-20
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傅奕,李鑫,朱莹等.慢性肾功能衰竭用药规律及潜在机制分析[J].中国实验方剂学杂志,2022,28(06):151-158.
FU Yi,LI Xin,ZHU Ying,et al.Medication Regularity for Chronic Renal Failure and Underlying Mechanism Based on Data Mining, Network Pharmacology, and Molecular Docking[J].Chinese Journal of Experimental Traditional Medical Formulae,2022,28(06):151-158.
傅奕,李鑫,朱莹等.慢性肾功能衰竭用药规律及潜在机制分析[J].中国实验方剂学杂志,2022,28(06):151-158. DOI: 10.13422/j.cnki.syfjx.20220319.
FU Yi,LI Xin,ZHU Ying,et al.Medication Regularity for Chronic Renal Failure and Underlying Mechanism Based on Data Mining, Network Pharmacology, and Molecular Docking[J].Chinese Journal of Experimental Traditional Medical Formulae,2022,28(06):151-158. DOI: 10.13422/j.cnki.syfjx.20220319.
目的
2
阐释江西省名中医吴兆东主任医师治疗慢性肾功能衰竭的遣药组方规律,并探讨潜在新方组合的潜在作用机制。
方法
2
收集2019年7月至2021年7月吴兆东主任门诊处方,运用中医传承辅助平台(V2.5)进行数据挖掘,分析处方药物的用药频次、药物关联,并得出潜在中药新方组合。运用中药系统药理学数据库及分析平台(TCMSP)、STRING及京都基因与基因组百科全书(KEGG)对“新处方”中药物靶标间相互作用关系进行分析,并进行分子对接验证和实验验证。
结果
2
①共筛选出200首处方,包含217味中药,演化得到8个潜在新方组合:处方1苦杏仁-黄芪-桔梗-当归-土茯苓-炒白术;处方2防风-荆芥-地肤子-紫菀-薄荷;处方3苦杏仁-紫菀-桔梗-枇杷叶-炙麻黄;处方4紫苏梗-党参-黄连-太子参;处方5旱莲草-炙黄芪-贯众-金樱子-薏苡仁-女贞子;处方6泽兰-忍冬藤-络石藤-泽泻;处方7黄芩-水蛭-赤芍-枇杷叶-北沙参;处方8甘草-玄参-野菊花-土茯苓-六月雪。②筛选出潜在新处方组合(新方1)的主要化学成分有18种;③预测到新方1活性成分的作用靶标80个,映射后得出新方1治疗CRF37个潜在靶标[(如白细胞介素(IL)-6、血管内皮生长因子(VEGF)、半胱氨酸天冬氨酸蛋白水解酶(Caspase)-3、一氧化氮合酶(NOS)3、缺氧诱导因子(HIF)-1等];④中药-疾病靶标涉及的KEGG通路主要包括脂质和动脉粥样硬化、NF-
κ
B、Toll样受体、HIF1信号通路。⑤新方1显著降低CRF大鼠血清肌酐、尿素氮,提高肾组织NO、NOS3含量。
结论
2
新方1中药组合显示了多成分、多靶点的药物作用特点,其机制可能与其抑制肾纤维化、抗炎、改善肠道微生态、改善肾脏缺氧缺血有关。
Objective
2
To clarify the medication regularity of WU Zhao-dong,a famous chief physician in traditional Chinese medicine (TCM) of Jiangxi province, and investigate the potential mechanism of potential new prescriptions against chronic renal failure (CRF).
Method
2
The outpatient prescriptions of WU Zhao-dong from July 2019 to July 2021 were collected. Data mining was carried out by using the Traditional Chinese Medicine Inheritance Auxiliary Platform (V 2.5) to analyze the medication frequency and drug association and obtain potential new prescriptions. The interaction between drug targets in new prescriptions was analyzed by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),STRING,and Kyoto Encyclopedia of Genes and Genomes(KEGG), followed by verification by molecular docking and experiments.
Result
2
A total of 200 prescriptions were screened out, with 217 Chinese medicinal drugs involved, and eight new potential prescriptions were derived. To be specific, Prescription 1: Armeniacae Semen Amarum-Astragali Radix
-
Platycodonis Radix-Angelicae Sinensis Radix-Smilacis Glabrae Rhizoma
-
fried Atractylodis Macrocephalae Rhizoma, Prescription 2: Saposhnikoviae Radix-Schizonepetae Herba-Kochiae Fructus-Asteris Radix et Rhizoma-Menthae Haplocalycis Herba,Prescription 3:Armeniacae Semen Amarum-Asteris Radix et Rhizoma-Platycodonis Radix-Eriobotryae Folium-prepared Ephedrae Herba, Prescription 4:Perillae Caulis-Codonopsis Radix-Coptidis Rhizoma-Pseudostellariae Radix, Prescription 5:Ecliptae Herba-Astragali Radix Praeparata Cum Melle-Dryopteridis Crassirhizomatis Rhizoma-Rosae Laevigatae Fructus-Coicis Semen-Ligustri Lucidi Fructus, Prescription 6: Lycopi Herba-Lonice Raejaponicae Caulis-Trachelospermi Caulis et Folium-Alismatis Rhizoma, Prescription 7:Scutellariae Radix-Hirudo-Paeoniae Radix Rubra-Eriobotryae Folium-Glehniae Radix, Prescription 8:Glycyrrhizae Radix et Rhizoma-Scrophulariae Radix-Chrysanthemi Indici Flos-Smilacis Glabrae Rhizoma- Serissae Herba. In Prescription 1,18 main chemical components were screened out. Eighty targets of active components of Prescription 1 were predicted, and 37 potential targets for the treatment of CRF were obtained, including interleukin (IL)-6, vascular endothelial growth factor (VEGF), cysteinyl aspartate-specific protease-3 (Caspase-3), nitric oxide synthase 3 (NOS3), and hypoxia-inducible factor-1 (HIF-1). The KEGG pathways involved in the targets of Chinese medicinal drugs and disease mainly included the signaling pathways of lipid and atherosclerosis,NF-
κ
B, Toll-like receptors, and HIF-1. Prescription 1 significantly decreased serum creatinine and urea nitrogen, and increased the content of NO and NOS3 in renal tissues of CRF rats.
Conclusion
2
Prescription 1 shows the multi-component and multi-target characteristics of action,and its mechanism may be related to its inhibition of renal fibrosis,anti-inflammation,improvement of intestinal microecology,and improvement of renal hypoxia and ischemia.
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