Herba Monochasmae savatii, whole plant of the Monochasma savatier Franch. or Monochasma sheareri Franch. ex Maxim., scrophulariaceae, was first found in "Zhiwu Mingshi Tukao". It has the effects of clearing heat and detoxicating, dispelling wind and relieving pain, cooling the blood and stopping bleeding, etc. This review used Monochasma savatier Franch. or Monochasma sheareri Franch. ex Maxim. as the subject term to search CNKI, PubMed and SciFinder, and reviewed the classification of medicinal material, medicinal standards, chemical components, biological activities and pharmacological effects of Herba Monochasmae savatii in recent years to provide a basis for the research, development and clinical rational application.

Objective:To explore the effects of coenzyme Q10(CoQ10) on high-fat diet-induced obesity, lipid disorders, and bile acid metabolism in mice.Methods:Eight-week-old C57BL/6J mice were randomly divided into control group(regular chow), high-fat diet group(45% high-fat chow), and CoQ10 intervention group(45% high-fat chow+ 100 mg·kg -1·d -1CoQ10) based on their body weights according to the randomized block design. The body weight and food intake of mice in each group were collected. The levels of serum total cholesterol, triglyceride, low density lipoprotein-cholesterol, high density lipoprotein-cholesterol, alanine aminotransferase, and aspartate aminotransferase were detected. The contents of 17 bile acids in serum, liver, and colon contents of mice were detected by ultra-performance liquid chromatography-tandem mass(UPLC-MS/MS). The protein expressions of cholesterol 12α-hydroxylase(CYP8B1) and oxysterol 7α-hydroxylase(CYP7B1) in liver were detected by Western blotting. Results:CoQ10 significantly reduced body weight and ameliorated lipid metabolism disorders in mice fed a high-fat diet. Compared with the control group, serum total bile acid levels were reduced in the high-fat diet group( P<0.05); CoQ10 intervention elevated serum and colonic total bile acid levels( P=0.021, P=0.014) and increased liver, colon, and serum deoxycholic acid and ursodeoxycholic acid levels( P<0.05) in the mice compared with the high-fat diet group. Both colonic and serum deoxycholic acid levels in the CoQ10 intervention group were negatively correlated with body weights( P=0.024, P=0.019), and colonic deoxycholic acid and total cholesterol levels were also negatively correlated( P=0.006). CoQ10 increased the expression of CYP8B1 and CYP7B1 proteins in the liver of mice. Conclusion:CoQ10 can modulate bile acid metabolism in high-fat diet-fed mice and alleviate their obesity and lipid metabolism disorders.

Objective To explore the potential mechanism of Erchen decoction in the treatment of obese polycystic ovary syndrome and obese infertility, in order to provide theoretical basis for “treating different diseases with same method”. Methods The active ingredients and targets of Erchen decoction were obtained from TCMSP database, and the targets of obese polycystic ovary syndromes and obese infertility were obtained from GeneCard database. Active ingredient-target network was constructed by Cytoscape 3.7.1, and protein-protein interaction network and core target were obtained from STRING. GO and KEGG enrichment analysis were performed by Cytoscape 3.7.1 and online software. Results 125 ingredients and 218 targets of Erchen decoction were obtained. There were 2 783 target genes for obese infertility and 2 962 target genes for obese polycystic ovary syndrome. Erchen decoction has a total of 117 target genes in the treatment of obese infertility and obese polycystic ovary syndromes, which proves the principle of “treating different diseases with same method”. Potential active ingredients include quercetin, kaempferol, naringin, baicalin and formononetin. PPI showed that STAT3, JUN, AKT1, MAPK3, MAPK1, MAPK14, IL-6 and FOS were the core targets of “treating different diseases with same method”. Molecular docking results showed that quercetin, kaempferol, etc. had good binding ability with JUN. GO and KEGG enrichment analysis showed that AGE-RAGE signaling pathway, IL-17 signaling pathway and endocrine resistance might be the key pathways for the “treating different diseases with same method” of Erchen decoction. Conclusion Erchen decoction treating "different diseases with same method" involves same targets and same pathways, which can provide reference for future experimental research.

Objective To explore the potential mechanism of Qingkailing (QKL) on influenza, and to provide a theoretical basis for the clinical application of QKL. Methods TCMSP, TCMID, and PubChem databases were used to search for the active ingredients and action targets of QKL. GeneCards database was used to search for the targets of influenza. The intersection method was used to obtain the targets related to the therapeutic effects of QKL. Cytoscape software was applied for the construction of active compounds-targets network map. Protein-protein interaction network was constructed by STRING database. Gene ontology functional enrichment analysis and KEGG pathway enrichment analysis were conducted by Bioconductor database and R software. Auto Dock Tools were used for molecular docking. Results Total 90 potential active components were identified from QKL with the corresponding 225 targets. PPI network analysis showed that there were 34 key targets intervening influenza by QKL. GO and KEGG showed that the mechanism of QKL intervention on influenza was related to anti-inflammatory and antiviral. The results of molecular docking showed that cholic acid, hyodeoxycholic acid and baicalin had affinity with RELA and JUN. Conclusion The active ingredients of QKL target on JUN, RELA, MAPK1, IL6 and AKT1 to regulate multiple signal pathways, and play an intervention role in influenza.

Objective To explore the potential mechanism of Jiangzhihugan capsule (JZHG) for fatty liver (FL), and to provide a theoretical guideline for the clinical application of JZHG. Methods TCMSP and TCMID databases were used to search for the active components and targets of JZHG. GeneCards and OMIM database were used to search the FL related targets. The intersection method was used to identify the common targets of JZHG and FL. Cytoscape software was applied for the construction of active compounds-targets network map. Protein-protein interaction network was constructed by STRING software. Gene ontology functional enrichment analysis and KEGG pathway enrichment analysis were conducted with Bioconductor database and R software. Results 46 potential active components were screened out from JZHG. 7406 targets were retrieved through GeneCard and OMIM database. 118 genes were obtained from the intersection of component-target and disease-target. These genes were mainly involved with the response to oxidative stress, apoptosis, inflammatory response, hormone resistance and other biological processes. The mechanism was related to PI3K-Akt signaling pathway, human cytomegalovirus infection, microRNAs in cancer, etc. Conclusion The mechanism of active ingredients for FL in JZHG may be due to improving lipid metabolism and reducing liver fat accumulation through anti-oxidative stress and anti-inflammatory effects.

ObjectiveTo investigate the biological function and molecular mechanism of long non-coding RNA Linc‑pint in colorectal cancer. MethodsQuantitative real‑time quantitative （qRT‑PCR） was performed to detect the expression level of Linc‑pint in 31 pairs of colorectal cancer tumor and adjacent normal tissues； correlation between the expression level of Linc‑pint and the clinicopathological characteristics was analyzed by the chi‑square test. Kaplan-Meier survival analysis was used to assess the relationship between Linc‑pint expression level and the prognosis of patients. Cox regression model was used to analyze the relationship between clinicopathological characteristics and the prognosis of patients. Expression level of Linc‑pint were detected by qRT‑PCR in 5 common colorectal cancer cell lines. Effect of Linc‑pint on cell proliferation， invasion and migration was measured by cell counting kit‑8 assay， Transwell assay and harvested xenografts from nude mice. qRT‑PCR was performed to detect the expression level of Linc‑pint's target gene micro RNA（miR）‑21 in 31 pairs of colorectal cancer tumor tissues and adjacent normal tissues. Pearson correlation coefficient was used to assess the correlation between Linc‑pint and miR‑21. qRT‑PCR was used to detect the expression of overexpression of Linc‑pint on miR‑21 in colorectal cancer cells. ResultsExpression level of Linc‑pint in normal tissues （3.95±1.16） was significantly higher than that in colorectal cancer tissues （2.74±0.95） （t=6.17， P<0.05）. Overall survival rate of patients with high expression of Linc‑pint was 62.5%， which was significantly higher than that of patients with low expression of Linc‑pint （34.3%， P<0.05）. The proliferation， invasion and migration of CRC cells were inhibited after overexpression of Linc‑pint. In colorectal cancer tumor and adjacent normal tissues， Linc‑pint and miR‑21 showed opposite expression in tumor tissues and were negatively correlated （r=-0.288 and -0.908， both P<0.05）. ConclusionLinc‑pint acts as a tumor suppressor by down‑regulating the expression level of miR‑21 to inhibit the proliferation， invasion and migration of colorectal cancer.