OBJECTIVE To screen and quantitatively analyze the quality marker （Q-Marker） associated with anti-renal fibrosis in Shenqi shenshuai mixture （SQSS）， so as to provide references for the analysis of pharmacodynamic substances and new drug transformation of SQSS. METHODS The chemical components of SQSS were characterized by untargeted metabolomics. Combined with network pharmacology， gene expression omnibus （GEO） and connectivity map （CMAP） databases， the anti-renal fibrosis Q-Markers of SQSS were screened. HPLC-MS/MS was applied to determine the contents of Q-Markers in 10 batches of SQSS. RESULTS A total of 1 319 compounds were identified from SQSS via untargeted metabolomics，and 84 active ingredients with anti-renal fibrosis activity were further screened out， such as formononetin. Nine anti-renal fibrosis Q-Markers were obtained by network pharmacology and GEO database， including berberine， quercetin， honokiol， nicotinamide， daidzein， coumarin， kaempferol， formononetin and amygdalin. The quantitative results showed that the average contents of the above components （excluding amygdalin） in 10 batches of SQSS were 2.523， 1.942， 26.848， 1.415， 0.692， 0.171， 0.374， 7.401 μg/mL， respectively. CONCLUSIONS Nine anti-renal fibrosis Q-Markers of SQSS were screened in this study， and the contents of eight among them were determined. The results can provide a basis for elucidating the pharmacodynamic material basis and promoting the new drug transformation of SQSS.

OBJECTIVE To screen and quantitatively analyze the quality marker （Q-Marker） associated with anti-renal fibrosis in Shenqi shenshuai mixture （SQSS）， so as to provide references for the analysis of pharmacodynamic substances and new drug transformation of SQSS. METHODS The chemical components of SQSS were characterized by untargeted metabolomics. Combined with network pharmacology， gene expression omnibus （GEO） and connectivity map （CMAP） databases， the anti-renal fibrosis Q-Markers of SQSS were screened. HPLC-MS/MS was applied to determine the contents of Q-Markers in 10 batches of SQSS. RESULTS A total of 1 319 compounds were identified from SQSS via untargeted metabolomics，and 84 active ingredients with anti-renal fibrosis activity were further screened out， such as formononetin. Nine anti-renal fibrosis Q-Markers were obtained by network pharmacology and GEO database， including berberine， quercetin， honokiol， nicotinamide， daidzein， coumarin， kaempferol， formononetin and amygdalin. The quantitative results showed that the average contents of the above components （excluding amygdalin） in 10 batches of SQSS were 2.523， 1.942， 26.848， 1.415， 0.692， 0.171， 0.374， 7.401 μg/mL， respectively. CONCLUSIONS Nine anti-renal fibrosis Q-Markers of SQSS were screened in this study， and the contents of eight among them were determined. The results can provide a basis for elucidating the pharmacodynamic material basis and promoting the new drug transformation of SQSS.

OBJECTIVE To find lead compounds with potent bioactivities from endophytic fungi Trichoderma sp. SHJN1 and Perenniporia sp. SHJG1 from the traditional Chinese medicine Lindera glauca. METHODS The fermentation of Trichoderma sp. SHJN1 and Perenniporia sp. SHJG1 were isolated and purificated by repeated silica gel, ODS, Sephadex LH-20, and semi-preparation HPLC. The structures of compounds were performed by NMR and ESI-MS. The preliminary evaluation of anti-tumor activity of these compounds was performed by human breast cancer cells(MCF-7) and human lung cancer cells(A549). RESULTS A total of 12 compounds were purified from the above two endophytic fungi and identified as alantrypinone(1), oryzalactam(2), phomoindene A(3), cis-gregatin B(4), huaspenone B(5), stigmasta-7,22-dien-3β,5α,6α-triol(6) and ergosterol(7), 1-deoxy-2-demethylviridiol (8), viridiol(9), trichodermamides A(10), chromone(11) and 4-hydroxyphenylacetic acid(12). The evaluation of antitumor activity showed that, compound 3 showed inhibitory activity on MCF-7 cell line with an IC50 value of (62.9±1.02)μmol·L-1[cisplatin(DDP) IC50=(30.1±1.67)μmol·L-1], while compound 8 and 9 showed inhibitory activities on A549 cell line with IC50 values of (34.6±1.57)μmol·L-1 and (44.9±1.74)μmol·L-1, respectively[DDP IC50=(20.6±1.42)μmol·L-1]. CONCLUSION Compounds 3, 8 and 9 show potent anti-tumor effects.