Rapid Determination of Saponins in the Honey-Fried Processing of Rhizoma Cimicifugae by Near Infrared Diffuse Reflectance Spectroscopy.

OBJECTIVE: A model of Near Infrared Diffuse Reflectance Spectroscopy (NIR-DRS) was established for the first time to determine the content of Shengmaxinside I in the honey-fried processing of Rhizoma Cimicifugae. METHODS: Shengmaxinside I content was determined by high-performance liquid chromatography (HPLC), and the data of the honey-fried processing of Rhizoma Cimicifugae samples from different batches of different origins by NIR-DRS were collected by TQ Analyst 8.0. Partial Least Squares (PLS) analysis was used to establish a near-infrared quantitative model. RESULTS: The determination coefficient R² was 0.9878. The Cross-Validation Root Mean Square Error (RMSECV) was 0.0193%, validating the model with a validation set. The Root Mean Square Error of Prediction (RMSEP) was 0.1064%. The ratio of the standard deviation for the validation samples to the standard error of prediction (RPD) was 5.5130. CONCLUSION: This method is convenient and efficient, and the experimentally established model has good prediction ability, and can be used for the rapid determination of Shengmaxinside I content in the honey-fried processing of Rhizoma Cimicifugae.

Synergistic effect of constituent drugs of Baibutang on improving Yin-deficiency pulmonary fibrosis in rats.

ETHNOPHARMACOLOGICAL RELEVANCE: Baibutang (BBT) is an ancient prescription for the treatment of pulmonary fibrosis. Previous experiments have shown that BBT had a good therapeutic effect on pulmonary fibrosis. However, there had been no study on the synergy between drugs composed of BBT. Due to the interaction between the constituent drugs, exploring their synergy profile is of great significance for explaining the essence of BBT's efficacy in improving pulmonary fibrosis. AIM OF THE STUDY: Based on the pharmacodynamic value, this study aimed to explore a method for the evaluation of the synergy profile between constituent drugs in traditional Chinese medicine (TCM) compounds. MATERIALS AND METHODS: Nine herbs of BBT were divided into Zhikeqingre (ZK), Yangyinyiqi (YY) and Lishijianpi (LS) groups. A rat model of Yin-deficiency pulmonary fibrosis induced by thyroxine-bleomycin was used to evaluate the effects of BBT and the three groups. The pathological changes of lung tissue and the changes of biomarkers associated with fibrosis, Yin-deficiency and water-fluid metabolism were detected. After standardization of pharmacodynamics value (PV), the compatibility coefficient (CC) of the three groups, the relative PV (RPV) and contribution value (CV) of each group on every index were calculated. RESULTS: The average CC on fibrosis indexes was 0.44, indicating that 44% of the efficacy of BBT came from the synergistic effect of the three groups. ZK group had the highest RPV (0.80) in improving fibrosis indexes such as histopathological changes, α-SMA, collagen-I and renin-angiotensin system. The average CC on Yin-deficiency indexes was 0.25, and YY group had the highest RPV (0.96) in improving deficiency indexes such as body temperature, cAMP/cGMP ratio, and PDEs, PGE2 and COX-2 levels. The average CC on water-fluid metabolism indexes was 0.15, and LS group had the highest RPV (1.52) in improving water-fluid metabolism indexes such as aquaporins, mucins, and surfactant proteins. The results also showed that 29% of the improvement effect of BBT on all indexes came from the synergistic effect of the three groups, and the contribution of ZK, YY and LS groups to the efficacy of BBT were 25%, 25% and 21%, respectively. CONCLUSION: The established semiquantitative method can clearly and simply evaluate the synergy of the three groups in BBT, which will help to promote the research on the synergy of TCM compounds and other multiple-components combinations.

Analysis of the Potential Relationship between Aging and Pulmonary Fibrosis Based on Transcriptome.

Idiopathic pulmonary fibrosis (IPF) is an age-related interstitial lung disease with a high incidence in the elderly. Although many reports have shown that senescence can initiate pulmonary fibrosis, the relationship between aging and pulmonary fibrosis has not been explained systematically. In our study, young and old rats were intratracheally instilled with bleomycin (1 mg/kg), and the basic pathological indexes were determined using a commercial kit, hematoxylin, and eosin (H&E) and Masson's Trichrome staining, immunohistochemistry, immunohistofluorescence, and q-PCR. Then, the lung tissues of rats were sequenced by next-generation sequencing for transcriptome analysis. Bioinformatics was performed to analyze the possible differences in the mechanism of pulmonary fibrosis between aged and young rats. Finally, the related cytokines were determined by q-PCR and ELISA. The results indicate that pulmonary fibrosis in old rats is more serious than that in young rats under the same conditions. Additionally, transcriptomic and bioinformatics analysis with experimental validation indicate that the differences in pulmonary fibrosis between old and young rats are mainly related to the differential expression of cytokines, extracellular matrix (ECM), and other important signaling pathways. In conclusion, aging mainly affects pulmonary fibrosis through the ECM-receptor interaction, immune response, and chemokines.