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OBJECTIVE： To investigate the substance basis and mechanism of Xiaochaihu decoction in treatment of sepsis， and to provide reference for clinical application and R&D of the decoction. METHODS： Based on TCM integrative pharmacology platform （TCMIP）， chemical component analysis of Xiaochaihu decoction， disease target prediction， gene function and pathway enrichment analysis were all performed. The multi-dimensional network relationship of “TCM-chemical components-core targets-key pathways” was established， and the mechanism of Xiaochaihu decoction in treatment of sepsis was investigated. RESULTS： A total of 224 predicted chemical ingredients of Xiaochaihu decoction （including saikoside， ginsenoside， glycyrrhizin， etc.） interacted with 118 key targets about sepsis， including PF4， MYD88， TLR4， CD14， NOS3， etc. Its anti-sepsis mechanism involved nervous system， endocrine system， immune response and energy metabolism， etc. CONCLUSIONS： Based on “neuronal- endocrine-immune-metabolism”， Xiaochaihu decoction achieved its role in regulating sepsis by multi-level， multi-channel and multi-channel. This research may reveal the potential mechanism of Xiaochaihu decoction for sepsis， and the prescription provide theoretical basis for further experimental research of pharmacodynamic substance basis and mechanism of action．
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Objective@#To investigate the impact factors for central neck lymph node metastases(CLNM) of papillary thyroid carcinoma(PTC).@*Methods@#A total of 498 patients with PTC who underwent total or hemi-thyroidectomy plus central neck lymph node dissection between January 2014 and July 2016 were included. Univariate and multivariate analyses were performed to identify clinicopathological characteristics, thyroid function parameters and US findings that associated with CLNM of PTC. A nomogram was developed to predict the probability of CLNM. The receiver operating characteristic curve(ROC) was used to estimate the efficiency of the nomogram.@*Results@#Among 498 patients, 284 patients were affected by CNLM. The sensitivity and specificity of US in predicting PTC metastasis in the central neck were 31.3% and 88.3%, respectively. Univariate and multivariate analyses showed that gender, age, number and size of suspicious malignant nodules in thyroid, and suspicious lymph node metastasis detected by ultrasonography were independently correlated with CLNM. The ROC showed that the AUC was 0.748, with sensitivity of 80.8%, and specificity of 59.8%.@*Conclusions@#Gender, age, number and size of suspicious malignant nodules in thyroid, suspicious lymph node metastasis were predictive factors for CLNM in patients with PTC. The nomogram developed based on related factors with CLNM is more sensitive than sonographic central neck lymph node features in predicting the probability of CLNM.