Sleep disorders are a serious global health problem influenced by neuropsychiatric disorders, diseases, environment, diet, and other factors. Recent studies have revealed that gut microbes (GM) are closely associated with sleep. Their metabolites regulate circadian rhythms, neurotransmitter systems, and other physiological processes through the gut-brain axis, influencing brain homeostasis and contributing to the pathogenesis of insomnia. Suanzaoren decoction (SZRD) is a classic and well-known traditional Chinese medicine (TCM) prescription for the treatment of insomnia. Modern pharmacological research indicates that SZRD can maintain intestinal microbial homeostasis, regulate microbial metabolites, and safeguard the intestinal immune barrier. This review elucidates the pathophysiological interplay between sleep disorders and GM and summarizes the progress of research on SZRD in treating insomnia via the “microbes-gut-brain axis” by regulating intestinal microecology. It is expected to broaden the clinical application of TCM in insomnia treatment and provide a theoretical foundation for pharmacological innovation of classic TCM prescriptions.

Objective To investigate the protective effects of Wuling capsule on mice with autoimmune hepatitis(AIH).Methods Mice were randomly divided into control group,AIH model group,Wuling capsule low-dose group(0.5 g·kg-1·d-1),Wuling capsule middle-dose group(1.0 g·kg-1·d-1),and Wuling capsule high-dose group(2.0 g·kg-1·d-1),with 10 mice in each group.The Wuling capsule groups were administered with Wuling capsule suspension of different doses orally at a volume of 10 mL/kg once daily;the control group and AIH model group were given the same volume of saline by gavage.After 14 d of administration,mice in the AIH model group and Wuling capsule groups were injected with concanavalin A(20 mg/kg)via the tail vein,and the serum,liver,and spleen were collected 8 h after injection.Serum alanine transaminase(ALT)and aspartate transaminase(AST)levels were measured using an automatic biochemical analyzer;hematoxylin-eosin staining was used to observe the pathological structure of the liver tissue;the contents of interleukin(IL)-6,IL-4,and tumor necrosis factor(TNF)-α in liver were determined by enzyme-linked immunosorbent assay,and quantitative polymerase chain reaction was used to determine the relative mRNA expression levels of IL-6,IL-4,TNF-α,Toll-like receptor 4(TLR4),and nuclear factor κB(NF-κB)in the liver.Fluorescence immunoassay was used to analyze the expression and nuclear translocation of NF-κB p65 protein in the liver.Results Compared with the control group,the AIH model group showed abnormal liver morphology and structure,increased serum ALT and AST levels,increased contents of IL-4,IL-6,and TNF-α in the liver,upregulated mRNA expression levels of IL-6,IL-4,TNF-α,TLR4,and NF-κB in the liver,and increased nuclear entry of NF-κB p65.Wuling capsule significantly improved the pathological structure of the liver in AIH mice,reduced serum ALT and AST levels,decreased the contents of IL-4,IL-6,and TNF-α in the liver and the mRNA expression levels of TLR4,NF-κB,IL-4,IL-6,and inhibited the nuclear activation of NF-κB p65.Conclusion Wuling capsule has significant protective effects on AIH mice,which may be related to the TLR4/NF-κB signaling pathway.

Objective To investigate the active ingredients of Zizyphi Spinosae Semen(ZSS)in relieving benzodiazepine(BDZ)dependence and its molecular mechanism based on the integrated Traditional Chinese Medicine and chemical drugs idea of"enhancing effect and reducing toxicity"via the approach of network pharmacology and the technique of molecular dynamics simulation.Methods First,literature search was undertaken to find the main components of ZSS.Then,the major effective constituents of ZSS in relieving BDZ dependence and its target of action were explored on the basis of network pharmacology and molecular docking.Finally,the relationship between core components of ZSS and key proteins was further verified through the technique of molecular dynamics simulation.Results After literature search,a total of 24 chemical components in ZSS were found to act on 731 targets.Through establishing the network of"ingredients-targets-pathways",topology analysis was performed to obtain nine core components such as linoleic acid,palmitic acid,oleic acid,tetradecanoic acid,spinosin,oleanolic acid and jujuboside A,as well as five key targets including AR,PTGS2,PPARG,RXRA and CYP19A1.Bioinformation enrichment analysis was made to obtain critical pathways such as calcium signaling pathway,cAMP signaling pathway,IL-17 signaling pathway and TNF signaling pathway.The results of molecular docking revealed that there was a good combination between core components of ZSS and key targets,and it was mainly dominated by hydrogen bonding.Furthermore,the molecular dynamics simulation experiments indicated that the combinations between jujuboside A and RXRA,oleanolic acid and RXRA,spinosin and PPARG were stable,and these three active ingredients played an important role in improving BDZ dependence.Conclusion The active components in ZSS may exert multi-target and multi-pathway intervention effects on BDZ dependence by means of processes such as immunoregulation,anti-anxiety,and anti-insomnia.

With the broad application of high-resolution computed tomography (CT) and high rates of early lung cancer screening, the number of patients diagnosed with synchronous multiple primary lung cancer (sMPLC) has been increasing. It becomes of great prominence to distinct sMPLC from intrapulmonary metastases in clinical practice. An increasing number of studies have developed high-throughput sequencing based genetic approaches to specify the molecular characteristics of sMPLC, which contributes to a better understanding of its tumorigenesis. The genetic profile of sMPLC also benefits its diagnosis, which mainly relies on its clinicopathological criteria. Here, we summarize the progresses on the diagnostic criteria for sMPLC, and also molecular features of sMPLC from the perspective of clonality analysis.

【Objective】 To explore the effect of Zhikepipa Mixture on the treatment of COVID-19 through network pharmacology analysis and molecular docking technology. 【Methods】 First, we performed the network pharmacology method to screen active compounds and targets so as to explore the mixture’s potential mechanisms in the treatment of COVID-19. In line with ADME screening index, like oral bioavailability (OB) ≥30% or drug likeness index (DL) ≥0.18, the active compounds against COVID-19 related targets were selected to construct the 'herb-compound-target’ network. Mechanism prediction of Zhikepipa mixture in the treatment of COVID-19 was analyzed by the interaction of the target sites, the bioinformatic annotation, and the metabolic pathway. Then, we used a molecular docking model to evaluate the binding ability between active compounds and 2019-nCoV (SARS-CoV-2) 3-chymotrypsin-like cysteine protease (3CL^pro) receptor-binding domain (PBD ID 6LU7), which was involved in mediating viral replication and transcription functions. 【Results】 The'herb-compound-target’ network showed 34 key compounds and 30 disease targets after overlapping with disease targets. The network topology analysis showed that those selected compounds with higher degree would produce marked anti-inflammatory effects by regulating 30 targets like PTGS1, IL1B, IL6, IL10, CXCL8 and JUN. AGE-RAGE signaling pathway, IL-17 signaling pathway, TNF signaling pathway, PI3K-Akt signaling pathway, and MAPK signaling pathway were involved in regulating hepatitis B and diabetic complications. In addition, Folium eriobotryae and Radix stemonae played important roles in the network. The molecular docking results showed that nine compounds were identified with higher docking score rank against 2019-nCoV 3CL^pro protease, and most of them were attributed to flavonoids. 【Conclusion】 Zhikepipa Mixture could exhibit both anti-inflammatory and anti-virus actions through multi-component, multi-target, and multi-pathway.

COVID-19 is a public health emergency currently. In this study, a scale-free network model is established based on the Spring Migration data in 2020.The cities is clustered into three different modules. The epidemic of the cities in the black module was the most serious, followed by the red and the cyan. The black module contains 9 cities in Zhejiang province and 8 cities in Guangdong province, most of them located in the southeast coastal economic belt. These cities should be the key cities for epidemic prevention and control.

COVID-19 is a public health emergency currently. In this study, a scale-free network model is established based on the Spring Migration data in 2020.The cities is clustered into three different modules. The epidemic of the cities in the black module was the most serious, followed by the red and the cyan. The black module contains 9 cities in Zhejiang province and 8 cities in Guangdong province, most of them located in the southeast coastal economic belt. These cities should be the key cities for epidemic prevention and control.

Objective:To optimize the extraction technology and evaluate antioxidant activity of total flavonoids from Hedyotis dif-fusa. Methods:The content of kaempferol was detected by an HPLC method,and spectrophotometry was used to detect the content of total flavonoids. Results: The optimum extraction conditions were investigated by orthogonal design with the extraction quantities of kaempferol and total flavonoids as the evaluation indices. The antioxidant activities of the extracts were detected based on the clearance of hydroxyl radical and DPPH·model. The optimum extraction conditions were as follows:10-fold amount of 80% methanol and with ultrasonic extraction for 15 min. The clearance rate of 1ml methanol extract for scavenging DPPH· and ·OH was 73.89% and 91.27%,respectively.Conclusion:The optimum technology is stable and feasible for the extraction of Hedyotis diffuse. The extract shows good in vitro antioxidant properties, which provides powerful reference for the future development of relevant antioxidant prod-ucts.

Objective: Single-nucleotide polymorphisms (SNPs) in the ataxia telangiectasiaemutated gene ATM have been linked with pneumonitis after radiotherapy for lung cancer but have not been evaluated in terms of pulmonary function impairment. Here we investigated potential associations between SNPs in ATM and changes in diffusing capacity of the lung for carbon monoxide (DLCO) in patients with nonesmall-cell lung cancer (NSCLC) after radiotherapy. Methods: From November 1998 through June 2009, 448 consecutive patients with inoperable primary NSCLC underwent definitive (≥60 Gy) radiotherapy, with or without chemotherapy. After excluding patients with a history of thoracic surgery, ra-diation, or lung cancer; without DNA samples available for analysis; or without pulmonary function testing within the 12 months before and the 12 months after radiotherapy, 100 patients were identified who are the subjects of this study. We genotyped two SNPs of ATM previously found to be associated with radiation-induced pneumonitis (rs189037 and rs228590) and evaluated potential correlations between these SNPs and impairment (decreases) in DLCO by using logistic regression analysis. Results: Univariate and multivariate analyses showed that the AA genotype of ATM rs189037 was associated with decreased DLCO after definitive radiotherapy than the GG/AG genotypes [univariate coefficient, -0.122; 95％ confidence interval (CI),-0.236 to -0.008; P = 0.037; and multivariate coefficient, -0.102; 95％ CI, -0.198 to -0.005; P = 0.038]. No such correlations were found for rs228590 (univariate coefficient, -0.096; 95％ CI, -0.208 to 0.017; P = 0.096). Conclusions: The AA genotype of ATM rs189037 was associated with higher risk of lung injury than were the GG/AG genotypes in patients with NSCLC treated with radiotherapy. This finding should be validated prospectively with other patient populations.

Objective: Single-nucleotide polymorphisms (SNPs) in the ataxia telangiectasiaemutated gene ATM have been linked with pneumonitis after radiotherapy for lung cancer but have not been evaluated in terms of pulmonary function impairment. Here we investigated potential associations between SNPs in ATM and changes in diffusing capacity of the lung for carbon monoxide (DLCO) in patients with nonesmall-cell lung cancer (NSCLC) after radiotherapy. Methods: From November 1998 through June 2009, 448 consecutive patients with inoperable primary NSCLC underwent definitive (≥60 Gy) radiotherapy, with or without chemotherapy. After excluding patients with a history of thoracic surgery, ra-diation, or lung cancer; without DNA samples available for analysis; or without pulmonary function testing within the 12 months before and the 12 months after radiotherapy, 100 patients were identified who are the subjects of this study. We genotyped two SNPs of ATM previously found to be associated with radiation-induced pneumonitis (rs189037 and rs228590) and evaluated potential correlations between these SNPs and impairment (decreases) in DLCO by using logistic regression analysis. Results: Univariate and multivariate analyses showed that the AA genotype of ATM rs189037 was associated with decreased DLCO after definitive radiotherapy than the GG/AG genotypes [univariate coefficient, -0.122; 95％ confidence interval (CI),-0.236 to -0.008; P = 0.037; and multivariate coefficient, -0.102; 95％ CI, -0.198 to -0.005; P = 0.038]. No such correlations were found for rs228590 (univariate coefficient, -0.096; 95％ CI, -0.208 to 0.017; P = 0.096). Conclusions: The AA genotype of ATM rs189037 was associated with higher risk of lung injury than were the GG/AG genotypes in patients with NSCLC treated with radiotherapy. This finding should be validated prospectively with other patient populations.