Thymocyte selection-associated high mobility group box (TOX), a member of the high mobility group protein super-family, plays an important role in T cell development, functional maintenance, and exhaustion. It has been recently found that TOX exerts critical immunoregulatory functions during pathogen infections, and TOX expression is strongly associated with the intensity and tolerance of host immune responses. This review systematically summarizes the structural and functional features of TOX and focuses on its expression dynamics, mechanisms of action, and immunomodulatory effects during viral, bacterial, and parasitic infections, which provides a theoretical support to better understanding of the role of TOX in infectious diseases and provides new insights into development of potential immunotherapeutic strategies targeting TOX.

Objective:Operational efficiency and influencing factors of China's basic medical insurance system from 2020 to 2021 is conducted to provide reference for improving the operational efficiency and optimizing the input-output relationship.Methods:The super-efficiency SBM model based on unexpected output and the Malmquist index are used to measure the static and dynamic efficiency of resident medical insurance in 31 provinces in China,and Tobit regression analysis is employed to analyze the influencing factors.Results:The overall operational efficiency of resident medical insurance still needs improvement.The operational efficiency of resident medical insurance in the central and western regions is lower than that in the eastern region,and the gap is significant.Different levels and regions have differentiated main constraints on the operational efficiency of resident medical insurance.In terms of dynamic efficiency,the total factor productivity of resident medical insurance operation shows an increasing trend,mainly due to technological progress.In terms of influencing factors,the degree of aging,the level of medical expenses and the level of medical insurance supervision have a significant impact on the operational efficiency.Suggestions:Efforts should be made to bridge regional disparities,promote the equitable development of medical insurance,reasonably control the level of medical expenses,strengthen the supervision of medical insurance funds,and implement active aging policies.

ObjectiveTo elucidate the pharmacodynamic substances responsible for the anti-inflammatory and analgesic effects of Cyperi Rhizoma by structure-activity omics. MethodOn the basis of the previous in vitro efficacy study by our research group， this study explored the in vivo efficacy of the flavonoids in Cyperi Rhizoma. The flavonoids in Cyperi Rhizoma and their targets were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， PharmMapper， Swiss TargetPrediction， and available articles. The targets of the anti-inflammatory and analgesic effects were collected from DisGeNET and Online Mendelian Inheritance in Man （OMIM）. The common targets shared by flavonoids and the effects were selected as the direct targets of flavonoids endowing Cyperi Rhizoma with anti-inflammatory and analgesic effects， and protein-protein interaction （PPI） network of the core targets was constructed. The method of structure-activity omics was employed to correlate the structure and efficacy of one or more classes of chemical components in Cyperi Rhizoma with the targets as a bridge. The components were classified according to structure. Molecular docking of components to core targets was carried out via SYBYL-X 2.1.1， PyMol， and Discovery Studio 4.5 visualizer. Two targets with the highest binding affinity were selected to explore the relationship between compound structures and targets. ResultThe flavonoids in Cyperi Rhizoma exerted anti-inflammatory and analgesic effects on the mouse model of pain induced by formaldehyde. Eighteen components and 115 direct targets were screened out， and the core targets with high activities were protein kinase B1 （Akt1）， interleukin-1β （IL-1β）， cellular tumor antigen p53 （TP53）， prostaglandin-endoperoxide synthase 2 （PTGS2）， and matrix metalloproteinase-9 （MMP-9）. According to the structures， the flavonoids in Cyperi Rhizoma were classified into bioflavonoids， flavonols， flavones， and flavanes. The molecular docking results showed that flavonoids of Cyperi Rhizoma had the highest binding affinity to TP53 and PTGS2. The results of structure-activity omics showed that bioflavonoids represented the best binding structure to the targets， while their polyhydroxyl etherification resulted in a significant decrease in the binding affinity to PTGS2. Glycosides had higher binding affinity to PTGS2. The introduction of the long-chain hydrocarbon group to the A ring of flavonols facilitated the binding to TP53， while the change of B ring substituents was not the main factor affecting the binding affinity. The 3，4-dihydroxyl flavane outperformed 3-hydroxyl flavane in the binding to TP53， while the two compounds showed similar binding affinity to PTGS2. ConclusionThe method of structure-activity omics was used to analyze the material basis for the anti-inflammatory and analgesic effects of flavonoids in Cyperi Rhizoma. Structure-activity omics provides new ideas for revealing the pharmacodynamic substances of traditional Chinese medicine.

ObjectiveTo reveal the pharmacodynamic substances for the anti-inflammatory and analgesic effects of Glycyrrhizae Radix et Rhizoma by structure-activity omics. MethodOn the basis of the previous study about the screening of active components in vitro， this study explored the effects of flavonoids in Glycyrrhizae Radix et Rhizoma in vivo. The flavonoids in Glycyrrhizae Radix et Rhizoma and their direct targets for the anti-inflammatory and analgesic effects were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， PharmMapper， Swiss TargetPrediction， DisGeNET， and Online Mendelian Inheritance in Man （OMIM）. STRING and Cytoscape 3.7.2 were employed to establish the protein-protein interaction （PPI） network of key targets. Molecular docking was performed to simulate the binding of five targets with high degrees to flavonoids in Glycyrrhizae Radix et Rhizoma， on the basis of which the key core targets were selected. The targets were used as a bridge to correlate the structures and effects of one or more classes of chemical components in Glycyrrhizae Radix et Rhizoma. According to the binding affinity between flavonoids with different structures in Glycyrrhizae Radix et Rhizoma and targets， the relationships between compound structures and core targets were discussed. ResultThe flavonoids in Glycyrrhizae Radix et Rhizoma reduced the content of prostaglandin E₂ （PGE₂） in the rat model of pain induced by formalin， demonstrating definite anti-inflammatory and analgesic effects. Sixty active compounds （flavonoids） with anti-inflammatory and analgesic effects of Glycyrrhizae Radix et Rhizoma were obtained. With the total score as the standard， prostaglandin-endoperoxide synthase 2 （PTGS2） and mitogen-activated protein kinase 3 （MAPK3） were selected as the key core targets of Glycyrrhizae Radix et Rhizoma for the anti-inflammatory and analgesic effects. Except that flavones showed selectivity of binding to MAPK3， the other flavonoids of Glycyrrhizae Radix et Rhizoma showed strong binding to PTGS2 and MAPK3， and the structures containing glycoside fragments showed stronger binding affinity to the targets. The introduction of chain olefins in the ring of chalcones facilitated the binding to the targets. The isopentenyl fragment in flavonols may cause the difference in binding affinity. The parallel combination of a ring into pyran ring in flavanes was not conducive to the binding to the target. The electric charge， liposolubility， and steric hindrance of the substituent group on the B ring of isoflavones directly affected the binding affinity. ConclusionThis study adopts structure-activity omics to analyze the material basis for the anti-inflammatory and analgesic effects of Glycyrrhizae Radix et Rhizoma. Structure-activity omics provides new ideas and methods for predicting the pharmacodynamic substances of traditional Chinese medicine.

ObjectiveTo elucidate the active compounds for the anti-inflammatory and analgesic effects of Paeoniae Radix Alba from structure-activity omics. MethodOn the basis of the previous in vitro efficacy study by our research group， a mouse model of foot swelling was induced by methyl aldehyde and used to study the anti-inflammatory and analgesic effects of total glycosides of Paeoniae Radix Alba in vivo. The core targets of the active compounds for the anti-inflammatory and analgesic effects of Paeoniae Radix Alba were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Online Mendelian Inheritance in Man （OMIM）， and Search Tool for Recurring Instances of Neighbouring Genes （STRING）. Molecular docking was conducted for the total glucosides of Paeoniae Radix Alba with the core targets， and the key core targets with high binding affinity were screened out according to the comprehensive score of each target and active structure. The structure-activity relationship was analyzed with targets as a bridge through the combination of compound structures and pharmacological effects. ResultThe total glucosides of Paeoniae Radix Alba had good anti-inflammatory and analgesic effects in vivo. The core targets of 23 active components of Paeoniae Radix Alba were epidermal growth factor receptor （EGFR）， signal transducer and activator of transcription 3 （STAT3）， vascular endothelial growth factor A （VEGFA）， cellular tumor antigen p53 （TP53）， and proto-oncogene transcription factor （JUN）. According to the structure of the parent nucleus， there were 16 pinane monoterpene glycosides， 4 pinene monoterpene glycosides， 2 monoterpene lactone glycosides， and 1 monoterpene ketone. The key core targets screened out by molecular docking were EGFR and STAT3. The structure-activity analysis of the active compound structures and the key core targets showed that the introduction of ketone group and benzene ring group on the parent nucleus affected the binding activity. ConclusionThis study analyzed the material basis for the anti-inflammatory and analgesic effects of total glycosides of Paeoniae Radix Alba from structure-activity omics， providing new ideas and methods for revealing the pharmacodynamic substances in traditional Chinese medicine.

Cocaine,as a widely abused and highly addictive drug,has a serious impact on the physical and mental health of individuals and carries a certain degree of social harm and economic burden.Acupuncture can assist in the treatment of cocaine addiction with fewer side effects.However,a well-defined mode of stimulation is an important factor in elucidating the various mechanisms by which acupuncture treats disease.This paper summarizes the problems in the mechanism of cocaine addiction,such as different parameters of stimulation,unstable depth of acupuncture,different acupoint selection,and different lengths of acupuncture time.To standardize the intervention measures of acupuncture experiments,it is suggested that in future research,the stimulation method should explore the best parameters,the selection of acupoints should be based on clinical practice,the timing of acupuncture should be objective,and the treatment course should consider the effects of acupuncture.

The complex chemical composition and limited research ideas of traditional Chinese medicine （TCM） have led to the unclear material basis and mechanism of the medicinal effects， which is a common problem hindering the modernization of TCM in China. The introduction of computer virtual technology has provided a new perspective for TCM research. In this study， we established the research method of structure-activity omics to study the relationships between the structures and effects of different compounds in TCM based on the chemical structures of TCM components and to analyze and predict the material basis and multitarget synergistic mechanism of TCM. Furthermore， a structure-activity omics study was carried out with the anti-inflammatory and analgesic effects of Qizhi Weitong granules as an example. This study provides support for screening the pharmacodynamic components and analyzing the active ingredients of TCM and gives insights into the research on the material basis and mechanism of compound efficacy and the development of lead compounds of TCM， thus promoting the modern research and the innovative development of TCM.

ObjectiveTo explain the anti-inflammatory and analgesic effects of Corydalis Rhizoma by the means of structure-activity omics. MethodOn the basis of the previous in vitro screening study， we studied the in vivo efficacy of the alkaloids in Corydalis Rhizoma. With the targets as a bridge， the structures of chemical components in Corydalis Rhizoma were connected with the efficacy. The molecular docking of the alkaloids in Corydalis Rhizoma with the targets of inflammation and pain was carried out. According to the docking scores and the differences in the structural nucleus of Corydalis Rhizoma alkaloids， a study of structure-activity omics was carried out to summarize the rules of their connection. ResultThe alkaloids in Corydalis Rhizoma had good anti-inflammatory and analgesic effects in vivo， involving 53 chemical components and 73 targets. There were 3 074 targets associated with inflammation and pain， and 42 targets of direct action were shared by the chemical components and the disease. The protein-protein interaction （PPI） and molecular docking analysis predicted that the main active components of Corydalis Rhizoma were tetrahydropalmatine and palmatine， and the core targets were prostaglandin endoperoxide synthase 2 （PTGS2）， glutamate receptor metabotropic 5 （GRM5）， estrogen receptor 1 （ESR1）， solute carrier family 6 member 4 （SLC6A4）， and fusion oncoproteins （FOS）. According to the differences of mother nucleus， the 53 alkaloid components of Corydalis Rhizoma were classified into 8 categories， including protoberberine， berberine， and aporphine， which had high binding affinities with PTGS2， GRM5 and other targets. The relationship between the structures of Corydalis Rhizoma alkaloids and docking scores in each group showed the same law. In protoberberine， appropriate substituents with hydroxyl， alkoxy or methyl groups on the A and D rings of the parent ring were conducive to enhancing the binding activities with the two targets. In berberine， the structure containing a methyl group on position 13 had strong binding affinities with the two targets. It is hypothesized that the methyl fragment changes the binding mode between the component structure and amino acid residues， which greatly improves the binding affinity. ConclusionThis study employs the method of structure-activity omics to analyze the material basis for the anti-inflammatory and analgesic effects of alkaloids in Corydalis Rhizoma， and the structure-activity omics provides new ideas for revealing the pharmacodynamic substances of traditional Chinese medicine.

ObjectiveTo identify the pharmacodynamic substances for the anti-inflammatory and analgesic effects of Bupleuri Radix by structure-activity omics. MethodA mouse model of pain was established with formaldehyde to examine the anti-inflammatory and analgesic effects of saikosaponins in vivo. The core targets of the active components in Bupleurum Radix for the anti-inflammatory and analgesic effects were screened from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Online Mendelian Inheritance in Man （OMIM）， and Search Tool for Recurring Instances of Neighbouring Genes （STRING）. The key core targets with high binding affinity were screened based on the comprehensive score in the molecular docking between different types of saikosaponins and core targets. The structure-activity relationship was discussed and analyzed based on the binding of compounds to pharmacodynamic targets. ResultSaikosaponins alleviated the foot swelling induced by formaldehyde and reduced the content of prostaglandin E₂ （PGE₂） in the mouse model， showcasing a significant inhibitory effect on the inflammatory pain caused by PGE₂. Nine components and 39 targets of saikosaponins， as well as 3 074 targets of anti-inflammatory and analgesic effects were screened out， and 22 common targets shared by saikosaponins and the effects were obtained as the direct targets. The protein-protein interaction （PPI） analysis showed that the main active components of Bupleurum Radix were saikosaponins a， b₁， b₂， b₃， c， d， e， f， and v， and the key targets were fms-related receptor tyrosine kinase 1 （FLT1）， kinase insert domain receptor （KDR）， fibroblast growth factor 2 （FGF2）， vascular endothelial growth factor A （VEGFA）， and signal transducer and activator of transcription 3 （STAT3）. Molecular docking between saikosaponins and the top 5 targets with high degrees in PPI network analysis revealed 25 highly active docks， including 6 docks with scores of 5-6 and 18 docks with scores above 6. ConclusionThis study adopted structural-activity omics to analyze the material basis for the anti-inflammatory and analgesic effects of Bupleuri Radix in vivo， providing new ideas and methods for identifying the pharmacodynamic substances in traditional Chinese medicine.

ObjectiveTo investigate the influencing factors for the clinical outcome of patients with drug-induced liver injury （DILI）， and to establish a nomogram prediction model for validation. MethodsA retrospective analysis was performed for the general information and laboratory data of 188 patients with DILI who were admitted to Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology from January 2017 to December 2022， and according to their clinical outcome， they were divided into good outcome group with 146 patients and poor outcome group with 42 patients. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Univariate and multivariate Logistic regression analyses were used to investigate the independent influencing factors for the clinical outcome of DILI patients. R Studio 4.1.2 software was used to establish a nomogram model， and calibration curve， receiver operating characteristic （ROC） curve， and decision curve analysis （DCA） were used to perform internal validation. ResultsThe univariate Logistic regression analysis showed that liver biopsy for the diagnosis of DILI， platelet count， cholinesterase， albumin， prothrombin time activity， IgM， and IgG were associated with adverse outcomes in patients with DILI. The multivariate Logistic regression analysis showed that liver biopsy for the diagnosis of DILI （odds ratio ［OR］=0.072， 95% confidence interval ［CI］： 0.022‍ ‍—‍ ‍0.213， P<0.001）， clinical classification （OR=0.463， 95%CI： 0.213‍ ‍—‍ ‍0.926， P=0.039）， alanine aminotransferase （OR=0.999， 95%CI： 0.998‍ ‍—‍ ‍1.000， P=0.025）， prothrombin time activity （OR=0.973， 95%CI： 0.952‍ ‍—‍ ‍0.993， P=0.011）， and IgM （OR=1.456， 95%CI： 1.082‍ ‍—‍ ‍2.021， P=0.015） were independent influencing factors for clinical outcome in patients with DILI. The nomogram prediction model was established， and after validation， the calibration curve was close to the reference curve. The area under the ROC curve was 0.829， and the DCA curve showed that the model had good net clinical benefit. ConclusionThe nomogram prediction model established in this study has good clinical calibration， discriminative ability， and application value in evaluating the clinical outcome of patients with DILI.