ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

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 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.

Objective: To explore the association of tobacco/alcohol-excessive Internet usage and insufficient sleep with depressive symptoms among middle school students, so as to provide a reference for improving mental health of middle school students. Methods: In accordance with the cluster random sampling method, a total of 18 484 middle school students in Shanghai were surveyed from September to November 2022. Tobacco/alcohol-excessive Internet usage and sleep duration with depressive symptoms were assessed using the relevant scale items included in the questionnaire of Surveillance for Common Disease and Health Risk Factors among Students. The χ 2 test was used for inter group comparison, Logistic regression analysis and likelihood ratio test were used to analyze the independent and aggregated associations of tobacco/alcohol-excessive Internet use and insufficient sleep wiht depressive symptoms. Results: Self reported rates of tobacco/alcohol-excessive Internet usage, insufficient sleep and depressive symptoms among adolescents were 14.7%, 73.5% and 16.3%, respectively. Tobacco/alcohol-excessive Internet usage ( OR=2.69, 95%CI =2.44-2.97) and insufficient sleep ( OR=1.76, 95%CI =1.58-1.95) were associated with depressive symptoms ( P <0.05). Compared to middle school students with no tobacco/alcohol-excessive Internet usage and sufficient sleep, those with both tobacco/alcohol-excessive Internet usage and insufficient sleep showed the higher rate of depressive symptoms ( OR=4.71, 95%CI =4.08-5.44, P <0.05). Further stratified analysis results showed that, compared to the boys and the high school students, the separate and joint association of tobacco/alcohol-excessive Internet usage and insufficient sleep with depressive symptoms were more pronounced in the girls and the middle school students [ OR (95% CI ) for tobacco/alcohol-excessive Internet usage were 3.09 (2.68-3.56) and 4.74 (3.86-5.83), respectively; OR (95% CI ) for insufficient sleep were 1.86 (1.60-2.17) and 2.00 (1.58-2.53), respectively; and the OR (95% CI ) for the joint association were 6.05 (5.01-7.31) and 9.15 (6.98-11.99), respectively, P <0.05]. Conclusions Tobacco/alcohol-excessive Internet usage and insufficient sleep are associated with depressive symptoms in middle school students. Prevention and control strategies for adolescent mental health should be developed with consideration of health related behaviors, and also need to be tailored by focusing on gender and grade differences.

Digital polymerase chain reaction(dPCR)is a PCR technology that realizes accurate quantification of single-copy nucleic acid molecules by dividing the reaction system into tens of thousands of independent PCR reaction units for single-molecule-level amplification and integrating Poisson distribution.Due to its single-copy sensitivity and accurate quantification without the need of standard curves,dPCR has been widely used in disease diagnosis.By introducing technologies such as stepped emulsification and three-dimensional imaging,dPCR has been greatly improved in terms of accuracy,multiplexability and turnaround time,significantly enhancing its performance in clinical disease diagnosis.Based on this,this paper traced the technological development history of dPCR,gave an overview of its application in detection of tumors,infections and other diseases,and further discussed the challenges and opportunities of the development of dPCR,with the aim of providing a reference for the development and utilization of dPCR in the future,and promoting the high-quality development of molecular technology in clinical testing.

Field effect transistor(FET)biochemical sensors show great potential in the fields of environmental monitoring,food safety,disease diagnosis and clinical treatment due to their low noise,low power consumption,label-free,easy integration and miniaturization characteristics.Two-dimensional(2D)materials,as a new generation of channel materials for FET biochemical sensors,have atomic-level thickness,high carrier mobility,high specific surface area and tunable bandgap,which can further improve the performance of FET biochemical sensors,extend their application areas,and promote the rapid development of FET biochemical sensors.This review focused on the development and latest progress of 2D material-based FET biochemical sensors,along with the challenges and prospects of 2D material-based FET biochemical sensors,which aimed to provide new device design conceptions and promote the further development of biochemical sensing technology.

Cervical lymph node metastasis in thyroid cancer is closely related to the disease recurrence and prognosis of patients. Accurate judgment of lymph node metastasis is vital for tumor stage and treatment in patients with thyroid cancer, which can effectively improve the prognosis of patients. However, preoperative detection of cervical lymph node metastasis is the key points and difficulties in individualized treatment of thyroid cancer. Currently, fine needle aspiration washout fluid thyroglobulin is often used to assess cervical lymph node metastasis of differentiated thyroid cancer preoperatively, and it has a higher diagnostic efficacy. The continuous exploration and application of tumor markers and emerging biomarkers have provided new perspectives for the preoperative diagnosis of lymph node metastasis in thyroid cancer. As a new non-invasive detection technique, liquid biopsy is convenient to obtain samples and has broad clinical application in early diagnosis of cervical lymph node metastasis of thyroid cancer. In addition, the analysis and application of liquid biopsy biomarkers will help the development of clinical diagnosis and treatment strategies, and provide the possibility of early precision therapy for thyroid cancer patients. This review summarizes current research surrounding the molecular markers related to cervical lymph node metastasis of thyroid cancer.

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 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 explain the pharmacodynamic substances of Aurantii Fructus flavonoids that exert anti-inflammatory and analgesic effects using a structure-activity omics approach. MethodOn the basis of the previous in vitro pharmacological screening conducted by the research team， an in vivo pharmacological study of Aurantii Fructus flavonoids was carried out. Core targets of the anti-inflammatory and analgesic active components of flavonoids of Aurantii Fructus were identified using various network databases， including the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， the Online Mendelian Inheritance in Man （OMIM）， and the Search Tool for the Retrieval of Interacting Genes/Proteins （STRING）. Computer-aided virtual screening technology was used to dock different types of Aurantii Fructus flavonoids with core targets. The key core targets with high binding activity were selected based on the comprehensive scores of each target and the active structures. Using these targets as bridges， the structures of one or more types of chemical components in Aurantii Fructus were closely linked to pharmacological effects. The structure-activity relationship between the clear pharmacodynamic compounds and their effects was explored through the binding patterns of various structures with pharmacodynamic targets. ResultAurantii Fructus flavonoids demonstrated significant anti-inflammatory and analgesic effects on dextran sulfate sodium （DSS）-induced colitis in mice， which could improve symptoms and significantly reduce the levels of inflammatory factors interleukin-6 （IL-6） and interleukin-1β （IL-1β）（P<0.05）. Twelve active components of Aurantii Fructus flavonoids were identified and categorized into nine dihydroflavonoids and three flavonoids based on their structures of the parent nuclei. Through Venn analysis， 167 anti-inflammatory and analgesic targets for Aurantii Fructus were identified. Based on degree value and molecular docking comprehensive scores， prostaglandin-endoperoxide synthase 2（PTGS2） and mitogen-activated protein kinase 3（MAPK3） were selected for further structural analysis. Structural analysis revealed that components containing glycoside structures exhibited higher binding activity with anti-inflammatory and analgesic targets. ConclusionThis study utilized a structure-activity omics approach based on in vivo pharmacodynamic experiments to analyze the material basis of the anti-inflammatory and analgesic effects of Aurantii Fructus flavonoids. The structure-activity omics approach provides new ideas and methods for elucidating the pharmacodynamic substances of Chinese medicine.