ObjectiveBased on ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， the combination of serum pharmacochemistry， response profile of absorbed components in serum， network pharmacology and drug-likeness prediction was used to screen the potential active ingredients of Yanghetang against breast cancer. MethodsUPLC-Q-TOF-MS/MS was used to identify the main components in different solvent extracts of Yanghetang， and serum pharmacochemistry was applied to analyze the absorbed components from the serum of female SD rats after 0.5， 1， 2 h of administration. Combined with the response characteristic values of serum drug components obtained from UNIFI 1.8.2， the absorbed prototype components and metabolites were screened to get the absorbed components of Yanghetang with a significant patterns of elimination and growth. Network pharmacology was applied to construct a drug-component-pathway-target-disease network， and molecular docking was performed between absorbed components and key targets of breast cancer， and the drug similarity was analyzed by SwissADME. ResultsForty-two compounds were identified in Yanghetang samples extracted with different solvents， of which 16 compounds were common to the three different extraction solvents（methanol， 50% methanol and water）. The results of drug-containing serum analysis showed that there were 16 absorbed components in serum， including 5 prototypes and 11 metabolites. Network pharmacology results showed that Yanghetang against breast cancer involved 15 key targets such as proto-oncogene tyrosine-protein kinase Src（SRC）， epidermal growth factor receptor（EGFR） and phosphoinositide 3 kinase catalytic alpha polypeptide（PIK3CA）. Molecular docking results showed that 16 potential active ingredients were well combined with the predicted targets. Combined with drug likenesses， 12 compounds in the absorbed components of Yanghetang were considered to have potential for anti-breast cancer activity， mainly including α-pinene and γ-eudesmol and their metabolites， of which one was from Ephedrae Herba， one was from Rehmanniae Radix， and eight were from Cinnamomi Cortex. ConclusionThe chemical components of Yanghetang mainly include polysaccharides， monoterpene glycosides and coumarins， and its prototype components mainly undergo oxidation， hydrolysis and acetylation after entering the blood. Its anti-breast cancer mechanism may be related to the regulation of signaling pathways such as the mitogen-activated protein kinase（MAPK） and phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt）. The results of this study can lay a foundation for further exploration of Yanghetang in the treatment of breast cancer.

OBJECTIVE To explore the main factors influencing the blood concentration of duloxetine， and provide a scientific basis for the individualized use of duloxetine. METHODS Retrospective analysis was conducted on 434 inpatients with depressive disorders at the First Hospital of Hebei Medical University， who were treated with duloxetine and underwent blood concentration monitoring between January 2022 and April 2024. The study examined the impact of various factors， including gender， age， body mass index （BMI）， gene phenotypes， combined medication， drug type （original/generic）， and genotyping results of gene single nucleotide polymorphism loci， on blood concentration and the concentration-to-dose （C/D） after dose adjustment. RESULTS The blood concentration of duloxetine was 76.65 （45.57， 130.31） ng/mL， and C/D was 0.96 （0.63， 1.60） ng·d/（mL·mg）. The blood concentration of duloxetine was positively correlated with the daily dose of administration （R2＝0.253 7， P＜0.001）. Blood concentration of duloxetine in 38.94% of patients exceeded the recommended range specified in the guidelines. Gender， age， BMI， combined use of CYP2D6 enzyme inhibitors， and CYP2D6 and CYP1A2 phenotypes had significant effects on C/D of duloxetine （P＜0.05）. CONCLUSIONS The patient’s age， gender， BMI， combined medication， and genetic phenotypes are closely related to the blood concentration of duloxetine.

Objective: To investigate the incidence trend and epidemic characteristics of notifiable infectious diseases in Nanjing City from 2004 to 2022, so as to provide the basis for improving the prevention, control, and monitoring strategies of infectious diseases. Methods: Data pertaining to notifiable infectious diseases reported in Nanjing City from 2004 to 2022 were retrieved from the Infectious Disease Surveillance System of Chinese Disease Prevention and Control Information System. Infectious diseases were classified by law and transmission routes. Temporal distribution incidence of notifiable infectious diseases were descriptively analyzed. The trends in incidence of notifiable disease were analyzed using annual percent change (APC) and average annual percent change (AAPC). Results: A total of 33 types of notifiable infectious diseases with 505 275 cases were reported in Nanjing City from 2004 to 2022. The average annual reported incidence was 347.45/105, showing a decreasing trend from 2018 to 2022 (APC=-13.499%, P<0.05), and there was no significant trend overall (AAPC=-1.586%, P>0.05). A total of 203 235 cases of 25 types of class A and B notifiable infectious diseases were reported, with an average annual reported incidence of 139.75/100 000, showing an overall decreasing trend (AAPC=-4.954%, P<0.05). Eight types of class C notifiable infectious diseases with 302 042 cases were reported, with an average annual reported incidence of 207.69/100 000. The reported incidence showed an increasing trend from 2004 to 2018 (APC=10.117%, P<0.05), and a decreasing trend from 2018 to 2022 (APC=-27.467%, P<0.05). There was no trend overall (AAPC=-0.360%, P>0.05). The reported incidence of blood-borne and sexually transmitted infectious diseases was the highest in class A and B infectious diseases, with an average annual reported incidence of 69.88/100 000, which was at a high epidemic level throughout the year, except February. The reported incidence of respiratory infectious diseases was 51.30/100 000, with a high reported incidence in April and December. The reported incidence of intestinal infectious diseases was the highest (178.06/100 000) in class C infectious diseases, with a high reported incidence in June and November. Conclusions The reported incidence of notifiable infectious diseases in Nanjing City was generally stable from 2004 to 2022. The peak incidence of respiratory infectious diseases occurred in winter and spring, and that of intestinal infectious diseases was in summer and autumn. It is necessary to strengthen the surveillance and intervention of blood-borne and sexually transmitted infectious diseases, respiratory infectious diseases, and intestinal infectious diseases to reduce the risk of infectious diseases.

Drug administration via hollow microneedles (HMN) have the advantages of painlessness, avoidance of first-pass effect, capability of sustained infusion, and no need for professional personnel operation. In addition, HMN can also be applied in the fields of body fluid extraction and biosensors, showing broad application prospects. However, traditional manufacturing technologies cannot meet the demand for low-cost mass production of HMN, limiting its widespread application. This paper reviews the main manufacturing technologies used for HMN in recent years, which include photolithography and etching, laser etching, sputtering and electroplating, micro-molding, three-dimensional (3D) printing and drawing lithography. It further analyzes the characteristics and limitations of existing manufacturing technologies and points out that the combination of various manufacturing technologies can improve production efficiency to a certain extent. In addition, this paper looks forward to the future trends of HMN manufacturing technology and proposes possible directions for its development. In conclusion, it is expected that this review can provide new ideas and references for follow-up research.
Printing, Three-Dimensional ; Needles ; Humans ; Drug Delivery Systems/methods* ; Equipment Design ; Microinjections/methods*

Hepatic stellate cells (HSCs) are the primary fibrogenic cells in the liver, and their activation plays a crucial role in the development and progression of hepatic fibrosis. Here, we report that retinoid X receptor-alpha (RXRα), a unique member of the nuclear receptor superfamily, is a key modulator of HSC activation and liver fibrosis. RXRα exerts its effects by modulating calcium/calmodulin-dependent protein kinase kinase β (CaMKKβ)-mediated activation of AMP-activated protein kinase-alpha (AMPKα). In addition, we demonstrate that K-80003, which binds RXRα by a unique mechanism, effectively suppresses HSC activation, proliferation, and migration, thereby inhibiting liver fibrosis in the CCl₄ and amylin liver NASH (AMLN) diet animal models. The effect is mediated by AMPKα activation, promoting mitophagy in HSCs. Mechanistically, K-80003 activates AMPKα by inducing RXRα to form condensates with CaMKKβ and AMPKα via a two-phase process. The formation of RXRα condensates is driven by its N-terminal intrinsic disorder region and requires phosphorylation by CaMKKβ. Our results reveal a crucial role of RXRα in liver fibrosis regulation through modulating mitochondrial activities in HSCs. Furthermore, they suggest that K-80003 and related RXRα modulators hold promise as therapeutic agents for fibrosis-related diseases.

The polymerase 1 and transcript release factor (PTRF)-cytoplasmic phospholipase A2 (cPLA2) phospholipid remodeling pathway facilitates tumor proliferation in glioma. Nevertheless, blockade of this pathway leads to the excessive activation of oncogenic receptors on the plasma membrane and subsequent drug resistance. Here, CD26/dipeptidyl peptidase 4 (DPP4) was identified through screening of CRISPR/Cas9 libraries. Suppressing PTRF-cPLA2 signaling resulted in the activation of the epidermal growth factor receptor (EGFR) pathway through phosphatidylcholine and lysophosphatidylcholine remodeling, which ultimately increased DPP4 transcription. In turn, DPP4 interacted with EGFR and prevented its ubiquitination. Linagliptin, a DPP4 inhibitor, facilitated the degradation of EGFR by blocking its interaction with DPP4. When combined with the cPLA2 inhibitor AACOCF3, it exhibited synergistic effects and led to a decrease in energy metabolism in glioblastoma cells. Subsequent in vivo investigations provided further evidence of a synergistic impact of linagliptin by augmenting the sensitivity of AACOCF3 and strengthening the efficacy of temozolomide. DPP4 serves as a novel target and establishes a constructive feedback loop with EGFR. Linagliptin is a potent inhibitor that promotes EGFR degradation by blocking the DPP4-EGFR interaction. This study presents innovative approaches for treating glioma by combining linagliptin with AACOCF3 and temozolomide.

OBJECTIVE To explore the pharmacodynamic related substances and mechanism of Weining San(WNS) against gastric ulcer(GU) according to fingerprint and network pharmacology. METHODS Twelve batches of WNS fingerprints were established by HPLC, and methodological investigation was carried out. Combined with reference substances, characteristic peaks were identified, pharmacodynamic related substances were screened, and network pharmacological analysis was carried out. Using TCMIP and Swiss Target Prediction database to retrieve component targets; Using OMIM, GeneCards and Drugbank databases to retrieve GU disease targets, taking the intersection targets of components and diseases, using String database to construct protein-protein interaction network diagram, and analyzing topological parameters; Using Cytoscape 3.8.2 software to construct "component-disease-target" network diagram; GO and KEGG enrichment analysis of intersection targets were carried out by Metascape website. Then the alcoholic GU mouse model was established by intragastric administration of absolute ethanol to verify the results of network pharmacology prediction. RESUITS　The precision, stability and repeatability of HPLC fingerprint method were good. By comparison and comprehensive analysis of control substances, notoginsenoside R1, ginsenoside Rg1, militarine, ginsenoside Rb1, schisandrin, schisandrol B, deoxyschizandrin and schisantherin A were identified as pharmacodynamic related substances in WNS, which may play their role by regulating core targets such as AKT1, IL-6, STAT3, TNF, IL1B and key signal pathways such as PI3K-Akt and JAK-STAT. The gastric ulcer index, ulcer inhibition rate and HE staining showed that WNS could improve gastric mucosal injury in GU mice. The results of ELISA, WST-1 and TBA showed that WNS could decrease the levels of TNF-α, IL-6, IL-1β and MDA, and increase the levels of SOD and PGE2, suggesting that the anti-GU effect of WNS was related to the inhibition of inflammatory reaction and oxidative stress mechanism, which further verified the prediction of network pharmacology. CONCLUSION This study combines fingerprint analysis, network pharmacology, and animal experimental validation to explore the pharmacodynamic related substances and mechanisms of WNS anti-GU efficacy, providing reference for quality control and clinical research of WNS.

Objective:To evaluate the effect of preemptive analgesia with ibuprofen on postoperative pain following single posterior tooth implantation, aiming to provide a clinical reference for its application.Methods:A multicenter, randomized, double-blind, placebo-controlled parallel-group trial was conducted. A total of 82 participants were included in the trial, meeting the eligibility criteria from April 2022 to April 2024 at the Capital Medical University School of Stomatology (40 cases), Beijing TianTan Hospital, Capital Medical University (22 cases), Beijing Chao-Yang Hospital, Capital Medical University (20 cases). Participants were randomly assigned in a 1∶1 ratio to either the ibuprofen group or the control group, with each group comprising 41 individuals. Participants in the ibuprofen group received 300 mg of sustained-release ibuprofen capsules orally 15 min before surgery, while the control group received a placebo. Both groups received the same postoperative analgesic regimen for 3 days. Pain scores were assessed using the numerical rating scale at 30 min, 4 h, 6 h, 8 h, 24 h, 48 h, and 72 h postoperatively, and the additional use of analgesic medication was recorded from days 4 to 6 postoperatively.Results:A total of 82 participants were initially enrolled in the study, with 7 dropouts (4 from the control group and 3 from the ibuprofen group), resulting in 75 participants (37 in the control group and 38 in the ibuprofen group) completing the trial. There were no reports of adverse events such as nausea or vomiting among the participants. The ibuprofen group exhibited significantly lower pain scores at 4 h, 6 h and 8 h [1.0 (0.0, 2.0), 1.0 (0.0, 2.0), 1.5 (0.0, 3.0) ] postoperatively compared to the control group 4 h, 6 h and 8 h [2.0 (1.0, 3.0), 3.0 (1.5, 4.0), 2.0 (1.0, 4.0)] ( Z=-1.99, P=0.047; Z=-3.01, P=0.003; Z=-2.10, P=0.036). The proportions of patients requiring additional analgesic medication between days 4 and 6 post-surgery were 18.4% (7/38) in the ibuprofen group and 27.0% (10/37) in the control group, with no significant difference (χ 2=0.79, P=0.373). The median additional medication usage postoperatively was [0.0 (0.0, 0.0) pills] in the ibuprofen group and [0.0 (0.0, 1.0) pills] in the control group, with no significant difference ( Z=-0.78, P=0.439). Conclusions:Preemptive analgesia with ibuprofen effectively reduces postoperative pain following tooth implantation, representing a safe and effective perioperative pain management strategy.

Objective:To explore the operational accuracy and operative time of oral surgery robot-assisted endodontic microsurgery on a head-simulator for clinical reference.Methods:Three pairs of surgical simulation models were set up on head-simulator. Each model included 10 positions anteriorly and posteriorly, 20 teeth for each technique, for a total of 60 teeth. An attending physician with more than 3 years clinical experience in endodontic microsurgery completed fixed-point osteotomy and apicoectomy in three groups of endodontic microsurgery under freehand (FH), static navigation (SN), and surgery robot (SR). The duration of each operation was recorded. Cone-beam CT was taken before the operation and the surgical path was planned in the software; after surgery, a plug gauge (precision gauge for measuring hole dimensions) was inserted into the surgical path for intraoral scanning. Surgical accuracy (starting point, end point, and angular deviation) was assessed in all 3 groups, and surgery time was compared.Results:The deviation at the starting point and the end point, and angular deviation was (0.37±0.11), (0.37±0.10) mm, and 0.71°±0.17°in the SR group. The deviations in the SR group were significantly lower than those in the SN group [(0.59±0.14), (0.65±0.18) mm, and 2.64°±0.75°] ( P<0.05), and both groups were significantly lower than the FH group [(1.37±0.31), (1.10±0.21) mm, and 9.84°±3.15°] ( P<0.05). The operative time in the SN group [(1.20±0.03) min] was significantly less than that in the SR group [(2.18±0.03) min] ( P<0.05), and both groups were significantly less than that in the FH group [(8.70±3.15) min] ( P<0.05). Starting point deviation, end point deviation, and angular deviation [(1.09±0.10), (0.90±0.07) mm, 7.22°±1.13°] in anterior teeth using the FH was significantly lower than the starting deviation, endpoint deviation, and angular deviation [(1.65±0.14), (1.30±0.06) mm, 12.46°±2.10°] in the posterior teeth using FH ( P<0.05), and the operative time in the anterior teeth using the FH [(5.75±0.57) min] was significantly less than that in the posterior teeth using [(11.65±1.14) min] ( P<0.05). The difference in accuracy and operative time between using SN and SR on anterior and posterior teeth was not statistically significant ( P>0.05). Conclusions:Oral surgery robot-assisted endodontic microsurgery helps improving the accuracy of clinicians′ operations and shorten the operation time.