BackgroundMonitoring the blood concentrations of antipsychotic drugs and their metabolites can guide the adjustment of clinical treatment plans， improving therapeutic efficacy while reducing adverse effects. However， there is currently a lack of a method that can accurately and efficiently quantitatively detect multiple antipsychotic drugs and their metabolites. ObjectiveTo establish a ultra-high performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） method for the simultaneous identification and quantitation of 12 antipsychotic drugs and their main metabolites in human serum. MethodsUsing UPLC-MS/MS technology， protein precipitation method was employed for sample pretreatment. An Agela Technologies Durashell C₈ chromatographic column （50 mm×3.0 mm， 5 μm） was selected for chromatographic separation with gradient elution. The flow rate was 0.4 mL/min， and the total analysis time was 5 minutes. The column temperature was 40℃. The mass spectrometry detection was carried out in the multiple reaction monitoring （MRM） mode， and the isotope internal standard method was used for quantification. ResultsThe relative standard deviation （RSD） of the internal standard normalization matrix effect factor for 12 antipsychotic drugs and their main metabolites at low and high quality concentrations was all less than 15%. The extraction recovery rate was 85% to 115%. They showed good linear relationships within their respective standard curve ranges （r>0.995）. At low， medium， and high quality concentrations， the accuracy was 85.24% to 114.71%， and the RSD of intra-batch and inter-batch precision was all ≤14.15%， with good stability. ConclusionAll the analytical performance indicators of this method meet the verification requirements， providing an analytical means for the quantitative detection of antipsychotic drugs and their main metabolites in human serum. ［Funded by The Third Batch of Science and Technology Projects in Chaozhou City in 2023 （number， 202303GY02）］

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

ObjectiveBiochemistry and Molecular Biology, a discipline that elucidates life phenomena at the molecular level, serves as a core foundational course in medical education. It provides the theoretical basis for studying other basic and clinical medical subjects, as well as for understanding pathogenesis, disease diagnosis, and treatment. However, its complex content and highly abstract concepts have posed a dual challenge to traditional teaching models: “inefficient instruction” and “inadequate learning outcomes”. Within limited classroom hours, how to engage students and stimulate their intrinsic motivation, and how to help them recognize, understand, and develop a passion for biochemistry from the perspective of the discipline’s essence, have long been key focuses of curriculum research. MethodsUsing the lipid metabolism chapter as an example, this study employs “Rain Classroom”, a generative artificial intelligence (AI)-assisted platform, to support education in four dimensions: teaching, learning, evaluation, and research. In teaching, it assists instructors through virtual experiments, lesson preparation support, knowledge mapping, and assignment design. For learning, it serves as an intelligent study assistant for students, providing automated assignment review, enabling educational resource sharing, and facilitating personalized learning pathways. In evaluation, the platform automates assignment grading, analyzes student performance data, and offers diagnostic feedback and teaching recommendations. In research, it aids educators in collecting and analyzing teaching data, as well as searching for and summarizing relevant literature. ResultsThe results indicate that an educational model integrating teacher-led instruction, student-centered learning, and generative AI assistance significantly enhances teaching quality, students’ self-directed learning abilities, and knowledge mastery. Furthermore, with the support of generative AI, curriculum-based ideological education—focusing on cutting-edge disciplinary advances and topical medical issues—helps cultivate students’ medical spirit of “honoring life and healing the wounded”, thereby fostering the establishment of appropriate professional values. Finally, while generative AI presents both opportunities and challenges for higher education, this study also analyzes potential risks in its teaching applications, emphasizing the need for both instructors and students to avoid over-reliance and to ensure that technological tools consistently serve the fundamental goals of education. ConclusionThis study demonstrates that integrating generative AI, specifically via the “Rain Classroom” platform, can effectively enhance biochemistry education. By supporting teaching, learning, evaluation, and research, this approach improves both educational effectiveness and student outcomes. It also facilitates the incorporation of cutting-edge knowledge and professional ethics, nurturing a patient-centered mindset. Additionally, the study addresses potential implementation risks to ensure that such technological tools remain aligned with the core purpose of education.

Objective We reviewed and analyzed the epidemiological data of 83 imported dengue fever cases reported in Fengtai District, Beijing, from 2007 to 2025, to delineate their epidemiological characteristics and guide the dengue fever prevention and control strategy in the future. Methods Data on dengue fever cases in Fengtai District from 2007 to 2025 were collected to identify the epidemic factors and characteristics using descriptive epidemiological method. Results All 83 dengue fever cases reported in this region over the past two decades have been imported from abroad or other domestic areas, with Southeast Asian countries being identified as the primary source of imported infections, accounting for 42 cases (50.60%), followed by 15 cases (18.07%) from Chinese provinces other than Beijing. The remaining import sources included 13 cases from South Asia,8 from African countries, and each from Oceania, South America, and Europe. Disease onset was found concentrated between May and November. The sex ratio (male-to-female) is 1.59:1. The age of onset ranged from 14 to 61 years old, with a median age of 36. The largest proportion of cases was observed among cadres and office workers (31 cases, 37.35%), followed by businessmen (13 cases, 15.67%), and householders or the unemployed (10 cases,12.05%). Travel visit was identified as the primary reason for their exposure history. Conclusions All dengue fever cases reported in Fengtai from 2007 to 2025 were imported, with an increasing trend of imported cases in Beijing originating from other Chinese provinces. It is essential to strengthen health education for foreign travelers and returning residents, enhance clinical diagnosis and treatment training for medical personnel, eliminate mosquito breeding sites, and reduce mosquito density through active patriotic health campaigns.

Objective:To establish a preliminary performance validation protocol for the bioinformatics procedure of metagenomic next-generation sequencing (mNGS) in clinical laboratories.Methods:Three types of simulated datasets were designed and the CatⅠ dataset mainly consisted of pathogen reference genomes and human sequences. CatⅠA was a dataset composed of common pathogens mixed with human sequences and was used to evaluate the inclusiveness, accuracy, recall rates, precision, F1-Score, and other indicators of the mNGS bioinformatics procedure. CatⅠB was a dataset composed of closely related species of common pathogens mixed with human sequences, which was used to evaluate the discriminating ability of closely related species of bioinformatics procedure by calculating the detection rates and the relative abundance ratio of closely related species. The real data of 200 clinical samples was selected to construct CatⅡ and the simulated dataset consisted of colonized bacteria, experimental environment bacteria, reagent engineering bacteria, pathogen reference genomes, and human sequences, which was used to evaluate the sensitivity, specificity, and accuracy of bioinformatics pipeline for pathogens detection. The CatⅢ dataset was obtained from the negative bronchoalveolar lavage fluid BALF sequencing data mixed with 20 rare pathogens sequences in order to evaluate the positive detection rates and recall rates of rare pathogens in the bioinformatics analysis.Results:The analysis of the CatⅠA dataset showed that the positive consistency rate, inclusiveness, precision and accuracy of the bioinformatics peocedure under three sequence gradients were all greater than 99%, with a recall rate of 72.31% (95% CI 69.61%-75.01%) and a F1 Score of 82.00% (95% CI 79.77%-84.22%). In the CatⅠB dataset, the closely related species could be effectively detected at all sequence and proportion gradients, and the relative abundance ratio of closely related species was within 2 times of the design ratio except for the coronavirus, haemophilus, primate bocaparvovirus, human respiratory syncytial virus, and eimeria, indicating good ability to identify the closely related species. All the 24 species of pathogens included in CatⅡ dataset were effectively detected, with the sensitivity, specificity, and accuracy all greater than 90%. All rare pathogens were detected in the CatⅢ dataset, with a detection rate of 100%. Conclusions:With the simulated datasets, the performance validation scheme for the mNGS bioinformatics analysis was preliminary established and could evaluate the accuracy of sequence classification, the ability to identify the closely related species, and detection ability of common and rare pathogens, which may provide some references for the construction of mNGS process.

Objective:Utilizing the principles of mechanical vibrations dissections and low-temperature coagulation of harmonic scalpel, and combining the magnifying effect of 3D thoracoscopy and the advantage of low trauma, we used harmonic scalpel to harvest the left internal mammary artery (LIMA) under thoracoscopy, and explored the feasibility and early effect of harmonic scalpel in minimally invasive coronary artery bypass grafting (MICABG).Methods:A total of 488 patients who underwent MICABG from July 2021 to December 2023 in Dong E Hospital were collected. Among them, 347 patients was harvested using harmonic scalpel under thoracoscopy. Following anastomosis, the blood flow and pulsatility index (PI) from the graft to the target vessel were determined using a transit time flow meter (MiraQ, Medistim, Norway), and patency was checked. Data from 347 patients were analyzed.Results:All 347 patients were performed under non-extracorporeal circulation and successful graft patency was achieved in all patients. Analysis of 79 patients revealed a median time to LIMA acquisition of 32 min and a median length of acquisition of 15 cm. No graft-related events or complications occurred in any of the patients, and 2 patients died postoperatively. During a median follow-up of 12.1 months, only one patient experienced graft occlusion necessitating intervention.Conclusion:The utilization of harmonic scalpel for LIMA harvesting in MICABG is feasible and yields stable early results.

AIM To establish an HPLC method for the simultaneous content determination of 5-hydroxymethylfurfural,chlorogenic acid,caffeic acid,strychnine,paeoniflorin,ferulic acid,paeoniflorin Ⅰ,epimedium glycoside,psoralen,isopsoralen and glycyrrhetinic acid in Bunao Soft Capsules.METHODS The analysis was performed on a 35 ℃ thermostatic Waters Symmetry C18 column(250 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1％phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 230,280 nm.RESULTS Eleven constituents showed good linear relationships within their own ranges(r＞0.999 0),whose average recoveries were 98.47％-103.30％with RSDs of 1.13％-2.80％.CONCLUSION This simple and reliable method can be used for the quality control of Bunao Soft Capsules.

OBJECTIVE To investigate the improved anesthesia method of arytenoid cartilage reduction under general anesthesia in the treatment of arytenoid dislocation.METHODS The clinical data of 12 patients who underwent modified arytenoid cartilage reduction under general anesthesia in Beijing Tongren Hospital from July 2020 to March 2024 were retrospectively analyzed.To evaluate and analyze the modified anesthesia method of maintaining low degree of neuromuscular block during operation,the recovery of arytenoid cartilage movement and sound after operation.RESULTS All the 12 patients successfully completed arytenoid cartilage reduction.The articulation,arytenoid movement and glottis closure were improved significantly.Compared with the total voice handicap index(VHI),physical scores,functional scores and emotional scores before reduction,the scores at 1 month after surgery were significantly lower[83.5(75-91)vs.13(7-19),30.5(26.5-33)vs.5.5(3-7),25.5(22.5-29)vs.4(2-6),26(23.5-30)vs.4(1.5-6),P<0.001].No complications such as laryngeal spasm and laryngeal edema occurred during perioperative period.CONCLUSION Arytenoid cartilage reduction under modified general anesthesia has high safety,good patient cooperation and high reduction success rate.It provides a new option for the treatment of arytenoid dislocation.

Objective To construct an aptamer-functionalized carboxylated graphene oxide(CGO)fluo-rescent sensor to achieve highly sensitive and specific detection of ketamine(KET)and its metabolite norketamine(NK)using an aptamer capable of simultaneously recognizing KET and NK.Methods A specific aptamer for simultaneous recognition of KET and NK was screened using graphene oxide-sys-tematic evolution of ligand by exponential enrichment(GO-SELEX)and molecular docking tech-niques.The aptamer,labeled with Cy5 fluorescence,was chemically conjugated to CGO to construct an aptamer-functionalized CGO fluorescent sensor.By optimizing detection conditions,including the mass concentration of CGO,aptamer concentration,reaction temperature,and incubation time,quantita-tive analysis of the target analytes was achieved using the ratio of fluorescence intensity changes be-fore and after target addition.The stability of the sensor in biological matrices was evaluated by moni-toring fluorescence intensity changes over incubation time in blank blood and urine,in comparison with the traditional physical adsorption-based CGO fluorescent sensor.Spiked recovery experiments in blank blood and urine were conducted to compare performance with that of HPLC-MS/MS.Results A specific aptamer A5 was selected and chemically conjugated with CGO to construct the aptamer-functionalized CGO fluorescent sensor.Under optimized conditions,the proposed fluorescent sensor ex-hibited a linear detection range of 1.0-5.0 ng/mL for KET,with a limit of detection(LOD)of 0.86 ng/mL;while for NK,the linear detection range was 1.0-5.0 ng/mL,with an LOD of 0.70 ng/mL.Com-pared with the CGO fluorescent sensor constructed via physical adsorption,this sensor demonstrated greater stability in blood and urine.The spiked recovery rates of KET and NK in blank blood and urine ranged from 81.50%to 110.03%,exhibiting detection performance comparable to that of HPLC-MS/MS.Conclusion The aptamer screening method offers a novel approach for selecting aptamers tar-geting drugs and their metabolites.The constructed aptamer-functionalized CGO fluorescent sensor pro-vides an efficient and reliable strategy for the high-performance detection of KET and NK.

AIM:To investigate the effects of early high-fat diet(HFD)on cognitive function and hippocam-pal lipidomic profile in transgenic mice bearing five familial Alzheimer disease mutant genes(5×FAD).METHODS:Eight-week-old SPF grade female wild-type(WT)mice were used as the contorl group,and 5×FAD mice were randomly divided into model(5×FAD)group and 5×FAD+HFD group,with 10 mice in each group.The 5×FAD+HFD group was orally given high-fat chow and the remaining 2 groups were given control chow for 12 weeks,and the change in body weight of the mice were recorded.Y-maze and Morris water maze tests were performed to measure the learning memory ability of the mice.Serum total cholesterol(TC),triglyceride(TG),low-density lipoprotein cholesterol(LDL-C)and high-density lipoprotein cholesterol(HDL-C)levels were measured using a biochemical analyzer.Immunohistochemistry was per-formed to visualize amyloid β-protein(Aβ)plaques in brain tissues.Hippocampal levels of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),IL-6,and Aβ were measured by enzyme-linked immunosorbent assay(ELISA).Non-tar-geted lipidomic technology was used to measure the changes of hippocampal lipids.RESULTS:Compared with WT group,the mice in 5×FAD group lost significantly less weight(P<0.01)and spent significantly less time exploring the new arm of the Y-maze and the target quadrant of the water maze(P<0.05 or P<0.01).Brain Aβ plaques were significant-ly increased(P<0.01).Hippocampal levels of Aβ1-40,Aβ1-42,IL-1β and TNF-α were significantly elevated(P<0.05 or P<0.01).Compared with the 5×FAD group,the mice in the 5×FAD+HFD group showed significant increase in body weight(P<0.01)and time spent exploring the new arm of the Y-maze and the target quadrant of the water maze(P<0.01).Biochmeical analysis showed serum TC,LDL-C,HDL-C levels and HDL/TC ratio were significantly increased(P<0.05).Brain Aβ plaques were significantly reduced(P<0.05)and hippocampal Aβ1-40,Aβ1-42 and IL-1β levels were sig-nificantly decreased(P<0.05).Compared with the WT group,27 lipids were increased and 9 lipids were decreased in the 5×FAD group,involving the pathways such as cholesterol metabolism,fat digestion and absorption,regulation of lipolysis processes in adipocytes,and glycerophospholipid metabolism.Eighteen lipids were increased and 47 lipids were de-creased in the 5×FAD+HFD group compared to the 5×FAD group.Cardiolipin and TG were important lipids for separating the lipid profiles of the WT and 5×FAD groups,and TG was an important lipid for separating the lipid profiles of the 5×FAD and 5×FAD+HFD groups.Differential lipid enrichment analysis showed significant increase in TG lipid in the 5×FAD group compared with the WT group and significant decrease in TG lipid in the 5×FAD+HFD group compared with the 5×FAD group.CONCLUSION:Early HFD ameliorates cognitive function in 5×FAD mice by modifying TG metabolic disorder and attenuating neuroinflammation.