OBJECTIVE To introduce the development of an intelligent prescription review decision-support system for anti-tumor drugs and assess its clinical application outcomes. METHODS Relevant data sources， including national and local pharmaceutical administration policies， clinical practice guidelines/consensus， hospital information systems data， and genetic testing results， were integrated. Adhering to the principles of structure， standardization and dynamic updating， a knowledge base covering chemotherapeutic， targeted and immunotherapeutic agents was constructed using a dual-dimensional modeling approach that combined “drug attributes” and “clinical contexts”. This knowledge base was then embedded into the hospital’s electronic medical order system to establish the prescription review decision-support system. The application and performance of the system were evaluated at Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. RESULTS A knowledge base containing 18 318 prescription review rules for anti-tumor drugs was constructed， and a closed-loop prescription review system was successfully established， encompassing pre-prescription real-time intervention， in-process interactive review， and post-prescription evaluation and analysis. From 2021 to 2024， the system generated a total of 57 879 alerts for prescriptions of five typical categories of anti-tumor drugs. For platinum-containing prescriptions， 22 577 alerts were generated， with Cisplatin for injection （lyophilized） being the most frequently alerted drug （13 445 alerts）， and “ototoxicity risk due to combined use” alerts remained high （7 682 alerts）. For methotrexate-containing prescriptions， 3 721 alerts were recorded， primarily related to “precaution-related issues” （76.4%， 2 843/3 721）. For doxorubicin-containing prescriptions， 17 301 alerts were triggered， primarily related to “dosage and administration” （14 315 alerts）. For human epidermal growth factor receptor 2-targeted agents-containing prescriptions， 1 007 alerts were issued， mostly related to “reimbursement restrictions” （956 alerts）. For programmed death-1/programmed death-ligand 1 inhibitors-containing prescriptions， the alerts increased year by year， totaling 13 273 alerts， primarily related to “inappropriate indication” （9 118 alerts）. Over the 4 years， the physician response rates to system alerts were 21.4%， 27.1%， 33.5% and 51.6%， respectively. CONCLUSIONS An intelligent decision-support system for anti-tumor drug prescription review， encompassing a closed-loop process of “real-time pre-event intervention， interactive in-event prescription review， post-event evaluation and analysis”， has been successfully constructed and implemented throughout the entire workflow. There is a discernible trend in this hospital， where the focus on monitoring anti-tumor drugs is shifting towards immunotherapy drugs. Additionally， the acceptance rate of physicians regarding prescription review opinions has been steadily increasing year by year.

ObjectiveThis study employs a special conformational engineering (CE) technology to construct an α-chymotrypsin-like active center, which includes a catalytic triad, an oxyanion hole, and a substrate-binding site, on silver nanoparticles (AgNPs), thereby creating an AgNP-based artificial hydrolase with high catalytic activity. This study provides a new approach for the design of highly efficient artificial enzymes and enzyme-mimicking. MethodsAgNPs were chosen as the scaffold to build the an α-chymotrypsin-like active center. A special CE procedure enables the designed peptide, Triad5, to adopt an α‑helical conformation on AgNPs, with the key catalytic residues located on one side of the α-helix forming a catalytic active center with a catalytic triad, an oxyanion hole, and a substrate-binding site. The CE procedure consists of three steps, including conformation induction via trifluoroethanol (TFE), conformation stabilization on AgNPs via Ag-S bonds, and TFE removal via lyophilization. Circular dichroism (CD) spectra were used to confirm the formation and stabilization of the α-helix conformation. Mutations of the key residues combined with stopped-flow kinetic experiments were used to demonstrate the indispensability of each key residue and the synergistic effects among the catalytic triad, the oxyanion hole, and the substrate-binding site. ResultsCD spectra show that the designed Triad5 alone is in random coil conformation; when conjugated on AgNPs, Triad5 still remains largely unstructured; but after the CE treatment, Triad5 adopts a typical α-helical conformation on AgNPs as designed, thus produces an AgNP-based artificial hydrolase, Silverzyme. Silverzyme exhibits extremely high hydrolytic activity towards p-nitrophenyl acetate (p-NPA), with an extremely high catalytic turnover number per active site of 3.5 s^-1, which is even higher than that of α-chymotrypsin. As a comparison, the AgNP-Triad5 conjugate without CE treatment shows much lower catalytic activity than Silverzyme, highlighting the important role of the right conformation of the active center for the catalytic activity and the power of the CE treatment. When the key residues of the catalytic triad of Silverzyme were mutated to alanine, the overall catalytic efficiency of this mutant dropped by about 2 orders of magnitude, unambiguously demonstrating the key role of the designed catalytic triad. Similarly, when the residues for the oxyanion hole were deleted, the mutant with the intact catalytic triad also showed significantly decreased catalytic activity, highlighting the indispensable role of the oxyanion hole for the catalytic activity. Unexpectedly, when both the catalytic triad and the oxyanion hole were kept intact, a slight change of the binding site also resulted in significantly decreased catalytic activity, indicating that the designed binding site is at the right position to align the substrate in the right orientation in the active center for catalytic hydrolysis. These results confirm the synergy among the catalytic triad, the oxyanion hole, and the substrate-binding site, indicating successful mimicking of the active center of α-chymotrypsin. Moreover, Silverzyme shows better thermal stability than α-chymotrypsin, and can even hydrolyze the tough non-activated ester diethyl phthalate, a priority pollutant by the United States Environmental Protection Agency (USEPA). ConclusionThis study successfully mimicked the complex catalytic active center of α-chymotrypsin using a conformational engineering strategy, and produced a highly active artificial hydrolase with a well-defined structure and catalytic mechanism. The findings highlight the significant potential of conformational engineering.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective: To explore the metabolic molecular mechanism of regulatory T cells (Tregs) resisting ferroptosis under a hypoxic stress microenvironment, and to provide scientific support for finding intervention targets to improve the immune microenvironment of oral squamous cell carcinoma (OSCC). Methods: This study was approved by the Institutional Medical Ethics Committee. Multiplex immunofluorescence was used to detect the distribution of Tregs and the localization of hypoxic regions in clinical pathological specimens from patients with OSCC tissues. Animal experiments were approved by the Laboratory Animal Ethics Committee. A tumor-bearing model was established in C57BL/6 mice. The submandibular, subscapular, inguinal, and popliteal lymph nodes were collected along with the spleen, and were homogenized to prepare single cell suspensions. C57BL/6 mouse naive CD4⁺ T cells were induced to differentiate into Tregs in vitro, and a 1% hypoxic culture model was established. Normoxia and hypoxia groups were established, and Treg viability under hypoxic conditions was assessed by flow cytometry. Transcriptomics and metabolomics were applied to analyze differentially expressed genes, metabolic pathways, and changes in cholesterol metabolites. Western blot was performed to detect the expression of emopamil-binding protein (EBP), glutathione peroxidase 4 (GPX4), ferroptosis suppressor protein 1 (FSP1), and acyl-CoA synthetase long-chain family member 4 (ACSL4). The safe concentration of the EBP inhibitor TASIN-30 was determined by the CCK-8 assay. On this basis, four groups were established: normoxia control, hypoxia, hypoxia+TASIN-30, and hypoxia+TASIN-30+7-dehydrocholesterol (7-DHC). Treg viability in each group was measured by flow cytometry; intracellular Fe2+ content, lipid peroxidation level, and reactive oxygen species (ROS) accumulation were detected by cellular immunofluorescence and flow cytometry; the reduced/oxidized glutathione (GSH/GSSG) ratio was measured using a microplate reader; and mitochondrial morphology was observed by transmission electron microscopy. In vivo tumor-inhibition experiments in C3H/HeJ mice were performed to validate the in vivo effects of EBP inhibition, and clinical prognostic survival analysis based on the TCGA-HNSC cohort was performed to evaluate the clinical prognostic value of ferroptosis resistance in Tregs. Results: Tregs were highly enriched in OSCC tissue, preferentially accumulated in hypoxic areas, and could maintain cell survival under hypoxia. The cholesterol metabolism pathway was upregulated in the hypoxic group, with increased EBP mRNA expression (P < 0.001) and 7-DHC accumulation. Compared with the hypoxic group alone, the hypoxic + TASIN-30 group showed decreased GPX4 and FSP1 expression (P < 0.001, P = 0.003); increased ACSL4 expression (P < 0.001); a decreased viable cell ratio (P < 0.001); increased Fe2+, lipid peroxidation, and ROS levels (P < 0.001); a decreased GSH/GSSG ratio (P < 0.001); and mitochondrial shrinkage. Exogenous supplementation of 7-DHC reversed the effects of EBP inhibition. In vivo inhibition of EBP significantly inhibited tumor growth (P < 0.001). Conclusion Tregs upregulate EBP and promote 7-DHC accumulation in hypoxic microenvironments, thereby inhibiting Treg ferroptosis and maintaining their survival and immunosuppressive function. Inhibition of EBP can weaken the resistance of Tregs to ferroptosis under hypoxia.

Due to the poor ionization efficiency and the weak mass spectrometry(MS)intensity of weakly polar substances,direct analysis using the traditional electrospray ionization mass spectrometry(ESI-MS)is a big challenge.In this study,a novel rapid on-site detection method of four prohibited sex hormones in cosmetics was proposed using online derivatization strategy coupled with a miniature mass spectrometer.The target substances in the samples were extracted by a custom-made polyaniline/multi-walled carbon nanotube solid-phase microextraction(SPME)probe.The stirring speed was 200 r/min,the extraction temperature was 40℃,and the extraction time was 2 min.A pulled dual-channel θ borosilicate glass capillary emitter was used as the nano-ESI ion source.The SPME probe was inserted into the channel containing methanol in theθborosilicate glass capillary.When the spray voltage was applied,the four sex hormones were desorbed and formed spray microdroplets,which then collided with the hydroxylamine microdroplets generated from the other channel.The microdroplets of reaction product entered into the miniature mass spectrometer for direct analysis.The limits of detection(LOD)and limits of quantification(LOQ)for the four sex hormones were 10-20 ng/mL and 20-50 ng/mL,respectively.The recoveries were from 84.6%to 107.8%with the relative standard deviations(RSD)from 4.1%to 11.6%.Compared to detection without derivatization,the MS signals of the four target substances were increased by 3 to 15 times.This method was simple,rapid,highly efficient and sensitive,and suitable for on-site rapid analysis of weakly polar sex hormones in cosmetics.

Nitrofurazone(NFZ)is an antibiotic that is used as a veterinary drug in aquaculture.NFZ abuse can lead to a series of environmental and health issues,making it crucial to establish a rapid and highly sensitive method for NFZ detection.In this study,platinum nanoparticle(PtNPs)-loaded zeolitic imidazolate framework(ZIF-8)was used as a precursor,and PtNPs functionalized nitrogen doped porous carbon(NC)was obtained through pyrolysis.Pt@NC was combined with multi-walled carbon nanotubes(MWCNTs)and cast onto a glassy carbon electrode(GCE)surface to construct an electroch-emical sensor.Electrochemical tests revealed that Pt@NC/WCNT/GCE exhibited an electrochemical active area of 0.066 cm2 and a heterogeneous electron transfer rate constant(k0)of 2.03×10-3 cm/s,which were higher than other materials.Compared with the electrodes modified by other materials,the NFZ generated the highest peak current of irreversible reduction peak on the Pt@NC/WCNT/GCE electrode.In comparison with Pt@ZIF-8/WCNT/GCE,after pyrolysis and carbonization treatment,the reduction current of NFZ increased by 2.19 times,and the reduction peak potential shifted positively by 19 mV simultaneously.When compared with NC/WCNT/GCE,the PtNPs in the composite material enhanced the NFZ current by 4.25 times.Additionally,the experimental conditions for detecting NFZ using the sensor were optimized,including the carbonization temperature of Pt@ZIF-8,ratio of Pt@NC to CNT,loading amount of the modified material,and electrolyte pH.Under the optimized conditions,the sensor demonstrated a linear detection range for NFZ of 0.20-240 μmol/L,a sensitivity of 9.995 μA/((μmol/L)?cm2)and a limit of detection(LOD)of 0.06 μmol/L.The sensor exhibited excellent anti-interference capability,good reproducibility,and stability,with spiked recoveries for NFZ in water samples ranging from 94.6%to 105.6%.This study provided a novel electrochemical sensing approach for NFZ detection.

The academic literature on near-infrared brain functional imaging in the field of resuscitation medicine published in the Web of Science core collection,MEDLINE and PubMed databases from January 2006 to May 2025 were collected,which underwent statistical and visualized analyses with CiteSpace and VOSviewer software in terms of annual publication trends,authors,countries/regions,institutions,co-cited literature and keyword co-occurrence,clustering and emergence.It was pointed out that the overall number of publications in this research field had been on the rise in the past two decades.Stroke patients were the core research group in this field,and cortical activation mechanisms had always been the focus of research.Motor imagery was a high-frequency research content in this field,and multimodal technology integration was the trend of research in this field.New research ideas and methods were provided for relevent research in the field of rehabilitation medicine in China.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Background and purpose:As one of the first-line treatment methods for differentiated thyroid cancer(DTC),131I treatment is an important therapeutic approach for most patients with medium-high recurrence risk DTC after total or near-total thyroidectomy.Risk stratification and real-time dynamic assessment before 131I treatment after surgery are important steps in deciding on 131I treatment,enabling individualized treatment.This retrospective study aimed to explore the role of diagnostic whole body scan(DxWBS)in the decision-making of treatment for DTC after surgery and before 131I therapy.Methods:DTC patients who underwent pre-ablation evaluation were included.Patients were divided into low,medium and high sTg groups based on their pre-131I treatment stimulated thyroglobulin(sTg)levels(＜1 ng/mL,1 ng/mL≤sTg＜10 ng/mL,sTg≥10 ng/mL).The concordance rates of DxWBS and post treatment whole body scan(RxWBS)in each patient of the whole cohort were compared.The lesion detection rate between DxWBS and RxWBS in different sTg level groups was also explored.The"thyroid stunning effect"by DxWBS was evaluated by RxWBS.Through these analyses,the role of DxWBS in 131I treatment decision-making and its predicting treatment objectives were assessed.This study was approved by the Ethics Committee of Peking Union Medical College Hospital,Peking Union Medical College,Chinese Academy of Medical Sciences(ethics number:JS-2151).Results:A total of 91 patients were included.The low,medium and high sTg groups accounted for 15.4%(14/91),34.1%(31/91)and 50.5%(46/91)of the patients,respectively.Comparison of DxWBS and RxWBS results in the same patients in each sTg group showed no evidence of a stunning effect on 131I treatment.The overall concordance rate between DxWBS and RxWBS was 89.0%(81/91);In different sTg level groups was 100.0%(14/14),90.3%(28/31),84.8%(39/46)respectively.Taking sTg levels into consideration,DxWBS accurately predicted the need for total thyroidectomy,with a 100%(20/20)agreement with RxWBS.Among the 71 patients who received adjuvant therapy and/or remnant ablation due to suspected elevated Tg or high recurrence risk stratification or the iodine-avid metastatic lesions identified by DxWBS,87.5%(63/71)showed only residual thyroid tissue by DxWBS;Through the purpose verification by RxWBS and single photon emission computed tomography(SPECT)/CT,only 12.7%(9/71)of cases were verified as adjuvant or tumoricidal treatment due to iodine-avid cervical lymph node and/or lung metastasis identified by RxWBS,87.3%(62/71)were residual thyroid ablation.In the medium and high sTg group,the overall detection rate of functional cervical lymph node metastasis by DxWBS and RxWBS was 5.5%(5/91).For the detection of functional lung metastases,the overall detection rate of DxWBS was slightly lower than that of RxWBS(3.3%vs 5.5%).This indicates that DxWBS can be used to accurately pre-judge the purposes of 131I treatment,particularly for thyroid ablation and adjuvant therapy.Conclusion:DxWBS did not induce"thyroid stunning"effect.Integrating DxWBS as a theranostic tool into the real-time decision-making and evaluation system of 131I treatment,as well as with sTg and other biochemical indicators,may help to bridge the limitations of static evaluations based on pathology and clinical data,and provides a clear understanding and more precise objectives of 131I treatment.

The academic literature on near-infrared brain functional imaging in the field of resuscitation medicine published in the Web of Science core collection,MEDLINE and PubMed databases from January 2006 to May 2025 were collected,which underwent statistical and visualized analyses with CiteSpace and VOSviewer software in terms of annual publication trends,authors,countries/regions,institutions,co-cited literature and keyword co-occurrence,clustering and emergence.It was pointed out that the overall number of publications in this research field had been on the rise in the past two decades.Stroke patients were the core research group in this field,and cortical activation mechanisms had always been the focus of research.Motor imagery was a high-frequency research content in this field,and multimodal technology integration was the trend of research in this field.New research ideas and methods were provided for relevent research in the field of rehabilitation medicine in China.