ObjectiveThis study proposes a novel single-cell protein localization method based on a class perception graph convolutional network (CP-GCN) to overcome several critical challenges in protein microscopic image analysis, including the scarcity of cell-level annotations, inadequate feature extraction, and the difficulty in achieving precise protein localization within individual cells. The methodology involves multiple innovative components designed to enhance both feature extraction and localization accuracy. MethodsFirst, a class perception module (CPM) is developed to effectively capture and distinguish semantic features across different subcellular categories, enabling more discriminative feature representation. Building upon this, the CP-GCN network is designed to explore global features of subcellular proteins in multicellular environments. This network incorporates a category feature-aware module to extract protein semantic features aligned with label dimensions and establishes a subcellular relationship mining module to model correlations between different subcellular structures. By doing so, it generates co-occurrence embedding features that encode spatial and contextual relationships among subcellular locations, thereby improving feature representation. To further refine localization, a multi-scale feature analysis approach is employed using the K-means clustering algorithm, which classifies multi-scale features within each subcellular category and generates multi-cell class activation maps (CAMs). These CAMs highlight discriminative regions associated with specific subcellular locations, facilitating more accurate protein localization. Additionally, a pseudo-label generation strategy is introduced to address the lack of annotated single-cell data. This strategy segments multicellular images into single-cell images and assigns reliable pseudo-labels based on the CAM-predicted regions, ensuring high-quality training data for single-cell analysis. Under a transfer learning framework, the model is trained to achieve precise single-cell-level protein localization, leveraging both the extracted features and pseudo-labels for robust performance. ResultsExperimental validation on multiple single-cell test datasets demonstrates that the proposed method significantly outperforms existing approaches in terms of robustness and localization accuracy. Specifically, on the Kaggle 2021 dataset, the method achieves superior mean average precision (mAP) metrics across 18 subcellular categories, highlighting its effectiveness in diverse protein localization tasks. Visualization of the generated CAM results further confirms the model’s capability to accurately localize subcellular proteins within individual cells, even in complex multicellular environments. ConclusionThe integration of the CP-GCN network with a pseudo-labeling strategy enables the proposed method to effectively capture heterogeneous cellular features in protein images and achieve precise single-cell protein localization. This advancement not only addresses key limitations in current protein image analysis but also provides a scalable and accurate solution for subcellular protein studies, with potential applications in biomedical research and diagnostic imaging. The success of this method underscores the importance of combining advanced deep learning architectures with innovative training strategies to overcome data scarcity and improve localization performance in biological image analysis. Future work could explore the extension of this framework to other types of microscopic imaging and its application in large-scale protein interaction studies.

OBJECTIVE: To explore the neuroprotective effects of Xuefu Zhuyu Decoction (XFZYD) based on in vivo and metabolomics experiments. METHODS: Traumatic brain injury (TBI) was induced via a controlled cortical impact (CCI) method. Thirty rats were randomly divided into 3 groups (10 for each): sham, CCI and XFZYD groups (9 g/kg). The administration was performed by intragastric administration for 3 days. Neurological functions tests, histology staining, coagulation and haemorheology assays, and Western blot were examined. Untargeted metabolomics was employed to identify metabolites. The key metabolite was validated by enzyme-linked immunosorbent assay and immunofluorescence. RESULTS: XFZYD significantly alleviated neurological dysfunction in CCI model rats (P<0.01) but had no impact on coagulation function. As evidenced by Evans blue and IgG staining, XFZYD effectively prevented blood-brain barrier (BBB) disruption (P<0.05, P<0.01). Moreover, XFZYD not only increased the expression of collagen IV, occludin and zona occludens 1 but also decreased matrix metalloproteinase-9 (MMP-9) and cyclooxygenase-2 (COX-2), which protected BBB integrity (all P<0.05). Nine potential metabolites were identified, and all of them were reversed by XFZYD. Adenosine was the most significantly altered metabolite related to BBB repair. XFZYD significantly reduced the level of equilibrative nucleoside transporter 2 (ENT2) and increased adenosine (P<0.01), which may improve BBB integrity. CONCLUSIONS XFZYD ameliorates BBB disruption after TBI by decreasing the levels of MMP-9 and COX-2. Through further exploration via metabolomics, we found that XFZYD may exert a protective effect on BBB by regulating adenosine metabolism via ENT2.
Animals ; Drugs, Chinese Herbal/therapeutic use* ; Blood-Brain Barrier/metabolism* ; Brain Injuries, Traumatic/metabolism* ; Adenosine/metabolism* ; Male ; Rats, Sprague-Dawley ; Rats

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Objective:To evaluate effect of diammonium glycyrrhizinate(DG)on lipopolysaccharide(LPS)-induced TLR4/NF-κB inflammatory signaling pathway in BV2 microglial cells and to explore its potential regulatory mechanisms on ameliorating neu-roinflammation.Methods:BV2 microglia injury model was induced by LPS and treated with 20 and 60 μmol/L DG.MTS was used to determine vitality of cells.NO level secreted by cells was detected by Griess.Inflammatory factors TNF-α,IL-6,and IL-1β levels in cell supernatant were measured by ELISA.TNF-α,IL-6,IL-1β,TLR4 and MyD88 mRNA levels were detected by RT-qPCR.Western blot was used to determine expressions of TLR4,MyD88,NF-κB,p-NF-κB,IκB-α and p-IκB-α proteins of cells.Results:Compared with control group,LPS-treated BV2 microglia had significantly lower viability(P<0.05),significantly higher NO secretion(P<0.05),significantly up-regulation levels of inflammatory factors TNF-α,IL-6 and IL-1β(P<0.05),and significantly higher mRNA levels of TNF-α,IL-6,IL-1β,TLR4 and MyD88(P<0.05),TLR4,MyD88,NF-κB,p-NF-κB,IκB-α,and p-IκB-α protein expressions were significantly increased(P<0.05).Compared with LPS group,BV2 microglia intervened with different concentrations of DG had significantly higher viability(P<0.05),significantly lower NO secretion(P<0.05),significantly lower TNF-α,IL-6 and IL-1β inflammatory factors levels(P<0.05),significantly lower mRNA levels of TNF-α,IL-6,IL-1β,TLR4 and MyD88(P<0.05),and TLR4,MyD88,p-NF-κB and p-IκB-α protein expressions were significantly reduced(P<0.05).Conclusion:DG can inhibit LPS-induced neuroinflammatory responses in microglia,whose underlying mechanism is suppression of TLR4/NF-κB signaling pathway.

Objective:To survey treatment and prognosis of hyperkalemia patients in the emergency department and to analyze factors associated with all-cause in-hospital mortality.Methods:We implemented electronic hospital information system, extracted demographic characteristics, underlying diseases, laboratory findings, potassium lowering therapy and prognosis of hyperkalemia patients [age ≥ 18 years, serum potassium (K +) concentration ≥ 5.5 mmol/L] in the emergency department of Peking Union hospital in Beijing between June 1st 2019 to May 31st 2020. The enrolled subjects were divided into the non-survival group and the survival group according to their prognosis. Univariate analysis and Cox regression model were adopted to analyze factors affecting all-cause in-hospital mortality of hyperkalemia patients. Results:A total of 579 patients [median age 64 (22) years; 310 men (53.5%) and 269 women (46.5%)] with hyperkalemia were enrolled, among which, 317 (54.7%), 143 (24.7%) and 119 (20.6%) were mild, moderate, and severe hyperkalemia, respectively. 499 (86.20%) patients received potassium-lowering therapy, forty-four treatment regimens were administered. Insulin and glucose (I+G, 61.3%), diuretics (Diu, 57.2%), sodium bicarbonate (SB, 41.9%) and calcium gluconate/chloride (CA, 44.4%) were commonly used for the treatment of hyperkalemiain the emergency department. The combination of insulin and glucose, calcium gluconate/chloride, diuretics and sodium bicarbonate (I+G+CA+Diu+SB) was the most favored combined treatment regimen of hyperkalemia in the emergency department. The higher serum potassium concentration, the higher proportion of administrating combined treatment regimen and/or hemodialysis (HD) (the proportion of administrating combined treatment regimen in mild, moderate, and severe hyperkalemia patients were 58.4%, 82.5% and 94.8%; the proportion of administrating HD in mild, moderate, and severe hyperkalemia patients were 9.7%, 13.3% and 16.0%, respectively). The proportion of achievement of normokalaemia elevated as the kinds of potassium lowering treatment included in the combined treatment regimen increased. The proportion of achievement of normokalaemia was 100% in the combined treatment regimen including 6 kinds of potassium lowering therapy. Among various potassium lowering treatments, HD contributed to the highest rate of achievement of normokalaemia (93.8%). 111 of 579 (19.20%) hyperkalemia patients died in hospital. Cox regression model revealed that complicated with cardiac dysfunction predicted higher mortality [hazard ratio ( HR) = 1.757, 95% confidence interval (95% CI) was 1.155-2.672, P = 0.009]. Achievement of normokalaemia and administration of diuretics attributed to lower mortality ( HR = 0.248, 95% CI was 0.155-0.398, P = 0.000; HR = 0.335, 95% CI was 0.211-0.531, P = 0.000, respectively). Conclusions:Treatment of hyperkalemia in the emergency department were various. Complicated with cardiac dysfunction were associated with higher mortality. Achieving normokalaemia was associated with decreased mortality.

Objective To investigate the Gram-positive coccus resistance in nationwide's tertiary hospitals and understand the trend of antimicrobial resistance.Methods All the clinical isolates were collected from 19 hospitals and the minimal inhibitory concentrations(MICs)were tested using agar/broth dilution method recommended.Results A total of 1 974 pathogenic Gram-positive coccus from 19 tertiary hospitals in 19 cities nationwide over the period from July 2021 to June 2022 were studied.Based on the MIC results,the prevalence of methicillin resistant Stapylococcus aureus(MRSA)and methicillin resistant Stapylococcus epidermidis(MRSE)were 36.4％and 79.9％respectively.No vancomycin insensitivity Staphylococcus was detected.Staphylococcus aureus were 100％susceptibility to linezolid and teicoplanin.Antibiotic resistance rate of Enterococcus faecalis and Enterococcus faecium to ampicillin were 3.1％and 92.9％.The detectation rate of vancomycin resistant Enterococcus(VRE)was 1.6％.Nonsusceptibility rate of Enterococcus faecalis to linezolid was 32.2％,two consecutive monitoring rises and nonsusceptibility rate of Enterococcus faecium(12.5％)was also significantly increased.The prevalence of penicillin non-susceptible Streptococcus pneumoniae(PNSSP)was 0.8％based on non-meningitis and parenteral administration criterion,decrease of nearly 30 percentage points from the previous surveillance.While for cases of oral penicillin,the rate was 71.8％,showing similar to last time.The results indicated that the number of strains with higher MIC value of penicillin(MIC ≥4 mg·L-1)decreased significantly.There were no significant differences of resistance rates of Stapylococcus aureus,Stapylococcus epidermidis,Enterococcus faecalis,Enterococcus faecium and Streptococcus pneumoniae among various groups such as different department,age,or specimen source.Conclusion VRE detection ratio stablized at a relatively low level.The number of Streptococcus pneumoniae with higher MIC value of penicillin decreased significantly compared with the previous monitoring.The increase of linezolidin-insensitive Enterococcus was noteworthy.

Objective To investigate the Gram-negative bacteria resistance in nationwide's tertiary hospitals and understand the trend of antimicrobial resistance.Method All the clinical isolates were collected from 19 hospitals and the minimal inhibitory concentrations(MICs)were tested using agar/broth dilution method recommended.Results A total of 4 066 pathogenic isolates from 19 tertiary hospitals in 19 cities nationwide over the period from July 2021 to June 2022 were studied.Based on the MIC results,Escherichia coli and Klebsiella pneumoniae showed extended spectrum β-lactamase(ESBLs)phenotype rates of 55.0％and 21.0％,respectively,ESBLs phenotype rate of Klebsiella pneumoniae keep going down.The ratios of carbapenems resistance Klebsiella pneumoniae increased by 5 percentage points compared with the previous monitoring.Carbapenems,moxalactam,sitafloxacin,β-lactam combination agents,fosfomycin trometamol,and amikacin displayed desirable antibacterial activity against Enterbacterales,susceptibal rates were above 75％.In addition,tigacycline,omacycline,colistin and fluoxefin maintained good antibacterial activity against their respective effective bacteria/species,and the bacterial sensitivity rates by more than 80％.Resistance rates of Pseudomonas aeruginosa and Acinetobacter baumannnii to imipenem were 26.3％and 72.1％and multidrug-resistant(MDR)detection rates were 41.1％and 77.3％,extensively drug-resistant(XDR)were 12.0％and 71.8％,respectively.Comparison of drug resistance rates from different wards,ages and specimen sources indicated that the proportion of resistance in Klebsiella pneumoniae and Acinetobacter baumannii isolated from intensive care unit(ICU)were significantly higher than non-ICU.Carbapenem resistance rates of Klebsiella pneumoniae isolated from ICU were more than 35％.Resistance rates of Haemophilus influenzae isolated in children to β-lactam,macrolide,clindamycin and ESBLs detection rate in Klebsiella pneumoniae isolated from children were more than those from adults and the old people,so bacterial resistance in children is an important problem in China.Conclusion ESBLs detection rate of Escherichia coli increased slightly after years of continuous decline.The proportion of carbapenem resistant Pseudomonas aeruginosa was stable,but the resistance rate of Klebsiella pneumoniae and Acinetobacter baumannii to carbapenems was still increased,which should be paid more attention.

Objective: Systematically summarize the research progress of clinical trials of gastric cancer oncology drugs and the overview of marketed drugs in China from 2012 to 2021, providing data and decision-making evidence for relevant departments. Methods: Based on the registration database of the drug clinical trial registration and information disclosure platform of Food and Drug Administration of China and the data query system of domestic and imported drugs, the information on gastric cancer drug clinical trials, investigational drugs and marketed drugs from January 1, 2012 to December 31, 2021 was analyzed, and the differences between Chinese and foreign enterprises in terms of trial scope, trial phase, treatment lines and drug type, effect and mechanism studies were compared. Results: A total of 114 drug clinical trials related to gastric tumor were registered in China from 2012 to 2021, accounting for 3.7% (114/3 041) of all anticancer drug clinical trials in the same period, the registration number showed a significant growth rate after 2016 and reached its peak with 32 trials in 2020. Among them, 85 (74.6%, 85/114) trials were initiated by Chinese pharmaceutical enterprise. Compared with foreign pharmaceutical enterprise, Chinese pharmaceutical enterprise had higher rates of phase I trials (35.3% vs 6.9%, P=0.001), but the rate of international multicenter trials (11.9% vs 67.9%, P<0.001) was relatively low. There were 76 different drugs involved in relevant clinical trials, of which 65 (85.5%) were targeted drugs. For targeted drugs, HER2 is the most common one (14 types), followed by PD-1 and multi-target VEGER. In the past ten years, 3 of 4 marketed drugs for gastric cancer treatment were domestic and included in the national medical insurance directory. Conclusions: From 2012 to 2021, China has made some progress in drug research and development for gastric carcinoma. However, compared with the serious disease burden, it is still insufficient. Targeted strengthening of research and development of investment in many aspects of gastric cancer drugs, such as new target discovery, matured target excavating, combination drug development and early line therapy promotion, is the key work in the future, especially for domestic companies.
China ; Gastrointestinal Agents/therapeutic use* ; Gastrointestinal Neoplasms ; Humans ; Pharmaceutical Preparations ; United States ; United States Food and Drug Administration

Objective: To establish a three-dimensional model of middle ear-eustachian tube based on Chinese digital visual human dataset, and the deformation and pressure changes of the middle ear-eustachian tube system after eustachian tube opening are simulated by computer numerical simulation. Methods: The first female Chinese Digital Visual Human data was adopted. The images were imported by Amira image processing software, and the images were segmented by Geomagic software to form a three-dimensional model of middle ear-eustachian tube system, including eustachian tube, tympanum, tympanic membrane, auditory ossicles, and mastoid air cells system. The 3D model was imported into Hypermesh software for meshing and analysis. The structural mechanics calculation was carried out by Abaqus, and gas flow was simulated by Xflow. The tissue deformation and middle ear pressure changes during eustachian tube opening were numerically simulated by fluid-solid coupling algorithm. Several pressure monitoring points including tympanum, mastoid, tympanic isthmus, and external auditory canal were set up in the model, and the pressure changes of each monitoring point were recorded and compared. Results: In this study, a three-dimensional model of middle ear-eustachian tube and a numerical simulation model of middle ear ventilation were established, including eustachian tube, tympanum, mastoid air cells, tympanic membrane, and auditory ossicles. The dynamic changes of the model after ventilation could be divided into five stages according to the pressure. In addition, the pressure changes of tympanum and tympanic isthmus were basically synchronous, and the pressure changes of mastoid air cells system were later than that of tympanum and tympanic isthmus, which verified the pressure buffering effect of mastoid. The extracted pressure curve of the external auditory canal was basically consistent with that of tympanometry in terms of value and trend, which verified the effectiveness of the model. Conclusions: The numerical simulation model of middle ear-eustachian tube ventilation established in this paper can simulate the tissue deformation and middle ear pressure changes after eustachian tube opening, and its accuracy and effectiveness are also verified. This not only lays a foundation for further research, but also provides a new research method for the study of middle ear ventilation.
China ; Ear, Middle ; Eustachian Tube ; Female ; Human Body ; Humans ; Middle Ear Ventilation

Objective To determine the epidemiological characteristics of measles in Jinshan District of Shanghai in 2002‒2019. Methods This study was a secondary data analysis using measles surveillance system and epidemiological case reports in Jinshan District from January 2002 through December 2019. Temporal characteristics of the disease onset was determined by a concentration method. ArcGis 10.4 and SaTScan 9.6 software were used for spatiotemporal clustering scanning analysis. Results From 2002 through 2019， a total of 289 cases of measles were reported in Jinshan District， Shanghai， with an average annual incidence of 2.24 per 10⁵. The annual incidence fluctuated from 0 to 11.27 per 10⁵. The highest incidence was recorded in 2005 （11.27 per 10⁵）， followed by a decline； however， there was a rebound in 2008 （5.26 per 10⁵） and 2015 （3.30 per 10⁵）. The concentration M was determined to be 0.62， showing a clear seasonality concentrated in February to May. The spatiotemporal scan found that spatial and temporal clusters were more likely to occur in the areas with higher population density such as Zhujing Town and Shihua Community and between 2002 and 2009. The majority of measles cases were infants and children under the age of 1 and adults aged 20‒39 years. Approximately 66.78% of measles cases reported unknown vaccination history. In addition， in children aged 8 month to 4 years， the vaccination rate of measles-containing vaccines in the domestic migrants was much lower than the local residents （χ²=4.44， P=0.035）. Conclusion The incidence of measles in Jinshan District presents a downward trend. The population affected has a "two-way displacement"， which is concentrated in the more populated areas. It is necessary to strengthen measles surveillance and implement supplementary immunization programs with measles-containing vaccines for at-risk populations.