Background: and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture. Methods: A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture. Results: The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05). Conclusion The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.

Objective To develop a reagent for detecting of 17α-hydroxyprogesterone(17α-OHP)in dried blood spots on filter paper fixed on vascular stent by Auto TRFIA-4 automatic fluorescence immunoanalyzer and evaluate its performance.Methods The microwell plate was coated with the sheep anti-rabbit IgG antibody as microwell reaction plate,the rabbit anti-human 17α-OHP antibody was diluted as intermediate antibody,and the 17α-OHP-bovine serum albumin conjugate was labeled by europium as europium marker.The concentration of 17α-OHP in dried blood spots on filter paper fixed on blood spots stent was quantitatively detected by Auto TRFIA-4 automatic fluorescence immunoanalyzer.The analysis sensitivity,accuracy,linearity,precision,specificity and stability were evaluated,and whether they met the requirements of the formulated industry standards were evaluated.A total of 227 neonatal heel blood filter paper samples from newborns who were born 72 hours after birth and within 7 days and fully breastfeeding were selected for reagent comparison test.The consistency was analyzed by χ2 test,Kappa test,t test,linear correlation analysis,regression analysis,Bland-Altman method analysis and predictive bias analysis of medical decision level,P<0.05 indicated statistically significant difference.Results The optimal coating concentration of sheep anti-rabbit IgG antibody was 3 μg/ml.The optimal dilution ratio of rabbit anti-human 17α-OHP antibody was 1∶1 500.The optimal dilution ratio of 17α-OHP europium marker mother liquor was 1∶2 500.The limit of blank,limit of detection,limit of quantification was 0.75,1.08 and 1.99 nmol/L,respectively.The relative deviations of the standard check test were within±15.00%,and the average recovery rate was 92.36%.The linear correlation coefficient was 0.997 1 in the range of 2.00 to 300.00nmo/L.The intra-assay and inter-assay coefficients of variation were all within 10.00%.The cross-reactivity rates of 100.00 ng/ml progesterone,17α-hydroxypreg nenolone and 11-deoxycortisol were within 0.089%to 0.64%.The performance of stability test met the requirements.The total coincidence rate was 100%compared with the results of contrast reagent.The quantitative results were highly correlated with the contrast reagent(r=0.999 4,tr=452.02,P<0.05).Conclusion The self-developed reagent has the advantages of high sensitivity,good accuracy,wide linear range,good precision,high specificity and good stability,which meets the requirements of the formulated industry standards,and has high correlation and consistency with the result of contrast reagent,which meets the needs of clinical detection.

OBJECTIVE To analyze the characteristics of global surgical site infection(SSI)outbreaks and provide references for targeted prevention and control measures.METHODS SSI outbreak events from Jan.1,1990 to Dec.31,2023 were searched from Wanfang Med,CNKI,VIP and PubMed.Data on department distribution dur-ing the outbreak,duration,investigation methods,main causes,transmission modes,pathogen composition and outbreak outcomes were summarized for analysis.RESULTS A total of 111 SSI outbreaks in 20 countries were identi-fied,involving 1 382 patients and 24 deaths.The source of the outbreak was identified in 78 cases,mainly involving med-ical personnel in 27 cases(34.62％),hospital equipment in 19 cases(24.36％),environmental factors in 11 cases(14.10％),workflow factors in 10 cases(12.82％),hospital water factors in 7 cases(8.97％)and disinfectant fac-tors in 4 cases(5.13％).The duration of SSI outbreaks abroad was 5.00(1.50,12.00)months,longer than that in China[1.00(1.00,2.00)month](P＜0.05).In China,the outbreaks mainly occurred in neurosurgery,cardiac surger-y,orthopedics,obstetrics and general surgery,while at abroad,they mainly occurred in cardiac surgery,orthopedics,and involved multiple surgical departments.Environmental hygiene methods were adopted in up to 90.63％of cases in China.Compared with China,analytical epidemiological methods and molecular epidemiological methods were more com-monly used abroad.Targeted measures and strengthened basic measures were implemented for different outbreak sources to terminate the SSI outbreaks.Pulsed-field gel electrophoresis(34 times)was a widely used molecular typing method in outbreak investigations.CONCLUSIONS Based on the analysis of SSI outbreak characteristics and risk factors,it is neces-sary to strengthen medical personnel training and monitoring of special pathogens.At the same time,the epidemiologi-cal investigation capabilities of infection control professionals should be strengthened.

Objective To explore the factors influencing blood drug concentrations of first-line anti-tuberculosis drugs in fixed-dose combinations by analyzing therapeutic drug monitoring data from tuberculosis patients receiving these regimens.Methods This retrospective study enrolled 224 patients who received treatment at Guangzhou Chest Hospital between January 2020 and December 2024.All participants underwent standardized therapy during the intensive phase,with therapeutic drug monitoring of first-line anti-tuberculosis drugs(ANTDs),including isoniazid(INH)and rifampicin(RFP).Data collection was completed in January 2025,at which time clinical records and measured INH and RFP plasma concentrations were updated.Data analysis was conducted from January to February 2025.Eight baseline variables—gender,age,hypoproteinemia(serum albumin<35 g/L),glomerular filtration rate(GFR),and others—were collected.Univariate chi-square tests and multivariate logistic regression analyses were performed to identify independent risk factors associated with subtherapeutic INH and RFP plasma concentrations.Results Among the study participants,71.43%(160/224)exhibited blood drug concentrations below the reference range for INH,compared to 41.07%(92/224)for RFP.The mean blood concentrations(mg/L,±SD)were 2.532±1.371 for INH and 9.428±4.317 for RFP,respectively.One-way analysis indicated significant associations between male gender,positive etiological test results,and subtherapeutic RFP concentrations(P<0.05),suggesting statistically significant differences.Multivariate regression analysis further revealed that male gender(OR=1.992,95%CI:1.094～3.628)and positive etiological tests(OR=1.929,95%CI:1.058～3.517)were independent risk factors for low RFP levels.Conclusions This study demonstrates that therapeutic drug monitoring(TDM)frequently identifies subtherapeutic RFP concentrations in tuberculosis patients undergoing treatment.Multivariate analysis reveals that male sex and positive pathogen test results are independent risk factors associated with low RFP plasma levels.Consequently,clinicians should exercise heightened vigilance in patients exhibiting these characteristics,promptly implementing TDM to guide individualized dose adjustments.Such an approach is crucial for optimizing treatment efficacy and minimizing the risk of drug resistance development.

Allogeneic haematopoietic stem cell transplantation(allo-HSCT)is the most effective curative treatment for hematologic malignancies.Its efficacy hinges on eliminating primary hematological disorders and restoring bone marrow hematopoiesis during conditioning,as well as leveraging the graft-versus-leukemia(GVL)effect.However,acute graft-versus-host disease(aGVHD)remains a significant complication following allo-HSCT,substantially affecting patient survival and quality of life.Current preclinical studies focus on strategies to mitigate aGVHD while preserving adequate GVL effects to improve transplant outcomes.This review summarizes recent preclinical research findings in this field,emphasizing the regulatory roles and specific molecular mechanisms of T cells,antigen-presenting cells,myeloid-derived suppressor cells,and mesenchymal stem cells in aGVHD.It further highlights the latest therapeutic strategies for aGVHD from preclinical studies,aiming to provide valuable insights for researchers and clinicians to develop more effective therapeutic targets and strategies.

Objective Excavate the prescriptions containing the drug pair of Aurantii Fructus Immaturus-Magnoliae Officinalis Cortex(AFI-MOC),and statistically analyze the rules of prescription medication,and explore its potential mechanism of action in the treatment of food retention disorder.Methods The prescriptions containing the pair of AFI-MOC in the Great Dictionary of Traditional Chinese Medicine Prescriptions were retrieved and typed into Excel to establish a database.The source,dosage form,frequency of compatibility of traditional Chinese medicine,nature,taste and meridian attribution and indications were analyzed.Using R language(4.3.3)software with OriginPro to analysis co-occurrence frequency,association rule,correlation clustering analysis,and visualization.Then,the network construction,Protein-Protein Interaction Network(PPI)analysis,Gene Ontology(GO)function and Kyoto Encyclopedia of Genes and Genome(KEGG)pathway enrichment analysis of the"AFI-MOC-active ingredient-food retention disorder target"network were performed for the AFI-MOC drug pair and its indications food retention disorder.The binding between the core active ingredients and key target proteins was evaluated by molecular docking.Results A total of 349 prescriptions containing the pair of AFI-MOC were included,involving 267 Chinese herbs.Among them,the high-frequency compatibility drugs included Citri Reticulatae Pericarpium,Glycyrrhizae Radix et Rhizoma,Atractylodis Macrocephalae Rhizoma,Rhei Radix et Rhizoma and Aucklandiae Radix.They are mainly warm in nature,spicy,bitter and sweet in taste,spleen,liver and stomach in meridian.There were 141 kinds of indications,most of which were diseases of the spleen and stomach system such as food retention disorder,dysentery and fullness.Correlation cluster analysis shows that the AFI-MOC drug pair is frequently combined with drugs that have the efficacy of promoting qi circulation,strengthening the spleen,clearing heat,and eliminating dampness.Found through the analysis of network pharmacology AFI-MOC drug pair on the core of the active ingredient of Luteolin,BU3,Naringenin,Honokiol and Nobiletin.Key targets for food retention disorder are BDNF,AKT1,ESR1,TNF and IL-6.Molecular docking results show Luteolin,combined with AKT1 is most closely.Conclusion AFI-MOC drug pair often compatible with Citri Reticulatae Pericarpium,Atractylodis Macrocephalae Rhizoma,Aucklandiae Radix.The advantages of the prescription containing AFI-MOC drug pair is food retention disorder.Its key active components can exert therapeutic effects through multiple targets such as AKT1 and TNF.This study reveals the AFI-MOC drug pair on compatibility laws,preliminary interpretation of the mechanism for the treatment of food retention disorder.It can provide references and a basis for studying the compatibility mechanism of AFI-MOC and guiding rational clinical medication.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Allogeneic haematopoietic stem cell transplantation(allo-HSCT)is the most effective curative treatment for hematologic malignancies.Its efficacy hinges on eliminating primary hematological disorders and restoring bone marrow hematopoiesis during conditioning,as well as leveraging the graft-versus-leukemia(GVL)effect.However,acute graft-versus-host disease(aGVHD)remains a significant complication following allo-HSCT,substantially affecting patient survival and quality of life.Current preclinical studies focus on strategies to mitigate aGVHD while preserving adequate GVL effects to improve transplant outcomes.This review summarizes recent preclinical research findings in this field,emphasizing the regulatory roles and specific molecular mechanisms of T cells,antigen-presenting cells,myeloid-derived suppressor cells,and mesenchymal stem cells in aGVHD.It further highlights the latest therapeutic strategies for aGVHD from preclinical studies,aiming to provide valuable insights for researchers and clinicians to develop more effective therapeutic targets and strategies.

Objective:New HIV infections serve as a crucial indicator for assessing the dynamic changes in the HIV epidemic. This study aims to estimate the number of new HIV infections in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan Province (Dehong), using a back-calculation method that integrates diagnosis delay approaches and Bayesian theory. Additionally, it compares the differences between these two estimation methods.Methods:Data were obtained from the Chinese Information System for Disease Control and Prevention. Based on CD4 + T lymphocytes (CD4) counts depletion model, the first CD4 count prior to antiretroviral therapy of HIV-infected individuals diagnosed in Dehong from 2010 to 2023 was utilized to retroactively determine the infection date of HIV-infected individuals and ascertain the annual number of new HIV infections who had been diagnosed. Subsequently, the diagnosis delay distribution method and Bayesian theory were leveraged to assess the diagnosis probability of newly infected individuals, thereby projecting the number of new HIV infections in the region over the specified period. Results:During 2010-2023, a total of 5 693 individuals aged 15 and above, excluding mother-to-child transmission, were diagnosed with HIV in Dehong. After excluding 364 cases due to missing CD4 count results or abnormal first CD4 counts (≥2 000 cells/μl), 5 329 HIV-infected individuals were included in the final analysis. Through CD4 counts back-calculation from 2010 to 2023, the annual number of new infections diagnosed was 479, 427, 337, 305, 256, 219, 194, 193, 131, 166, 120, 71, 42 and 47. When using the diagnosis delay distribution method and life table analysis, the cumulative diagnosis probability rose from 0.301 within one year to 0.913 within 14 years, leading to a reduction in the number of estimated new infections from 577 in 2010 to 168 in 2023, with a total estimate of 4 412 (95% CI:4 350-4 480). Alternatively, based on Bayesian theory, the diagnosis probability increased from 0.413 within one year to 0.946 within 14 years, leading to a reduction in the number of estimated new infections from 557 in 2010 to 122 in 2023, with a total of 3 814 (95% CI: 3 787-3 837). Conclusions:Both methods yielded consistent results in estimating new HIV infections in Dehong from 2010 to 2023. Given the region's ongoing expansion of HIV testing, the estimates derived from Bayesian theory may more accurately reflect the actual situation. These findings provide a reference basis for formulating and optimizing HIV/AIDS prevention and control strategies in Dehong, facilitating progress toward the goal of eliminating AIDS by 2030 in the region.

Objective To investigate the effect of long-chain non-coding ribonucleic acid maternal expression 3(MEG3)on high glucose-induced pancreatic islet β-cell injury through the transforming growth factor-β-Smad 2/3 signaling pathway.Methods INS-1 rat insulinoma cells were divided into normal control(Con)group,HG group,negative control(si-NC)group,HG+si-NC group,siRNA targeting MEG3(si-MEG3)group,HG+si-MEG3 group,HG+si-MEG3+TGF-β-Smad2/3 signaling pathway inhibitor(HG+si-MEG3+LY2109761)group.Cell viability was detected by cell counting kit-8(CCK-8).The mRNA expression of MEG3 and pyroptosis-associated markers was detected by qRT-PCR.Autophagic vesicles were tested by transmission electron microscopy,and expression of autophagy-associated proteins and pyroptosis-associated proteins was detected by Western blot and immunofluorescence.TGF-β-Smad2/3 protein expression was detected by Western blot.Results Glucose downregulated MEG3 mRNA expression in a dose-dependent manner.Compared with si-NC group,p-Smad2,TGF-β1,Beclin1,LC3-II/LC3-I,NLRP3,GSDMD-N,IL-1β,ASC,and c-Caspase1 protein expression was elevated(P<0.05),and cell viability was decreased in HG+si-NC group(P<0.05).Compared with the HG+si-NC group,TGF-β1,NLRP3,GSDMD-N,IL-1β,ASC,c-Caspase1 protein expression was elevated(P<0.05),and p-Smad2,cell viability,Beclin1,and LC3-II/LC3-I were decreased in the HG+si-MEG3 group(P<0.05).Compared with HG+si-MEG3 group,NLRP3,GSDMD-N,IL-1β,ASC,and c-Caspase1 protein expression was elevated(P<0.05),and cell viability,p-Smad2,TGF-β1,Beclin1,and LC3-II/LC3-I protein expression was decreased in HG+si-MEG3+LY2109761 group(P<0.05).Conclusions MEG3 regulates autophagy and pyroptosis in pancreatic β-cells through the TGF-β-Smad2/3 signaling pathway.