ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.

AIM: To analyze changes in the anterior chamber angle structure in patients with implantable collamer lens with central-port(ICL V4c)implantation, and to investigate their associations with preoperative anterior segment anatomical parameters.METHODS: Retrospective case study. Patients with myopia or myopia combined with astigmatism who underwent ICL V4c implantation in the Refractive Surgery Center of the Department of Ophthalmology, the 2nd Affiliated Hospital of Harbin Medical University between July 2024 and November 2024 were recruited. Preoperative and postoperative uncorrected visual acuity, best-corrected visual acuity, intraocular pressure, anterior chamber angle(ACA), white-to-white distance(WTW), anterior chamber depth(ACD), angle to angle distance(ATA), horizontal sulcus-to-sulcus distance(HSTS), vertical sulcus-to-sulcus distance(VSTS),crystalline lens rise(CLR), pupil diameter(PD), iris thickness at 750 μm from the scleral spur(IT750),maximal iris thickness(ITM), iris curvature(I-Curv), and iris cross-sectional area(I-Area), angle opening distance(AOD750), thetrabecular-iris angle(TIA750)and the trabecular-iris space area(TISA750)in the temporal, nasal, superior, and inferior directions,as well as the vault at various postoperative time points were measured.RESULTS: The study involved 40 patients(79 eyes)with myopia or myopia combined with astigmatism who underwent ICL V4c implantation(10 males and 30 females)with the mean age of 24.73±3.79 y. Compared with preoperative measurements, at 1 mo postoperatively, the AOD750, TIA750, and TISA750 parameters at the four angles(temporal, nasal, superior, and inferior)all showed a significant reduction(P<0.01). Statistically significant differences in vault were observed at postoperative 1d(0.49±0.1), postoperative 1 wk(0.43±0.14), and postoperative 1 mo(0.41±0.14)(all P<0.001). Correlation analysis indicated that the postoperative state of the anterior chamber angle was jointly influenced by anterior chamber parameters(ACD, ATA, HSTS、VSTS), iris morphology(I-Area, IT750), pupil size(PD), and surgical factors(ICL size, early vault), and that the combination of influencing factors varied across different orientations. Regression analysis showed that ACD was positively correlated with all postoperative anterior chamber angle parameters(P<0.05). IT750 exhibited negative correlations with the temporal and inferior angles(P<0.05). I-Area was positively correlated with temporal AOD750 and TISA750(P<0.05), and PD had negative correlations with temporal TIA750 and nasal AOD750(P<0.05).CONCLUSION: Postoperative anterior chamber angle narrowing is a common phenomenon after ICL V4c implantation. The degree of change exhibits a significant correlation with multiple preoperative anterior segment anatomical parameters. Preoperative comprehensive assessment of ACD, PD, and IT750 may facilitate the evaluation of the risk of postoperative angle changes and the enhancement of surgical safety.

Objective To construct and evaluate a prognostic model for clear cell renal cell carcinoma(ccRCC)based on preoperative lipid ratios, cM0(i+)staging, and other clinical characteristics, so as to provide a precise tool for clinical prognosis assessment. Methods A retrospective analysis was conducted on the clinical data of 215 ccRCC patients treated in our hospital during May 2014 and May 2023. Lipid ratios were calculated using preoperative lipid data, and patients were divided into cM0(i+)stage or cM0 stage according to postoperative circulating tumor cells(CTCs)test results. The optimal lipid ratio and cutoff value were selected using receiver operating characteristic(ROC)curves and the X-tile method. Patients were subdivided into three groups based on the level of the low-density lipoprotein cholesterol to non-low-density lipoprotein cholesterol ratio(LNLR)and cM0(i+)staging:Group A [LNLR＞1.68 and diagnosed with cM0(i+)], Group B [LNLR＞1.68 or diagnosed with cM0(i+)], and Group C(LNLR ≤1.68 and diagnosed with cM0). Kaplan-Meier survival analysis was used to plot survival curves for patients in different groups. The log-rank test was employed to compare differences in recurrence-free survival(RFS)among the subgroups. Multivariate Cox regression analysis was conducted to identify the independent risk factors influencing RFS, and a nomogram prediction model was constructed based on these results. The predictive performance of the model was validated using ROC curves, calibration curves, and decision curves. Results ROC curves were plotted for lipid markers, and LNLR was identified as the most predictive for RFS. Its optimal cutoff point was 1. 68. Patients in Group A experienced a significantly shorter postoperative RFS. Multivariate Cox regression analysis identified preoperative LNLR, cM0(i+)staging, pathological grade, and stage as independent risk factors for RFS. A nomogram model was constructed based on these risk factors. The area under the ROC curve(AUC)for 1-, 3-, and 5-year RFS was 0.896(95% CI:0.8121-0.9627), 0.890(95%CI:0.7879-0.9641), and 0.870(95%CI:0.7697-0.9526), indicating good discriminatory ability and predictive performance. Calibration plots demonstrated good agreement between predicted and actual outcomes. Clinical decision curve analysis showed high clinical net benefit. Conclusion Preoperative LNLR level is an independent risk factor for RFS in ccRCC patients. The prognostic prediction model based on LNLR, cM0(i+)staging, patient pathological grade, and staging demonstrates good predictive performance for RFS and holds potential clinical application value.

The alternative pathway (AP) of the complement system is a key contributor to the pathogenesis of several diseases including paroxysmal nocturnal hemoglobinuria (PNH), atypical hemolytic uremic syndrome (aHUS), C3 glomerular disease (C3G) and age-related macular degeneration (AMD). Complement factor B (CFB) is a trypsin-like serine protein that circulates in the human bloodstream in a latent form. As a key node of the alternative pathway, it is an important target for the treatment of diseases mediated by the complement system. With the successful launch of iptacopan, the CFB small molecule inhibitors has become a current research hotspot, a number of domestic and foreign pharmaceutical companies are actively developing CFB small molecule inhibitors. In this paper, the research progress of CFB small molecule inhibitors in recent years is systematically summarized, the representative compounds and their activities are introduced according to structural types and design ideas, so as to provide reference and ideas for the subsequent research on CFB small molecule inhibitors.

Objective To investigate the value of serum lipoprotein-associated phospholipase A2(Lp-PLA2)for predicting high-risk coronary plaques in elderly males.Methods A retrospective study was conducted on 46 elderly males aged ≥60 years undergoing health check-ups and coro-nary computed tomography angiography in our hospital between May and July 2024.Their general clinical data were collected.Artificial intelligence software was used to analyze coronary calcium scores and plaque characteristics.The participants were divided into a high-risk plaque group(n=15)and a non-high-risk plaque group(n=31).The differences were compared between the two groups.Multivariate logistic regression analysis was used to identify the influencing factors for high-risk coronary plaques.ROC curve was plotted to determine the predictive value of serum Lp-PLA2 for high-risk plaques,and its AUC value was calculated.Results The high-risk plaque group had significantly larger proportions of smoking history and hyperlipidemia,and higher level of homocysteine and Lp-PLA2 than the non-high-risk plaque group(P＜0.05,P＜0.01).Multiva-riate logistic regression analysis indicated that Lp-PLA2 was an independent risk factor for high-risk coronary plaques(HR=1.030,95％CI:1.008-1.053,P＜0.05).ROC curve analysis revealed that the AUC value of Lp-PLA2 in predicting high-risk coronary plaques was 0.833(95％CI:0.694-0.927,P＜0.01),with a sensitivity of 93.3％,a specificity of 71.0％,a positive predictive value of 62.5％,and a negative predictive value of 100％.Conclusion Serum Lp-PLA2 is of signif-icant value in predicting high-risk coronary plaques in elderly men.

Objective:To apply quality function deployment(QFD)method to formulate management strategy for usage quality of medical equipment,so as to provide a reference for ensuring the safety of using medical equipment.Methods:A questionnaire about the guarantee for the requirement of usage quality of medical equipment was designed,so as to obtain the information of the users of clinical department of The Affiliated Xinghua Hospital to Kangda College of Nanjing Medical University for the requirement of usage quality of medical equipment in using medical equipment from February to April 2024,and confirm the important degree of the requirement.Then,the QFD method was adopted to convert the requirements of users for medical equipment to the required technical indicators of guaranteeing usage quality of medical equipment,and the priority technical guarantee measures of the important degree were quantitatively obtained.Results:A total of 478 questionnaires were issued,and 442 valid questionnaires were retrieved,and the valid recovery rate of questionnaire was 92.47%.The questionnaire identified and analyzed 12 requirements of three dimensions of users in using medical equipment,and they were converted to the top six technical guarantee measures of the strategy of quality management of using medical equipment,which included equipment function,criticality of equipment mission,type of service provider,compliance of rules and regulations,requirements of maintenance,and service life.Conclusion:QFD method can help medical engineering department to establish a management system of usage quality with quantitative analysis for medical equipment,and enhance the management level for the quality of medical equipment in medical institutions,and realize maximize benefit of medical equipment.

Objective To compare the differences of baseline characteristics of patients with myelodysplastic syndrome(MDS)who achieved platelet(PLT)response after arsenic-containing TCM compounds combined with Western medicine treatment.Methods Totally 72 MDS patients were selected from 12 outpatient departments and wards,such as Xiyuan Hospital,China Academy of Chinese Medical Sciences,Dongfang Hospital,Beijing University of Chinese Medicine from October 2021 to October 2024.Among them,45 patients received arsenic-containing TCM compounds combined with Western medicine treatment,27 patients received Western medicine treatment.The blood routine[white blood cell(WBC)count,hemoglobin,PLT,neutrophil count],TCM syndrome scores,safety indicators,and adverse events were observed before and after three courses of treatment.The efficacy of all patients was evaluated,and the baseline characteristics of patients who achieved PLT response in the arsenic-containing TCM compounds group and the Western medicine treatment group were compared.Results Comparing the differences of baseline characteristics of the two groups,it was found that the patients who achieved PLT response in the arsenic-containing TCM compounds group were compared with those in the Western medicine treatment group:Age<60 years old(P=0.038),longer disease duration(P=0.012),lower WBC(P=0.017),lower reticulocyte percentage(P=0.037),lower blood urea nitrogen(P=0.046),lower high-density lipoprotein cholesterol(P=0.014),and lower N-terminal pro-B-type natriuretic peptide(P=0.034),abnormal electrocardiogram(P=0.013),high blasts(P=0.009),grade 0 reticular fiber staining(P<0.01),normal chromosome karyotype(P<0.01),gene mutation(P<0.01)and high TCM syndrome scores(P=0.013)were found.Conclusion Arsenic-containing TCM compounds consisting of Qinghuang Powder and Bushen Jianpi Decoction combined with Western medicine is used to treat MDS.Patients with age<60 years old,long disease duration,low WBC count,low reticulocyte percentage,low blood urea nitrogen,low high-density lipoprotein cholesterol,low N-terminal pro-B-type natriuretic peptide,abnormal electrocardiogram,high blasts,grade 0 reticular fiber staining,normal chromosome karyotype,gene mutation and high TCM syndrome score are more likely to obtain PLT response.

Objective:To characterize the vaginal flora of pregnant women during the second trimester using full-length 16S rRNA sequencing.Methods:A total of 142 pregnant women were systematically sampled from a pregnancy cohort. Vaginal swabs were collected for full-length 16S rRNA gene sequencing，and bioinformatics analysis was performed to characterize the vaginal microbiota and identify associated influencing factors.Results:Among the 142 pregnant women，the most frequently detected species were Lactobacillus iners（83.10%，118/142）and Lactobacillus crispatus（49.30%，70/142）. The majority of samples（90.85%，129/142）were classified as Lactobacillus-dominant vagitypes，with the Lactobacillus iners vagitype accounting for 48.59%（69/142）and the Lactobacillus crispatus vagitype accounting for 38.73%（55/142）. The vaginal microbiota was clustered into five community state types（CSTs）：Ⅰa，Ⅰb，Ⅲa，Ⅲb，and Ⅳ. The most prevalent CSTs were Lactobacillus iners-dominated CST-Ⅲ（51.41%，73/142）and Lactobacillus crispatus-dominated CST-Ⅰ（24.65%，35/142）. No samples were classified as CST-Ⅱ or CST-Ⅴ. A significant negative correlation was observed between Lactobacill and vaginosis-associated bacteria. Age，alcohol consumption，smoking，and vaginal treatments showed significant associations or trends toward significance with various Alpha diversity indices. Vaginal douching was associated with CST clustering，while obstetric history（primiparity，previous miscarriage history）was associated with vagitype classification. However，no significant associations were identified between maternal baseline characteristics and Beta diversity indices. Conclusions:Full-length 16S rRNA gene sequencing reveals that the vaginal microbiota of pregnant women is dominated by Lactobacillus iners and Lactobacillus crispatus. Maternal age，lifestyle factors such as smoking and alcohol consumption，and obstetric history are significantly associated with variations in vaginal microbiota composition.