Atmospheric particulate matter(PM2.5)is a major contributor to the development and progression of chronic respir-atory diseases(CRD).The mechanisms involved in PM2.5-in-duced CRD are complex,in which airway epithelial barrier im-pairment is a key pathophysiological basis and initial link.PM2.5 exposure results in airway epithelial barrier disruption via various ways,including physical barrier,mucociliary barrier,immune barrier,and respiratory microbiota barrier.Currently,there are few therapeutic interventions targeting the airway epithelial barri-er in CRD.Antioxidants,vitamin D,and traditional Chinese medicine are mainly used as auxiliary regimens but clinical evi-dence is lacking.Understanding these mechanisms may provide a scientific basis for further identifying the mechanism of CRD and seeking novel treatment strategies.

Objective:To investigate the prognostic factors for esophageal cancer after radical resection and the application value of machine learning prediction model.Methods:The retrospective cohort study was conducted. The clinicopatholigical data of 406 esophageal cancer patients who were admitted to Qilu Hospital of Shandong University from January 2018 to March 2022 were collected. There were 357 males and 49 females, aged (64±8)years. All patients underwent radical resection of esophageal cancer. The 406 patients were randomly divided into a training set of 285 cases and a validation set of 121 cases at a 7∶3 ratio based on a random number table. The training set was used to construct prediction model, and the validation set was used to validate prediction model. Patients were divided into high-risk group and low-risk group based on risk scores. Observation indicators: (1) follow-up of patients and analysis of influencing factors for prognosis; (2) construction and validation of machine learning prediction models. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the rank sum test. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and the Log-rank test was used for survival analysis. The Cox proportional hazard regression model was used for univariate and multivariate analyses. Independent influencing factors were included, and data processing, machine learning model construction, and visualization were performed using R packages including random survival forest (RSF), gradient boosting machine (GBM), least absolute shrinkage and selection operator Cox regression (LASSO-Cox), Cox proportional hazards model boosting (CoxBoost), survival support vector machine (survivalsvm), extreme gradient boosting (XGBoost), supervised principal component analysis (SuperPC), and Cox partial least squares regression (plsRcox). Receiver operating characteristic (ROC) curves were drawn, and sensitivity, specificity, and area under the curve (AUC) were calculated. The Delong test was used to assess the differences in AUC among different models in the training set, and the time-dependent ROC was used to compare the predictive performance of different models. Calibration curves were used to evaluate model accuracy, and decision curve analysis (DCA) was used to evaluate overall net benefit. Results:(1) Follow-up of patients and analysis of influencing factors for prognosis. All 406 patients were followed up postoperatively for 28(range, 6-36)months, with 1- and 3-year overall survival rate of 86.5% and 40.9%, respectively. The 285 patients in the training set were followed up postoperatively for 30(range, 6-36)months, with 1- and 3-year overall survival rate of 85.1% and 35.5%, respectively. The 121 patients in the validation set were followed up postoperatively for 25(range, 6-36)months, with 1- and 3-year overall survival rate of 87.0% and 43.2%, respectively. There was no significant difference in postoperative overall survival rate between the training set and the validation set ( χ2=3.20, P>0.05). Results of multivariate analysis showed that left thoracic surgical approach, preopera-tive neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia were independent risk factors affecting postoperative survival of 285 patients in the training set ( hazard ratio=1.466, 1.037, 1.482, 1.549, 5.268, 7.727, 22.202, 2.539, 2.686, 1.425, 95% confidence interval as 1.026-2.096, 1.003-1.073, 1.008-2.179, 1.105-2.170, 1.201-23.099, 1.833-32.576, 4.734-104.128, 1.577-4.087, 1.631-4.422, 1.018-1.994, P<0.05). (2) Construction and validation of machine learning prediction models. Independent risk factors affecting postoperative survival were included to construct RSF, GBM, LASSO-Cox, CoxBoost, survivalsvm, XGBoost, SuperPC, and plsRcox machine learning prediction models. Results of Delong test showed that there were significant differences in the AUC of RSF and GBM from the other six models ( P<0.05). Results of time-dependent ROC curve showed that all 8 machine learning predic-tion models had good discriminative ability in the training cohort, among which the RSF machine learning prediction model had the best predictive performance. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postoperative 1-, 2-, and 3-year overall survival in the training cohort, with high consistency with actual results. Results of decision curve analysis showed that within a threshold range of 0-0.80, the RSF machine learning prediction model provided a better overall net benefit. Further analysis showed that in the validation set, the AUC of RSF machine learning prediction model for postoperative 1-, 2-, and 3-year survival prediction were 0.786 (95% confidence interval as 0.609-0.962), 0.774 (95% confidence interval as 0.676-0.873), and 0.750 (95% confidence interval as 0.652-0.848), respectively. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postopera-tive 1-, 2-, and 3-year overall survival in the validation set, with high consistency with actual results. In the training set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score <11.7 as the low-risk group. The median survival times of the two groups were 18.0 months and >36.0 months, respectively, showing a significant difference between them ( χ2=73.30, P<0.05). In the validation set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score<11.7 as the low-risk group. The median survival times of the two groups were 17.0 months and>36.0 months for the high-risk and low-risk groups, respectively, showing a significant difference between them ( χ2=35.20, P<0.05). Conclusions:Left thoracic surgical approach, preoperative neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia are independent risk factors affecting survival of esophageal cancer patients after radical resection. The RSF machine learning prediction model constructed based on these factors can effectively distinguish the survival prognosis of high-risk and low-risk patients.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Atmospheric particulate matter(PM2.5)is a major contributor to the development and progression of chronic respir-atory diseases(CRD).The mechanisms involved in PM2.5-in-duced CRD are complex,in which airway epithelial barrier im-pairment is a key pathophysiological basis and initial link.PM2.5 exposure results in airway epithelial barrier disruption via various ways,including physical barrier,mucociliary barrier,immune barrier,and respiratory microbiota barrier.Currently,there are few therapeutic interventions targeting the airway epithelial barri-er in CRD.Antioxidants,vitamin D,and traditional Chinese medicine are mainly used as auxiliary regimens but clinical evi-dence is lacking.Understanding these mechanisms may provide a scientific basis for further identifying the mechanism of CRD and seeking novel treatment strategies.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Aim To investigate the protective effect of Siwu decoction(SWD)on immune injury induced by 60Coγ-rays in mice and the related mechanism.Meth-ods C57BL/6J mice were randomly divided into six groups:Control group(Control),Model group(Mod-el),Siwu decoction low-dose group(SWD-L),Siwu decoction medium-dose group(SWD-M),Siwu decoc-tion high-dose group(SWD-H)and resveratrol positive group(Resveratrol,Res).The drug was continued to be administered 11 days before and after irradiation,with a single whole-body irradiation of 4 Gy,and all in-dexes were detected three days after irradiation.The changes of peripheral blood and organ indexes were de-tected.Serum levels of cytokine interferon gamma(IFN-γ),interleukin-1 β(IL-1 β),IL-2,IL-4,IL-6,IL-10,IL-17,transforming growth factor-β(TGF-β),tumor necrosis factor(TNF)-α,and immunoglobulin A(IgA),IgG,IgM,and complement protein 3(C3),C4 content were detected by enzyme-linked immunosorbent assay(ELISA).B lymphocytes,T lymphocytes,NK cells in spleen and T lymphocytes in thymus were de-tected by flow cytometry.The pathological changes of spleen and thymus were analyzed by hematoxylin-eosin(HE)staining.The expression of Sirt 1 protein in spleen after radiation was detected by immunofluores-cence staining.The protein contents of Sirt1,PI3K,Akt,p-Akt and mTOR in spleen were detected by Western blot assay.Results SWD could significantly increase LYMPH％and reduce pathological injury of spleen and thymus.Flow cytometry showed that SWD could significantly increase the percentage of CD19+B lymphocytes in spleen,decrease the percentage of NK lymphocytes and the ratio of CD4+/CD8+in spleen and thymus.ELISA results showed that SWD signifi-cantly inhibited the expression of IL-1 β,IL-2,IL-6,IL-17,IFN-γ,TGF-β,TNF-α,and increased the content of anti-inflammatory factors IL-4 and IL-10.At the same time,SWD significantly inhibited the increase of IgA,IgG,IgM,C3 and C4 induced by radiation.The results of immunofluorescence staining and Western blot showed that SWD could decrease the expression of PI3K,Akt,p-Akt and mTOR protein,and enhance the expression of Sirt1 protein.Conclusions SWD has obvious preventive effect on immune damage induced by 60Co gamma radiation in mice.The mechanism may be related to Sirt1-PI3K-Akt-mTOR.

Soy is a vital source of plant carbohydrates.However,it poses significant allergenic risks,particularly to young children and animals.Among the various proteins in soy,β-conglycinin,which con-stitutes approximately 30％of total soy carbohydrates,is a primary allergen.Undigested β-conglycinin can lead to intestinal damage by inhibiting cell growth,disrupting the cytoskeleton,and inducing apopto-sis.It can also enter the lymphatic and circulatory systems,triggering allergic reactions.Conventional ELISA methods for detecting β-conglycinin rely on polyclonal or monoclonal antibodies,which are limited by their large molecular weight,difficulty in accessing the protein core,and sensitivity to acidic and bas-ic conditions.To address these limitations,this study aimed to develop nanobodies(Nbs)against β-con-glycinin.Nbs,derived from the variable regions of heavy-chain antibodies found in camelids,have a mo-lecular weight approximately one-tenth that of conventional antibodies.They offer advantages such as small size,stable structure,high specificity,and strong affinity.A female alpacas was immunized five times using β-conglycinin,which showed a heavy chain antibody potency of 1∶16 000 by ELISA.Pe-ripheral blood lymphocytes were subsequently isolated and total RNA was extracted.The variable region of the heavy-chain antibody was amplified via PCR,and recombinant plasmids were constructed and transformed into the E.coli competency strain ER2738.The resulting library contained about 3.5×108 CFU/mL,which increased to 1.15×1012 PFU/mL after phage rescue,with a 100％Nbs gene insertion rate,indicating high diversity.Its Nbs phage output was significantly enriched by four rounds of solid-phase elution with an enrichment rate of 155.9.Four rounds of solid-phase panning yielded 35 positive clones,all of which shared the same amino acid sequence upon sequencing.The selected Nb was ex-pressed in a prokaryotic system,and its binding ability to β-conglycinin was confirmed using Western blotting and ELISA.The results demonstrated excellent specificity and affinity.This research lays the groundwork for developing a rapid and efficient detection method for β-conglycinin using Nbs,potentially enhancing food safety and allergen management.

Aim To investigate the protective effect of Siwu decoction(SWD)on immune injury induced by 60Coγ-rays in mice and the related mechanism.Meth-ods C57BL/6J mice were randomly divided into six groups:Control group(Control),Model group(Mod-el),Siwu decoction low-dose group(SWD-L),Siwu decoction medium-dose group(SWD-M),Siwu decoc-tion high-dose group(SWD-H)and resveratrol positive group(Resveratrol,Res).The drug was continued to be administered 11 days before and after irradiation,with a single whole-body irradiation of 4 Gy,and all in-dexes were detected three days after irradiation.The changes of peripheral blood and organ indexes were de-tected.Serum levels of cytokine interferon gamma(IFN-γ),interleukin-1 β(IL-1 β),IL-2,IL-4,IL-6,IL-10,IL-17,transforming growth factor-β(TGF-β),tumor necrosis factor(TNF)-α,and immunoglobulin A(IgA),IgG,IgM,and complement protein 3(C3),C4 content were detected by enzyme-linked immunosorbent assay(ELISA).B lymphocytes,T lymphocytes,NK cells in spleen and T lymphocytes in thymus were de-tected by flow cytometry.The pathological changes of spleen and thymus were analyzed by hematoxylin-eosin(HE)staining.The expression of Sirt 1 protein in spleen after radiation was detected by immunofluores-cence staining.The protein contents of Sirt1,PI3K,Akt,p-Akt and mTOR in spleen were detected by Western blot assay.Results SWD could significantly increase LYMPH％and reduce pathological injury of spleen and thymus.Flow cytometry showed that SWD could significantly increase the percentage of CD19+B lymphocytes in spleen,decrease the percentage of NK lymphocytes and the ratio of CD4+/CD8+in spleen and thymus.ELISA results showed that SWD signifi-cantly inhibited the expression of IL-1 β,IL-2,IL-6,IL-17,IFN-γ,TGF-β,TNF-α,and increased the content of anti-inflammatory factors IL-4 and IL-10.At the same time,SWD significantly inhibited the increase of IgA,IgG,IgM,C3 and C4 induced by radiation.The results of immunofluorescence staining and Western blot showed that SWD could decrease the expression of PI3K,Akt,p-Akt and mTOR protein,and enhance the expression of Sirt1 protein.Conclusions SWD has obvious preventive effect on immune damage induced by 60Co gamma radiation in mice.The mechanism may be related to Sirt1-PI3K-Akt-mTOR.

Objective To investigate the application value of ultrasound guidance combined with X-ray fluoroscopy for percutaneous transhepatic biliary drainage(PTBD).Methods A total of 157 patients with obstructive jaundice who underwent PTBD were selected and then divided into a control group(75 cases)and an observation group(82 cases)according to different guidance methods.The control group underwent puncture and catheterization of the biliary system under the guidance of traditional X-ray fluoroscopy.Meanwhile,the observation group underwent the puncture to the biliary system under ultrasound guidance and the catheterization under X-ray fluoroscopy.The success rates of puncture,operation and initial needle puncture,puncture times,operation time,X-ray fluoroscopy time,radiation dose and complication rate were compared between the two groups.Results Puncture and catheterization were successful in both groups,and the success rates of puncture and operation were all 100％.In the observation group,the success rate of initial needle puncture was 90.24％(74/82),which was higher than 74.67％(56/75)in the control group;the mean puncture times was 1.14,which was less than 1.77 in the control group;the mean operation time was 30.02 min,which was less than 40.09 min in the control group;the mean X-ray fluoroscopy time was 4.03 min,which was less than 6.61 min in the control group;the mean radiation dose was 49.08 mGy,which was less than 82.29 mGy in the control group,and all the differences above between the two groups were statistically significant(P＜0.05).In the observation group,there were 2 cases with biliary hemorrhage,3 cases with biliary infection,and 5 cases with biliary fistula(including 2 cases of secondary biliary peritonitis);while the control group had 10 cases with biliary hemorrhage,15 cases with biliary infection,13 cases with biliary fistula and 9 cases with biliary peritonitis,and the differences between the two groups were statistically significant(P＜0.05).Conclusion Ultrasound guidance combined with X-ray fluoroscopy for PTBD is safe and effective,with significantly short operation time,low radiation dose and fewer complications,which has a certain popularity value in different level hospitals.

Objective:To investigate levels of endothelin-1(ET-1)and Apclin in patients with hypertrophic car-diomyopathy(HCM)and diagnostic value of their combination with ECG for HCM,and their association with prognosis.Methods:A total of 150 HCM patients admitted in the Second Affiliated Hospital of Xi'an Medical Uni-versity between June 2020 and June 2022 were selected as observation group.According to death during follow-up,the observation group was divided into survival group(n=64)and death group(n=86),and another 100 healthy volunteers who underwent physical examination in our hospital simultaneously were selected as control group.ET-1,Apelin and ECG indexes were compared between above-mentioned groups.Diagnostic value of ET-1,Apelin and ECG combined detection for HCM was analyzed by receiver operating characteristic(ROC)curve.Multivariate Logistic regression was used to analyze influencing factors of death within 6-month follow-up in HCM patients,and nomogram model was established.Results:Compared with participants in control group,those in the observa-tion group had significant higher ET-1[(0.64±0.15)pmol/L vs.(0.39±0.07)pmol/L],QRS wave group(∑QRS)[(23.60±3.96)mm vs.(14.02±1.78)mm],Cornell voltage index(SV3+RaVL)[(2.12±0.40)mV vs.(1.05±0.20)mV]and S-wave on V1 lead+R-wave on V5 lead(SV1+RV5)[(3.88±0.73)mV vs.(2.24±0.34)mV],and significant lower Apelin[(1.10±0.25)pg/ml vs.(1.58±0.17)pg/ml]level(P＜0.001 all).ROC curve indicated that the area under the curve(AUC)of combined detection of above five indexes diagno-sing HCM was 0.933(95％CI 0.895～0.961),significantly higher than any single detection(Z=3.681～6.428,P＜0.001 all),the H-L goodness of fit test showed P=0.056,suggesting that the model was well accepted,and DCA showed that ET-1 and Apelin combined ECG detection model had good clinical application value in HCM.Multivariate Logistic regression indicated that ET-1,∑QRS,SV3+RaV and SV1+RV5 were independent risk factors for death within 6-month in HCM patients(OR=2.617～3.600,P＜0.001 all),and Apelin was its inde-pendent protective factor(OR=0.271,P＜0.001).The nomogram model of HCM patients dying within 6 months was 4.627+0.452 × ET-1+0.536 × Apelin+0.575 × ∑QRS+0.541 × SV3+RaVL+0.352 × SV1+RV5.Conclusion:Serum ET-1 and Apelin levels significantly change in HCM patients,and the combination of ECG detection and both indexes have good performance diagnosing HCM and are independent influential factors for the death of HCM patients within 6 months.