The aim of this paper was to investigate the serotypes,virulence factors and drug resist-ance of clinical isolates of Pasteurella rnultocida of porcine origin in recent years.Morphological screening and polymerase chain reaction(PCR)were used to isolate and identify 119 isolates from nasal swabs and lung tissue samples sent from swine farms in Zhejiang Province from 2010 to 2024.The isolates of Pasteurella multocida were subjected to capsular polysaccharide serotyping,lipopolysaccharide serotyping,virulence factor detection and drug resistance analysis by PCR and Kirby-Bauer disc agar diffusion method(K-B).The results showed that there were 64 strains(53.7％)of A-type,54 strains(45.3％)of D-type and 1 strain(0.9％)of F-type among the capsu-lar polysaccharide serotypes,and 10 strains(8.4％)of L1-type,20 strains(16.8％)of L3-type,86 strains(72.2％)of L6-type,and 3 strains(2.6％)of undetermined type among the lipopolysaccha-ride serotypes.The amplification results of 10 virulence genes showed that the detection rate of virulence genes hgbA,higbB and fimA was over 86.0％,the detection rate of toxA was 8.4％,while the virulence gene tbpA was not detected.There were also differences in the distribution vir-ulence genes in different capsular polysaccharide serotypes.Virulence factor pfhA was detected in type A and F but not in type D.The detection rate of adhesin gene tadD in serotype A(92.2％)was significantly higher than that of type D(9.3％),and,on the contrary,the detection rate of ad-hesin gene hsf-l in serotype D(90.7％)was significantly higher than that of type A(20.3％).Drug resistance analysis revealed that Pasteurella multocida showed high susceptibility to antimi-crobial drugs such as amoxicillin,ampicillin,cephalosporins,doxycycline,fosfenicol and ciprofloxa-cin,and showed strong resistance to antimicrobial drugs such as lincomycin,cotrimoxazole,genta-micin and amikacin,and there were 54 multi-drug resistant strains(78.3％).In summary,capsular polysaccharide serotypes were dominated by type A and D,lipopolysaccharide serotypes were dom-inated by L6,the distribution of some virulence genes varied greatly among different serotypes,and the proportion of multi-resistant strains was high,which provide reference for the prevention and control of this disease.

Alzheimer's disease(AD),a neurodegenerative disorder,manifests pathological changes in the brain even during the asymptomatic stage.As the pathological burden intensifies,patients experience functional decline in multiple cognitive domains,including memory,language,spatial perception,executive function,and calculation,and may also exhibit emotional abnormalities.Once AD progresses,treatment becomes extremely chal-lenging.Therefore,early diagnosis and accurate prediction of disease conversion are core tasks in the prevention and treatment of AD,and they are also urgent scientific research challenges to be overcome.Deep learning(DL)models demonstrate considerable advantages in the diagnosis,prediction,classification,and feature extraction of AD,offering new hope for solving this challenging problem.This research commences with a concise introduction to the outcomes of AD and the fundamental knowledge of deep learning.Subsequently,it offers an overview of the imaging studies on the utilization of deep learning for predicting disease transformation from two perspectives.Firstly,it systematically summarizes the existing DL models that have demonstrated innovation in the classification and prediction performance of AD.Secondly,it provides a comprehensive outline of the DL fusion models applied to the diagnosis,classification,and prediction of AD.Finally,this paper expounds upon the impending challenges in the research of this domain.This article demonstrates that deep learning models is cutting-edge trends in the ex-ploration of AD research.

Objective:To establish and validate a predictive model for non-curative resection of rectal neuroendocrine tumors (R-NETs) ≤20 mm.Methods:Data from patients with R-NETs treated at the First Affiliated Hospital of Soochow University and the Suzhou Ninth People's Hospital from January 2013 to December 2023 were retrospectively analyzed. Clinical data, endoscopic findings, and pathological characteristics were analyzed. Univariate analysis was performed using independent sample t-tests and Chi-square tests. Variables were screened using the forward stepwise binary logistic regression to establish a risk prediction model for non-curative resection of R-NETs ≤20 mm, with subsequent construction of a nomogram. The performance of the model was evaluated using the receiver operating characteristic (ROC) curve. The consistency between predicted and observed probabilities was assessed using calibration curves, and the clinical net benefit of the model was evaluated using decision curve analysis. Results:A total of 213 patients were included, with age of 50.53±11.42 years, and 102 (47.9%) were male. The distance of the lesion from the dentate line was 7.11±2.79 cm, and the tumor long diameter was 8.24±3.75 mm. Compared to curative resection cases, non-curative resection cases were more likely to exhibit tumor surface depression, higher tumor G-stage, higher Ki-67 index and higher chromograninA (CgA) positivity rate ( P<0.05). Through forward variable selection in binary logistic regression, a model was established with Ki-67 index ( P=0.014, OR=1.214, 95% CI: 1.039-1.417), surface depression ( P=0.027, OR=2.348, 95% CI: 1.100-5.013), and CgA positivity ( P<0.001, OR=5.399, 95% CI: 2.764-10.544) as parameters, with a corresponding nomogram. The area under the ROC curve of the model was 0.766 (95% CI: 0.696-0.837), and clinical decision curve analysis confirmed its good clinical net benefit. The calibration curve showed good consistency between predicted and observed probabilities. Conclusion:This study establishes a risk prediction model for non-curative resection of R-NETs ≤20 mm based on surface depression, Ki-67 index, and CgA positivity. The model demonstrates strong predictive performance and offers valuable guidance for clinical endoscopists.

Objective To explore the mechanism of Yizhu Wendan Decoction in treating eczema through GEO database combined with network pharmacology and experimental verification.Methods TCMSP,BATMAN-TCM and ETCM databases were used to screen the active components of Yizhu Wendan Decoction.Disease target information related to eczema was collected through GEO database.The drug-component-target network and PPI network were constructed by intersections of active component targets and disease targets.GO and KEGG pathway enrichment analyses were performed using DAVID database.CCK-8 method was used to screen out the optimal intervention concentration of freeze-dried powder of Yizhu Wendan Decoction.HaCaT cells were divided into control group,model group,Yizhu Wendan Decoction low concentration group,Yizhu Wendan Decoction high concentration group,si-IL-17RA group,si-IL-17RA+Yizhu Wendan Decoction low concentration group,si-IL-17RA+Yizhu Wendan Decoction high concentration group,Dexamethasone group,si-IL-17RA+Dexamethasone group.Each group was given relevant intervention.The expressions of chemokines and inflammatory factors were detected by qPCR.EdU and Annexin V-FITC/PI double staining were used to detect cell proliferation and apoptosis.Western blot was performed to detect the expressions of proteins related to apoptosis,skin barrier and IL-17 signaling pathway.Results By using databases,180 active components of Yizhu Wendan Decoction were obtained.Combined with GEO database microarrays related to eczema(GSE6012 and GSE57225),8 potential targets of Yizhu Wendan Decoction in the treatment of eczema were obtained.KEGG enrichment pathway mainly involved IL-17 signaling pathway,lipid and atherosclerotic,TNF signaling pathway,fluid shear stress and atherosclerotic,etc.When Yizhu Wendan Decoction freeze-dried powder concentration was 100 μg/mL,cell viability was the strongest.Yizhu Wendan Decoction could significantly inhibit the mRNA expressions of chemokines and inflammatory factors CCL17,CCL22,IL-1β,TNF-α,IL-6,IFN-γ,and increase the mRNA expression of IL-4 in eczema.It promoted the proliferation of HaCaT cells,increased the protein expression of Bcl-2,and reduced the protein expressions of Bad and Cleaved Caspase-3,thus inhibiting HaCaT cells apoptosis;promoted the protein expressions of FLG and LOR,and reduced the expression of MMP9,MMP1,CCL2,FOSL1,IL-17RA proteins in IL-17 signaling pathway.Conclusion Yizhu Wendan Decoction can treat eczema with multiple components,multiple pathways and multiple targets,promote the proliferation of HaCaT cells,inhibit their apoptosis,and restore the skin barrier.Its mechanism may be related to inhibiting the activation of IL-17 signaling pathway.

OBJECTIVE Based on the Heracles NEO ultra-fast gas phase electronic nose,to analyze the odor composition of Abutili Semen before and after stir-frying,and to establish an effective and rapid identification method of raw and stir-frying Abutili Se-men based on odor.METHODS The decoction pieces of Abutili Semen were prepared by stir-frying method.An ultra-fast gas-phase electronic nose method was established for the detection of Abutili Semen before and after stir-frying,the odor spectrum was col-lected,and the possible odor components and chromatographic peak areas were obtained in combination with the AroChemBase data-base,and analyzed by chemometric model.RESULTS The odor fingerprints of Abutili Semen before and after stir-frying were estab-lished,and 19 odor peaks were matched between Abutili Semen decoction pieces and stir-fried Abutili Semen.The peak areas of 7 odor components,hexanal,2-furanmethanol,2-methyl-2-propanol,2-methylbutanal,3-methylbutanal,2-methylpropanal,2,3,5-trim-ethylpyrazine,all increased after stir-frying,and the VIP values of the peaks were greater than 1(P<0.05),which were presumed to be the markers for the differences in the odors of Abutili Semen before and after stir-frying.CONCLUSION The Heracles NEO ul-tra-fast gas phase electronic nose can quickly identify the odor components of Abutili Semen before and after frying,which can provide new ideas and methods for quality control of Abutili Semen.

OBJECTIVE Based on the Heracles NEO ultra-fast gas phase electronic nose,to analyze the odor composition of Abutili Semen before and after stir-frying,and to establish an effective and rapid identification method of raw and stir-frying Abutili Se-men based on odor.METHODS The decoction pieces of Abutili Semen were prepared by stir-frying method.An ultra-fast gas-phase electronic nose method was established for the detection of Abutili Semen before and after stir-frying,the odor spectrum was col-lected,and the possible odor components and chromatographic peak areas were obtained in combination with the AroChemBase data-base,and analyzed by chemometric model.RESULTS The odor fingerprints of Abutili Semen before and after stir-frying were estab-lished,and 19 odor peaks were matched between Abutili Semen decoction pieces and stir-fried Abutili Semen.The peak areas of 7 odor components,hexanal,2-furanmethanol,2-methyl-2-propanol,2-methylbutanal,3-methylbutanal,2-methylpropanal,2,3,5-trim-ethylpyrazine,all increased after stir-frying,and the VIP values of the peaks were greater than 1(P<0.05),which were presumed to be the markers for the differences in the odors of Abutili Semen before and after stir-frying.CONCLUSION The Heracles NEO ul-tra-fast gas phase electronic nose can quickly identify the odor components of Abutili Semen before and after frying,which can provide new ideas and methods for quality control of Abutili Semen.

Objective:To investigate the anti-inflammatory action and mechanism of action of rosmarinic acid(RA),a Chi-nese monomeric herbal compound based on the NF-κB/NLRP3 pathway in a rat model of acute gouty arthritis(AGA).Methods:Forty healthy male SD rats were randomly assigned to five groups,and the model and drug administration groups were established a rat model of AGA by injecting a suspension of sodium urate crystals(MSU)into the joint cavity of the right paw of the rats.The degree of ankle joint swelling was measured using vernier calipers and stained with hematoxylin-eosin(HE).The inflammatory infiltration of the ankle joint and chondrocyte shedding was observed by staining with Safranine O-fast green(SOFG)and Mankin's score.The levels of IL-6,IL-1β and TNF-α in the right ankle joint of rats were determined by ELISA and the expression of NF-κB/NLRP3 pathway-associated proteins in the ankle joint were measured by Western blot.Results:Injection of MSU suspension into the ankle successfully induced AGA in rats.Compared with control group,the rats in model group showed significantly increased ankle swelling(P<0.01),greater in-flammatory infiltration,significant chondrocyte detachment,significantly increased secretion of IL-1β,IL-6 and TNF-α(P<0.01)and increased expressions of NF-κB/NLRP3 pathway-related proteins.Compared with model group,RA showed greater anti-inflamma-tory effects,dose-dependently inhibiting the development of ankle swelling in rats(P<0.01,P<0.001)and inhibited inflammatory cy-tokine infiltration.RA inhibited the secretion of inflammatory cytokines IL-6,IL-1β,TNF-α(P<0.01)and inhibited the expressions of proteins associated with the NF-κB/NLRP3 pathway(P<0.01).Conclusion:RA shows potent anti-inflammatory effects in a mouse model of AGA,and the mechanism is associated with regulation of the NF-κB/NLRP3 pathway.

The aim of this paper was to investigate the serotypes,virulence factors and drug resist-ance of clinical isolates of Pasteurella rnultocida of porcine origin in recent years.Morphological screening and polymerase chain reaction(PCR)were used to isolate and identify 119 isolates from nasal swabs and lung tissue samples sent from swine farms in Zhejiang Province from 2010 to 2024.The isolates of Pasteurella multocida were subjected to capsular polysaccharide serotyping,lipopolysaccharide serotyping,virulence factor detection and drug resistance analysis by PCR and Kirby-Bauer disc agar diffusion method(K-B).The results showed that there were 64 strains(53.7％)of A-type,54 strains(45.3％)of D-type and 1 strain(0.9％)of F-type among the capsu-lar polysaccharide serotypes,and 10 strains(8.4％)of L1-type,20 strains(16.8％)of L3-type,86 strains(72.2％)of L6-type,and 3 strains(2.6％)of undetermined type among the lipopolysaccha-ride serotypes.The amplification results of 10 virulence genes showed that the detection rate of virulence genes hgbA,higbB and fimA was over 86.0％,the detection rate of toxA was 8.4％,while the virulence gene tbpA was not detected.There were also differences in the distribution vir-ulence genes in different capsular polysaccharide serotypes.Virulence factor pfhA was detected in type A and F but not in type D.The detection rate of adhesin gene tadD in serotype A(92.2％)was significantly higher than that of type D(9.3％),and,on the contrary,the detection rate of ad-hesin gene hsf-l in serotype D(90.7％)was significantly higher than that of type A(20.3％).Drug resistance analysis revealed that Pasteurella multocida showed high susceptibility to antimi-crobial drugs such as amoxicillin,ampicillin,cephalosporins,doxycycline,fosfenicol and ciprofloxa-cin,and showed strong resistance to antimicrobial drugs such as lincomycin,cotrimoxazole,genta-micin and amikacin,and there were 54 multi-drug resistant strains(78.3％).In summary,capsular polysaccharide serotypes were dominated by type A and D,lipopolysaccharide serotypes were dom-inated by L6,the distribution of some virulence genes varied greatly among different serotypes,and the proportion of multi-resistant strains was high,which provide reference for the prevention and control of this disease.

Alzheimer's disease(AD),a neurodegenerative disorder,manifests pathological changes in the brain even during the asymptomatic stage.As the pathological burden intensifies,patients experience functional decline in multiple cognitive domains,including memory,language,spatial perception,executive function,and calculation,and may also exhibit emotional abnormalities.Once AD progresses,treatment becomes extremely chal-lenging.Therefore,early diagnosis and accurate prediction of disease conversion are core tasks in the prevention and treatment of AD,and they are also urgent scientific research challenges to be overcome.Deep learning(DL)models demonstrate considerable advantages in the diagnosis,prediction,classification,and feature extraction of AD,offering new hope for solving this challenging problem.This research commences with a concise introduction to the outcomes of AD and the fundamental knowledge of deep learning.Subsequently,it offers an overview of the imaging studies on the utilization of deep learning for predicting disease transformation from two perspectives.Firstly,it systematically summarizes the existing DL models that have demonstrated innovation in the classification and prediction performance of AD.Secondly,it provides a comprehensive outline of the DL fusion models applied to the diagnosis,classification,and prediction of AD.Finally,this paper expounds upon the impending challenges in the research of this domain.This article demonstrates that deep learning models is cutting-edge trends in the ex-ploration of AD research.

Objective:To establish and validate a predictive model for non-curative resection of rectal neuroendocrine tumors (R-NETs) ≤20 mm.Methods:Data from patients with R-NETs treated at the First Affiliated Hospital of Soochow University and the Suzhou Ninth People's Hospital from January 2013 to December 2023 were retrospectively analyzed. Clinical data, endoscopic findings, and pathological characteristics were analyzed. Univariate analysis was performed using independent sample t-tests and Chi-square tests. Variables were screened using the forward stepwise binary logistic regression to establish a risk prediction model for non-curative resection of R-NETs ≤20 mm, with subsequent construction of a nomogram. The performance of the model was evaluated using the receiver operating characteristic (ROC) curve. The consistency between predicted and observed probabilities was assessed using calibration curves, and the clinical net benefit of the model was evaluated using decision curve analysis. Results:A total of 213 patients were included, with age of 50.53±11.42 years, and 102 (47.9%) were male. The distance of the lesion from the dentate line was 7.11±2.79 cm, and the tumor long diameter was 8.24±3.75 mm. Compared to curative resection cases, non-curative resection cases were more likely to exhibit tumor surface depression, higher tumor G-stage, higher Ki-67 index and higher chromograninA (CgA) positivity rate ( P<0.05). Through forward variable selection in binary logistic regression, a model was established with Ki-67 index ( P=0.014, OR=1.214, 95% CI: 1.039-1.417), surface depression ( P=0.027, OR=2.348, 95% CI: 1.100-5.013), and CgA positivity ( P<0.001, OR=5.399, 95% CI: 2.764-10.544) as parameters, with a corresponding nomogram. The area under the ROC curve of the model was 0.766 (95% CI: 0.696-0.837), and clinical decision curve analysis confirmed its good clinical net benefit. The calibration curve showed good consistency between predicted and observed probabilities. Conclusion:This study establishes a risk prediction model for non-curative resection of R-NETs ≤20 mm based on surface depression, Ki-67 index, and CgA positivity. The model demonstrates strong predictive performance and offers valuable guidance for clinical endoscopists.