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.

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 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 explore the role of mitophagy in pancreatic cancer cachexia-induced muscle atrophy and its underlying mechanism.Methods Six male C57BL/6J mice(8 weeks old,weighing 20～30 g)were equally and randomly divided into a control group(intrapancreatic injection of normal saline)and a cachexia group(orthotopic pancreatic injection of KPC1199 cells).After successful model establishment,gastrocnemius muscles were harvested for transmission electron microscopy(TEM)to assess mitochondrial ultrastructure.Western blotting was performed to quantify mitochondrial respiratory chain complexes(Ⅰ～Ⅳ)and autophagy-related proteins,while immunofluorescence staining was conducted to evaluate mitochondrial-lysosomal colocalization.In in vitro experiments,C2C12 myoblasts were differentiated into myotubes,and then divided into a control group(standard culture)and a cachexia group(co-cultured with KPC1199 cells for 48 h using transwell chambers).Mitochondrial-lysosomal colocalization and autophagy-related protein expression were analyzed with immunofluorescence assay and Western blotting.The mitochondrial division inhibitor Mdivi-1(20 μmol/L)was added to the co-culture system to assess its myotube diameter.Results Compared to the control mice,the cachectic mice exhibited mitochondrial swelling,reduced cristae density,and significantly increased mitochondrial-lysosomal colocalization in gastrocnemius muscle(P<0.05).Western blotting revealed the expression levels of mitochondrial respiratory chain proteins complexⅠ(1.00±0.04 vs 0.51±0.04,P<0.05),complexⅡ(1.00±0.13 vs 0.73±0.15,P<0.05),complexⅢ(1.00±0.20 vs 0.64±0.01,P<0.05),complexⅣ(1.00±0.06 vs 0.65±0.02,P<0.05)and PGC1α(1.00±0.03 vs 0.62±0.06,P<0.05)were decreased,and the levels of mitophagy markers,LC3-Ⅰ/Ⅱ(1.00±0.14 vs 1.65±0.25,P<0.05),PINK1(1.00±0.11 vs 1.51±0.05,P<0.05),and BNIP3(1.00±0.22 vs 2.02±0.10,P<0.05)were elevated when compared to the control.In the C2C12 myotube model,tumor cell co-culture increased mitochondrial-lysosomal colocalization and upregulated mitophagy-related protein expression(P<0.05),consistent with the in vivo findings.Mdivi-1 treatment increased myotube diameter from 220.6±35.5 μm to 315.0±39.1 μm(R2=0.666 5,P<0.05).Conclusion Mitophagy is activated in pancreatic cancer cachexia-induced muscle atrophy.Inhibiting mitophagy can effectively alleviate muscle atrophy induced by pancreatic cancer cachexia.

Objective To explore the effects of sigma-1 receptor(Sig-1R)on brain function in rats after cardiopulmo-nary resuscitation and its protective role in brain injury.Methods Rats were randomly assigned to four groups with 20 in each:sham-operated control(sham group),6-hour post-resuscitation(PR 6 h group),12-hour post-resuscitation(PR 12 h group)and 24-hour post-resuscitation(PR 24 h group).In the latter three groups,cardiac arrest was induced by as-phyxiation,and cardiopulmonary resuscitation was performed 6 minutes after cardiac arrest.The rats were scored for neu-rological deficits at 6,12 and 24 hrs after resuscitation,respectively;after that,the rats were executed,and the expres-sion of Sig-1R protein,mitochondrial function index,and endoplasmic reticulum stress index apoptosis index were detec-ted by Western blot and immunohistochemistry.The correlation between Sig-1R and mitochondrial,endoplasmic reticulum stress and apoptosis indexes was evaluated.Results Compared with the sham-operated group,the rats in test group showed a gradual decrease in neurological deficit scores,Sig-1R protein expression,brain tissue adenosine triphos-phate(ATP)concentration and mitochondrial membrane potential(MMP)levels at 6,12,and 24 hrs of PR(P＜0.05);CHOP protein,activated cleaved caspase-12 and cleaved caspase-3 protein expression were consistently elevated(P＜0.05).In addition,Sig-1R was negatively correlated with brain tissue endoplasmic reticulum stress and apoptosis(P＜0.05)but positively correlated with mitochondrial membrane potential level(P＜0.05).Conclusions Sig-1R ex-pression in rat brain tissue correlates with brain injury after cardiopulmonary resuscitation and potential mechanism seems to be neuronal protection through modulating mitochondrial function and endoplasmic reticulum stress.

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.

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.