ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

Objective To introduce the calculation of the DISO index in multi-dimensional data ranking for disease surveillance, and evaluate its applicability. Methods Using the data from the quality supervision and inspection of infectious disease reporting in Jingzhou City in a certain year as an example, the DISO index was used to rank 16 investigated medical institutions and compared with the TOPSIS method. The consistency between the two evaluation results was analyzed using Spearman correlation. Then, The DISO index from different medical institutions was used to evaluate the ranking of 8 counties (cities, districts). The evaluation indicators for the supervision and inspection included six items: report rate, timely report rate, completeness of report card filling, accuracy of report card filling, consistency rate with network information report, and completeness of valid ID number filling. Results Among the 16 medical institutions, 8 institutions had all six evaluation indicators at 100%. Using the two methods to rank the 16 medical institutions, the two methods showed that the 8 medical institutions with all six evaluation indicators at 100% were ranked first. There was a strong correlation between the rankings of the 16 medical institutions using the two methods (r_s=0.992, P=0.000). The three counties (cities, districts) with all six evaluation indicators at 100% were all ranked first, while country G was ranked seventh and country E was ranked eighth. Conclusion The results of the DISO index and the TOPSIS method were similar in one-dimensional ranking. DISO can be used for multi-dimensional ranking of disease surveillance data and deserves to be promoted and applied.

This paper summarizes Professor LI Diangui's experience in treating vitiligo from the perspective of turbid toxins latent in the collaterals. Based on the theory of turbid-toxin， professor LI proposes that turbid toxins latent in the collaterals and qi-blood disharmony constitute the core pathogenesis of the onset and progression of the disease， and that resolving turbidity and removing toxins while harmonizing qi and blood should serve as the fundamental therapeutic principles. In clinical practice， treatment is tailored according to the evolution of the pathogenesis and syndrome differentiation. When stagnation of qi movement leads to the endogenous accumulation of turbid pathogens， treatment focuses on relieving constraint， dispersing turbidity， soothing the liver， and regulating qi， with a modified self-formulated Kaiyu Sanzhuo Decoction （开郁散浊汤）. When turbid pathogens overflow to the superficial tissues and obstruct the cutaneous collaterals， treatment aims to resolve blood stasis， disperse turbidity， regulate qi， and unblock the collaterals， using a modified self-formulated Tongluo Huazhuo Decoction （通络化浊汤）. When deficiency of healthy qi allows toxins to remain latent and the disease becomes prolonged， treatment emphasizes reinforcing healthy qi， eliminating turbidity， tonifying qi， and nourishing blood， with a modified self-formulated Fuzheng Quzhuo Decoction （扶正祛浊汤）.

Objective:To explore the assessment value of 3.0T magnetic resonance(MR)diffusion weighted imaging(DWI)-apparent diffusion coefficient(ADC)on disease severity in elderly patients with acute pancreatitis(AP).Methods:A total of 68 elderly AP patients who admitted to Weihai Hospital of Traditional Chinese Medicine from August 2023 to September 2024 were retrospectively selected,and they were enrolled in cases group,and 40 healthy persons were included in healthy control group.According to the disease severity,the cases group were divided further into mild-moderate group(n=35)and severe group(n=33).The ADC value and fast diffusion ADC(Ft ADC)fraction of all groups were compared,and receiver operating characteristic(ROC)curve was adopted to evaluate the predictive value of ADC value on the disease severity of AP patients.Results:There were significant differences in ADC values and Ft ADC values among healthy control group,mild-moderate group and severe group(F=30.821,23.145,P＜0.05).The orders of ADC values were as follows from high to low:severe group(0.92±0.24)＞mild-moderate group(0.86±0.23)＞control group(0.58±0.12).The orders of Ft ADC values were as follows from high to low:healthy control group(0.59±0.18)＞mild-moderate group(0.45±0.15)＞severe group(0.35±0.11).The accuracy,sensitivity and specificity of ADC value combined with Ft ADC value were respectively 93.33%,96.23%and 90.38%in diagnosing disease severity.The accuracy and sensitivity of the combined examination were respectively higher than 82.86%and 75.47%of single ADC value,and were respectively higher than 85.71%and 84.91%of single Ft ADC value.Conclusion:With the increasing of disease severity of acute pancreatitis,ADC value gradually decreased,while Ft ADC value gradually increased.The diagnostic efficiency of the combination of ADC value and Ft ADC value for the disease severity were significantly higher than that of single indicator.Therefore,the combined application of ADC value and Ft ADC can help to improve the assessment accuracy for the disease severity of elderly AP patients,which can provide important basis for clinical treatment and disease management.

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.

Liver transplantation (LT) has become a standard treatment for end-stage liver diseases, and graft injury is intricately associated with poor prognosis. Granzyme B (GZMB) plays a vital role in natural killer (NK) cell biology, but whether NK-derived GZMB affects graft injury remains elusive. Through the analysis of single-cell RNA-sequencing data obtained from human LT grafts and the isolation of lymphocytes from mouse livers following ischemia-reperfusion injury (IRI), we demonstrated that 2NK cells with high expression of GZMB are enriched in patients and mice. Both systemically and liver-targeted depletion of NK cells led to a notable reduction in GZMB⁺ cell infiltration, subsequently resulting in diminished graft injury. Notably, the reconstitution of Il2rg ^-/- Rag2 ^-/- mice with purified Gzmb-KO NK cells demonstrated superior outcomes compared to those with wild-type NK cells. Crucially, global knockout of GZMB and pharmacological inhibition exhibited remarkable improvements in liver function in both mouse IRI and rat LT models. Moreover, a phosphorylated derivative of FDA-approved vidarabine was identified as an effective inhibitor of mouse GZMB activity by molecular dynamics, which could provide a potential avenue for therapeutic intervention. Therefore, targeting NK cell-derived GZMB during the LT process suggests potential therapeutic strategies to improve post-transplant outcomes.

Atopic dermatitis (AD) is a prevalent inflammatory skin disorder in which patients experience recurrent eczematous lesions and intense itching. The colonization of Staphylococcus aureus (S. aureus) is correlated with the severity of the disease, but its role in AD development remains elusive. Using single-cell RNA sequencing, we uncovered that keratinocytes activate a distinct immune response characterized by induction of Il24 when exposed to methicillin-resistant S. aureus (MRSA). Further experiments using animal models showed that the administration of recombinant IL-24 protein worsened AD-like pathology. Genetic ablation of Il24 or the receptor Il20rb in keratinocytes alleviated allergic inflammation and atopic march. Mechanistically, IL-24 acted through its heterodimeric receptors on keratinocytes and augmented the production of IL-33, which in turn aggravated type 2 immunity and AD-like skin conditions. Overall, these findings establish IL-24 as a critical factor for onset and progression of AD and a compelling therapeutic target.
Dermatitis, Atopic/genetics* ; Interleukins/metabolism* ; Animals ; Methicillin-Resistant Staphylococcus aureus/immunology* ; Mice ; Keratinocytes/microbiology* ; Humans ; Interleukin-33/immunology* ; Inflammation/microbiology* ; Staphylococcal Infections/microbiology* ; Disease Models, Animal ; Hypersensitivity/microbiology* ; Mice, Inbred C57BL

Objective To explore the application of serum signal transducer and activator of transcription 3(STAT3),histone deacetylase 2(HDAC2),and developmental endothelial locus-1(Del-1)levels in the evaluation of disease severity and prognosis of children with respiratory syncytial virus pneumonia(RSVP).Methods A total of 109 children with RSVP admitted to Jiamusi Central Hospital from November 2023 to March 2025 were enrolled as the RSVP group.Based on disease severity,RSVP patients were categorized into a low-risk group(n=31),a medium-risk group(n=42),and a high-risk group(n=36).According to the prognosis after 7 days of treatment,they were divided into a favorable prognosis group(n=78)and a poor prognosis group(n=31).Additionally,109 healthy children undergoing physical examination at the same hospital during the same period were selected as the normal control group(NC group).ELISA method was used to detect serum levels of STAT3,HDAC2,and Del-1.Pearson correlation analysis was used to explore the correlations between serum STAT3,HDAC2,Del-1 levels and pulmonary function indices.Multivariate logistic regression analysis was used to explore the factors affecting the prognosis of children with RSVP.Moreover,ROC curve was used to explore the predictive value of serum STAT3,HDAC2,and Del-1 levels for the prognosis of children with RSV.Results Compared with the NC group,the RSVP group had higher serum STAT3 and HDAC2 levels,and lower serum Del-1 levels(P<0.05).Serum STAT3 and HDAC2 levels progressively increased from the low-risk group,medium risk group,to high-risk group,while the time to peak ratio(time to peak tidal expiratory flow to total expiratory time ratio,TPTEF/TE),peak volume ratio(volume to peak expiratory flow to total expired volume ratio,VPEF/VE),and serum Del-1 levels progressively decreased(P<0.05).TPTEF/TE and VPEF/VE were prominently negatively correlated with serum STAT3 and HDAC2 levels,and prominently positively correlated with Del-1 levels(P<0.05).Compared with the favorable prognosis group,the poor prognosis group had significantly lower initial blood oxygen saturation,serum Del-1 levels,and significantly higher serum STAT3 and HDAC2 levels(P<0.05).High expression levels of STAT3 and HDAC2 were independent risk factors affecting the prognosis of children with RSVP,while high expression of Del-1 was an independent protective factor(P<0.05).The AUC values of serum STAT3,HDAC2,and Del-1 levels alone in predicting the prognosis of children with RSV were 0.824,0.818,and 0.842,respectively.The combined prediction AUC was 0.947,which was superior to individual predictions(ZSTAT3-joint=2.436,ZHDAC2-joint=2.570,ZDel-1-joint=2.611,all P<0.05).Conclusion Serum expression of STAT3 and HDAC2 is upregulated,while the expression of Del-1 is down-regulated in children with RSVP.The three markers are closely related to the disease severity and pulmonary function indices,and are important factors affecting the prognosis of children with RSVP.Combined detection of these markers demonstrates high efficacy for prognosis evaluation.

Porcine deltacoronavirus(PDCoV)is the main pathogen of porcine deltacoronavirus dis-ease.After infection,pigsmanifest a series of main symptoms,such as persistent vomiting,watery diarrhea and severe dehydration.Pigs at almost all growth stages are likely to be infected with the virus,especially suckling piglets are much sensitive to the virus.Once PDCoV infects the host,it u-sually causes significant immunosuppression.In recent years,studies on the immunosuppressive mechanism of PDCoV have gradually attracted widespread attention.The results showed that mul-tiple proteins of PDCoV were involved in the regulation of host innate immunity,revealing the mechanism of these proteins in regulating host innate immunity.In this paper,the interaction mechanism between PDCoV protein and host innate immunity were rsummarized,which will pro-vide a theoretical basis for further understanding the pathogenesis of PDCoV and effective preven-tion and control of porcine delta coronavirus disease.

To establish a TaqMan-based multiplex RT-qPCR method for the identification of Japa-nese encephalitis virus(JEV),Porcine reproductive and respiratory syndrome virus(PRRSV),and Classical swine fever virus(CSFV),this study designed and synthesized three pairs of specific primers and probes based on the conserved sequences of JEV E,PRRSV ORF6,and CSFV E2 a-vailable in the NCBI GenBank.By optimizing the reaction system and protocol,a multiplex RT-qPCR method for detecting these three viruses was developed and applied to the detection of clini-cal samples.The results showed that the established TaqMan multiplex RT-qPCR specifically am-plified the gene fragments of JEV,PRRSV,and CSFV,and did not amplify other non-target genes,indicating good specificity of the method.Intra-assay and inter-assay repeatability tests showed that the coefficient of variation(Cv)values were all below 3％,demonstrating that the method has ex-cellent repeatability.Sensitivity tests revealed that the minimum detectable amount for the recom-binant plasmids of the three viruses was 100 copies/pL.Using the established method,a total of 969 samples,including blood,aborted fetuses,semen,and deceased pigs,from 26 pig farms in Guizhou Province were tested.The detection rates were 34.3％(332/969)for JEV,28.3％(274/969)for PRRSV,and 19.8％(192/969)for CSFV.The co-infection rates were 10.1％(98/969)for JEV and PRRSV,12.1％(117/969)for JEV and CSFV,and 14.6％(141/969)for CSFV and PRRSV.Additionally,the triple co-infection rate of JEV,PRRSV,and CSFV was 7.9％(77/969).These results indicate that the TaqMan multiplex RT-qPCR method developed in this study is ef-fective for detecting these three viruses in pig farms,providing technical support for identifying vi-ral causes of reproductive disorders.