OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

Disease X refers to a new type of infectious disease that has not yet been identified or named as a poten-tial global pandemic,which poses a serious threat to human health.It is characterized by high contagiousness,rapid transmission,widespread susceptibility of the population,and the absence of effective treatment options or vaccines in the early stages.Since the World Health Organization(WHO)proposed the concept of disease X in 2018,new pathogens of disease such as the novel coronavirus and monkeypox virus X have been constantly e-merged.The pandemic of novel coronavirus infection has caused great harm to the global economy and human health,and other new pathogens may emerge in the future.It aims to reduce the harm to human beings by strengthening the knowledge about disease X and taking appropriate countermeasures.This article provides a com-prehensive overview of disease X from four aspects:the concept,characteristics,possible pathogens and counter-measures of disease X,and proposes the scientific countermeasures to disease X such as strengthening surveil-lance,improving capabilities of rapid detection,taking appropriate control measures,actively conducting vaccine research and development and treatment research,and boosting global cooperation and information sharing so as to provide bases for coping with the disease X that may occur in the future.

Objective To compare the impact of NaClO and EDTA pretreatment on the enamel surfaces pore exposure rate,resin in-filtration effectiveness and shear bond strength between the enamel white spot lesions(WSLs)and resin composite.Methods A total of 104 sound premolars were selected for the study.4 mm×4 mm×2 mm enamel blocks from 64 sound premolars were cut in the center of the buccal surfaces of the teeth.All blocks were randomly divided into five groups:group SE(sound enamels as negative control);group DE(enamel blocks demineralised as positive control);group RI(resin infiltration);group N/RI(5.25％NaClO pretreatment and resin infiltration)and group E/RI(17％EDTA pretreatment and resin infiltration).The pore exposure rate of enamel surfaces and resin penetration depths were observed by scanning electron microscopy(SEM)and confocallaser scanning microscopy(CLSM)in each group.The remaining 40 premolars were cut from the cervical roots and the residual crowns were embedded in self-condensing resin ma-terial(buccal surfaces of the enamel exposed only).According to the grouping information,the samples were given the corresponding pretreatments and resin infiltration respectively and were bonded with a cylindrical resin cylinder on the buccal enamel surface for shear bond test.The shear bond strength and fracture modes were recorded and analyzed in each group.Results Compared to group RI,the pore exposure rate of the enamel surface,resin penetration depths,and percentage of resin penetration area in the N/RI and E/RI groups were significantly increased(P＜0.05).The shear bond strength of the samples in group SE was the highest,and the lowest in group DE.Compared to group DE,the shear bond strength in groups RI,N/RI,and E/RI was significantly increased(P＜0.05).Con-clusion Enamel surface pretreatment with 5.25％NaClO or 17％EDTA has been demonstrated to effectively enhance the enamel pore exposure rate,resin penetration depth and the shear bond strength between WSLs and resin composite.

Objective To extract the core elements and connotation definitions of the concept of organizational resilience of County Medical Community (CMC),in order to explore effective ways to enhance the organizational resilience of CMC.Methods Based on the Atomic spectrum,as of October 31,2023,52 articles related to organizational resilience in the health system were included for concept images extraction,calculating the frequency and occurrence rate of concept images,extracting the concept of organizational resilience in the health system,and deducing the core elements and definitions of the concept of organizational resilience in CMC were derived through the comparison of similarities and differences.Results Although both the healthcare system and the CMC are composite organizations,there are differences in environmental pressure,organizational size,and resource reserves.The concept of organizational resilience of CMC is defined as the advanced process of resilience functions exhibited by CMC in response to emergencies,internal and external threats,and social pressures that constrain the sustainable development of the organization,including redundant preparation,stable recovery,and response to growth,as well as their ability to absorb,adapt,and transform disruptive events.This not only maintains the basic structure and functions of the organization,but also enables the organization to grow against the trend.Conclusion Breaking through the traditional hierarchical structure in terms of structural resilience,achieving a deep integration and coordination mechanism of the medical community horizontally and vertically.Breaking through traditional static planar functions in terms of functional resilience,enhancing the driving force within the medical community through dynamic growth mechanisms.

Disease X refers to a new type of infectious disease that has not yet been identified or named as a poten-tial global pandemic,which poses a serious threat to human health.It is characterized by high contagiousness,rapid transmission,widespread susceptibility of the population,and the absence of effective treatment options or vaccines in the early stages.Since the World Health Organization(WHO)proposed the concept of disease X in 2018,new pathogens of disease such as the novel coronavirus and monkeypox virus X have been constantly e-merged.The pandemic of novel coronavirus infection has caused great harm to the global economy and human health,and other new pathogens may emerge in the future.It aims to reduce the harm to human beings by strengthening the knowledge about disease X and taking appropriate countermeasures.This article provides a com-prehensive overview of disease X from four aspects:the concept,characteristics,possible pathogens and counter-measures of disease X,and proposes the scientific countermeasures to disease X such as strengthening surveil-lance,improving capabilities of rapid detection,taking appropriate control measures,actively conducting vaccine research and development and treatment research,and boosting global cooperation and information sharing so as to provide bases for coping with the disease X that may occur in the future.

Objective To compare the impact of NaClO and EDTA pretreatment on the enamel surfaces pore exposure rate,resin in-filtration effectiveness and shear bond strength between the enamel white spot lesions(WSLs)and resin composite.Methods A total of 104 sound premolars were selected for the study.4 mm×4 mm×2 mm enamel blocks from 64 sound premolars were cut in the center of the buccal surfaces of the teeth.All blocks were randomly divided into five groups:group SE(sound enamels as negative control);group DE(enamel blocks demineralised as positive control);group RI(resin infiltration);group N/RI(5.25％NaClO pretreatment and resin infiltration)and group E/RI(17％EDTA pretreatment and resin infiltration).The pore exposure rate of enamel surfaces and resin penetration depths were observed by scanning electron microscopy(SEM)and confocallaser scanning microscopy(CLSM)in each group.The remaining 40 premolars were cut from the cervical roots and the residual crowns were embedded in self-condensing resin ma-terial(buccal surfaces of the enamel exposed only).According to the grouping information,the samples were given the corresponding pretreatments and resin infiltration respectively and were bonded with a cylindrical resin cylinder on the buccal enamel surface for shear bond test.The shear bond strength and fracture modes were recorded and analyzed in each group.Results Compared to group RI,the pore exposure rate of the enamel surface,resin penetration depths,and percentage of resin penetration area in the N/RI and E/RI groups were significantly increased(P＜0.05).The shear bond strength of the samples in group SE was the highest,and the lowest in group DE.Compared to group DE,the shear bond strength in groups RI,N/RI,and E/RI was significantly increased(P＜0.05).Con-clusion Enamel surface pretreatment with 5.25％NaClO or 17％EDTA has been demonstrated to effectively enhance the enamel pore exposure rate,resin penetration depth and the shear bond strength between WSLs and resin composite.

RNA binding motif protein 8A(RBM8A)is an RNA binding protein,which is mainly in-volved in translation and cell cycle regulation.In addition,RBM8A is a core factor of the exon-junc-tion complex(EJC),which is highly expressed in cells,especially in cancer cells,and abnormally expressed in cytoplasm and nucleus.Studies have shown that RBM8A plays a key regulatory role in the replication process of some viruses,such as Flaviviridae viruses.Therefore,whether RBM8A is involved in the replication of pseudorabies virus(PRV)is unknown.Therefore,this study proved whether RBM8A is involved in the replication of PRV.In order to study the effect of RBM8A pro-tein on PRV replication,the eukaryotic expression plasmid pCAGGS-HA-RBM8A was designed and constructed to express RBM8A,and sh-RBM8A was simultaneously designed and constructed to overexpress and inhibit RBM8A.qRT-PCR and Western blot were used to detect the effect of RBM8A on PRV replication.At the same time,PRV-GB standard plasmid was constructed to make PRV proliferation standard curve.After overexpression and inhibition of RBM8A,DNA was ex-tracted.Virus copy number was calculated by qRT-PCR to further detect the effect of RBM8A on PRV replication.The results showed that overexpression of RBM8A inhibited PRV replication and decreased the copy number of the virus,while overexpression of shRBM8A promoted PRV replication and increased the copy number of the virus.This study shows that RBM8A can inhibit PRV replication,which provides reference for the functional study of RBM8A and lays a founda-tion for the mechanism of anti-PRV replication.

Objective This study aimed to investigate the value of PET/CT radiomics combined with machine learning in differentia-ting primary central nervous system lymphoma(PCNSL)from brain metastases(BM).Methods Sixty-nine patients with 127 lesions(including 43 PCNSL lesions and 84 BM lesions)who attended the Department of Nuclear Medicine of Lanzhou University Second Hospi-tal from January 2019 to November 2024 were selected and divided into a training set(n=88)and a validation set(n=39)in a 7∶3 rati-o.Radiomics features of PET and CT were extracted using the 3D slicer,and feature dimensionality reduction was performed using least absolute shrinkage and selection operator(LASSO)regression combined with 5-fold cross-validation to construct three classical machine learning models-Logistic regression(LR),decision tree(DT),and support vector machine(SVM),and the diagnostic efficacy of each model was evaluated using receiver operating characteristic(ROC)curves and confusion matrices.Results The SVM model based on PET imaging performed best in the validation set[area under the curve(AUC)=0.917,sensitivity=84.6％,specificity=92.3％]and was significantly better than the CT model(AUC=0.787,sensitivity=73.1％,specificity=76.9％).Conclusion The support vector machine model constructed based on PET radiomics metabolic features demonstrated high diagnostic value in the preoperative differentia-tion between PCNSL and BM,showing potential for clinical application as a non-invasive auxiliary diagnostic tool.

Objective To explore the mechanism of GS-9620 in improving imiquimod(IMQ)-induced psoriasis-like inflammation by regulating the Th1/Th17-related immune response,and to investigate its regulatory effect on the gut microbiota in mice.Methods An IMQ-induced psoriasis-like inflammation model was established in BALB/c mice.The severity of the skin lesions was evaluated by psoriasis area and severity index(PASI)score.The proportions of CD4+interleukin(IL)-17+and CD4+interferon(IFN)-γ+cells in spleen tissue were detected by flow cytometry.Levels of the inflammatory factors tumor necrosis factor(TNF)-α,IL-1β,and IL-6 in skin tissues were determined by enzyme-linked immunosorbent assay,and pathological analysis was performed by hematoxylin/eosin staining.The effects of GS-9620 on the structure of the gut microbiota in control,IMQ model,and GS-9620-treated mice were detected by 16S rRNA sequencing.Results GS-9620 significantly reduced the PASI score in IMQ-induced mice and effectively reduced the proportions of CD4+IL-17+and CD4+IFN-γ+cells in the spleen.GS-9620 also significantly down-regulated the expression levels of TNF-α,IL-1β,and IL-6 in skin tissues.16S rRNA sequencing showed that GS-9620 significantly regulated the abundance of gut microbiota related to inflammation,including the relative abundances of bacteria such as Lachnospiraceae_NK4A136_group,Lachnospiraceae_UCG-008,Alloprevotella,Desulfovibrio,Prevotellaceae_UCG-001,and Alistipes.Conclusions GS-9620 effectively alleviates IMQ-induced psoriasis-like skin inflammation in mice by regulating the expression of Th1/Th17-related inflammatory factors.It may also improve IMQ-induced clinical symptoms by regulating the structure of the gut microbiota,thus providing a new theoretical basis for the treatment of psoriasis.The result of this study provide important experimental evidence to support further investigations into the application of GS-9620 for the treatment of psoriasis.

Objective This study aimed to investigate the value of PET/CT radiomics combined with machine learning in differentia-ting primary central nervous system lymphoma(PCNSL)from brain metastases(BM).Methods Sixty-nine patients with 127 lesions(including 43 PCNSL lesions and 84 BM lesions)who attended the Department of Nuclear Medicine of Lanzhou University Second Hospi-tal from January 2019 to November 2024 were selected and divided into a training set(n=88)and a validation set(n=39)in a 7∶3 rati-o.Radiomics features of PET and CT were extracted using the 3D slicer,and feature dimensionality reduction was performed using least absolute shrinkage and selection operator(LASSO)regression combined with 5-fold cross-validation to construct three classical machine learning models-Logistic regression(LR),decision tree(DT),and support vector machine(SVM),and the diagnostic efficacy of each model was evaluated using receiver operating characteristic(ROC)curves and confusion matrices.Results The SVM model based on PET imaging performed best in the validation set[area under the curve(AUC)=0.917,sensitivity=84.6％,specificity=92.3％]and was significantly better than the CT model(AUC=0.787,sensitivity=73.1％,specificity=76.9％).Conclusion The support vector machine model constructed based on PET radiomics metabolic features demonstrated high diagnostic value in the preoperative differentia-tion between PCNSL and BM,showing potential for clinical application as a non-invasive auxiliary diagnostic tool.