Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.

To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions.

Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.

Background Amid global climate change, extreme environmental events are occurring more frequently, and it is imperative to investigate the impacts of combined exposure to fine particluate matter (PM_2.5) and cold spells (CS) on population mortality. Objective To analyze the association between sequential extreme PM_2.5-cold spell (EP-CS) events and non-accidental mortality among residents in Zigong City from 2016 to 2021. Methods Using time-series study design, meteorological data in Zigong were collected from the Zigong Meteorological Bureau for the period from January 1, 2016 to December 31, 2021, while daily non-accidental mortality data were obtained from the mortality surveillance system of the Zigong Center for Disease Control and Prevention. We adopted the percentile method to define extreme PM_2.5 events and cold spells. We analyzed the risk effect of EP-CS events on non-accidental mortality among residents in this city and explored the potential amplification of damage resulting from different patterns of consecutive extreme events by using distributed lag nonlinear model (DLNM). We also conducted stratified analyses based on age, gender, education level, and marital status. Results The EP-CS events demonstrated a significant impact on non-accidental mortality among the local residents, exhibiting a certain lagged effect. The effects on the overall residents lasted from lag0 (RR=1.030, 95%CI: 1.013, 1.048) to lag14 (RR=1.035, 95%CI: 1.019, 1.052). Notably, the effects were more pronounced among females, individuals aged 65 years and above, and those who were never married, divorced, or widowed. Different patterns of EP-CS events all associated with adverse effects, the health impact of EP-CS events was significantly greater than that of individual PM_2.5 pollution or CS events. The analysis of lag effects across different event patterns revealed that the overall effect of EP-CS events with shorter intervals (0–7 d) had a stronger effect compared to EP-CS with longer intervals (8–14 d), and the RR values of lag14 were 1.034 (95%CI: 1.015, 1.054) and 1.017 (95%CI: 1.007, 1.027), suggesting that the damaging effect of compound events occurring in the short term was more significant. Conclusion All sequential extreme EP-CS events have an impact on non-accidental mortality among residents in this city, with compound events demonstrating a stronger effect. Females, individuals aged ≥65 years, and those who were never married, divorced, or widowed are more sensitive to EP-CS events.

Objective To explore the mechanism of Quhan Zhufeng Mixture on proliferation and apoptosis of rheumatoid arthritis fibroblast-like synoviocyte(RA-FLS)based on NDRG2/JAK2/STAT3 signaling pathway.Methods RA-FLS cells were cultured in vitro,and were divided into ① blank serum group,methotrexate group,Quhan Zhufeng Mixture low-,medium-and high-dosage groups;② blank serum group,AG490 group,Quhan Zhufeng Mixture low-,medium-and high-dosage groups.Different concentrations of drug-containing serum were used to intervene cells.Cell proliferation was detected by CCK-8 method,apoptosis was detected by flow cytometry,and mRNA expressions of Bax,Bcl-2,Caspace-3,Caspace-9,N-myc downstream regulatory gene 2(NDRG2),Janus kinase 2(JAK2)and signal transduction and transcription activator 3(STAT3)were detected by RT-qPCR,Western blot was used to detect the protein expressions of Bax,Bcl-2,Caspace-3,Caspace-9,NDRG2,JAK2,STAT3,p-JAK2 and p-STAT3 in cells.Results Compared with the blank serum group,cell survival rate in methotrexate group,Quhan Zhufeng Mixture all dosage groups significantly decreased(P<0.01),the apoptosis rate significantly increased(P<0.01),the mRNA and protein expressions of Bax and Caspase-9 significantly increased(P<0.05,P<0.01),while the mRNA and protein expression of Bcl-2 significantly decreased(P<0.01),and Caspase-3 mRNA and protein expression in methotrexate group and Quhan Zhufeng Mixture medium-and high-dosage groups significantly increased(P<0.01).Compared with the blank serum group,the mRNA and protein expression of NDRG2 significantly increased in Quhan Zhufeng Mixture all dosage groups(P<0.05,P<0.01),the mRNA and protein expressions of JAK2 and STAT3 were significantly reduced in AG490 group and Quhan Zhufeng Mixture medium-and high-dosage groups(P<0.05,P<0.01),and the expressions of p-JAK2 and p-STAT3 proteins were significantly reduced(P<0.01).Conclusion Quhan Zhufeng Mixture can regulate the proliferation and apoptosis of RA-FLS by regulating the activity of NDRG2/JAK2/STAT3 signaling pathway,playing a role in treating rheumatoid arthritis.

Objective To examine the time window effect of high-load exerciseon skeletal muscle in-flammation genes,and identify the key genes and signaling pathways involved in this process.Methods Forty-eight Sprague-Dawley rats were randomly assigned to a control group(group C,n=8)and an ex-ercise group(group E,n=40).Gastrocnemius muscles were collected immediately(group E0),12h(group E12),24h(group E24),48h(group E48),and 72 h(group E72)after exercise for transcrip-tome sequencing.Differentially expressed genes(DEGs)were identified,and enrichment analysis was carried out using the Gene Ontology(GO)and the Kyoto Encyclopedia of Genes and Genomes(KEGG)annotations.Meanwhile,inflammation-related genes were obtained from databases,and differ-entially expressed inflammation-related genes(DEIRGs)were done through identifying their intersec-tion with DEGs.Moreover,the Mfuzz algorithm was used for time series clustering to obtain subsets with similar characteristics.GO and KEGG analyses,along with protein interaction network analysis,were performed to obtain key DEIRGs,followed by secondary functional enrichment to analyze changes in expression of key genes over time and identify key signaling pathways.Results Seven DEIRG clus-ters were obtained through Mfuzz time series clustering of skeletal muscle inflammation genes after high-load exercise.Overall,the expression of DEGs in cluster 5 was downregulated,while that in cluster 7 was upregulated.The expression of DEGs in clusters 3 and 4 was upregulated at E0 and rap-idly downregulated at E12.In contrast,the expression of DEGs in cluster 2 and 6 were downregulated at E0 and rapidly upregulated at E12.The expression of DEGs in cluster 1 was upregulated at E0,rapidly downregulated at E12,and remained upregulated at E24.Screening identified TP53,STAT3,CD44,AKT1,KDR,GJA1,CYCS,HIF1A,IQGAP3,FASN,and TFRC as key DEIRGswhich were enriched in apoptosis,HIF-1,apoptosis,ferroptosis,MAPK,VEGF,PI3K-Akt,insulin resistance,FoxO,AMPK and the JAK-STAT signaling pathway.Conclusion Inflammation-related genes exhibit temporal dynamic changes in exercise-induced muscle damage and show significant time window effects at 12 h after exercise.The key targets STAT3,AKT1 and HIF-1A react to exercise-induced muscle damage through the JAK-STAT,PI3K-Akt,HIF-1 and VEGF signaling pathways,and promote tissue repair.

Objective To explore the mechanism of Quhan Zhufeng Mixture on proliferation and apoptosis of rheumatoid arthritis fibroblast-like synoviocyte(RA-FLS)based on NDRG2/JAK2/STAT3 signaling pathway.Methods RA-FLS cells were cultured in vitro,and were divided into ① blank serum group,methotrexate group,Quhan Zhufeng Mixture low-,medium-and high-dosage groups;② blank serum group,AG490 group,Quhan Zhufeng Mixture low-,medium-and high-dosage groups.Different concentrations of drug-containing serum were used to intervene cells.Cell proliferation was detected by CCK-8 method,apoptosis was detected by flow cytometry,and mRNA expressions of Bax,Bcl-2,Caspace-3,Caspace-9,N-myc downstream regulatory gene 2(NDRG2),Janus kinase 2(JAK2)and signal transduction and transcription activator 3(STAT3)were detected by RT-qPCR,Western blot was used to detect the protein expressions of Bax,Bcl-2,Caspace-3,Caspace-9,NDRG2,JAK2,STAT3,p-JAK2 and p-STAT3 in cells.Results Compared with the blank serum group,cell survival rate in methotrexate group,Quhan Zhufeng Mixture all dosage groups significantly decreased(P<0.01),the apoptosis rate significantly increased(P<0.01),the mRNA and protein expressions of Bax and Caspase-9 significantly increased(P<0.05,P<0.01),while the mRNA and protein expression of Bcl-2 significantly decreased(P<0.01),and Caspase-3 mRNA and protein expression in methotrexate group and Quhan Zhufeng Mixture medium-and high-dosage groups significantly increased(P<0.01).Compared with the blank serum group,the mRNA and protein expression of NDRG2 significantly increased in Quhan Zhufeng Mixture all dosage groups(P<0.05,P<0.01),the mRNA and protein expressions of JAK2 and STAT3 were significantly reduced in AG490 group and Quhan Zhufeng Mixture medium-and high-dosage groups(P<0.05,P<0.01),and the expressions of p-JAK2 and p-STAT3 proteins were significantly reduced(P<0.01).Conclusion Quhan Zhufeng Mixture can regulate the proliferation and apoptosis of RA-FLS by regulating the activity of NDRG2/JAK2/STAT3 signaling pathway,playing a role in treating rheumatoid arthritis.

Objective To examine the time window effect of high-load exerciseon skeletal muscle in-flammation genes,and identify the key genes and signaling pathways involved in this process.Methods Forty-eight Sprague-Dawley rats were randomly assigned to a control group(group C,n=8)and an ex-ercise group(group E,n=40).Gastrocnemius muscles were collected immediately(group E0),12h(group E12),24h(group E24),48h(group E48),and 72 h(group E72)after exercise for transcrip-tome sequencing.Differentially expressed genes(DEGs)were identified,and enrichment analysis was carried out using the Gene Ontology(GO)and the Kyoto Encyclopedia of Genes and Genomes(KEGG)annotations.Meanwhile,inflammation-related genes were obtained from databases,and differ-entially expressed inflammation-related genes(DEIRGs)were done through identifying their intersec-tion with DEGs.Moreover,the Mfuzz algorithm was used for time series clustering to obtain subsets with similar characteristics.GO and KEGG analyses,along with protein interaction network analysis,were performed to obtain key DEIRGs,followed by secondary functional enrichment to analyze changes in expression of key genes over time and identify key signaling pathways.Results Seven DEIRG clus-ters were obtained through Mfuzz time series clustering of skeletal muscle inflammation genes after high-load exercise.Overall,the expression of DEGs in cluster 5 was downregulated,while that in cluster 7 was upregulated.The expression of DEGs in clusters 3 and 4 was upregulated at E0 and rap-idly downregulated at E12.In contrast,the expression of DEGs in cluster 2 and 6 were downregulated at E0 and rapidly upregulated at E12.The expression of DEGs in cluster 1 was upregulated at E0,rapidly downregulated at E12,and remained upregulated at E24.Screening identified TP53,STAT3,CD44,AKT1,KDR,GJA1,CYCS,HIF1A,IQGAP3,FASN,and TFRC as key DEIRGswhich were enriched in apoptosis,HIF-1,apoptosis,ferroptosis,MAPK,VEGF,PI3K-Akt,insulin resistance,FoxO,AMPK and the JAK-STAT signaling pathway.Conclusion Inflammation-related genes exhibit temporal dynamic changes in exercise-induced muscle damage and show significant time window effects at 12 h after exercise.The key targets STAT3,AKT1 and HIF-1A react to exercise-induced muscle damage through the JAK-STAT,PI3K-Akt,HIF-1 and VEGF signaling pathways,and promote tissue repair.

AIM:To investigate the mechanism through which aerobic exercise improves inflammatory senes-cence in SAMP8 mice via Janus kinase 3(JAK3)-signal transducer and activator of transcription 5α(STAT5α)signaling pathway and to provide novel insights for anti-inflammatory aging interventions.METHODS:Sixteen 28-week-old SAMP8 mice were randomly divided into model(Mod)group and exercise(Exe)group,with 8 mice in each group.Addi-tionally,8 senile SAMR1 mice served as control(Con)group.The mice in Exe group underwent an 8-week aerobic training regimen on a treadmill.We monitored the changes in hair quality and body weight,immune organ indexes,histomorpho-logical alterations in immune organs,the expression levels of spleen aging marker P16,and the serum and spleen levels of inflammatory factors[tumor necrosis factor-α(TNF-α)and interleukin-1β(IL-1β)]and aging indicator IL-2.Moreover,we examined the alterations in the mRNA and protein expression of IL-2,JAK3 and STAT5α in the spleen.RESULTS:(1)Compared with Con group,the mice in Mod group exhibited decreased hair luster and volume,with some instances of alopecia areata,increased body weight,markedly reduced spleen and thymus indexes,evident atrophy and senescence of immune organs,and markedly decreased concentration of IL-2 in the serum and spleen.The expression of P16 in the spleen,and the serum and spleen levels of inflammatory factors TNF-α and IL-1β were significantly increased.The mRNA expression of IL-2 and IL-2 receptor subunit gamma(IL-2RG)in the spleen was markedly decreased,whereas that of JAK3 and STAT5α was markedly increased.Furthermore,the protein expression of IL-2 in the spleen was markedly de-creased,whereas that of STAT5α and JAK3 was markedly increased.(2)Compared with Mod group,the mice in Exe group showed relatively vigorous hair growth and better hair luster,lower body weight,markedly increased spleen and thy-mus indexes,and delayed immune organ aging.The concentration of IL-2 in the serum and spleen was markedly in-creased,while the expression of P16 in the spleen was markedly decreased.The levels of TNF-α and IL-1β in the serum and spleen were markedly decreased.The mRNA expression of IL-2 and IL-2RG in the spleen was markedly increased,whereas that of JAK3 and STAT5α was markedly decreased.The protein levels of IL-2 were markedly increased,whereas those of STAT5α and JAK3 were markedly decreased.CONCLUSION:Aerobic exercise can delay inflammatory aging in mice possibly through the JAK3-STAT5α signaling pathway.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.