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.

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.

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

Traditional Chinese medicine (TCM) is an ancient medical system distinctive and effective in treating cancer, depression, coronavirus disease 2019 (COVID-19), and other diseases. However, the relatively abstract diagnostic methods of TCM lack objective measurement, and the complex mechanisms of action are difficult to comprehend, which hinders the application and internationalization of TCM. Recently, while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research, the rise of machine learning (ML) has significantly enhanced their integration with TCM. This article introduces representative methodological cases in quality control, mechanism research, diagnosis, and treatment processes of TCM, revealing the potential applications of ML technology in TCM. Furthermore, the challenges faced by ML in TCM applications are summarized, and future directions are discussed.

Objective:To observe the effectiveness of extracorporeal counterpulsation therapy in patients with heart failure in ischaemic cardiomyopathy.Methods:A total of 112 patients with ischemic cardiomyopathy and heart failure admitted to the Second Affiliated Hospital of Xingtai Medical College from August 2020 to June 2023 were prospectively selected and divided into two groups by random number table method. The control group was treated with conventional drugs and conventional cardiac rehabilitation program, and the observation group was combined with external counterbeating therapy on the basis of the control group. The levels of N-terminal B-type brain natriuretic peptide (NTproBNP), soluble growth stimulation-expression gene-2 protein (sST2), neutrophil gelatinase-associated lipid carrier protein (NGAL), galactin-3 (Gal-3), cardiopulmonary exercise test (CPET) parameters and cardiac ultrasound indexes were compared between the two groups before and after treatment. The curative effect and the rate of re-hospitalization within 6 months were compared between the two groups.Results:After treatment, the levels of NTproBNP, sST2, NGAL and Gal-3 in the observation group were lower than those in the control group: (1941.36 ± 312.59) ng/L vs. (2674.22 ± 404.64) ng/L, (44.78 ± 3.97) ng/L vs. (52.45 ± 4.13) ng/L, (22.63 ± 3.65) μg/L vs. (26.41 ± 3.77) μg/L, (4.63 ± 1.29) ng/L vs. (6.11 ± 1.78) ng/L, there were statistical differences ( P<0.05); the maximum kilogram oxygen uptake (VO 2max/kg), maximum kilogram oxygen uptake as a percentage of predicted value (VO 2max/kg%pred), maximum minute ventilation as a percentage of predicted value (VEmax%pred) in the observation group were higher than those in the control group: (22.41 ± 2.23) ml/(min·kg) vs. (21.35 ± 2.09) ml/(min·kg), (83.79 ± 11.04)% vs. (78.74 ± 10.14)%, (88.95 ± 12.74)% vs. (75.45 ± 11.14)%, there were statistical differences ( P<0.05 or <0.01); the left ventricular ejection fraction (LVEF) in the observation group was higher than that in the control group and the left ventricular posterior wall thickness (LVPWT) and left ventricular posterior wall end-systolic thickness (PWS) were lower than those in the control group: (50.12 ± 3.87)% vs. (48.63 ± 3.74)%, (8.77 ± 1.58) mm vs. (9.63 ± 1.97) mm, (9.34 ± 1.54) mm vs. (10.14 ± 1.79) mm, there were statistical differences ( P<0.05). There was no statistical difference in the total effective rate between the two groups ( P>0.05). The patient readmission rate within 6 months of follow-up in the observation group was lower than that in the control group: 5.45%(3/55) vs. 20.00%(11/55), there was statistical difference( χ2 = 5.24, P<0.05). Conclusions:Extracorporeal counterpulsation therapy for the treatment of heart failure in ischaemic cardiomyopathy can improve the cardiorespiratory function, reduce the expression of NTproBNP, sST2, NGAL and Gal-3, and decrease the patient readmission rate.

Objective To explore the association between the relative expression level of SNORD55 in peripheral blood and the outcomes of all-cause mortality and stroke in patients with atrial fibrillation(AF),and to evaluate the predictive value of SNORD55 for prognosis.Methods A total of 133 patients with non-valvular AF admitted in Department of Cardiology of the First Affiliated Hospital of Army Medical University from January 2014 to December 2017 were enrolled in this study.Their baseline information was collected,and the relative expression level of plasma SNORD55 was detected.Cox proportional hazards model was used to explore the association between the relative expression level of SNORD55 in peripheral blood and all-cause mortality as well as stroke in the patients.The predictive performance of CHA2DS2-VASc score for all-cause mortality and stroke was compared with the score combined with the relative expression level of SNORD55 in the AF patients.The area under the receiver operating characteristic curve(AUC)was utilized to evaluate the discrimination,and the net reclassification index(NRI)and comprehensive discriminant improvement index(IDI)were calculated to evaluate the improvement of reclassification ability.Decision curve analysis(DCA)was applied to analyze the change in clinical net benefit.Results The results of multivariate Cox regression showed that high expression of SNORD55 in peripheral blood was an independent risk factor for all-cause mortality and stroke in the AF patients.In predicting the outcomes of all-cause mortality and stroke,the addition of relative expression SNORD55 level with the CHA2DS2-VASc score obtained higher AUC value[0.80(95％CI:0.67～0.93)vs 0.67(95％CI:0.53～0.81),P＜0.05].In predicting the outcome of all-cause death and stroke,combination of the relative expression level of SNORD55 with CHA2DS2-VASc score increased both NRI[54.3(95％CI:10.6～61.9)vs 31.9(95％CI:2.8～47.5),P＜0.05]and IDI[16.1(95％CI:2.4～27.0)vs 7.9(95％CI:0.5～14.8),P＜0.05].The results of DCA showed that our combination of CHA2DS2-VASc score relative expression level of SNORD55 had higher clinical net benefits than the foreign ABC score in the prediction of the outcomes.Conclusion Peripheral blood SNORD55 level is an independent risk factor for all-cause mortality and stroke in AF patients,and has good predictive performance for all-cause mortality and stroke in the patients.

Objective To draw the genome-wide distribution and remodeling characteristics of H3K27me3 silencers in signet-ring cell carcinoma of the stomach(SRCC)through epigenetic sequencing technology,and to investigate their roles in transcriptional regulation in order to elucidate the regulatory mechanism of SRCC malignant progression.Methods The study was conducted on 35 gastric samples obtained by gastroendoscopic biopsy(15 normal and 20 SRCC tissues)from Department of Gastroenterology of Army Medical Center of PLA between January 2021 and December 2023.Multi-omics analyses,including assay for transposase-accessible chromatin with high-throughput sequencing(ATAC-seq),cleavage under targets and tagmentation(CUT&Tag)and transcriptome sequencing(RNA-seq),were performed to identify chromatin accessibility,H3K27me3 silencer regions,and transcriptional changes,with aid of Illumina NovaSeq 6000.H3K27me3 related differentially expressed genes(|Log2FC|>1,FDR<0.05)were screened using DESeq2.Gene Ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis were employed to analyze the enrichment function,and Homer was employed to identify transcription factor motifs.A regulatory network was constructed using Cytoscape,and then validated using immunohistochemistry to explore its regulatory mechanism.Results H3K27me3 silencers were primarily located in distal intergenic regions(37.06%)in SRCC.Compared with the normal tissues,SRCC showed a significant reduction in H3K27me3 silencer signals(95%CI:1.34～2.30,P=0.007)with 6 257 lost sites(FDR<0.01).Integrating CUT&Tag and RNA-seq revealed 380 up-regulated immune-related genes,particularly in T cell receptor signaling(OR=4.2,95%CI:2.8～6.3,P=0.002).Immunohistochemistry confirmed elevated expression of transcription factor EHF(P<0.05).Conclusion There is the remodeling of H3K27me3 silencers in SRCC,and EHF may potentially play a crucial role in the SRCC malignant progression.

Objectives To explore the association of peripheral blood PIWI-interacting RNA,piR-hsa-2700592,with all-cause mortality and stroke outcomes in patients with atrial fibrillation(AF),and to determine whether piR-hsa-2700592 has the potential to be an AF biomarker.Methods A total of 127 patients with non-valvular AF were enrolled,and the relative expression level of plasma piR-hsa-2700592 was detected.Cox proportional hazard regression was used to analyze the correlation between the expression of piR-hsa-2700592 and all-cause death as well as stroke outcome in the patients.Then the molecule expression level was combined with CHA2DS2-VASc score and ABC stroke(or death)score to establish 2 new prediction models,the improvement of the predictive performance was compared and analyzed.Receiver operating characteristic(ROC)curve analysis(area under the curve,AUC),net reclassification index(NRI),and comprehensive discriminant improvement index(IDI)were used to evaluate the predictive performance,and decision curve analysis(DCA)was employed to assess the clinical benefit.Results Multivariate Cox regression analysis showed that the patients with higher expression level of piR-hsa-2700592 in peripheral blood had a higher risk of stroke(HR:2.203,95%CI:1.120～4.332;P=0.022).In the stroke outcome,combination of plasma piR-hsa-2700592 expression level with CHA2DS2-VASc score and ABC stroke score obtained an AUC of 0.70(95%CI:0.55～0.85,P＜0.001)and 0.84(95%CI:0.73～0.96,P=0.02),respectively.But,no significant association was observed between high plasma piR-hsa-2700592 level and all-cause mortality in the AF patients(HR:1.997;95%CI:0.884～4.509;P=0.096).Combination of plasma piR-hsa-2700592 level improved the discriminative capability than the single CHA2DS2-VASc score and ABC stroke score models,with an NRI and IDI value of 44.20%(95%CI:3.40～59.90,P＜0.001)and 8.20%(95%CI:0.60～15.40,P＜0.001),respectively for the new CHA2DS2-VASc score model,and an NRI and IDI value of 44.20%(95%CI:9.80～58.90,P＜0.001)and 10.40%(95%CI:0.70～21.40,P＜0.001),respectively for the new ABC stroke score model.The DCA curve showed that both new prediction models obtained better net clinical benefits.Conclusion High peripheral blood expression of piR-hsa-2700592 is an independent risk factor for stroke in the AF patients,and the indicator has a good predictive value for prognosis of the patients.piR-hsa-2700592 might be used as a potential biomarker in the diagnosis and prevention of cardiovascular diseases.