OBJECTIVE To investigate the influence of CYP2C19 gene polymorphism on platelet function and inflammatory cytokines in elderly patients with ischemic stroke， and to analyze potential factors associated with poor prognosis. METHODS A retrospective study was conducted on elderly patients with ischemic stroke admitted to our hospital from June 2024 to June 2025， wh o underwent CYP2C19 genotype testing and received antiplatelet therapy with clopidogrel. The levels of platelet function indicators and inflammatory cytokines before and after treatment were compared among patients with different metabolic phenotypes. Based on the prognosis at 6 months post-treatment， patients were divided into poor prognosis group and good prognosis group. Univariate analysis was performed on general data， metabolic phenotype， the levels of platelet function indicators and inflammatory cytokines. Variables with P ＜0.05 and the levels of inflammatory cytokines before treatment were included in a multivariate Logistic regression analysis to identify independent risk factors for poor prognosis. Multiple linear regression was used to further analyze the relationship between metabolic phenotypes and inflammatory cytokines. RESULTS A total of 448 elderly patients with ischemic stroke were included； among them， 162 cases were normal metabolic phenotype， 218 were intermediate metabolic phenotype， and 68 were poor metabolic phenotype. No rapid or ultrarapid metabolic phenotypes were observed. After treatment， platelet aggregation rate， the levels of P-selectin and platelet activated complex-1 （PAC-1）， high-sensitivity C-reactive Protein （hs-CRP）， interleukin-1β （IL-1β）， IL-6 and tumor necrosis factor-α （TNF-α） in the normal metabolic phenotype group， intermediate metabolic phenotype group， and poor metabolic phenotype group （except for platelet aggregation rate， and the levels of P-selectin and PAC-1 in the poor metabolic phenotype group） were significantly lower than those before treatment in the same group. Moreover， the above indicators in the normal metabolic phenotype group were significantly lower than those in the intermediate and poor metabolic phenotype groups at the corresponding time， and the levels of platelet function indicators in the intermediate metabolic phenotype group were significantly lower than those in the poor metabol ic phenotype group at the corresponding time （ P ＜0.05）. Univariate and multivariate Logistic regression analyses showed that combined with hypertension， combined with diabetes mellitus， and intermediate or poor metabolic genotypes were independent risk factors for poor prognosis in elderly patients with ischemic stroke （ P ＜0.05）. Multiple linear regression analysis showed that serum levels of hs-CRP， IL-1β， IL-6 and TNF-α before treatment were significantly higher in patients with intermediate and poor metabolic genotypes compared to those with normal metabolic genotype （ P ＜0.05）， with a greater magnitude of increase in inflammatory cytokines observed in the patients with poor metabolic genotype. CONCLUSIONS The elderly ischemic stroke patients with CYP2C19 intermediate and poor metabolic genotypes have poor inhibition effect on platelet and higher levels of inflammatory cytokines than normal metabolic genotype； CYP2C19 gene polymorphism， and in combination with hypertension and diabetes， can be used as independent predictors of poor prognosis.

AIM:To automatically identify and quantitatively assess myopia-related fundus structural changes by combining non-mydriatic color fundus photography with an artificial intelligence(AI)-powered quantitative fundus analysis system and to further analyze the correlations between these fundus parameters and spherical equivalent(SE), axial length(AL), and age, providing the objective basis for monitoring myopia progression and supporting the formulation of personalized myopia prevention and control strategies. METHODS:A cross-sectional study was conducted enrolling myopic patients aged 18-50 y who underwent myopia screening from March 2023 to December 2023. Patients were stratified into three groups based on SE: the -3.00 D

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.

Melanoma differentiation-associated protein 5 (MDA5), acting as a widely expressed cytosolic pattern recognition receptor, plays a pivotal role in bridging innate and adaptive immune responses as well as mediating chronic tissue damage. Its autoantibody serves as a specific serological biomarker for the diagnosis of clinically amyopathic dermatomyositis (CADM). This article briefly introduces the basic and clinical research progress targeting MDA5 and anti-MDA5 antibodies in recent years, aiming to provide references for the development of precise intervention strategies for related diseases.

ObjectiveTo establish and evaluate a rat model of chronic obstructive pulmonary disease (COPD) associated with the traditional Chinese medicine (TCM) phlegm-dampness syndrome. MethodsEighteen SPF-grade 8-week-old male SD rats were randomly assigned to a control group (n=8) and a model group (n=10). The modeling procedure lasted for 19 weeks. Rats in the control group received no intervention. Lipopolysaccharide (LPS; 40 μg per rat per instillation) was instilled intratracheally into rats in the model group at 09:00 on the first day of weeks 1, 5, 9, 13, and 17, for a total of five instillations. Except for the instillation weeks, rats were exposed daily to cigarette smoke in a self-made high-humidity smoke exposure chamber (15 cigarettes/session before week 9 and 20 cigarettes/session from week 9 onward; 30 min/session/day). Body weight was recorded weekly, and general signs and manifestations of TCM phlegm-dampness syndrome were observed. On the day after modeling, rats were anesthetized for pulmonary ventilatory function testing. Tumor necrosis factor-α (TNF-α) and mucin 5AC (MUC5AC) levels in serum and bronchoalveolar lavage fluid (BALF) were measured using enzyme-linked immunosorbent assay (ELISA). Lung tissues were subjected to hematoxylin and eosin (HE) and alcian blue and periodic acid-Schiff staining (AB-PAS) to assess lung tissue morphology and goblet cell hyperplasia. Western blotting was performed to determine TNF-α and MUC5AC protein expression in lung tissue. ResultsGeneral signs and overall condition: Compared with the control group, body weight in the model group was significantly decreased from week 3 onward (P<0.01). Rats showed yellowish fur, sluggish activity, reduced movement, rapid/labored breathing, and increased oral/nasal secretions. Pulmonary ventilatory function: Compared with the control group, minute ventilation and tidal volume (both P<0.01) and dynamic compliance (P<0.05) were decreased, whereas elastic resistance was markedly increased (P<0.01) in the model group. Inflammatory factors and mucus-related proteins: Compared with the control group, TNF-α and MUC5AC levels in serum and BALF, as well as their protein levels in lung tissue, were significantly elevated in the model group (all P<0.01). Histopathology: HE staining showed obvious alveolar dilatation and rupture with partial coalescence into bullae, and inflammatory cell infiltration in bronchiolar lumens. AB-PAS staining revealed increased goblet cells in bronchiolar mucosal epithelium and mucus plug formation in the lumen. ConclusionThis protocol can reproduce a COPD rat model with manifestations consistent with TCM phlegm-dampness syndrome, reduced pulmonary ventilation function, and pathological features of emphysema, inflammation, and chronic bronchitis, thereby providing reliable support for subsequent studies on TCM treatment of COPD with phlegm-dampness syndrome.

ObjectiveTo screen and identify uridine diphosphate （UDP）-rhamnose synthase （RHM） genes from Ornithogalum saundersiae and verify their UDP-rhamnose （UDP-Rha） biosynthetic functions， thereby providing reliable candidate genes for the efficient biosynthesis of neohesperidin and other rhamnoside natural products. MethodsBased on previously reported plant RHM sequences， two candidate RHM genes， OsRHM1 and OsRHM2， were identified from O. saundersiae through transcriptome screening and sequence alignment. The two genes were cloned and subjected to bioinformatics analysis and multiple sequence alignment. An in vitro RHM-Cm1，2RhaT cascade reaction was established， and the ability of OsRHM1 and OsRHM2 to catalyze the conversion of UDP-glucose （UDP-Glc） to UDP-Rha was evaluated based on neohesperidin production. Real-time fluorescence quantitative polymerase chain reaction PCR （Real-time PCR） was performed to analyze the relative expression levels of the two genes in roots， bulbs， and leaves. ResultsThe open reading frame （ORF） of OsRHM1 was 2 076 bp and encoded 692 amino acids， with a predicted protein molecular mass of 77.97 kDa and a theoretical isoelectric point of 7.25. The ORF of OsRHM2 was 2 019 bp and encoded 673 amino acids， with a predicted protein molecular mass of 75.82 kDa and a theoretical isoelectric point of 7.24. Multiple sequence alignment showed that OsRHM1 and OsRHM2 contained the typical conserved motifs GxxGxxG/A and YxxxK of the plant RHM family and shared high amino acid sequence identity with previously reported RHMs. The in vitro cascade reaction demonstrated that both OsRHM1 and OsRHM2 were capable of catalyzing the conversion of UDP-Glc to UDP-Rha. The neohesperidin production in the OsRHM2 cascade reaction system was approximately 2.58-fold that in the OsRHM1 system. Real-time PCR analysis showed that the relative expression levels of OsRHM1 and OsRHM2 were higher in roots than in bulbs and leaves. ConclusionOsRHM2 exhibited a relatively high capacity for UDP-Rha supply and may serve as a candidate enzyme resource for the subsequent biosynthesis of rhamnoside natural products and the construction of UDP-Rha supply systems.

Objective To investigate the relationship between serum trimethylamine oxide(TMAO),endo-thelial cell specific molecule 1(Endocan)and cardiac function and pregnancy outcome in patients with hyper-tensive disorders of pregnancy(HDP).Methods A total of 182 patients with HDP admitted to Handan Ma-ternal and Child Health Hospital from January 2021 to June 2023(HDP group)and 98 healthy pregnant women admitted to this hospital during the same period(control group)were selected as research subjects.Serum TMAO,Endocan and left ventricular cardiac function indexes[left ventricular ejection fraction(LVEF),left ventricular end-diastolic volume(LVEDV)and left ventricular end-systolic volume(LVESV)]were compared between the two groups.According to pregnancy outcome,HDP patients were divided into poor outcome group(78 cases)and good outcome group(104 cases).Spearman correlation analysis was used to analyze the correlation between serum TMAO and Endocan and cardiac function indexes in HDP patients,and multi-factor Logistic regression was used to analyze the influencing factors of adverse pregnancy outcomes in HDP patients.The predictive value of serum TMAO and Endocan for adverse pregnancy outcomes in HDP patients was analyzed by receiver operating characteristic(ROC)curve.Results Compared with control group,serum TMAO,Endocan,LVEDV and LVESV were increased in HDP group,and LVEF was decreased(P＜0.05).Serum TMAO and Endocan in HDP patients were negatively correlated with LVEF(P＜0.05),and positively correlated with LVEDV and LVESV(P＜0.05).The incidence of adverse pregnancy outcomes in 182 HDP patients was 42.86％(78/182).Preeclampsia(PE),severe preeclampsia(SPE),24 h urine protein increase,LVEDV increase,LVESV increase,TMAO increase,Endocan increase were independent risk factors for adverse pregnancy outcomes in HDP patients,and LVEF increase was protective factor(P＜0.05).The area under the curve of serum TMAO combined with Endocan in predicting adverse pregnancy outcomes in HDP patients was 0.880,which was greater than 0.793 and 0.788 predicted by serum TMAO and Endocan a-lone.Conclusion The increase of serum TMAO and Endocan levels in HDP patients are relate to the decrease of cardiac function and adverse pregnancy outcomes,and the combined detection of the two has high predictive value for adverse pregnancy outcomes in HDP patients.

Objective To investigate the expression levels of peroxisome proliferator-activated receptor gamma coactivator-1β(PGC-1β),hypoxia-inducible factor-1α(HIF-1α),and resistin(RETN)in gouty arthri-tis(GA),and analyze their correlation with the degree of joint damage.Methods A total of 134 patients with GA in the hospital from January 2022 to October 2023 were selected as GA group,and 134 healthy people who underwent the physical examination in the same period were selected as control group.The serum expression levels of PGC-1β,HIF-1α and Retn were compared between the two groups.The expression levels of PGC-1β,HIF-1α and Retn in serum and synovial fluid of patients with different clinical characteristics in GA group were compared,the degree of joint destruction was graded according to the subjective pain grading method(VAS)and the patients were divided into a severe GA subgroup of 78 cases and a mild GA subgroup of 56 ca-ses.The expression levels of PGC-1β,HIF-1α,RETN,bone destruction factors[β-cross linked degradation products(β-CTX),tartrate resistant acid phosphatase-5b(TRACP5b),receptor activator of nuclear factor kappa B ligand(RANKL)]and inflammatory factors[tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β)]were compared among different degrees of joint destruction,and the correlation between serum and syno-vial fluid PGC-1β,HIF-1α,RETN and the degree of joint destruction,bone destruction factors,and inflamma-tory factors was analyzed.Results The expression level of PGC-1β in serum of GA group was lower than that of the control group,while the expression levels of HIF-1α and RETN in serum were higher than those of the control group(P＜0.05).There were statistically significant differences in serum and synovial fluid PGC-1β,HIF-1α,and RETN levels among GA patients with different clinical stages,affected joints,disease duration,and annual seizure frequency(P＜0.05).The expression levels of PGC-1β in the serum and synovial fluid of the severe GA subgroup were lower than those of the mild GA subgroup(P＜0.05),while the expression lev-els of HIF-1α and RETN were higher than those of the mild GA subgroup(P＜0.05).The expression levels ofβ-CTX and TRACP5b in the severe GA subgroup were higher than those in the mild GA subgroup(P＜0.05),while the expression level of RANKL was lower than that in the mild GA subgroup(P＜0.05).PGC-1βin serum and synovial fluid was negatively correlated with the degree of joint destruction,β-CTX,TRACP5b,TNF-α,and IL-1β,and positively correlated with RANKL.HIF-1α and RETN were positively correlated with the degree of joint destruction,β-CTX,TRACP5b,TNF-α,and IL-1β,and negatively correlated with RANKL.Conclusion PGC-1β,HIF-1α,and RETN are abnormally expressed in patients with GA,and are closely associ-ated with the degree of joint destruction,bone destruction factors,and inflammatory factors.They are expec-ted to become reliable indicators for evaluating the occurrence and progression of GA.

Objective To explore the relationship between serum pregnancy-specific protein 1(PSG1),stress-induced protein 2(Sestrin 2),growth arrest-specific protein 6(Gas6)and uterine artery blood flow pa-rameters and fetal growth restriction(FGR)in patients with gestational hypertension(GH).Methods A to-tal of 485 GH patients admitted to Handan Maternal and Child Health Hospital from January 2020 to October 2023 were selected as the research objects and divided into the occurrence group(81 cases)and the non-occur-rence group according to whether FGR occurred.The correlations between serum PSG1,Sestrin 2,Gas6 and uterine artery blood flow parameters[pulse index(PI),resistance index(RI),ratio of peak systolic velocity to end diastolic velocity(S/D)]was analysed,as well as the related influencing factors of FGR in GH patients.In addition,a Nomogram model based on the influencing factors was constructed to analyze the predictive value.Results The serum PSG1 level in occurrence group was significantly lower than that in non-occurrence group,and the serum Sestrin 2,Gas6 levels and PI,RI,S/D values were significantly higher than those in non-occurrence group(P＜0.05).Pearson correlation results showed that serum PSG1 was negatively correlated with the uterine artery blood flow parameters PI,RI,and S/D,and the levels of serum Sestrin 2 and Gas6 were positively correlated with the uterine artery blood flow parameters PI,RI,and S/D(P＜0.05).Gestational di-abetes mellitus,umbilical cord abnormalities,high Sestrin 2,high Gas6,high PI,high RI,and high S/D were independent risk factors for the occurrence of FGR in GH patients(P＜0.05),and increased PSG1 level was protective factor for the occurrence of FGR in GH patients(P＜0.05).Receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC)of the Nomogram prediction model con-structed based on the influencing factors for predicting the occurrence of FGR in GH patients was 0.982,and the sensitivity and specificity were 0.943 and 0.938,respectively.The internal verification of the Bootstrap method shows that the Bias-corrected prediction curve basically coincides with the Ideal line,and the consis-tency index(C-index)was 0.964,indicating that the model was relatively stable.The decision curve shows that the threshold probability of this model was 0.01-1.00 and the net return rate was above 0.Conclusion Ser-um PSG1,Sestrin 2 and Gas6 in GH patients are closely related to uterine artery blood flow parameters and FGR,and the three are the influencing factors for the occurrence of FGR in GH patients.The constructed No-mogram model has a good predictive efficacy for FGR.

Objective:To explore the potential profile categories of self-disgust in young and middle-aged breast cancer patients, and analyze the influencing factors of different categories.Methods:A convenience sampling method was used, and 270 young and middle-aged breast cancer patients admitted to the thyroid and breast cancer ward and oncology ward of Fenyang Hospital in Shanxi Province from September 2023 to April 2024 were the study subjects. The survey was conducted transect surveys using the general information questionnaire, Questionnaire for the Assessment of Self-Disgust, Social Constraints Scale, the Chronic Illness Rejection and Discrimination Scale. Potential categories of self-disgust in young and middle-aged breast cancer patients were explored using latent profile analysis, and unordered multinomial Logistic regression was employed to investigate their influencing factors.Results:A total of 234 young and middle-aged female breast cancer patients were included, with the age of (45.61±10.90) years old. Latent profile analysis revealed three potential categories of self-hatred in these patients: low disgust group (45.30%, 106/234), medium disgust group (41.45%, 97/234), and generalized high disgust group (13.25%, 31/234). Compared to the low disgust group, patients with more comorbidities and poorer self-care ability were more likely to belong to the generalized high disgust group ( OR=0.244, 8.775, both P<0.05). Patients with a longer duration of illness and higher scores on the social constraints scale and chronic illness rejection and discrimination scale were more likely to fall into the medium disgust group and the generalized high disgust group ( OR values were 0.156 - 1.317, all P<0.05). Conclusions:The level of self-disgust in young and middle-aged breast cancer patients is significantly heterogeneous. Nursing staff should formulate personalized intervention strategies according to this classification characteristic, which can be cut from the perspective of reducing patients' social restriction and chronic illness rejection and discrimination to improve patients' acceptance of the disease and self-acceptance level, and then reduce their self-disgust.