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.

BACKGROUND:Studies have shown that ischemia-induced cellular autophagy dysfunction is a key factor in brain injury.Autophagy related genes 6(ATG6),microtubule-associated protein 1 light chain(LC3),p62,and other autophagy key proteins are involved in the processes such as neuronal axonal degeneration,death,and intracellular homeostasis maintenance,playing an important role in the recovery of neural function. OBJECTIVE:To review the research progress in the role of cellular autophagy in cerebral ischemic injury and the regulatory mechanism of traditional Chinese medicine. METHODS:The first author used"ischemic stroke,brain tissue injury,cellular autophagy,signaling pathways,traditional Chinese medicine compounds,terpenoids,alkaloids,flavonoids,saponins,lignans,phthalates"as Chinese and English keywords respectively to search for literature on autophagy,cerebral ischemic injury,and the regulatory mechanisms of traditional Chinese medicine from China National Knowledge Infrastructure(CNKI)and PubMed databases from January 2016 to February 2024.Literature that is not highly relevant,repetitive,or outdated was excluded.A total of 1 746 relevant literature were retrieved,and 92 articles were ultimately included. RESULTS AND CONCLUSION:Numerous studies have confirmed that autophagy plays an important role in cerebral ischemic injury.Moderate autophagy can promote cell survival,while excessive autophagy exacerbates brain injury.Traditional Chinese medicine can regulate the expression of autophagy related proteins,inhibit neuronal necrosis and apoptosis,and exert neuroprotective effects at different stages of cerebral ischemia by regulating signaling pathways such as PI3K/Akt/mTOR,AMPK-mTOR,and mitogen activated protein kinase.

ObjectiveTo observe the clinical efficacy and safety of Modified Guomin Decoction （加味过敏煎， MGD） in patients with mild to moderate atopic dermatitis （AD） of the traditional Chinese medicine （TCM） pattern of heart fire and spleen deficiency， and to explore its possible mechanisms. MethodsIn this randomized， double-blind， placebo-controlled study， 72 patients with mild to moderate AD and the TCM pattern of heart fire and spleen deficiency were randomly divided into a treatment group and a control group， with 36 cases in each group. The treatment group received oral MGD granules combined with topical vitamin E emulsion， while the control group received oral placebo granules combined with topical vitamin E treatment. Both groups were treated twice daily for 4 weeks. Clinical efficacy， TCM syndrome scores， Visual Analogue Scale （VAS） for pruritus， Dermatology Life Quality Index （DLQI） scores， Scoring Atopic Dermatitis （SCORAD） and serum biomarkers， including interleukin-33 （IL-33）， interleukin-1β （IL-1β）， immunoglobulin E （IgE）， and tumor necrosis factor-α （TNF-α） were compared before and after treatment. Safety indexes was also assessed. ResultsThe total clinical effective rates were 77.78% （28/36） in the treatment group and 38.89% （14/36） in the control group， with cure rates of 19.44% （7/36） and 2.78% （1/36）， respectively. The treatment group showed significantly better clinical outcomes compared to the control group （P＜0.05）. The treatment group exhibited significant reductions in total TCM syndrome scores， including erythema， edema， papules， scaling， lichenification， pruritus， irritability， insomnia， abdominal distension， and fatigue scores， as well as reductions in VAS， DLQI， SCORAD， and serum IgE and IL-33 levels （P＜0.05 or P＜0.01）. Compared to the control group， the treatment group had significantly better improvements in all indicators except for insomnia （P＜0.05）. No adverse events occurred in either group. ConclusionMGD is effective and safe in treating mild to moderate AD patients with heart fire and spleen deficiency pattern. It significantly alleviates pruritus， improves TCM syndromes and quality of life， and enhances clinical efficacy， possibly through modulation of immune responses.

ObjectiveTo study the effects of applying different microbial fertilizers on the growth and rhizosphere soil environment of Codonopsis pilosula and provide a theoretical basis for ecological cultivation of this medicinal plant. MethodsSeven groups were designed， including CK （no application of microbial fertilizer）， T1 （Trichoderma longibrachiatum fertilizer）， T2 （Bacillus subtilis fertilizer）， T3 （Trichoderma viride fertilizer）， T4 （compound microbial fertilizer）， T5 （C. pilosula stems and leaves fermented with compound microbial fertilizer）， and T6 （Scutellaria baicalensis stems and leaves fermented with T. viride fertilizer）. The physiological indicators， yield， and quality of C. pilosula and the physicochemical properties， enzyme activities， and microbial diversity in the rhizosphere soil of different fertilizer treatments were measured. ResultsGroup T1 showed slight decreases in soluble protein content （SPC） and superoxide dismutase （SOD）. Groups T2-T6 showed increases in physiological indicators such as proline （Pro）， soluble solids content （SSC）， SPC， catalase （CAT）， and peroxidase （POD） and a decrease in malondialdehyde （MDA） in C. pilosula leaves. All the fertilizer treatments increased the yield of C. pilosula and the total polysaccharide content in the roots. T1， T2， T3， T4， and T5 increased the total flavonoid content in the roots. Meanwhile， T4 increased the total saponin content in the roots. All the fertilizer treatments reduced the pH and increased the electric conductivity （EC）， soil organic matter （SOM）， and alkaline nitrogen （AN） in the soil. T2 and T5 increased the available phosphorus （AP）， and T3， T4， T5， and T6 increased the available potassium （AK） in the soil. All the fertilizer treatments increased the activities of urease， sucrase， and CAT in the soil. Except that T1 decreased the bacterial diversity in the soil， other fertilizer treatments significantly increased bacterial and fungal diversity in the soil. Different fertilizer treatments significantly affected the composition of bacterial and fungal communities in the soil. At the phylum level， the dominant bacterial phyla included Proteobacteria， Acidobacteriota， and Bacteroideta， and the dominant fungal phyla were Ascomycota， Mortierellomycota， and unclassified_fungi in the rhizosphere soil of C. pilosula after bacterial fertilizer treatment. At the genus level， unclassified Gemmatimonadaceae， Sphingomonas， and unclassified Vicinamibacteraceae were the dominant bacterial genera， while unidentified， unclassified Fungi， and unclassified Sordariomycetes were the dominant fungal genera in the rhizosphere soil. The results of redundancy analysis indicated that the main physicochemical factors affecting changes of microbial communities in the rhizosphere soil of C. pilosula were pH， EC， AK， AN， AP， and soil organic matter （SOM） in the soil. The correlation heatmap showed that Bryobacter had significantly positive correlations with EC， AK， and AN. There was a significantly negative correlation between Fusarium and SOM. In summary， applying an appropriate amount of microbial fertilizer can promote the growth and improve the rhizosphere soil environment of C. pilosula. ConclusionThe compound microbial fertilizer and the C. pilosula stems and leaves fermented with compound microbial fertilizer can improve the soil nutrients， growth， development， yield， and quality of C. pilosula， and thus they can be applied to the artificial cultivation of C. pilosula.

ObjectiveTo study the effects of applying different microbial fertilizers on the growth and rhizosphere soil environment of Codonopsis pilosula and provide a theoretical basis for ecological cultivation of this medicinal plant. MethodsSeven groups were designed， including CK （no application of microbial fertilizer）， T1 （Trichoderma longibrachiatum fertilizer）， T2 （Bacillus subtilis fertilizer）， T3 （Trichoderma viride fertilizer）， T4 （compound microbial fertilizer）， T5 （C. pilosula stems and leaves fermented with compound microbial fertilizer）， and T6 （Scutellaria baicalensis stems and leaves fermented with T. viride fertilizer）. The physiological indicators， yield， and quality of C. pilosula and the physicochemical properties， enzyme activities， and microbial diversity in the rhizosphere soil of different fertilizer treatments were measured. ResultsGroup T1 showed slight decreases in soluble protein content （SPC） and superoxide dismutase （SOD）. Groups T2-T6 showed increases in physiological indicators such as proline （Pro）， soluble solids content （SSC）， SPC， catalase （CAT）， and peroxidase （POD） and a decrease in malondialdehyde （MDA） in C. pilosula leaves. All the fertilizer treatments increased the yield of C. pilosula and the total polysaccharide content in the roots. T1， T2， T3， T4， and T5 increased the total flavonoid content in the roots. Meanwhile， T4 increased the total saponin content in the roots. All the fertilizer treatments reduced the pH and increased the electric conductivity （EC）， soil organic matter （SOM）， and alkaline nitrogen （AN） in the soil. T2 and T5 increased the available phosphorus （AP）， and T3， T4， T5， and T6 increased the available potassium （AK） in the soil. All the fertilizer treatments increased the activities of urease， sucrase， and CAT in the soil. Except that T1 decreased the bacterial diversity in the soil， other fertilizer treatments significantly increased bacterial and fungal diversity in the soil. Different fertilizer treatments significantly affected the composition of bacterial and fungal communities in the soil. At the phylum level， the dominant bacterial phyla included Proteobacteria， Acidobacteriota， and Bacteroideta， and the dominant fungal phyla were Ascomycota， Mortierellomycota， and unclassified_fungi in the rhizosphere soil of C. pilosula after bacterial fertilizer treatment. At the genus level， unclassified Gemmatimonadaceae， Sphingomonas， and unclassified Vicinamibacteraceae were the dominant bacterial genera， while unidentified， unclassified Fungi， and unclassified Sordariomycetes were the dominant fungal genera in the rhizosphere soil. The results of redundancy analysis indicated that the main physicochemical factors affecting changes of microbial communities in the rhizosphere soil of C. pilosula were pH， EC， AK， AN， AP， and soil organic matter （SOM） in the soil. The correlation heatmap showed that Bryobacter had significantly positive correlations with EC， AK， and AN. There was a significantly negative correlation between Fusarium and SOM. In summary， applying an appropriate amount of microbial fertilizer can promote the growth and improve the rhizosphere soil environment of C. pilosula. ConclusionThe compound microbial fertilizer and the C. pilosula stems and leaves fermented with compound microbial fertilizer can improve the soil nutrients， growth， development， yield， and quality of C. pilosula， and thus they can be applied to the artificial cultivation of C. pilosula.