This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

AIM: To assess the stability of the tear film and the characteristics of corneal nerves in patients with Parkinson's disease(PD).METHODS: This cross-sectional observational study included 72 PD patients and 50 healthy controls. Disease severity was determined using the Hoehn-Yahr(H-Y)scale, dividing patients into mild and moderate PD groups. Dry eye symptoms were evaluated via the ocular surface disease index(OSDI)questionnaire, while tear secretion was quantified using the Schirmer I test. Ocular surface damage was assessed through staining scores, and comprehensive ocular examinations were performed utilizing the LipiView ocular surface interferometer and an ocular surface analyzer. Corneal nerve parameters were examined using corneal confocal microscopy in conjunction with automated analysis software ACCMetrics, with correlations drawn between these parameters, PD course, and severity.RESULTS: PD patients exhibited significantly elevated OSDI scores, indicative of more pronounced dry eye symptoms compared to the control group(F=70.290, P<0.01). Tear film stability was markedly compromised, with significantly shorter tear film breakup time and increased corneal fluorescein staining, both showing statistically significant differences relative to controls(all P<0.01). Tear secretion indices, including Schirmer I test results and tear meniscus height, were significantly reduced in PD patients(all P<0.01), whereas lipid secretion indices, such as lipid layer thickness and meibomian gland dropout score, did not show significant variation. Corneal nerve analysis revealed significant reductions in corneal nerve fiber density, nerve branch density, fiber length, and total branch density in PD patients compared to controls(all P<0.01). Furthermore, blink frequency was markedly prolonged(F=62.353, P<0.01). Correlation analysis demonstrated a significant relationship between alterations in tear film stability and both disease duration and H-Y scores.CONCLUSION: PD patients have obvious dry eye manifestations in the early stage of the disease, including the reduction of tear film stability and corneal nerve fiber density, and gradually aggravate with the progress of the disease. Neurodegenerative disease-related dry eye needs to be diagnosed early and actively treated.

ObjectiveThis study aims to reveal the mechanism of liver and kidney injuries caused by Dictamni Cortex and its interrelationship by metabonomics analysis of liver and kidney via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）. MethodsThe content of the marker compounds of Dictamni Cortex was measured by high-performance liquid chromatography （HPLC） to carry out quality control. Sprague Dawley （SD） rats were randomly divided into a blank group （normal saline）， an administration group （0.9， 2.7， 8.1 g·kg^-1）， and a high-dose withdrawal control group， with eight rats in each group. Continuous administration was performed once daily for 28 days. The liver and kidney injuries caused by each administration group were assessed by organ indices， pathological observations， and serum and plasma biochemical indices measured by enzyme-linked immunosorbent assay （ELISA）. The potential biomarkers of liver and kidney injuries caused by Dictamni Cortex were screened， and pathway enrichment analysis and correlation analysis were performed based on UPLC-Q-TOF-MS. ResultsCompared with the blank group， both the medium- and low-dose groups showed insignificant damage to the liver and kidney of rats. The high-dose group exhibited the most serious damage， and the level of liver and kidney function indices ［alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， creatinine （Cr）， and blood urea nitrogen （BUN）］ and serum inflammatory indices （［interleukin 1β （IL-1β）， IL-6， and tumor necrosis factor-α （TNF-α）］ in the serum were significantly changed （P<0.01）. The liver and kidney metabolism pathways and differential metabolites were quite different. Among them， phenylalanine metabolism， niacin and nicotinamide metabolism， and glycerophospholipid metabolism were common pathways. Correlation analysis of differential metabolites showed that there were significant correlations among disorders of 4′-Phosphopantothenoylcysteine， PC （16∶0/15∶0）， phenylethylamine， arachidonic acid， and linoleic acid in liver and kidney tissue. ConclusionThe decoction of Dictamni Cortex can cause liver and kidney injuries， and its mechanism may be related to oxidative stress and lipid metabolism disorders. The correlation of differential metabolites indicates the interaction between liver and kidney injuries.

ObjectiveTo explore the mechanism of the immunotoxicity induced by dictamnine （DIC） in rats and the recovery effect after drug withdrawal by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry， thereby providing a theoretical basis for elucidating the toxic mechanism of DIC. MethodsSD rats were randomized into blank （normal saline）， DIC （10 mg·kg^-1）， and DIC withdrawal （recovery period） groups （n=8）. The rats were continuously treated for 7 days， once a day， and the body weight and organ weight were recorded. The levels of interleukin-1 （IL-1）， IL-6， and tumor necrosis factor-α （TNF-α） in the serum and immunoglobulin A （IgA）， immunoglobulin G （IgG）， and immunoglobulin M （IgM） in the spleen were determined by enzyme-linked immunosorbent assay. Hematoxylin-eosin staining was used to observe the pathological changes in the spleen. ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS） was employed to screen the potential biomarkers of immune inflammation caused by DIC， and pathway enrichment analysis and correlation analysis were performed. The mRNA levels of IL-1β， TNF-α， lysophosphatidylcholine acyltransferase 2 （LPCAT2）， and farnesoid X receptor （FXR） in the serum were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， the DIC group showed elevated levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）， and the DIC withdrawal group showcased lowered levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）. The levels of IgA， IgG， and IgM in the spleen of rats in the DIC group were decreased （P<0.01）， while those in the DIC withdrawal group were recovered （P<0.05， P<0.01）. Untargeted metabolomics of the serum and spleen screened out 14 common differential metabolites and 14 common metabolic pathways. The Spearman correlation analysis between differential metabolites and inflammatory factors identified PC （32∶0）， LysoPC （20∶4/0∶0）， LysoPC （P-18∶0/0∶0）， taurochenodeoxycholic acid， taurocholic acid， LysoPC ［20∶5（5Z，8Z，11Z，14Z，17Z）/0∶0］， chenodeoxycholic acid， arachidonic acid， LysoPC （18∶0/0∶0）， LysoPC （15∶0/0∶0）， LysoPC （16∶0/0∶0）， and LysoPC （17∶0/0∶0） as the biomarkers of immunotoxicity induced by DIC in SD rats. In the process of immunotoxicity caused by DIC， lipid metabolism disorders such as glycerophospholipid metabolism， primary bile acid metabolism， and arachidonic acid metabolism were enriched， which was consistent with the DIC-induced inflammatory factors and pathological characteristics of the spleen. Compared with the blank group， the DIC group exhibited up-regulated mRNA levels of IL-1β， TNF-α， LPCAT2， and FXR （P<0.01）， and the up-regulation was decreased in the withdrawal group （P<0.01）. ConclusionDIC can lead to immune and inflammatory disorders. DIC withdrawal can regulate the expression of biomarkers related to serum and spleen metabolites， regulate the inflammatory metabolic pathway， reduce the inflammation level， and alleviate the metabolic disorders， thus attenuating the potential toxicity induced by DIC.

ObjectiveTo explore the epidemic levels and epidemiological characteristics of influenza-like illness (ILI) in Hongkou District of Shanghai, to track the trends in virus mutations, so as to offer a scientific foundation for precisely predicting influenza epidemic trends, providing early alerts, and implementing prompt prevention and control measures. MethodsData on ILI and etiological surveillance from Hongkou District between 2015 and 2024 were collected and statistically analyzed. ResultsThe consultation percentage of ILI (ILI%) in Hongkou District from 2015 to 2024 was 0.58%, and the differences were statistically significant between different years (χ²=19 280.500, P<0.001), with winter and summer being the prevalence peaks. The highest proportion of ILI cases was observed in the 25‒<60 years age group, and the proportion of cases aged ≥60 years showed an increasing trend. The positive rate for influenza viruses was 17.60%, with seasonal influenzaA (H3N2) subtype (49.78%) and influenza A(H1N1) (30.03%) being the predominant strains,and the positive rate was different by years. There was a correlation between ILI% and the positive rate of influenza viruses (r=0.260, P<0.001). The median intensity of influenza activity in 2023‒2024 was 23.09, which was significantly higher than that in 2015‒2019 (H=37.052, P<0.001) and that in 2020‒2022 (H=40.436, P<0.001). ConclusionFrom 2015 to 2022, the ILI% in Hongkou District, Shanghai remained at a relatively low level, but it significantly increased in 2023‒2024, with peaks observed in winter and summer. The predominant influenza virus strains varied and alternated by years. The 2023‒2024 period witnessed an intensified influenza activity. It is necessary to continuously monitor the impact of other respiratory pathogens on influenza epidemic, so as to provide a scientific basis for early warning and prevention and control of influenza.

AIM:To evaluate the clinical efficacy of 0.05% cyclosporine eye drops(Ⅱ)combined with sodium hyaluronate eye drops in treating patients with type 2 diabetes mellitus(T2DM)and moderate-to-severe dry eye.METHODS:A total of 120 T2DM patients(120 eyes)with moderate-to-severe dry eye, treated at the endocrinology and ophthalmology departments at the Affiliated Hospital of Xuzhou Medical University from January 2024 to September 2024, were enrolled in the study. The patients were randomly divided into two groups: combination group [0.05% cyclosporine eye drops(Ⅱ)+ sodium hyaluronate eye drops] and control group(sodium hyaluronate eye drops alone), with 60 cases(60 eyes)in each group. Assessments were conducted at baseline and at 1, 2, and 3 mo post-treatment, including the ocular surface disease index(OSDI), non-contact tear meniscus height(NITMH), first non-invasive tear breakup time(NIBUTf), meibomian gland loss score, lipid layer thickness grade, conjunctival hyperemia grade, and corneal fluorescein staining(FL)score. At 3 mo after treatment, changes in tear inflammatory factors were observed, and corneal subbasal nerve plexus(SBN)morphology/density were analyzed using in vivo confocal microscopy(IVCM).RESULTS:At 1, 2, and 3 mo post-treatment, both groups showed statistically significant increases in NITMH and NIBUTf compared to baseline(all P<0.05), with greater improvement observed in the combination group(both P<0.05). OSDI and FL scores significantly decreased from baseline(all P<0.05), with more pronounced reductions in the combination group(both P<0.05). Meibomian gland loss scores showed no significant improvement in either group(all P>0.05). At 3 mo after treatment, tear levels of interleukin 6(IL-6)and matrix metalloproteinase-9(MMP-9)significantly decreased in both groups(all P<0.001), with a greater reduction noted in the combination group(both P<0.001). The combination group displayed increased corneal nerve branch density and nerve fiber density, along with decreased nerve tortuosity and dendritic cell(DC)density compared to baseline(all P<0.001), while the control group did not show significant changes(all P>0.05).CONCLUSION: The combination of 0.05% cyclosporine eye drops(Ⅱ)and sodium hyaluronate eye drops significantly improves clinical outcomes in T2DM patients with moderate-to-severe dry eye. This treatment effectively alleviates ocular surface inflammation, restores corneal nerve morphology and density, and demonstrates a favorable safety profile.

Objective To investigate the efficacy and mechanism of the combination of cryoablation and Yangfei establish the Lewis lung cancer mouse model,and randomly divided into model group,cryoablation group,cryoablation+cisplatin group,cryoablation+Yangfei Prescription low-,medium-and high-dosage groups,with 5 mice in each group.Sham-operation was performed in the model group,cryoablation+cisplatin group were given intraperitoneal injection of cisplatin 3 mg/kg after cryoablation,cryoablation+Yangfei Prescription low-,medium-and high-dosage groups were given 1.64,3.28,6.56 g/kg Yangfei Prescription by gavage after cryoablation respectively,and the model group was given equal volume of normal saline by gavage for 14 consecutive days.Tumor volume and tumor mass were measured,the morphology of tumor tissue was observed by HE staining,the expression of Ki-67 protein in tumor tissue was detected by immunohistochemistry.The differentially expressed genes in tumor tissues after cryoablation combined with Yangfei Prescription intervention were analyzed by whole transcriptome sequencing,GO and KEGG pathway enrichment analysis was performed on differentially expressed genes,and the lncRNA/circNA-mediated ceRNA network was constructed.Differentially expressed genes were verified using RT-qPCR.Results The main active components of Yangfei Prescription were terpenoids,flavonoids and aldehydes.Compared with the model group,tumor volume and tumor mass decreased(P<0.05)in cryoablation+Yangfei Prescription low-,medium-and high-dosage groups and cryoablation+cisplatin group;cryoablation combined with Yangfei Prescription could destroy the structure of tumor tissue and inhibit cell proliferation(P<0.05).A total of 1 585 differentially expressed genes(1 160 mRNA,225 lncRNA,155 miRNA and 45 circRNA)of the model group and cryoablation+Yangfei Prescription high-doseage group were obtained.GO enrichment analysis mainly involved biological processes such as immune system response and cell proliferation,cellular components such as protein complex and cell junction,molecular functions such as transcription regulator activity and molecular function regulator;KEGG pathway enrichment mainly occurred in cancer-related pathways such as PI3K-Akt signaling pathway,Th17 cell differentiation,mTOR signaling pathway,FOXO signaling pathway,etc.The lncRNA-mediated ceRNA network was composed of 97 lncRNA,73 miRNA and 417 mRNA,and the circRNA-mediated ceRNA network was composed of 26 circRNA,68 miRNA and 157 mRNA.RT-qPCR validated the expressions of 15 differentially expressed genes,which was consistent with the sequencing results.Conclusion Cryoablation combined with Yangfei Prescription can inhibit the tumor growth of Lewis lung cancer bearing mice,destroy the structure of tumor tissue,inhibit cell proliferation,the mechanism may be related to the regulation of Gm38393/miRNA-136-5p/Zfp704 axis.

Objective To explore the predictive value of growth differentiation factor 15(GDF-15)for atrial fibrillation(AF)in patients with coronary heart disease(CHD).Methods A prospective observation cohort of 1261 elderly CHD patients was randomly sampled from the First Medical Center of Chinese PLA General Hospital from January 2012 to December 2015.ELISA was used to detect GDF-15 level in all the subjects,and their baseline data were collected.Until March 2023,93 patients were lost during the follow-up period,and finally 1168 patients completed the follow-up,with a median time of 9.4 years.According to AF occurred or not during the period,the eligible patients were divided into an AF group(197 cases)and a non-AF group(971 cases),and based on their medical history,also assigned into a stable angina pectoris(SAP,n=304)and an acute coronary syndrome group(ACS,n=864).Logistic regression analysis was used to determine whether GDF-15 is a risk factor for AF in elderly CHD patients.ROC curve was plotted to assess the predictive value of GDF-15,guideline recommended CHARGE-AF scoring model,and their combination for AF events in the patients.Results The AF group had significantly advanced age,larger proportions of smoking history,type 2 diabetes,hypertension,old myocardial infarction,stroke,ACS and administration of statins,higher ratio of angiotensin converting enzyme inhibi-tor/angiotensin receptor blocker,and elevated levels of GDF-15 and N-terminal pro-B-type natri-uretic peptide,and lower left ventricular ejection fraction,SAP incidence,and low-density lipopro-tein cholesterol,total cholesterol and triglycerides levels when compared with the non-AF group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that GDF-15 was not a risk factor for AF in elderly CHD patients(OR=0.92,95％CI:0.74-1.16,P=0.489),but was a risk factor for AF in SAP patients(OR=1.38,95％CI:1.07-2.79,P=0.015),and in ACS patients,still not a risk factor for AF(OR=0.81,95％CI:0.63-1.05,P=0.814).ROC curve analysis showed that the AUC value of GDF-15 combined with the CHARGE-AF scoring model in predic-ting AF was 0.682 in the elderly CHD patients,0.746 in the SAP patients,and 0.680 in the ACS patients.Conclusion Elevated GDF-15 level is an independent risk factor and predictor of AF in elderly SAP patients.In SAP patients,the combination of GDF-15 and CHARGE-AF scoring model further improves the predictive performance of AF occurrence.