ObjectiveTo explore the clinical effects of cold therapy in treatment of inflammatory hemorrhoids.MethodsSixty patients were separated into two groups according to the visiting sequence with 30 cases each.The treatment group accepted cold therapy,meanwhile the control group took the tablets diosmin and accepted hot compress with 50％ magnesium sulfate.ResultsThe symptoms evaluation score was ( 10.5 ± 1.3 ) scores and (6.4 ± 1.2) scores before and after treatment in treatment group,while ( 10.3 ±1.4) scores and(9.4 ± 1.3) scores in control group,there was no significant difference before treatment between two groups (P＞ 0.05 ),but there was significant difference after treatment between two groups (P＜0.05).After 3 days treatment,cure rate was 60.0％(18/30),eifficient rate was 90.0％(27/30) in treatment group,while 10.0％ (3/30),53.3％ ( 16/30 ) in control group,there were significant differences between two groups(P＜ 0.05).ConclusionCold therapy is good for inflammatory hemorrhoids.

Objective This study utilizes bioinformatics methods to analyze differentially expressed genes(DEGs)between Alzheimer's disease(AD)and vascular dementia(VD)compared to normal controls.The aim is to identify key genes and validate their relevance to both types of dementia.Methods Gene chip dataset GSE122063 were obtained from the Gene Expression Omnibus(GEO)database.Using the GEO2R tool,DEGs in AD,VD,and normal control group were screened.We constructed a protein-protein interaction network using the STRING database and identified key genes through Cytoscape.Subsequently,DAVID database were used to analyze gene ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways associated with interconnected DEGs,predicting their biological functions.Finally,diagnostic performance were validated and assessed by using receiver operating characteristic curves.Results In the AD and VD groups,we identified 1099 and 505 DEGs,respectively,with 69 genes showing associations in the protein-protein interaction network.GO analysis revealed that DEGs are primarily located in the extracellular matrix,cell surface,and plasma membrane.They influence biological processes such as signal transduction and inflammatory responses,with functions related to receptor binding and signal receptor activity,collectively contributing to dementia development.KEGG analysis indicated significant enrichment of DEGs in immune-related signaling pathways,including microbial infections,rheumatoid arthritis,systemic lupus erythematosus,and inflammatory bowel disease.Four key genes—CCR5,CCL2,FCGR2A,and ITGB2—with significantly elevated expression in both AD and VD groups were indentifiied.The area under the curve suggests their potential diagnostic value for dementia.Conclusion Through bioinformatics analysis of AD and VD,the enriched signaling pathways and key genes associated with immunity and inflammation were discovered.These findings may play a crucial role in dementia progression and provide new insights for early diagnosis.

Small cell lung cancer (SCLC) is a neuroendocrine tumor with fast progression, high malignancy, easy recurrence, and extremely poor prognosis. In the past 30 years, the clinical treatment strategy of SCLC has been mainly chemotherapy and radiotherapy, but the curative effect is not significant; the current immunotherapy of SCLC has gradually entered the clinic and has made certain progress. Tumor immunotherapy includes immune checkpoint inhibitors, tumor vaccines, cytokines, chimeric antigen receptor T-cell immunotherapy (CAR-T) therapy, etc. Currently, immune checkpoint inhibitors are the most widely used. This article summarizes the principles of immune checkpoint inhibitors and related drugs, summarizes their domestic and foreign clinical trials progress in SCLC treatment, reviews the biomarkers used in the therapy, and discusses its future development direction.
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Cancer Vaccines/therapeutic use* ; Clinical Trials as Topic ; Humans ; Immune Checkpoint Inhibitors ; Immunotherapy ; Lung Neoplasms/drug therapy* ; Small Cell Lung Carcinoma/drug therapy*