Objective To screen the core genes of diabetic kidney disease(DKD)based on bioinformatics,ex-plore the therapeutic targets of DKD,and discuss its possible regulatory mechanism.Methods The expression da-ta matrix of glomerular transcriptome in patients with DKD in GEO database(GSE30528,GSE47183)was extrac-ted,and the differentially expressed genes(DEGs)were screened by bioinformatics methods to identify the core differential genes,and then gene expression and enrichment analysis(GSEA)were conducted to predict effective targets.Results By screening and identifying the mRNA expression matrix of DKD,five core genes were screened out.Among them,C1orf21 and NPHS1 were significantly down regulated,and CD48,COL1A2,and TGFBI were up regulated.NPHS1 and CD48 were significantly related to immune differences,intercellular communication,and cell surface interaction.Through receiver operating characteristic curve(ROC)analysis and GSEA analysis and drug target prediction,it might be of great significance for the treatment of DKD.Conclusion The core genes screened in this study have significant correlation with DKD,which may be used as effective markers for the treat-ment of diabetes.And then,this study provides a theoretical basis for the treatment and identification of DKD.

Objective: To investigate the prevalence of human T-lymphotropic virus (HTLV) infection among blood donors in Hunan Province from 2022 to 2024. Methods: A total of 1 830 342 blood donors from 14 prefecture-level blood centers in Hunan Province over the past three years were screened for anti-HTLV-Ⅰ/Ⅱ using enzyme-linked immunosorbent assay (ELISA). Initially reactive samples were further tested with Line Immunoassay (LIA )/MP-Western blot and RT-PCR nucleic acid test for confirmation. Blood donors confirmed positive for HTLV were tracked and followed up. Results: From 2022 to 2024, the initial ELISA reactive rate for anti-HTLV-I/II among blood donors in Hunan Province was 1.36 per 10 000 (249/1 830 342). The confirmed positive rate was 0.20 per 10 000 (37/1 830 342), accounting for 14.86% of the initially reactive donors. The follow-up success rate for confirmed HTLV-positive blood donors was only 18.92%, while that for HTLV-indeterminate donors was 54.17%. Conclusion: The confirmed HTLV infection rates in Yueyang, Loudi, Shaoyang, Yiyang, and Zhuzhou cities were higher than the provincial (0.20 per 10 000). Chenzhou, Yongzhou, Zhangjiajie, and Xiangxi were identified as low prevalence areas, with an infection rate of 0. The overall follow-up success rate was low, indicating significant difficulties and bottlenecks in follow-up work. The comprehensive screening for HTLV and follow-up studies in Hunan provide valuable data to further improve blood safety testing strategies and risk warning mechanisms.