Objective To explore the influence of automatic and semi-automatic hemodialyzer reuse method on hemodialyzer reuse effect. Methods 1728 dialyzers were randomly divided into automatichemodialyzer reuse group and semi- automatic hemodialyzer reuse group with 864 dialyzers in each group. Thetime of douching and testing, the cost of sterilization,the frequency of the pyrphgen reaction,the broken dialyzer membrane and re-examined dialyzer between the two groups were measured. Results The time of douching dialyzer, testing of total cell volume and pressure in the semi- automatic hemodialyzer reuse group was (26.443±3.237), (2.172±0.128) and (2.157±0.090) minutes respectively,while the automatic hemodialyzer reuse group was (5.793±0.193), (1.257±0.118) and (1.110±0.076) minutes respectively. The frequency of re-examined dialyzer in testing total cell volume and pressure was 499(57.755%), 243(28.125%) respectively. At the same time, all dialyzer in semi-automatic hemodialyzer reuse group could be examined successfully at a time. The cost of sterilization in automatic henmdialyzer reuse group was (9.330±0.138)yuan. No pyrogen reaction and broken dialyzer membrane happened. Conclusions The semi-automatic bemodialyzer reuse group can retrench cost during perfusion,but consumes long douching time, lacks matching detection equipment, difficult to detect, and is not easy to read data and has high re- examination rate. while in the automatic hemodialyzer group, it is convenient of douching and detection, but the cost of sterilization and equipment is high, and clinical demand can be fulfilled only when the dialysis center can allocate reasonable number of the machines.

Objective:To evaluate the efficacy and safety of cytoreductive surgery (CRS) in conjunction with hyperthermic intra-peritoneal chemotherapy (HIPEC) for treating patients with peritoneal carcinomatosis (PC) from colorectal cancer (CRC). Methods:A total of 62 CRC patients with complication of PC were divided into the CRS group, namely, Group One (n=29, CRS and systemic adju-vant chemotherapy) and the CRS+HIPEC group, namely, Group Two (n=33, CRS+HIPEC). The primary end point of the study was overall survival (OS) and the secondary end point was serious adverse events (SAE). Results:Patients' clinicopathologic characteris-tics, peritoneal carcinomatosis index, and completeness of cytoreduction therapy were well balanced and comparable between the two groups. The median follow-up was 41.9 mo (6.5 mo to 110.0 mo) in Group One and 32.0 mo (10.5 mo to 95.9 mo) in Group Two. The median OS was 8.5 mo (95%CI:4.9 mo to 12.1 mo) in Group One and 14.5 mo (95%CI:11.9 mo to 17.1 mo) in Group Two (P=0.007). Within 30 days after the surgery, SAE occurred in 3 of the 29 patients in Group One, and 9 of the 33 patients in Group Two (P=0.126). Multivariate analysis revealed that HIPEC, CC0-1 score, and chemotherapy over six cycles were the independent factors for OS improvement. Conclusion:The CRS+HIPEC method improves the OS of patients with PC from CRC, suggesting an acceptable safety.

Objective:To screen highly expressed inflammatory factors in diabetic nephropathy models using protein microarray, analyze differential genes and their regulatory networks, and predict potential therapeutic small molecular compounds.Methods:The inflammatory factor microarray was used to screen the inflammatory factors with the same tendency in the cell model and animal model of diabetic nephropathy. The differential genes screened by R language were enriched and analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG). STRING builds a protein interaction network online, Cytoscape software analyzes the core subnetwork, and Connectivity Map searches for and predicts small molecule compounds.Results:Diabetic nephropathy model was established using 16-week-old db/db mice and mesangial cells stimulated with high glucose, and the expression of C-X-C motif chemokine ligand 1(CXCL1) was elevated in both models. Multiple GEO datasets indicated a strong association between the high expression of CXCL1 and diabetic nephropathy. Specifically, GSE30122 showed an upregulation of 30 genes and a downregulation of 23 genes. GO enrichment analysis focused on biological processes such as humoral immunity and lipopolysaccharide response; While KEGG enrichment was mainly in pertussis and coagulation cascade pathways. CytoHubba identified 10 hub genes, such as ALB, LUM, and CXCL1. In addition, 10 small molecule compounds were predicted as potential therapeutic drugs using Connectivity Map.Conclusions:CXCL1 may serve as a key gene in the occurrence and development of diabetic nephropathy. ALB, LUM, CXCL1, MMP7, TGFBI, CCL2, S100A4, SOX9, VCAN, and CLU may participate in the regulatory network centered around CXCL1. There are 10 small molecular compounds demenestrating the potential to be therapeutic agents.