Integrated Analysis of Multiple Microarray Studies to Identify Novel Gene Signatures in Ulcerative Colitis.

Background: Ulcerative colitis (UC) is a chronic, complicated, inflammatory disease with an increasing incidence and prevalence worldwide. However, the intrinsic molecular mechanisms underlying the pathogenesis of UC have not yet been fully elucidated. Methods: All UC datasets published in the GEO database were analyzed and summarized. Subsequently, the robust rank aggregation (RRA) method was used to identify differentially expressed genes (DEGs) between UC patients and controls. Gene functional annotation and PPI network analysis were performed to illustrate the potential functions of the DEGs. Some important functional modules from the protein-protein interaction (PPI) network were identified by molecular complex detection (MCODE), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG), and analyses were performed. The results of CytoHubba, a plug for integrated algorithm for biomolecular interaction networks combined with RRA analysis, were used to identify the hub genes. Finally, a mouse model of UC was established by dextran sulfate sodium salt (DSS) solution to verify the expression of hub genes. Results: A total of 6 datasets met the inclusion criteria (GSE38713, GSE59071, GSE73661, GSE75214, GSE87466, GSE92415). The RRA integrated analysis revealed 208 significant DEGs (132 upregulated genes and 76 downregulated genes). After constructing the PPI network by MCODE plug, modules with the top three scores were listed. The CytoHubba app and RRA identified six hub genes: LCN2, CXCL1, MMP3, IDO1, MMP1, and S100A8. We found through enrichment analysis that these functional modules and hub genes were mainly related to cytokine secretion, immune response, and cancer progression. With the mouse model, we found that the expression of all six hub genes in the UC group was higher than that in the control group (P < 0.05). Conclusion: The hub genes analyzed by the RRA method are highly reliable. These findings improve the understanding of the molecular mechanisms in UC pathogenesis.

Risk factors for intracranial infection after craniotomy: A case-control study.

BACKGROUND: Intracranial infection, serving as a severe postoperative infection after craniotomy, poses significant problems for patients' outcomes. OBJECTIVE: To explore risk factors for intracranial infection after craniotomy. METHODS: A total of 2,174 patients who underwent craniotomy from 1 May 2018 to 30 June 2019 were retrospectively studied. Finally, 196 patients with intracranial infections were classified as case group, and 392 patients randomly selected from patients without intracranial infection were classified as control group. Demographic, clinical, laboratory, microbiological, and antimicrobial data were systemically recorded. The characteristics, pre- and postoperative variables, and other variables were evaluated as risk factors for intracranial infection by univariate analysis and binary logistic regression model. RESULTS: There was no significant difference in terms of demographics between two groups, except for gender, hypertension, length of stay (LOS), intraoperative blood loss, tumor, and trauma surgery. The independent risk factors were male, age ≤45, hypertension, tumor surgery, surgery in autumn (compared with spring), surgical duration ≥4 hr, intraoperative blood loss ≥400 ml, and postoperative oral infection, coma, and serum RBC > normal value. Trauma surgery (p < .001, OR = 0.05, 95% CI: 0.017-0.144) was an independent protective factor (p < .05, OR < 1) for intracranial infection. All 196 patients in the case group submitted specimens for cerebrospinal fluid (CSF) cultures, and 70 (35.71%) patients had positive results. Gram-positive pathogens predominated (59 cases, 84.28%). Staphylococcus were the most common causative pathogens, and fully resistant to aztreonam, cefazolin, and benzylpenicillin, but not resistant to linezolid and minocycline. CONCLUSION: Identifying the risk factors, pathogens, and pathogens' antibiotic resistance for intracranial infection after craniotomy plays an important role in the prognosis of patients.

A novel method to derive and expand mice neural stem cells efficiently without neuro-sphere formation.

Neural stem cells (NSCs) are multi-potent stem cells able to self-renew and generate immature and differentiated cell populations by asymmetric division. The NSCs are of considerable interest for cell replacement in neuro-degenerative diseases. NSCs are usually identified and expanded by their ability to generate free-floating aggregates termed neurospheres. However, neurospheres are not a pure population of NSCs with as little as 1% population in primary spheres. Neurospheres also contain neurons, astrocytes and oligodendrocytes. The heterogeneity of these cells may hinder their repopulation potential when used in cell transplantation. Furthermore, to obtain 1 million NSCs by the neurosphere protocol usually takes one month, which is inconvenient for future clinical trials. In this study, we tried to derive the NSCs from mice embryo neuroepithelium without neurosphere formation. Three different protocols were compared. We generated a direct and efficient NSCs generation, expanding and freezing protocol. This protocol can provide sufficient amount of the NSCs from first a few passages for cell transplantation.