The quality of sleep has a great relationship with health and working efficiency. The result of sleep stage classification is an important indicator to measure the quality of sleep, and it is also an important way to diagnose and treat sleep disorders. In this paper, the method of detrended cross-correlation analysis (DCCA) was used to analyze sleep stage classification, sleep electroencephalograph signals, which were extracted from the MIT-BIH Polysomnographic Database randomly. The results showed that the average DCCA exponent of the awake period is smaller than that of the first stage of non-rapid eye movement (NREM) sleeps. It is well concluded that the method of studying the sleep electroencephalograph with this method is of great significance to improve the quality of sleep, to diagnose and to treat sleep disorders.
When people are walking, they will produce gait signals and different people will produce different gait signals. The research of the gait signal complexity is really of great significance for medicine. By calculating people's gait signal complexity, we can assess a person's health status and thus timely detect and diagnose diseases. In this study, the Jensen-Shannon divergence (JSD), the method of complexity analysis, was used to calculate the complexity of gait signal in the healthy elderly, healthy young people and patients with Parkinson's disease. Then we detected the experimental data by variance detection. The results showed that the difference among the complexity of the three gait signals was great. Through this research, we have got gait signal complexity range of patients with Parkinson's disease, the healthy elderly and healthy young people, respectively, which would provide an important basis for clinical diagnosis.
ObjectiveTo reveal the potential mechanism of cisplatin resistance in non-small cell lung cancer A549 cells by comparing the expression profiles of wild-type A549 cells and cisplatin-resistant A549 cells (A549/DPP) through whole transcriptome sequencing analysis.MethodsThe cisplatin resistant A549 (A549/DDP) cell line was first established. Then, the whole-transcriptome analysis was conducted both on A549 and A549/DDP cells. Next, the differentially expressed RNAs of lncRNA-seq, circRNA-seq, and miRNA-seq data were identified, respectively, followed by functional enrichment analysis. Finally, a comprehensive analysis based on the whole transcriptome data was performed and the construction of the ceRNA network was carried out.ResultsA total of 4 517 lncRNA, 123 circRNA, and 145 miRNA were differentially expressed in A549/DDP cells compared with the A549 cell line. These different RNAs were significantly enriched in cancer-related pathways. The ceRNA network contained 12 miRNAs, 4 circRNAs, 23 lncRNAs, and 9 mRNA nodes, of which hsa-miR-125a-5p and hsa-miR-125b-5p were important miRNAs based on the topological analysis.ConclusionTumor necrosis factor signaling pathway and p53 signaling pathway are involved in A549/DPP resistance. Hsa-miR-125a-5p and hsa-miR-125b-5p may be potential targets for reversing cisplatin resistance.
ObjectiveTo explore the effect of the serum high mobility group box-1 (HMGB1) on oncosis of pancreatic acinar cells in the rat with severe acute pancreatitis (SAP).
MethodsThirty-two healthy SD rats were randomly divided into 2 groups:sham operation group (SO group, n=8) and SAP group (n=24). Rats of SO group were only flipped the intestinal canal after laparotomy, but rats of SAP group were induced by retrograde injection of 3% sodium taurocholate into bilio-pancreatic duct in addition. Rats of SO group were sacrificed at 6 hours after operation, and rats of SAP group were sacrificed at 6 (SAP-6 hour group, n=8), 12 (SAP-12 hour group, n=8), and 24 hours (SAP-24 hour group, n=8) after operation respectively. Pancreatic tissues were stained by HE to observe pathological changes. Serum HMGB1 was measured by ELISA, and the oncosis percentage of pancreatic acinar cells was examined by flowcytometry.
ResultsPathological results showed that structural integrity was observed in pancreatic acinar, and occasionally a single inflammatory cell infiltration was observed in rats of SO group. Swelling, interstitial edema, and inflammatory cell infiltration were observed in rats of SAP-6 hour group. Some necrosis of pancreatic acinar cell, stromal vascular congestion, and focal necrosis were observed in rats of SAP-12 hour group and SAP-24 hour group, which the pathological damage were worse over time. Levels of serum HMGB1 and oncosis percentages of pancreatic acinar cells in rats of 3 SAP subgroups were all higher than those of SO group (P < 0.01), and the 2 kinds of indexes both increased over time (P < 0.05). There was positive correlation between concentration of serum HMGB1 and oncosis percentages of pancreatic acinar cells in SAP rat during 24 hours after operation (r=0.846, P < 0.01).
ConclusionsHMGB1 seems to play an important role in SAP by inducing oncosis of pancreatic acinar cells when inducing inflammatory reaction in rat with SAP.
