No abstract

The goal of this study was to evaluate how epilepsy affected the health-related quality of life (HRQOL) in children with epilepsy, as well as the risk factors for poor HRQOL. Parents of epileptic children (n = 223) and parents of healthy children (n = 216) were enrolled. The Child Epilepsy Questionnaire-Parental form was given to all parents. Children with epilepsy had significantly lower HRQOL scores for overall QOL and all subscales. Seizure types were not associated with HRQOL, but the age of the child with epilepsy, disease courses and seizure frequency did influence the quality of life. Epilepsy has a severe impact on children's HRQOL, and age, increased seizure frequency and longer duration of epilepsy are associated with poor HRQOL.

BackgroundElevated rates of affective disturbance in children with benign childhood epilepsy with centrotemporal spikes (BCECTS) have been reported. However, it remains unclear how anxiety and depression are related to epilepsy, and it is unknown whether these mood disorders are influenced by the use of antiepileptic drugs. In the present report, we performed a prospective study designed to evaluate affective disorders (anxiety and depression) without the bias of antiepileptic drug treatment in 89 children with BCECTS, based on self-reporting. Furthermore, we sought to determine whether clinical factors, such as age, disease course, seizure frequency, and spike wave index (SWI), were related to the psychological profiles.MethodsPatients with BCECTS (n = 89) and healthy matched controls (n = 75) were included in this study. The Depression Self-Rating Scale for Children (DSRSC) and the Screen for Child Anxiety-Related Emotional Disorders (SCARED) were completed by the children.ResultsNone of the children met criteria for clinically significant anxiety or depression. However, the children with BCECTS had significantly higher depression and anxiety scores compared with children in the control group. We found no significant differences in depression or anxiety between the left, right, and bilateral lobe groups. The DSRSC scores were similar between the children with partial seizures and those with secondarily generalized seizures. Similarly, there were no significant differences in the SCARED scores between these two groups. However, the DSRSC and SCARED scores were positively correlated with age, seizure frequency, SWI, and disease course.ConclusionsThe children with BCECTS had an increased likelihood of depression and anxiety, and these higher rates were unrelated to seizure type or epileptic focus, but were positively correlated with age, seizure frequency, SWI, and disease course.

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, we collected open access data to analyze the mechanisms associated with SARS-CoV-2 infection. Gene set enrichment analysis (GSEA) revealed that apoptosis-related pathways were enriched in the cells after SARS-CoV-2 infection, and the results of differential expression analysis showed that biological functions related to endoplasmic reticulum stress (ERS) and lipid metabolism were disordered. TMBIM6 was identified as a potential target for SARS-CoV-2 in host cells through weighted gene coexpression network analysis (WGCNA) of the time course of expression of host and viral proteins. The expression and related functions of TMBIM6 were subsequently analyzed to illuminate how viral proteins interfere with the physiological function of host cells. The potential function of viral proteins was further analyzed by GEne Network Inference with Ensemble of trees (GENIE3). This study identified TMBIM6 as a target protein associated with the pathogenesis of SARS-CoV-2, which might provide a novel therapeutic approach for COVID-19 in the future.

Radiotherapy (RT) plays an important role in the prognosis of lung adenocarcinoma (LUAD) patients, but the radioresistance (RR) of LUAD is still a challenge that needs to be overcome. The current study aimed to investigate LUAD patients with RR to illuminate the underlying mechanisms. We utilized gene set variation analysis (GSVA) and The Cancer Immunome Atlas (TCIA) database to characterize the differences in biological functions and neoantigen-coding genes between RR and radiosensitive (RS) patients. Weighted Gene co-expression network analysis (WGCNA) was used to explore the relationship between RT-related traits and hub genes in two modules, i.e., RR and RS; two representative hub genes for RR (MZB1 and DERL3) and two for RS (IFI35 and PSMD3) were found to be related to different RT-related traits. Further analysis of the hub genes with the Lung Cancer Explorer (LCE), PanglaoDB and GSVA resources revealed the differences in gene expression levels, cell types and potential functions. On this basis, the Tumor and Immune System Interaction Database (TISIDB) was used to identify the potential association between RR genes and B cell infiltration. Finally, we used the Computational Analysis of Resistance (CARE) database to identify specific gene-associated drugs for RR patients and found that GSK525762A and nilotinib might be promising candidates for RR treatment. Taken together, these results demonstrate that B cells in TME may have a significant impact on the RT and that these two drug candidates, GSK525762A and nilotinib, might be helpful for the treatment of RR patients.

Departmental sources Background: Chest CT has an essential role in the detection and evaluation of novel coronary pneumonia (COVID-19) and has be regarded as a critical supplement for RT-PCR. This study explored the dynamic CT manifestations of COVID-19 at different times and the value of some laboratory indicators for clinical guidance. Material/Methods: This retrospective review included 44 patients who were infected with COVID-19. The dynamic chest CT and laboratory findings were obtained from electronic medical records. The intervals between onset and CT scans and the dynamic changes of the lesions were recorded. The above data were reviewed, sorted, and analyzed by using SPSS 21.0 software. Results: From the time of onset, the dynamic image of the lungs became more complete. Fibrous cord shadow absorption in the lungs were observed. Experimental indicators, biochemical indicators of lymphocytes, and protein series were decreased to varying degrees, while erythrocyte sedimentation, fibrinogen, and D-dimer were increased to varying degrees. Conclusions: The dynamic changes of CT images of lungs of COVID-19 patients, combined with the clinical manifestations and laboratory indicators of patients, can help guide clinical diagnosis and treatment.

Purpose Retinoid-binding protein (RBP7) is a member of the cellular retinol-binding protein (CRBP) family, which is involved in the pathogenesis of breast cancer (BRCA). The study aims to illustrate the prognostic value and the potential regulatory mechanisms of RBP7 expression in BRCA. Methods We utilized a series of bioinformatics tools, including HPA, GEPIA, UALCAN, ONCOMINE, Kaplan–Meier plotter, PROGeneV2, TISCH, LinkedOmics, UCSC Xena, MethSurv, SMART APP, bc-GenExMiner4.7, OSbrca, STRING, CARE, SwissDock and R software packages, to investigate the expression, prognostic value and functional regulatory networks of RBP7 in BRCA. Results Bioinformatics analysis with the TCGA and CPTAC databases revealed that the mRNA and protein expression levels of RBP7 in normal were higher compared to BRCA tissues. Survival analysis displayed that the lower expression of RBP7, the worse the prognosis in ER-positive (ER+) BRCA patients. Genomic analysis showed that promoter methylation result in transcriptional silencing of RBP7 in BRCA. Functional enrichment analysis demonstrated that downregulation of RBP7 expression may exert its biological influence on BRCA through the PPAR pathway and the PI3K/AKT pathway. Conclusions In summary, we identified RBP7 as a novel biomarker that is helpful for the prognosis of ER+ BRCA patients. Promoter methylation of RBP7 is involved in its gene silencing in BRCA, thus regulating the occurrence and development of ER+ BRCA through the PPAR and PI3K/AKT pathways.

Background: The activation of X-box binding protein 1 (XBP1) plays an essential role in the unfolded protein response (UPR) of the endoplasmic reticulum (ER). XBP1 is commonly expressed in various tumors and is closely related to tumorigenesis and progression. However, the role of XBP1 in lung adenocarcinoma (LUAD), especially the prognostic value of its alternative splicing isoforms, remains largely unknown.Methods: The LUAD datasets were retrieved from the The Cancer Genome Atlas, ArrayExpress and Gene Expression Omnibus. GEPIA2 and meta-analysis were employed to explore the prognostic value, and bioinformatics analysis with the TIMER2.0 database was used to investigate immune cell infiltration. We performed single-cell analyses to identify cell types with high XBP1 expression. In addition, polymerase chain reaction (PCR) and DNA sequencing were performed to verify the authenticity of the new spliceosome.Results: In this study, we found that high expression of XBP1 was significantly associated with a good prognosis, and XBP1 expression was significantly positively correlated with B cell infiltration in LUAD. In addition, we found that high-level expression of a novel splicing isoform, XBP1 (XBP1-003), improved the prognosis of LUAD. Protein structural analysis demonstrated that XBP1-003 has several specific protein domains that are different from those of other XBP1 isoforms, indicating a unique function of this isoform in LUAD.Conclusion: All these results suggest that XBP1 plays an antitumorigenic role in LUAD through alternative splicing, which may be related to the adaptation of plasma cells. This sheds new light on the potential strategy for LUAD prognosis evaluation and immunotherapy.