To investigate and summarize the characteristics of mass media reports about medical disputs, and to analyze how the reports impact public perception and behaviors, and finally to propose some suggestions. A total of 385 people were conveniently randomizedly sampled to the survey, including 280 citizens in Beijing and 105 netizens. The results showed reporting modes by the mass media were diversified, and their truthfulness was various. Among them, 63.56% people thought the mass media reporting “medical disputs” almost supported the truthfulness, while 23.29% thought the mass media lacked truthfulness, because the format of the mass media reporting was fast speed rather than good quality. A total of 98.63% people thought the mass media has an impact on the public perception and behaviours, where 69.36% supported their positive aspects, while 30.64% showed negative. Based on the views above, it’s found that the mass media lacked right information of medicine. Therefore, in order to make a harmonious condition of doctor-patient relationship, it’s necessary to truly report the news with a scientific view, to build a platform for the information exchanges between hospitals and media, and to strengthen the social supervision and management.

Objective:The differentially expressed genes were screened from microarray data in the patients with non-syndromic craniosynostosis, and a protein interaction network was established to screen and predict hub genes related to the disease.Methods:The data set of GSE50796 were downloaded from the GEO database, which included seven samples of the closed cranial suture tissues from the non-syndromic craniosynostosis patients, and seven samples of the unclosed cranial suture tissues from the non-syndromic craniosynostosis patients. Analyze the differentially expressed genes were collected and analyzed with GEO2R, a GEO database online tool. P<0.05 and |logFC|> 2 were set as filter criteria. The ggplot2 of R package was applied for GO enrichment analysis, and the KEGG pathway analysis was completed with Enrichr. Gene set enrichment analysis (GSEA) was performed via GSEA 3.0 to analyze the correlation between gene sets and phenotypes. Secondly, the STRING database was used to analyze the interaction relationships between differentially expressed proteins in different tissues, and then Cytoscape and related plug-ins were used to establish the differentially expressed protein interaction network and screen the hub genes. Meanwhile, the key modules, important biological processes, and multiple co-expression relationships were analyzed. Results:A total of 255 differentially expressed genes based on the above screening conditions were obtained. The regulation of neural development screened by GO enrichment analysis, the PI3K-Akt signaling pathway screened by KEGG enrichment analysis, the important biological pathways (DNA replication, cell cycle, cytokine and receptor interaction) screened by GSEA enrichment analysis, and the positive regulation of osteoblast differentiation screened by ClueGO analysis, might be closely related to the etiology of non-syndromic craniosynostosis. The up-regulated hub genes such as CLEC12A, MS4A3 and DNTT in the group with closed sutures were screened by protein-protein interaction network and literature analysis, which might play a vital role in the pathogenic processes of non-syndromic craniosynostosis.Conclusions:With the multi-dimensional enrichment analysis of the differentially expressed genes and the establishment of protein interaction networks, we have deepened our understanding of differentially expressed genes, important biological processes and signaling pathways involved in the pathogenesis of non-syndromic craniosynostosis. The selected hub genes may become early diagnostic markers and potential molecular therapeutic targets.

Objective:The differentially expressed genes were screened from microarray data in the patients with non-syndromic craniosynostosis, and a protein interaction network was established to screen and predict hub genes related to the disease.Methods:The data set of GSE50796 were downloaded from the GEO database, which included seven samples of the closed cranial suture tissues from the non-syndromic craniosynostosis patients, and seven samples of the unclosed cranial suture tissues from the non-syndromic craniosynostosis patients. Analyze the differentially expressed genes were collected and analyzed with GEO2R, a GEO database online tool. P<0.05 and |logFC|> 2 were set as filter criteria. The ggplot2 of R package was applied for GO enrichment analysis, and the KEGG pathway analysis was completed with Enrichr. Gene set enrichment analysis (GSEA) was performed via GSEA 3.0 to analyze the correlation between gene sets and phenotypes. Secondly, the STRING database was used to analyze the interaction relationships between differentially expressed proteins in different tissues, and then Cytoscape and related plug-ins were used to establish the differentially expressed protein interaction network and screen the hub genes. Meanwhile, the key modules, important biological processes, and multiple co-expression relationships were analyzed. Results:A total of 255 differentially expressed genes based on the above screening conditions were obtained. The regulation of neural development screened by GO enrichment analysis, the PI3K-Akt signaling pathway screened by KEGG enrichment analysis, the important biological pathways (DNA replication, cell cycle, cytokine and receptor interaction) screened by GSEA enrichment analysis, and the positive regulation of osteoblast differentiation screened by ClueGO analysis, might be closely related to the etiology of non-syndromic craniosynostosis. The up-regulated hub genes such as CLEC12A, MS4A3 and DNTT in the group with closed sutures were screened by protein-protein interaction network and literature analysis, which might play a vital role in the pathogenic processes of non-syndromic craniosynostosis.Conclusions:With the multi-dimensional enrichment analysis of the differentially expressed genes and the establishment of protein interaction networks, we have deepened our understanding of differentially expressed genes, important biological processes and signaling pathways involved in the pathogenesis of non-syndromic craniosynostosis. The selected hub genes may become early diagnostic markers and potential molecular therapeutic targets.

Objective To investigate the molecular mechanism of taurine regulating the polarization of M2 macrophages by mitophagy. Methods THP-1 cells were divided into four groups: M0 group (THP-1 cells were treated by 100 nmol/L phorbol myristate ester for 48 hours to polarize into M0), M2 group (THP-1 cells were induced to polarize into M2 macrophages by 20 ng/mL interferon-4 (IL-4) for 48 hours), M2 combined with taurine groups (added with 40 or 80 mmol/L taurine on the basis of M2 macrophages). The mRNA expression of mannose receptor C type 1(MRC-1), C-C motif chemokine ligand 22(CCL22) and dendritic cell-specific ICAM-3 grabbing non-integrin (CD209) in M2 macrophages were detected by quantitative real-time PCR. Mitochondrial and lysosome probes were used to detect the number of mitochondria and lysosomes by multifunction microplate reader and confocal laser scanning microscope. The level of mitochondrial membrane potential (MMP) was detected by JC-1 MMP assay kit. The expression of mitophagy-related proteins PTEN-induced putative kinase 1 (PINK1) and microtubule-associated protein 1 light chain 3 (LC3) were detected by Western blot analysis. Results Compared with M0 group, the expression of MRC-1, CCL22, CD209 and PINK1, the number of mitochondria and the level of MMP in M2 group were significantly increased, whereas the number of lysosomes and LC3II/LC3I ratio were decreased. Compared with M2 group, the expressions of MRC-1, CCL22 and CD209, the number of mitochondria and the level of MMP in M2 combined with taurine group dropped significantly while the number of lysosomes was found increased, and the protein expression of PINK1 and LC3II/LC3I ratio were also increased. Conclusions The polarization of M2 macrophages is regulated by taurine to prevent excessive polarization via reducing the level of MMP, improving the level of mitophagy, reducing the number of mitochondria, and inhibiting the mRNA expression of polarization markers in M2 macrophages.
Mitophagy ; Taurine ; Macrophages/metabolism* ; Protein Kinases/metabolism* ; RNA, Messenger