[目的]研究天冬氨酸氨基转移酶/血小板比值指数(APRI)和基于4因子的肝纤维化指数(FIB-4)对判断自身免疫性肝炎(AIH)患者肝纤维化程度的意义,为AIH肝纤维化的早期诊断提供依据.[方法]选取就诊于青岛大学附属医院行肝穿刺活检并诊断为AIH的患者51例,根据肝穿刺病理结果分为F0～F4期共5组,收集研究对象的一般资料、血小板计数(PLT)、谷丙转氨酶(ALT)、谷草转氨酶(AST)等指标,计算APRI、FIB-4.绘制并分析APRI、FIB-4诊断轻度纤维化(≥F1)、显著纤维化(≥F2)、进展期纤维化(≥F3)的受试者工作特征曲线(ROC曲线).[结果]APRI、FIB-4对≥F1缺乏敏感性和特异性;对≥F2的曲线下面积(AUC)分别为0.688、0.809,敏感性分别为58.3％、75.0％,特异性均为74.1％;对≥F3的AUC分别为0.753、0.865,敏感性分别为64.3％、78.6％,特异性分别为81.1％、89.2％.[结论]APRI、FIB-4对≥F1无明确的诊断价值,而对于≥F2及≥F3均有诊断价值,其中FIB-4的诊断效能优于APRI,且二者对于进展期纤维化的诊断效能更高.

Oral squamous cell carcinoma (OSCC) is one of the most common types of malignancies worldwide, and its morbidity and mortality have increased in the near term. Consequently, the purpose of the present study was to identify the notable differentially expressed genes (DEGs) involved in their pathogenesis to obtain new biomarkers or potential therapeutic targets for OSCC. The gene expression profiles of the microarray datasets GSE85195, GSE23558, and GSE10121 were obtained from the Gene Expression Omnibus (GEO) database. After screening the DEGs in each GEO dataset, 249 DEGs in OSCC tissues were obtained. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology pathway enrichment analysis was employed to explore the biological functions and pathways of the above DEGs. A protein-protein interaction network was constructed to obtain a central gene. The corresponding total survival information was analyzed in patients with oral cancer from The Cancer Genome Atlas (TCGA). A total of six candidate genes (CXCL10, OAS2, IFIT1, CCL5, LRRK2, and PLAUR) closely related to the survival rate of patients with oral cancer were identified, and expression verification and overall survival analysis of six genes were performed based on TCGA database. Time-dependent receiver operating characteristic curve analysis yields predictive accuracy of the patient's overall survival. At the same time, the six genes were further verified by quantitative real-time polymerase chain reaction using samples obtained from the patients recruited to the present study. In conclusion, the present study identified the prognostic signature of six genes in OSCC for the first time via comprehensive bioinformatics analysis, which could become potential prognostic markers for OCSS and may provide potential therapeutic targets for tumors.

目的 探讨不同剂量维生素D(本实验采用VD3)对溃疡性结肠炎(ulcerative colitis,UC)小鼠结肠β-防御素-2的表达及意义.方法 建立C57BL/6小鼠UC模型,并分别给予不同浓度VD3干预,疾病活动指数(DAI)、组织学评分、免疫组化检测小鼠结肠黏膜中β-防御素-2表达.结果 高、低剂量VD3干预组DAI、组织学炎症、β-防御素-2表达明显低于UC组(P＜0.05),高、低剂量VD3组比较差异有统计学意义(P＜0.05),小鼠组间炎症同β-防御素-2表达具有相关性(P＜0.05).结论 维生素D对DSS诱导的急性UC小鼠具有一定的缓解作用,并存在剂量效应关系.

Purpose: The rapidly rising incidence of esophageal adenocarcinoma (EAC), which is usually diagnosed late with a poor prognosis, has become a growing problem. This study investigated the potential transcription factor (TF)-related molecular mechanisms of EAC by using bioinformatics analysis and qRT-PCR validation. Methods: Expression profile datasets for mRNAs (GSE92396, GSE13898, GSE26886 and GSE1420) and miRNAs (GSE16456) were downloaded from the GEO database. Overlapping differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were identified through integrative analysis. Then, a TF-miRNA-mRNA network was constructed based on bioinformatics data from the TRRUST, TRED and miRTarBase database. Furthermore, overall survival analysis for the mRNAs and miRNAs in the TF-miRNA-mRNA network was performed with data from TCGA, and qRT-PCR was used to validate the results. Results: A total of 294 overlapping DEGs were identified in EAC tissues compared to normal tissues, including 181 downregulated and 113 upregulated genes. Then, 16 TFs that could target the DEGs and were related to cancer were predicted based on public databases, and 41 DEGs that could be targeted were identified as key genes. Additionally, 12 DEMs were predicted through miRTarBase to be associated with the key genes, and TP53-(miR-125b)-ID2 and JUN-(miR-30a)-IL1A from the TF-miRNA-mRNA network were identified to potentially play significant roles in EAC. Furthermore, CCL20, IL1A, ABCC3, hsa-miR-23b, and hsa-miR-191, which are involved in the TF-miRNA-mRNA network, were found to be significantly associated with patient survival in EAC. Finally, the expression of a miRNA-mRNA pair (hsa-miR-30a-5p and IL1A) was revealed to be correlated with prognosis. Conclusion: In this study, a TF-miRNA-mRNA network was constructed to analyze the potential molecular mechanisms of EAC. Key genes and miRNAs associated with patient survival were identified, which may reveal promising approaches for EAC diagnosis and therapy.

BACKGROUND:Aberrant DNA methylations are significantly associated with esophageal squamous cell carcinoma (ESCC). In this study, we aimed to investigate the DNA methylation-driven genes in ESCC by integrative bioinformatics analysis.METHODS:Data of DNA methylation and transcriptome profiling were downloaded from TCGA database. DNA methylation-driven genes were obtained by methylmix R package. David database and ConsensusPathDB were used to perform gene ontology (GO) analysis and pathway analysis, respectively. Survival R package was used to analyze overall survival analysis of methylation-driven genes.RESULTS:Totally 26 DNA methylation-driven genes were identified by the methylmix, which were enriched in molecular function of DNA binding and transcription factor activity. Then, ABCD1, SLC5A10, SPIN3, ZNF69, and ZNF608 were recognized as significant independent prognostic biomarkers from 26 methylation-driven genes. Additionally, a further integrative survival analysis, which combined methylation and gene expression data, was identified that ABCD1, CCDC8, FBXO17 were significantly associated with patients' survival. Also, multiple aberrant methylation sites were found to be correlated with gene expression.CONCLUSION:In summary, we studied the DNA methylation-driven genes in ESCC by bioinformatics analysis, offering better understand of molecular mechanisms of ESCC and providing potential biomarkers precision treatment and prognosis detection.