Upregulation of circRNA_0023685 promotes gastric cancer progression via a circRNA-miRNA-mRNA interaction network.

Circular RNAs (circRNAs) have been extensively studied for their critical roles as noncoding RNAs (ncRNAs) in gastric cancer (GC). In this study, we focused on the expression, function and molecular mechanism of circRNA_0023685 in gastric cancer (GC) to provide new ways for the diagnosis and treatment of GC. Firstly, a novel differentially expressed circRNA, circRNA_0023685, was identified, and its differential expression in GC plasma, tissue, and cell lines was further verified by RT-qPCR. Next, circRNA_0023685 was verified to promote the proliferation, migration and apoptosis of GC cells in vitro. CircRNA_0023685 was also proved to enhance the growth of GC tumors in xenograft models. Finally, for excavating the mechanism to promote GC, downstream microRNAs (miRNAs) and mRNAs were screened by bioinformatics analyses. After intersecting the target genes and genes enriched in GO analysis, a circRNA competing endogenous RNAs (ceRNAs) network was built. A protein-protein interaction (PPI) network was then constructed to find the candidate gene, APP. Our study confirmed that the highly expressed circRNA_0023685 could promote GC, which provided a new clinical diagnostic biomarker and therapeutic target for GC.

Prognostic value of fatty acid metabolism-related genes in colorectal cancer and their potential implications for immunotherapy.

Introduction: Colorectal cancer is one of the most common gastrointestinal cancers and the second leading cause of cancer-related death. Although colonoscopy screening has greatly improved the early diagnosis of colorectal cancer, its recurrence and metastasis are still significant problems. Tumour cells usually have the hallmark of metabolic reprogramming, while fatty acids play important roles in energy storage, cell membrane synthesis, and signal transduction. Many pathways of fatty acid metabolism (FAM) are involved in the occurrence and development of colon cancer, and the complex molecular interaction network contains a variety of genes encoding key enzymes and related products. Methods: Clinical information and RNA sequencing data were collected from TCGA and GEO databases. The prognosis model of colon cancer was constructed by LASSO-Cox regression analysis among the selected fatty acid metabolism genes with differential expression. Nomogram for the prognosis model was also constructed in order to analyze its value in evaluating the survival and clinical stage of the colon cancer patients. The differential expression of the selected genes was verified by qPCR and immunohistochemistry. GSEA and GSVA were used to analyze the enrichment pathways for high- and low-risk groups. CIBERSORT was used to analyze the immune microenvironment of colon cancer and to compare the infiltration of immune cells in the high- and low-risk groups. The "circlize" package was used to explore the correlation between the risk score signature and immunotherapy for colon cancer. Results: We analysed the differential expression of 704 FAM-related genes between colon tumour and normal tissue and screened 10 genes with prognostic value. Subsequently, we constructed a prognostic model for colon cancer based on eight optimal FAM genes through LASSO Cox regression analysis in the TCGA-COAD dataset, and its practicality was validated in the GSE39582 dataset. Moreover, the risk score calculated based on the prognostic model was validated as an independent prognostic factor for colon cancer patients. We further constructed a nomogram composed of the risk score signature, age and American Joint Committee on Cancer (AJCC) stage for clinical application. The colon cancer cohort was divided into high- and low-risk groups according to the optimal cut-off value, and different enrichment pathways and immune microenvironments were depicted in the groups. Discussion: Since the risk score signature was significantly correlated with the expression of immune checkpoint molecules, the prognostic model might be able to predict the immunotherapy response of colon cancer patients. In summary, our findings expand the prognostic value of FAM-related genes in colon cancer and provide evidence for their application in guiding immunotherapy.

Intestinal fatty acid binding protein: A rising therapeutic target in lipid metabolism.

Fatty acid binding proteins (FABPs) are key proteins in lipid transport, and the isoforms are segregated according to their tissue origins. Several isoforms, such as adipose-FABP and epidermal-FABP, have been shown to participate in multiple pathologic processes due to their ubiquitous expression. Intestinal fatty acid binding protein, also termed FABP2 or I-FABP, is specifically expressed in the small intestine. FABP2 can traffic lipids from the intestinal lumen to enterocytes and bind superfluous fatty acids to maintain a steady pool of fatty acids in the epithelium. As a lipid chaperone, FABP2 can also carry lipophilic drugs to facilitate targeted transport. When the integrity of the intestinal epithelium is disrupted, FABP2 is released into the circulation. Thus, it can potentially serve as a clinical biomarker. In this review, we discuss the pivotal role of FABP2 in intestinal lipid metabolism. We also summarize the molecular interactions that have been reported to date, highlighting the clinical prospects of FABP2 research.

Glutamate dehydrogenase enables Salmonella to survive under oxidative stress and escape from clearance in macrophages.

Oxidative stress and the production of reactive oxygen species (ROS) are a biological threat to bacteria, which induce the synthesis of proteins and production of antioxidants to combat it. Herein, we report that glutamate dehydrogenase (GDH) of Salmonella can assimilate ammonium into glutamate and promote the generation of glutathione (GSH) to combat oxidative damage. Oxidation induces the transcription of gdhA, which encodes GDH, and activates the enzymatic activity of GDH. The ΔgdhA mutant Salmonella strain showed decreased levels of GSH and reduced survival in macrophages, and this growth deficiency could be partially restored by overexpression of GDH and complementation with its downstream metabolites. Therefore, GDH plays a critical role in the growth of Salmonella in oxidative environments, especially under low energy supply.