Cytosolic nucleic acid sensing and mitochondrial transcriptomic changes as early triggers of metabolic disease in db/db mice.

Animal models of diabetes, such as db/db mice, are a useful tool for deciphering the genetic background of molecular changes at the initial stages of disease development. Our goal was to find early transcriptomic changes in three tissues involved in metabolism regulation in db/db mice: adipose tissue, muscle tissue and liver tissue. Nine animals (three per time point) were studied. Tissues were collected at 8, 12 and 16 weeks of age. Transcriptome-wide analysis was performed using mRNA-seq. Libraries were sequenced on NextSeq (Illumina). Differential expression (DE) analysis was performed with edgeR. The analysis of the gene expression profile shared by all three tissues revealed eight upregulated genes (Irf7, Sp100, Neb, Stat2, Oas2, Rtp4, H2-T24 and Oasl2) as early as between 8 and 12 weeks of age. The most pronounced differences were found in liver tissue: nine DE genes between 8 and 12 weeks of age (Irf7, Ly6a, Ly6g6d, H2-Dma, Pld4, Ly86, Fcer1g, Ly6e and Idi1) and five between 12 and 16 weeks of age (Irf7, Plac8, Ifi44, Xaf1 and Ly6a) (adj. p-value < 0.05). The mitochondrial transcriptomic profile also changed with time: we found two downregulated genes in mice between 8 and 12 weeks old (Ckmt2 and Cox6a2) and five DE genes between 12 and 16 weeks of age (Mavs, Tomm40L, Mtfp1, Ckmt2 and Cox6a2). The KEGG pathway analysis showed significant enrichment in pathways related to the autoimmune response and cytosolic DNA sensing. Our results suggest an important involvement of the immunological response, mainly cytosolic nucleic acid sensing, and mitochondrial signalling in the early stages of diabetes and obesity.

Dysregulation of Transcription Factor Activity During Formation of Cancer-Associated Fibroblasts.

The reciprocal interactions between cancer cells and the quiescent fibroblasts leading to the activation of cancer-associated fibroblasts (CAFs) serve an important role in cancer progression. Here, we investigated the activation of transcription factors (TFs) in prostate fibroblasts (WPMY cell line) co-cultured with normal prostate or tumorous cells (RWPE1 and RWPE2 cell lines, respectively). After indirect co-cultures, we performed mRNA-seq and predicted TF activity using mRNA expression profiles with the Systems EPigenomics Inference of Regulatory Activity (SEPIRA) package and the GTEx and mRNA-seq data of 483 cultured fibroblasts. The initial differential expression analysis between time points and experimental conditions showed that co-culture with normal epithelial cells mainly promotes an inflammatory response in fibroblasts, whereas with the cancerous epithelial, it stimulates transformation by changing the expression of the genes associated with microfilaments. TF activity analysis revealed only one positively regulated TF in the RWPE1 co-culture alone, while we observed dysregulation of 45 TFs (7 decreased activity and 38 increased activity) uniquely in co-culture with RWPE2. Pathway analysis showed that these 45 dysregulated TFs in fibroblasts co-cultured with RWPE2 cells may be associated with the RUNX1 and PTEN pathways. Moreover, we showed that observed dysregulation could be associated with FER1L4 expression. We conclude that phenotypic changes in fibroblast responses to co-culturing with cancer epithelium result from orchestrated dysregulation of signaling pathways that favor their transformation and motility rather than proinflammatory status. This dysregulation can be observed both at the TF and transcriptome levels.

Clostridium difficile caused changes in fatty acids profile and resolvin D1 content in plasma of infected patients.

OBJECTIVES: Clostridium difficile infection (CDI) is an acute gastrointestinal infection caused by anaerobic, toxin-producing bacteria. During the course of CDI, there is a general inflammatory state. In order to gain a deeper understanding of the role of fatty acids (FAs) in the pathogenesis of acute infection we analyzed their plasma content in both patients with CDI and controls. METHODS: The study groups included 40 patients with CDI and 40 healthy volunteers. Plasma FA content was analyzed by gas chromatography, resolvin D1 (RvD1) level using ELISA assay, and we assessed the white blood cell (WBC) count, neutrophil count and C-reactive protein (CRP) level. RESULTS: Patients with CDI were characterized by significantly higher values of WBC, neutrophils, platelets and CRP compared with the control group. The saturated FA index was statistically higher and total n-3 FA was significantly decreased in the plasma of CDI patients as compared with the control group. RvD1 content was significantly higher in the control group as compared with patients with CDI. CONCLUSION: In patients with good outcomes, we probably observed the effective resolution of inflammation, as reflected in n-3 FA metabolism and their significant decrease in plasma. This may indicate the therapeutic role of n-3 FA in CDI infection.

Patterns of gene expression characterize T1 and T3 clear cell renal cell carcinoma subtypes.

Renal carcinoma is the 20th most common cancer worldwide. Clear cell renal cell carcinoma is the most frequent type of renal cancer. Even in patients diagnosed at an early stage, characteristics of disease progression remain heterogeneous. Up-to-date molecular classifications stratify the ccRCC samples into two clusters. We analyzed gene expression in 23 T1 or T3 ccRCC samples. Unsupervised clustering divided this group into three clusters, two of them contained pure T1 or T3 samples while one contained a mixed group. We defined a group of 36 genes that discriminate the mixed cluster. This gene set could be associated with tumor classification into a higher stage and it contained significant number of genes coding for molecular transporters, channel and transmembrane proteins. External data from TCGA used to test our findings confirmed that the expression levels of those 36 genes varied significantly between T1 and T3 tumors. In conclusion, we found a clustering pattern of gene expression, informative for heterogeneity among T1 and T3 tumors of clear cell renal cell carcinoma.