Our results suggest that admission serum BDNF and NSE levels are associated with the occurrence of delirium in ICU patients.

The findings of our study suggest that the CAM-ICU is better predictor of outcome when compared with ICDSC.

Objective: To evaluate the relationship between brain damage biomarkers and mortality in the intensive care unit (ICU). Methods: The sample comprised 70 patients admitted to an ICU. Blood samples were collected from all patients on ICU admission, and levels of S100b and neuron-specific enolase (NSE) were determined by ELISA. Results: Acute Physiologic and Chronic Health Evaluation (APACHE II) score was associated with mortality, but NSE and S100b were not associated with this outcome. In contrast, S100b levels were significantly higher in delirious and non-delirious patients who required mechanical ventilation during ICU stay. Conclusion: Levels of brain biomarkers at the time of ICU admission did not predict mortality in critically ill patients.

Long non-coding RNAs are nucleotide molecules that regulate transcription in numerous cellular processes and are related to the occurrence of many diseases, including cancer. In this regard, we recently discovered a polyadenylated long non-coding RNA (named TG2-lncRNA) encoded within the first intron of the Transglutaminase type 2 gene (TGM2), which is related to tumour proliferation in human cancer cell lines. To better characterize this new biological player, we investigated the effects of its suppression in MCF-7 breast cancer cells, using siRNA treatment and RNA-sequencing. In this way, we found modifications in several networks associated to biological functions relevant for tumorigenesis (apoptosis, chronic inflammation, angiogenesis, immunomodulation, cell mobility, and epithelial–mesenchymal transition) that were originally attributed only to Transglutaminase type 2 protein but that could be regulated also by TG2-lncRNA. Moreover, our experiments strongly suggest the ability of TG2-lncRNA to directly interact with important transcription factors, such as RXRα and TP53, paving the way for several regulatory loops that can potentially influence the phenotypic behaviour of MCF-7 cells. These considerations imply the need to further investigate the relative relevance of the TG2 protein itself and/or other gene products as key regulators in the organization of breast cancer program.