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Introduction: Therapeutic interest into the neurotrophins resides in their ability to regulate the process of neuronal and synaptic regeneration following acute brain injuries such as intracerebral hemorrhage, subarachnoid hemorrhage and ischemic stroke. P75 neurotrophic receptor (p75NTR) is an important receptor for the role of neurotrophins in modulating brain plasticity and apoptosis. The current understanding of the role of p75NTR in cellular adaptation following pathological insults remains blurred. Methods: We identified p75NTR and related genes through extensive data mining of a PubMed literature search including published works related to p75NTR from the past 20 years. Bioinformatic network and pathway analyses of identified genes (n=235) were performed using ReactomeFIViz in Cytoscape based on the highly reliable Reactome functional interaction network algorithm. This approach merges interactions extracted from human curated pathways with predicted interactions from machine learning. Results: Genome-wide pathway analysis showed total of 16 enriched hierarchical clusters. A total of 278 enriched single pathways were also identified (pp75NTR gene network. This study provides a comprehensive analysis and investigation into the current knowledge of p75NTR signaling networks and pathways. Discussion: This study provides the largest comprehensive gene and functional network library of p75NTR and incorporates current knowledge using a large dataset approach that increases the overall understanding of complex p75NTR networks. These results suggest both new possible target genes for further investigation in p75NTR research, while also validating previously conducted research. These results can be used to generate novel hypotheses to gain a greater understanding of p75NTR in stroke. Future directions: We are currently sequencing miRNA libraries from ischemic and hemorrhagic stroke patients’ plasma with longitudinal plasma samples and clinical data. This data together with presented results will be used to test identified novel targets in p75NTR engineered models in order seek novel therapeutic strategies to increase recovery after stroke.

The aim of this study was to describe the demography and epidemiology of Finnish patients with TBI and to analyse the representativeness of a study sample.This prospective multi-centre study was conducted as part of an international collaboration within the EU-funded TBIcare project. The study group was recruited from patients attending the regional emergency department (ED) of the Turku University Hospital, Finland. Pre-defined exclusion criteria included age18 years, more than 2 weeks from the injury and uncertain diagnosis of TBI. To be included, a need for an acute head CT (NICE-criteria) was required.Of the 620 patients with TBI or suspected TBI, 203 patients were recruited to the study. Falls were the most common injury mechanism. The study group included more males than the total eligible population (p = 0.011), but no other statistical differences were found. The most common cause for being excluded was lack of information available to the research group before discharge (34%).This study supports previous findings that falls are the most common injury mechanism in the Western countries. Uncertainty about the diagnosis of TBI, lack of representativeness without continuous recruitment and poor information transfer about the ED attendees are major challenges for prospective TBI studies.