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Bruno, O.

Publications and source records attributed to Bruno, O..

2 recordsLinked to original sources

Amelioration of Functional and Histopathological Consequences after Spinal Cord Injury through Phosphodiesterase 4D (PDE4D) Inhibition

Spinal cord injury (SCI) is a life-changing event that severely impacts the patients quality of life. Two key strategies are currently being considered to improve clinical outcomes after SCI: modulation of the neuroinflammatory response, which exacerbates the primary injury, and stimulation of neuro-regenerative repair mechanisms to improve functional recovery. Cyclic adenosine monophosphate (cAMP) is a second messenger crucially involved in both processes. Following SCI, intracellular levels of cAMP are known to decrease over time. Therefore, preventing cAMP degradation represents a promising strategy to suppress inflammation while stimulating regeneration. Intracellular cAMP levels are controlled by its hydrolyzing enzymes phosphodiesterases (PDEs). The PDE4 family is most abundantly expressed in the central nervous system (CNS) and its inhibition has been shown to be therapeutically relevant for managing SCI pathology. Unfortunately, the use of full PDE4 inhibitors at therapeutic doses is associated with severe emetic side effects, hampering their translation toward clinical applications. Therefore, in this study, we evaluated the effect of inhibiting specific PDE4 subtypes (PDE4B and PDE4D) on inflammatory and regenerative processes following SCI, as inhibitors selective for these subtypes have been demonstrated to be well-tolerated. We reveal that administration of the PDE4D inhibitor Gebr32a, but not the PDE4B inhibitor A33, improved functional as well as histopathological outcomes after SCI, comparable to results obtained with the full PDE4 inhibitor roflumilast. Furthermore, using a luminescent human iPSC-derived neurospheroid model, we show that PDE4D inhibition stabilizes neural viability by preventing apoptosis and stimulating neuronal differentiation. These findings strongly suggest that specific PDE4D inhibition offers a novel therapeutic approach for SCI.

neuroscience↗

Application of Coincidence Index in the Discovery of Co-Expressed Metabolic Pathways

Analyzing transcription data requires intensive statistical analysis in order to obtain useful biological information and knowledge. A significant portion of this data is affected by random noise or even noise intrinsic to the modeling of the experiment. Without a robust treatment, the data might not be very thoroughly explored and even incorrect conclusions could be drawn. Examining the correlation between gene expression profiles is one of the ways bioinformaticians extract information from transcriptomic experiments. However, the correlation measurements traditionally used have worrisome shortcomings that need to be addressed. This paper compares the two most common correlation measurements, Pearsons r and Spearmans r, to the newly developed coincidence index, a similarity measurement that combines Jaccard and interiority indexes and generalizes them to be applied to vectors containing real values. We used experimental data from a microarray experiment from the archaeon Halobacterium salinarum that evaluates the effects on the organism when exposed to light in an anaerobic environment. The utilized method explores the co-expressed metabolic pathways by measuring the correlations between enzymes that share metabolites and searches for local maxima using a simulated annealing algorithm. We demonstrate that the coincidence index extracts larger, more comprehensive, and more statistically significant pathways than the traditional Pearsons and Spearmans measurements.

systems biology↗