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Biology subjects

Porta, A.

Publications and source records attributed to Porta, A..

2 recordsLinked to original sources

Glycan-coated nanoparticles mimicking the ischemic glycocalyx scavenge the complement system conferring protection after experimental ischemic stroke

Glycoproteins lining the luminal endothelial surface form the glycocalyx, composing the tripartite blood brain barrier. We explored the glycocalyx as a source of danger signals for complement lectin pathway after ischemic stroke. Our data indicate that hypoxic microvascular cells increased -D-mannosyl and N-acetylglucosaminyl exposure after re-oxygenation, favoring mannose binding lectin (MBL) pathogenic deposition, and overexpression of inflammatory genes (ICAM-1 and MMP-2). The hypoxia-conditioned medium induced neuronal damage (reduced MAP-2), microglia and astrocytic reactivity (increased/thickened ramifications) when applied to induced pluripotent stem cell-derived neurons, astrocytes and microglia co-cultures. All these effects were counteracted by mannose-capped gold nanoparticles (Man-GNPs), shown to bind and sequester MBL from the medium. We then tested the Man-GNPs in vivo, in an ischemic stroke model using humanized mice, knocked-in for human MBL. The ischemic mice (males:females 1:1) treated with Man-GNPs (3h after the ischemic onset) exhibited less anxiety at the elevated plus maze and reduced neuronal loss at 8d after ischemia compared to vehicle-treated. Thus, multivalent Man-GNPs represent a promising approach to take MBL away from its glycoproteic targets on the ischemic endothelium, hence preventing downstream pathogenesis. Moreover, these data support circulating MBL as a druggable pharmacological target to prevent the thrombo-inflammatory events following acute brain injury.

neuroscience↗

Information Decomposition in the Frequency Domain: a New Framework to Study Cardiovascular and Cardiorespiratory Oscillations

While cross-spectral and information-theoretic approaches are widely used for the multivariate analysis of physiological time series, their combined utilization is far less developed in the literature. This study introduces a framework for the spectral decomposition of multivariate information measures, which provides frequency-specific quantifications of the information shared between a target and two source time series and of its expansion into amounts related to how the sources contribute to the target dynamics with unique, redundant and synergistic information. The framework is illustrated in simulations of linearly interacting stochastic processes, showing how it allows to retrieve amounts of information shared by the processes within specific frequency bands which are otherwise not detectable by time-domain information measures, as well as coupling features which are not detectable by spectral measures. Then, it is applied to the time series of heart period, systolic and diastolic arterial pressure and respiration variability measured in healthy subjects monitored in the resting supine position and during head-up tilt. We show that the spectral measures of unique, redundant and synergistic information shared by these variability series, integrated within specific frequency bands of physiological interest, reflect the mechanisms of short term regulation of cardiovascular and cardiorespiratory oscillations and their alterations induced by the postural stress.

bioengineering↗