Plasma essential fatty acid on hospital admission is a marker of COVID-19 disease severity.

It is important for allocation of resources to predict those COVID patients at high risk of dying or organ failure. Early signals to initiate cellular events of host immunity can be derived from essential fatty acid metabolites preceding the cascade of proinflammatory signals. Much research has focused on understanding later proinflammatory responses. We assessed if remodelling of plasma phospholipid content of essential fatty acids by the COVID-19 virus provides early markers for potential death and disease severity. Here we show that, at hospital admission, COVID-19 infected subjects who survive exhibit higher proportions of C20:4n-6 in plasma phospholipids concurrent with marked proinflammatory cytokine elevation in plasma compared to healthy subjects. In contrast, more than half of subjects who die of this virus exhibit very low C18:2n-6 and C20:4n-6 content in plasma phospholipids on hospital admission compared with healthy control subjects. Moreover, in these subjects who die, the low level of primary inflammatory signals indicates limited or aberrant stimulation of host immunity. We conclude that COVID-19 infection results in early fundamental remodelling of essential fatty acid metabolism. In subjects with high mortality, it appears that plasma n-6 fatty acid content is too low to stimulate cellular events of host immunity.

Rationally designed peptides for controlled release of nerve growth factor from fibrin matrices.

The purpose of this research was to identify peptide sequences with varying affinity for nerve growth factor (NGF) and use them in the rational design of affinity-based drug delivery systems. A phage display library (12 amino acid random peptide sequence) was screened against NGF-conjugated chromatography resin three times and fractions containing phage of varying affinity were eluted by decreasing the pH of the eluent. These phages were isolated, amplified; then their DNA was purified and sequenced to determine the identity of the random peptide domain. Consensus peptides based on these sequences were synthesized and screened for their ability to bind NGF and release it at different rates from fibrin matrices. The ability of fibrin matrices containing these peptides and NGF to deliver to biologically active NGF was tested using a chick dorsal root ganglia model. A mathematical model was developed to further understand how the affinity of a peptide can modulate release of NGF and to aid in design optimization for the delivery system. The peptides identified in this study were determined to have varying affinities for NGF suggesting that this approach can serve as a model for tailoring the affinity of a drug delivery system for a target protein drug.