Neural and endothelial nitric oxide synthase activity in rat penile erectile tissue

NADPH-diaphorase (NADPH-D) activity and immunoreactivity for neural and endothelial nitric oxide synthase (nNOS and eNOS, respectively) were used to investigate nitric oxide (NO) regulation of penile vasculature. Both the histochemical and immunohistochemical techniques for NOS showed that all smooth muscles regions of the penis (dorsal penile artery and vein, deep penile vessels, and cavernosal muscles) were richly innervated. The endothelium of penile arteries, deep dorsal penile vein, and select veins in the crura and shaft were also stained for NADPH-D and eNOS. However, the endothelium of cavernous sinuses was unstained by both techniques. Fewer fibers were seen in the glans penis, those present being associated with small blood vessels and large nerve bundles near the trabecular walls. All penile neurons in the pelvic plexus, located by retrograde transport of a dye placed in the corpora cavernosa penis, were stained by the NADPH-D method. Essentially similar results were obtained with an antibody to nNOS. These data suggest that penile parasympathetic neurons comprise a uniform population, as all seem capable of forming nitric oxide. However, in contrast to the endothelium of penile vessels, the endothelium lining the cavernosal spaces may not be capable of nitric oxide synthesis.     

Characterization of proteolipid protein fatty acylesterase from rat brain myelin.

A protein fatty acylesterase activity that catalyzes the removal of fatty acid from exogenous proteolipid protein (PLP) has been demonstrated in isolated rat brain myelin. Optimum enzyme activity for the deacylation of PLP was obtained in 0.5% Triton X-100, 1 mM dithiothreitol at pH 7.0 and at 37 degrees C. Other detergents (octyl beta-D-glucoside, Nonidet P-40, and Tween 20) have little or no effect, whereas deacylation was completely abolished by 0.1% sodium dodecyl sulfate or boiling the membrane fraction for 5 min prior to incubation. Under optimal conditions, the rate of deacylation was linear up to 20 min, and the apparent Km for bovine [3H]palmitoyl-PLP was 18 microM. The myelin-associated PLP fatty acylesterase has no apparent requirements for divalent cations (Ca2+, Mg2+, Mn2+), and chelators such as EDTA, [ethylenebis(oxyethylenenitrilo)] tetraacetic acid, and 1,10-phenantroline have little or no effect on enzyme activity. Sulfhydryl and histidine residues are needed for full enzyme activity, whereas the "active serine"-directed inhibitor phenylmethylsulfonyl fluoride has no effect. The myelin-associated protein fatty acylesterase was present throughout brain development and in all myelin subfractions, in agreement with the dynamic metabolism of PLP-bound fatty acids. Enzyme activity was also present in sciatic nerve, brain cortex, and heart whereas liver was devoid of activity. Several esterases, including phospholipase A2, glyoxalase II, and acetylcholinesterase, did not remove fatty acid from PLP. Myelin basic protein, palmitoyl-CoA hydrolase, and myelin-associated nonspecific esterase were also ruled out as the PLP fatty acylesterase. Thus, all data seem to indicate that this enzyme is different from esterases of the lipid metabolism. Finally, stimulation of protein phosphorylation with Ca2+, but not with cyclic-AMP, inhibited PLP deacylation, suggesting that the myelin-associated protein fatty acylesterase activity is regulated by endogenous Ca(2+)-dependent protein kinases.     

Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection

A key question in SARS-CoV-2 infection is why viral loads and patient outcomes vary dramatically across individuals. Because spatial-temporal dynamics of viral spread and immune response are challenging to study in vivo, we developed Spatial Immune Model of Coronavirus (SIMCoV), a scalable computational model that simulates hundreds of millions of lung cells, including respiratory epithelial cells and T cells. SIMCoV replicates viral growth dynamics observed in patients and shows how spatially dispersed infections can lead to increased viral loads. The model also shows how the timing and strength of the T cell response can affect viral persistence, oscillations, and control. By incorporating spatial interactions, SIMCoV provides a parsimonious explanation for the dramatically different viral load trajectories among patients by varying only the number of initial sites of infection and the magnitude and timing of the T cell immune response. When the branching airway structure of the lung is explicitly represented, we find that virus spreads faster than in a 2D layer of epithelial cells, but much more slowly than in an undifferentiated 3D grid or in a well-mixed differential equation model. These results illustrate how realistic, spatially explicit computational models can improve understanding of within-host dynamics of SARS-CoV-2 infection.