Paracellular permeability is increased by basal lipopolysaccharide in a primary culture of colonic epithelial cells; an effect prevented by an activator of Toll-like receptor-2

Lipopolysaccharide (LPS), which generally activates Toll-like receptor 4 (TLR4), is expressed on commensal colonic bacteria. In a number of tissues, LPS can act directly on epithelial cells to increase paracellular permeability. Such an effect in the colon would have an important impact on the understanding of normal homeostasis and of pathology. Our aim was to use a novel primary culture of colonic epithelial cells grown on Transwells to investigate whether LPS, or Pam(3)CSK( 4), an activator of TLR2, affected paracellular permeability. Consequently, [(14)C]-mannitol transfer and transepithelial electrical resistance (TEER) were measured. The preparation consisted primarily of cytokeratin-18 positive epithelial cells that produced superoxide, stained for mucus with periodic acid-Schiff reagent, exhibited alkaline phosphatase activity and expressed TLR2 and TLR4. Tight junctions and desmosomes were visible by transmission electron microscopy. Basally, but not apically, applied LPS from Escherichia coli increased the permeability to mannitol and to a 10-kDa dextran, and reduced TEER. The LPS from Helicobacter pylori increased paracellular permeability of gastric cells when applied either apically or basally, in contrast to colon cells, where this LPS was active only from the basal aspect. A pan-caspase inhibitor prevented the increase in caspase activity caused by basal E. coli LPS, and reduced the effects of LPS on paracellular permeability. Synthetic Pam(3)CSK(4) in the basal compartment prevented all effects of basal E. coli LPS. In conclusion, LPS applied to the base of the colonic epithelial cells increased paracellular permeability by a mechanism involving caspase activation, suggesting a process by which perturbation of the gut barrier could be exacerbated. Moreover, activation of TLR2 ameliorated such effects.

Oxidized phospholipid inhibition of toll-like receptor (TLR) signaling is restricted to TLR2 and TLR4 roles for cd14, lps-binding protein, and md2 as targets for specificity of inhibition

The generation of reactive oxygen species is a central feature of inflammation that results in the oxidation of host phospholipids. Oxidized phospholipids, such as 1-palmitoyl-2-arachidonyl-sn-glycero-3-phosphorylcholine (OxPAPC), have been shown to inhibit signaling induced by bacterial lipopeptide or lipopolysac-charide (LPS), yet the mechanisms responsible for the inhibition of Toll-like receptor (TLR) signaling by OxPAPC remain incompletely understood. Here, we examined the mechanisms by which OxPAPC inhibits TLR signaling induced by diverse ligands in macrophages, smooth muscle cells, and epithelial cells. OxPAPC inhibited tumor necrosis factor- production, IB degradation, p38 MAPK phosphorylation, and NF-B-dependent reporter activation induced by stimulants of TLR2 and TLR4 (Pam3CSK4 and LPS) but not by stimulants of other TLRs (poly(I·C), flagellin, loxoribine, single-stranded RNA, or CpG DNA) in macrophages and HEK-293 cells transfected with respective TLRs and significantly reduced inflammatory responses in mice injected subcutaneously or intraperitoneally with Pam3CSK4. Serum proteins, including CD14 and LPS-binding protein, were identified as key targets for the specificity of TLR inhibition as supplementation with excess serum or recombinant CD14 or LBP reversed TLR2 inhibition by OxPAPC, whereas serum accessory proteins or expression of membrane CD14 potentiated signaling via TLR2 and TLR4 but not other TLRs. Binding experiments and functional assays identified MD2 as a novel additional target of OxPAPC inhibition of LPS signaling. Synthetic phospholipid oxidation products 1-palmitoyl-2-(5-oxovaleryl)-sn-glycero-3-phosphocholine and 1-palmitoyl-2-glutaryl-sn-glycero-3-phosphocholine inhibited TLR2 signaling from 30 µM. Taken together, these results suggest that oxidized phospholipid-mediated inhibition of TLR signaling occurs mainly by competitive interaction with accessory proteins that interact directly with bacterial lipids to promote signaling via TLR2 or TLR4.

25-hydroxycholesterol, 7β-hydroxycholesterol and 7-ketocholesterol upregulate interleukin-8 expression independently of Toll-like receptor 1, 2, 4 or 6 signalling in human macrophages

Recent studies have shown that Toll-like receptor (TLR)- signalling contributes significantly to the inflammatory events of atherosclerosis. As products of cholesterol oxidation (oxysterols) accumulate within atherosclerotic plaque and have been proposed to contribute to inflammatory signalling in the diseased artery, we investigated the potential of 7-ketocholesterol (7-KC), 7β-hydroxycholesterol (7β-HC) and 25-hydroxycholesterol (25-HC) to stimulate inflammatory signalling via the lipid-recognising TLRs 1, 2, 4 and 6. Each oxysterol stimulated secretion of the inflammatory chemokine interleukin-8 (IL-8), but not I?B degradation or tumour necrosis factor- release from monocytic THP-1 cells. Transfection of TLR-deficient HEK-293 cells with TLRs 1, 2, 4 or 6 did not increase sensitivity to the tested oxysterols. Moreover, blockade of TLR2 or TLR4 with specific inhibitors did not reduce 25-hydroxycholesterol (25-HC) induced IL-8 release from THP-1 cells. We conclude that although the oxysterols examined in this study may contribute to increased expression of certain inflammatory genes, this occurs by mechanisms independent of TLR signalling.

Oxidised phospholipid regulation of toll-like receptor signalling

Toll-like receptors (TLRs) serve to initiate inflammatory signalling in response to the detection of conserved microbial molecules or products of host tissue damage. Recent evidence suggests that TLR-signalling plays a considerable role in a number of inflammatory diseases, including atherosclerosis and arthritis. Agents which modulate TLR-signalling are, therefore, receiving interest in terms of their potential to modify inflammatory disease processes. One such family of molecules, the oxidised phospholipids (OxPLs), which are formed as a result of inflammatory events and accumulate at sites of chronic inflammation, have been shown to modulate TLR-signalling in both in vitro and in vivo systems. As the interaction between OxPLs and TLRs may play a significant role in chronic inflammatory disease processes, consideration is given in this review to the potential role of OxPLs in the regulation of TLR-signalling.

Non-enterobacterial endotoxins stimulate human coronary artery but not venous endothelial cell activation via toll-like receptor 2

To determine whether non-enterobacterial endotoxins, which are likely to constitute the majority of the circulating endotoxin pool, may stimulate coronary artery endothelial cell activation. Interleukin-8 secretion, monocyte adhesion, and E-selectin expression were measured in human umbilical vein endothelial cells (HUVECs) and coronary artery endothelial cells (HCAECs) challenged in vitro with highly purified endotoxins of common host colonisers Escherichia coli, Porphyromonas gingivalis, Pseudomonas aeruginosa, and Bacteroides fragilis. HCAECs but not HUVECs expressed Toll-like receptor (TLR)-2 and were responsive to non-enterobacterial endotoxins. Transfection of TLR-deficient HEK-293 cells with TLR2 or TLR4/MD2 revealed that while E. coli endotoxin utilised solely TLR4 to signal, the endotoxins, deglycosylated endotoxins (lipid-A), and whole heat-killed bacteria of the other species stimulated TLR2-but not TLR4-dependent cell-signalling. Blockade of TLR2 with neutralizing antibody prevented HCAEC activation by non-enterobacterial endotoxins. Comparison of each endotoxin with E. coli endotoxin in limulus amoebocyte lysate assay revealed that the non-enterobacterial endotoxins are greatly underestimated by this assay, which has been used in all previous studies to estimate plasma endotoxin concentrations. Circulating non-enterobacterial endotoxins may be an underestimated contributor to endothelial activation and atherosclerosis in individuals at risk of increased plasma endotoxin burden.

Toll-like receptor 4 signalling is neither sufficient nor required for oxidised phospholipids mediated induction of interleukin-8 expression

Toll-like receptor (TLR)-4 signalling has been shown to accelerate atherosclerosis. As oxidised phospholipids are present in atherosclerotic plaque and have been shown to modulate TLR4 signalling, we investigated the role of oxidised 1-palmitoyl-2-arachidonyl-sn-glycero-3-phosphorylcholine (OxPAPC) in the regulation of TLR 1, 2, 4 and 6 signalling. Unlike established TLR agonists, OxPAPC did not induce NF-?B-dependent gene expression in monocytic THP-1 cells, human aortic endothelial cells or TLR-deficient HEK-293 cells transfected with TLRs 1, 2, 4 or 6. OxPAPC induction of IL-8 was not blocked by the TLR4 specific antagonist Rhodobacter sphaeroides LPS in human aortic endothelial cells, though OxPAPC potently inhibited TLR4 mediated IL-8 induction in these cells. OxPAPC upregulated IL-8 production in TLR4 deficient HEK-293 cells and this was not increased following TLR4 overexpression. Lipids extracted from carotid atherectomy samples did not stimulate TLR 1, 2, 4 or 6 signalling in a HEK-293 transfection assay. TLR4 signalling does not contribute to OxPAPC induced IL-8 expression in human epithelial HEK-293, monocytic THP-1 or aortic endothelial cells. As lipids extracted from diseased human artery also induced no TLR signalling, it is likely that the TLR-activating materials contributing to atherosclerosis are not of endogenous lipid origin.

Improved Annual Average Daily Traffic (AADT) estimation for local roads using parcel-level travel demand modeling

Annual Average Daily Traffic (AADT) is a critical input to many transportation analyses. By definition, AADT is the average 24-hour volume at a highway location over a full year. Traditionally, AADT is estimated using a mix of permanent and temporary traffic counts. Because field collection of traffic counts is expensive, it is usually done for only the major roads, thus leaving most of the local roads without any AADT information. However, AADTs are needed for local roads for many applications. For example, AADTs are used by state Departments of Transportation (DOTs) to calculate the crash rates of all local roads in order to identify the top five percent of hazardous locations for annual reporting to the U.S. DOT. ^ This dissertation develops a new method for estimating AADTs for local roads using travel demand modeling. A major component of the new method involves a parcel-level trip generation model that estimates the trips generated by each parcel. The model uses the tax parcel data together with the trip generation rates and equations provided by the ITE Trip Generation Report. The generated trips are then distributed to existing traffic count sites using a parcel-level trip distribution gravity model. The all-or-nothing assignment method is then used to assign the trips onto the roadway network to estimate the final AADTs. The entire process was implemented in the Cube demand modeling system with extensive spatial data processing using ArcGIS. ^ To evaluate the performance of the new method, data from several study areas in Broward County in Florida were used. The estimated AADTs were compared with those from two existing methods using actual traffic counts as the ground truths. The results show that the new method performs better than both existing methods. One limitation with the new method is that it relies on Cube which limits the number of zones to 32,000. Accordingly, a study area exceeding this limit must be partitioned into smaller areas. Because AADT estimates for roads near the boundary areas were found to be less accurate, further research could examine the best way to partition a study area to minimize the impact.^

Optimization of waiting time at toll plazas

Toll plazas have several toll payment types such as manual, automatic coin machines, electronic and mixed lanes. In places with high traffic flow, the presence of toll plaza causes a lot of traffic congestion; this creates a bottleneck for the traffic flow, unless the correct mix of payment types is in operation. The objective of this research is to determine the optimal lane configuration for the mix of the methods of payment so that the waiting time in the queue at the toll plaza is minimized. A queuing model representing the toll plaza system and a nonlinear integer program have been developed to determine the optimal mix. The numerical results show that the waiting time can be decreased at the toll plaza by changing the lane configuration. For the case study developed an improvement in the waiting time as high as 96.37 percent was noticed during the morning peak hour.