Human monocytoid cells as a model to study Toll-like receptor-mediated activation

THP-1 2A9, a subclone of the monocytoid cell line THP-1 and known to be exquisitely sensitive to LPS, was tested for TNF production following triggering by excess doses of TLR ligands. TLR2, TLR4 and TLR5 agonists, but neither TLR3 nor TLR9 agonists, induced TNF production. When used at lower concentrations, priming by calcitriol strongly influenced the sensitivity of cells to LPS and different TLR2 triggers (lipoteichoic acid (LTA), trispalmitoyl-cysteyl-seryl-lysyl-lysyl-lysyl-lysine (Pam3Cys) and peptidoglycan (PGN)). Priming by calcitriol failed to modulate TLR2 and TLR4 mRNA and cell surface expression of these receptors. TNF signals elicited by TLR2 agonists were blocked by the TLR-specific antibody 2392. CD14-specific antibodies showed variable effects. CD14-specific antibodies inhibited TNF induction by LTA. High concentrations partially inhibited TNF induction by Pam3Cys. The same antibodies failed to inhibit TNF induction by PGN. Thus, THP-1 2A9 cells respond by TNF production to some, but not all TLR agonists, and the wide variety of putative TLR2 agonists interact to variable degrees also with other cell-surface-expressed binding sites such as CD14. THP-1 2A9 cells might provide a model by which to investigate in more detail the interaction of pathogen-associated molecular patterns and monocytoid cell-surface-expressed pattern recognition receptors.

Stable transduction of bovine TLR4 and bovine MD-2 into LPS-nonresponsive cells and soluble CD14 promote the ability to respond to LPS

The interaction of bovine cells with lipopolysaccharide (LPS) was explored using human embryo kidney (HEK) 293 cell line stably transduced with bovine toll-like receptor-4 (TLR4) alone or in combination with bovine MD-2. These lines and mock-transduced HEK293 cells were tested by flow cytometry for LPS-fluorescein isothiocyanate (LPS-FITC) binding, nuclear factor kappa B (NFkappaB) activation, interleukin-8 (IL-8) production and interferon-beta mRNA expression/interferon (IFN) type I production. Whereas bovine TLR4 was sufficient to promote binding of high concentrations of LPS-FITC, both bovine TLR4 and MD-2 were required for activation by LPS, as assessed by NFkappaB activation and IL-8 production. Induction of IFN bioactivity was not observed in doubly transduced HEK293 cells, and no evidence for IFN-beta mRNA induction in response to LPS was obtained, although cells responded by IFN-beta mRNA expression to stimulation by Sendai virus and poly-inosinic acid-poly-cytidylic acid (poly(I:C)). Cells stably transduced with both bovine TLR4 and bovine MD-2 responded to LPS by IL-8 production, in decreasing order, in the presence of fetal bovine serum (FCS), of human serum, and of human serum albumin (HSA). The reduced activity in the presence of HSA could be restored by the addition of soluble CD14 (sCD14) but not of LPS binding protein (LBP). This is in contrast to macrophages which show a superior response to LPS in the presence of HSA when compared with macrophages stimulated by LPS in the presence of FCS. This suggests that macrophages but not HEK293 cells express factors rendering LPS stimulation serum-independent. Stably double-transduced cells reacted, in decreasing order, to LPS from Rhodobacter sphaeroides, to LPS from Escherichia coli, to synthetic lipd-IVa (compound 406), to diphosphoryl-lipid-A (S. minnesota) and to monophosphoryl-lipid-A (S. minnesota). They failed to react to the murine MD-2/TLR4 ligand taxol. This resembles the reactivity of bovine macrophages with regard to sensitivity (ED(50)) and order of potency but is distinct from the reactivity pattern of other species. This formally establishes that in order to react to LPS, cattle cells require serum factors (e.g. sCD14) and cell-expressed factors such as MD-2 and TLR4. The cell lines described are the first of a series expressing defined pattern recognition receptors (PRR) of bovine origin. They will be useful in the study of the interaction of the bovine TLR4-MD-2 complex and Gram-negative bovine pathogens, e.g. the agents causing Gram-negative bovine mastitis.

Lipopolysaccharides from atherosclerosis-associated bacteria antagonize TLR4, induce formation of TLR2/1/CD36 complexes in lipid rafts and trigger TLR2-induced inflammatory responses in human vascular endothelial cells

Infection with bacteria such as Chlamydia pneumonia, Helicobacter pylori or Porphyromonas gingivalis may be triggering the secretion of inflammatory cytokines that leads to atherogenesis. The mechanisms by which the innate immune recognition of these pathogens could lead to atherosclerosis remain unclear. In this study, using human vascular endothelial cells or HEK-293 cells engineered to express pattern-recognition receptors (PRRs), we set out to determine Toll-like receptors (TLRs) and functionally associated PRRs involved in the innate recognition of and response to lipopolysaccharide (LPS) from H. pylori or P. gingivalis. Using siRNA interference or recombinant expression of cooperating PRRs, we show that H. pylori and P. gingivalis LPS-induced cell activation is mediated through TLR2. Human vascular endothelial cell activation was found to be lipid raft-dependent and to require the formation of heterotypic receptor complexes comprising of TLR2, TLR1, CD36 and CD11b/CD18. In addition, we report that LPS from these bacterial strains are able to antagonize TLR4. This antagonistic activity of H. pylori or P. gingivalis LPS, as well as their TLR2 activation capability may be associated with their ability to contribute to atherosclerosis.

Unifying energy minimization and mutual information maximization for robust 2D/3D registration of X-ray and CT images

Similarity measure is one of the main factors that affect the accuracy of intensity-based 2D/3D registration of X-ray fluoroscopy to CT images. Information theory has been used to derive similarity measure for image registration leading to the introduction of mutual information, an accurate similarity measure for multi-modal and mono-modal image registration tasks. However, it is known that the standard mutual information measure only takes intensity values into account without considering spatial information and its robustness is questionable. Previous attempt to incorporate spatial information into mutual information either requires computing the entropy of higher dimensional probability distributions, or is not robust to outliers. In this paper, we show how to incorporate spatial information into mutual information without suffering from these problems. Using a variational approximation derived from the Kullback-Leibler bound, spatial information can be effectively incorporated into mutual information via energy minimization. The resulting similarity measure has a least-squares form and can be effectively minimized by a multi-resolution Levenberg-Marquardt optimizer. Experimental results are presented on datasets of two applications: (a) intra-operative patient pose estimation from a few (e.g. 2) calibrated fluoroscopic images, and (b) post-operative cup alignment estimation from single X-ray radiograph with gonadal shielding.