The innate immune system and the clearance of apoptotic cells

Apoptosis, programmed cell death, is used by multicellular organisms to remove cells that are in excess, damaged or diseased. Activation of the apoptosis programme generates "eat me" signals on the surface of the apoptotic cell that mediate recognition and clearance by the innate immune system. CD14, a pattern recognition receptor expressed on macrophages, is widely known for its ability to recognise the pathogen-associated molecular pattern lipopolysaccharide (LPS) and promote inflammation. However, CD14 has also been shown to mediate binding and removal of apoptotic cells in a process that is anti-inflammatory suggesting CD14 is capable of producing two distinct, ligand-dependent macrophage responses. Whilst the molecular basis for this dichotomy has yet to be defined it is clear that CD14 defines a point of interest on the macrophage surface where we may study ligand-specific responses of macrophages. Our work seeks to define the molecular mechanisms underlying the involvement of CD14 in the non-inflammatory clearance of apoptotic cells. Here we used three different differentiation strategies to generate macrophages from the monocytic cell line THP-1. The resultant macrophage models were characterised to assess the expression and function of CD14 within each model system. Whilst each macrophage model shows increased levels of surface CD14 expression, our results demonstrate significant differences in the various models’ abilities to respond to LPS and clear apoptotic cells in a CD14-dependent manner. TLR4 levels correlated positively with LPS responsiveness but not CD14-dependent apoptotic cell clearance or anti-inflammatory responses to apoptotic cells. These observations suggest CD14-dependent apoptotic cell clearance is not dependent on TLR4. Taken together our data support the notion that the CD14 ligand-dependent responses to LPS and apoptotic cells derive from changes at the macrophage surface. The nature and composition of the CD14-co-receptor complex for LPS and apoptotic cell binding and responses is the subject of further study.

CD14 and innate immune clearance of apoptotic cells

Rapid elimination of cells undergoing programmed cell death (apoptosis) is vital to maintain tissue homeostasis. The phagocytic removal of apoptotic cells (AC) is mediated by innate immune molecules, professional phagocytes and amateur phagocytes that recognise "eat me" signals on the surface of the AC. CD14, a pattern recognition receptor expressed on macrophages, is widely known for its ability to recognise the pathogen-associated molecular pattern lipopolysaccharide (LPS) and promote inflammation. CD14 also mediates the binding and removal of AC, a process that is considered to be anti-inflammatory therefore suggesting CD14 is capable of producing two distinct ligand-dependent responses. Our work seeks to define the molecular mechanisms underlying the involvement of CD14 in the non-inflammatory clearance of AC. Here we describe three different differentiation strategies used to generate macrophages from the monocytic cell line THP-1. Whilst CD14 expression was increased in each macrophage model we demonstrate significant differences in the various macrophage models' abilities to respond to LPS and clear AC. We show that CD14 expression correlates with CD14-dependent AC clearance and anti-inflammatory responses to AC. However LPS responsiveness correlates, as expected, with TLR4 but not CD14 expression. These observations suggest CD14-dependent AC clearance is not dependent on TLR4. Taken together our data support the notion that CD14 ligand-dependent responses to LPS and AC are derived from changes at the macrophage surface. The nature and composition of the CD14-co-receptor complex for LPS and AC binding and consequent responses is the subject of further study.

Acanthamoeba polyphaga trophozoite binding of representative fungal single cell forms

Acanthamoeba polyphaga trophozoites bind yeast cells of Candida albicans isolates within a few hours, leaving few cells in suspension or still attached to trophozoite surfaces. The nature of yeast cell recognition, mediated by an acanthamoebal trophozoite mannose binding protein is confirmed by experiments utilizing concentration dependent mannose hapten blocking. Similarly, acapsulate cells of Cryptococcus neoformans are also bound within a relatively short timescale. However, even after protracted incubation many capsulate cells of Cryptococcus remain in suspension, suggesting that the capsulate cell form of this species is not predated by acanthamoebal trophozoites. Further aspects of the association of Acanthamoeba and fungi are apparent when studying their interaction with conidia of the biocontrol agent Coniothyrium minitans. Conidia which readily bind with increasing maturity of up to 42 days, were little endocytosed and even released. Cell and conidial surface mannose as determined by FITC-lectin binding, flow cytometry with associated ligand binding analysis and hapten blocking studies demonstrates the following phenomena. Candida isolates and acapsulate Cryptococcus expose most mannose, while capsulate Cryptococcus cells exhibit least exposure commensurate with yeast cellular binding or lack of trophozoites. Conidia of Coniothyrium, albeit in a localized fashion, also manifest surface mannose exposure but as shown by Bmax values, in decreasing amounts with increasing maturity. Contrastingly such conidia experience greater trophozoite binding with maturation, thereby questioning the primacy of a trophozoite mannose-binding-protein recognition model.

A study of potential serum markers for a diagnosis of gram-positive and gram-negative bacterial sepsis

Sepsis continues to be a major cause of morbidity and mortality as it can readily lead tosevere sepsis, septic shock, multiple organ failure and death. The onset can be rapid and difficult to define clinically. Despite the numerous candidate markers proposed in the literature, to date a serum marker for sepsis has not been found. The aim of this study was to assay the serum of clinically diagnosed patients with eithera Gram-negative or Gram- positive bacterial sepsis for elevated levels of nine potentialmarkers of sepsis, using commercially produced enzyme linked immunosorbent assays(ELISA). The purpose was to find a test marker for sepsis that would be helpful toclinicians in cases of uncertain sepsis and consequently expose false positive BC'scaused by skin or environmental contaminants. Nine test markers were assayed including IL-6, IL-I 0, ILI2, TNF-α, lipopolysaccharide binding protein, procalcitonin, sE-selectin, sICAM -1 and a potential differential marker for Gram-positive sepsis- anti-lipid S antibody. A total of 445 patients were enrolled into this study from the Queen Elizabeth Hospital and Selly Oak Hospital (Birmingham). The results showed that all the markers were elevated in patients with sepsis and that patients with a Gram-negative sepsis consistently produced higher median/range serum levels than those with a Gram-positive sepsis. No single marker was able to identify all the septic patients. Combining two markers caused the sensitivities and specificities for a diagnosis of sepsis to increase to within a 90% to 100% range. By a process of elimination the markers that survived into the last phase were IL-6 with sICAM -1, and anti-lipid S IgG assays Defining cut-off levels for a diagnosis of sepsis became problematic and a semi-blind trial was devised to test the markers in the absence of both clinical details and positive blood cultures. Patients with pyrexia of unknown origin and negative BC were included in this phase (4). The results showed that IL-6 with sICAM-l are authentic markers of sepsis. There was 82% agreement between the test marker diagnosis and the clinical diagnosis for sepsis in patients with a Gram-positive BC and 78% agreement in cases of Gram-negative Be. In the PUO group the test markers identified 12 cases of sepsis and the clinical diagnosis 15. The markers were shown to differentiate between early sepsis and sepsis, inflammatory responses and infection. Anti-lipid S with IL-6 proved be a sensitive marker for Gram-positive infections/sepsis.

The surface of Pseudomonas aeruginosa in cystic fibrosis lung infection

Chronic experimental lung infection in rats was induced by intratracheal inoculation of agar beads containing Pseudomonas aeruginosa. Bacteria were recovered directly without subculture from the lungs of rats at 14 days post-infection and the outer membrane (OM) antigens were studied. The results indicated that bacteria grew under iron-restricted conditions as revealed by the expression of several iron-regulated membrane proteins (IRMPs) which could also be observed when the isolate was grown under iron-depleted conditions in laboratory media. The antibody response to P. aeruginosa OM protein antigens was investigated by immunoblotting with serum and lung fluid from infected rats. These fluids contained antibodies to all the major OM proteins, including the IRMPs, and protein H1. Results obtained using immunoblotting and enzyme-linked immunosorbent assay indicated that lipopolysaccharide (LPS) was the major antigen recognised by antibodies in sera from infected rats. The animal model was used to follow the development of the immune response to P. aeruginosa protein and LPS antigens. Immunoblotting was used to investigate the antigens recognised by antibodies in sequential serum samples. An antibody response to the IRMPs and OM proteins D, E, G and H1 and alao to rough LPS was detected as early as 4 days post-infection. Results obtained using immunoblotting and crossed immunoelectrophoresis techniques indicated that there was a progressive increase in the number of P. aeruginosa antigens recognised by antibodies in these sera. Both iron and magnesium depletion influenced protein H1 production. Antibodies in sera from patients with infections due to P. aeruginosa reacted with this antigen. Results obtained using quantitative gas-liquid chromatographic analysis indicated that growth phase and magnesium and iron depletion also affected the amount of LPS fatty acids, produced by P. aeruginosa. The silver stained SDS-polyacrylamide gels of proteinase K digested whole cell lysates of P. aeruginosa indicated that the O-antigen and core LPS were both affected by growth phase and specific nutrient depletion.

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.

Apoptosis induction in gastric mucous cells in vitro:lesser potency of Helicobacter pylori than Escherichia coli lipopolysaccharide, but positive interaction with ibuprofen

Non-steroidal anti-inflammatory drugs (NSAIDs) cause peptic ulcer disease, but whether they interact with Helicobacter pylori to promote damage is controversial. Moreover, the reported induction of apoptosis in gastric cells by H. pylori lipopolysaccharide (LPS) (10-9 g /ml) contrasts with studies showing low immunological potency of this LPS. Therefore, the effects of LPS from H. pylori NCTC 11637 and Escherichia coli 0111:B4 on apoptosis in a primary culture of guinea-pig gastric mucous cells were investigated in the presence and absence of the NSAID, ibuprofen. Cell loss was estimated by a crystal violet assay, and apoptosis determined from caspase activity and from condensation and fragmentation of nuclei. Exposure to E. coli LPS for 24 h caused cell loss and enhanced apoptotic activity at concentrations ≥ 10-9 g/ml, but similar effects were only obtained with H. pylori LPS at concentrations ≥10-6 g/ml. Although ibuprofen (250 μM) caused cell loss and apoptosis, addition of either E. coli or H. pylori LPSs further enhanced these effects. In conclusion, LPS and ibuprofen interact to enhance gastric cell loss and apoptosis. In such interactions, E. coli LPS is more potent than that of H. pylori. The low potency of H. pylori LPS may contribute to a chronic low-grade gastritis that can be enhanced by the use of NSAIDs. © W. S. Maney & Son Ltd.

EnDNA-Prot:identification of DNA-binding proteins by applying ensemble learning

DNA-binding proteins are crucial for various cellular processes, such as recognition of specific nucleotide, regulation of transcription, and regulation of gene expression. Developing an effective model for identifying DNA-binding proteins is an urgent research problem. Up to now, many methods have been proposed, but most of them focus on only one classifier and cannot make full use of the large number of negative samples to improve predicting performance. This study proposed a predictor called enDNA-Prot for DNA-binding protein identification by employing the ensemble learning technique. Experiential results showed that enDNA-Prot was comparable with DNA-Prot and outperformed DNAbinder and iDNA-Prot with performance improvement in the range of 3.97-9.52% in ACC and 0.08-0.19 in MCC. Furthermore, when the benchmark dataset was expanded with negative samples, the performance of enDNA-Prot outperformed the three existing methods by 2.83-16.63% in terms of ACC and 0.02-0.16 in terms of MCC. It indicated that enDNA-Prot is an effective method for DNA-binding protein identification and expanding training dataset with negative samples can improve its performance. For the convenience of the vast majority of experimental scientists, we developed a user-friendly web-server for enDNA-Prot which is freely accessible to the public. © 2014 Ruifeng Xu et al.

Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation

Background: DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. Identification of DNA-binding proteins is one of the major challenges in the field of genome annotation. There have been several computational methods proposed in the literature to deal with the DNA-binding protein identification. However, most of them can't provide an invaluable knowledge base for our understanding of DNA-protein interactions. Results: We firstly presented a new protein sequence encoding method called PSSM Distance Transformation, and then constructed a DNA-binding protein identification method (SVM-PSSM-DT) by combining PSSM Distance Transformation with support vector machine (SVM). First, the PSSM profiles are generated by using the PSI-BLAST program to search the non-redundant (NR) database. Next, the PSSM profiles are transformed into uniform numeric representations appropriately by distance transformation scheme. Lastly, the resulting uniform numeric representations are inputted into a SVM classifier for prediction. Thus whether a sequence can bind to DNA or not can be determined. In benchmark test on 525 DNA-binding and 550 non DNA-binding proteins using jackknife validation, the present model achieved an ACC of 79.96%, MCC of 0.622 and AUC of 86.50%. This performance is considerably better than most of the existing state-of-the-art predictive methods. When tested on a recently constructed independent dataset PDB186, SVM-PSSM-DT also achieved the best performance with ACC of 80.00%, MCC of 0.647 and AUC of 87.40%, and outperformed some existing state-of-the-art methods. Conclusions: The experiment results demonstrate that PSSM Distance Transformation is an available protein sequence encoding method and SVM-PSSM-DT is a useful tool for identifying the DNA-binding proteins. A user-friendly web-server of SVM-PSSM-DT was constructed, which is freely accessible to the public at the web-site on http://bioinformatics.hitsz.edu.cn/PSSM-DT/.