Lysine-arginine advanced glycation end-product cross-links and the effect on collagen structure: A molecular dynamics study.

The accumulation of advanced glycation end-products is a fundamental process that is central to age-related decline in musculoskeletal tissues and locomotor system function and other collagen-rich tissues. However, although computational studies of advanced glycation end-product cross-links could be immensely valuable, this area remains largely unexplored given the limited availability of structural parameters for the derivation of force fields for Molecular Dynamics simulations. In this article, we present the bonded force constants, atomic partial charges and geometry of the arginine-lysine cross-links DOGDIC, GODIC, and MODIC. We have performed in vacuo Molecular Dynamics simulations to validate their implementation against quantum mechanical frequency calculations. A DOGDIC advanced glycation end-product cross-link was then inserted into a model collagen fibril to explore structural changes of collagen and dynamics in interstitial water. Unlike our previous studies of glucosepane, our findings suggest that intra-collagen DOGDIC cross-links furthers intra-collagen peptide hydrogen-bonding and does not promote the diffusion of water through the collagen triple helices.

Allosteric Communications between Domains Modulate the Activity of Matrix Metalloprotease-1.

An understanding of the structure-dynamics relationship is essential for understanding how a protein works. Prior research has shown that the activity of a protein correlates with intradomain dynamics occurring at picosecond to millisecond timescales. However, the correlation between interdomain dynamics and the function of a protein is poorly understood. Here, we show that communications between the catalytic and hemopexin domains of matrix metalloprotease-1 (MMP1) on type 1 collagen fibrils correlate with its activity. Using single-molecule Förster resonance energy transfer, we identified functionally relevant open conformations in which the two MMP1 domains are well separated, which were significantly absent for catalytically inactive point mutant (E219Q) of MMP1 and could be modulated by an inhibitor or an enhancer of activity. The observed relevance of open conformations resolves the debate about the roles of open and closed MMP1 structures in function. We fitted the histograms of single-molecule Förster resonance energy transfer values to a sum of two Gaussians and the autocorrelations to an exponential and power law. We used a two-state Poisson process to describe the dynamics and calculate the kinetic rates from the fit parameters. All-atom and coarse-grained simulations reproduced some of the experimental features and revealed substrate-dependent MMP1 dynamics. Our results suggest that an interdomain separation facilitates opening up the catalytic pocket so that the collagen chains come closer to the MMP1 active site. Coordination of functional conformations at different parts of MMP1 occurs via allosteric communications that can take place via interactions mediated by collagen even if the linker between the domains is absent. Modeling dynamics as a Poisson process enables connecting the picosecond timescales of molecular dynamics simulations with the millisecond timescales of single-molecule measurements. Water-soluble MMP1 interacting with water-insoluble collagen fibrils poses challenges for biochemical studies that the single-molecule tracking can overcome for other insoluble substrates. Interdomain communications are likely important for multidomain proteins.

MARDy: Mycology Antifungal Resistance Database.

Summary: The increase of antifungal drug resistance is a major global human health concern and threatens agriculture and food security; in order to tackle these concerns, it is important to understand the mechanisms that cause antifungal resistance. The curated Mycology Antifungal Resistance Database (MARDy) is a web-service of antifungal drug resistance mechanisms, including amino acid substitutions, tandem repeat sequences and genome ploidy. MARDy is implemented on a Linux, Apache, MySQL and PHP web development platform and includes a local installation of BLASTn of the database of curated genes. Availability and implementation: MARDy can be accessed at http://www.mardy.net and is free to use. The complete database can be retrieved, ordered by organism, gene and drug. Missing or new mycological antifungal resistance data can be relayed to the development team through a contribute entry form. Updates and news will be publicized via a dedicated Twitter feed: @MARDYfungi.

Simulations of CYP51A from Aspergillus fumigatus in a model bilayer provide insights into triazole drug resistance.

Azole antifungal drugs target CYP51A in Aspergillus fumigatus by binding with the active site of the protein, blocking ergosterol biosynthesis. Resistance to azole antifungal drugs is now common, with a leucine to histidine amino acid substitution at position 98 the most frequent, predominantly conferring resistance to itraconazole, although cross-resistance has been reported in conjunction with other mutations. In this study, we create a homology model of CYP51A using a recently published crystal structure of the paralog protein CYP51B. The derived structures, wild type, and L98H mutant are positioned within a lipid membrane bilayer and subjected to molecular dynamics simulations in order improve the accuracy of both models. The structural analysis from our simulations suggests a decrease in active site surface from the formation of hydrogen bonds between the histidine substitution and neighboring polar side chains, potentially preventing the binding of azole drugs. This study yields a biologically relevant structure and set of dynamics of the A. fumigatus Lanosterol 14 alpha-demethylase enzyme and provides further insight into azole antifungal drug resistance.

Prevention of influenza by targeting host receptors using engineered proteins.

There is a need for new approaches for the control of influenza given the burden caused by annual seasonal outbreaks, the emergence of viruses with pandemic potential, and the development of resistance to current antiviral drugs. We show that multivalent biologics, engineered using carbohydrate-binding modules specific for sialic acid, mask the cell-surface receptor recognized by the influenza virus and protect mice from a lethal challenge with 2009 pandemic H1N1 influenza virus. The most promising biologic protects mice when given as a single 1-µg intranasal dose 7 d in advance of viral challenge. There also is sufficient virus replication to establish an immune response, potentially protecting the animal from future exposure to the virus. Furthermore, the biologics appear to stimulate inflammatory mediators, and this stimulation may contribute to their protective ability. Our results suggest that this host-targeted approach could provide a front-line prophylactic that has the potential to protect against any current and future influenza virus and possibly against other respiratory pathogens that use sialic acid as a receptor.

De novo design of transmembrane helix-helix interactions and measurement of stability in a biological membrane.

Membrane proteins regulate a large number of cellular functions, and have great potential as tools for manipulation of biological systems. Developing these tools requires a robust and quantitative understanding of membrane protein folding and interactions within the bilayer. With this in mind, we have designed a series of proteins to probe the net thermodynamic contribution of well-known sequence motifs to transmembrane helix-helix association in a biological membrane. The proteins were designed from first principles (de novo) using current knowledge about membrane insertion and stabilizing interaction motifs. A simple poly-Leu "scaffold" was decorated with individual helix interaction motifs (G-XXX-G, polar residues, heptad repeat) to create transmembrane helix-helix interactions of increasing strength. The GALLEX assay, an in vivo assay for measurement of transmembrane helix self-association, was combined with computational methods to characterize the relative strength and mode of interaction for each sequence. In addition, the apparent free energy contribution (ΔΔGapp) of each motif to transmembrane helix self-association was measured in a biological membrane, results that are the first of their kind for these de novo designed sequences, and suggest that the free energy barrier to overcoming weak association is quite small (<1.4 kcal mol(-1)) in a natural membrane. By quantifying and rationalizing the contribution of key motifs to transmembrane helix association, our work offers a route to direct the design of novel sequences for use in biotechnology or synthetic biology (e.g. molecular switches) and to predict the effects of sequence modification in known transmembrane domains (for control of cellular processes).

Susceptibility of bone marrow-derived macrophages to influenza virus infection is dependent on macrophage phenotype.

The role of the macrophage in influenza virus infection is complex. Macrophages are critical for resolution of influenza virus infections but implicated in morbidity and mortality in severe infections. They can be infected with influenza virus and consequently macrophage infection is likely to have an impact on the host immune response. Macrophages display a range of functional phenotypes, from the prototypical pro-inflammatory classically activated cell to alternatively activated anti-inflammatory macrophages involved in immune regulation and wound healing. We were interested in how macrophages of different phenotype respond to influenza virus infection and therefore studied the infection of bone marrow-derived macrophages (BMDMs) of classical and alternative phenotype in vitro. Our results show that alternatively activated macrophages are more readily infected and killed by the virus than classically activated. Classically activated BMDMs express the pro-inflammatory markers inducible nitric oxide synthase (iNOS) and TNF-α, and TNF-α expression was further upregulated following infection. Alternatively activated macrophages express Arginase-1 and CD206; however, following infection, expression of these markers was downregulated whilst expression of iNOS and TNF-α was upregulated. Thus, infection can override the anti-inflammatory state of alternatively activated macrophages. Importantly, however, this results in lower levels of pro-inflammatory markers than those produced by classically activated cells. Our results showed that macrophage phenotype affects the inflammatory macrophage response following infection, and indicated that modulating the macrophage phenotype may provide a route to develop novel strategies to prevent and treat influenza virus infection.

Elucidating protein secondary structure with circular dichroism and a neural network.

Circular dichroism spectroscopy is a quick method for determining the average secondary structures of proteins, probing their interactions with their environment, and aiding drug discovery. This article describes the development of a self-organising map structure-fitting methodology named secondary structure neural network (SSNN) to aid this process and reduce the level of expertise required. SSNN uses a database of spectra from proteins with known X-ray structures; prediction of structures for new proteins is then possible. It has been designed as 3 units: SSNN1 takes spectra for known proteins, clusters them into a map, and SSNN2 creates a matching structure map. SSNN3 places unknown spectra on the map and gives them structure vectors. SSNN3 output illustrates the process and results obtained. We detail the strengths and weaknesses of SSNN and compare it with widely accepted structure fitting programs. Current input format is Δε per amino acid residue from 240 to 190 nm in 1 nm steps for the known and unknown proteins and a vector summarizing the secondary structure elements of the known proteins. The format is readily modified to include input data with, for example, extended wavelength ranges or different assignment of secondary structures. SSNN can be used either pretrained with a reference set from the CDPro web site (direct application of SSNN3, with the provided output from SSNN1 and SSNN2) or all three modules can be used as required. SSNN3 is available trained (with the reference set of the 48-spectra set used in this work complemented by five additional spectra) at http://www2.warwick.ac.uk/fac/sci/chemistry/research/arodger/arodgergroup/research_intro/instrumentation/ssnn/.

Effects of the oncogenic V(664)E mutation on membrane insertion, structure, and sequence-dependent interactions of the Neu transmembrane domain in micelles and model membranes: an integrated biophysical and simulation study.

Receptor tyrosine kinases bind ligands such as cytokines, hormones, and growth factors and regulate key cellular processes, including cell division. They are also implicated in the development of many types of cancer. One such example is the Neu receptor tyrosine kinase found in rats (homologous to the human ErbB2 protein), which can undergo a valine to glutamic acid (V(664)E) mutation at the center of its α-helical transmembrane domain. This substitution results in receptor activation and oncogenesis. The molecular basis of this dramatic change in behavior upon introduction of the V(664)E mutation has been difficult to pin down, with conflicting results reported in the literature. Here we report the first quantitative, thermodynamic analysis of dimerization and biophysical characterization of the rat Neu transmembrane domain and several mutants in a range of chemical environments. These data have allowed us to identify the effects of the V(664)E mutation in the isolated TM domain with respect to protein-protein and protein-lipid interactions, membrane insertion, and secondary structure. We also report the results from a 100 ns atomistic molecular dynamics simulation of the Neu transmembrane domain in a model membrane bilayer (dipalmitoylphosphatidylcholine). The results from simulation and experiment are in close agreement and suggest that, in the model systems investigated, the V(664)E mutation leads to a weakening of the TM dimer and a change in sequence-dependent interactions. These results are contrary to recent results obtained in mammalian membranes, and the implications of this are discussed.

A novel family of peptides with potent activity against influenza A viruses.

The emergence of drug-resistant strains of influenza virus has catalysed a search for new antiviral agents to supplement or replace existing drugs. Following the success of the human immunodeficiency virus entry blocker Enfuvirtide, there has been a resurgence of interest in peptide-based antivirals. In this paper, we report on the discovery of a novel family of peptides (FluPep, FP) that function as inhibitors of influenza A virus infection. The prototype peptide (FP1, also known as Tkip) interacts with haemagglutinin and inhibits the binding of the virus to cell membranes. Using a plaque-reduction assay, we have demonstrated that a variety of influenza A virus subtypes (including H1N1, H3N2 and H5N1) are inhibited by FluPep and its derivatives at nanomolar concentrations. By truncating FluPep we have identified a minimal sequence of 6 aa that binds to haemagglutinin and inhibits infection. Using a mouse model of intranasal influenza virus infection, we observed potent inhibition of virus infection when peptide is given at the time of virus administration. These data indicate that FluPep is a highly effective anti-influenza agent with the potential to translate to the clinic.

Antiviral RNA interference responses induced by Semliki Forest virus infection of mosquito cells: characterization, origin, and frequency-dependent functions of virus-derived small interfering RNAs.

RNA interference (RNAi) is an important mosquito defense mechanism against arbovirus infection. In this paper we study the processes underlying antiviral RNAi in Aedes albopictus-derived U4.4 mosquito cells infected with Semliki Forest virus (SFV) (Togaviridae; Alphavirus). The production of virus-derived small interfering RNAs (viRNAs) from viral double-stranded RNA (dsRNA) is a key event in this host response. dsRNA could be formed by RNA replication intermediates, by secondary structures in RNA genomes or antigenomes, or by both. Which of these dsRNAs is the substrate for the generation of viRNAs is a fundamental question. Here we used deep sequencing of viRNAs and bioinformatic analysis of RNA secondary structures to gain insights into the characteristics and origins of viRNAs. An asymmetric distribution of SFV-derived viRNAs with notable areas of high-level viRNA production (hot spots) and no or a low frequency of viRNA production (cold spots) along the length of the viral genome with a slight bias toward the production of genome-derived viRNAs over antigenome-derived viRNAs was observed. Bioinformatic analysis suggests that hot spots of viRNA production are rarely but not generally associated with putative secondary structures in the SFV genome, suggesting that most viRNAs are derived from replicative dsRNA. A pattern of viRNAs almost identical to those of A. albopictus cells was observed for Aedes aegypti-derived Aag2 cells, suggesting common mechanisms that lead to viRNA production. Hot-spot viRNAs were found to be significantly less efficient at mediating antiviral RNAi than cold-spot viRNAs, pointing toward a nucleic acid-based viral decoy mechanism to evade the RNAi response.

Identification of allosteric fingerprints of alpha-synuclein aggregates in matrix metalloprotease-1 and substrate-specific virtual screening with single molecule insights.

Alpha-synuclein (aSyn) has implications in pathological protein aggregations in neurodegeneration. Matrix metalloproteases (MMPs) are broad-spectrum proteases and cleave aSyn, leading to aggregation. Previous reports showed that allosteric communications between the two domains of MMP1 on collagen fibril and fibrin depend on substrates, activity, and ligands. This paper reports quantification of allostery using single molecule measurements of MMP1 dynamics on aSyn-induced aggregates by calculating Forster Resonance Energy Transfer (FRET) between two dyes attached to the catalytic and hemopexin domains of MMP1. The two domains of MMP1 prefer open conformations that are inhibited by a single point mutation E219Q of MMP1 and tetracycline, an MMP inhibitor. A two-state Poisson process describes the interdomain dynamics, where the two states and kinetic rates of interconversion between them are obtained from histograms and autocorrelations of FRET values. Since a crystal structure of aSyn-bound MMP1 is unavailable, binding poses were predicted by molecular docking of MMP1 with aSyn using ClusPro. MMP1 dynamics were simulated using predicted binding poses and compared with the experimental interdomain dynamics to identify an appropriate pose. The selected aSyn-MMP1 binding pose near aSyn residue K45 was simulated and analyzed to define conformational changes at the catalytic site. Allosteric residues in aSyn-bound MMP1 exhibiting strong correlations with the catalytic motif residues were compared with allosteric residues in free MMP1, and aSyn-specific residues were identified. The allosteric residues in aSyn-bound MMP1 are K281, T283, G292, G327, L328, E329, R337, F343, G345, N346, Y348, G353, Q354, D363, Y365, S366, S367, F368, P371, R372, V374, K375, A379, F391, A394, R399, M414, F419, V426, and C466. Shannon entropy was defined to quantify MMP1 dynamics. Virtual screening was performed against a site on selected aSyn-MMP1 binding poses, which showed that lead molecules differ between free MMP1 and substrate-bound MMP1. Also, identifying aSyn-specific allosteric residues in MMP1 enabled further selection of lead molecules. In other words, virtual screening needs to take substrates into account for potential substrate-specific control of MMP1 activity in the future. Molecular understanding of interactions between MMP1 and aSyn-induced aggregates may open up the possibility of degrading aggregates by targeting MMPs.

Selective uptake of small RNA molecules in the virion of murine gammaherpesvirus 68.

Noncoding RNAs are a feature of many herpesvirus genomes. They include microRNAs, whose function is the subject of intense investigation, in addition to longer RNA molecules such as the Epstein-Barr virus-encoded RNAs and herpesvirus saimiri U RNAs, which have been known for some time but whose function is still not well defined. Murine gammaherpesvirus 68 (MHV-68) encodes eight viral tRNA-like molecules (vtRNAs) of unknown function. Investigating the kinetics of expression of the vtRNAs, we observed that they were present directly after infection with the virus. This strongly suggested that vtRNAs were part of the virion structure, which was confirmed by their detection within various purified, RNase-treated preparations. Although both viral and cellular mRNAs were also detected within the MHV-68 virion, the major RNA species present were small RNAs of around 70 nucleotides in length. Interestingly, incorporation of viral mRNA was not related to the relative abundance in infected cells, as M11 mRNA, which is present at low abundance, was found in virions. MHV-76, which lacks the genes encoding the vtRNAs, also incorporated small RNA molecules within the virion, suggesting a requirement for these molecules for virion maturation. In productively infected cells the vtRNAs localized predominantly within the cytoplasm, although they also exhibited a globular pattern of nuclear staining. Their presence in the cytoplasm is consistent with interaction with virion components prior to maturation of virus particles. The significance of these findings for virion architecture and function is discussed.

Cell-to-cell spread of the RNA interference response suppresses Semliki Forest virus (SFV) infection of mosquito cell cultures and cannot be antagonized by SFV.

In their vertebrate hosts, arboviruses such as Semliki Forest virus (SFV) (Togaviridae) generally counteract innate defenses and trigger cell death. In contrast, in mosquito cells, following an early phase of efficient virus production, a persistent infection with low levels of virus production is established. Whether arboviruses counteract RNA interference (RNAi), which provides an important antiviral defense system in mosquitoes, is an important question. Here we show that in Aedes albopictus-derived mosquito cells, SFV cannot prevent the establishment of an antiviral RNAi response or prevent the spread of protective antiviral double-stranded RNA/small interfering RNA (siRNA) from cell to cell, which can inhibit the replication of incoming virus. The expression of tombusvirus siRNA-binding protein p19 by SFV strongly enhanced virus spread between cultured cells rather than virus replication in initially infected cells. Our results indicate that the spread of the RNAi signal contributes to limiting virus dissemination.

Common transcriptional signatures of neuropathic pain.

ABSTARCT: The dorsal root ganglia (DRG) are key structures in nociception and chronic pain disorders. Several gene expression studies of DRG in preclinical pain models have been performed, but it is unclear if consistent gene changes are identifiable. We, therefore, compared several recent RNA-Seq data sets on the whole DRG in rodent models of nerve injury. Contrary to previous findings, we show hundreds of common differentially expressed genes and high positive correlation between studies, despite model and species differences. We also find, in contrast to previous studies, that 60% of the common rodent gene response after injury is likely to occur in nociceptors of the DRG. Substantial expression changes are observed at a 1-week time-point, with smaller changes in the same genes at a later 3- to 4-week time-point. However, a subset of genes shows a similar magnitude of changes at both early and late time-points, suggesting their potential involvement in the maintenance of chronic pain. These genes are centred around suppression of endogenous opioid signalling. Reversal of this suppression could allow endogenous and exogenous opioids to exert their analgesic functions and may be an important strategy for treating chronic pain disorders. Currently used drugs, such as amitriptyline and duloxetine, do not seem to appropriately modulate many of the critical pain genes and indeed may transcriptionally suppress endogenous opioid signalling further.

The aggregation of striped nanoparticles in mixed phospholipid bilayers.

The unique and adjustable properties of nanoparticles present enormous opportunities for their use as targeted drug delivery vectors. For example, nanoparticles functionalized with key surface ligands have been shown to pass through phospholipid bilayers without causing localised disruption. However, the further effects nanoparticles have on multi-component phospholipid bilayers remain unclear. We use coarse-grained computational models to investigate the structural properties of mixed phospholipid bilayers in the presence of ligand-functionalized nanoparticles. Model bilayers are composed of DPPC, DUPC, DFPC and cholesterol, and the nanoparticles are striped with a hydrophobic-ligand band and charged-ligand spherical caps. Our results show that nanoparticles aggregate near unsaturated phospholipid regions, phospholipid bilayer phase-separation is promoted in the presence of nanoparticles, and the heterogeneous components of a phospholipid bilayer play a significant role in the lateral organization of nanoparticles. This study highlights the need for considering the complexity of realistic phospholipid bilayers when optimising ligand functionalized nanoparticles for efficient drug delivery vectors.

Measurement properties of Patient-Reported Outcome Measures used to assess the sleep quality in adults with high prevalence chronic pain conditions: a systematic review.

OBJECTIVES: To provide a comprehensive overview of the measurement properties of patient-reported outcome measures (PROMs) used to assess sleep quality in adult patients with prevalent pain-related conditions. METHODS: Without language restrictions PubMed, Scopus, and Embase were searched from their inception to January 2020. Independent reviewers screened and selected studies, extracted data, assessed the methodological quality using the Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) Risk of Bias checklist, and performed an evidence synthesis for each measurement property. The results were classified as sufficient, insufficient, inconsistent, or indeterminate, and quality of evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS: Nineteen studies were included investigating twelve PROMs and six pain-related conditions. Reliability, internal consistency, structural and construct validity were the most prevalent measurement properties investigated across the studies. Three questionnaires were investigated in more than one study (Jenkins Sleep Scale [JSS] and Pittsburgh Sleep Quality Scale [PSQI] and the Medical Outcomes Study-Sleep Scale [MOS-SS]). High-quality evidence was reported for sufficient content validity in the JSS and indeterminate responsiveness in the MOS-SS. Moderate to high evidence was reported for sufficient structural validity in the MOS-SS and PSQI and sufficient and insufficient construct validity in the JSS And MOS-SS. Low to high evidence was reported for sufficient internal consistency in the MOS-SS and PSQI, while low to moderate evidence for sufficient reliability in the JSS, MOS-SS, and PSQI. CONCLUSION: Studies reporting the most measurement properties included the JSS, MOS-SS, and PSQI in multiple prevalent pain-related conditions. Given this, not all measurement properties have been reported for these as well as other questionnaires, and much investigation is needed to ensure the quality of these questionnaires within high prevalence chronic pain conditions. PROSPERO: CRD42019136623.

Murid herpesvirus-4 induces chronic inflammation of intrahepatic bile ducts in mice deficient in gamma-interferon signalling.

AIM: Infection of gamma interferon receptor defective mice with murid herpesvirus-4 also known as murine gammaherpesvirus-68 results in multi-organ fibrosis. In this paper we characterise the pathological changes occurring in the liver in this model. METHODS: Standard immunohistochemistry and in situ hybridisation techniques were used to identify the cellular changes and the presence of virus at different times post infection. RESULTS: In liver sections from infected gamma interferon receptor defective mice sampled on day 16 to at least day 120, 79% showed proliferating intrahepatic bile ducts associated with a chronic mononuclear cell inflammation. Only 8% of wild type mice showed similar lesions. Coincident with the inflammatory response bile duct epithelial cells were positive for arginase 1. Around day 50 post infection onwards focal fibrotic lesions appeared in approximately 30% of gamma interferon receptor defective mice resulting in destruction of intrahepatic bile ducts. In contrast to the chronic persisting inflammatory response the presence of virus infected cells were only observed between day 12-20 post-infection. CONCLUSION: Infection of gamma interferon receptor defective mice with a murine gammaherpesvirus initiates a chronic persisting inflammatory response with a pathological profile similar to the human fibrotic liver disorder Primary Sclerosing Cholangitis.

Murine gammaherpesvirus-induced fibrosis is associated with the development of alternatively activated macrophages.

Murine gammaherpesvirus 68 (MHV-68) is a natural pathogen of rodents closely related to the human gammaherpesviruses Kaposi's sarcoma-associated herpesvirus and EBV. Following intranasal infection, the virus replicates in the lung epithelium prior to establishing latent infection in lymphoid tissue. Infection of mice deficient in IFN-gammaR signaling (IFN-gammaR-/-) results in a multiple organ fibrosis, in which the spleen is severely affected. We show here that by Day 12 postinfection, prior to development of fibrosis in the spleens of IFN-gammaR-/- mice, different subsets of splenic macrophages (Mvarphis) are morphologically activated and enter latently infected germinal centers (GCs). Mvarphis coexpressing arginase I (ARG1), a marker of alternative activation of Mvarphis, and murine Mvarphi markers F4/80, ER-TR9, and MOMA-1 are found in GCs of IFN-gammaR-/- mice but not of wild-type mice. Quantitative RT-PCR of spleen RNA confirms induction of ARG1 and in addition, shows up-regulation of found in inflammatory zone 1/resistin-like molecule-alpha, tissue inhibitor of metalloproteinase-1, matrix metalloproteinase-12, fibronectin, and factor XIIIA in IFN-gammaR-/- mice. In contrast, inducible NO synthase, associated with classical Mvarphi activation, is up-regulated following infection of wild-type mice but not IFN-gammaR(-/-) mice. Concomitant with the aaMvarphis, transcription of the Th2 cytokines IL-13, IL-21, and IL-5 is up-regulated. Thus, in the absence of IFN-gammaR signaling, MHV-68 initiates a Th2 immune response, leading to alternative activation of macrophages and induction of fibrosis. This system provides an important model for studying the pathogenesis of fibrosis initiated by a latent herpesvirus infection.

Relative orientation of collagen molecules within a fibril: a homology model for homo sapiens type I collagen.

Type I collagen is an essential extracellular protein that plays an important structural role in tissues that require high tensile strength. However, owing to the molecule's size, to date no experimental structural data are available for the Homo sapiens species. Therefore, there is a real need to develop a reliable homology model and a method to study the packing of the collagen molecules within the fibril. Through the use of the homology model and implementation of a novel simulation technique, we have ascertained the orientations of the collagen molecules within a fibril, which is currently below the resolution limit of experimental techniques. The longitudinal orientation of collagen molecules within a fibril has a significant effect on the mechanical and biological properties of the fibril, owing to the different amino acid side chains available at the interface between the molecules.