Microbial containment device: A platform for comprehensive analysis of microbial metabolism without sample preparation.

Metabolomics is a mainstream strategy for investigating microbial metabolism. One emerging application of metabolomics is the systematic quantification of metabolic boundary fluxes - the rates at which metabolites flow into and out of cultured cells. Metabolic boundary fluxes can capture complex metabolic phenotypes in a rapid assay, allow computational models to be built that predict the behavior of cultured organisms, and are an emerging strategy for clinical diagnostics. One advantage of quantifying metabolic boundary fluxes rather than intracellular metabolite levels is that it requires minimal sample processing. Whereas traditional intracellular analyses require a multi-step process involving extraction, centrifugation, and solvent exchange, boundary fluxes can be measured by simply analyzing the soluble components of the culture medium. To further simplify boundary flux analyses, we developed a custom 96-well sampling system-the Microbial Containment Device (MCD)-that allows water-soluble metabolites to diffuse from a microbial culture well into a bacteria-free analytical well via a semi-permeable membrane. The MCD was designed to be compatible with the autosamplers present in commercial liquid chromatography-mass spectrometry systems, allowing metabolic fluxes to be analyzed with minimal sample handling. Herein, we describe the design, evaluation, and performance testing of the MCD relative to traditional culture methods. We illustrate the utility of this platform, by quantifying the unique boundary fluxes of four bacterial species and demonstrate antibiotic-induced perturbations in their metabolic activity. We propose the use of the MCD for enabling single-step metabolomics sample preparation for microbial identification, antimicrobial susceptibility testing, and other metabolic boundary flux applications where traditional sample preparation methods are impractical.

Metabolomics: The Key to Unraveling the Role of the Microbiome in Visceral Pain Neurotransmission.

Inflammatory bowel disease (IBD), comprising Crohn's disease and Ulcerative colitis, is a relapsing and remitting disease of the gastrointestinal tract, presenting with chronic inflammation, ulceration, gastrointestinal bleeding, and abdominal pain. Up to 80% of patients suffering from IBD experience acute pain, which dissipates when the underlying inflammation and tissue damage resolves. However, despite achieving endoscopic remission with no signs of ongoing intestinal inflammation or damage, 30-50% of IBD patients in remission experience chronic abdominal pain, suggesting altered sensory neuronal processing in this disorder. Furthermore, effective treatment for chronic pain is limited such that 5-25% of IBD outpatients are treated with narcotics, with associated morbidity and mortality. IBD patients commonly present with substantial alterations to the microbial community structure within the gastrointestinal tract, known as dysbiosis. The same is also true in irritable bowel syndrome (IBS), a chronic disorder characterized by altered bowel habits and abdominal pain, in the absence of inflammation. An emerging body of literature suggests that the gut microbiome plays an important role in visceral hypersensitivity. Specific microbial metabolites have an intimate relationship with host receptors that are highly expressed on host cell and neurons, suggesting that microbial metabolites play a key role in visceral hypersensitivity. In this review, we will discuss the techniques used to analysis the metabolome, current potential metabolite targets for visceral hypersensitivity, and discuss the current literature that evaluates the role of the post-inflammatory microbiota and metabolites in visceral hypersensitivity.

Methods for Quantifying the Metabolic Boundary Fluxes of Cell Cultures in Large Cohorts by High-Resolution Hydrophilic Liquid Chromatography Mass Spectrometry.

Metabolomics is a mainstream approach for investigating the metabolic underpinnings of complex biological phenomena and is increasingly being applied to large-scale studies involving hundreds or thousands of samples. Although metabolomics methods are robust in smaller-scale studies, they can be challenging to apply to larger cohorts due to the inherent variability of liquid chromatography mass spectrometry (LC-MS). Much of this difficulty results from the time-dependent changes in the LC-MS system, which affects both the qualitative and quantitative performances of the instrument. Herein, we introduce an analytical strategy for addressing this problem in large-scale microbial studies. Our approach quantifies microbial boundary fluxes using two zwitterionic hydrophilic interaction liquid chromatography (ZIC-HILIC) columns that are plumbed to enable offline column equilibration. Using this strategy, we show that over 397 common metabolites can be resolved in 4.5 min per sample and that metabolites can be quantified with a median coefficient of variation of 0.127 across 1100 technical replicates. We illustrate the utility of this strategy via an analysis of 960 strains of Staphylococcus aureus isolated from bloodstream infections. These data capture the diversity of metabolic phenotypes observed in clinical isolates and provide an example of how large-scale investigations can leverage our novel analytical strategy.

Method for absolute quantification of short chain fatty acids via reverse phase chromatography mass spectrometry.

Short chain fatty acids (SCFAs; including acetate, propionate, and butyrate) are an important class of biological molecules that play a major role in modulating host-microbiome interactions. Despite significant research into SCFA-mediated biological mechanisms, absolute quantification of these molecules in their native form by liquid chromatography mass spectrometry is challenging due to their relatively poor chromatographic properties. Herein, we introduce SQUAD, an isotope-based strategy for absolute quantification of SCFAs in complex biological samples. SQUAD uses aniline derivatization in conjunction with isotope dilution and analysis by reverse-phase liquid chromatography mass spectrometry. We show that SQUAD enables absolute quantification of biologically relevant SCFAs in complex biological samples with a lower limit of detection of 40 nM and a lower limit of quantification ranging from 160 nM to 310 nM. We observed an intra- and inter-day precision under 3% (relative standard deviation) and errors in intra- and inter-day accuracy under 10%. To demonstrate this quantification strategy, we analyzed SCFAs in the caecal contents of germ free versus conventionally raised specific pathogen free (SPF) mice. We showed that acetate was the most abundant SCFA in both types of mice and was present at 200-fold higher concentration in the SPF mice. We also illustrated the use of our quantification strategy in in vitro microbial cultures from five different species of bacteria grown in Mueller Hinton media. This study illustrates the diverse SCFA production rates across microbial taxa with acetate production serving as one of the key differentiating factors across the species. In summary, we introduce an isotope dilution strategy for absolute quantification of aniline-dativized SCFAs and illustrate the utility of this approach for microbiome research.

The properties conferred upon triple-helical collagen-mimetic peptides by the presence of cysteine residues.

Recently, the ability of polymeric collagen-like peptides to regulate cell behavior has generated great interest. A triple-helical peptide known as collagen-related peptide (CRP) contains the sequence (Gly-Pro-Hyp)(10). With Gly-Pro-Cys triplets appended to both of its termini, designated CRP(cys), chemical cross-linking using heterobifunctional reagents generates CRP(cys)-XL, a potent, widely used, polymeric agonist for platelet Glycoprotein VI, whereas non-cross-linked, monomeric CRP(cys) antagonizes Glycoprotein VI. Here, we describe how cysteine in these triplets may also undergo random air-induced oxidation, especially upon prolonged storage or repeated freeze-thawing, to form disulphide bonds, resulting in a lesser degree of polymerization than with chemical cross-linking. We investigated the monomeric and polymeric states of these and other cysteine-containing collagen-derived peptides, using gel filtration and dynamic light scattering, allowing the size of a CRP-XL aggregate to be estimated. The effect of cysteine thiols upon peptide adsorption to surfaces and subsequent platelet responses was investigated. This demonstrated that cysteine is required for strong binding to glass coverslips and to plastic plates used in ELISA assays.

The effect of purity upon the triple-helical stability of collagenous peptides.

Collagen is the fundamental structural protein, comprising 25-35% of the total body protein, its rod-like triple helix providing support in many tissues. Our laboratory has synthesised 113 Toolkit peptides, each 63 residues long, covering the entirety of the homotrimeric helix sequence of collagen II and collagen III. These are used primarily to investigate protein-collagen interactions, from which biomedical applications are under development. Upon increasing the temperature of a Toolkit peptide solution, a novel low temperature transition (LTT) as well as a broadening of the helix unfolding higher temperature transition (HTT) was observed. Here, we hypothesized that unfolding of imperfect helices can account for the LTT. Peptides of various purities were isolated by HPLC or gel filtration, and their unfolding measured by polarimetry, CD, and DSC. The resulting temperature transitions were fitted to a kinetic unfolding equation, allowing comparison of the data, and explanation of the observed melting curve complexity as due to peptide imperfections. Finally, using a mathematical model, this data can be replicated by setting a parameter that quantifies the mutual stabilization conferred by helices on each side of a peptide defect within a triple helix.

Identification of multiple potent binding sites for human leukocyte associated Ig-like receptor LAIR on collagens II and III.

Immune responses are tightly controlled by the opposing actions of activating and inhibitory immune receptors. Previously we identified collagens as ligands for the inhibitory leukocyte-associated Ig-like receptor-1 (LAIR-1), revealing a novel mechanism of peripheral immune regulation by inhibitory immune receptors binding to extracellular matrix collagens. This interaction can be blocked by LAIR-2, a secreted member of the LAIR-1 family. LAIR-1 specifically interacts with synthetic trimeric peptides containing 10 repeats of glycine-proline-hydroxyproline (GPO) residues which can directly inhibit immune cell activation in vitro. Here we studied the interaction of human LAIR-1 and LAIR-2 with collagen in more detail by using novel overlapping synthetic trimeric peptides (Toolkits) encompassing the entire triple-helical domain of human collagens II and III. LAIR-1 and LAIR-2 bind several of these collagen-like peptides, with LAIR-2 being able to bind more than LAIR-1. LAIR binding to trimeric collagen peptides was influenced by GPO content of the peptide, although additional non-GPO triplets contributed to the interaction. Furthermore, we identified several trimeric peptides that were potent LAIR-1 ligands and could efficiently induce inhibition of T cell activation and FceRI-induced degranulation of RBL-2H3 cells through binding to LAIR-1. A detailed understanding of the LAIR recognition motifs within collagen may lead to the development of potent reagents that can be used in in vitro, ex vivo, and in vivo functional studies to dissect the biology and function of the collagen/LAIR-1 interaction.

Mouse leukocyte-associated Ig-like receptor-1 (mLAIR-1) functions as an inhibitory collagen-binding receptor on immune cells.

Leukocyte-associated Ig-like receptor-1 (LAIR-1) is a cell-surface molecule that functions as an inhibitory receptor on various immune cells. We developed mAbs to study the expression of mouse leukocyte-associated Ig-like receptor-1 (mLAIR-1) on primary immune cells and established that it is expressed on the majority of cells of the immune system, including T cells, NK cells, monocytes and dendritic cells. Furthermore, mLAIR-1 is inducibly expressed on blood granulocytes in vivo and is differentially expressed upon T cell activation in vitro. Unexpectedly, mLAIR-1 was not expressed on splenic and blood B220(+) B cells. Similar to its human homolog, mLAIR-1 interacted with high affinity with a wide range of collagen molecules. Furthermore, mLAIR-1 specifically interacted in a hydroxyproline-dependent manner with synthetic collagen Gly-Pro-Hyp peptides. We show, for the first time, that mLAIR-1 cross-linking with its ligands inhibits CD3-induced T cell stimulation in vitro. Given the similarities between the mouse and human receptors, mLAIR-1 may serve as a good model to assess the role of the LAIR-1 receptors in regulation of immune responses.