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Biology subjects

Martin, R. L.

Publications and source records attributed to Martin, R. L..

4 recordsLinked to original sources

In-vitro Modeling of Intravenous Drug Precipitation by the Optical Spatial Precipitation Analyzer (OSPREY)

Intravenous (IV) administration of poorly water-soluble small molecule therapeutics can lead to precipitation during mixing with blood. This can limit characterization of pharmacological and safety endpoints in preclinical models. Most often, tests of kinetic and thermodynamic solubility are used to optimize the formulation for solubility prior to infusion in animals, but these do not capture the dynamic precipitation processes that take place during in-vivo administration. To better capture the fluid dynamic processes that occur during IV administration, we developed the Optical Spatial Precipitation AnalYzer (OSPREY) as a method to quantify the amount and size of compound precipitates in whole blood using a flow-through system that mimics IV administration. Here, we describe the OSPREY device and its underlying imaging processing methods. We then validate the ability to accurately segment particles according to their size using monodisperse suspensions of microspheres (diameter 50 to 425 microns). Next, we use a tool compound, ABT-737, to study the effects of compound concentration, vessel flow rate, compound infusion rate and vessel diameter on precipitation. Finally, we use the physiological diameter and flow rate of rat femoral vein and dog saphenous vein to demonstrate the potential of OSPREY to model in-vivo precipitation in a controlled, dynamic in-vitro assay. HighlightsO_LIProspective small molecule therapeutics are often solubility challenged when injected into whole blood at elevated concentrations for toxicology studies. C_LIO_LIImproved in-vitro solubility measurements in a flowing system are needed to better understand in-vivo intravenous precipitation C_LIO_LIOSPREY is a novel in-vitro flow-through system that quantifies solubility in whole blood C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=88 SRC="FIGDIR/small/530827v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@15b28b4org.highwire.dtl.DTLVardef@1cd4845org.highwire.dtl.DTLVardef@43d919org.highwire.dtl.DTLVardef@61f978_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

Insights into the role of C3d dimers in B cell activation and Staphylococcal immune evasion

Cleavage of C3 to C3a and C3b plays a central role in the generation of complement-mediated defences. Although the thioester-mediated surface deposition of C3b has been well-studied, fluid-phase dimers of C3 fragments remain largely unexplored. Here we present the first X-ray crystal structures of disulphide-linked human C3d dimers and show they undergo structurally-stabilising N-terminal domain swapping when in complex with the Staphylococcus aureus immunomodulator Sbi. Through binding studies and flow cytometric analyses we uncover the physiologically-relevant roles of these dimers in crosslinking complement receptor 2 and modulating B cell activation to potentially promote anergy. This potential induction of cellular tolerance by C3d dimers could contribute to Sbi-mediated S. aureus immune evasion as well as limit autoreactive immune responses under physiological conditions. Thus, insights gained from our findings could inform the design of novel therapies for autoimmune disorders and enhance our understanding surrounding the importance of complement in the fluid phase.

immunology↗

A hybrid approach for automated mutation annotation of the extended human mutation landscape in scientific literature

As the cost of DNA sequencing continues to fall, an increasing amount of information on human genetic variation is being produced that could help progress precision medicine. However, information about such mutations is typically first made available in the scientific literature, and is then later manually curated into more standardized genomic databases. This curation process is expensive, time-consuming and many variants do not end up being fully curated, if at all. Detecting mutations in the literature is the first key step towards automating this process. However, most of the current methods have focused on identifying mutations that follow existing nomenclatures. In this work, we show that there is a large number of mutations that are missed by using this standard approach. Furthermore, we implement the first mutation annotator to cover an extended mutation landscape, and we show that its F1 performance is the same performance as human annotation (F1 78.29 for manual annotation vs F1 79.56 for automatic annotation).

bioinformatics↗

Exposing the Exposome with Global Metabolomics andCognitive Computing

Concurrent exposure to a wide variety of xenobiotics and their combined toxic effects can play a pivotal role in health and disease, yet are largely unexplored. Investigating the totality of these exposures, i.e. the exposome, and their specific biological effects constitutes a new paradigm for environmental health but still lacks high-throughput, user-friendly technology. We demonstrate the utility of mass spectrometry-based global exposure metabolomics combined with tailored database queries and cognitive computing for comprehensive exposure assessment and the straightforward elucidation of biological effects. The METLIN Exposome database has been redesigned to help identify environmental toxicants, food contaminants and supplements, drugs, and antibiotics as well as their biotransformation products, through its expansion with over 700,000 chemical structures to now include more than 950,000 unique small molecules. More importantly, we demonstrate how the XCMS/METLIN platform now allows for the readout of the biological effect of a toxicant through metabolomic-derived pathway analysis and further, cognitive computing provides a means of assessing the role of a potential toxicant. The presented workflow addresses many of the outstanding methodological challenges current exposome research is facing and will serve to gain a deeper understanding of the impact of environmental exposures and combinatory toxic effects on human health.

epidemiology↗