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Discovery of novel bacterial metabolites reveals an unprecedented role for the microbiome in gut-brain axis communication., Alterations to the gut microbiome are associated with various neurological diseases, yet evidence of causality and identity of microbiome-derived compounds that mediate gut-brain axis interaction remain elusive. Here, we identify two previously unknown bacterial metabolites 3-methyl-4-(trimethylammonio)butanoate and 4-(trimethylammonio)pentanoate, structural analogs of carnitine that are present in both gut and brain of specific pathogen–free mice but absent in germ-free mice. We demonstrate that these compounds are produced by anaerobic commensal bacteria from the family Lachnospiraceae (Clostridiales) family, colocalize with carnitine in brain white matter, and inhibit carnitine-mediated fatty acid oxidation in a murine cell culture model of central nervous system white matter. This is the first description of direct molecular inter-kingdom exchange between gut prokaryotes and mammalian brain cells, leading to inhibition of brain cell function.

Understanding the biodistribution, metabolism and accumulation of drugs in the body is a fundamental of pharmaceutical research and development. Mass Spectrometry imaging (MSI) has been proven to be a powerful tool to image the unlabelled spatial distribution of exogenous drugs and endogenous metabolites from the surface of tissue sections or small clinical biopsies, aiding the delivery of safe and effective medicines to the market and ultimately benefiting patients. Here we review the current advancements in MSI sample preparation, qualitative and quantitative MSI methodology and drug discovery and development applications. MSI is shown to be supporting R&D from early target identification through to the clinic. In conclusion, we discuss future directions of the technology and the hurdles that need addressing to strengthen its status in multimodal imaging.

High dimensionality omics and hyperspectral imaging datasets present difficult challenges for feature extraction and data mining due to huge numbers of features that cannot be simultaneously examined. The sample numbers and variables of these methods are constantly growing as new technologies are developed, and computational analysis needs to evolve to keep up with growing demand. Current state of the art algorithms can handle some routine datasets but struggle when datasets grow above a certain size. We present a training deep learning via neural networks on non-linear dimensionality reduction, in particular t-distributed stochastic neighbour embedding (t-SNE), to overcome prior limitations of these methods.One Sentence SummaryAnalysis of prohibitively large datasets by combining deep learning via neural networks with non-linear dimensionality reduction.

A new tissue sample embedding and processing method is presented that provides downstream compatibility with numerous different histological, molecular biology, and analytical techniques. The methodology is based on the low temperature embedding of fresh frozen specimens into a hydrogel matrix composed of hydroxypropyl methylcellulose (HPMC) and polyvinylpyrrolidone (PVP) and sectioning using a cryomicrotome. The hydrogel was expected not to interfere with standard tissue characterization methods, histologically or analytically. We assessed the compatibility of this protocol with various mass spectrometric imaging methods including matrix-assisted laser desorption ionization (MALDI), desorption electrospray ionization (DESI) and secondary ion mass spectrometry (SIMS). We also demonstrated the suitability of the universal protocol for extraction based molecular biology techniques such as rt-PCR. The integration of multiple analytical modalities through this universal sample preparation protocol offers the ability to study tissues at a systems biology level and directly linking results to tissue morphology and cellular phenotype.

BackgroundThe gut microbiota is known to influence virtually all facets of human health. Recent work has highlighted a potential role for the gut microbiota in neurological health through the microbiome-gut-brain axis. Microbes can influence the brain both directly and indirectly; through neurotransmitter production, induction of host immunomodulators, or through the release or induction of other microbial or host molecules.MethodsHere we used mass spectrometry imaging (MSI), a label-free imaging tool, to map the molecular changes that occur in the murine gut and brain in germ-free, antibiotic-treated and control mice.ResultsWe determined the spatial distribution and relative quantification of neurotransmitters and their precursors across brain and gut sections in response to the microbiome. Using untargeted MSI of small molecules, we detected a significant change in the levels of four identified metabolites in the brains of germ-free animals compared to controls; vitamin B5, 3-hydroxy-3-methylglutaric acid, 3-methyl-4-(trimethylammonio)butanoate and 4-(trimethylammonio)pentanoate. However, antibiotic treatment induced no significant changes in these metabolites in the brain after one week of treatment.ConclusionsThis work exemplifies the utility of MSI as a tool in determining the spatial distribution and quantification of bacterial and host metabolites in the gut and brain whilst also offering the potential for discovery of novel mediators of microbiome-gut-brain axis communication.

We have previously demonstrated liquid extraction surface analysis (LESA) high field asymmetric waveform ion mobility spectrometry (FAIMS) mass spectrometry imaging of proteins in thin tissue sections of brain and liver. Here, we present an improved approach that makes use of multiple static FAIMS parameters at each sampled location and allows a significant improvement in the number of proteins, lipids, and drugs that can be imaged simultaneously. The approach is applied to the mass spectrometry imaging of control and cassette-dosed rat kidneys. Mass spectrometry imaging of kidneys typically requires washing to remove excess hemoglobin; however, that is not necessary with this approach. Multistep static FAIMS mass spectrometry resulted in a 6- to 16-fold increase in the number of proteins detected in the absence of FAIMS, in addition to smaller increases over single step static FAIMS (chosen for optimum transmission of total protein ions). The benefits of multistep static FAIMS mass spectrometry for protein detection are also shown for sections of testes. The numbers of proteins detected following multistep FAIMS increased between 2- and 3-fold over single step FAIMS and between 2- and 14-fold over LESA alone. Finally, to date, LESA mass spectrometry of proteins in tissue has been undertaken solely on fresh frozen samples. In this work, we demonstrate that heat-preserved tissues are also suitable for these analyses. Heat preservation of tissue improved the number of proteins detected by LESA MS for both kidney and testes tissue (by between 2- and 4-fold). For both tissue types, the majority of the proteins additionally detected in the heat-treated samples were subsequently detected in the frozen samples when FAIMS was incorporated. Improvements in the numbers of proteins detected were observed for LESA FAIMS MS for the kidney tissue; for testes tissue, fewer total proteins were detected following heat preservation; however, approximately one-third were unique to the heat-preserved samples.

Direct analyte probed nanoextraction (DAPNe) is a technique that allows extraction of drug and endogenous compounds from a discrete location on a tissue sample using a nano capillary filled with solvent. Samples can be extracted from a spot diameters as low as 6 µm. Studies previously undertaken by our group have shown that the technique can provide good precision (5%) for analysing drug molecules in 150 µm diameter areas of homogenised tissue, provided an internal standard is sprayed on to the tissue prior to analysis. However, without an isotopically labelled standard, the repeatability is poor, even after normalisation to and the spot area or matrix compounds. By application to tissue homogenates spiked with drug compounds, we can demonstrate that it is possible to significantly improve the repeatability of the technique by incorporating a liquid chromatography separation step. Liquid chromatography is a technique for separating compounds prior to mass spectrometry (LC-MS) which enables separation of isomeric compounds that cannot be discriminated using mass spectrometry alone, as well as reducing matrix interferences. Conventionally, LC-MS is carried out on bulk or homogenised samples, which means analysis is essentially an average of the sample and does not take into account discrete areas. This work opens a new opportunity for spatially resolved liquid chromatography mass spectrometry with precision better than 20%.

Described is a quantitative-mass-spectrometryimaging\ud (qMSI) methodology for the analysis of lactate and\ud glutamate distributions in order to delineate heterogeneity\ud among mouse tumor models used to support drug-discovery\ud efficacy testing. We evaluate and report on preanalysisstabilization\ud methods aimed at improving the reproducibility\ud and efficiency of quantitative assessments of endogenous\ud molecules in tissues. Stability experiments demonstrate that\ud optimum stabilization protocols consist of frozen-tissue\ud embedding, post-tissue-sectioning desiccation, and storage at\ud −80 °C of tissue sections sealed in vacuum-tight containers.\ud Optimized stabilization protocols are used in combination with qMSI methodology for the absolute quantitation of lactate and\ud glutamate in tumors, incorporating the use of two different stable-isotope-labeled versions of each analyte and spectral-clustering\ud performed on each tissue section using k-means clustering to allow region-specific, pixel-by-pixel quantitation. Region-specific\ud qMSI was used to screen different tumor models and identify a phenotype that has low lactate heterogeneity, which will enable\ud accurate measurements of lactate modulation in future drug-discovery studies. We conclude that using optimized qMSI\ud protocols, it is possible to quantify endogenous metabolites within tumors, and region-specific quantitation can provide valuable\ud insight into tissue heterogeneity and the tumor microenvironment.

Absolute quantification of proteins in tissue is important for numerous fields of study. Liquid chromatography–mass spectrometry (LC–MS) methods are the norm but typically involve lengthy sample preparation including tissue homogenization, which results in the loss of information relating to spatial distribution. Here, we propose liquid extraction surface analysis (LESA) mass spectrometry (MS) of stable isotope labeled mimetic tissue models for the spatially resolved quantification of intact ubiquitin in rat and mouse brain tissue. Measured ubiquitin concentrations are in agreement with values found in the literature. Images of rat and mouse brain tissue demonstrate spatial variation in the concentration of ubiquitin and demonstrate the utility of spatially resolved quantitative measurement of proteins in tissue. Although we have focused on ubiquitin, the method has the potential for broader application to the absolute quantitation of any endogenous protein or protein-based drug in tissue.

Background Immune checkpoint blockade (ICB) promotes adaptive immunity and tumor regression in some cancer patients. However, in patients with immunologically “cold” tumors, tumor-resident innate immune cell activation may be required to prime an adaptive immune response and so exploit the full potential of ICB. Whilst Toll-like receptor (TLR) agonists have been used topically to successfully treat some superficial skin tumors, systemic TLR agonists have not been well-tolerated. Methods The response of human immune cells to TLR7 and 8 agonism was measured in primary human immune cell assays. MEDI9197 (3M-052) was designed as a novel lipophilic TLR7/8 agonist that is retained at the injection site, limiting systemic exposure. Retention of the TLR7/8 agonist at the site of injection was demonstrated using quantitative whole-body autoradiography, HPLC-UV, and MALDI mass spectrometry imaging. Pharmacodynamic changes on T cells from TLR7/8 agonist treated B16-OVA tumors was assessed by histology, quantitative real time PCR, and flow cytometry. Combination activity of TLR7/8 agonism with immunotherapies was assessed in vitro by human DC-T cell MLR assay, and in vivo using multiple syngeneic mouse tumor models. Results Targeting both TLR7 and 8 triggers an innate and adaptive immune response in primary human immune cells, exemplified by secretion of IFNα, IL-12 and IFNγ. In contrast, a STING or a TLR9 agonist primarily induces release of IFNα. We demonstrate that the TLR7/8 agonist, MEDI9197, is retained at the sight of injection with limited systemic exposure. This localized TLR7/8 agonism leads to Th1 polarization, enrichment and activation of natural killer (NK) and CD8+ T cells, and inhibition of tumor growth in multiple syngeneic models. The anti-tumor activity of this TLR7/8 agonist is enhanced when combined with T cell-targeted immunotherapies in pre-clinical models. Conclusion Localized TLR7/8 agonism can enhance recruitment and activation of immune cells in tumors and polarize anti-tumor immunity towards a Th1 response. Moreover, we demonstrate that the anti-tumor effects of this TLR7/8 agonist can be enhanced through combination with checkpoint inhibitors and co-stimulatory agonists. Electronic supplementary material The online version of this article (10.1186/s40425-019-0724-8) contains supplementary material, which is available to authorized users.

The microbiome-gut-brain (MGB) axis is a bi-directional route of communication that exists between the brain and the microbes that reside in the gut. The MGB axis is becoming of increasing importance as significant alterations in the gut microbiota are now linked to numerous neurological conditions, however, little is currently known about the microbiome derived mediators of communication. Here we used mass spectrometry imaging (MSI), a label free imaging technique, to identify bacterial products that cross the blood brain barrier in specific pathogen free (SPF) mice. We identified two bacterial molecules abundant in white matter regions of the murine that were absent in the brain and gut in germ free (GF) mice. We have identified the primary gut microbial producers of these metabolites to be members of the Lachnospiraceae family. Both molecules were found to be structurally similar to carnitine and localise with carnitine in the SPF mouse brain. Using a primary murine cell culture model of the central nervous system white matter we show that these molecules are capable of significantly impairing mitochondrial basal respiration. Given their systemic presence in the mouse and their presence in human biological samples, these metabolites may have significant implications for diseases associated with mitochondrial dysfunction and an altered gut microbiota. These results are the first to describe a direct molecular inter-kingdom communication between prokaryotes and the mammalian brain that can facilitate functional inhibition in mammalian brain cells.

Mass spectrometry imaging (MSI) provides pharmaceutical researchers with a suite of technologies to screen and assess compound distributions and relative abundances directly from tissue sections and offer insight into drug discovery-applicable queries such as blood-brain barrier access, tumor penetration/retention, and compound toxicity related to drug retention in specific organs/cell types. Label-free MSI offers advantages over label-based assays, such as quantitative whole-body autoradiography (QWBA), in the ability to simultaneously differentiate and monitor both drug and drug metabolites. Such discrimination is not possible by label-based assays if a drug metabolite still contains the radiolabel. Here, we present data exemplifying the advantages of MSI analysis. Data of the distribution of AZD2820, a therapeutic cyclic peptide, are related to corresponding QWBA data. Distribution of AZD2820 and two metabolites is achieved by MSI, which [(14)C]AZD2820 QWBA fails to differentiate. Furthermore, the high mass-resolving power of Fourier transform ion cyclotron resonance MS is used to separate closely associated ions.

Background and Purpose11-hydroxysteroid dehydrogenase type I (11-HSD1), a target for Type 2 diabetes mellitus, converts inactive glucocorticoids into bioactive forms, increasing tissue concentratio ...

Colistin and polymyxin B are effective treatment options for Gram-negative resistant bacteria but are used as last-line therapy due to their dose-limiting nephrotoxicity. A critical factor in developing safer polymyxin analogues is understanding accumulation of the drugs and their metabolites, which is currently limited due to the lack of effective techniques for analysis of these challenging molecules. Mass spectrometry imaging (MSI) allows direct detection of targets (drugs, metabolites, and endogenous compounds) from tissue sections. The presented study exemplifies the utility of MSI by measuring the distribution of polymyxin B1, colistin, and polymyxin B nonapeptide (PMBN) within dosed rat kidney tissue sections. The label-free MSI analysis revealed that the nephrotoxic compounds (polymyxin B1 and colistin) preferentially accumulated in the renal cortical region. The less nephrotoxic analogue, polymyxin B nonapeptide, was more uniformly distributed throughout the kidney. In addition, metabolites of the dosed compounds were detected by MSI. Kidney homogenates were analyzed using LC/MS/MS to determine total drug exposure and for metabolite identification. To our knowledge, this is the first time such techniques have been utilized to measure the distribution of polymyxin drugs and their metabolites. By simultaneously detecting the distribution of drug and drug metabolites, MSI offers a powerful alternative to tissue homogenization analysis and label or antibody-based imaging.

The inhibition of 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) is a potentially attractive mechanism for the treatment of obesity and other elements of the metabolic syndrome. A series of pyrazolo-pyrimidine inhibitors of this enzyme were identified from directed library synthesis. Knowledge of how these compounds bind to the enzyme and the key hydrogen-bonding interactions was used to design further compounds. The hydrogen-bond acceptor strength was calculated from the molecular electrostatic potential using quantum mechanical theory. Compounds were designed to modulate the acceptor strength, thus optimising the potency and other drug-like properties. Compounds with enhanced CNS penetration were designed through further modification of the electrostatic potential and the hydrogen-bond properties.

11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) has been widely considered by the pharmaceutical industry as a target to treat metabolic syndrome in type II diabetics. We hypothesized that central nervous system (CNS) penetration might be required to see efficacy. Starting from a previously reported pyrimidine compound, we removed hydrogen-bond donors to yield 3, which had modest CNS penetration. More significant progress was achieved by changing the core to give 40, which combines good potency and CNS penetration. Compound 40 was dosed to diet-induced obese (DIO) mice and gave excellent target engagement in the liver and high free exposures of drug, both peripherally and in the CNS. However, no body weight reduction or effects on glucose or insulin were observed in this model. Similar data were obtained with a structurally diverse thiazole compound 51. This work casts doubt on the hypothesis that localized tissue modulation of 11β-HSD1 activity alleviates metabolic syndrome.

The enzyme 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) is a target for novel type 2 diabetes and obesity therapies based on the premise that lowering of tissue glucocorticoids will have positive effects on body weight, glycemic control, and insulin sensitivity. An 11β-HSD1 inhibitor (compound C) inhibited liver 11β-HSD1 by >90% but led to only small improvements in metabolic parameters in high-fat diet (HFD)–fed male C57BL/6J mice. A 4-fold higher concentration produced similar enzyme inhibition but, in addition, reduced body weight (17%), food intake (28%), and glucose (22%). We hypothesized that at the higher doses compound C might be accessing the brain. However, when we developed male brain-specific 11β-HSD1 knockout mice and fed them the HFD, they had body weight and fat pad mass and glucose and insulin responses similar to those of HFD-fed Nestin-Cre controls. We then found that administration of compound C to male global 11β-HSD1 knockout mice elicited improvements in metabolic parameters, suggesting “off-target” mechanisms. Based on the patent literature, we synthesized another 11β-HSD1 inhibitor (MK-0916) from a different chemical series and showed that it too had similar off-target body weight and food intake effects at high doses. In summary, a significant component of the beneficial metabolic effects of these 11β-HSD1 inhibitors occurs via 11β-HSD1–independent pathways, and only limited efficacy is achievable from selective 11β-HSD1 inhibition. These data challenge the concept that inhibition of 11β-HSD1 is likely to produce a “step-change” treatment for diabetes and/or obesity.

Liquid extraction surface analysis mass spectrometry imaging (LESA-MSI) has been shown to be an effective tissue profiling and imaging technique, producing robust and reliable qualitative distribution images of an analyte or analytes in tissue sections. Here, we expand the use of LESA-MSI beyond qualitative analysis to a quantitative analytical technique by employing a mimetic tissue model previously shown to be applicable for MALDI-MSI quantitation. Liver homogenate was used to generate a viable and molecularly relevant control matrix for spiked drug standards which can be frozen, sectioned and subsequently analyzed for the generation of calibration curves to quantify unknown tissue section samples. The effects of extraction solvent composition, tissue thickness and solvent/tissue contact time were explored prior to any quantitative studies in order to optimize the LESA-MSI method across several different chemical entities. The use of a internal standard to normalize regional differences in ionization response across tissue sections was also investigated. Data are presented comparing quantitative results generated by LESA-MSI to LC-MS/MS. Subsequent analysis of adjacent tissue sections using DESI-MSI is also reported.

The pharmacokinetics and biotransformation of midazolam were investigated following single oral doses of 0.1, 1 and 10 mg/kg to chimeric mice with humanised livers (PXB mice) and to severe combined immunodeficient (SCID) mice used as controls. Pharmacokinetic analysis, on whole blood, revealed rapid absorption of the administered midazolam with a higher C(max) in PXB compared to SCID. The exposure to 1'-hydroxymidazolam was approximately 14-fold greater than to midazolam in the SCID mice and close to equivalent in the PXB mice. The metabolism of midazolam in SCID mice was faster than in the PXB mice such that pharmacokinetic data for midazolam in SCID mice could not be generated from the lowest dose in these animals. Both oxidative and conjugative metabolic pathways were identified in the PXB mice. All the major circulating metabolites observed in humans; 1'-hydroxymidazolam, 4'-hydroxymidazolam, 1',4'-dihydroxymidazolam and 1'-hydroxymidazolam glucuronide, were detected in the blood of PXB mice. However, 4'-hydroxymidazolam and the 1'-hydroxymidazolam glucuronide were not detected in blood samples obtained from SCID mice. The midazolam metabolite profile in the PXB mouse was similar to that previously reported for human suggesting that the PXB mouse model can provide a model system for predicting circulating human metabolites.

A simple, rapid and robust high-throughput assay for the quantitative analysis of metformin in plasma from different species using laser diode thermal desorption interfaced with atmospheric chemical pressure ionization tandem mass spectrometry (LDTD-APCI-MSMS) was developed for use in a pharmaceutical discovery environment. In order to minimize sample preparation a generic protein precipitation method was used to extract metformin from the plasma. Laser diode thermal desorption is a relatively new sample introduction method, the optimization of the instrumental parameters are presented. The method was successfully applied to spiked mouse, rat, dog and human plasma samples and was subsequently used to determine the oral pharmacokinetics of metformin after dosing to male rats in order to support drug discovery projects. The deviations for intra-assay accuracy and precision across the four species were less than 30% at all calibration and quality control levels.

Methylenedioxymethamphetamine (MDMA) was investigated in cryopreserved human hepatocytes as a time-dependent inactivator (TDI) of CYP2D6 using dextromethorphan (DEX) as a probe substrate. Inhibition kinetic parameters k(inact), the maximal rate of inactivation, and K(I), the inhibitor concentration at half the maximal activation rate, were determined. Time- and concentration-dependent inhibition were confirmed, and the influence of different elements of study design (e.g. cell number, stability of hepatocytes, dilution after preincubation) on estimated kinetic parameters were evaluated. Dilution factors (DF) of 1.2, 5 or total removal of inhibitor (by washing cells after preincubation, WR) resulted in k(inact) and K(I) (+/-S.E.) values of 0.02+/-0.002 min(-1) and 0.88+/-0.31 microM, 0.01+/-0.001 min(-1) and 1.23+/-0.70 microM, and 0.01+/-0.001 min(-1) and 2.10+/-1.32 microM, respectively; indicating that insufficient dilution may lead to overestimation of CYP2D6 inactivation. Accounting for MDMA depletion during the preincubation, corrected K(I) values were significantly lower (0.11+/-0.05 microM, 0.15+/-0.09 microM, 0.24+/-0.16 microM for DF of 1.2, 5, and WR, respectively). Inactivation efficiency in hepatocytes, as measured by k(inact)/K(I), was 10-fold less than that previously reported in human liver microsomes or recombinantly expressed systems. Possible causes for the observed differences between in vitro systems warrant further investigation. These may include differences in metabolic consumption of MDMA in each system, non-specific binding and presence of active efflux in hepatocytes.

Liquid extraction surface analysis mass spectrometry (LESA-MS) is a surface sampling technique that incorporates liquid extraction from the surface of tissue sections with nanoelectrospray mass spectrometry. Traditional tissue analysis techniques usually require homogenization of the sample prior to analysis via high-performance liquid chromatography mass spectrometry (HPLC-MS), but an intrinsic weakness of this is a loss of all spatial information and the inability of the technique to distinguish between actual tissue penetration and response caused by residual blood contamination. LESA-MS, in contrast, has the ability to spatially resolve drug distributions and has historically been used to profile discrete spots on the surface of tissue sections. Here, we use the technique as a mass spectrometry imaging (MSI) tool, extracting points at 1 mm spatial resolution across tissue sections to build an image of xenobiotic and endogenous compound distribution to assess drug blood-brain barrier penetration into brain tissue. A selection of penetrant and "nonpenetrant" drugs were dosed to rats via oral and intravenous administration. Whole brains were snap-frozen at necropsy and were subsequently sectioned prior to analysis by matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) and LESA-MSI. MALDI-MSI, as expected, was shown to effectively map the distribution of brain penetrative compounds but lacked sufficient sensitivity when compounds were marginally penetrative. LESA-MSI was used to effectively map the distribution of these poorly penetrative compounds, highlighting its value as a complementary technique to MALDI-MSI. The technique also showed benefits when compared to traditional homogenization, particularly for drugs that were considered nonpenetrant by homogenization but were shown to have a measurable penetration using LESA-MSI.

Cassette dosing of compounds for preclinical drug plasma pharmacokinetic analysis has been shown to be a powerful strategy within the pharmaceutical industry for increasing throughput while decreasing the number of animals used. Presented here for the first time is data on the application of a cassette dosing strategy for label-free tissue distribution studies. The aim of the study was to image the spatial distribution of eight nonproprietary drugs (haloperidol, bufuralol, midazolam, clozapine, terfenadine, erlotinib, olanzapine, and moxifloxacin) in multiple tissues after oral and intravenous cassette dosing (four compounds per dose route). An array of mass spectrometry imaging technologies, including matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI MSI), liquid extraction surface analysis tandem mass spectrometry (LESA-MS/MS), and desorption electrospray ionization mass spectrometry (DESI-MS) was used. Tissue analysis following intravenous and oral administration of discretely and cassette-dosed compounds demonstrated similar relative abundances across a range of tissues indicating that a cassette dosing approach was applicable. MALDI MSI was unsuccessful in detecting all of the target compounds; therefore, DESI MSI, a complementary mass spectrometry imaging technique, was used to detect additional target compounds. In addition, by adapting technology used for tissue profiling (LESA-MS/MS) low spatial resolution mass spectrometry imaging (∼1 mm) was possible for all targets across all tissues. This study exemplifies the power of multiplatform MSI analysis within a pharmaceutical research and development (R&D) environment. Furthermore, we have illustrated that the cassette dosing approach can be readily applied to provide combined, label-free pharmacokinetic and drug distribution data at an early stage of the drug discovery/development process while minimizing animal usage.

Inhibition of 11β-HSD1 is viewed as a potential target for the treatment of obesity and other elements of the metabolic syndrome. We report here the optimization of a carboxylic acid class of inhibitors from AZD4017 (1) to the development candidate AZD8329 (27). A structural change from pyridine to pyrazole together with structural optimization led to an improved technical profile in terms of both solubility and pharmacokinetics. The extent of acyl glucuronidation was reduced through structural optimization of both the carboxylic acid and amide substituents, coupled with a reduction in lipophilicity leading to an overall increase in metabolic stability.

11β-HSD1 is increasingly seen as an attractive target for the treatment of type II diabetes and other elements of the metabolic syndrome. In this program of work we describe how a series of neutral 2-thioalkyl-pyridine 11β-HSD1 inhibitors were optimized in terms of their pharmacokinetic properties to give compounds with excellent bioavailability in both rat and dog through a core change to pyrimidine. A potential reactive metabolite issue with 4-thioalkyl-pyrimidines was circumvented by a switch from sulfur to carbon substitution.

Background: Laser diode thermal desorption (LDTD) is a relatively new sample introduction interface for MS. Analysis times are short as the technique does not require time-consuming separation steps, such as conventional HPLC, thus saving on the use of organic solvents, modifiers and cost, relating to their subsequent disposal. This paper compares the merits of LDTD–APCI-MS/MS and LC–MS/MS for the analysis of paracetamol (acetaminophen) in plasma from different species. Results: LDTD–APCI-MS/MS compared favorably with our existing high-throughput generic LC–MS/MS method giving improved data quality. LDTD–APCI-MS/MS assay performance in terms of accuracy and precision in mouse, rat and dog plasma were within our local acceptance criteria (±30%). Run times were reduced approximately tenfold, while saving approximately 200 ml of solvent per 96-well plate. Conclusion: A rapid, sensitive and robust assay is reported. The method was successfully used for the analysis of spiked mouse, rat and dog plasma samples and the determination of oral pharmacokinetics. Reductions in electrical power and reagent consumption position LDTD as an environmentally ‘green’ bioanalytical method.

Inhibition of 11β-HSD1 is an attractive mechanism for the treatment of obesity and other elements of the metabolic syndrome. We report here the discovery of a nicotinic amide derived carboxylic acid class of inhibitors that has good potency, selectivity, and pharmacokinetic characteristics. Compound 11i (AZD4017) is an effective inhibitor of 11β-HSD1 in human adipocytes and exhibits good druglike properties and as a consequence was selected for clinical development.

Procedures for drug monitoring based on Dried Blood Spot (DBS) sampling are gaining acceptance for an increasing number of clinical and preclinical applications, where ease of use, small sample requirement, and improved sample stability have been shown to offer advantages over blood tube sampling. However, to-date, the vast majority of this work has described the analysis of well characterized drugs. Using amitriptyline, clozapine, and their potentially labile N-oxide metabolites as model compounds, we consider the merits of using DBS for discovery pharmacokinetic (PK) studies where the metabolic fate of test compounds are often unknown. Both N-oxide metabolites reverted to parent compound under standard drying (2hr) and extraction conditions. Card type significantly affected the outcome, with 14% and 22% degradation occurring for clozapine-N-oxide and amitriptyline-N-oxide on a brand of untreated DBS cards, compared to 59 and 88% on a brand of treated DBS cards. Enrichment of the parent compound ex vivo leads to overestimation of circulating blood concentration and inaccurate determination of the PK profile.

A simple, rapid and robust high-throughput assay for the simultaneous analysis of metformin and sitagliptin from mouse and human dried blood spot samples using laser diode thermal desorption interfaced with atmospheric pressure chemical ionization tandem mass spectrometry (LDTD-APCI-MS/MS) was developed for use in a pharmaceutical discovery environment as an alternative to traditional plasma analysis. Analytes were extracted from dried blood spots using a simple punch disc and solvent extract procedure. Details of the method development and optimization of the instrumental parameters are presented. The method was successfully applied to spiked mouse and human dried blood spot samples. Analyte stability was determined in dried blood spots on FTA cards and as extracts of dried blood spots. The method was subsequently used to determine the oral pharmacokinetics of metformin and sitagliptin after dosing to male mice. Metformin and Sitagliptin results are compared to data generated by more traditional liquid chromatography-mass spectrometry methods. Intra-assay and inter-assay accuracy and precision across the analytes and species deviated by less than 30% at all calibration levels and less than 20% at all quality control levels.

John G Swales, Gary Wilkinson, Richard Gallagher, Clare Hammond, Charles O’Donnell, Raimund PeterAstraZeneca, Discovery Drug Metabolism and Pharmacokinetics, CVGI Research Area, Alderley Park, Macclesfield, Cheshire, UKAbstract: High performance liquid chromatography with electrospray ionization tandem mass spectrometry (LC/ESI-MS/MS) has been utilized to produce fully open access (OA) quantitative systems. The systems described have the ability to optimize the mass spectrometer analysis method, stack these optimizations, create the mass spectrometry analytical methods and automatically process data for reporting. An in-house, Microsoft® Excel-based sample list generator in conjunction with two manufacturers’ OA software packages have been implemented and are used exclusively for all in vivo and in vitro drug metabolism and pharmacokinetic assays within the department. We demonstrate that the OA systems have had a positive effect on the average turnaround times of all assays by utilizing the mass spectrometer time more effectively and by minimizing instrument downtime. Turnaround times have been monitored for 17 months post implementation of the OA systems as part of a Lean Six Sigma efficiency optimization project, and data are presented that support a sustained improvement throughout this period.Keywords: open access, DMPK, quantitation, bioanalysis, discovery

AZD1152HQPA Accurin is a passively targeted nanoparticle containing the active metabolite of the Aurora B kinase prodrug AZD1152. In preclinical studies, AZD1152HQPA Accurin displays reduced bone marrow toxicity associated with AZD1152 together with increases in anti-tumour activity. Nanoparticles are proposed to enable delivery and retention of drug to the tumour thereby increasing efficacy and modifying therapeutic index. While it is possible to demonstrate increased duration of modulation of pharmacodynamic biomarkers and drug exposure by nanoparticle delivery, directly demonstrating that nanoparticles accumulate in the tumour is challenging. To investigate the intra tumoural distribution of AZD1152HQPA Accurin nanoparticles we have employed mass spectrometry techniques to image samples derived from human colorectal cancer SW620 studies in rats. We have separately identified the nanoparticle itself, drug encapsulated in nanoparticle, and drug released from nanoparticle; the latter by detecting a metabolite that is only generated from released drug. First MALDI (matrix assisted laser desorption ionization) which offers 20 μm spatial resolution, was used to detect AZD1152-hQPA (released and encapsulated). Second LESA (liquid extraction surface analysis), which offers 1000 μm spatial resolution, was used to detect drug and metabolite, enabling co-distribution to be demonstrated. Finally DESI (desorption electrospray ionization) which offers 100 μm spatial resolution was used to detect drug, metabolite and nanoparticle constituent showing the co-distribution in more detail. Using this combination of approaches it is possible to demonstrate the presence of nanoparticle-delivered AZD1152HQPA metabolite in the tumour at extended timepoints; co-located with nanoparticle and unchanged (encapsulated) drug. At these time points no drug remains if delivered as a simple IV infusion. Collectively this imaging mass spectrometry analysis demonstrates AZD1152HQPA Accurin accumulation in pre-clinical tumours and confirms that the Accurin accesses the tumour and achieves sustained drug release within the tumour. Citation Format: Richard Goodwin, John Swales, Anna Nilsson, Per Andren, Nicola Strittmatter, Zoltan Takats, Colin Howes, Paula Taylor, Susan Ashton, Philip Jewsbury, Simon T. Barry. Imaging AZD1152HQPA Accurin™ nanoparticle accumulation in preclinical tumors. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3678. doi:10.1158/1538-7445.AM2015-3678

Inhibition of 11β-HSD1 is viewed as a potential target for the treatment of obesity and other elements of the metabolic syndrome. We report here the optimisation of a carboxylic acid class of inhibitors from AZD4017 (1) to the development candidate AZD6925 (11). A central aim of this optimisation campaign was the modulation of clearance mechanism to reduce the extent of acyl glucuronidation. This was achieved by modulation of the acid substructure together with a redistribution of lipophilicity in order to achieve the desired profile.