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Dive into the research topics where Colin T. Dollery is active.

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Featured researches published by Colin T. Dollery.


Analytical Chemistry | 2015

Single-Cell Analysis: Visualizing Pharmaceutical and Metabolite Uptake in Cells with Label-Free 3D Mass Spectrometry Imaging.

Melissa K. Passarelli; Carla F. Newman; Peter S. Marshall; Andrew West; Ian S. Gilmore; Josephine Bunch; Morgan R. Alexander; Colin T. Dollery

Detecting metabolites and parent compound within a cell type is now a priority for pharmaceutical development. In this context, three-dimensional secondary ion mass spectrometry (SIMS) imaging was used to investigate the cellular uptake of the antiarrhythmic agent amiodarone, a phospholipidosis-inducing pharmaceutical compound. The high lateral resolution and 3D imaging capabilities of SIMS combined with the multiplex capabilities of ToF mass spectrometric detection allows for the visualization of pharmaceutical compound and metabolites in single cells. The intact, unlabeled drug compound was successfully detected at therapeutic dosages in macrophages (cell line: NR8383). Chemical information from endogenous biomolecules was used to correlate drug distributions with morphological features. From this spatial analysis, amiodarone was detected throughout the cell, with the majority of the compound found in the membrane and subsurface regions and absent in the nuclear regions. Similar results were obtained when the macrophages were doped with amiodarone metabolite, desethylamiodarone. The fwhm lateral resolution measured across an intracellular interface in high lateral resolution ion images was approximately 550 nm. Overall, this approach provides the basis for studying cellular uptake of pharmaceutical compounds and their metabolites on the single cell level.


Bone | 2013

Characterization of the effect of chronic administration of a calcium-sensing receptor antagonist, ronacaleret, on renal calcium excretion and serum calcium in postmenopausal women

Stephen Caltabiano; Colin T. Dollery; Mohammad Hossain; Milena Kurtinecz; John P. Desjardins; Murray J. Favus; Rajiv Kumar; Lorraine A. Fitzpatrick

Ronacaleret is an orally-active calcium-sensing receptor (CaSR) antagonist that has the potential for therapeutic utility in the stimulation of PTH release, notably as a bone anabolic agent comparable to recombinant human PTH(1-34) (rhPTH(1-34)). A recent study has shown that, despite the ability to increase circulating PTH levels in postmenopausal women in a dose-dependent manner, minimal effects of ronacaleret on bone mineral density have been observed. Therefore, the purpose of this study was to characterize the PTH profile as well as calcium metabolism parameters as a marker of PTH biological activity following the administration of ronacaleret or rhPTH(1-34). Administration of ronacaleret led to lower peak levels of PTH than were observed with rhPTH(1-34), however, greater total PTH exposure was observed. Further, chronic administration of either agent was associated with increases in urinary calcium excretion and serum calcium levels, with the magnitude of the changes following ronacaleret significantly greater than that for rhPTH(1-34). The greater magnitude of effects observed with ronacaleret is likely due to the greater total PTH exposure, and is potentially reflective of a state comparable to mild hyperparathyroidism. It is not clear whether the administration of all calcilytics would lead to a similar result, or is due to characteristics specific to ronacaleret.


Nature Methods | 2017

The 3D OrbiSIMS—label-free metabolic imaging with subcellular lateral resolution and high mass-resolving power

Melissa K. Passarelli; Alexander Pirkl; Rudolf Moellers; Dmitry Grinfeld; Felix Kollmer; Rasmus Havelund; Carla F. Newman; Peter S. Marshall; Henrik Arlinghaus; Morgan R. Alexander; Andrew West; Stevan Horning; Ewald Niehuis; Alexander Makarov; Colin T. Dollery; Ian S. Gilmore

We report the development of a 3D OrbiSIMS instrument for label-free biomedical imaging. It combines the high spatial resolution of secondary ion mass spectrometry (SIMS; under 200 nm for inorganic species and under 2 μm for biomolecules) with the high mass-resolving power of an Orbitrap (>240,000 at m/z 200). This allows exogenous and endogenous metabolites to be visualized in 3D with subcellular resolution. We imaged the distribution of neurotransmitters—gamma-aminobutyric acid, dopamine and serotonin—with high spectroscopic confidence in the mouse hippocampus. We also putatively annotated and mapped the subcellular localization of 29 sulfoglycosphingolipids and 45 glycerophospholipids, and we confirmed lipid identities with tandem mass spectrometry. We demonstrated single-cell metabolomic profiling using rat alveolar macrophage cells incubated with different concentrations of the drug amiodarone, and we observed that the upregulation of phospholipid species and cholesterol is correlated with the accumulation of amiodarone.


Microscopy and Microanalysis | 2016

A Novel Hybrid Dual Analyzer SIMS Instrument for Improved Surface and 3D-Analysis

Alexander Pirkl; Rudolf Moellers; Henrik Arlinghaus; Felix Kollmer; Ewald Niehuis; Alexander Makarov; Stevan Horning; Melissa K. Passarelli; Rasmus Havelund; Paulina D. Rakowska; Alan M. Race; Alexander G. Shard; Andrew West; Peter S. Marshall; Carla F. Newman; Morgan R. Alexander; Colin T. Dollery; Ian S. Gilmore

Time-of-flight secondary ion mass spectrometry (TOF-SIMS) is an established, highly sensitive analytical technique for mass spectrometry (MS) imaging applications with a lateral resolution below 100 nm. Elemental and molecular information is obtained by bombarding the surface with a focused primary ion beam and analyzing the generated secondary ions in a TOF mass analyzer. Furthermore 3D imaging is possible by employing a lower energetic quasi DC sputter beam for material removal (sputter cycle) and a short pulsed small spot analysis beam for optimal mass spectral and imaging performance (so-called dual beam mode). Application of this technique for the localization of drugs and their metabolites in drug-doped cells could be used to find regions in which a pharmaceutical compound accumulates. This would be extremely helpful for selection of possible drug candidates in pre-clinical studies, thereby reducing the development costs for new pharmaceutical products. Furthermore surveying biologically relevant molecules, like lipids, in tissue can give valuable information on the molecular fundamentals of diseases and the effects of treatments.


British Journal of Pharmacology | 2014

Lost in Translation (LiT): IUPHAR Review 6.

Colin T. Dollery

Translational medicine is a roller coaster with occasional brilliant successes and a large majority of failures. Lost in Translation 1 (‘LiT1’), beginning in the 1950s, was a golden era built upon earlier advances in experimental physiology, biochemistry and pharmacology, with a dash of serendipity, that led to the discovery of many new drugs for serious illnesses. LiT2 saw the large‐scale industrialization of drug discovery using high‐throughput screens and assays based on affinity for the target molecule. The links between drug development and university sciences and medicine weakened, but there were still some brilliant successes. In LiT3, the coverage of translational medicine expanded from molecular biology to drug budgets, with much greater emphasis on safety and official regulation. Compared with R&D expenditure, the number of breakthrough discoveries in LiT3 was disappointing, but monoclonal antibodies for immunity and inflammation brought in a new golden era and kinase inhibitors such as imatinib were breakthroughs in cancer. The pharmaceutical industry is trying to revive the LiT1 approach by using phenotypic assays and closer links with academia. LiT4 faces a data explosion generated by the genome project, GWAS, ENCODE and the ‘omics’ that is in danger of leaving LiT4 in a computerized cloud. Industrial laboratories are filled with masses of automated machinery while the scientists sit in a separate room viewing the results on their computers. Big Data will need Big Thinking in LiT4 but with so many unmet medical needs and so many new opportunities being revealed there are high hopes that the roller coaster will ride high again.


Analytical Chemistry | 2017

Intracellular Drug Uptake—A Comparison of Single Cell Measurements Using ToF-SIMS Imaging and Quantification from Cell Populations with LC/MS/MS

Carla F. Newman; Rasmus Havelund; Melissa K. Passarelli; Peter S. Marshall; Ian Francis; Andrew West; Morgan R. Alexander; Ian S. Gilmore; Colin T. Dollery

ToF-SIMS is a label-free imaging method that has been shown to enable imaging of amiodarone in single rat macrophage (NR8383) cells. In this study, we show that the method extends to three other cell lines relevant to drug discovery: human embryonic kidney (HEK293), cervical cancer (HeLa), and liver cancer (HepG2). There is significant interest in the variation of drug uptake at the single cell level, and we use ToF-SIMS to show that there is great diversity between individual cells and when comparing each of the cell types. These single cell measurements are compared to quantitative measurements of cell-associated amiodarone for the population using LC/MS/MS and cell counting with flow cytometry. NR8383 and HepG2 cells uptake the greatest amount of amiodarone with an average of 2.38 and 2.60 pg per cell, respectively, and HeLa and Hek 293 have a significantly lower amount of amiodarone at 0.43 and 0.36 pg per cell, respectively. The amount of cell-associated drug for the ensemble population measurement (LC/MS/MS) is compared with the ToF-SIMS single cell data: a similar amount of drug was detected per cell for the NR8383, and HepG2 cells at a greater level than that for the HEK293 cells. However, the two techniques did not agree for the HeLa cells, and we postulate potential reasons for this.


European Journal of Clinical Pharmacology | 2008

The scientific contribution of clinical pharmacology.

Colin T. Dollery

Clinical pharmacology, broadly defined, has played a very substantial part in the transformation of medicine and health over the last 50 years. It has to be broadly defined as much of the early work in drug development, which we would now call clinical pharmacology, was done by scientifically inclined physicians who had never heard of clinical pharmacology as a discipline. As the field evolved, although physicians necessarily retained a leadership role in clinical studies, many of the scientific advances were made by, or in collaboration with, other disciplines, including pharmacy, biochemistry, epidemiology, statistics, imaging, instrumentation and systems engineering and many clinical sub-specialties of medicine. So although this short article is mainly focussed on physician scientists who are trained clinical pharmacologists, it endeavours to give due credit to the many other disciplines involved.


British Journal of Clinical Pharmacology | 2006

Clinical pharmacology – the first 75 years and a view of the future

Colin T. Dollery


Chemical Communications | 2017

High-resolution sub-cellular imaging by correlative NanoSIMS and electron microscopy of amiodarone internalisation by lung macrophages as evidence for drug-induced phospholipidosis

Haibo Jiang; Melissa K. Passarelli; Peter M.G. Munro; Matt R. Kilburn; Andrew West; Colin T. Dollery; Ian S. Gilmore; Paulina D. Rakowska


Analytical Chemistry | 2016

Semiempirical Rules To Determine Drug Sensitivity and Ionization Efficiency in Secondary Ion Mass Spectrometry Using a Model Tissue Sample

Jean-Luc Vorng; Anna M. Kotowska; Melissa K. Passarelli; Andrew West; Peter S. Marshall; Rasmus Havelund; M. P. Seah; Colin T. Dollery; Paulina D. Rakowska; Ian S. Gilmore

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Ian S. Gilmore

National Physical Laboratory

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Melissa K. Passarelli

Pennsylvania State University

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Rasmus Havelund

National Physical Laboratory

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Paulina D. Rakowska

National Physical Laboratory

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Stevan Horning

Thermo Fisher Scientific

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