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      In vitro selection of miltefosine resistance in promastigotes of Leishmania donovani from Nepal: genomic and metabolomic characterization

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          Summary

          In this study, we followed the genomic, lipidomic and metabolomic changes associated with the selection of miltefosine (MIL) resistance in two clinically derived Leishmania donovani strains with different inherent resistance to antimonial drugs (antimony sensitive strain Sb‐S; and antimony resistant Sb‐R). MIL‐R was easily induced in both strains using the promastigote‐stage, but a significant increase in MIL‐R in the intracellular amastigote compared to the corresponding wild‐type did not occur until promastigotes had adapted to 12.2 μM MIL. A variety of common and strain‐specific genetic changes were discovered in MIL‐adapted parasites, including deletions at the LdMT transporter gene, single‐base mutations and changes in somy. The most obvious lipid changes in MIL‐R promastigotes occurred to phosphatidylcholines and lysophosphatidylcholines and results indicate that the Kennedy pathway is involved in MIL resistance. The inherent Sb resistance of the parasite had an impact on the changes that occurred in MIL‐R parasites, with more genetic changes occurring in Sb‐R compared with Sb‐S parasites. Initial interpretation of the changes identified in this study does not support synergies with Sb‐R in the mechanisms of MIL resistance, though this requires an enhanced understanding of the parasite's biochemical pathways and how they are genetically regulated to be verified fully.

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          Miltefosine: a review of its pharmacology and therapeutic efficacy in the treatment of leishmaniasis.

          Miltefosine is an alkylphosphocholine drug with demonstrated activity against various parasite species and cancer cells as well as some pathogenic bacteria and fungi. For 10 years it has been licensed in India for the treatment of visceral leishmaniasis (VL), a fatal neglected parasitic disease. It is the first and still the only oral drug that can be used to treat VL and cutaneous leishmaniasis (CL). The standard 28 day miltefosine monotherapy regimen is well tolerated, except for mild gastrointestinal side effects, although its teratogenic potential severely hampers its general use in the clinic and roll-out in national elimination programmes. The pharmacokinetics of miltefosine are mainly characterized by its long residence time in the body, resulting in extensive drug accumulation during treatment and long elimination half-lives. At the moment, different combination therapy strategies encompassing miltefosine are being tested in multiple controlled clinical trials in various geographical areas of endemicity, both in South Asia and East Africa. We here review the most salient pre-clinical and clinical pharmacological aspects of miltefosine, its mechanism of action against Leishmania parasites and other pathogens, and provide a systematic overview of the efficacy and safety data from all clinical trials of miltefosine, either alone or in combination, in the treatment of VL and CL.
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            A generic method for assignment of reliability scores applied to solvent accessibility predictions

            Background Estimation of the reliability of specific real value predictions is nontrivial and the efficacy of this is often questionable. It is important to know if you can trust a given prediction and therefore the best methods associate a prediction with a reliability score or index. For discrete qualitative predictions, the reliability is conventionally estimated as the difference between output scores of selected classes. Such an approach is not feasible for methods that predict a biological feature as a single real value rather than a classification. As a solution to this challenge, we have implemented a method that predicts the relative surface accessibility of an amino acid and simultaneously predicts the reliability for each prediction, in the form of a Z-score. Results An ensemble of artificial neural networks has been trained on a set of experimentally solved protein structures to predict the relative exposure of the amino acids. The method assigns a reliability score to each surface accessibility prediction as an inherent part of the training process. This is in contrast to the most commonly used procedures where reliabilities are obtained by post-processing the output. Conclusion The performance of the neural networks was evaluated on a commonly used set of sequences known as the CB513 set. An overall Pearson's correlation coefficient of 0.72 was obtained, which is comparable to the performance of the currently best public available method, Real-SPINE. Both methods associate a reliability score with the individual predictions. However, our implementation of reliability scores in the form of a Z-score is shown to be the more informative measure for discriminating good predictions from bad ones in the entire range from completely buried to fully exposed amino acids. This is evident when comparing the Pearson's correlation coefficient for the upper 20% of predictions sorted according to reliability. For this subset, values of 0.79 and 0.74 are obtained using our and the compared method, respectively. This tendency is true for any selected subset.
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              The function of cytidine coenzymes in the biosynthesis of phospholipides.

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                Author and article information

                Journal
                Mol Microbiol
                Mol. Microbiol
                10.1111/(ISSN)1365-2958
                MMI
                Molecular Microbiology
                John Wiley and Sons Inc. (Hoboken )
                0950-382X
                1365-2958
                09 February 2016
                March 2016
                : 99
                : 6 ( doiID: 10.1111/mmi.2016.99.issue-6 )
                : 1134-1148
                Affiliations
                [ 1 ]Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde 161 Cathedral Street Glasgow G4 0REUK
                [ 2 ]Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus CambridgeUK
                [ 3 ]College of Science, NUI Galway GalwayIreland
                [ 4 ] Department of Biomedical SciencesInstituut voor Tropische Geneeskunde Nationalestraat AntwerpenBelgium
                [ 5 ] Department of GeneticsUniversity of Cambridge CambridgeUK
                [ 6 ] Department of Biomedical SciencesUniversity of Antwerp Universiteitsplein 1 AntwerpenBelgium
                [ 7 ]BP Koirala Institute of Health Sciences DharanNepal
                [ 8 ]Glasgow Polyomics, University of Glasgow Glasgow
                [ 9 ]Present address: School of Biotechnology, Dublin City University DublinIreland
                Author notes
                [*] [* ]For correspondence. E‐mail k.carter@ 123456strath.ac.uk ; Tel. 0141 548 3823; Fax 0141 552 2562
                [†]

                These authors contributed equally to this manuscript.

                Article
                MMI13291
                10.1111/mmi.13291
                4832254
                26713880
                491bbf30-f46b-4b8a-985a-c12a88d3d028
                © 2015 The Authors. Molecular Microbiology published by John Wiley & Sons Ltd

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 November 2015
                Page count
                Pages: 15
                Funding
                Funded by: FP7 EC Kaladrug‐R project
                Award ID: 222895
                Funded by: Wellcome Trust Sanger Institute
                Award ID: 098051
                Funded by: BBSRC Research Experience Placement
                Award ID: BB/J014540/1
                Funded by: Wellcome Trust and the Royal Society
                Award ID: 101239/Z/13/Z
                Funded by: National Science Foundation
                Award ID: NSF PHY11‐25915
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                mmi13291
                March 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.9.1 mode:remove_FC converted:23.06.2016

                Microbiology & Virology
                Microbiology & Virology

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