M
Michael P. Barrett
Researcher at University of Glasgow
Publications - 332
Citations - 15731
Michael P. Barrett is an academic researcher from University of Glasgow. The author has contributed to research in topics: Trypanosoma brucei & Metabolomics. The author has an hindex of 65, co-authored 318 publications receiving 13859 citations. Previous affiliations of Michael P. Barrett include University of Bordeaux & Wellcome Trust.
Papers
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Journal ArticleDOI
Metabolomics Identifies Multiple Candidate Biomarkers to Diagnose and Stage Human African Trypanosomiasis.
Isabel M. Vincent,Rónán Daly,Bertrand Courtioux,Amy M. Cattanach,Sylvain Biéler,Joseph Mathu Ndung'u,Sylvie Bisser,Michael P. Barrett +7 more
TL;DR: In this paper, the authors used metabolomics to probe samples of CSF, plasma and urine from 40 Angolan patients infected with trypanosoma brucei gambiense, at different disease stages.
Journal ArticleDOI
Intravital imaging of a massive lymphocyte response in the cortical dura of mice after peripheral infection by trypanosomes.
Jonathan A. Coles,Elmarie Myburgh,Ryan Ritchie,Alana Hamilton,Jean Rodgers,Jeremy C. Mottram,Michael P. Barrett,James M. Brewer +7 more
TL;DR: It is suggested that the lymphocyte infiltration of the meninges may later contribute to encephalitis, but have no evidence that the dural trypanosomes invade the parenchyma.
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Multimodal Integrated Sensor Platform for Rapid Biomarker Detection
Mohammed A. Al-Rawhani,Srinjoy Mitra,Michael P. Barrett,Sandy Cochran,David R. S. Cumming,Chunxiao Hu,Christos Giagkoulovits,V. F. Annese,Boon Chong Cheah,James Beeley,Srinivas Velugotla,Claudio Accarino,James Grant +12 more
TL;DR: A versatile single complementary metal–oxide–semiconductor chip forming a platform to address personalized needs through on-chip multimodal optical and electrochemical detection that will reduce the number of tests that patients must take is presented.
Journal ArticleDOI
African sleeping sickness
TL;DR: Eflornithine should be the drug of choice for stage 2 disease, but resistance must be monitored.
Journal ArticleDOI
Predictive Computational Models of Substrate Binding by a Nucleoside Transporter
Catharine J. Collar,Mohammed I. Al-Salabi,Mhairi Stewart,Michael P. Barrett,W. David Wilson,Harry P. de Koning +5 more
TL;DR: This model provides insight into P2 transporter interactions with known compounds and contributes to strategies for the design of novel antiparasitic compounds and offers a quantitative and predictive tool for molecular recognition by specific transporters without the need for structural or even primary sequence information of the transport protein.