Samantha Donnellan
samantha donnellan

Dr Samantha Donnellan

Lecturer

Biography

Dr Donnellan has a BSc (Hons) in Medical Biochemistry from the University of Glasgow and an MSc from the University of Edinburgh.

Samantha's PhD at Heriot Watt University/Moredun Research Institute was to develop a rapid, low cost assay suitable for screening the anti-mycobacterial properties of nanoparticles (NPs) against mycobacteria. Solid drug NPs (SDNs) of the first line TB antibiotics were developed and screened in the assay and compared to conventional antibiotics. Additionally, the efficacy of the SDNs was monitored intracellularly (within a mycobacterium infected macrophage) and imaged to determine whether these particles co-localised with the mycobacteria.

Before joining Edinburgh Napier, Samantha worked at The Liverpool School of Tropical Medicine (LSTM). In 2020 she was a Key Worker in the fight against coronavirus through scientific research, working in drug discovery.

Samantha is an FSA Scientific Advisor (Committee on Toxicology), Fellow of the Higher Education Academy and a Fellow of the Winston Churchill Memorial Trust. Samantha won LSTMs Director Catalyst Fund, allowing her to gain specialist training in South Africa (Molecular Mycobacteriology Research Unit at The University of Cape Town) and the USA (Harvard University) to focus on her own research - working with multi-drug resistant TB and developing a microfluidics device for sophisticated, dynamic drug screening.

News

Esteem

Advisory panels and expert committees or witness

  • European Crucible 2022 member

 

Conference Organising Activity

  • CBGH-CAIR networking conference
  • Centre for Biomedicine and Global Health Sandpitt event

 

Invited Speaker

  • Pint of Science
  • International Conference on Translational Nanomedicine (T-NANO) INDIA

 

Media Activity

  • Fame Lab Finalist
  • Interviewee on the BBC
  • TEDx Talk

 

Membership of Professional Body

  • ESCMID Full Member
  • Edinburgh Infectious Diseases Member
  • Fellow of the Higher Education Academy
  • Member of the Royal 麻豆社区 of Biology

 

Public/Community Engagement

  • Cheltenham Science Festival STEM Mentor

 

Visiting Positions

  • Harvard University, USA - visiting researcher
  • Stellenbosch University, South Africa - visiting researcher
  • University of Chester, UK - guest lecturer

 

Date


16 results

A quantitative method for the study of HIV-1 and Mycobacterium tuberculosis co-infection

Presentation / Conference Contribution
Donnellan, S. (2023, June)
A quantitative method for the study of HIV-1 and Mycobacterium tuberculosis co-infection. Poster presented at The 43rd Annual Meeting of the European 麻豆社区 of Mycobacteriology, Tirana, Albania

Do nanomedicines have the potential to combat antimicrobial resistance (AMR)?

Presentation / Conference Contribution
Donnellan, S., Bah, U., & Wheelhouse, N. (2023, April)
Do nanomedicines have the potential to combat antimicrobial resistance (AMR)?. Poster presented at The Microbiology 麻豆社区 Annual Conference, Birmingham

Do nanomedicines have the potential to combat AMR?

Presentation / Conference Contribution
Donnellan, S. (2022, November)
Do nanomedicines have the potential to combat AMR?. Poster presented at World Antibiotic Awareness Week 2022 AMR Showcase, University of Edinburgh, UK

Do nanomedicines have the potential to combat AMR?

Presentation / Conference Contribution
Donnellan, S. (2022, November)
Do nanomedicines have the potential to combat AMR?. Poster presented at AMR Showcase for World Antibiotic Awareness Week, Edinburgh

Remdesivir-ivermectin combination displays synergistic interaction with improved in vitro activity against SARS-CoV-2

Journal Article
Jeffreys, L. N., Pennington, S. H., Duggan, J., Caygill, C. H., Lopeman, R. C., Breen, A. F., 鈥iagini, G. A. (2022)
Remdesivir-ivermectin combination displays synergistic interaction with improved in vitro activity against SARS-CoV-2. International Journal of Antimicrobial Agents, 59(3), Article 106542. https://doi.org/10.1016/j.ijantimicag.2022.106542
A key element for the prevention and management of COVID-19 is the development of effective therapeutics. Drug combination strategies of repurposed drugs offer several advanta...

Measurement of the Intracellular Mycobacterium tuberculosis Drug Effect and Prediction of the Clinical Dose鈥揜esponse Relationship Using Intracellular Pharmacodynamic Modeling (PDi)

Book Chapter
Donnellan, S., Mart铆nez-Rodr铆guez, C., Aljayyoussi, G., & Biagini, G. A. (2021)
Measurement of the Intracellular Mycobacterium tuberculosis Drug Effect and Prediction of the Clinical Dose鈥揜esponse Relationship Using Intracellular Pharmacodynamic Modeling (PDi). In C. Barreiro, & J. Barredo (Eds.), Antimicrobial Therapies: Methods and Protocols (393-408). New York: Humana Press. https://doi.org/10.1007/978-1-0716-1358-0
The human disease tuberculosis (TB) is the leading cause of death from a single infectious agent. A quarter of the world鈥檚 population is estimated to be latently infected. Dru...

Intracellular Pharmacodynamic Modeling Is Predictive of the Clinical Activity of Fluoroquinolones against Tuberculosis

Journal Article
Donnellan, S., Aljayyoussi, G., Moyo, E., Ardrey, A., Martinez-Rodriguez, C., Ward, S. A., & Biagini, G. A. (2020)
Intracellular Pharmacodynamic Modeling Is Predictive of the Clinical Activity of Fluoroquinolones against Tuberculosis. Antimicrobial Agents and Chemotherapy, 64(1), https://doi.org/10.1128/aac.00989-19
Clinical studies of new antitubercular drugs are costly and time-consuming. Owing to the extensive tuberculosis (TB) treatment periods, the ability to identify drug candidates...

Nanomedicines towards targeting intracellular Mtb for the treatment of tuberculosis

Journal Article
Donnellan, S., & Giardiello, M. (2019)
Nanomedicines towards targeting intracellular Mtb for the treatment of tuberculosis. Journal of Interdisciplinary Nanomedicine, 4(3), 76-85. https://doi.org/10.1002/jin2.61
Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), causes the most human deaths than any other diseases from a single infectious agent. Treatments are long and cos...

Intracellular PD Modelling (PDi) for the Prediction of Clinical Activity of Increased Rifampicin Dosing

Journal Article
Aljayyoussi, G., Donnellan, S., Ward, S. A., & Biagini, G. A. (2019)
Intracellular PD Modelling (PDi) for the Prediction of Clinical Activity of Increased Rifampicin Dosing. Pharmaceutics, 11(6), https://doi.org/10.3390/pharmaceutics11060278
Increasing rifampicin (RIF) dosages could significantly reduce tuberculosis (TB) treatment durations. Understanding the pharmacokinetic-pharmacodynamics (PK鈥揚D) of increasing ...

Clinical Validation of Intracellular Pharmacodynamic based modelling for the prediction of Fluoroquinolone activity against TB

Presentation / Conference Contribution
Donnellan, S. (2018, July)
Clinical Validation of Intracellular Pharmacodynamic based modelling for the prediction of Fluoroquinolone activity against TB. Presented at The 39th Congress of the European 麻豆社区 of Mycobacteriology, Dresden, Germany

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