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An innovative, interdisciplinary platform for the dissection of Pneumocystis, a deadly fungal pathogen of humans

Lead Research Organisation: UNIVERSITY OF EXETER
Department Name: Biosciences

Abstract

The goal of my research project is to enable a vital breakthrough in the study of a major fungal pathogen of humans. Pneumocystis kills hundreds of thousands of people each year, and yet only a few groups are studying this pathogen because, currently, it is not possible to culture it in vitro independently of its host. My goal is to release this major experimental bottleneck by developing, for the first time, in vitro culture methods for Pneumocystis. I will address this using a powerful combination of in silico metabolic modelling and experimental phenotyping. The potential benefits of my project are vast. In addition to providing major insights into the co-evolution of Pneumocystis pathogens with their mammalian hosts, my project will empower the research community, leading, in the longer-term, to dramatic advances in Pneumocystis biology and therapy.

Technical Summary

Pneumocystis jirovecii is an opportunistic pathogen causing life-threatening pneumonia in immunocompromised patients and it colonizes the lungs of healthy infants. The worldwide incidence of Pneumocystis pneumonia exceeds 400,000 cases per year with mortality rates of 20 - 80%. This is a serious problem for developing countries where the population of HIV-infected individuals is over 6 times that in developed countries.
Challenge: The inability to culture Pneumocystis in vitro despite 3 decades of research makes this pathogen uniquely difficult to study. Diagnosis and treatment of Pneumocystis infections has relied primarily on microscopic detection in respiratory specimens. The lack of in vitro culture methods has been recognized as the major obstacle in Pneumocystis research.
Recent genome sequencing has identified a potential explanation for the inability to culture Pneumocystis: it has an extremely reduced genome that lacks essential metabolic pathways. This has prevented growth independently of its mammalian host. Pneumocystis has developed unique dependencies on the host for nutrients as well as highly efficient strategies to evade the host's innate and acquired immune defences. Thus, intimate host-fungus cross-interactions are essential for growth of the pathogen, and simple supplementation of growth media to overcome predicted auxotrophic requirements has not been sufficient to solve the problem.
Principal hypothesis: The metabolic issue is more subtle: the pathogen also relies on the host to maintain redox and/or energy homeostasis.
Innovative approach to resolve this issue: I will develop an in silico metabolic model of Pneumocystis growth and metabolism based on new genomic data.
Outcomes: This work will release a critical bottleneck in Pneumocystis research, and provide major insights into the co-evolution of Pneumocystis pathogens with their mammalian hosts.
 
Description Ken Haynes Travel Bursary
Amount £500 (GBP)
Organisation University of Exeter 
Sector Academic/University
Country United Kingdom
Start 08/2022 
End 10/2022
 
Description MRC CMM Travel Grant
Amount £400 (GBP)
Organisation University of Exeter 
Sector Academic/University
Country United Kingdom
Start 02/2022 
End 03/2022
 
Description NIHR BRC Exeter Translational Fellowship
Amount £98,170 (GBP)
Organisation National Institute for Health and Care Research 
Sector Public
Country United Kingdom
Start 03/2024 
End 03/2026
 
Description Sub-Saharan African Development Fund
Amount £5,000 (GBP)
Organisation University of Exeter 
Sector Academic/University
Country United Kingdom
Start 03/2023 
End 07/2023
 
Title Mathematical model on Pneumocystis metabolism 
Description As part of the collaboration with Gencovery, I have been beta-testing new, confidential software being developed by Gencovery for metabolic modelling. An access to this new software has helped me to develop a mathematical model on Pneumocystis metabolism. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? No  
Impact Mathematical model on Pneumocystis metabolism allowed us to make predictions regarding the medium conditions favourable for in vitro growth of the pathogen. 
 
Description Collaboration with Cape Town University 
Organisation University of Cape Town
Country South Africa 
Sector Academic/University 
PI Contribution We have provided unique insights into the metabolism of Pneumocystis predicted by the metabolic model we developed.
Collaborator Contribution University of Cape Town provides me with the requisite training in Pneumocystis laboratory and molecular biology - essential skills that I have to develop to execute the project.
Impact University of Cape Town has provided me with the requisite training in Pneumocystis laboratory and molecular biology as well as has helped me to set up the experiments that are essential for my project. The experiments to test and support model's predictions for Pneumocystis murina are currently being executed at the University of Cape Town.
Start Year 2021
 
Description Collaboration with Cincinnati University 
Organisation University of Cincinnati
Country United States 
Sector Academic/University 
PI Contribution We initiated this collaboration to take advantage of metabolomics data from Prof Cushion and Dr Porollo at Cincinnati University.
Collaborator Contribution Cincinnati University is performing metabolomics analysis of the Pneumocystis growth samples, which will enhance our understanding of Pneumocystis nutrient uptake.
Impact No outputs or outcomes impact yet
Start Year 2024
 
Description Collaboration with Duke University (Joseph Heitman) 
Organisation Duke University
Country United States 
Sector Academic/University 
PI Contribution We initiated this collaboration to compare fungal species that are difficult to grow in vitro (e.g. Pneumocystis and Malassezia). I am providing insights into Pneumocystis growth and metabolism.
Collaborator Contribution Joseph Heitman's team at Duke University is providing insights into Malassezia growth and metabolism.
Impact We are working on the manuscript for the review paper to compare and contrast the metabolism and lifestyles of Pneumocystis and Malassezia.
Start Year 2023
 
Description Collaboration with Gencovery on metabolic modelling 
Organisation Gencovery
Country France 
Sector Private 
PI Contribution We have provided unique insights into the biology of Pneumocystis that are essential for our collaborative metabolic modelling, which aims to improve human health worldwide.
Collaborator Contribution Gencovery provides me with the requisite training in bioinformatics, metabolic modelling, and flux balance analysis - essential skills that I have to develop to execute the project. Gencovery provides me with a personalised software to simulate the metabolic model we developed.
Impact Gencovery has provided me with essential training in bioinformatics and metabolic modelling, which has resulted in: 1. A reviewed and refined genome annotation of the Pneumocystis murina genome 2. A reconstructed network on Pneumocystis murina metabolism 3. A developed mathematical model on Pneumocystis murina metabolism 4. Predictions regarding the culture medium conditions favourable for Pneumocystis murina growth in vitro
Start Year 2020
 
Description Collaboration with Imperial College London 
Organisation Imperial College London
Country United Kingdom 
Sector Academic/University 
PI Contribution We initiated this collaboration and are providing samples of spent Pneumocystis growth medium for metabolomic analysis at Imperial College London.
Collaborator Contribution Imperial College London is going to perform metabolomics analysis of the Pneumocystis growth samples we are providing, which will enhance our understanding of Pneumocystis nutrient uptake.
Impact No outputs or outcomes impact yet
Start Year 2023
 
Description Collaboration with Liverpool University 
Organisation University of Liverpool
Country United Kingdom 
Sector Academic/University 
PI Contribution We initiated this collaboration and are providing datasets generated by our Pneumocystis modelling.
Collaborator Contribution Liverpool University is developing a machine learning approach to optimize our metabolic modelling predictions.
Impact A machine learning approach developed by Liverpool University helped to optimize our metabolic model's predictions.
Start Year 2022
 
Description Collaboration with Prof Alistair Brown's group (Exeter University) 
Organisation University of Exeter
Country United Kingdom 
Sector Academic/University 
PI Contribution I provide valuable expertise in mathematical modelling to help study the effects of fungal growth on the exposure of pathogen-associated molecular patterns and host immune recognition.
Collaborator Contribution Prof Alistair Brown's group (Exeter University) provides experimental data for modelling.
Impact We have combined modelling and experimental approaches to study the effects of fungal growth on the exposure of pathogen-associated molecular patterns and host immune recognition.
Start Year 2023
 
Description Collaboration with Tulane University on Pneumocystis 
Organisation Tulane University
Country United States 
Sector Academic/University 
PI Contribution A unique opportunity to work on the project which aims to improve human health worldwide has been provided.
Collaborator Contribution RNA-Seq data has kindly been provided by my partner at Tulane, which contributed to my process of reviewing and refining the genome annotation for Pneumocystis murina
Impact RNA-Seq data has been provided, which contributed to the process of reviewing and refining the genome annotation for Pneumocystis murina.
Start Year 2020
 
Description British science festival 2023 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact General public attended British Science Festival, which raised an interest in Medical Mycology, sparked questions and discussion, and increased interest and awareness in related subject areas.
Year(s) Of Engagement Activity 2023
URL https://britishsciencefestival.org/
 
Description Exeter Centre for Mathematical Sciences Workshop: Exploring Boundaries to Cross-Disciplinary Collaborations 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Other audiences
Results and Impact I have been invited to speak at a University of Exeter workshop to a diverse audience of academics and students about my cross-disciplinary experiences, illustrating how boundary crossing fosters deeper engagement and collaboration among different fields, with the potential to spark larger future events and strengthened interdisciplinary relationships.
Year(s) Of Engagement Activity 2024
 
Description STEM Beyond Boundaries 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Schools
Results and Impact Female students attended for a school visit to the research organisation, where my talk was to inspire young female students and encourage them to pursue STEM careers.
Year(s) Of Engagement Activity 2023
URL https://emps.exeter.ac.uk/stem-beyond/