A mechanistic investigation into the emergent functional dynamics of the HPA axis

Lead Research Organisation: University of Exeter
Department Name: Mathematics

Abstract

Rhythmic or oscillating activity is everywhere in nature and is absolutely fundamental to our own physiology. Some bodily rhythms are very obvious to us, such as the beating of our heart and our daily sleep-wake cycle, but the vast majority of rhythmic processes inside the body are not so obvious. When these oscillations change in some way or become disrupted, this can have major consequences for our well-being. Examples of this include the emergence of abnormal rhythms in brain activity that can be seen in patients suffering from epilepsy or Parkinson's disease.

Hormonal signalling is governed by rhythmic activity with many hormones following a daily cycle. A good example of this is the vital steroid hormone cortisol, one of the most important hormones that enables us to respond rapidly and appropriately to stressful situations. Cortisol levels are low during periods of rest (sleep) but increase early in the morning to prepare the body for daily activity. In addition to this daily rhythm, we now know that levels of cortisol are actually oscillating much more rapidly every hour or so throughout the day, with larger pulses occurring in the morning.

Recent research has demonstrated that cortisol oscillations are critical for healthy bodily function as they control the activity of many important genes and ensure that the body is in an ideal state to respond to stress. Remarkably, patients undergoing hormone replacement or steroid therapy for inflammatory or malignant disease are typically still being exposed to constant levels of potent, long-acting, synthetic steroids. This pattern of delivery was developed before the importance of cortisol pulsatility became clear, and may well limit efficacy of treatment as well as contribute to the very high levels of side effects associated with the long-term use of synthetic steroids.

Exposure to early-life stress or excessively large or prolonged periods of stress can substantially disrupt cortisol oscillations. This in turn has major consequences for regions of the brain that control our behaviour and also increases susceptibility to many diseases. Given that stress and stress-related illness are rapidly-increasing features of modern society, it is crucial that we gain a deeper understanding of how the body regulates the dynamic pattern of cortisol production. In my research, I am employing mathematical modelling approaches in combination with state-of-the-art experimental technologies to address a number of key questions: How are cortisol rhythms generated? What changes occur in the body that lead to the abnormal rhythms we see in disease? What consequences do these disrupted rhythms have for our physiological and mental well-being? Can abnormal rhythms be "normalised"? Providing answers to these questions will not only transform our understanding of cortisol signalling in both health and disease, but will also be important for developing novel treatment strategies in the clinic that take into account timing of hormone delivery to patients undergoing long-term steroid therapy.

Technical Summary

The major hormonal system that enables a rapid response to stressors is the hypothalamic-pituitary-adrenal (HPA) axis. This complex neuroendocrine system regulates the secretion of vital glucocorticoid hormones (CORT), and a critical aspect of its function is an ultradian oscillation in hormone release. These oscillations in blood CORT levels are paralleled in the brain; thus neurons throughout the CNS are exposed to this dynamic signal. In hippocampal cells, for example, these rapid changes in CORT levels induce bursts of transcriptional activity and enhance glutamate transmission via non-genomic mechanisms.

Alterations in these oscillations are associated with a wide variety of physiological and pathological conditions, including chronic stress, but the reasons for these dynamic changes are poorly understood. The aim of my research proposal is to characterise the fundamental mechanisms that regulate the ultradian oscillation; and the changes that occur in the oscillation when these mechanisms break down. To achieve this, I will use an integrative approach, combining mathematical modelling with in vitro cellular imaging approaches and in vivo experimental physiology, which will enable me to study the dynamics of the system at multiple scales, and to understand the key mechanism underpinning the oscillatory activity of the system. Elucidating these mechanisms will not only help to realise normal physiological function, but will also help to understand why these dynamics change in disease; leading to the development of, or protection from, pathological consequences.

Planned Impact

This Impact Summary contains details of who will benefit from my CDA and how they will do so.

In the short-term (1-5 years):

* My research team and direct collaborators will benefit through the launch of my new multidisciplinary research laboratory at the University of Exeter, which will integrate experimental imaging techniques with mathematical modelling approaches. In collaborating with an internationally leading biomedical research laboratory within the Institute of Functional Genomics (IFG), Montpellier, France, I will also facilitate knowledge sharing between the Universities of Exeter and Bristol and the IFG.

* The broader international biomedical research community will benefit from my CDA through the organisation of an international BioDynamics workshop, which will provide a forum for multidisciplinary presentations, interactions and discussion. They will gain further benefit though the continued development of our own MRC-funded web-based forum (www.bio-dynamics.org), which acts as an online hub connecting the biomedical community, and through me presenting my research findings at national and international conferences, and publishing my work in high-impact biomedical journals.

* Patients and the general public will also benefit, through both access to an online learning 'hub' (www.bio-dynamics.org) that I will continue to run with my collaborators, and the opportunity to attend a Public Understanding Event aimed at members of the public and patients who are affected by stress-related disorders or pathologies of the stress axis.

* Other beneficiaries include NC3Rs, who may be able to use my approach as a case study to illustrate how mathematical approaches can help to reduce the number of animals required in research, and the MRC, who will be able to use my research to highlight the potential of using predictive modelling to understand important questions about physiological regulation. This in turn may encourage more clinical scientists to establish collaborations with theoretical scientists.

In the medium term (5-10 years): clinicians managing HPA disorders may benefit by using my theoretical approaches to guide the decisions made in clinic, for example, through the development of mathematical models of the systems generating clinical observables, and the tools for exploring these mechanisms directly from clinical observables. Commercial-sector pharmaceuticals could also use my research to plan clinical trials to include data-derived prognostic biomarkers using findings from my research to either develop their own generative models, or pre-existing ones that I and others have developed. Further, my experimental data should accelerate the development of novel chronologically discrete methods of drug administration that more naturally mimic the body's own production of glucocorticoids, which will improve efficacy and decrease side effects from glucocorticoid administration.

In the long term (10+ years), my research will have an impact on patients with clinical disorders. I believe that an improved understanding of the mechanisms underlying normal HPA regulation and signalling will provide more rational treatment for patients, resulting in improvements to the health and quality of life of patients, reducing mortality and morbidity. The research contained within my proposal may ultimately provide the opportunity not only for improved diagnosis of adrenal hypo- and hyper-function, but also for improved therapy both for patients needing glucocorticoid replacement and for patients needing higher-dose glucocorticoid therapy for inflammatory or malignant conditions.

Publications

10 25 50
 
Description Transition Support Grant
Amount £269,943 (GBP)
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 10/2023 
End 09/2024
 
Description Adrenal dynamics project 
Organisation University of Exeter
Department College of Engineering, Mathematics & Physical Sciences
Country United Kingdom 
Sector Academic/University 
PI Contribution General project planning and discussion. Guidance on mathematical modelling of steroid synthesis and secretion mechanisms in adrenal cells.
Collaborator Contribution Mathematical modelling (University of Exeter) and complimentary in vivo experimentation (University of Bristol).
Impact Publication in PNAS (doi: 10.1073/pnas.1703779114 ). Multi-disciplinary (mathematics and biology).
Start Year 2016
 
Description Characterising the interplay between cortisol and cytokine dynamics in response to cardiac surgery 
Organisation University of Bristol
Country United Kingdom 
Sector Academic/University 
PI Contribution Providing expert advice on analysis of dynamic hormone/cytonkine data.
Collaborator Contribution Clinical partners providing data from patients undergoing heart surgery. Additionally, theoretical partners from the University of Birmingham are providing numerical analysis skills. As part of this we are collaborating with an artist to highlight the ideas behind our research to the general public.
Impact Publication in J. R. Soc. Interface (doi: 10.1098/rsif.2021.0925). Multi-disciplinary (mathematics, biology).
Start Year 2020
 
Description Studying the effect of feeding patterns on hormonal dynamics 
Organisation Cardiff University
Country United Kingdom 
Sector Academic/University 
PI Contribution Analysis of dynamic hormonal data using numerical methods.
Collaborator Contribution Designing and performing experiments and providing data for analysis.
Impact Publication in J Nutr. (doi: 10.1093/jn/nxz116). Multi-disciplinary (mathematics, biology).
Start Year 2017
 
Description The role of channel stochasticity in regulating the electrical activity of endocrine pituitary cells 
Organisation University of Exeter
Department Medical School
Country United Kingdom 
Sector Academic/University 
PI Contribution Modelling ion channel stochasticity in pituitary cell models and designing associated electrophysiological experiments to test model predictions.
Collaborator Contribution Modelling ion channel stochasticity in pituitary cell models and designing associated electrophysiological experiments to test model predictions.
Impact Publication in PLoS Comput Biol (doi: 10.1371/journal.pcbi.1007769). Multi-disciplinary (mathematics, biology).
Start Year 2016
 
Description Understanding links between reproductive and stress systems 
Organisation King's College London
Country United Kingdom 
Sector Academic/University 
PI Contribution Modelling expertise to characterise the dynamic interplay between the stress and reproductive neuroendocrine axes.
Collaborator Contribution Providing biological expertise to develop models as well as experimental data to calibrate models; experimental testing of modelling predictions.
Impact Publication in Frontiers in Physiology (doi: 10.3389/fphys.2020.598845). Multi-disciplinary (mathematics, biology).
Start Year 2019
 
Description Understanding synergy and heterogeneity in corticotroph calcium responses to CRH and AVP 
Organisation University of Edinburgh
Country United Kingdom 
Sector Academic/University 
PI Contribution Designing and analysing mathematical models of corticotroph cell signalling pathways.
Collaborator Contribution Supplying experimental data to calibrate models as well as biological expertise.
Impact Publication in Endocrinology (doi: 10.1210/en.2017-00107). Multi-disciplinary (mathematics, biology).
Start Year 2016
 
Description BioDynamics 2016 Workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Co-organised the BioDynamics 2016 Workshop, which took place in Exeter on 7-9 September 2016. This was the third in a series of international workshops designed to bring together biologists, mathematicians, clinicians, physicists, and computer scientists who are interested in dynamics and networks in the biological and medical sciences. BioDynamics 2016 provided an exciting opportunity for scientists to present both methods and data in a multidisciplinary forum and hear how interdisciplinary collaborations can provide major conceptual advances in our understanding of complex biomedical systems.
Year(s) Of Engagement Activity 2016
 
Description Patient/public-engagement workshop - Hormone Dynamics in Pituitary and Adrenal Disorders 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Patients, carers and/or patient groups
Results and Impact This was a patient/public-engagement workshop that was organised together with the Pituitary Foundation and the Addison's Disease Self-Help Group. The goal was to bring together patients, clinicians, and scientific researchers, and establish a dialogue about the importance of hormone dynamics, how our research contributes to understand this dynamics, and about future research projects aimed at improving and designing novel clinical interventions.
Year(s) Of Engagement Activity 2017
 
Description Scientific Conference - British Neuroscience Association (BNA) 2019, Dublin, Ireland. 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Large international neuroscience conference. Our data was presented at this meeting, and I developed contacts and potential collaborations with industrial companies who were displaying their products at the conferences.
Year(s) Of Engagement Activity 2019
URL https://meetings.bna.org.uk/bna2019/
 
Description Scientific conference - 21st European Congress of Endocrinology 2019, Lyon, France. 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact The postdoctoral research fellow working under this award gave a scientific presentation about imaging techniques. This led to a review paper being invited, which is currently being prepared for publication.
Year(s) Of Engagement Activity 2019
URL https://www.endocrine-abstracts.org/ea/0063/ECE2019AbstractBook.pdf