Modelling the dynamic interaction of systemic inflammation and the hypothalamic–pituitary–adrenal (HPA) axis during and after cardiac surgery

Author:

Galvis Daniel1ORCID,Zavala Eder1ORCID,Walker Jamie J.23,Upton Thomas2ORCID,Lightman Stafford L.2ORCID,Angelini Gianni D.4ORCID,Evans Jon5,Rogers Chris A.5,Phillips Kirsty6,Gibbison Ben7ORCID

Affiliation:

1. Centre for Systems Modelling and Quantitative Biomedicine (SMQB), University of Birmingham, Edgbaston B15 2TT, UK

2. Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, University of Bristol, Bristol BS1 3NY, UK

3. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QD, UK

4. Bristol Heart Institute, Bristol Medical School, University of Bristol, Bristol BS1 3NY, UK

5. Bristol Trials Centre, Bristol Medical School, University of Bristol, Bristol BS2 8HW, UK

6. Department of Pathology, University Hospitals Bristol NHS Foundation Trust, Bristol BS2 8HW, UK

7. Department of Anaesthesia, Bristol Medical School, University of Bristol, Bristol BS2 8HW, UK

Abstract

Major surgery and critical illness produce a potentially life-threatening systemic inflammatory response. The hypothalamic–pituitary–adrenal (HPA) axis is one of the key physiological systems that counterbalances this systemic inflammation through changes in adrenocorticotrophic hormone (ACTH) and cortisol. These hormones normally exhibit highly correlated ultradian pulsatility with an amplitude modulated by circadian processes. However, these dynamics are disrupted by major surgery and critical illness. In this work, we characterize the inflammatory, ACTH and cortisol responses of patients undergoing cardiac surgery and show that the HPA axis response can be classified into one of three phenotypes: single-pulse, two-pulse and multiple-pulse dynamics. We develop a mathematical model of cortisol secretion and metabolism that predicts the physiological mechanisms responsible for these different phenotypes. We show that the effects of inflammatory mediators are important only in the single-pulse pattern in which normal pulsatility is lost—suggesting that this phenotype could be indicative of the greatest inflammatory response. Investigating whether and how these phenotypes are correlated with clinical outcomes will be critical to patient prognosis and designing interventions to improve recovery.

Funder

Engineering and Physical Sciences Research Council

British Heart Foundation

NIHR Bristol Biomedical Research Centre

Medical Research Council

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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