A System Theoretic Investigation of Cortisol Dysregulation in Fibromyalgia Patients With Chronic Fatigue
Abstract
Fibromyalgia Syndrome (FMS) and Chronic Fatigue Syndrome (CFS) are complex medical conditions with similar symptoms such as anxiety, fatigue, depression, headaches, muscle aches and joint pain. The etiology of both these syndromes is unknown. The objective of this study is to characterize FMS, both in the presence and in the absence of CFS, by analyzing variations in cortisol secretion patterns, timings, amplitudes, and the number of the underlying pulses as well as infusion and clearance rates. The comparison is performed against matched healthy control subjects. We estimate the hormonal secretory events by deconvolving cortisol data using a two-step coordinate descent approach. The first step implements a sparse recovery approach to infer the amplitudes and the timings of the cortisol secretion events from limited cortisol hormone data. The main advantage of this method is estimating the cortisol secretory events using a system theoretic approach. The second step is to estimate the physiological system parameters (i.e. infusion and clearance rates). This approach has been verified on healthy individuals previously. Our results show that the clearance rate of cortisol by the liver is relatively lower in patients as compared to the matched healthy individuals. This suggests that there is a relatively higher accumulation of serum cortisol in patients when compared to matched healthy subjects.
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The proposed architecture has been previously verified for cortisol in healthy subjects and in patients with chronic fatigue and fibromyalgia syndromes.
“The proposed architecture has been previously verified for cortisol in healthy subjects and also on patients suffering from chronic fatigue and fibromyalgia syndromes (32–34).”
From Sparse System Identification of Leptin Dynamics in Women With Obesity (2022) · cites this paper as [34]
Because the approach had been previously examined for cortisol data in different studies, it was not validated on simulated data.
“As this approach has been previously examined for cortisol data in different studies, we do not validate it on simulated data (33, 34, 38).”
From Sparse System Identification of Leptin Dynamics in Women With Obesity (2022) · cites this paper as [34]
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Sparse System Identification of Leptin Dynamics in Women With Obesity
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- Authors
- Pednekar, D. D., Amin, M. R., Azgomi, H. F., Aschbacher, K., Crofford, L. J., & Faghih, R. T.
- Affiliations
- University of Houston (US)
- University of California, San Francisco (US)
- Vanderbilt University (US)
- Venue
- 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Publisher
- IEEE
- Published
- 2019-07
- Volume
- 12
- Pages
- 6896-6901
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W2980273939
- Cited by
- 16
- References
- 29
- Citations by year
- 2025: 1 · 2023: 6 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 4
- FWCI
- 6.58
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Fibromyalgia and Chronic Fatigue Syndrome Research
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adrenal Hormones and Disorders
- Keywords
- fibromyalgia, chronic fatigue syndrome, cortisol secretion, deconvolution, sparse signal recovery, coordinate descent, infusion rate, clearance rate, system identification
- MeSH terms
- Depression, Fibromyalgia, Humans, Hydrocortisone, Fatigue Syndrome, Chronic
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