Deconvolution of Serum Cortisol Levels by Using Compressed Sensing
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Faghih-2014-Deconvolution of ser.pdf
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Author(s)
Dahleh, Munther A.
Adler, Gail K.
Klerman, Elizabeth B.
Brown, Emery N.
Faghih, Rose Taj
Date Issued
January 2014
Journal
PLoS ONE
Publisher
Public Library of Science
Citation
Faghih, Rose T., Munther A. Dahleh, Gail K. Adler, Elizabeth B. Klerman, and Emery N. Brown. “Deconvolution of Serum Cortisol Levels by Using Compressed Sensing.” Edited by Andrew Wolfe. PLoS ONE 9, no. 1 (January 28, 2014): e85204.
Version
Final published version
Abstract
The pulsatile release of cortisol from the adrenal glands is controlled by a hierarchical system that involves corticotropin releasing hormone (CRH) from the hypothalamus, adrenocorticotropin hormone (ACTH) from the pituitary, and cortisol from the adrenal glands. Determining the number, timing, and amplitude of the cortisol secretory events and recovering the infusion and clearance rates from serial measurements of serum cortisol levels is a challenging problem. Despite many years of work on this problem, a complete satisfactory solution has been elusive. We formulate this question as a non-convex optimization problem, and solve it using a coordinate descent algorithm that has a principled combination of (i) compressed sensing for recovering the amplitude and timing of the secretory events, and (ii) generalized cross validation for choosing the regularization parameter. Using only the observed serum cortisol levels, we model cortisol secretion from the adrenal glands using a second-order linear differential equation with pulsatile inputs that represent cortisol pulses released in response to pulses of ACTH. Using our algorithm and the assumption that the number of pulses is between 15 to 22 pulses over 24 hours, we successfully deconvolve both simulated datasets and actual 24-hr serum cortisol datasets sampled every 10 minutes from 10 healthy women. Assuming a one-minute resolution for the secretory events, we obtain physiologically plausible timings and amplitudes of each cortisol secretory event with R[superscript 2] above 0.92. Identification of the amplitude and timing of pulsatile hormone release allows (i) quantifying of normal and abnormal secretion patterns towards the goal of understanding pathological neuroendocrine states, and (ii) potentially designing optimal approaches for treating hormonal disorders.
MIT Department
Institute for Medical Engineering and Science
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Engineering Systems Division
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
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DOI of Published Version
https://doi.org/10.1371/journal.pone.0085204
