Liu, Ziyue, Guo, Wensheng · Statistics in medicine · 2015 · DOI
This study developed a new statistical method to measure hormonal patterns in ME/CFS and fibromyalgia patients compared to healthy people. Researchers focused on ACTH, a stress hormone that naturally rises and falls throughout the day in waves. They found that the daily rhythm of this hormone was similar between patients and healthy controls, but patients' hormone pulses were weaker and less frequent.
Understanding hormone dysregulation in ME/CFS is critical for elucidating disease pathophysiology. This study's novel statistical approach enables more precise detection of subtle abnormalities in hormonal pulsatility that may have been missed by conventional analysis methods, potentially revealing mechanistic targets for future therapeutic intervention.
This study does not establish causality or whether reduced ACTH pulsatility contributes to symptom generation versus representing an epiphenomenon. The cross-sectional design cannot determine whether these hormonal changes precede disease onset or result from chronic illness. Results also cannot explain the functional consequences of weaker hormone pulses for patient health.
About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →
The first block is for the primary paper and is the citation you should use in research work. The atlas-snapshot line only applies if you are specifically referring to this atlas’s reading of the paper on the date shown.
Primary citation
Liu, Ziyue & Guo, Wensheng (2015). Modeling diurnal hormone profiles by hierarchical state space models.. Statistics in medicine. https://doi.org/10.1002/sim.6579
BibTeX
@article{mecfsatlas-liu-2015-modeling-diurnal,
author = {Liu, Ziyue and Guo, Wensheng},
title = {Modeling diurnal hormone profiles by hierarchical state space models.},
journal = {Statistics in medicine},
year = {2015},
doi = {10.1002/sim.6579},
note = {PubMed: 26152819},
url = {https://www.mecfsatlas.com/evidence/liu-2015-modeling-diurnal},
}Atlas snapshot reference
ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-05-28. https://www.mecfsatlas.com/evidence/liu-2015-modeling-diurnal
Contribute
Private, reviewed by a human. Not a public comment thread.