You, Mengying, Guo, Wensheng · The annals of applied statistics · 2024 · DOI
This study looked at two stress hormones—ACTH and cortisol—in people with ME/CFS and fibromyalgia compared to healthy controls. Using a new mathematical method to track these hormones over time, researchers found that healthy people show a normal daily rhythm in how these hormones work together, while patients with ME/CFS and fibromyalgia show an irregular, unpredictable pattern instead.
Abnormal hormone regulation is thought to contribute to ME/CFS symptom severity, particularly fatigue and sleep disturbance. This novel statistical method provides a more accurate way to detect and quantify these hormone dysregulation patterns, potentially enabling better understanding of disease mechanisms and monitoring treatment response.
This study demonstrates that circadian hormone dysregulation *exists* in ME/CFS patients but does not establish whether this dysregulation *causes* symptoms or is a secondary consequence of disease. The cross-sectional design prevents determination of causality or longitudinal progression. The method's ability to predict clinical outcomes or guide treatment decisions remains unproven.
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
You, Mengying & Guo, Wensheng (2024). SEMIPARAMETRIC BIVARIATE HIERARCHICAL STATE SPACE MODEL WITH APPLICATION TO HORMONE CIRCADIAN RELATIONSHIP.. The annals of applied statistics. https://doi.org/10.1214/23-aoas1834
BibTeX
@article{mecfsatlas-you-2024-semiparametric-bivariate,
author = {You, Mengying and Guo, Wensheng},
title = {SEMIPARAMETRIC BIVARIATE HIERARCHICAL STATE SPACE MODEL WITH APPLICATION TO HORMONE CIRCADIAN RELATIONSHIP.},
journal = {The annals of applied statistics},
year = {2024},
doi = {10.1214/23-aoas1834},
note = {PubMed: 39372065},
url = {https://www.mecfsatlas.com/evidence/you-2024-semiparametric-bivariate},
}Atlas snapshot reference
ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-05-29. https://www.mecfsatlas.com/evidence/you-2024-semiparametric-bivariate
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