Iacob, Eli, Light, Alan R, Donaldson, Gary W et al. · Arthritis care & research · 2016 · DOI
Researchers studied blood cell genes from 261 people—including those with ME/CFS, fibromyalgia, depression, and healthy controls—to see if certain genes work together in patterns tied to these conditions. They found four distinct gene clusters, and two of these clusters showed opposite patterns in ME/CFS patients compared to those with depression, suggesting these conditions may involve different biological pathways even when they overlap.
This study identifies distinct biological pathways in ME/CFS that differ from depression, potentially explaining why these often co-occurring conditions require different treatment approaches. Understanding gene expression patterns could eventually enable better patient stratification and more targeted therapeutic development for ME/CFS.
This study does not prove that these gene expression changes cause ME/CFS—it only shows association in a cross-sectional snapshot. The findings cannot identify which genes are drivers versus byproducts of disease, nor can they establish whether these expression patterns persist over time or differ across disease severity levels. The small numbers in some subgroups (e.g., n=15 for FMS-only) limit generalizability of FMS-specific conclusions.
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
Iacob, Eli, Light, Alan R, Donaldson, Gary W, Okifuji, Akiko, Hughen, Ronald W, White, Andrea T, et al. (2016). Gene Expression Factor Analysis to Differentiate Pathways Linked to Fibromyalgia, Chronic Fatigue Syndrome, and Depression in a Diverse Patient Sample.. Arthritis care & research. https://doi.org/10.1002/acr.22639
BibTeX
@article{mecfsatlas-iacob-2016-gene-expression,
author = {Iacob, Eli and Light, Alan R and Donaldson, Gary W and Okifuji, Akiko and Hughen, Ronald W and White, Andrea T and Light, Kathleen C},
title = {Gene Expression Factor Analysis to Differentiate Pathways Linked to Fibromyalgia, Chronic Fatigue Syndrome, and Depression in a Diverse Patient Sample.},
journal = {Arthritis care & research},
year = {2016},
doi = {10.1002/acr.22639},
note = {PubMed: 26097208},
url = {https://www.mecfsatlas.com/evidence/iacob-2016-gene-expression},
}Atlas snapshot reference
ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-05-28. https://www.mecfsatlas.com/evidence/iacob-2016-gene-expression
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