Segura-Ortiz, Adrián, Giménez-Orenga, Karen, García-Nieto, José et al. · Computers in biology and medicine · 2025 · DOI
Researchers created a new computer tool called BIO-INSIGHT that helps scientists better understand which genes control other genes by analyzing genetic data from patients. They tested this tool on data from people with fibromyalgia, ME/CFS, and both conditions together, and found it could identify different gene patterns specific to each illness. This could help doctors find better ways to diagnose and treat these conditions in the future.
Identifying gene networks specific to ME/CFS, fibromyalgia, and their overlap could reveal biological markers that distinguish these conditions and suggest new therapeutic targets. This computational approach addresses a critical need in ME/CFS research: finding objective biological signatures that could improve diagnosis and guide personalized treatment strategies.
This study demonstrates a methodological improvement in computational gene network inference but does not prove that the identified genes cause ME/CFS or fibromyalgia, nor does it validate that these networks are sufficient for clinical diagnosis. The findings require independent replication in larger, carefully phenotyped patient cohorts and functional validation before clinical application.
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 →
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Primary citation
Segura-Ortiz, Adrián, Giménez-Orenga, Karen, García-Nieto, José, Oltra, Elisa, & Aldana-Montes, José F (2025). Multifaceted evolution focused on maximal exploitation of domain knowledge for the consensus inference of Gene Regulatory Networks.. Computers in biology and medicine. https://doi.org/10.1016/j.compbiomed.2025.110632
BibTeX
@article{mecfsatlas-segura-ortiz-2025-multifaceted-evolution,
author = {Segura-Ortiz, Adrián and Giménez-Orenga, Karen and García-Nieto, José and Oltra, Elisa and Aldana-Montes, José F},
title = {Multifaceted evolution focused on maximal exploitation of domain knowledge for the consensus inference of Gene Regulatory Networks.},
journal = {Computers in biology and medicine},
year = {2025},
doi = {10.1016/j.compbiomed.2025.110632},
note = {PubMed: 40596788},
url = {https://www.mecfsatlas.com/evidence/segura-ortiz-2025-multifaceted-evolution},
}Atlas snapshot reference
ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-05-29. https://www.mecfsatlas.com/evidence/segura-ortiz-2025-multifaceted-evolution
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