3D Chromatin Mapping Links Fatigue Genes Across Long COVID, ME/CFS, PTSD, RA and MS via Shared Regulatory Networks

The computational study integrated published genome-wide association data for long COVID, PTSD, rheumatoid arthritis and multiple sclerosis with prior 3D chromatin contact maps from ME/CFS patients. Orion detected higher-order folding interactions that routed apparently unrelated genetic variants into the same downstream modules governing inflammatory signaling, oxidative phosphorylation and stress-axis regulation. Absolute overlap at the gene level remained low, yet network enrichment scores converged on five core biological systems previously implicated in separate fatigue literatures.

This architecture explains why disparate triggers—SARS-CoV-2, trauma, autoimmunity—converge on indistinguishable exhaustion phenotypes. Prior linear-sequence analyses missed these connections because they examined only proximity along the DNA strand rather than spatial contacts that control transcription. The findings align with independent reports of mitochondrial dysfunction in both long COVID and ME/CFS and with epigenetic signatures reported in PTSD cohorts, suggesting a common final pathway rather than disease-specific causes.

Next steps require prospective validation in new patient cohorts with uniform phenotyping and longitudinal sampling to test whether the identified chromatin hubs predict treatment response. Interventional trials targeting shared nodes, such as mitochondrial support or IL-6 signaling, should measure fatigue severity with validated scales and include healthy controls to establish specificity and effect sizes.