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AI Tool Maps Gut Microbiome to Diagnose Chronic Fatigue Syndrome

The study reached 90% diagnostic accuracy by integrating gut bacteria profiles with immune response and metabolic data

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A researcher at the Jackson Laboratory working on examining biological markers to identify chronic fatigue syndrome

Overview

  • A Nature Medicine paper reports that BioMapAI analyzed stool, blood and clinical tests from 249 participants to distinguish ME/CFS patients with 90% accuracy.
  • Patients with chronic fatigue syndrome showed markedly reduced levels of butyrate and other gut-derived metabolites vital for energy production and inflammation control.
  • Immune cell profiling emerged as the strongest predictor of overall symptom severity, whereas microbiome measures closely tracked emotional distress and sleep disturbances.
  • The identification of objective biomarkers could shift ME/CFS diagnosis away from exclusion-based methods and lay the groundwork for personalized interventions.
  • Shared microbial and immune signatures between ME/CFS and long Covid highlight overlapping mechanisms and point to broader applications for multi-omics diagnostic platforms.