Selective Energy Dysfunction Hypothesis Research Materials

The Selective Energy Dysfunction Hypothesis (see Chapter Energy Metabolism and Mitochondrial Function Section Selective Energy Dysfunction: The CNS-Dependency Hypothesis and Chapter Entries added 2026-08-26: Central Motor-Drive Fatigability Cascade (Bedard 2026) Section Multi-Modal Testing of Selective Energy Dysfunction Hypothesis) is accompanied by six research deliverables, outlined below, designed to facilitate hypothesis testing and clinical translation.

1 Patient Assessment Tools

Hair and Nail Health Survey. A comprehensive 649-line survey instrument designed to test the prediction that autonomous peripheral processes (hair/nail growth) are preserved in ME/CFS while CNS-dependent processes are impaired. The survey includes:

  • Demographics and disease characteristics stratified by Bell Scale severity
  • Hair health assessment (growth rate, thickness, quality, loss patterns)
  • Nail health assessment (growth rate, quality, appearance)
  • Correlation tracking with disease activity changes
  • Confounder screening (nutrition, medications, hormones)

Target population: 200 ME/CFS patients (50 each severity level) + 100 healthy controls + 100 disease controls

Expected outcomes: Hair/nail growth rates should be statistically equivalent to controls despite severe functional impairment, providing objective evidence for selective (not global) dysfunction.

PEM Self-Tracking Protocol. A patient-friendly protocol for tracking Post-Exertional Malaise patterns to test the prediction that PEM severity correlates with CNS involvement in the triggering activity. Features dual-mode design:

  • Simple mode: 3 data points (activity type, PEM occurrence, severity) for patients with severe brain fog
  • Detailed mode: Activity categorization by CNS involvement, PEM severity across 5 dimensions, timeline tracking

Key prediction: Cognitive exertion (pure CNS) should cause more severe PEM than passive activities (minimal CNS demand).

Data collection period: 4–8 weeks for preliminary pattern identification

2 Existing Dataset Analysis

An inventory of 8 major ME/CFS datasets that could test hypothesis predictions without requiring new data collection:

  • NIH Intramural Study (Walitt 2024): Deep phenotyping with brain imaging, autonomic testing, exercise physiology (n=17; highest priority for collaboration)
  • 2-Day CPET Databases: Multiple studies testing demand-response failure (100s of patients; immediate meta-analysis possible)
  • Van Campen Autonomic Studies: CBF during orthostatic challenge (n=400+; replicates demand-response pattern)
  • UK Biobank ME/CFS Cohort: Large-scale genetic and activity data (n=1,600; established access process)

Contains: Dataset inventory table, prediction-to-dataset mapping, feasibility assessment, contact information for data access

3 Proposed Research Studies

Multi-Modal Hypothesis Testing Study. A comprehensive research proposal (integrated into Chapter Entries added 2026-08-26: Central Motor-Drive Fatigability Cascade (Bedard 2026)) testing 5 core predictions with n=72 participants (36 ME/CFS + 36 controls) over 3 years. See Section Multi-Modal Testing of Selective Energy Dysfunction Hypothesis for full study protocol.

Budget: $2.15M total

Funding targets: NIH R01, Solve M.E. Initiative, Open Medicine Foundation

Review Article Outline. A 9-section outline for a comprehensive review article presenting the Selective Energy Dysfunction Hypothesis to the ME/CFS research community. Target journals: Frontiers in Neurology, Journal of Translational Medicine.

Length: 8,000–10,000 words with 7 figures, 7 tables, 150–200 references

Key sections: Evidence review (preserved vs. impaired processes), mechanistic models, testable predictions, clinical implications, research agenda

4 Treatment Translation

Brain-Centric Treatment Protocol. [PLANNED] An evidence-based treatment protocol translating the Selective Energy Dysfunction Hypothesis into clinical practice. All recommendations are PRELIMINARY and require physician review before implementation.

Core intervention categories:

  • Brain energy support: MCT oil (MODERATE evidence), CoQ10/ubiquinol (MODERATE), creatine (MODERATE-emerging), D-ribose (WEAK)
  • CNS demand reduction: Heart rate-guided pacing, cognitive energy budgeting, sensory load reduction
  • Pharmacological CNS bypass: Midodrine (MODERATE), fludrocortisone (MODERATE), LDN (MODERATE), LDA (WEAK-theoretical)
  • Clinical decision algorithm: Foundation → first-line → second-line → third-line with clear response criteria

Evidence grading: Every intervention labeled as Strong/Moderate/Weak/Theoretical with supporting citations

Safety: Comprehensive drug interaction table, red flags, contraindications included

5 Research Community Access

These supplementary research materials are intended for:

  • Patient advocacy organizations (for survey distribution and protocol testing)
  • ME/CFS researchers (for collaboration on dataset analysis or study implementation)
  • Clinicians (for evidence-based protocol adaptation)
  • Medical students/trainees (for hypothesis-driven research education)

Contact for collaboration. [To be determined based on institutional affiliation]