Solving ME/CFS

Open questions

What remains unresolved after re-analysing more than 30 public ME/CFS datasets, and the experiment that would resolve each question.

We re-analysed public genetic, metabolomic, microbiome, immune, proteomic and national registry data, and checked each finding against a cohort in which it was not discovered. Most leads did not replicate. This page covers the ones that did, or that remain untested: what the data show, what is unknown, and the experiment for each.

Our rules: people, not samples or visits, are the unit of analysis; results are corrected for multiple testing; a finding counts as replicated only if it appears in an independent cohort.

Open questions

Ordered by how much a single well-designed study could settle. Each entry gives what the data show, what is unknown, the experiment, and the steps of the working model it tests. Grades use the same scale as the atlas.

Replicated seen in independent cohortsSeveral studies more than one studyEarly one or two studiesContested conflicting results
1

What happens in tissue and blood in the 72 hours after exertion? Early

The crash sequence in the model predicts tissue injury and an immune response 24 to 72 hours after exertion. Only long COVID has the biopsies: fibre necrosis, T-cell infiltration and amyloid deposits a day after a maximal test (Appelman 2024, 25 vs 21). In ME/CFS, one study reports exaggerated innate immune responses 24 hours after exercise (Che 2025, 56 vs 52), while our within-person re-analysis of the largest two-day exercise proteome (Germain 2025, 79 vs 53) found no protein whose response differed at FDR. Both sampled blood, at 24 hours at most.

Still unknownWhether injury or complement markers rise at 48 to 72 hours, when symptoms peak; whether the change is in tissue rather than blood; whether severe patients differ
ExperimentBlood at baseline and 24, 48 and 72 hours after a standard provocation, plus natural crashes sampled at home, with complement (sC5b-9), endothelial injury (syndecan-1) and muscle injury markers. Part of proposed experiment 1.
2

Is there a circulating factor that impairs healthy tissue? Contested

The best-powered test (Ryback 2026, 120 people, preregistered) found no effect of patient serum on healthy myoblast respiration. But it tested one readout, in undifferentiated cells, on resting blood from mostly mild and moderate patients (6 of 67 severe). Two other lines of evidence are untouched by it: patient serum weakens contracting 3D muscle (IBEC 2025, n=4), and purified patient IgG fragments endothelial mitochondria, an effect that disappears when the antibody is cleaved (Prusty lab 2026, 39 patients with MS controls).

Still unknownWhether serum from severe patients, or drawn during post-exertional malaise, has an effect; whether it acts on force rather than respiration
ExperimentBlinded two-lab transfer of paired rest and post-exertion sera, severe patients included, with a spike-in positive control. Full analysis. Part of proposed experiment 3.
3

Why is blood volume low, and is the marrow involved? Replicated

Red-cell volume is low in 5 isotope studies, stroke volume is low, and the heart is small. Finnish national lab records suggest a cause: people with postviral fatigue have fewer young red cells (reticulocytes 1.28% vs 1.83%) and lower soluble transferrin receptor with normal or high iron saturation, a pattern absent in 9 comparison diagnoses. That points to reduced red-cell production that isn't iron deficiency. Blood-volume hormones (renin, natriuretic peptides, EPO) look normal in proteomics, when they should be raised.

Still unknownWhether reticulocytes are low in a clinic cohort; whether low volume precedes illness or follows inactivity; the role of thirst and vasopressin
ExperimentCO-rebreathing blood volume with reticulocytes, sTfR, EPO, hepcidin and copeptin, in recent-onset patients vs matched controls, repeated at 6 months. Part of proposed experiment 2.
4

Does low CO₂ on standing drive the fall in brain blood flow? Replicated

Cerebral blood flow falls on tilt (26% vs 7% in controls, n=429), even without POTS. Five groups report breath CO₂ falling on standing, which narrows brain vessels. In small New York Medical College studies, phenylephrine reversed the low CO₂, the flow drop and the working-memory loss together. But CO₂ reactivity is normal and the CO₂ fall explains only part of the flow fall (van Campen 2023), so it is probably a contributor rather than the main driver.

Still unknownWhether low CO₂ is cause or compensation; whether it appears when sitting up in bed-bound patients who cannot stand
ExperimentCapnography and transcranial Doppler during a graded head-up tilt (30° to 70°), with a crossover of compression, midodrine and CO₂ clamping. Part of proposed experiment 2.
5

Do non-physical triggers act through breathing and brain blood flow? Early

Severe patients report crashes after noise, conversation, startle or a hair wash. This is the observation the model fits worst, because sensory load barely raises the body's demand for blood. If arousal makes patients over-breathe, the resulting fall in CO₂ would cut brain blood flow, which would bring these crashes into the same circulatory pathway. If CO₂ and brain blood flow do not change, the trigger is central, and the sickness response itself is likely sensitised.

Still unknownWhether CO₂ and brain blood flow change during a sensory or cognitive challenge in patients; whether those who crash from sensory load are the ones who over-breathe on standing
ExperimentSeated capnography and transcranial Doppler during a short conversation and noise exposure, in patients who report sensory-triggered crashes and in controls, with 72-hour symptom follow-up. Part of proposed experiment 2.
6

Is the pituitary part of the mechanism? Early

DecodeME's genome-wide signal is enriched in brain tissue and neurons and not in immune cells, and it replicates in the Million Veteran Program (genetic correlation 0.73) and FinnGen. A 2026 preprint meta-analysis also places it in the pituitary, which could reflect neural genes the pituitary shares with brain. Three of the eight DecodeME loci lie near infection-response genes. Cortisol is mildly low on average. In Finnish registry data, diagnosed adrenal insufficiency and hypopituitarism are 7 to 13 times over-represented, unadjusted for age, sex or steroid treatment. One uncontrolled study found vasopressin undetectable after fluid deprivation in most patients, but copeptin was normal in the 13 tested.

Still unknownWhether any patients have a true, testable deficiency; whether vasopressin handling is abnormal
ExperimentShort Synacthen, full anterior pituitary panel and stimulated copeptin in severe patients before any steroid or desmopressin is started. Part of proposed experiment 4.
7

Is a herpesvirus still active, or did it leave an immune imprint? Early

In Finnish records, viral infections are 2 to 6 times more common before ME/CFS; bacterial ones are not. Genetically higher EBV DNA load raises risk in the Million Veteran Program (OR 1.59). Severe patients carry more EBV-matched CD8 T-cell clones (0.88% vs 0.45%, p=0.06) and fewer CMV-driven adaptive NK cells. Blood PCR is usually negative, so the question is whether reactivation happens in tissue or intermittently.

Still unknownPersistence vs imprint; whether the IgG effect in the serum question targets viral or self antigens
ExperimentEBV-lytic antigen T-cell responses (BZLF1, BMLF1), NKG2C+CD57+ NK flow and repeated saliva and blood PCR in patients within 2 years of onset, including during crashes. Part of proposed experiment 1.
8

Is the nervous system stuck in an aroused state? Early

Resting heart rate is higher and heart-rate variability lower, which fits low vagal tone. But the NIH deep-phenotyping study found lower catecholamine metabolites in spinal fluid, and clonidine, which lowers sympathetic outflow, did not help adolescents with CFS. Sleep studies in severe patients often show long sleep latency and hours awake with normal deep sleep. Nobody has measured central and peripheral noradrenaline in the same people across a crash.

Still unknownWhether sympathetic tone is high or low, and whether it drives post-exertional malaise
ExperimentLying and upright plasma noradrenaline, heart-rate variability, and wearable resting heart rate before, during and after crashes. Part of proposed experiment 5.
9

What causes the aromatic-lactate deficit? Several studies

Four related compounds (phenyllactate, 4-hydroxyphenyllactate, indolelactate, imidazole lactate) are lower in patients across 5 cohorts and 2 lab platforms in our re-analysis (−0.53 SD, p=4×10⁻¹¹), after adjusting for drugs, diet and kidney function. The amino acids and keto acids they come from are normal. In 231 people with paired stool and blood, gut bacteria did not predict them. The model does not explain this.

Still unknownWhich enzyme or redox state; bacterial D- vs human L-form; whether it changes with exertion
ExperimentChiral D/L phenyllactate assay; stable-isotope tracing of phenylpyruvate in patient vs control cells; before and after exertion.
10

Do EPHB1 and CLEC3B cause risk, and how? Early

Of about 2,500 plasma proteins tested by Mendelian randomisation in our re-analysis, genetically higher EPHB1 (OR 1.18) and CLEC3B/tetranectin (OR 1.21) raise risk in DecodeME and replicate in the Million Veteran Program (1.29 and 1.44). EPHB1 drives pain sensitisation through NMDA receptors, which fits the genetic overlap with chronic pain (correlation 0.45).

Still unknownWhether the same variant drives both signals (colocalisation); whether the protein acts in brain or blood
ExperimentColocalisation with full pQTL data; CSF EPHB1; quantitative sensory testing stratified by genotype.
Smaller open leads (5)
  • Gut bloom suppressing IPA: R. gnavus, F. plautii and R. lactatiformans overgrowth explains the whole IPA gap and replicates (14/17 species). Genetics says IPA isn't causal, so this is a symptom lead. Test with competition cultures and paired stool and plasma. Atlas
  • Collagen turnover and hypermobility: Hydroxyproline and galactosyl-hydroxylysine up (+0.52 SD, 4/4 cohorts); Ehlers-Danlos and IgG subclass deficiency over-represented in Finland. Test Beighton score, IgG1–4, CTX-I and PIIINP in one cohort. Atlas
  • Vessel-wall proteins lower: ITGAV, NOTCH3 and the TGF-β set are lower in 4 cohorts and long COVID. Relate to orthostatic stroke volume (step 4). Atlas
  • Brain lactate raised: Raised on 7T (Oxford, 24 patients) and earlier 3T work, while resting muscle chemistry is normal. Scan across a crash (step 5). Atlas
  • Lymphocyte mitochondrial RNA raised: Seen in single-cell data (d up to +0.85), not replicated in bulk. Check with fresh samples. Atlas

The serum question, checked in detail

Three results seem to disagree: Fluge 2016 found patient serum raised muscle-cell respiration, Ryback 2026 found nothing in 120 people, and IBEC 2025 found serum weakened engineered muscle. We read all three in full and recomputed Ryback's result from its published per-person data.

What Ryback rules out

One specific result

Resting serum from mostly mild-to-moderate female patients does not change maximal respiration in healthy myoblasts. Effect +2.5 pmol/min (95% CI −1.6 to 6.6). From their per-person data we get d=0.14 (−0.22 to 0.50), which excludes Fluge's d=1.32. The study was preregistered, blinded and randomised, and it is the most rigorous in the field.

Fluge's original arm was weaker than it looked: 12 vs 12, no cell-count correction, and the analysis appears to treat replicate wells rather than donors as the unit, which would overstate precision.

What it leaves open

Most of the serum hypothesis

  • Severe disease. Only 6 of 67 were severe (Fluge: 9 of 12). In those 6, d=0.00 with a confidence interval of −0.84 to +0.85: uninformative.
  • Post-exertional state. All samples were taken at rest by design.
  • Other readouts. No force, lactate, PDK, morphology or gene expression.
  • Detection floor. No spike-in positive control, and plates explained 42% of variance.

Their abstract says "strong evidence against"; their discussion says the results "do not rule out the possibility" of serum factors.

Why Ryback and IBEC can both be right

Ryback 2026IBEC (Mughal) 2025
CellsUndifferentiated primary myoblasts, flat dishDifferentiated myotubes in 3D, anchored to pillars
ReadoutOxygen consumption onlyContractile force; RNA-seq; mitochondrial shape
Serum dose and time20% for 6 days, one time point5% at 48, 96 and 144 h
Timing effectMeasured at 144 hRespiration up at 48 h, then atrophy and fragmented mitochondria by 96–144 h
Patients67 community, mostly mild–moderate4 from a tertiary clinic, fasting morning draw
RigourPreregistered, blinded, 1,926 wellsNot preregistered; n=4, tissues as replicates

The early respiration rise IBEC saw at 48 h is Fluge's direction, but it rests on 3 sera per group, too few to weigh against Ryback. The force loss is the independent result, and it needs replicating at scale.

Other serum and plasma effects

  • Prusty lab 2026: purified patient IgG fragments endothelial mitochondria; lost on Fab/Fc cleavage. 39 ME/CFS, 20 MS controls. The strongest current candidate.
  • Bertinat 2022: patient plasma lowers nitric oxide in vessel cells (11 vs 12).
  • Esfandyarpour 2019: nanoneedle impedance; plasma-swap never independently replicated.
  • Cervia-Hasler 2024: complement dysregulation in long COVID. Neither Fluge nor Ryback heat-inactivated serum, so complement was present in both.
  • Appelman 2024: long-COVID muscle damage worsens after induced exertion, which is why post-exertion sampling matters.

What would settle it

  • At least 30 severe patients with home blood draws, at Ryback's level of rigour.
  • Paired samples from the same person at rest and 24 h after exertion.
  • A spike-in positive control so every assay states the smallest effect it could detect.
  • Differentiated myotubes read at 24, 48, 96 and 144 h with a force readout.
  • Fractions (IgG, heat-labile complement, vesicles) rather than 20% whole serum.

What severe, recent-onset cases add

Most ME/CFS data come from mild-to-moderate patients years into illness who can travel to a clinic. Severe and bed-bound patients rarely appear: 6 of 67 patients in the best-powered serum study, and none in most treatment trials. The first years after a viral trigger are also rare in datasets, though that is when mechanisms are most likely to be active. Findings in severe, early cases that deserve study:

Crashes from non-physical load

Noise, conversation, startle or a hair wash can trigger post-exertional malaise. Exercise tests are unsafe for these patients and miss this, so PEM models need other provocations.

A falling threshold

Each crash can lower the threshold for the next. Nobody has tracked this with objective data, though consumer wearables already record resting heart rate and HRV continuously.

Sleep that is hard to start, not shallow

Long sleep latency and hours awake at night, with normal or high deep sleep. That fits hyperarousal more than a sleep-architecture defect.

Water and salt handling

Heavy thirst, dilute urine and a strong response to IV saline raise questions about vasopressin and blood volume that routine tests don't answer. Copeptin is rarely measured.

Many changes at once

Sick patients often start several drugs within days. That makes it impossible to learn what helped. One change at a time, with a wearable-based endpoint, turns care into usable n-of-1 data.

Samples that are never taken

Blood from a crash day, from a bed-bound patient, or before a steroid or hormone is started is almost never banked. It is exactly what the open questions above need.

A plan for closing the open questions

Progress is limited more by method than by a shortage of hypotheses. It needs assays with a stated detection limit, blood drawn at the right time, severe patients sampled at home, and designs in which each person is their own control.

Qualify the assays before using patient samples

Weeks · no patients needed

Run healthy sera across plates, cell lots, operators and freeze-thaw cycles for each readout: 3D muscle force, respiration, blinded mitochondrial morphology, endothelial IgG assay. Add a spike-in positive control. Report the smallest effect each assay can detect, and preregister.

One cohort, sampled at the right moments

40 patients within 2 years of onset (at least 15 severe, visited at home), 40 matched controls, 20 disease controls
  • Blood at a stable baseline and during a crash (or 24 h after a standard provocation for those who can tolerate it), processed identically and banked in aliquots.
  • Reticulocytes, sTfR, EPO, hepcidin, copeptin, cortisol/ACTH, IgG subclasses, noradrenaline, and blood volume where feasible.
  • Graded head-up tilt with capnography and, where possible, transcranial Doppler.
  • Chiral aromatic-lactate panel, paired stool, genotype for DecodeME and pQTL variants, EBV-lytic T-cell responses.
  • Continuous wearable heart rate and HRV for the whole period.

Blinded two-lab serum transfer

Uses phase 2 samples and phase 1 assays

The same coded sera go to a 3D-muscle lab and an endothelial lab, each with one preregistered endpoint. Compare crash vs baseline within person and severe vs mild. If a signal clears the detection floor, fractionate (IgG, complement, vesicles) to find it.

Mechanism follow-ups

In parallel, from phase 2 data
  • Low red-cell production: erythroid progenitor counts and EPO response in vitro.
  • Pituitary: dynamic testing in those with borderline results.
  • Aromatic lactates: isotope tracing and D/L chirality.
  • EPHB1: colocalisation, CSF levels, sensory testing by genotype.
  • Low CO2: crossover of compression, midodrine and CO2 clamping during tilt.

Small, well-measured treatment trials

Only for leads that survive

Randomised crossovers or n-of-1 series with objective endpoints: wearable resting heart rate, upright CO2, step counts, a cognitive task. Candidates if the physiology holds: volume expansion, compression, midodrine, pyridostigmine, and targeted hormone replacement for proven deficiency. Follow the daratumumab RCT.

Open data from day one

Per-person data with IDs that link across modalities, deposited on publication. Ryback's per-person file is why we could check the severe subgroup here. Several other leads are stuck because data sit behind requests.

What we tested and consider settled

These were tested with enough data to matter and did not hold up.

Serum raising myoblast respiration at rest

Refuted in mild–moderate patients (Ryback 2026). Severe and post-exertion samples remain open.

Metabolites as causes

Mendelian randomisation is null for IPA, indolelactate, kynurenine, ketones, carnitine and bile acids.

Kynurenine up

It is lower in patients across 7 blood cohorts and in spinal fluid.

Immune-cell signatures

Single-cell (503,739 cells), methylation, epigenetic clocks, B- and T-cell repertoires, interferon, Th17: nothing replicates.

Two published claims

De Vega 2017 methylation is granulocyte contamination; Sato 2021 IGHV3-30/3-33 did not replicate.

GPCR autoantibodies

Not raised in 164-person profiling; BC007 and immunoadsorption vs sham failed.

Blood gene expression

Five cohorts, 219 cases: no gene set passes correction.

Single-cohort metabolites

Fatty acids, bile acids, VMA and sphingolipids each failed across other cohorts.

Null trials

Rituximab (n=151), Paxlovid (3 trials), IVIG in POTS, low-dose naltrexone in post-COVID ME/CFS, CoQ10 alone.

Data we used

All the data are public. The data catalogue lists every dataset with its licence, and hosts downloadable copies where the licence allows. Per-person data from severe or recent-onset patients would make the most difference.

SourceWhatSize
DecodeMEGWAS summary statistics15,579 cases
FinnGen R12 / RisteysPostviral fatigue GWAS, comorbidities, lab values~1,600 cases
BioMapAI (Xiong 2025)Gut metagenome, plasma metabolome, immune, clinical153 patients, 96 controls
NIH (Walitt 2024)Tilt, CSF, flow, proteomics17 patients, 21 controls
Metabolomics WorkbenchNaviaux, Nagy-Szakal, Che, NIH CSF, Japanese cohorts9 studies
Ryback 2026Per-person myoblast respiration67 patients, 53 controls
GEOSingle-cell, bulk RNA, methylation12 datasets
PRIDE and supplementsSomaScan and mass-spec proteomics7 datasets
ClinicalTrials.govTrials with posted results165 trials

Out of reach so far: participant-linked NIH tables, Hoel 2021 per-person metabolomics, full plasma pQTL statistics, individual Finnish registry data.