Choose your questionnaire
You can start with the broader 30+ question pattern questionnaire or the shorter SMPDL3B-focused quiz. You can always come back later and do the other one.
Option 1 – Full Pattern Questionnaire (30+ questions)
A broader questionnaire that looks at multiple dimensions of your illness pattern, including:
- Baseline vs deep-crash PEM pattern
- Vascular and autonomic features (POTS/OI, brain fog, dizziness)
- Metabolic load, recovery, and “energy envelope” behaviour
- GI / liver / bile-acid–type symptoms
- How your overall pattern fits the GLA amplifier model
Recommended if you have the energy to answer more questions and want a more complete pattern overview.
Option 2 – SMPDL3B-Focused Questionnaire
A shorter quiz that concentrates on SMPDL3B-linked vascular and inflammatory features, including:
- Signs of endothelial fragility and microcirculatory issues
- Volume / kidney-type symptoms (low blood volume, salt/fluid responses)
- Inflammatory/reactive features that line up with SMPDL3B biology
Recommended if you are mainly interested in how SMPDL3B-linked vascular instability might fit your presentation, or if you’re too fatigued for the longer questionnaire.
If you’re unsure where to start, begin with the Full Pattern Questionnaire and come back to the SMPDL3B-focused quiz later.
Understanding Your Subtype
These pages expand on how your subtype is interpreted using the GLA model, with separate paths for patients and clinicians.
What is the GLA Concept?
The sections below are written for readers who want deeper biological context. You can safely skip or skim detailed sections without missing the main ideas.
The Gut–Liver–Autonomic (GLA) framework is an upstream systems-biology model designed to explain why people with ME/CFS and Long COVID are so vulnerable to stress — and why recovery from exertion can become delayed, amplified, or unstable.
The GLA model did not begin as a competing theory of post-exertional malaise (PEM). It emerged from attempts to understand the physiological constraints that make PEM possible across many different biological pathways.
Early work by Wirth & Scheibenbogen was foundational in showing that post-exertional malaise reflects a failure of adequate blood flow, ion handling, and autonomic compensation during exertion. Building on this insight, the GLA framework explores the upstream conditions that make vascular instability and impaired perfusion persist — and why relatively small stressors can trigger multi-system destabilization simultaneously. Rather than proposing a single broken pathway, GLA proposes that PEM is not driven by a single broken mechanism, but by a loss of buffering capacity across interconnected regulatory systems. When metabolic stress, endothelial instability, membrane vulnerability, and autonomic regulation converge, the body loses its ability to adapt safely to load — making crashes more likely, more prolonged, and more system-wide.
How the GLA framework is structured
The model integrates three interacting biological domains.
1. SMPDL3B → Membrane Fragility → Endothelial Instability
SMPDL3B is positioned as a key context-setting biomarker linking inflammation, ceramide metabolism, and membrane stability. When SMPDL3B function is reduced or dysregulated, endothelial cells and microvasculature become more reactive and fragile.
This increases susceptibility to:
- microvascular collapse
- impaired oxygen delivery
- exaggerated inflammatory and stress responses
In this way, SMPDL3B biology helps explain why the endothelial sensitivity described by Wirth & Scheibenbogen can become persistent rather than transient.
2. Liver & Bile-Acid Signalling as “Load Controllers”
The liver and bile-acid system act as metabolic load regulators, shaping how well the body tolerates stress, food intake, inflammation, and exertion. Bile acids, FGF-21 signalling, and hepatic metabolic strain function as upstream amplifiers, not root causes.
When this axis becomes overloaded:
- Ang-2/Tie2 signalling becomes easier to destabilize
- blood-flow regulation weakens
- autonomic compensation becomes less reliable
This creates the metabolic context that makes vascular and autonomic models of ME/CFS more fragile and more easily triggered.
3. Autonomic Nervous System (ANS) Vulnerability
Wirth & Scheibenbogen describe autonomic failure as central to PEM expression. The GLA framework agrees — but adds that ANS dysregulation is best understood as the final common pathway.
In GLA, autonomic instability emerges after upstream:
- metabolic strain
- endothelial fragility
- membrane instability
- hepatic signalling stress
have narrowed the system’s capacity to maintain equilibrium. This explains why autonomic symptoms can:
- fluctuate over time
- worsen after exertion, illness, or dietary stress
- improve when upstream load is reduced
rather than behaving as a fixed primary defect.
The mechanistic chain (step-by-step biology)
This model proposes the following cascade:
- Viral or inflammatory trigger activates innate immune receptors (e.g. TLR4).
- PKC → PI-PLC signalling is upregulated.
- SMPDL3B is cleaved from the cell membrane, reducing membrane stability.
- Endothelial flow control becomes fragile (barrier leak + heterogeneous microconstriction) with NO signaling that is mis-timed/mislocalized and often functionally unavailable under shear.).
- Perfusion drops and tissues shift toward ischemic metabolism.
- Calcium overload and ROS bursts occur in stressed cells and mitochondria.
- ROS further increases PI-PLC and SMPDL3B loss, deepening the loop.
- Kidney volume regulation becomes unstable, worsening low blood volume and hypoperfusion.
- Hepatic strain and FGF21 elevation signal ongoing metabolic stress in the liver.
- Autonomic dysfunction (POTS/OI, sympathetic bias) further reduces stable perfusion.
These interlocking loops may help explain why symptoms can become chronic, and why exertion can trigger delayed post-exertional crashes.
Framework documents
Core architecture and definitions that anchor the GLA model.
Papers
Longer, paper-format documents (reader narrative + figures).
Modules (v2.1 → v2.6)
Modular “building blocks” used across the site. Organized by version and topic.
SMPDL3B phenotype frameworks
Phenotype-specific models (shedding vs deficient) and the mechanistic chain framework.
System modulators & control-state modifiers
Documents that shape interpretation of the core framework and control-state behavior.
How the GLA Model Interacts With Other ME/CFS Disease Concepts
The Gut–Liver–Autonomic (GLA) framework is not a competing theory of ME/CFS or Long COVID.
Instead, it acts as a systems-level layer that explains why the well-known mechanisms in other models become so easily triggered — and why they persist.
Across the major published theories of ME/CFS, GLA provides the upstream regulatory context
Show detailed view: how GLA interacts with other ME/CFS disease models
Across the major published theories of ME/CFS, GLA provides the upstream regulatory context:
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Neuroinflammation models (vagal sensitization, microglial priming) describe how symptoms amplify.
GLA identifies the peripheral triggers — ischemia, ROS, DAMPs, SMPDL3B-related TLR4 sensitivity — that activate those neural pathways.
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Metabolic and mitochondrial dysfunction models explain what fails inside the cell.
GLA explains why cells are under strain in the first place — impaired perfusion, hepatic metabolic load, bile-acid dysregulation, and elevated FGF21.
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Microclot and coagulopathy models describe one amplifier inside the vasculature.
GLA provides the broader microvascular instability (SMPDL3B loss, Ang-2/Tie2 drift, tissue hypoxia) that makes microclots form and persist.
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Autonomic dysfunction models (POTS, OI, cerebral hypoperfusion) describe the circulatory collapse.
GLA shows why autonomic buffering becomes fragile, linking low-volume states, hepatic strain, and endothelial instability into a single loop.
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CDR / metabolic-trap theories describe intracellular “locked” steady states.
GLA supplies the chronic stress inputs — ischemia, ROS, inflammatory signalling — that could maintain such states.
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Wirth & Scheibenbogen describe post-exertional malaise (PEM) as a perfusion-limited failure of exertional adaptation.
GLA builds on this framework by examining why this perfusion vulnerability persists — endothelial fragility, hepatic load, SMPDL3B-linked membrane instability, and weakened autonomic buffering.
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Nunes (endothelial senescence / clearance failure) describes persistent damaged vascular targets that are not effectively cleared.
GLA interpretation: SMPDL3B-related membrane instability, bile-acid–biased immune tolerance, and autonomic hypoperfusion favor incomplete repair over clearance. -
Itaconate shunt (resolution brake) describes prolonged immunometabolic suppression that delays recovery.
GLA interpretation: Protective acutely, but maladaptive when repeatedly re-engaged by unresolved ischemia, endothelial stress, and oxidative signaling—prolonging PEM. -
Carnac (phosphatidylcholine / membrane turnover pressure) describes repair fragility when membrane demand exceeds phosphatidylcholine resupply.
GLA interpretation: Reduced lipid-raft stability, impaired signal termination, and lower endothelial/RBC shear tolerance lower crash threshold and delay recovery without initiating persistence. -
Nitrogen hypothesis (NO/RNS stress) describes nitrosative stress as a recovery-cost amplifier.
GLA interpretation: Mis-timed and mis-localized NO under shear-sensing error and ischemia–reperfusion cycles inhibits enzymes and extends PEM duration (OMF Canada: Missailidis, Phair, Gooley, Annesley, Armstrong).
In short: GLA describes the system that links existing ME/CFS disease models. It does not replace them — it explains when they trigger, how strongly they amplify, and how long recovery takes.
Open: GLA as a Systems-Level Integration Layer Across ME/CFS Disease ModelsFramework archive & technical references
The documents below represent earlier or deeper mechanistic layers of the GLA framework. They remain scientifically relevant, but are not required reading to use the questionnaires or understand your subtype.
- These questionnaires are exploratory tools built around a patient-led hypothesis (the GLA / SMPDL3B model).
- They are not diagnostic tests and do not replace medical advice, investigation, or treatment.
- No medication (including UDCA or TUDCA) should be started, stopped, or adjusted based on these results without discussing it with a qualified healthcare professional.
- If you have worrying or rapidly worsening symptoms, please seek medical care and do not rely on this site.