📘 GLA v2.3 — Updated Core Framework (2025)
Integrating EV-Glycome Biology, ER Stress, Hepatic Load, SMPDL3B, and Vascular–Autonomic Amplifiers
1. Overview
GLA v2.3 unifies emerging biomarker findings from ME/CFS and Long COVID into a coherent, systems-level architecture describing how exertion intolerance and delayed crashes (PEM) arise from upstream regulatory impairments.
Two breakthroughs directly inform this update:
1) Long COVID EV-glycome abnormality (Pesqueira Sanchez et al., 2025)
Long COVID plasma contains:
- ↑ EV abundance
- ↑ high-mannose N-glycans on EV surfaces
- EV-associated inflammatory miRNAs removable by GNA (mannose-binding) resin
These findings establish a glycomic signature of unresolved ER/Golgi stress in a post-viral condition closely related to ME/CFS.
2) ME/CFS EV proteomic rigidity under exertion
ME/CFS cohorts demonstrate:
- Failure to remodel EV protein cargo after exertion (Giloteaux et al., 2024; Glass et al., 2025)
- Pathways affected include mitochondrial function, redox handling, immune signaling, and cellular stress responses
Together, these show EV biology as a core failure point in post-exertional adaptation.
GLA v2.3 integrates these findings with:
- ER-stress and hepatic metabolic bottlenecks (Hoel et al., 2021; Sun et al., 2019)
- SMPDL3B membrane/innate immune dysregulation (Rostami-Afshari et al., 2025)
- Endothelial instability and impaired perfusion signaling (Haffke et al., 2022)
- Autonomic and metabolic amplifier loops (van Campen et al., 2020–2023)
The result: a refined root architecture explaining how multiple micro-failures accumulate to produce PEM.
This version also integrates TUDCA as a mechanistically justified ER-chaperone intervention at the upstream regulatory layer.
2. Updated Root Structure (GLA v2.3)
2.1 EV Biology, ER Stress & Glycome Remodeling
Extracellular vesicles (EVs) carry inflammatory signals, mitochondrial stress markers, and regulatory RNAs. Their surface N-glycan patterns determine trafficking, immune interaction, and clearance.
Empirical evidence
Long COVID (Pesqueira Sanchez et al., 2025):
- ↑ EV counts (large & small)
- ↑ high-mannose N-glycans on EV surfaces
- GNA lectin resin selectively removes these EVs
- Removal depletes specific inflammatory miRNAs
- Predicted downstream pathway effects:
↓ JAK-STAT
↑ Estrogen / PI3K / VEGF
This represents a measurable EV-glycome abnormality associated with chronic post-viral illness.
ME/CFS (Giloteaux 2024; Glass 2025):
- EV proteomic remodeling fails after exertion
- Mitochondrial, redox, immune, and stress-response pathways do not normalize
- Indicates EV rigidity, but N-glycan structures have not yet been mapped
Acute COVID-19:
- High-mannose glycan enrichment
- ER/Golgi bottlenecks
- Glycosylation pathway dependence of viral entry
Working hypothesis (v2.3): EV-glycome insufficiency phenotype
Based on the convergence of EV rigidity (ME/CFS), EV-glycome abnormalities (Long COVID), and ER stress biology, ME/CFS may feature:
- ↑ high-mannose tone
- ↓ complex branching
- ↓ sialylation
- impaired post-exertional glycan remodeling
These traits are hypothesized and require direct measurement in ME/CFS EVs.
2.2 BA–GLA (Bile-Acid → Gut–Liver–Autonomic Axis)
The liver forms an upstream regulatory bottleneck. When ER and metabolic handling are impaired:
- FGF21 rises (Azimi et al., 2025)
- bile-acid signaling destabilizes (Sun et al., 2019)
- biochemical markers of hepatic strain appear (Beentjes et al., 2025)
- oxidative and redox demand increases (Fonseca et al., 2016)
These disturbances amplify:
- endothelial dysfunction
- autonomic instability
- metabolic collapse under exertion
BA–GLA is not “the cause” of ME/CFS, but the central integration point where upstream stress becomes systemic instability.
2.3 SMPDL3B, Innate Immunity & Membrane Stability
SMPDL3B regulates:
- membrane lipid organization
- TLR4 sensitivity
- microvesicle release
- cytoskeletal coherence
Evidence
- SMPDL3B is a validated ME/CFS biomarker (Rostami-Afshari et al., 2025)
- ME/CFS shows heightened innate immune activation (Che et al., 2025)
- Cytokine-pattern instability observed across multiple cohorts
GLA mechanistic phenotypes
(These are theoretical constructs, not clinical categories.)
-
SMPDL3B-deficient phenotype:
reduced membrane stability → exaggerated innate signaling -
SMPDL3B-shedding phenotype:
excessive SMPDL3B loss → endothelial/cytoskeletal destabilization
These modulate how patients express downstream M1/M2/M3 amplifiers.
2.4 Vascular / Endothelial Amplifier (M2)
Characterized by:
- ET-1 elevation
- Ang-2 drift
- NO depletion
- microclots
- impaired capillary recruitment
- 20–40% cerebral blood-flow reduction on tilt
M2 is a perfusion-distribution failure, worsened by:
- hepatic strain
- EV inflammatory tone
- endothelial glycome vulnerability
2.5 Metabolic / Mitochondrial Amplifier (M1)
Ischemia + redox load produce:
- ATP depletion
- calcium overload
- ROS bursts
- abnormal lactate/pH dynamics
- slow phosphocreatine recovery
Reflects energy failure under load, intensified by M2 and BA–GLA upstream strain.
2.6 Autonomic / Volume Amplifier (M3)
Defined by:
- hypovolemia
- RAAS suppression
- sympathetic dominance
- baroreflex impairment
- POTS/OH
- reduced cerebral blood flow
Endothelial & EV-glycome abnormalities further limit autonomic adaptability.
3. PEM in GLA v2.3: A Failure of Integrated Remodeling
PEM is not caused by exertion itself but by the failure to return to baseline after exertion.
Supported contributors
- EV proteomic rigidity post-exertion
- innate immune overactivation
- microvascular and autonomic fragility
GLA integrative model of PEM
During recovery, multiple subsystems fail to remodel:
- EV proteome fails to normalize (empirical)
- EV-glycan remodeling likely impaired (inferred from Long COVID)
- endothelial/tight-junction instability
- hepatic metabolic bottlenecks
- TLR4-proximal innate amplification
- autonomic rebound failure
This creates the characteristic delayed crash, typically 12–48 hours post-exertion.
4. TUDCA in GLA v2.3
4.1 Mechanistic Rationale
TUDCA supports:
- ER chaperoning
- mitophagy/mitochondrial stability
- SIRT1-FXR activation
- improved glycan processing
- reduced ER Ca²⁺ leak
This directly targets the upstream defects identified by EV-glycome and BA–GLA findings.
4.2 Placement in the Model
TUDCA sits in the root layer, not downstream. It improves the regulatory environment for:
- endothelial function
- mitochondrial efficiency
- autonomic stability
- SMPDL3B membrane signaling
5. What GLA v2.3 Achieves
5.1 Clarifies the Root Dysfunction
- EV-glycome rigidity (shown in Long COVID)
- metabolic and hepatic strain (shown in ME/CFS)
5.2 Reframes Amplifier Types
M1/M2/M3 are not fixed “subtypes” but expressions of a shared upstream architecture, modulated by SMPDL3B biology, vascular tone, and hepatic load.
5.3 Establishes a Three-Level Treatment Logic
GLA v2.3 structures therapeutic strategy across three interconnected layers: (1) root regulatory stabilization, (2) midstream amplifier modulation, and (3) downstream rehabilitation. This layered architecture reflects how upstream cellular stress propagates into vascular, autonomic, and metabolic instability.
1) Root Regulatory Layer — correcting the upstream bottleneck
This layer targets ER stress, EV-glycome/proteome rigidity, hepatic metabolic load (BA–GLA), and SMPDL3B-related membrane/innate-immune vulnerability. The goal is to reduce systemic noise and create a low-friction metabolic and autonomic environment that prevents chronic activation of amplifier loops (M1, M2, M3).
Root-layer sequencing (autonomic-safe v2.3)
- Phase 0 — safety, autonomic settling, perfusion-risk avoidance
- Phase 1A — membrane/liver priming (PC first; others delayed in autonomic-fragile phenotypes)
-
Phase 1B — ER stabilization
TUDCA is introduced before any neuroactive BA–GLA amino acids, because choline, taurine, and glycine exert stronger acute effects on autonomic tone and can destabilize patients with M2 vascular dominance or SMPDL3B deficiency if used prematurely. -
Phase 1C — cautious introduction of choline → taurine → glycine
(slow, phenotype-dependent ramping) - Phase 2.5 — mitochondrial insulation (CoQ10 + riboflavin, niacinamide; ALA/ALCAR where appropriate)
This corrected ordering reflects the principle that upstream stabilization must occur before any intervention capable of shifting autonomic balance, particularly in vascular- or SMPDL3B-fragile phenotypes.
2) Midstream Layer — modulating amplifier expression (M1, M2, M3)
Once the root layer becomes more stable, the characteristic amplifier patterns of ME/CFS become more responsive to intervention. Midstream dysfunction includes:
- M2 (vascular): perfusion distribution failure, Ang-2/Tie2 drift, ET-1 elevation, microclots, NO depletion
- M1 (metabolic): impaired ATP/PCr recovery, ischemic ROS bursts, Ca²⁺ overload
- M3 (autonomic/volume): hypovolemia, RAAS suppression, baroreflex impairment, sympathetic dominance
Midstream interventions include endothelial repair, microvascular support, mitochondrial/redox optimization, cautious microclot modulation, and strategies that expand volume or stabilize autonomic tone.
Key principle: Improving the root layer reshapes amplifier expression.
Patients frequently shift:
• M2 → M1 as vascular stability improves
• M3 → M2 as autonomic and volume status recover
• M1 → low-amplifier baseline as metabolic handling normalizes
Amplifier drift is a measurable indicator of upstream success.
3) Downstream Layer — rehabilitation and functional reintegration
Downstream work becomes viable only when root and midstream layers are stable. It includes:
- structured pacing with controlled reintroduction of exertion
- autonomic rehabilitation (graded autonomic loading, not graded aerobic exercise)
- perfusion-safe strengthening and conditioning
- sleep and circadian stabilization
- synchrony training across vascular, metabolic, and autonomic systems
Attempting rehabilitation prematurely typically reproduces PEM because the underlying regulatory architecture cannot yet remodel safely after exertion.
Overall, this three-layer structure provides a biologically grounded sequencing logic that links EV biology, ER stress, hepatic regulation, endothelial responsiveness, and autonomic behavior into a unified therapeutic framework.
6. Final Summary
GLA v2.3 presents ME/CFS as a disorder of failed adaptive remodeling, arising from:
- EV-glycome and EV-proteome rigidity
- ER/Golgi stress and hepatic load
- SMPDL3B-centered innate immune vulnerability
- endothelial and autonomic instability
- metabolic insufficiency during exertion
By integrating these domains, GLA v2.3 offers a coherent explanation for PEM and a rational structure for phased therapeutic sequencing.
References
ER Stress, Glycosylation & Mitochondrial Protection
- Yoon, Y. M., et al. (2016). Tauroursodeoxycholic acid reduces ER stress in mesenchymal stem cells. Scientific Reports, 6, 39838. Link
- Xie, Q., et al. (2002). Effect of tauroursodeoxycholic acid on endoplasmic reticulum stress–induced caspase-12 activation. Hepatology, 36(3), 592–601. Link
- Fonseca, I., et al. (2016). Tauroursodeoxycholic acid prevents mitochondrial dysfunction via mitophagy. Autophagy, 12(7), 1215–1229. Link
- Kusaczuk, M. (2019). Tauroursodeoxycholate — A bile acid with chaperoning activity: Molecular and cellular effects and therapeutic perspectives. Cells, 8(12), 1471. Link
- Sun, S., et al. (2020). Tauroursodeoxycholic acid attenuates liver injury via SIRT1–FXR signaling. Journal of Cellular and Molecular Medicine, 23(10), 6338–6350. Link
- Kulkarni, S. R., et al. (2016). Activation of SIRT1 alleviates cholestatic liver injury in a mouse model of intrahepatic cholestasis. Hepatology, 64(6), 2151–2164. Link
ME/CFS Metabolic & Biomarker Findings
- Hoel, F., et al. (2021). A map of metabolic phenotypes in patients with myalgic encephalomyelitis/chronic fatigue syndrome. JCI Insight, 6(16), e149217. Link
- Beentjes, S. V., et al. (2025). Replicated blood-based biomarkers for myalgic encephalomyelitis/chronic fatigue syndrome are not explained by inactivity. EMBO Molecular Medicine. Link
- Azimi, F., et al. (2025). Circulating FGF21 as a disease-modifying factor associated with distinct symptoms and cognitive profiles in myalgic encephalomyelitis and fibromyalgia. Scientific Reports, 15, 579. Link
SMPDL3B & Membrane / Innate-Immune Biology
- Rostami-Afshari, B., et al. (2025). SMPDL3B: A novel biomarker and therapeutic target in myalgic encephalomyelitis. Journal of Translational Medicine, 23, 748. Link
- Rostami-Afshari, B., et al. (2025). Circulating levels of SMPDL3B define metabolic endophenotypes and subclinical kidney alterations in myalgic encephalomyelitis. International Journal of Molecular Sciences, 26(18), 8882. Link
EV Biology, EV-Glycome & Glycosylation
- Walker, S. A., et al. (2020). Glycan node analysis of plasma-derived extracellular vesicles. Cells, 9(9), 1946. Link
- Williams, C., et al. (2018). Glycosylation of extracellular vesicles: Current knowledge, tools and clinical perspectives. Journal of Extracellular Vesicles, 7(1), 1442985. Link
- Giloteaux, L., et al. (2024). Dysregulation of extracellular vesicle protein cargo in female myalgic encephalomyelitis/chronic fatigue syndrome cases and sedentary controls in response to maximal exercise. Journal of Extracellular Vesicles, 13(1), e12403. Link
- Glass, K. A., et al. (2025). Extracellular vesicle proteomics uncovers energy metabolism, complement system, and endoplasmic reticulum stress response dysregulation postexercise in males with ME/CFS. Clinical and Translational Medicine, 15(5), e70346. Link
- Pesqueira Sanchez, M. A., et al. (2025). Increased mannosylation of extracellular vesicles in Long COVID plasma provides a potential therapeutic target for Galanthus nivalis agglutinin (GNA) affinity resin. bioRxiv preprint. Link
Innate Immunity, Cytokines & Neuroinflammation
- Che, X., et al. (2025). Heightened innate immunity may trigger chronic inflammation, fatigue, and post-exertional malaise in ME/CFS. npj Metabolic Health and Disease, 3, 34. Link
- Hardcastle, S. L., et al. (2015). Serum immune proteins in moderate and severe chronic fatigue syndrome/myalgic encephalomyelitis patients. International Journal of Medical Sciences, 12(10), 764–772. Link
- Blundell, S., et al. (2015). Chronic fatigue syndrome and circulating cytokines: A systematic review. Brain, Behavior, and Immunity, 50, 186–195. Link
- Roerink, M. E., et al. (2017). Cytokine signatures in chronic fatigue syndrome patients: A case–control study and the effect of anakinra treatment. Journal of Translational Medicine, 15, 267. Link
- VanElzakker, M. B., et al. (2019). Neuroinflammation and cytokines in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): A critical review of research methods. Frontiers in Neurology, 9, 1033. Link
Endothelial & Microvascular Dysfunction
- Haffke, M., et al. (2022). Endothelial dysfunction and altered endothelial biomarkers in patients with post-COVID-19 syndrome and chronic fatigue syndrome (ME/CFS). Journal of Translational Medicine, 20, 138. Link
- Flaskamp, L., et al. (2022). Serum of post-COVID-19 syndrome patients with or without ME/CFS differentially affects endothelial cell function in vitro. Cells, 11(15), 2376. Link
- Vassiliou, A. G., et al. (2023). Endotheliopathy in acute COVID-19 and Long COVID. International Journal of Molecular Sciences, 24(9), 8237. Link
- Nunes, J. M., Kell, D. B., & Pretorius, E. (2023). Cardiovascular and haematological pathology in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): A role for viruses. Blood Reviews, 60, 101075. Link
- van Campen, C. L. M. C., Rowe, P. C., & Visser, F. C. (2020). Cerebral blood flow is reduced in ME/CFS during head-up tilt testing. Clinical Neurophysiology Practice, 5, 50–58. Link
- van Campen, C. L. M. C., Rowe, P. C., & Visser, F. C. (2020). Cerebral blood flow is reduced in severe ME/CFS during mild orthostatic stress testing (20° tilt). Healthcare, 8(2), 169. Link
Autonomic, Blood Volume & Orthostatic Findings
- Issa, A., et al. (2025). Autonomic dysfunction in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): Findings from the Multi-Site Clinical Assessment of ME/CFS (MCAM) study in the USA. Journal of Clinical Medicine, 14(17), 6269. Link
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Muscle, Mitochondrial Dysfunction & PEM
- Baraniuk, J. N. (2025). Exertional exhaustion (post-exertional malaise, PEM) evaluated by the effects of exercise on cerebrospinal fluid metabolomics–lipidomics and serine pathway in myalgic encephalomyelitis/chronic fatigue syndrome. International Journal of Molecular Sciences, 26(3), 1282. Link
- Franklin, J. D., & Graham, M. (2022). Repeated maximal exercise tests of peak oxygen consumption in people with myalgic encephalomyelitis/chronic fatigue syndrome: A systematic review and meta-analysis. Fatigue: Biomedicine, Health & Behavior, 10(3), 119–135. Link
- Jones, D. E. J., et al. (2010). Abnormalities in pH handling by peripheral muscle and potential regulation by the autonomic nervous system in chronic fatigue syndrome. Journal of Internal Medicine, 267(4), 394–401. Link
- Rutherford, G., Manning, P., & Newton, J. L. (2016). Understanding muscle dysfunction in chronic fatigue syndrome. Journal of Aging Research, 2016, 2497348. Link
- Vermeulen, R. C. W., et al. (2010). Patients with chronic fatigue syndrome performed worse than controls in a controlled repeated exercise study despite a normal oxidative phosphorylation capacity. Journal of Translational Medicine, 8, 93. Link
- Syed, A. M., et al. (2025). Mitochondrial dysfunction in myalgic encephalomyelitis/chronic fatigue syndrome. Physiology (Bethesda), 40(4), 319–328 (approx.). Link
This page summarizes the GLA v2.3 hypothesis model and is intended for informational and research support purposes. It is not a clinical guideline or treatment recommendation.