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Interpretive Framework: GLA — Downstream Amplifier Module
ER–MAM calcium routing → recovery bandwidth modulation

ER–Mitochondrial Calcium Routing as a GLA Amplifier Module

Why Ca2+ dysregulation magnifies stress by reducing recovery capacity

Author: Michael Daniels · Framework: GLA·2.5 Date: January 12th 2026 Status: Interpretive module
This document presents a systems-level interpretation of mechanistic research and is not clinical guidance or a treatment recommendation.

Scope & interpretation note
The material presented here synthesizes mechanistic research on endoplasmic reticulum (ER)–mitochondrial calcium handling and maps it into the GLA framework as a downstream amplifier of instability.

Source studies are drawn primarily from acute injury and cellular stress models and are used to inform system-level control and recovery dynamics, rather than to propose direct causality, diagnosis, or treatment for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).

Within the GLA framework, ER–mitochondrial calcium routing is interpreted as a mechanism that modulates recovery bandwidth and delayed vulnerability following stress exposure, rather than as a disease-initiating lesion.

Conceptual framing — ER–mitochondrial calcium routing as a downstream amplifier

Shear stress does not directly damage mitochondria. Instead, it exposes a pre-existing control fragility at the endothelial and membrane level. When endothelial shear sensing and nitric-oxide timing fail, downstream tissues experience heterogeneous perfusion, oxidative signaling, and intracellular stress.

Under these conditions, ER–mitochondrial calcium routing functions as a secondary amplifier, not a trigger. Persistent stress signaling and impaired termination increase cytosolic Ca2+ load, which—via mitochondria-associated membranes (MAMs)—is transferred into mitochondria with excessive gain and duration.

This promotes mitochondrial Ca2+ overload, oxidative stress, and a shift toward fission-dominant dynamics, reducing recovery bandwidth.

Importantly, this module does not initiate post-exertional malaise (PEM). Instead, it explains how a shear-activated failure state is converted into delayed and prolonged post-exertional vulnerability, even after the original shear exposure has ended.

Shear stress exposure
        ↓
Endothelial sensing failure / NO mistiming
        ↓
Heterogeneous perfusion & cellular stress
        ↓
ER–MAM Ca²⁺ routing amplification
        ↓
Mitochondrial fragmentation → delayed PEM
  

1) Snapshot

1.1 What the source literature shows

  • Persistent endoplasmic reticulum (ER) stress and Ca2+ dysregulation are tightly coupled through mitochondria-associated membranes (MAMs), enabling abnormal ER→mitochondrial Ca2+ transfer under sustained stress conditions (Baral et al., 2025).
  • Excess mitochondrial Ca2+ promotes oxidative stress, impaired respiration, and a shift toward fission-dominant mitochondrial dynamics, reducing functional resilience and recovery capacity (Baral et al., 2025).
  • This coupling forms a self-reinforcing loop in which ER stress and mitochondrial dysfunction prolong each other, leading to cellular damage and impaired recovery rather than isolated energetic failure (Baral et al., 2025).
  • Human ME/CFS studies report evidence of chronic ER stress and altered unfolded protein response signaling, establishing ER stress as a baseline feature of the illness, even though calcium routing and MAM integrity are not directly assessed (Glass et al., 2025).
  • Independent ischemia–reperfusion cell studies show that pharmacological activation of SERCA restores ER Ca2+ reuptake, reduces intracellular Ca2+ overload, and suppresses ER stress–linked injury (Rahi & Kaundal, 2025).

1.2 GLA placement

Within the GLA framework, ER–mitochondrial calcium routing is best understood as a downstream amplifier module, not a disease-initiating mechanism. Instability arising upstream—whether immune, metabolic, autonomic, or membrane-level—can be converted at the ER–MAM interface into prolonged ER stress and mitochondrial execution failure, ultimately shrinking recovery bandwidth. The primary pathological effect is not reduced baseline energy production, but loss of recovery reliability following stress (Baral et al., 2025).

1.3 Non-overreach guardrails

  • This module does not represent a root cause of ME/CFS or related post-infectious illness.
  • The cited literature does not directly test post-exertional malaise (PEM), shear-activated failure states, or MAM dysfunction in ME/CFS.
  • Experimental interventions discussed here are mechanistic demonstrations, not treatment recommendations.

2) Detailed GLA interpretation

2.1 Conceptual placement in the GLA stack

Within the GLA framework, ER–mitochondrial calcium routing is positioned as a control–execution interface, not an initiating lesion.

Primary placement — Layer 2 (execution surfaces / membrane interfaces):
Mitochondria-associated membranes (MAMs) are specialized membrane contact sites that regulate ER–mitochondrial communication. Their integrity and regulation directly determine execution-surface stability, signal containment, and stress tolerance (Baral et al., 2025).

Secondary placement — Layer 3 (routing / throughput):
Calcium transfer from ER to mitochondria represents a high-impact routing decision. When gain, timing, or termination precision is impaired, stress signals are routed downstream with excessive intensity and duration (Baral et al., 2025).

Downstream expression — Layer 5 (recovery bandwidth):
Persistent ER stress, combined with mitochondrial fragmentation, reduces recovery depth and durability, increasing delayed vulnerability following stress exposure rather than uniformly altering baseline function (Baral et al., 2025).

2.2 Mechanistic chain

The literature supports the following convergent chain, abstracted for GLA interpretation:

  • Stress or injury produces an initial rise in cytosolic Ca2+ (Baral et al., 2025).
  • ER stress and unfolded protein response (UPR) activation impair timely signal resolution and recovery (Baral et al., 2025).
  • MAM coupling enables abnormal ER→mitochondrial Ca2+ transfer under sustained or poorly terminated stress (Baral et al., 2025).
  • Mitochondrial Ca2+ overload promotes oxidative stress, respiratory impairment, and energetic instability (Baral et al., 2025).
  • Mitochondrial dynamics shift via Ca2+-sensitive pathways (DRP1 activation, calpain-mediated OPA1 cleavage, calcineurin signaling), biasing the network toward fission and fragmentation (Baral et al., 2025).
  • Outcome: fragmented mitochondrial networks and prolonged ER stress collapse recovery bandwidth, producing delayed and amplified vulnerability to subsequent stressors (Baral et al., 2025).

2.3 The “control vs capacity” interpretation

This module highlights a core distinction within the GLA framework:

Control framing:
SERCA activity, MAM integrity, and calcium routing govern signal noise, gain, timing, and termination precision. Proper function limits downstream stress propagation and preserves recovery reliability (Baral et al., 2025; Rahi & Kaundal, 2025).

Capacity framing (explicitly rejected):
Simply increasing mitochondrial output or “boosting energy” does not address upstream routing and control failure and may exacerbate instability when stress signals remain poorly regulated.

GLA rule:
Precision and stability must be restored before any increase in throughput or drive. Control-layer correction precedes capacity-layer intervention.

2.4 Node map (functional “hardware list”)

Key components of the ER–MAM–mitochondrial calcium control module include:

  • ER Ca2+ handling: SERCA (SERCA2b, SERCA1a), IP3R
  • MAM tethering and bridging: MFN2, GRP75, PACS-2, Sigma-1 receptor (Sig-1R)
  • Mitochondrial entry and gating: VDAC, mitochondrial calcium uniporter complex (MCU/MICU)
  • Mitochondrial dynamics switch: DRP1 (fission), OPA1 (fusion)
  • Ca2+-responsive effectors: Calpain-2, calcineurin

Together, these nodes determine whether calcium signaling remains adaptive and contained or becomes amplifying and recovery-limiting under sustained stress (Baral et al., 2025).

2.5 “Damage reduction lever” — SERCA evidence box

Model: Oxygen–glucose deprivation / reperfusion (OGD/R) in mouse neuroblastoma (N2a) cells

Observed signal:

  • Reduced SERCA expression (SERCA1a and SERCA2b)
  • Intracellular Ca2+ overload
  • Elevated ER stress and apoptotic signaling

Intervention: CDN1163, a small-molecule SERCA activator

Observed effect:

  • Restoration of SERCA expression
  • Reduction of intracellular Ca2+ overload
  • Suppression of ER stress–associated injury

GLA interpretation:
SERCA activation functions as a control-layer stabilizer, restoring calcium reuptake capacity and reducing ER stress load without increasing metabolic drive. This supports calcium handling as a modifiable amplifier, not a fixed or initiating failure (Rahi & Kaundal, 2025).

GLA clarification — why SERCA activation is different

Within the GLA framework, SERCA activation (e.g., CDN1163 in experimental models) is interpreted as a control-layer stabilizer, not a metabolic or mitochondrial activator.

By improving ER Ca2+ reuptake and reducing cytosolic Ca2+ noise, SERCA activation reduces downstream stress propagation without increasing mitochondrial throughput, energetic demand, or execution pressure.

This distinguishes SERCA modulation from interventions that increase mitochondrial output, which can exacerbate instability when upstream signal termination remains impaired.

2.6 Genetics connection (pathway-level only)

Independent genetic studies of ME/CFS using distinct methodologies—including metabolite-linked genome-wide association studies (mGWAS) and hypothesis-free combinatorial genetic analyses—do not identify a single, reproducible gene set specific to ER–mitochondrial calcium handling. This is expected given the highly polygenic and state-dependent nature of ME/CFS, as well as the different biological layers interrogated by these approaches.

When interpreted at the pathway and control-layer level, however, these datasets show convergence on a consistent set of biological themes relevant to the present module. Across studies, enriched signals repeatedly implicate cellular stress-response machinery, calcium-dependent signaling and secretion, membrane and lipid maintenance, and immune signal duration and immune–neural routing. These themes align with the concept of fragile ER–MAM–mitochondrial calcium control acting as an amplifier of physiological stress rather than a primary disease origin.

Accordingly, genetic evidence is used here to support control-layer vulnerability and pathway-level convergence, not direct gene-level validation of ER–MAM calcium-handling components. The table below presents a constrained, illustrative subset of genes drawn from mGWAS and combinatorial analyses that map coherently onto this framework. Inclusion reflects relevance to shared pathway themes and GLA layer placement, not replication of specific ER–calcium machinery or claims of causality.

Interpretive boundaries

  • Allowed claim: Independent ME genetic studies and combinatorial genetic analyses converge at the pathway level on stress-response, calcium signaling, membrane stability, and immune–neural routing themes consistent with an ER–mitochondrial calcium control amplifier module.
  • Not allowed claim: The exact genes governing ER–MAM calcium handling replicate directly across all ME genetic studies.
  • Interpretive rule: Genetic evidence is used to support control-layer susceptibility and pathway-level plausibility, not gene-specific mechanism validation.

Cross-study genetic convergence (mGWAS + combinatorial genetics)

Purpose: Illustrate pathway-level convergence relevant to ER–MAM–mitochondrial Ca²⁺ routing without implying causality.

Gene Genetic source Dominant pathway signal GLA layer Why it belongs here
SCGN mGWAS + combinatorial Ca²⁺-dependent secretion / execution gain Layer 4 Amplifies autonomic/hormonal output once signals arrive (gain/overshoot risk under fragile control)
CPS1 mGWAS Recovery bandwidth / nitrogen handling Layer 5 Bottleneck for post-exertional recovery depth and system reset capacity
MYRF mGWAS Sphingomyelin / membrane stability Layer 2 Baseline execution-surface fragility that constrains signaling precision and recovery
TMEM258 mGWAS + combinatorial ER glycosylation / signal-quality stress Layer 1–2 Degrades receptor folding/turnover → noisy or prolonged signaling (lower termination quality)
NLRC5 mGWAS + combinatorial Immune signal duration / routing control Layer 1 Supports control-layer “duration/termination” framing rather than cytokine-excess framing
HERPUD1 mGWAS ER stress resolution / ERAD recovery Layer 1 Impaired stress-resolution increases “stuck-on” immune states and baseline erosion
ADAP1 mGWAS (heterogeneity) + combinatorial Immune–membrane signal routing / spillover Layer 1–2 Amplifies propagation from immune control into execution surfaces (routing problem, not inflammation)
NR1H3 (LXRα) mGWAS (heterogeneity) Lipid–immune coupling / routing buffer Layer 3 Constrains how lipid/metabolic stress is redistributed under immune pressure (throughput conditioning)
CETP mGWAS Lipid redistribution between compartments Layer 3–4 Shifts timing/availability of repair substrate delivery to membranes and endothelium
LIPC / LIPG mGWAS Lipoprotein remodeling / endothelial exposure Layer 3 Throughput-conditioning that can limit membrane repair substrate access during recovery windows

Interpretive guardrail: These genes illustrate pathway-level convergence across independent genetic methodologies (mGWAS and combinatorial analytics). Their inclusion does not imply causality, sufficiency, or a single shared mechanism. Instead, they support placing ER–Ca²⁺ routing as a genetically plausible amplifier module within a broader control-layer failure architecture.

3) Testable predictions

The following predictions are framed as empirical measurement targets intended to evaluate whether ER–mitochondrial calcium routing functions as a downstream amplifier within stress-sensitive illness states. They are not treatment recommendations.

P1 — Delayed association with post-load worsening

Markers of ER stress and unfolded protein response (UPR) activation—particularly those linked to mitochondria-associated membrane (MAM) integrity and signaling—should associate most strongly with post-load symptom worsening when assessed in a delayed window (~24–72 hours) rather than immediately after stress exposure (Baral et al., 2025; Glass et al., 2025).

P2 — Recovery resolution capacity predicts crash depth

Reduced capacity for calcium reuptake and signal resolution, reflected by impaired SERCA activity or related calcium-handling signatures, should predict greater delayed crash depth, independent of baseline symptom severity (Rahi & Kaundal, 2025; Baral et al., 2025).

P3 — Stress-linked shift in mitochondrial dynamics

In crash-prone states, markers indicating a bias toward mitochondrial fission relative to fusion should increase during or following stress exposure, consistent with reduced network resilience and recovery bandwidth (Baral et al., 2025).

P4 — Stability without capacity amplification

Conditions or interventions that lower ER stress and calcium signaling noise should improve physiological stability and recovery reliability without producing transient increases in perceived energy or drive, distinguishing control restoration from capacity amplification (“fake energy”) (Baral et al., 2025; Glass et al., 2025).

4) Figures

Placeholders only. Figures will be added later as SVG panels using the mint-clean figure wrappers.

Figure 1 — ER–MAM–Mitochondrial Calcium Amplifier Module (recommended)

Conceptual schematic

Optional insertion point

ER–MAM–Mitochondrial Ca2+ routing as a downstream amplifier Conceptual chain: upstream instability is converted into delayed recovery failure (amplifier, not initiator) AMPLIFIER MODULE Upstream instability Immune / autonomic / membrane-level ER stress UPR activation impaired resolution signal persistence MAM-mediated ER→mito Ca2+ excess transfer under poor termination Mito Ca2+ overload ROS / respiration instability Fission-dominant dynamics DRP1 / calpain / calcineurin → fragmentation bias Recovery bandwidth collapse delayed vulnerability after load impaired recovery reliability self-reinforcing persistence Emphasis: amplification + recovery limitation (not disease initiation)

Conceptual schematic illustrating how upstream instability is converted into delayed recovery failure: Upstream instability → ER stress → MAM-mediated ER→mitochondrial Ca2+ transfer → mitochondrial Ca2+ overload → fission-dominant dynamics → recovery bandwidth collapse. This figure emphasizes amplification and recovery limitation rather than disease initiation (Baral et al., 2025).

Figure 2 — Control vs capacity framing

Comparative panel

Optional insertion point

Control vs capacity: why “precision-first” precedes throughput Comparative panel: control-restoration ladder vs capacity-boost (“mito-boost”) approach Precision-first (control restoration) GLA rule Capacity-boost (“mito-boost”) Risk 1) Reduce signal noise & improve termination UPR/ER stress load ↓ · timing precision ↑ · lingering signals ↓ 2) Stabilize routing at ER–MAM Ca2+ interface ER→mito transfer gain ↓ · overload risk ↓ · resilience ↑ 3) Restore recovery bandwidth fragmentation bias ↓ · recovery reliability ↑ · delayed vulnerability ↓ 4) Only then consider capacity supports throughput ↑ only if control is stable Start here: increase mitochondrial output “more ATP” / “more drive” without routing control If termination is weak, stress propagates Ca2+ noise ↑ · ER stress persists · MAM transfer gain remains high Outcome: instability & “fake energy” risk transient drive ↑ but recovery reliability ↓ → delayed vulnerability ↑ Emphasis: improve routing, termination, and stability before throughput (control ≠ capacity)

Comparative panel contrasting a precision-first, control-restoration ladder with a capacity-boost (“mito-boost”) approach. The figure highlights how improving signal routing, termination, and stability precedes any increase in throughput or drive within the GLA framework (Baral et al., 2025; Rahi & Kaundal, 2025).

Figure 3 — SERCA as a control-layer stabilization lever

Mechanistic mini-panel

Optional insertion point

SERCA as a control-layer lever in Ca2+ overload injury Mini-panel: ischemia–reperfusion cell evidence framed as control restoration (mechanistic demonstration, not treatment) OGD/R injury pathway (observed) Signal Counterfactual with SERCA activation Lever OGD/R stress oxygen–glucose deprivation / reperfusion Intracellular Ca2+ overload cytosolic burden ↑ SERCA downregulation → ER stress reuptake capacity ↓ · UPR/ER stress ↑ · injury signaling ↑ CDN1163-mediated SERCA activation mechanistic lever in OGD/R model Restored ER Ca2+ reuptake Ca2+ homeostasis ↑ · overload risk ↓ ER stress & injury markers reduced UPR load ↓ · apoptotic signaling ↓ · cellular injury ↓ Framing: SERCA activation restores control (signal routing/termination) rather than increasing metabolic drive

Mini-panel summarizing ischemia–reperfusion cell evidence: OGD/R → intracellular Ca2+ overload → SERCA downregulation → ER stress, and the counterfactual: CDN1163-mediated SERCA activation → restored Ca2+ homeostasis → reduced ER stress and injury. Framed explicitly as a mechanistic demonstration, not a treatment claim (Rahi & Kaundal, 2025).

Figure 3 — SERCA as a control-layer stabilization lever (mechanistic demonstration)

Mini-panel summarizing ischemia–reperfusion cell evidence: OGD/R drives intracellular Ca²⁺ overload and SERCA suppression, increasing ER stress and injury. A counterfactual experimental lever—pharmacologic SERCA activation (CDN1163)—restores Ca²⁺ homeostasis and reduces ER stress/injury in these models. This figure is presented as mechanistic demonstration only and does not imply clinical efficacy.

Mechanistic panel (OGD/R models)
Read left → right: stressor → intracellular control failure → ER stress amplification → injury. Bottom lane shows a counterfactual “control restoration” lever (SERCA activation) used in experimental systems.
OGD/R calcium control failure → ER stress amplification SERCA (ER Ca²⁺ pump) is shown here as a control-layer lever that alters downstream ER stress and injury in cell models. OGD/R oxygen–glucose deprivation → reperfusion (ischemia–reperfusion model) ↑ intracellular Ca²⁺ overload / poor clearance ↓ SERCA activity ER Ca²⁺ reuptake falls ↑ ER stress UPR / folding strain ↑ injury cell stress / death signals Counterfactual lever experimental SERCA activation (e.g., CDN1163) SERCA activation ↑ ER Ca²⁺ uptake capacity Ca²⁺ homeostasis reduced Ca²⁺ overload ↓ ER stress less UPR pressure ↓ injury reduced damage Mechanistic demonstration lane above; counterfactual lever lane below (no clinical inference).

Figure 3. In ischemia–reperfusion (OGD/R) cell models, intracellular Ca²⁺ overload and reduced SERCA function co-occur with increased ER stress and injury. In experimental counterfactual designs, pharmacologic SERCA activation (e.g., CDN1163) restores Ca²⁺ handling and reduces ER stress/injury markers. Presented as a mechanistic demonstration relevant to an ER–mitochondrial calcium amplifier module, not as a treatment claim.

5) One-line GLA tag & module synthesis

One-line GLA tag

ER–mitochondrial calcium routing functions as a downstream amplifier that converts upstream instability into prolonged ER stress, mitochondrial fragmentation, and reduced recovery bandwidth—without acting as a disease-initiating mechanism.

GLA Module Summary

GLA layer context (orientation)
  • Layer 1 — Immune control & signal termination: Sets baseline signal duration and threat resolution.
  • Layer 2 — Execution surface stability: Governs membrane platforms where signals are executed and contained.
  • Layer 3 — Routing & throughput: Determines how strongly and how far signals and substrates are propagated.
  • Layer 4 — Distribution & buffering: Shapes systemic spread, timing, and severity of stress responses.
  • Layer 5 — Recovery bandwidth: Determines how fully and reliably systems return to baseline after stress.

Module: ER–Mitochondrial Calcium Routing (MAMs)
Type: Downstream amplifier

Primary layers:

  • Layer 2 — Execution surface stability (membrane interfaces)
  • Layer 3 — Routing / signal throughput

Downstream expression:

  • Layer 5 — Recovery bandwidth

Core role:
Converts upstream instability into prolonged ER stress and mitochondrial fragmentation through dysregulated Ca2+ routing, reducing recovery reliability after stress.

What it is not:

  • Not a disease-initiating mechanism
  • Not a PEM trigger by itself
  • Not a treatment target claim

Canonical takeaway:
Calcium routing at the ER–mitochondrial interface governs recovery bandwidth, not baseline energy.

6) References

  1. Baral, H., Kumari, D., Rahi, V., et al. (2025, December 4).
    ER–mitochondrial crosstalk in calcium regulation: Mechanistic insights and therapeutic implications in traumatic brain injury.
    Authorea.
    https://doi.org/10.22541/au.176484449.91668377/v1
    Full text
  2. Rahi, V., & Kaundal, R. K. (2025).
    A small-molecule activator of sarco/endoplasmic reticulum Ca2+-ATPase attenuates cerebral ischemia–reperfusion injury by suppressing endoplasmic reticulum stress and apoptosis.
    ACS Pharmacology & Translational Science.
    https://doi.org/10.1021/acsptsci.5c00151
    Publisher page
  3. Huang, K., Muneeb, M., Thomas, N., Schneider-Futschik, E. K., Gooley, P. R., Ascher, D. B., & Armstrong, C. W. (2026).
    Exploring a genetic basis for the metabolic perturbations in myalgic encephalomyelitis/chronic fatigue syndrome using UK Biobank.
    iScience, 29(1), Article 110577.
    https://doi.org/10.1016/j.isci.2025.110577
    Full text
  4. PrecisionLife Ltd. (2025).
    Combinatorial analysis identifies genetic networks associated with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).
    medRxiv (preprint).
    https://doi.org/10.1101/2025.12.01.25341362
    Preprint
  5. Glass, K. A., Giloteaux, L., Zhang, S., & Hanson, M. R. (2025).
    Extracellular vesicle proteomics uncovers energy metabolism, complement system, and endoplasmic reticulum stress response dysregulation post-exercise in males with myalgic encephalomyelitis/chronic fatigue syndrome.
    Clinical and Translational Medicine, 15(5), e70346.
    https://doi.org/10.1002/ctm2.70346
    PMC full text

Interpretive Framework Documents (GLA v2.1 → v2.5)

The documents listed below define the conceptual and methodological framework used to interpret genetic signals and physiological mechanisms in this paper. Collectively, they establish layer boundaries, phenotype discipline, and phase dependence within the Gut–Liver–Autonomic (GLA) system architecture.

These materials are provided for transparency and interpretive context only. They are not cited as evidentiary sources and should be read as evolving systems-biology models used to organize and constrain interpretation, rather than as claims of mechanism or causation.

Core GLA framework documents

SMPDL3B phenotype frameworks

Control layers & system modulators