What Are Autoimmune Demyelinating Diseases?
Autoimmune demyelinating diseases are a family of CNS conditions in which adaptive and innate immune mechanisms converge on myelin, oligodendrocytes, and the axons they insulate, producing recurrent or progressive white matter injury. The group encompasses multiple sclerosis (MS) in its relapsing-remitting and progressive forms, neuromyelitis optica spectrum disorder (NMOSD), MOG antibody-associated disorder (MOGAD), acute disseminated encephalomyelitis (ADEM), and a spectrum of experimental models including the classical MOG35-55 EAE, MP4 EAE, B cell-dependent EAE, passive-transfer NMOSD, and the Theiler murine encephalomyelitis virus (TMEV) model. Despite their individual immunopathological signatures – T cell-dominant in MS, astrocyte-targeting aquaporin-4 antibodies in NMOSD, MOG-specific IgG in MOGAD – these entities share common downstream effector cascades: complement activation, microglial and macrophage-mediated myelin stripping, secondary axon degeneration, and oligodendrocyte loss.
This page focuses specifically on the shared and divergent mechanisms across autoimmune demyelinating entities and their common visual-system translational endpoints, sitting above the narrower disease-specific pages for individual conditions.
This topic spans multiple application areas, including: Neuroinflammation and Autoimmune CNS Disease, Ocular Inflammation and Immune-Mediated Eye Disease, Rare and Inherited CNS and Eye Disorders (such as Pelizaeus-Merzbacher disease), Systemic Aging and CNS Decline, Optic Neuritis,, Optic Nerve Damage and Axon Degeneration
Why Vision? The Optic Nerve as the Shared Sentinel Endpoint for Autoimmune Demyelinating Research
If you work on MS, NMOSD, or MOGAD and do not primarily study the eye, the visual system is still a strategically important endpoint for your preclinical work. The optic nerve is a tract of CNS white matter that is anatomically isolated, optically accessible, and functionally quantifiable. All three major autoimmune demyelinating entities preferentially attack the optic nerve – MS produces optic neuritis in up to 50 percent of patients, NMOSD optic neuritis is typically more severe and bilateral, and MOGAD produces optic neuritis as its most common clinical feature. This convergence is not coincidental: the optic nerve shares the myeloarchitecture and immune access routes of spinal and brain white matter, but adds the practical advantage that its function can be read out non-invasively and repeatedly via optomotor acuity (OptoDrum), pattern ERG, VEP, and OCT-RNFL in the same living animal.
For spinal cord or brain-focused MS researchers, this means optic nerve function provides a complementary, quantifiable, non-invasive window on the demyelinating process that does not require terminal endpoints at each time point. OptoDrum in particular measures the subcortical optomotor reflex – a retina-to-brainstem pathway – in awake, freely moving rodents without anaesthesia, enabling repeated longitudinal sampling across relapse and remission cycles, drug washout periods, and aging time courses that would be impractical with invasive endpoints alone.
Common Animal Models for Autoimmune Demyelinating Disease Research
- MOG35-55 EAE (T cell-driven, relapsing or monophasic): The most widely used MS model. Active immunisation with MOG35-55 peptide in C57BL/6 mice elicits a CD4+ T cell-dominated CNS autoimmune attack. Optic neuritis is a consistent feature; OptoDrum has quantified visual acuity loss and recovery across relapse-remission cycles in this model.
- MP4 EAE (chronic progressive; T cell + B cell): Immunisation with MBP-PLP4 fusion protein produces a chronic progressive demyelinating course that better models the progressive MS phenotype. Visual pathway involvement is documented with OptoDrum-based longitudinal tracking.
- B cell-dependent EAE (humoral component; MOG antibody-positive): A variant model in which B cell responses and MOG-specific antibodies drive demyelination alongside T cell-mediated inflammation, bridging the classical EAE paradigm to MOGAD immunopathology. OptoDrum documents functional visual consequences of the humoral immune attack. (Joly et al., 2022, J Neuroinflammation.)
- NMOSD passive-transfer model (AQP4-IgG): Passive transfer of aquaporin-4-specific antibodies recapitulates the astrocyte-targeted pathology of NMOSD, including severe optic nerve inflammation. OptoDrum has characterised the functional visual profile of AQP4-antibody-mediated attack, distinguishing it from classical EAE. (Remlinger et al., 2023, Neurol Neuroimmunol Neuroinflamm.)
- CX3CR1 microglial model (aging-demyelination interaction): A model combining aging and autoimmune inflammation in which microglial CX3CR1 signalling drives optic nerve demyelination. OptoDrum documents functional visual consequences longitudinally, making this model uniquely suited to studying the age-accelerated demyelination axis. (Groh et al., 2025, Nat Neurosci.)
- PLP-deficient model (Pelizaeus-Merzbacher disease; rare inherited demyelination): PLP1 mutations cause Pelizaeus-Merzbacher disease, an X-linked leukodystrophy. This model provides evidence that microglial demyelination context determines functional outcome even in non-autoimmune demyelinating disease, with OptoDrum tracking visual acuity as a functional correlate of myelination across disease stages. (Groh et al., 2023, Nat Commun.)
How Can Striatech Tools support Your Study?
01How Do MS, NMOSD, and MOGAD Differ in Their Immune Mechanisms and Visual Phenotypes, and Which Preclinical Models Best Capture Each?Audience A - Vision-focusedAudience B - CNS/Systemic
Quick Answer
The challenge
A key translational problem in the demyelinating disease field is that many preclinical studies use classical MOG35-55 EAE as a generic demyelinating disease proxy, when in fact MS, NMOSD, and MOGAD differ substantially in the immune compartments driving damage. NMOSD is driven primarily by AQP4-specific antibodies that activate complement and recruit granulocytes to attack astrocytes, producing more severe and often bilateral optic neuritis with poor recovery. MOGAD involves MOG-specific IgG that targets the oligodendrocyte surface, producing a more pronounced humoral attack on myelin itself. MS combines T cell-driven inflammation with a substantial B cell and antibody component, particularly in its progressive forms.
This heterogeneity means that a treatment effective in MOG35-55 EAE may not translate to NMOSD or MOGAD. The visual system provides a common functional endpoint across these entities: optic neuritis is a cardinal feature of all three, and OptoDrum-measured visual acuity provides a model-agnostic readout of the severity and recovery of optic nerve injury. However, using the same model for all three diseases conflates their distinct mechanisms and fails to predict treatment response in the clinic.
How Striatech products help
Evidence from the Literature
- Developed and characterised EAE-based rodent models for NMOSD and MOGAD, using OptoDrum to establish the distinct functional visual profiles of AQP4-antibody and MOG-antibody-mediated optic pathway attack.
- Characterised a B cell-dependent EAE model incorporating MOG-specific antibody responses that bridge the MS and MOGAD spectra. OptoDrum documented the functional visual consequence of B cell/antibody-driven demyelination, establishing that humoral autoimmunity produces a distinct OMR-measurable visual phenotype from purely T cell-driven models.
02What Shared Mechanisms of T Cell, B Cell, and Antibody-Mediated Injury Operate Across Autoimmune Demyelinating Syndromes, and How Are They Captured with Functional Visual Endpoints?Audience A - Vision-focusedAudience B - CNS/Systemic
Quick Answer
The challenge
A critical unresolved question in demyelinating disease research is whether the downstream effectors of axon damage are sufficiently conserved across MS, NMOSD, and MOGAD to justify the same neuroprotective strategies across diseases, or whether disease-specific immune mechanisms produce distinct axonal injury signatures requiring tailored interventions. In MS, the primary T cell wave is followed by secondary oligodendrocyte apoptosis and Wallerian axon degeneration; in NMOSD, complement-driven astrocyte loss leads to a bystander axon injury pattern; in MOGAD, MOG-IgG at the oligodendrocyte surface may trigger a more direct myelin stripping with preserved axon integrity in early stages. Functionally quantifying these differences – and whether they produce different OMR trajectories – is a prerequisite for rational target selection across the disease spectrum.
A particularly important shared mechanism is microglia-mediated myelin processing, whose role has been reframed from uniformly pathological to context-dependent. Groh et al (2023, Nat Commun.) demonstrated that microglial demyelination in the PLP-deficient model is protective, preserving axon integrity and visual function, while Groh et al (2025, Nat Neurosci.) demonstrated that CX3CR1-dependent microglial activation in an aging-autoimmune model drives destructive optic nerve demyelination. This dual biology – protective vs pathological microglial demyelination – is a cross-entity mechanism with direct relevance to therapeutic targeting of microglia in MS, NMOSD, and MOGAD.
How Striatech products help
Evidence from the Literature
- Demonstrated that controlled microglial demyelination is protective rather than damaging in PLP1-deficient mice, using OptoDrum to show preserved visual function when microglial myelin removal was intact. Establishes the context-dependence of microglial demyelination as a cross-entity mechanism relevant to MS and genetic leukodystrophy, relevant to both autoimmune and genetic demyelinating diseases.
03How Can Visual-Function Endpoints Benchmark Disease-Modifying and Neuroprotective Therapies Across Multiple Autoimmune Demyelinating Models?Audience A - Vision-focusedAudience B - CNS/Systemic
Quick Answer
The challenge
Preclinical demyelinating disease therapy benchmarking is hampered by the use of different readouts across studies – motor clinical scoring in EAE, histological axon counts, or electrophysiological VEP – that are difficult to compare across laboratories or disease models and poorly predict clinical visual outcomes. The need for a standardised functional visual endpoint that (1) is non-invasive, (2) can be repeated longitudinally, (3) is quantitative and operator-independent, and (4) integrates the net effect of demyelination and neuroprotection on a visual circuit is acute. OptoDrum fills this role: because the optomotor reflex depends on the integrity of the entire retina-to-brainstem pathway, it captures the integrated consequence of treatment effects at any level from oligodendrocyte survival to axon preservation to RGC survival.
An additional challenge is that different therapeutic strategies target different immune compartments – T cell suppression, B cell depletion, antibody clearance, metabolic rescue, microglial modulation – and the relative contribution of each varies by disease entity. An endpoint that is equally sensitive to all these mechanisms enables their comparison within a unified experimental framework.
How Striatech products help
Evidence from the Literature
- Demonstrated that pharmacological HIF-1 inhibition reduces optic nerve hypoxia and preserves visual acuity in EAE, using OptoDrum as the primary functional endpoint. Establishes the metabolic-inflammatory interface as a druggable axis for visual neuroprotection in demyelinating disease.
- Validated FcRn blockade (efgartigimod class) as a strategy for reducing circulating MOG-IgG and attenuating antibody-mediated optic neuritis in an EAE/MOGAD model, with OptoDrum documenting visual function preservation as the translational functional endpoint.
- Used conditional deletion of histidine decarboxylase in specific immune cell populations to demonstrate that histaminergic signalling modulates EAE severity and functional visual outcomes, with OptoDrum confirming that histamine pathway manipulation alters OMR-measured visual acuity. Establishes the histaminergic neuroimmune axis as a pharmacologically accessible target in autoimmune demyelinating disease.
04How Does Aging Amplify Autoimmune Demyelinating Damage, and What Do Longitudinal Optomotor Trajectories Reveal About the Age-Accelerated Disease Course?Audience A - Vision-focusedAudience B - CNS/Systemic
Quick Answer
Also see: Systemic Aging and CNS Decline
The challenge
The majority of preclinical MS and autoimmune demyelinating disease research uses young adult animals (8-12 weeks), yet the clinical disease course of MS is substantially modified by aging: secondary progressive MS is age-dependent, older patients have worse recovery from relapses, and primary progressive MS is predominantly a disease of midlife and beyond. The biological mechanisms underlying age-acceleration of demyelinating disease are incompletely understood but implicate immunosenescence (altered T cell repertoire, accumulation of exhausted or cytotoxic CD8+ T cells in white matter), microglial senescence (reduced homeostatic surveillance, amplified CX3CR1-dependent inflammatory activation), and reduced oligodendrocyte precursor cell regenerative capacity.
Functionally capturing the aging-demyelination interaction requires longitudinal endpoints that can be applied repeatedly across months in aging cohorts without the cumulative invasiveness of anaesthesia-dependent methods. OptoDrum meets this requirement: measurements take minutes per animal without sedation, enabling weekly or monthly tracking of visual acuity decline in aging EAE or aging-microglial-activation cohorts alongside younger controls.
How Striatech products help
Evidence from the Literature
- Demonstrated that age-related microglial activation via CX3CR1 drives optic nerve demyelination and RGC death, with OptoDrum documenting the functional visual decline in aged autoimmune animals. Establishes CX3CR1-dependent microglial senescence as a mechanistic amplifier of age-accelerated demyelinating optic nerve injury.
- Demonstrated that CD8+ cytotoxic T cells accumulate progressively in aged CNS white matter and drive axon degeneration, using OptoDrum to track the functional visual consequence longitudinally as a biomarker of immunosenescence-driven neuroinflammation. Provides the foundational evidence for adaptive immune aging as a driver of demyelinating visual pathway decline.
05How Does Microglial Biology Define the Functional Outcome of Demyelination – Protective Versus Pathological – and What Visual Endpoints Distinguish These Roles Across Autoimmune Demyelinating Models?Audience A - Vision-focusedAudience B - CNS/Systemic
Quick Answer
The challenge
Microglia-targeting is one of the most active therapeutic strategies in CNS demyelinating disease, with agents ranging from CSF1R inhibitors (suppressive) to BTK inhibitors (modulatory) entering clinical development for MS. A central challenge is that preclinical studies have produced contradictory evidence: some show that microglial depletion or suppression worsens remyelination by removing myelin debris; others show that microglial activation drives axon loss and clinical worsening. This contradiction reflects genuine biological context-dependence rather than model artefact.
Groh et al. have published a direct evidence of this duality within the autoimmune demyelinating disease context, using the same functional endpoint (OptoDrum-measured visual acuity) in both a protective and a destructive microglial demyelination scenario.
How Striatech products help
Evidence from the Literature
- Established the pathological side of microglial duality: CX3CR1-dependent microglial activation drives optic nerve demyelination and RGC death in an aging-autoimmune context, documented with OptoDrum as the functional visual endpoint.
- Established the protective side of microglial duality: controlled microglia-mediated myelin removal in PLP1-deficient mice prevents secondary axon degeneration and preserves visual acuity measured by OptoDrum.
Summary: Striatech Products supporting your research questions
| Research Question | OptoDrum | ScotopicKit | AcuiSee | Photorefractor | Keratometer | DarkAdapt | Non-aversive platform |
|---|---|---|---|---|---|---|---|
| Cross-disease visual phenotype comparison (MS vs NMOSD vs MOGAD) | Yes | Yes | Yes | ||||
| Shared T cell / B cell / antibody injury mechanisms | Yes | Yes | Yes | Yes | |||
| Disease-modifying therapy benchmarking | Yes | Yes | Yes | ||||
| Aging-demyelination interaction (longitudinal) | Yes | Yes | Yes | ||||
| Microglial dual-role demyelination context | Yes | Yes |
Measuring Functional Visual Outcomes in Autoimmune Demyelinating Diseases: How Do Available Methods Compare?
| Modality | What It Measures | Invasiveness | Repeatability in the same animal | Cross-model comparability | 3Rs relevance |
|---|---|---|---|---|---|
| OptoDrum (Striatech) | Spatial visual acuity and contrast sensitivity via optomotor reflex (subcortical retina-to-brainstem) | Non-invasive; no anaesthesia | High; daily or weekly possible | High; identical metric across EAE, NMOSD, MOGAD, and aging models | Refinement (no restraint, no anaesthesia); enables Reduction by replacing terminal cohorts for functional readouts |
| AcuiSee (Striatech) | Visual acuity via operant forced-choice paradigm (cortical processing required) | Non-invasive; food restriction required for motivation | High after training phase (10-14 days) | High; cortical complement to OptoDrum across models | Refinement; provides psychophysical cortical endpoint; no anaesthesia |
| Visual Evoked Potential (VEP) | Cortical response to visual stimulation; latency and amplitude reflect retino-cortical conduction and demyelination severity | Invasive; surgical electrode implantation typically required | Low to moderate depending on implant | Moderate; latency changes specifically sensitive to demyelination; widely used in MS trials as a translational endpoint | Lower 3Rs score due to surgical invasiveness; complements OMR for the cortical and conduction dimension |
| Optical coherence tomography (OCT) | Retinal nerve fibre layer (RNFL) and ganglion cell layer (GCL) thickness; structural endpoint only | Low to moderate; typically requires anaesthesia or restraint in rodents | High | High; RNFL thinning is a validated MS biomarker in both clinical and preclinical use | Structural endpoint; does not measure functional vision; complements OMR for structure-function correlation |
| EAE clinical motor scoring | Hind-limb paralysis and body weight; reflects spinal cord involvement | Non-invasive | High | Low; scores are not directly comparable across induction protocols or disease entities | Moderate; does not capture visual pathway involvement; subjective and scale-dependent |
| Histological RGC and axon counting | RGC soma and optic nerve axon density at a single terminal time point | Terminal | None | Moderate; consistent across models if methodology is standardised | Terminal; complements repeated OMR measurements as the structural correlate at study end |
Publications on Autoimmune Demyelinating Diseases
Related application areas, neighbouring research chapters, and the questions researchers ask most.
Autoimmune Demyelinating Diseases
Multiple sclerosis, NMOSD, MOGAD, and their experimental analogues — distinct immunopathologies that converge on shared cascades of complement activation, microglial myelin stripping, and secondary axon degeneration.
This page has been generated in part with support of AI. Before publication it has been reviewed by a Striatech editor.
Last updated: 15 July 2026