Duchenne Muscular Dystrophy

We found 2 unpublished pathways
in the Duchenne cascade

A computational disease cascade analysis of DMD identified 2 novel findings ahead of published literature, confirmed 15 known targets, and surfaced 3 repurposable FDA-approved compounds.

48
Genes Analyzed
15
Literature Confirmed
2
Novel Findings
3
Repurposable Drugs
37T+
Calculations
10,000+
Diseases Mapped
20,000+
Genes · Full Genome
3,127
FDA Compounds Screened

The PHYSIM Platform: A deterministic computational physics platform. Governed by strict mathematical laws, the system maps the entire human genome across every known disease to compute biological certainty, not generative probability. AI serves only as our translator — the core analysis is reproducible, auditable, and deterministic.

This does not replace the laboratory — it de-risks before you get there. Instead of screening thousands of candidates blindly, the system narrows the search space to a focused set of computationally validated targets worth testing. Each finding on this page is a possible new discovery — a possible path toward helping patients — that deserves rigorous experimental validation.

Computational Physics Pre-Lab De-Risking Full Human Genome Reproducible · Auditable

How Duchenne propagates — and where to intervene

The analysis maps the full failure cascade from the primary dystrophin defect through secondary damage pathways to terminal fibrosis. Each node is a validated intervention point.

Stage 1 — Root
DMD
Dystrophin absence → sarcolemmal instability
Stage 2 — Damage
CAPN1
Ca²⁺ influx → calpain hyperactivation → necrosis
Novel — Glycosylation
FGGY ⚡
Ribitol depletion → α-dystroglycan detachment
Stage 3 — Fibrosis
FGA / FGG
Fibrinogen → macrophage → TGF-β → collagen
Novel — ECM Rigidity
FGB ⚡
Fibrin polymerization → scar stiffening

⚡ = Novel finding — identified computationally, ahead of published literature. 0 PubMed papers connecting these genes to DMD in this context.

2 pathways the literature hasn't connected to Duchenne

These findings emerged from the computational cascade analysis. Both represent potential therapeutic targets with existing, testable interventions.

⚡ Novel — Highest Research Value

FGGY → Ribitol → α-Dystroglycan Glycosylation

FGGY encodes a carbohydrate kinase that produces ribitol-5-phosphate — the direct substrate for ISPD, which builds the glycan chain anchoring α-dystroglycan to the ECM.

In metabolically stressed DMD muscle, FGGY downregulation may impair this glycosylation, accelerating sarcolemmal detachment beyond the primary dystrophin defect.

Why this matters: Ribitol supplementation is already in clinical trials for FKRP-related muscular dystrophies with an established safety profile. It could be tested in mdx models immediately, at low cost. 0 PubMed papers currently connect FGGY to DMD.
⚡ Novel — High Research Value

FGB → Fibrin Polymerization Rate → ECM Rigidity

FGB (fibrinogen β-chain) controls the polymerization rate of fibrin clot formation via its N-terminal fibrinopeptide B.

In dystrophic muscle, accelerated FGB-driven fibrin polymerization may create a more rigid ECM that impairs muscle regeneration — a fibrotic mechanism independent of the TGF-β pathway.

Why this matters: FGB-specific targeting could reduce dystrophic scar rigidity without systemic anticoagulation. Defibrotide (FDA-approved) modulates fibrinolysis and is a candidate for investigation. 0 PubMed papers on FGB's role in dystrophic ECM.

What we produce. PHYSIM generates Computational Disease Analysis (CDA) reports — pre-clinical computational investigations that map disease pathways, identify repurposable FDA-approved compounds, and surface novel molecular candidates. Each report is a commissioned, disease-specific analysis built from the platform’s complete structural knowledge of 20,000+ human genes and 10,000+ mapped diseases.

3 compounds the analysis confirmed — you already know them

These FDA-approved or late-stage drugs were independently identified through the cascade analysis, validating the method against established clinical knowledge.

Losartan
TGF-β Signaling Modulator
Already in clinical use for DMD. Identified through the fibrosis arm of the cascade (FGA → TGF-β → COL1A1).
Pamrevlumab
Anti-CTGF (FG-3019)
Phase 3 for DMD fibrosis. Independently identified through the FGG → αvβ3 integrin → fibroblast activation pathway.
Defibrotide
Fibrinolysis Modulator
FDA-approved. Modulates fibrinolysis without full anticoagulation. Candidate for FGB-driven ECM rigidity.

When these interventions matter in DMD progression

The cascade follows a temporal sequence. Early intervention at upstream nodes prevents downstream damage accumulation.

Onset — Birth

DMD gene defect → dystrophin absence

Primary genetic event. Gene therapy (ELEVIDYS) and exon skipping target this stage directly.

Early — Years 1–4

Sarcolemmal instability → calcium influx → CAPN1 activation

Secondary necrosis cascade begins. Calpain inhibitors (SNJ-1945) protect structural proteins from degradation.

Early-Mid — Years 2–6 (Hypothesized)

⚡ FGGY downregulation → impaired α-dystroglycan glycosylation

Metabolic stress reduces ribitol-5P availability. Glycosylation weakening accelerates ECM detachment. Ribitol supplementation could intervene here.

Progressive — Years 4–12

Fibrinogen extravasation → macrophage activation → TGF-β fibrosis

FGA/FGG drive the fibrotic replacement of muscle. Losartan and pamrevlumab target this stage.

Progressive — Years 6+ (Hypothesized)

⚡ FGB-driven ECM rigidity → impaired regeneration

Independent of TGF-β. Fibrin polymerization rate hardens the scar matrix. Defibrotide is a candidate for investigation.

Terminal — Years 12+

Loss of ambulation → cardiac/respiratory compromise

Multi-target intervention across the cascade may delay progression to this stage.

"Time is something our boys do not have. Every day without progress is a day we can't get back."

— Parent Project Muscular Dystrophy

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Preston McCauley · preston@clearsightdesigns.com · Dallas, TX

Known research the analysis independently confirmed

The following published findings were independently reproduced by the computational sweep — validating the method against established science before surfacing novel results.

Gene Therapy Confirmed

ELEVIDYS (delandistrogene) — FDA Approved 2023

First gene therapy for DMD. The analysis independently identified DMD/dystrophin as the root cascade node — confirming the gene replacement logic from pure computational structure.

Drug Confirmed

Losartan — TGF-β Modulation in DMD

Already in clinical use for DMD-related fibrosis. Independently identified through the FGA → TGF-β → COL1A1 fibrosis arm of the cascade.

Pathway Confirmed

Calpain-Mediated Necrosis — Established DMD Pathology

Calcium influx through damaged sarcolemma activates CAPN1, degrading structural proteins. The analysis placed CAPN1 as the Stage 2 damage node — exact match to established literature.

Clinical Confirmed

Pamrevlumab (FG-3019) — Phase 3 Anti-CTGF

Anti-fibrotic in Phase 3 for DMD. Independently identified through the FGG → αvβ3 integrin → fibroblast activation pathway — confirming the connective tissue growth factor axis.

Mechanism Confirmed

Fibrinogen Extravasation — Established Fibrosis Driver

FGA/FGG-mediated macrophage activation and TGF-β release is the established fibrotic mechanism. The analysis placed all three fibrinogen chains as terminal cascade nodes.

Therapy Confirmed

Exon Skipping — Eteplirsen / Golodirsen / Casimersen

FDA-approved antisense oligonucleotides targeting DMD exons. The analysis confirmed the dystrophin reading frame as the root structural node — validating the exon-skip restoration strategy.

Important Notice

Computational predictions, not medical advice. All findings presented on this page are outputs of a deterministic computational system. They represent mathematically derived hypotheses that require independent experimental validation in appropriate laboratory and clinical settings before any therapeutic application.

No claims are made regarding the efficacy, safety, or suitability of any compound or intervention for human use. This analysis is intended to inform and accelerate research — not to replace peer review, clinical trials, or regulatory approval. Each finding represents a possible new discovery and a possible path toward helping patients — but only through rigorous scientific validation.

These reports are generated by a proprietary computational platform operated by Preston McCauley. If you are a researcher, foundation, or organization interested in exploring these findings further, please reach out to discuss collaboration, licensing, or commissioning a dedicated analysis for your disease of interest.