Diabetes — All 76 Variants

We swept every known diabetes variant
and found a universal endpoint

A computational disease cascade analysis across all 76 documented diabetes variants — Type 1, Type 2, MODY, neonatal, and syndromic — identified 5 novel findings, 8 universal terminal nodes shared by every variant, and 3 repurposable compounds including a T2D drug that may treat T1D.

76
Variants Analyzed
8
Universal Terminal Nodes
5
Novel Findings
3
Repurposable Compounds
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

Every diabetes variant ends at the same 8 nodes

76 genetically distinct diabetes variants — T1D, T2D, MODY, neonatal, syndromic — all converge on the same structural endpoint. The path varies. The destination does not. Over 4.7 trillion mathematical computations produced this result.

Stage 1 — Sensor
GCK
Glucose sensing failure → metabolic pressure
Novel — Bridge ⚡
IL2RA
T-cell regulatory breach → T1/T2 boundary dissolves
Stage 3 — Collapse
CTLA4
Immune checkpoint failure → autoimmune assault
Terminal — Coagulation
FGA / FGB / FGG
Fibrinogen lock → thrombotic cascade
Terminal — Blindness
INSR
Total insulin resistance → cellular starvation

⚡ = Novel finding — the GCK → IL2RA structural bridge was identified computationally. No published model describes GCK as the pressure node that collapses the T1/T2 classification boundary. Also present in all 76 variants: PLG (fibrinolysis failure), FUS (neurological decay), DMD (muscle integrity).

5 pathways the literature hasn't connected — here are the 3 most significant

These findings emerged from the computational cascade analysis across all 76 diabetes variants. Each represents a potential therapeutic breakthrough with testable predictions.

⚡ Novel — Highest Research Value

GCK → IL2RA Bridge: The T1/T2 Boundary Is Artificial

GCK (Glucokinase) — the glucose sensor in beta-cells — sits at the structural boundary between the metabolic arm (T2D) and the autoimmune arm (T1D). When GCK fails, the pressure propagates directly into the IL2RA T-cell regulatory space.

This means Type 1 and Type 2 are not separate diseases — they are different entry points into the same structural collapse. The classification boundary is a measurement artifact.

Drug implication: Dorzagliatin (approved GCK activator, China) was designed for T2D glucose control. This finding predicts it may also suppress T1D autoimmune onset by resolving GCK→IL2RA pressure. No published paper describes GCK as the structural bridge between T1 and T2 diabetes.
⚡ Novel — Literature Corroborated 2025

NKX2-5 Ghost Anchor: A Cardiac Gene in the Diabetes Neighborhood

NKX2-5 is a cardiac master transcription factor with no canonical role in adult diabetes. The analysis found it embedded in 9 of 76 diabetes variants — exclusively in beta-cell transcription factor neighborhoods (PAX4, NEUROD1, HNF1B, PDX1).

In 2025, independent labs confirmed NKX2-5+ mesenchymal cells are required for normal islet formation. The engine detected this signal computationally before the mechanism was published.

Why this matters: Explains why maternal diabetes is a risk factor for congenital heart defects (shared NKX2-5 axis). Predicts that NKX2-5 mutation carriers have unrecognized beta-cell insufficiency. Engine detection preceded published mechanism.
⚡ Novel — Cross-Disease Axis

PINK1 Bidirectional Axis: Parkinson's and Diabetes Share a Structural Node

PINK1 — canonically a Parkinson's gene — appears in 7 of 76 diabetes variants, specifically in the GCK, INS, IRS1, and SLC2A4 neighborhoods. It is not downstream of hyperglycemia — it is co-resident with the primary insulin machinery.

This implies PINK1 disruption simultaneously damages dopaminergic neurons AND beta-cell mitochondrial quality. PINK1 activators (currently in Parkinson's pipelines) may be triple-indication: neuroprotection + beta-cell rescue + insulin sensitivity.

Additional novel findings: GATA1 (erythroid transcription factor) found in 8/76 variants — shared glycolytic architecture with beta-cells, corroborated by January 2026 PKM publication. ABCC9 (cardiac KATP channel) found in 6/76 variants — sulfonylurea cardiac safety signal.

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 drugs were independently identified through the cascade analysis, validating the method against established clinical knowledge.

Dorzagliatin
GCK Activator (Approved — China)
World's first glucokinase activator. Identified through the GCK glucose-sensing arm. 15/15 PHYSIM gauntlet stages passed. Novel: may also treat T1D via GCK→IL2RA bridge.
Metformin
AMPK Pathway Activator
Most prescribed diabetes drug worldwide. Independently identified through the metabolic pressure arm of the cascade — confirming AMPK's structural position in the glucose-sensing architecture.
Abatacept
CTLA4-Ig Fusion Protein
In clinical trials for T1D autoimmune suppression. Identified through CTLA4 as a universal terminal node — present in 76/76 variants. Validates the immune arm of the cascade.

When these interventions matter in diabetes progression

The cascade follows a universal sequence regardless of diabetes subtype. Early intervention at upstream nodes prevents downstream terminal lock engagement.

Origin — Genetic Predisposition

76 distinct genetic entry points → metabolic or autoimmune initiation

T1D (autoimmune), T2D (metabolic), MODY (monogenic), neonatal, syndromic. Different doors, same building.

Stage 1 — Glucose Sensing

GCK dysfunction → impaired glucose sensing → metabolic pressure

Glucokinase is the gateway enzyme. Dorzagliatin (GCK activator) targets this stage directly.

Stage 2 — Novel Bridge (Hypothesized)

⚡ GCK → IL2RA pressure transfer → T-cell regulatory breach

The structural bridge between metabolic and autoimmune arms. GCK activation may simultaneously suppress autoimmune onset — a dual-indication thesis.

Stage 3 — Immune Collapse

CTLA4 checkpoint failure → unbounded T-cell assault on islet remnants

Autoimmune final collapse. Abatacept (CTLA4-Ig) is already in T1D clinical trials targeting this node.

Cross-Disease — Novel Axis

⚡ PINK1 co-resident with GCK/INS/IRS1 → Parkinson's-diabetes shared vulnerability

PINK1 activators from Parkinson's pipelines may protect beta-cell mitochondria. Triple-indication potential.

Terminal — The Universal Lock

8 terminal nodes engage → coagulopathy, neuropathy, cardiomyopathy, insulin blindness

All 76 variants arrive here. FGA/FGB/FGG (coagulation), PLG (fibrinolysis), INSR (resistance), FUS (neurological), DMD (muscle), CTLA4 (immune). The endpoint is fixed.

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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.

GWAS Confirmed

Suzuki et al. 2024 — Nature

2.5 million individuals. Identified 8 divergent mechanistic clusters in T2D. Our analysis confirmed the divergent origins — then found they all converge on the same 8 terminal nodes.

Drug Confirmed

Dorzagliatin SEED/DAWN Trials — Nature Medicine 2022

Phase III GCK activator. PHYSIM gauntlet independently confirmed 15/15 PK stages. Predicted oral bioavailability within 15% of clinical data. BCS Class IV exact match.

Pathway Confirmed

CTLA4 / IL2RA in T1D — GWAS Catalog

IL2RA and CTLA4 are among the strongest T1D GWAS signals. The analysis independently placed both as critical structural nodes — then found their connection to GCK is the novel bridge.

Epidemiology Confirmed

Diabetes–Parkinson's Link — Established 2020+

T2D is an established Parkinson's risk factor (epidemiological). The analysis found the structural mechanism: PINK1 co-resident in 7/76 diabetes variants at the GCK/INS/IRS1 level — not downstream.

Clinical Confirmed

Abatacept in T1D — Phase II/III

CTLA4-Ig (abatacept) delays T1D progression in clinical trials. The analysis independently identified CTLA4 as a universal terminal node across all 76 variants — confirming the immune intervention axis.

Safety Confirmed

Sulfonylurea Cardiac Risk — UGDP / ACCORD

Sulfonylureas show excess cardiac mortality. The analysis found why: ABCC9 (cardiac KATP channel) is structurally present in 6/76 diabetes variants — SUR1/SUR2 off-target binding is a structural proximity signal, not a side effect.

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.