Glycan Pattern Disruption via Metabolic Intervention

Target: HK1 Composite Score: 0.455 Price: $0.52▲6.0% Citation Quality: Pending neurodegeneration Status: active
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✓ All Quality Gates Passed
Evidence Strength Pending (0%)
4
Citations
1
Debates
4
Supporting
2
Opposing
Quality Report Card click to collapse
C
Composite: 0.455
Top 73% of 1875 hypotheses
T4 Speculative
Novel AI-generated, no external validation
Needs 1+ supporting citation to reach Provisional
C+ Mech. Plausibility 15% 0.50 Top 76%
C+ Evidence Strength 15% 0.50 Top 57%
C+ Novelty 12% 0.50 Top 82%
C+ Feasibility 12% 0.50 Top 65%
F Impact 12% 0.00 Top 50%
C+ Druggability 10% 0.50 Top 57%
C+ Safety Profile 8% 0.50 Top 57%
C+ Competition 6% 0.50 Top 77%
C+ Data Availability 5% 0.50 Top 71%
C+ Reproducibility 5% 0.50 Top 63%
Evidence
4 supporting | 2 opposing
Citation quality: 0%
Debates
1 session A+
Avg quality: 0.95
Convergence
0.00 F 30 related hypothesis share this target

From Analysis:

Do tau-containing vesicles exhibit unique surface glycosylation patterns that distinguish them from normal vesicles?

The debate proposed targeting vesicle surface glycans but acknowledged no published data demonstrates unique glycosylation patterns on tau-containing vesicles. This fundamental question must be resolved before glycan-based targeting strategies can be pursued. Source: Debate session sess_SDA-2026-04-08-gap-debate-20260406-062052-81a54bfd (Analysis: SDA-2026-04-08-gap-debate-20260406-062052-81a54bfd)

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Description

Metabolic modulators that alter cellular sugar nucleotide pools (like 2-deoxy-D-glucose analogs) could selectively disrupt the aberrant glycosylation patterns on tau vesicles while preserving normal cellular glycosylation, creating a therapeutic window for intervention.

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Dimension Scores

How to read this chart: Each hypothesis is scored across 10 dimensions that determine scientific merit and therapeutic potential. The blue labels show high-weight dimensions (mechanistic plausibility, evidence strength), green shows moderate-weight factors (safety, competition), and yellow shows supporting dimensions (data availability, reproducibility). Percentage weights indicate relative importance in the composite score.
Mechanistic 0.50 (15%) Evidence 0.50 (15%) Novelty 0.50 (12%) Feasibility 0.50 (12%) Impact 0.00 (12%) Druggability 0.50 (10%) Safety 0.50 (8%) Competition 0.50 (6%) Data Avail. 0.50 (5%) Reproducible 0.50 (5%) KG Connect 0.50 (8%) 0.455 composite
6 citations 6 with PMID 6 medium Validation: 0% 4 supporting / 2 opposing
For (4)
4
2
(2) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
5
1
MECH 5CLIN 1GENE 0EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
Latent trait modeling of tau neuropathology in pro…SupportingCLINActa Neuropatho… MEDIUM2021-PMID:33635380-
Alcohol drinking exacerbates neural and behavioral…SupportingMECHInt Rev Neurobi… MEDIUM2019-PMID:31733664-
Dysregulated glucose metabolism in the visual cort…SupportingMECHFront Aging Neu… MEDIUM2026-PMID:42038694-
Suppression of hnRNP A1 binding to HK1 RNA leads t…SupportingMECHFront Aging Neu… MEDIUM2023-PMID:37744386-
HK1 and HK2 Beyond Glycolysis: Mitochondrial Inter…OpposingMECHAdv Biol (Weinh… MEDIUM2026-PMID:41387352-
Alcohol drinking exacerbates neural and behavioral…OpposingMECHInt Rev Neurobi… MEDIUM2019-PMID:31733664-
Legacy Card View — expandable citation cards

Supporting Evidence 4

Latent trait modeling of tau neuropathology in progressive supranuclear palsy. MEDIUM
Acta Neuropathol · 2021 · PMID:33635380
Alcohol drinking exacerbates neural and behavioral pathology in the 3xTg-AD mouse model of Alzheimer's disease… MEDIUM
Alcohol drinking exacerbates neural and behavioral pathology in the 3xTg-AD mouse model of Alzheimer's disease.
Int Rev Neurobiol · 2019 · PMID:31733664
Dysregulated glucose metabolism in the visual cortex of human subjects with mild cognitive impairment and Alzh… MEDIUM
Dysregulated glucose metabolism in the visual cortex of human subjects with mild cognitive impairment and Alzheimer's disease.
Front Aging Neurosci · 2026 · PMID:42038694
Suppression of hnRNP A1 binding to HK1 RNA leads to glycolytic dysfunction in Alzheimer's disease models. MEDIUM
Front Aging Neurosci · 2023 · PMID:37744386

Opposing Evidence 2

HK1 and HK2 Beyond Glycolysis: Mitochondrial Interactions and Dual Roles in Metabolism and Cell Fate. MEDIUM
Adv Biol (Weinh) · 2026 · PMID:41387352
Alcohol drinking exacerbates neural and behavioral pathology in the 3xTg-AD mouse model of Alzheimer's disease… MEDIUM
Alcohol drinking exacerbates neural and behavioral pathology in the 3xTg-AD mouse model of Alzheimer's disease.
Int Rev Neurobiol · 2019 · PMID:31733664
Multi-persona evaluation: This hypothesis was debated by AI agents with complementary expertise. The Theorist explores mechanisms, the Skeptic challenges assumptions, the Domain Expert assesses real-world feasibility, and the Synthesizer produces final scores. Expand each card to see their arguments.
Gap Analysis | 4 rounds | 2026-04-10 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

Based on the knowledge gap regarding tau-containing vesicles and their potential unique surface glycosylation patterns, I'll generate novel therapeutic hypotheses that bridge this gap with actionable mechanisms:

Hypothesis 1: Glycan-Targeting Tau Vesicle Interceptors

Description: Tau-containing vesicles display aberrant sialylation patterns that can be targeted by engineered lectins or glycan-binding antibodies to selectively capture and neutralize pathological tau before aggregation. These "molecular nets" would exploit unique glycan signatures as biomarkers for therapeutic interventi

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

I'll provide a rigorous critique of each hypothesis, focusing on scientific weaknesses, alternative explanations, and experimental tests needed for falsification.

Hypothesis 1: Glycan-Targeting Tau Vesicle Interceptors

Critical Weaknesses:
  • Fundamental assumption flaw: The hypothesis assumes tau-containing vesicles have distinct aberrant sialylation patterns, but this is purely speculative without direct evidence
  • Selectivity problem: ST6GAL1 is broadly expressed and regulates sialylation across many cell types and proteins - targeting it would likely cause widespread glycosy

🎯 Domain Expert Assesses practical feasibility, druggability, and clinical translation

Practical Feasibility Assessment: Glycan-Tau Therapeutic Hypotheses

Based on my analysis of the scientific foundation and drug development requirements, none of these hypotheses are currently feasible for drug development. Here's why:

Fundamental Scientific Barriers

Critical Knowledge Gap: All hypotheses assume tau-containing vesicles display unique glycan patterns, but this premise lacks experimental evidence. In tau biology:

  • Most pathological tau forms intracellular neurofibrillary tangles in the cytoplasm
  • Tau spreading mechanisms (exosomal, direct cell-to-cell tran

Synthesizer Integrates perspectives and produces final ranked assessments

Price History

0.460.490.52 0.54 0.43 2026-04-212026-04-252026-04-28 Market PriceScoreevidencedebate 8 events
7d Trend
Stable
7d Momentum
▲ 7.4%
Volatility
High
0.0535
Events (7d)
7

Clinical Trials (0)

No clinical trials data available

📚 Cited Papers (5)

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📅 Citation Freshness Audit

Freshness score = exp(-age×ln2/5): halves every 5 years. Green >0.6, Amber 0.3–0.6, Red <0.3.

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📙 Related Wiki Pages (0)

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⚔ Arena Performance

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📊 Resource Economics & ROI

Moderate Efficiency Resource Efficiency Score
0.50
32.3th percentile (776 hypotheses)
Tokens Used
0
KG Edges Generated
0
Citations Produced
4

Cost Ratios

Cost per KG Edge
0.00 tokens
Lower is better (baseline: 2000)
Cost per Citation
0.00 tokens
Lower is better (baseline: 1000)
Cost per Score Point
0.00 tokens
Tokens / composite_score

Score Impact

Efficiency Boost to Composite
+0.050
10% weight of efficiency score
Adjusted Composite
0.505

How Economics Pricing Works

Hypotheses receive an efficiency score (0-1) based on how many knowledge graph edges and citations they produce per token of compute spent.

High-efficiency hypotheses (score >= 0.8) get a price premium in the market, pulling their price toward $0.580.

Low-efficiency hypotheses (score < 0.6) receive a discount, pulling their price toward $0.420.

Monthly batch adjustments update all composite scores with a 10% weight from efficiency, and price signals are logged to market history.

📋 Reviews View all →

Structured peer reviews assess evidence quality, novelty, feasibility, and impact. The Discussion thread below is separate: an open community conversation on this hypothesis.

💬 Discussion

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⚖️ Governance History

No governance decisions recorded for this hypothesis.

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KG Entities (34)

2-deoxy-D-glucose analogsHK1LGALS3MAPTMGAT5NEU1N_glycosylationST6GAL1aberrant_glycan_patternsautophagosomal_degradationautophagyautophagy_pathwaygalectin-3glucose_metabolismglycan_patternglycan_patternsglycosylation patternsneurofibrillary_tanglesneuroinflammationpathological_tau

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Estimated Development

Estimated Cost
$0
Timeline
0 months

🧪 Falsifiable Predictions (2)

2 total 0 confirmed 0 falsified
IF human iPSC-derived neurons carrying tau mutations are treated with 2-deoxy-D-glucose (2-DG) analog at 500 μM for 72 hours, THEN aberrant sialyl-LewisX glycosylation on tau vesicles will decrease by >40% while total cellular protein glycosylation will change by <15%.
pending conf: 0.25
Expected outcome: Reduction in pathological sialyl-LewisX epitope on isolated tau vesicles (measured by lectin blot or mass spectrometry) by >40% with selectivity ratio >2.5:1 compared to normal cellular glycosylation
Falsified by: No differential effect: both pathological tau glycosylation and normal cellular glycosylation change by <20% (indicating lack of therapeutic window) OR pathological tau glycosylation increases rather than decreases
Method: iPSC-derived cortical neurons from Alzheimer's disease patients with MAPT mutations, differentiated 21-28 days, treated with 2-DG analog, tau vesicle immunoprecipitation followed by lectin array or LC-MS/MS glycomics at 72 hours post-treatment
IF SH-SY5Y cells with doxycycline-inducible mutant tau expression are subjected to HK1 knockdown via siRNA for 48 hours, THEN the abundance of high-mannose N-glycans on purified tau vesicles will decrease by >50% compared to non-induced controls.
pending conf: 0.20
Expected outcome: Significant reduction in high-mannose N-glycan structures (Man5-Man9 species) on tau vesicles isolated from HK1-knockdown cells, quantified by quantitative glycomics
Falsified by: Tau vesicle glycan composition shows <20% change in high-mannose structures after HK1 knockdown, indicating HK1 is not the critical metabolic node controlling tau glycosylation
Method: SH-SY5Y neuroblastoma cells with inducible P301L tau expression, transfected with HK1-targeting siRNA, tau vesicles isolated by differential ultracentrifugation, N-glycan profiling by MALDI-TOF MS at 48 hours post-transfection

Knowledge Subgraph (28 edges)

associated with (1)

ST6GAL1tau_spreading

biomarker for (3)

aberrant_glycan_patternstau_pathologyglycan_patternpathological_tauglycan_patternstau_pathology

catalyzes (2)

ST6GAL1sialylationMGAT5N_glycosylation

causal extracted (1)

sess_SDA-2026-04-10-SDA-2026-04-09-gap-debate-20260409-201742-d279750bprocessed

causes (1)

tauneurofibrillary_tangles

characterizes (1)

glycan_patternstau_vesicles

contributes to (1)

neuroinflammationtauopathy

disrupts (1)

2-deoxy-D-glucose analogsglycosylation patterns

enables (1)

vesicle_fusiontau_spreading

enhances (3)

galectin-3autophagosomal_degradationLGALS3autophagygalectin-3tau_vesicle_clearance

inhibits (2)

NEU1tau_aggregationsynthetic_glycan_mimeticstau_spreading

marks (1)

MGAT5tau_vesicles

modulates (3)

LGALS3autophagy_pathwayHK1glycan_patternsMGAT5tau_vesicle_recognition

participates in (2)

MAPTvesicle_transportHK1glucose_metabolism

regulates (4)

LGALS3autophagyST6GAL1sialylationMGAT5tau_aggregationsialylationtau_vesicle_clearance

targets (1)

LGALS3tau_vesicles

Mechanism Pathway for HK1

Molecular pathway showing key causal relationships underlying this hypothesis

graph TD
    HK1["HK1"] -->|participates in| glucose_metabolism["glucose_metabolism"]
    ST6GAL1["ST6GAL1"] -->|regulates| sialylation["sialylation"]
    MAPT["MAPT"] -->|participates in| vesicle_transport["vesicle_transport"]
    ST6GAL1_1["ST6GAL1"] -->|catalyzes| sialylation_2["sialylation"]
    LGALS3["LGALS3"] -->|regulates| autophagy["autophagy"]
    MGAT5["MGAT5"] -->|catalyzes| N_glycosylation["N_glycosylation"]
    glycan_patterns["glycan_patterns"] -->|characterizes| tau_vesicles["tau_vesicles"]
    n2_deoxy_D_glucose_analogs["2-deoxy-D-glucose analogs"] -->|disrupts| glycosylation_patterns["glycosylation patterns"]
    LGALS3_3["LGALS3"] -->|targets| tau_vesicles_4["tau_vesicles"]
    MGAT5_5["MGAT5"] -->|marks| tau_vesicles_6["tau_vesicles"]
    NEU1["NEU1"] -.->|inhibits| tau_aggregation["tau_aggregation"]
    synthetic_glycan_mimetics["synthetic_glycan_mimetics"] -.->|inhibits| tau_spreading["tau_spreading"]
    style HK1 fill:#ce93d8,stroke:#333,color:#000
    style glucose_metabolism fill:#81c784,stroke:#333,color:#000
    style ST6GAL1 fill:#ce93d8,stroke:#333,color:#000
    style sialylation fill:#ffd54f,stroke:#333,color:#000
    style MAPT fill:#ce93d8,stroke:#333,color:#000
    style vesicle_transport fill:#4fc3f7,stroke:#333,color:#000
    style ST6GAL1_1 fill:#ce93d8,stroke:#333,color:#000
    style sialylation_2 fill:#4fc3f7,stroke:#333,color:#000
    style LGALS3 fill:#ce93d8,stroke:#333,color:#000
    style autophagy fill:#4fc3f7,stroke:#333,color:#000
    style MGAT5 fill:#ce93d8,stroke:#333,color:#000
    style N_glycosylation fill:#4fc3f7,stroke:#333,color:#000
    style glycan_patterns fill:#4fc3f7,stroke:#333,color:#000
    style tau_vesicles fill:#4fc3f7,stroke:#333,color:#000
    style n2_deoxy_D_glucose_analogs fill:#4fc3f7,stroke:#333,color:#000
    style glycosylation_patterns fill:#4fc3f7,stroke:#333,color:#000
    style LGALS3_3 fill:#4fc3f7,stroke:#333,color:#000
    style tau_vesicles_4 fill:#4fc3f7,stroke:#333,color:#000
    style MGAT5_5 fill:#ce93d8,stroke:#333,color:#000
    style tau_vesicles_6 fill:#4fc3f7,stroke:#333,color:#000
    style NEU1 fill:#ce93d8,stroke:#333,color:#000
    style tau_aggregation fill:#4fc3f7,stroke:#333,color:#000
    style synthetic_glycan_mimetics fill:#4fc3f7,stroke:#333,color:#000
    style tau_spreading fill:#4fc3f7,stroke:#333,color:#000

3D Protein Structure

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Source Analysis

Do tau-containing vesicles exhibit unique surface glycosylation patterns that distinguish them from normal vesicles?

neurodegeneration | 2026-04-09 | completed

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Same Analysis (5)

Competitive Glycan Decoys for Tau Vesicle Neutralization
Score: 0.46 · MAPT
Lectin-Mediated Autophagy Enhancers
Score: 0.46 · LGALS3
Glycan-Disrupting Tau Disaggregation
Score: 0.46 · NEU1
Glycan-Targeting Tau Vesicle Interceptors
Score: 0.46 · ST6GAL1
Glycan-Based Drug Delivery to Tau Vesicles
Score: 0.46 · ST6GAL1
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