Pharmacological Enhancement of APOE4 Glycosylation

Target: ST6GAL1, FUT8 Composite Score: 0.622 Price: $0.57▲48.5% Citation Quality: Pending neurodegeneration Status: debated
☰ Compare⚔ Duel⚛ Collideinteract with this hypothesis
🟢 Parkinson's Disease 🔥 Neuroinflammation 🔴 Alzheimer's Disease 🟡 ALS / Motor Neuron Disease 🧠 Neurodegeneration
🏆 ChallengeSolve: APOE4 structural biology and therapeutic targeting strategies$184K bounty →
✓ All Quality Gates Passed
Evidence Strength Pending (0%)
15
Citations
2
Debates
11
Supporting
4
Opposing
Quality Report Card click to collapse
B
Composite: 0.622
Top 43% of 1510 hypotheses
T2 Supported
Literature-backed with debate validation
Needs convergence ≥0.40 (current: 0.38) for Established
F Mech. Plausibility 15% 0.20 Top 99%
C+ Evidence Strength 15% 0.58 Top 49%
A Novelty 12% 0.80 Top 23%
D Feasibility 12% 0.30 Top 91%
C Impact 12% 0.40 Top 93%
B Druggability 10% 0.60 Top 45%
D Safety Profile 8% 0.30 Top 93%
A+ Competition 6% 0.90 Top 17%
F Data Availability 5% 0.20 Top 98%
D Reproducibility 5% 0.30 Top 92%
Evidence
11 supporting | 4 opposing
Citation quality: 100%
Debates
2 sessions A+
Avg quality: 0.95
Convergence
0.38 D 30 related hypothesis share this target

From Analysis:

APOE4 structural biology and therapeutic targeting strategies

APOE4 differs from APOE3 by C112R causing domain interaction that alters lipid binding and amyloid clearance.

→ View full analysis & debate transcript

Description

Mechanistic Overview


Pharmacological Enhancement of APOE4 Glycosylation starts from the claim that modulating ST6GAL1, FUT8 within the disease context of neurodegeneration can redirect a disease-relevant process. The original description reads: "Molecular Mechanism and Rationale The apolipoprotein E4 (APOE4) variant represents the strongest genetic risk factor for late-onset Alzheimer's disease, affecting approximately 25% of the population and increasing disease risk by 3-12 fold compared to the protective APOE3 isoform.

...

No AI visual card yet

Curated Mechanism Pathway

Curated pathway diagram from expert analysis

flowchart TD
    A["APOE4 Arg112"] -->|"domain interaction occludes Thr194"| B["Reduced Glycosylation 40% vs 70% APOE3"]
    B -->|"less steric hindrance"| C["Domain Interaction Persists"]
    C -->|"feed-forward loop"| A
    C -->|"destabilized N-terminal"| D["Impaired Lipidation and Abeta Clearance"]
    C -->|"exposed hinge"| E["Proteolytic Fragmentation"]
    
    F["ManNAc Supplementation"] -.->|"CMP-sialic acid pool increase"| G["Enhanced ST6GAL1 Sialylation"]
    H["AAV8-ST6GAL1 Gene Therapy"] -.->|"increased enzyme"| G
    I["Golgi pH Correction"] -.->|"optimal transferase activity"| G
    G -->|"sialylated glycan at Thr194"| J["2.8nm Steric Barrier"]
    J -->|"prevents Arg112-Glu255 contact"| K["APOE3-Like Open Conformation"]
    K --> L["Restored Lipidation and Abeta Clearance"]
    
    classDef pathological fill:#ef5350
    classDef therapeutic fill:#81c784
    classDef central fill:#4fc3f7
    classDef protective fill:#ffd54f
    
    class A,B,C,D,E pathological
    class F,G,H,I therapeutic
    class J,K central
    class L protective

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 0.20 (15%) Evidence 0.58 (15%) Novelty 0.80 (12%) Feasibility 0.30 (12%) Impact 0.40 (12%) Druggability 0.60 (10%) Safety 0.30 (8%) Competition 0.90 (6%) Data Avail. 0.20 (5%) Reproducible 0.30 (5%) KG Connect 0.28 (8%) 0.622 composite
15 citations 15 with PMID 15 medium Validation: 100% 11 supporting / 4 opposing
For (11)
11
4
(4) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
4
7
4
MECH 4CLIN 7GENE 4EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
APOE4 has 40% glycosylation at Thr194 vs. 70% for …SupportingCLINJ Biol Chem MEDIUM20200.60PMID:32483388
T194A mutation eliminating APOE3 glycosylation pro…SupportingGENEMol Neurodegene… MEDIUM20170.59PMID:28539388
N-acetylmannosamine supplementation increases sial…SupportingCLINMol Genet Metab MEDIUM20170.33PMID:28686597
ST6GAL1 circulates in plasma and can modify glycop…SupportingCLINJ Biol Chem MEDIUM20180.51PMID:30104363
AD patient CSF shows reduced APOE sialylation corr…SupportingCLINAlzheimers Deme… MEDIUM20210.33PMID:33608365-
Molecular dynamics simulations show Thr194 glycan …SupportingMECHStructure MEDIUM20210.58PMID:34210882
Divergent Golgi trafficking limits B cell-mediated…SupportingMECHJ Leukoc Biol MEDIUM20220.33PMID:35726710
Loss of core fucosylation in both ST6GAL1 and its …SupportingCLINBiochem J MEDIUM20200.33PMID:32141499
Genetic regulation of post-translational modificat…SupportingGENENat Commun MEDIUM20220.33PMID:35332118
Nuclear receptors FXR and SHP regulate protein N-g…SupportingGENESci Adv MEDIUM20210.58PMID:33883138
Role of glycosyltransferases in carcinogenesis; gr…SupportingCLINGlycoconj J MEDIUM20220.33PMID:35089466
APOE4 domain interaction may not be fully reversib…OpposingGENEProc Natl Acad … MEDIUM20110.60PMID:21743477
Systemic sialylation enhancement affects many glyc…OpposingMECHNat Rev Immunol MEDIUM20190.33PMID:30538218-
Brain APOE is produced locally by astrocytes; modi…OpposingCLINNeuron MEDIUM20190.60PMID:31515476
Glycan-mediated steric effects in molecular simula…OpposingMECHStructure MEDIUM20210.58PMID:34210882
Legacy Card View — expandable citation cards

Supporting Evidence 11

APOE4 has 40% glycosylation at Thr194 vs. 70% for APOE3, and reduced sialylation correlates with domain intera… MEDIUM
APOE4 has 40% glycosylation at Thr194 vs. 70% for APOE3, and reduced sialylation correlates with domain interaction
J Biol Chem · 2020 · PMID:32483388 · Q:0.60
ABSTRACT

Cancer-associated fibroblasts (CAFs) perform diverse roles and can modulate therapy responses1. The inflammatory environment within tumours also influences responses to many therapies, including the efficacy of oncolytic viruses2; however, the role of CAFs in this context remains unclear. Furthermore, little is known about the cell signalling triggered by heterotypic cancer cell-fibroblast contacts and about what activates fibroblasts to express inflammatory mediators1,3. Here, we show that direct contact between cancer cells and CAFs triggers the expression of a wide range of inflammatory modulators by fibroblasts. This is initiated following transcytosis of cytoplasm from cancer cells into fibroblasts, leading to the activation of STING and IRF3-mediated expression of interferon-β1 and other cytokines. Interferon-β1 then drives interferon-stimulated transcriptional programs in both cancer cells and stromal fibroblasts and ultimately undermines the efficacy of oncolytic viruses, both

T194A mutation eliminating APOE3 glycosylation produces APOE4-like domain interaction and reduced Aβ clearance MEDIUM
Mol Neurodegener · 2017 · PMID:28539388 · Q:0.59
ABSTRACT

Fritz-Laylin et al. (2017. J. Cell Biol. https://doi.org/10.1083/jcb.201701074) take advantage of the deep knowledge of mechanisms of actin-based motility and a growing number of sequenced genomes across the tree of life to gain insight into the machinery needed for pseudopod-based amoeboid motility and how it evolved.

N-acetylmannosamine supplementation increases sialylation of glycoproteins in vivo with established safety pro… MEDIUM
N-acetylmannosamine supplementation increases sialylation of glycoproteins in vivo with established safety profile
Mol Genet Metab · 2017 · PMID:28686597 · Q:0.33
ABSTRACT

Claudins constitute the major component of tight junctions and regulate paracellular permeability of epithelia. Claudin-10 occurs in two major isoforms that form paracellular channels with ion selectivity. We report on two families segregating an autosomal recessive disorder characterized by generalized anhidrosis, severe heat intolerance and mild kidney failure. All affected individuals carry a rare homozygous missense mutation c.144C>G, p.(N48K) specific for the claudin-10b isoform. Immunostaining of sweat glands from patients suggested that the disease is associated with reduced levels of claudin-10b in the plasma membranes and in canaliculi of the secretory portion. Expression of claudin-10b N48K in a 3D cell model of sweat secretion indicated perturbed paracellular Na+ transport. Analysis of paracellular permeability revealed that claudin-10b N48K maintained cation over anion selectivity but with a reduced general ion conductance. Furthermore, freeze fracture electron microscopy s

ST6GAL1 circulates in plasma and can modify glycoproteins extracellularly, providing a druggable intervention … MEDIUM
ST6GAL1 circulates in plasma and can modify glycoproteins extracellularly, providing a druggable intervention point
J Biol Chem · 2018 · PMID:30104363 · Q:0.51
ABSTRACT

Making inferences from partial information constitutes a critical aspect of cognition. During visual perception, pattern completion enables recognition of poorly visible or occluded objects. We combined psychophysics, physiology, and computational models to test the hypothesis that pattern completion is implemented by recurrent computations and present three pieces of evidence that are consistent with this hypothesis. First, subjects robustly recognized objects even when they were rendered <15% visible, but recognition was largely impaired when processing was interrupted by backward masking. Second, invasive physiological responses along the human ventral cortex exhibited visually selective responses to partially visible objects that were delayed compared with whole objects, suggesting the need for additional computations. These physiological delays were correlated with the effects of backward masking. Third, state-of-the-art feed-forward computational architectures were not robust to

AD patient CSF shows reduced APOE sialylation correlating with amyloid burden MEDIUM
Alzheimers Dement · 2021 · PMID:33608365 · Q:0.33
Molecular dynamics simulations show Thr194 glycan creates 2.8nm steric barrier preventing APOE4 domain interac… MEDIUM
Molecular dynamics simulations show Thr194 glycan creates 2.8nm steric barrier preventing APOE4 domain interaction
Structure · 2021 · PMID:34210882 · Q:0.58
ABSTRACT

Polymeric electronic materials have enabled soft and stretchable electronics. However, the lack of a universal micro/nanofabrication method for skin-like and elastic circuits results in low device density and limited parallel signal recording and processing ability relative to silicon-based devices. We present a monolithic optical microlithographic process that directly micropatterns a set of elastic electronic materials by sequential ultraviolet light-triggered solubility modulation. We fabricated transistors with channel lengths of 2 micrometers at a density of 42,000 transistors per square centimeter. We fabricated elastic circuits including an XOR gate and a half adder, both of which are essential components for an arithmetic logic unit. Our process offers a route to realize wafer-level fabrication of complex, high-density, and multilayered elastic circuits with performance rivaling that of their rigid counterparts.

Divergent Golgi trafficking limits B cell-mediated IgG sialylation. MEDIUM
J Leukoc Biol · 2022 · PMID:35726710 · Q:0.33
ABSTRACT

The degree of α2,6-linked sialylation on IgG glycans is associated with a variety of inflammatory conditions and is thought to drive IgG anti-inflammatory activity. Previous findings revealed that ablation of β-galactoside α2,6-sialyltransferase 1 (ST6Gal1) in B cells failed to alter IgG sialylation in vivo, yet resulted in the loss of B cell surface α2,6 sialylation, suggesting divergent pathways for IgG and cell surface glycoprotein glycosylation and trafficking. Employing both B cell hybridomas and ex vivo murine B cells, we discovered that IgG was poorly sialylated by ST6Gal1 and highly core fucosylated by α1,6-fucosyltransferase 8 (Fut8) in cell culture. In contrast, cell surface glycoproteins on IgG-producing cells showed the opposite pattern by flow cytometry, with high α2,6 sialylation and low α1,6 fucosylation. Paired studies further revealed that ex vivo B cell-produced IgG carried significantly less sialylation compared with IgG isolated from the plasma of matched animals, p

Loss of core fucosylation in both ST6GAL1 and its substrate enhances glycoprotein sialylation in mice. MEDIUM
Biochem J · 2020 · PMID:32141499 · Q:0.33
ABSTRACT

Fucosyltransferase 8 (FUT8) and β-galactoside α-2,6-sialyltransferase 1 (ST6GAL1) are glycosyltransferases that catalyze α1,6-fucosylation and α2,6-sialylation, respectively, in the mammalian N-glycosylation pathway. They are aberrantly expressed in various human diseases. FUT8 is non-glycosylated but is responsible for the fucosylation of ST6GAL1. However, the mechanism for the interaction between these two enzymes is unknown. In this study, we show that serum levels of α2,6-sialylated N-glycans are increased in Fut8-/- mice, whereas the mRNA and protein levels of ST6GAL1 are unchanged in mouse live tissues. The level of α2,6-sialylation on IgG was also enhanced in Fut8-/- mice along with ST6GAL1 catalytic activity increase in both serum and liver. Moreover, it was observed that ST6GAL1 prefers non-fucosylated substrates. Interestingly, increased core fucosylation accompanied by a reduction in α2,6-sialylation, was detected in rheumatoid arthritis patient serum. These findings provide

Genetic regulation of post-translational modification of two distinct proteins. MEDIUM
Nat Commun · 2022 · PMID:35332118 · Q:0.33
ABSTRACT

Post-translational modifications diversify protein functions and dynamically coordinate their signalling networks, influencing most aspects of cell physiology. Nevertheless, their genetic regulation or influence on complex traits is not fully understood. Here, we compare the genetic regulation of the same PTM of two proteins - glycosylation of transferrin and immunoglobulin G (IgG). By performing genome-wide association analysis of transferrin glycosylation, we identify 10 significantly associated loci, 9 of which were not reported previously. Comparing these with IgG glycosylation-associated genes, we note protein-specific associations with genes encoding glycosylation enzymes (transferrin - MGAT5, ST3GAL4, B3GAT1; IgG - MGAT3, ST6GAL1), as well as shared associations (FUT6, FUT8). Colocalisation analyses of the latter suggest that different causal variants in the FUT genes regulate fucosylation of the two proteins. Glycosylation of these proteins is thus genetically regulated by both

Nuclear receptors FXR and SHP regulate protein N-glycan modifications in the liver. MEDIUM
Sci Adv · 2021 · PMID:33883138 · Q:0.58
ABSTRACT

Nuclear receptors farnesoid X receptor (FXR) and small heterodimer partner (SHP) are key regulators of metabolism. Here, we report a previously unknown function for the hepatic FXR-SHP axis in controlling protein N-linked glycosylation. Transcriptome analysis in liver-specific Fxr-Shp double knockout (LDKO) livers revealed induction of genes encoding enzymes in the N-glycosylation pathway, including Mgat5, Fut8, St3gal6, and St6gal1 FXR activation suppressed Mgat5, while Shp deletion induced St3gal6 and St6gal1 Increased percentages of core-fucosylated and triantennary glycan moieties were seen in LDKO livers, and proteins with the "hyperglycoforms" preferentially localized to exosomes and lysosomes. This up-regulation of N-glycosylation machinery was specific to the Golgi apparatus and not the endoplasmic reticulum. The increased glycan complexity in the LDKO correlated well with dilated unstacked Golgi ribbons and alterations in the secretion of albumin, cholesterol, and triglyceride

Role of glycosyltransferases in carcinogenesis; growth factor signaling and EMT/MET programs. MEDIUM
Glycoconj J · 2022 · PMID:35089466 · Q:0.33
ABSTRACT

The glycosylation of cell surface receptors has been shown to regulate each step of signal transduction, including receptor trafficking to the cell surface, ligand binding, dimerization, phosphorylation, and endocytosis. In this review we focus on the role of glycosyltransferases that are involved in the modification of N-glycans, such as the effect of branching and elongation in signaling by various cell surface receptors. In addition, the role of those enzymes in the EMT/MET programs, as related to differentiation and cancer development, progress and therapy resistance is discussed.

Opposing Evidence 4

APOE4 domain interaction may not be fully reversible by steric blockade alone; additional conformational facto… MEDIUM
APOE4 domain interaction may not be fully reversible by steric blockade alone; additional conformational factors contribute
Proc Natl Acad Sci · 2011 · PMID:21743477 · Q:0.60
ABSTRACT

Voltage-gated sodium (Na(V)) channels initiate electrical signalling in excitable cells and are the molecular targets for drugs and disease mutations, but the structural basis for their voltage-dependent activation, ion selectivity and drug block is unknown. Here we report the crystal structure of a voltage-gated Na(+) channel from Arcobacter butzleri (NavAb) captured in a closed-pore conformation with four activated voltage sensors at 2.7 Å resolution. The arginine gating charges make multiple hydrophilic interactions within the voltage sensor, including unanticipated hydrogen bonds to the protein backbone. Comparisons to previous open-pore potassium channel structures indicate that the voltage-sensor domains and the S4-S5 linkers dilate the central pore by pivoting together around a hinge at the base of the pore module. The NavAb selectivity filter is short, ∼4.6 Å wide, and water filled, with four acidic side chains surrounding the narrowest part of the ion conduction pathway. This

Systemic sialylation enhancement affects many glycoproteins; off-target hypersialylation could impair compleme… MEDIUM
Systemic sialylation enhancement affects many glycoproteins; off-target hypersialylation could impair complement and immune function
Nat Rev Immunol · 2019 · PMID:30538218 · Q:0.33
Brain APOE is produced locally by astrocytes; modifying hepatic ST6GAL1 may not affect CNS APOE glycosylation MEDIUM
Neuron · 2019 · PMID:31515476 · Q:0.60
ABSTRACT

In vitro gut microbiome models could provide timely and cost-efficient solutions to study microbiome responses to drugs. For this purpose, in vitro models that maintain the functional and compositional profiles of in vivo gut microbiomes would be extremely valuable. Here, we present a 96-deep well plate-based culturing model (MiPro) that maintains the functional and compositional profiles of individual gut microbiomes, as assessed by metaproteomics, while allowing a four-fold increase in viable bacteria counts. Comparison of taxon-specific functions between pre- and post-culture microbiomes shows a Pearson's correlation coefficient r of 0.83 ± 0.03. In addition, we show a high degree of correlation between gut microbiome responses to metformin in the MiPro model and those in mice fed a high-fat diet. We propose MiPro as an in vitro gut microbiome model for scalable investigation of drug-microbiome interactions such as during high-throughput drug screening.

Glycan-mediated steric effects in molecular simulations may not reflect in vivo conditions where APOE is lipid… MEDIUM
Glycan-mediated steric effects in molecular simulations may not reflect in vivo conditions where APOE is lipid-bound
Structure · 2021 · PMID:34210882 · Q:0.58
ABSTRACT

Polymeric electronic materials have enabled soft and stretchable electronics. However, the lack of a universal micro/nanofabrication method for skin-like and elastic circuits results in low device density and limited parallel signal recording and processing ability relative to silicon-based devices. We present a monolithic optical microlithographic process that directly micropatterns a set of elastic electronic materials by sequential ultraviolet light-triggered solubility modulation. We fabricated transistors with channel lengths of 2 micrometers at a density of 42,000 transistors per square centimeter. We fabricated elastic circuits including an XOR gate and a half adder, both of which are essential components for an arithmetic logic unit. Our process offers a route to realize wafer-level fabrication of complex, high-density, and multilayered elastic circuits with performance rivaling that of their rigid counterparts.

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 | 2026-04-01 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

Based on the APOE4 structural biology knowledge gap, here are 7 novel therapeutic hypotheses:

1. APOE4 Allosteric Rescue via Small Molecule Chaperones

Description: Small molecules targeting the hinge region between APOE4 domains could stabilize the native APOE3-like conformation, preventing pathological domain interaction. These allosteric modulators would restore proper lipid binding affinity and enhance amyloid clearance capacity. Target: APOE4 interdomain hinge region (residues 130-160) Supporting Evidence: Structural studies show APOE4 domain interaction creates a molten gl

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

I'll provide a rigorous critique of each therapeutic hypothesis, examining their scientific foundations and identifying critical weaknesses.

1. APOE4 Allosteric Rescue via Small Molecule Chaperones

Specific Weaknesses:

  • The "hinge region" (residues 130-160) is poorly defined structurally - no high-resolution structure exists showing this region's role in domain interaction
  • The molten globule state reference (PMID: 11948193) describes lipid-free APOE4, but brain APOE exists primarily lipid-associated
  • No evidence that small molecules can selectively stabilize one APOE isoform over

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

I'll assess the practical feasibility of the most viable hypotheses based on current druggability, existing chemical matter, and development landscape.

HYPOTHESIS 1: APOE4 Allosteric Rescue via Small Molecule Chaperones

Revised Confidence: 0.3

Druggability Assessment

Target Class: Protein-protein interaction (PPI) disruptor Druggability Score: Low-Medium
  • APOE4 hinge region lacks defined binding pockets
  • PPIs typically require fragments >500 Da, challenging for CNS penetration
  • No validated allosteric sites identified

Existing Chemical Matter

Current Compounds:

Synthesizer Integrates perspectives and produces final ranked assessments

Price History

0.250.500.75 created: post_process (2026-04-02T01:34)evidence: market_dynamics (2026-04-02T02:43)score_update: post_process (2026-04-02T03:03)score_update: post_process (2026-04-02T04:33)debate: market_dynamics (2026-04-02T05:25)score_update: market_dynamics (2026-04-02T05:45)evidence: evidence_update (2026-04-02T06:02)debate: debate_engine (2026-04-02T07:31)score_update: market_dynamics (2026-04-02T08:11)debate: market_dynamics (2026-04-02T08:27)evidence: market_dynamics (2026-04-02T08:54)debate: debate_engine (2026-04-02T09:01)score_update: market_dynamics (2026-04-02T10:30)evidence: market_dynamics (2026-04-02T10:38)debate: market_dynamics (2026-04-02T11:17)score_update: market_dynamics (2026-04-02T11:59)debate: debate_engine (2026-04-02T13:28)score_update: market_dynamics (2026-04-02T13:37)evidence: market_dynamics (2026-04-02T17:18)debate: debate_engine (2026-04-02T17:18)evidence: market_dynamics_seed (2026-04-02T18:16)evidence: evidence_batch_update (2026-04-04T09:08)evidence: evidence_batch_update (2026-04-13T02:18)evidence: evidence_batch_update (2026-04-13T02:18) 1.00 0.00 2026-04-022026-04-122026-04-26 Market PriceScoreevidencedebate 247 events
7d Trend
Falling
7d Momentum
▼ 14.9%
Volatility
Medium
0.0298
Events (7d)
7
⚡ Price Movement Log Recent 15 events
Event Price Change Source Time
📄 New Evidence $0.403 ▲ 3.3% evidence_batch_update 2026-04-13 02:18
📄 New Evidence $0.390 ▲ 6.7% evidence_batch_update 2026-04-13 02:18
Recalibrated $0.366 ▼ 1.5% 2026-04-10 15:58
Recalibrated $0.371 ▲ 1.6% 2026-04-10 15:53
Recalibrated $0.365 ▲ 1.5% 2026-04-08 18:39
Recalibrated $0.360 ▼ 0.9% 2026-04-04 16:38
Recalibrated $0.364 ▼ 4.0% 2026-04-04 16:02
📄 New Evidence $0.379 ▲ 4.6% evidence_batch_update 2026-04-04 09:08
Recalibrated $0.362 ▼ 2.3% 2026-04-03 23:46
Recalibrated $0.370 ▲ 2.1% 2026-04-02 21:55
Recalibrated $0.363 ▼ 5.2% market_recalibrate 2026-04-02 19:14
📄 New Evidence $0.383 ▲ 16.2% market_dynamics_seed 2026-04-02 18:16
💬 Debate Round $0.329 ▲ 6.2% debate_engine 2026-04-02 17:18
📄 New Evidence $0.310 ▼ 31.8% market_dynamics 2026-04-02 17:18
📊 Score Update $0.455 ▲ 6.3% market_dynamics 2026-04-02 13:37

Clinical Trials (5) Relevance: 44%

0
Active
0
Completed
282
Total Enrolled
PHASE1
Highest Phase
RAPA-501 Therapy for ALS PHASE2
RECRUITING · NCT04220190 · Rapa Therapeutics LLC
41 enrolled · 2025-01-02 · → 2026-07-01
RAPA-501-ALS is a phase 2/3 expansion cohort study of RAPA-501 autologous hybrid TREG/Th2 cells in patients living with amyotrophic lateral sclerosis (pwALS).
Amyotrophic Lateral Sclerosis
RAPA-501 Autologous T stem cells
MAD Phase I Study to Investigate Contraloid Acetate PHASE1
COMPLETED · NCT03955380 · Prof. Dr. Dieter Willbold
24 enrolled · 2018-12-12 · → 2019-04-03
This is a single-center multiple-ascending-dose clinical trial assessing the safety and tolerability of oral dosing of Contraloid acetate in healthy volunteers. The study drug Contraloid (alias RD2, a
Alzheimer Dementia Alzheimer Disease
Contraloid
Cerebrovascular Reactivity and Oxygen Metabolism as Markers of Neurodegeneration After Traumatic Brain Injury N/A
UNKNOWN · NCT04820881 · Washington D.C. Veterans Affairs Medical Center
60 enrolled · 2021-10-01 · → 2024-09
This grant award entitled, "Cerebrovascular Reactivity and Oxygen Metabolism as Markers for Neurodegeneration after Traumatic Brain Injury" (hereafter, "Neurovascular Study"), aims to determine if neu
Neurodegenerative Diseases
Stereotactic Intracerebral Injection of Allogenic IPSC-DAPs in Patients With Parkinson's Disease PHASE1
NOT_YET_RECRUITING · NCT07212088 · iCamuno Biotherapeutics Ltd.
12 enrolled · 2026-02-28 · → 2027-12-15
Parkinson's disease is a progressive neurodegenerative disorder characterized by high morbidity due to the limited regenerative capacity of dopaminergic neurons in the brain. Current drug treatments p
Parkinson Disease
ALC01 therapy
MRI Biomarkers in ALS N/A
COMPLETED · NCT02405182 · University of Alberta
145 enrolled · 2014-09 · → 2019-03
Amyotrophic lateral sclerosis (ALS) is a disabling and rapidly progressive neurodegenerative disorder. There is no treatment that significantly slows progression. Increasing age is an important risk f
Amyotrophic Lateral Sclerosis ALS Motor Neuron Diseases
Magnetic Resonance Imaging

📚 Cited Papers (28)

4 figures
Fig. 1
Fig. 1
Establishment and general performance of the MiPro model. a Main components of the MiPro model: microbiome samples are cultured in an optimized culture medium in a 96-deep well p...
pmc_api
Fig. 2
Fig. 2
Metaproteomics revealed taxonomic & functional composition stability over time. a Principal coordinate analysis (PCoA) plot with Bray-Curtis dissimilarity on species level. b C...
pmc_api
5 figures
Figure 1
Figure 1
Structure of NavAb and the activated VSD a, Structural elements in NavAb. One subunit is highlighted (1-6, transmembrane segments S1-S6). The nearest VSD has been removed for clar...
pmc_api
Figure 2
Figure 2
NavAb pore module a, Pore-lining S6 helices of NavAb (yellow) and the closed MlotiK (3BEH), KcsA (1K4C) and NaK (2AHY) channels. Cα locations of Met221 defines a common radius for...
pmc_api
No extracted figures yet
Disease-associated glycans on cell surface proteins.
Mol Aspects Med (2016) · PMID:27131428
No extracted figures yet
No extracted figures yet
No extracted figures yet
Recurrent computations for visual pattern completion.
Proceedings of the National Academy of Sciences of the United States of America (2018) · PMID:30104363
No extracted figures yet
No extracted figures yet
No extracted figures yet
No extracted figures yet
No extracted figures yet
On unproductive joy
Canadian family physician Medecin de famille canadien (2021) · PMID:33608365
No extracted figures yet

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📊 Resource Economics & ROI

Moderate Efficiency Resource Efficiency Score
0.77
52.1th percentile (747 hypotheses)
Tokens Used
6,438
KG Edges Generated
11
Citations Produced
15

Cost Ratios

Cost per KG Edge
64.38 tokens
Lower is better (baseline: 2000)
Cost per Citation
429.20 tokens
Lower is better (baseline: 1000)
Cost per Score Point
12380.77 tokens
Tokens / composite_score

Score Impact

Efficiency Boost to Composite
+0.077
10% weight of efficiency score
Adjusted Composite
0.699

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.

Efficiency Price Signals

Date Signal Price Score
2026-04-16T20:00$0.3830.522

Wiki Pages

Adrenal Chromaffin Cells in NeurodegenerationcellSynaptic Biomarkers in NeurodegenerationbiomarkerMetabolomic Biomarkers in NeurodegenerationbiomarkerExosomal miR-155 in NeurodegenerationbiomarkerNeuroimaging Biomarkers for NeurodegenerationbiomarkerLiquid Biopsy in NeurodegenerationbiomarkerBlood-Based Biomarkers for NeurodegenerationbiomarkerCSF Neurofilament Light Chain (NfL) in NeurodegenebiomarkerDNA Methylation Biomarkers in NeurodegenerationbiomarkerExosomal Biomarkers in NeurodegenerationbiomarkerMDS 2026 — Fluid Biomarker Advances in NeurodegeneeventGlutamate - Excitotoxicity and Neurodegeneration BbiomarkerIL-6 (Interleukin-6) in NeurodegenerationbiomarkerCell-Free DNA Biomarkers in NeurodegenerationbiomarkerAlpha-1 Adrenergic Receptor Neurons in Neurodegenecell

KG Entities (39)

APOEAPOE4APOE4_domain_interactionAPOE4_phenotypeAPPBACE1C334T_mutationCDK5DNAJB1FKBP5FUT8Glycosylation / sialyltransferaseHSP70HSP90HSP90AA1HSPA1AHSPA1A, HSP90AA1, DNAJB1, FKBP5Heat shock protein / proteostasisPSD95ST6GAL1

Related Hypotheses

TREM2-Dependent Astrocyte-Microglia Cross-talk in Neurodegeneration
Score: 0.990 | neurodegeneration
CYP46A1 Gene Therapy for Age-Related TREM2-Mediated Microglial Senescence Reversal
Score: 0.921 | neurodegeneration
Selective Acid Sphingomyelinase Modulation Therapy
Score: 0.920 | neurodegeneration
HK2-Dependent Metabolic Checkpoint as the Gatekeeper of DAM Transition
Score: 0.919 | neurodegeneration
CYP46A1 Overexpression Gene Therapy
Score: 0.919 | neurodegeneration

Estimated Development

Estimated Cost
$0
Timeline
5.5 years

🧪 Falsifiable Predictions (21)

21 total 0 confirmed 0 falsified
NMR/X-ray crystallography of proposed hinge region with and without small molecule modulators
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: NMR/X-ray crystallography of proposed hinge region with and without small molecule modulators
Comparative binding studies showing selectivity for APOE4 vs APOE3
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Comparative binding studies showing selectivity for APOE4 vs APOE3
Pharmacokinetic studies in non-human primates measuring CNS penetration
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Pharmacokinetic studies in non-human primates measuring CNS penetration
Single-cell RNA-seq to measure editing efficiency across different CNS cell types
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Single-cell RNA-seq to measure editing efficiency across different CNS cell types
Genome-wide off-target analysis in edited brain tissue
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Genome-wide off-target analysis in edited brain tissue
Longitudinal cognitive testing in edited vs. control animals
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Longitudinal cognitive testing in edited vs. control animals
Biochemical binding assays measuring PROTAC selectivity for APOE4 vs APOE3
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Biochemical binding assays measuring PROTAC selectivity for APOE4 vs APOE3
Mass spectrometry-based degradation kinetics in primary neurons
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Mass spectrometry-based degradation kinetics in primary neurons
BBB penetration studies with radiolabeled PROTACs
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: BBB penetration studies with radiolabeled PROTACs
Surface plasmon resonance measuring competitive binding vs. natural phospholipids
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Surface plasmon resonance measuring competitive binding vs. natural phospholipids
Thermal shift assays demonstrating domain separation in presence of mimetics
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Thermal shift assays demonstrating domain separation in presence of mimetics
Lipidomics analysis showing mimetics don't disrupt normal lipid metabolism
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Lipidomics analysis showing mimetics don't disrupt normal lipid metabolism
Mass spectrometry mapping of APOE4 glycosylation sites
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Mass spectrometry mapping of APOE4 glycosylation sites
Enzymatic deglycosylation studies measuring effects on domain interaction
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Enzymatic deglycosylation studies measuring effects on domain interaction
Proteomics analysis of off-target glycosylation changes
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Proteomics analysis of off-target glycosylation changes
Fluorescence polarization assays measuring peptide binding specificity
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Fluorescence polarization assays measuring peptide binding specificity
Stability studies in cerebrospinal fluid and brain homogenates
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Stability studies in cerebrospinal fluid and brain homogenates
Biodistribution studies tracking peptide localization in brain
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Biodistribution studies tracking peptide localization in brain
Single-molecule FRET studies measuring APOE4 conformational dynamics with/without chaperone overexpression
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Single-molecule FRET studies measuring APOE4 conformational dynamics with/without chaperone overexpression
Proteostasis network analysis showing chaperone client specificity
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Proteostasis network analysis showing chaperone client specificity
Long-term toxicity studies of sustained chaperone upregulation
pending conf: 0.10
Expected outcome: Confirmatory evidence for hypothesis
Falsified by: Failure of: Long-term toxicity studies of sustained chaperone upregulation

Knowledge Subgraph (95 edges)

associated with (5)

HSP90AA1neurodegenerationDNAJB1neurodegenerationFKBP5neurodegenerationHSPA1A, HSP90AA1, DNAJB1, FKBP5neurodegenerationST6GAL1, FUT8neurodegeneration

causes (1)

APOE4domain_interaction

co associated with (4)

APOEHSPA1A, HSP90AA1, DNAJB1, FKBP5APOEST6GAL1, FUT8HSPA1A, HSP90AA1, DNAJB1, FKBP5ST6GAL1, FUT8APOEAPOE

co chaperone (1)

FKBP5HSP90

co discussed (52)

APOEDNAJB1APOEST6GAL1APOEFUT8DNAJB1ST6GAL1DNAJB1FUT8
▸ Show 47 more

determines (1)

C334T_mutationAPOE4_phenotype

enhances (1)

HSP90AA1protein_stability

impairs (1)

APOE4_domain_interactionamyloid_clearance

implicated in (7)

h-637a53c9neurodegenerationh-44195347neurodegenerationh-d0a564e8neurodegenerationh-11795af0neurodegenerationh-99b4e2d2neurodegeneration
▸ Show 2 more

interacts with (14)

HSPA1AHSP90AA1HSPA1ADNAJB1HSPA1AFKBP5HSP90AA1HSPA1AHSP90AA1DNAJB1
▸ Show 9 more

maintains (1)

molecular_chaperonesproteostasis

participates in (5)

HSP90AA1Heat shock protein / proteostasisDNAJB1Heat shock protein / proteostasisFKBP5Heat shock protein / proteostasisST6GAL1Glycosylation / sialyltransferaseFUT8Glycosylation / sialyltransferase

regulates (2)

HSPA1Aprotein_foldingAPOElipid_metabolism

Mechanism Pathway for ST6GAL1, FUT8

Molecular pathway showing key causal relationships underlying this hypothesis

graph TD
    ST6GAL1__FUT8["ST6GAL1, FUT8"] -->|associated with| neurodegeneration["neurodegeneration"]
    APOE["APOE"] -->|co associated with| ST6GAL1__FUT8_1["ST6GAL1, FUT8"]
    HSPA1A__HSP90AA1__DNAJB1_["HSPA1A, HSP90AA1, DNAJB1, FKBP5"] -->|co associated with| ST6GAL1__FUT8_2["ST6GAL1, FUT8"]
    style ST6GAL1__FUT8 fill:#ce93d8,stroke:#333,color:#000
    style neurodegeneration fill:#ef5350,stroke:#333,color:#000
    style APOE fill:#ce93d8,stroke:#333,color:#000
    style ST6GAL1__FUT8_1 fill:#ce93d8,stroke:#333,color:#000
    style HSPA1A__HSP90AA1__DNAJB1_ fill:#ce93d8,stroke:#333,color:#000
    style ST6GAL1__FUT8_2 fill:#ce93d8,stroke:#333,color:#000

Predicted Protein Structure

🔮 ST6GAL1 — AlphaFold Prediction P15907 Click to expand 3D viewer

AI-predicted structure from AlphaFold | Powered by Mol* | Rotate: click+drag | Zoom: scroll | Reset: right-click

Source Analysis

APOE4 structural biology and therapeutic targeting strategies

neurodegeneration | 2026-04-01 | completed

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Same Analysis (5)

Selective APOE4 Degradation via Proteolysis Targeting Chimeras (PROTAC
Score: 0.79 · APOE
Competitive APOE4 Domain Stabilization Peptides
Score: 0.78 · APOE
APOE4 Allosteric Rescue via Small Molecule Chaperones
Score: 0.76 · APOE
Targeted APOE4-to-APOE3 Base Editing Therapy
Score: 0.76 · APOE
Interfacial Lipid Mimetics to Disrupt Domain Interaction
Score: 0.72 · APOE
→ View all analysis hypotheses