Senescence-Tau Decoupling Therapy

Target: CDKN2A Composite Score: 0.585 Price: $0.62▲48.1% Citation Quality: Pending neurodegeneration Status: proposed
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🔴 Alzheimer's Disease 🔬 Microglial Biology 🧠 Neurodegeneration 🔥 Neuroinflammation
✓ All Quality Gates Passed
Evidence Strength Pending (0%)
5
Citations
3
Debates
6
Supporting
2
Opposing
Quality Report Card click to collapse
C+
Composite: 0.585
Top 47% of 1875 hypotheses
T3 Provisional
Single-source or model-inferred
Needs composite score ≥0.60 (current: 0.59) for Supported
C+ Mech. Plausibility 15% 0.50 Top 76%
C Evidence Strength 15% 0.40 Top 78%
B+ Novelty 12% 0.70 Top 43%
B+ Feasibility 12% 0.70 Top 36%
B Impact 12% 0.60 Top 68%
A Druggability 10% 0.80 Top 23%
F Safety Profile 8% 0.20 Top 97%
C+ Competition 6% 0.50 Top 77%
C+ Data Availability 5% 0.50 Top 71%
C Reproducibility 5% 0.40 Top 83%
Evidence
6 supporting | 2 opposing
Citation quality: 85%
Debates
1 session A+
Avg quality: 0.95
Convergence
0.52 C+ 30 related hypothesis share this target

From Analysis:

Gene expression changes in aging mouse brain predicting neurodegenerative vulnerability

What gene expression changes in the aging mouse brain predict neurodegenerative vulnerability? Use Allen Aging Mouse Brain Atlas data. Cross-reference with human AD datasets. Produce hypotheses about aging-neurodegeneration mechanisms.

→ View full analysis & debate transcript

Description

Mechanistic Overview


Senescence-Tau Decoupling Therapy starts from the claim that modulating CDKN2A within the disease context of neurodegeneration can redirect a disease-relevant process. The original description reads: "## Mechanistic Overview Senescence-Tau Decoupling Therapy starts from the claim that modulating CDKN2A within the disease context of neurodegeneration can redirect a disease-relevant process. The original description reads: "CDK2A/p16 Inhibition to Break Tau-Senescence Feedback Loop ## Overview Cellular senescence and tau pathology are two hallmarks of Alzheimer's disease that have long been studied independently.

...

No AI visual card yet

Curated Mechanism Pathway

Curated pathway diagram from expert analysis

graph TD
    A["Tau Pathology
Hyperphosphorylated
Tau Oligomers"] --> B["DNA Damage
Response
Activation"] B --> C["CDKN2A/p16
Upregulation"] C --> D["Cell Cycle
Arrest
G1/S Checkpoint"] D --> E["Cellular
Senescence
Program"] E --> F["SASP Secretion
Pro-inflammatory
Cytokines"] F --> G["Microglial
Activation
and Neuroinflammation"] G --> H["Tau Kinase
Activation
GSK3beta/CDK5"] H --> I["Enhanced Tau
Hyperphosphorylation
and Aggregation"] I --> A J["CDKN2A/p16
Inhibition
Therapy"] --> C C --> K["Senescence
Program
Disruption"] K --> L["Reduced SASP
Secretion"] L --> M["Decreased
Neuroinflammation"] M --> N["Cognitive
Function
Improvement"] classDef pathology fill:#ef5350,stroke:#333,stroke-width:2px classDef therapy fill:#81c784,stroke:#333,stroke-width:2px classDef normal fill:#4fc3f7,stroke:#333,stroke-width:2px classDef outcome fill:#ffd54f,stroke:#333,stroke-width:2px classDef molecular fill:#ce93d8,stroke:#333,stroke-width:2px class A,E,F,G,I pathology class J,K,L,M therapy class B,D,H normal class N outcome class C molecular

GTEx v10 Brain Expression

JSON

Median TPM across 13 brain regions for CDKN2A from GTEx v10.

Spinal cord cervical c-10.9 Putamen basal ganglia0.8 Amygdala0.7 Cerebellum0.7 Frontal Cortex BA90.7 Caudate basal ganglia0.6median TPM (GTEx v10)

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 0.40 (15%) Novelty 0.70 (12%) Feasibility 0.70 (12%) Impact 0.60 (12%) Druggability 0.80 (10%) Safety 0.20 (8%) Competition 0.50 (6%) Data Avail. 0.50 (5%) Reproducible 0.40 (5%) KG Connect 0.68 (8%) 0.585 composite
8 citations 8 with PMID Validation: 85% 6 supporting / 2 opposing
For (6)
No supporting evidence
No opposing evidence
(2) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
4
2
2
MECH 4CLIN 2GENE 2EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
Tau-containing neurons show senescence-like transc…SupportingMECH----PMID:30126037-
The Diagnostic Trap in Radiation-Induced Mesotheli…SupportingMECHCancers (Basel)-20260.33PMID:41595142-
Uncovering the signatures of aging and senescence …SupportingGENECell Genom-20260.59PMID:41576945-
Cdkn2a/p16Ink4a loss impairs Spatial memory indepe…SupportingGENECell Mol Life S…-20260.59PMID:41741874-
The prognostic impact of CDKN2A/B hemizygous delet…SupportingMECHNeuro Oncol-20260.33PMID:41671098-
Senolytic therapy ameliorates high-fat diet-induce…SupportingCLINExp Neurol-20260.33PMID:41895394-
Targeting p16+ cells could eliminate beneficial se…OpposingMECH----PMID:N/A-
Senescent cells can be protective in certain conte…OpposingCLIN----PMID:N/A-
Legacy Card View — expandable citation cards

Supporting Evidence 6

Tau-containing neurons show senescence-like transcriptomic profiles, with CDKN2A levels directly correlating w…
Tau-containing neurons show senescence-like transcriptomic profiles, with CDKN2A levels directly correlating with brain atrophy and NFT burden
The Diagnostic Trap in Radiation-Induced Mesothelioma: Kinetic-Morphological Decoupling Masks Molecular Aggres…
The Diagnostic Trap in Radiation-Induced Mesothelioma: Kinetic-Morphological Decoupling Masks Molecular Aggression.
Cancers (Basel) · 2026 · PMID:41595142 · Q:0.33
Uncovering the signatures of aging and senescence in the human dorsolateral prefrontal cortex.
Cell Genom · 2026 · PMID:41576945 · Q:0.59
Cdkn2a/p16Ink4a loss impairs Spatial memory independently of Alzheimer's-associated genetic pathways in young …
Cdkn2a/p16Ink4a loss impairs Spatial memory independently of Alzheimer's-associated genetic pathways in young adult mice.
Cell Mol Life Sci · 2026 · PMID:41741874 · Q:0.59
The prognostic impact of CDKN2A/B hemizygous deletions in meningioma.
Neuro Oncol · 2026 · PMID:41671098 · Q:0.33
Senolytic therapy ameliorates high-fat diet-induced hippocampal senescence and cognitive decline in mice.
Exp Neurol · 2026 · PMID:41895394 · Q:0.33

Opposing Evidence 2

Targeting p16+ cells could eliminate beneficial senescent cells that provide tumor suppression
Senescent cells can be protective in certain contexts, preventing cancer progression
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 | 2026-04-03 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

Based on my research, I'll now generate novel therapeutic hypotheses focused on aging-related gene expression changes that predict neurodegenerative vulnerability. Here are 6 evidence-based therapeutic hypotheses:

Novel Therapeutic Hypotheses for Aging-Neurodegeneration Vulnerability

1. AP1S1-Mediated Vesicular Transport Restoration

Description: Age-related downregulation of AP1S1 (adaptor protein complex 1 sigma 1) disrupts clathrin-mediated vesicular transport, creating vulnerability to amyloid-β and oxidative stress. Therapeutic restoration of AP1S1 function through small

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

Critical Evaluation of Therapeutic Hypotheses

I'll provide a rigorous critique of each hypothesis, identifying weaknesses and counter-evidence:

1. AP1S1-Mediated Vesicular Transport Restoration

Major Weaknesses:

  • Single pathway oversimplification: The hypothesis assumes AP1S1 is a primary driver when vesicular transport involves hundreds of proteins with redundant functions
  • Lack of specificity evidence: No evidence provided that AP1S1 downregulation is specific to vulnerable neurons vs. normal aging
  • Therapeutic feasibility unclear: No demonstration that AP1S1

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

Practical Feasibility Assessment of Therapeutic Hypotheses

Based on my analysis of druggability, existing compounds, competitive landscape, and development considerations, here's my comprehensive assessment:

1. AP1S1-Mediated Vesicular Transport Restoration

Druggability: POOR (2/10)

  • Target Type: Adaptor protein complex component - notoriously difficult to drug
  • Structure: No available crystal structure for rational drug design
  • Chemical Matter: No known small molecule modulators of AP1S1 function
  • Mechanism: Requires enhancing protein-protein interactio

Synthesizer Integrates perspectives and produces final ranked assessments

Based on my synthesis of the Theorist's hypotheses, Skeptic's critiques, and Expert's feasibility assessment, here's the final JSON output:

Price History

0.210.380.55 evidence: market_dynamics (2026-04-04T13:44)evidence: market_dynamics (2026-04-04T16:05)debate: market_dynamics (2026-04-04T16:43)debate: market_dynamics (2026-04-04T17:04)score_update: market_dynamics (2026-04-04T17:13)debate: market_dynamics (2026-04-04T19:38)score_update: market_dynamics (2026-04-04T21:57)debate: market_dynamics (2026-04-04T21:57)evidence: market_dynamics (2026-04-05T00:04)score_update: market_dynamics (2026-04-05T02:14)evidence: evidence_update (2026-04-09T01:50)evidence: evidence_update (2026-04-09T01:50)evidence: evidence_batch_update (2026-04-13T02:18)evidence: evidence_batch_update (2026-04-13T02:18) 0.72 0.04 2026-04-042026-04-122026-04-27 Market PriceScoreevidencedebate 165 events
7d Trend
Stable
7d Momentum
▲ 0.0%
Volatility
Low
0.0109
Events (7d)
3
⚡ Price Movement Log Recent 15 events
Event Price Change Source Time
📄 New Evidence $0.445 ▲ 2.7% evidence_batch_update 2026-04-13 02:18
📄 New Evidence $0.433 ▲ 5.6% evidence_batch_update 2026-04-13 02:18
Recalibrated $0.410 ▼ 1.4% 2026-04-10 15:58
Recalibrated $0.416 ▼ 5.2% 2026-04-10 15:53
📄 New Evidence $0.439 ▼ 8.0% evidence_update 2026-04-09 01:50
📄 New Evidence $0.477 ▲ 16.5% evidence_update 2026-04-09 01:50
Recalibrated $0.409 ▼ 3.0% 2026-04-08 18:39
📊 Score Update $0.422 ▲ 4.2% market_dynamics 2026-04-05 02:14
📄 New Evidence $0.405 ▼ 28.3% market_dynamics 2026-04-05 00:04
📊 Score Update $0.565 ▲ 19.4% market_dynamics 2026-04-04 21:57
💬 Debate Round $0.473 ▲ 713.2% market_dynamics 2026-04-04 21:57
💬 Debate Round $0.058 ▼ 78.0% market_dynamics 2026-04-04 19:38
📊 Score Update $0.265 ▼ 38.2% market_dynamics 2026-04-04 17:13
💬 Debate Round $0.428 ▼ 31.9% market_dynamics 2026-04-04 17:04
💬 Debate Round $0.629 ▲ 54.2% market_dynamics 2026-04-04 16:43

Clinical Trials (1) Relevance: 60%

0
Active
0
Completed
0
Total Enrolled
PHASE2
Highest Phase
Senolytic Therapy to Modulate the Progression of Alzheimer's Disease (SToMP-AD) Study PHASE2
ACTIVE_NOT_RECRUITING · NCT04685590 · Washington University School of Medicine
Alzheimer Disease, Early Onset Mild Cognitive Impairment
Dasatinib + Quercetin Placebo Capsules

📚 Cited Papers (12)

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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.

No citation freshness data yet. Export bibliography — run scripts/audit_citation_freshness.py to populate.

📙 Related Wiki Pages (0)

No wiki pages linked to this hypothesis yet.

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⚔ Arena Performance

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📊 Resource Economics & ROI

Low Efficiency Resource Efficiency Score
0.49
26.9th percentile (776 hypotheses)
Tokens Used
9,409
KG Edges Generated
467
Citations Produced
5

Cost Ratios

Cost per KG Edge
37.64 tokens
Lower is better (baseline: 2000)
Cost per Citation
1176.12 tokens
Lower is better (baseline: 1000)
Cost per Score Point
18521.65 tokens
Tokens / composite_score

Score Impact

Efficiency Boost to Composite
+0.049
10% weight of efficiency score
Adjusted Composite
0.634

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$0.4240.510

📋 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

No DepMap CRISPR Chronos data found for CDKN2A.

Run python3 scripts/backfill_hypothesis_depmap.py to populate.

No curated ClinVar variants loaded for this hypothesis.

Run scripts/backfill_clinvar_variants.py to fetch P/LP/VUS variants.

🔍 Search ClinVar for CDKN2A →
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⚖️ Governance History

No governance decisions recorded for this hypothesis.

Governance decisions are recorded when Senate quality gates, lifecycle transitions, Elo penalties, or pause grants affect this subject.

Browse all governance decisions →

KG Entities (159)

27-hydroxycholesterolABCA1ABCB1ACEACE enhancementACSL4ADAM10AKTAP1S1AP1S1 downregulationAPOEAPOE4APPAPP overexpressionBDNFC1QC1QAC3C4BCA1

Related Hypotheses

Hippocampal-Cortical Transcriptomic Divergence Reveals Accelerated Neurodegeneration-Like Signatures
Score: 0.519 | Alzheimer disease
Gut Microbiome Remodeling to Prevent Systemic NLRP3 Priming in Neurodegeneration
Score: 0.907 | neurodegeneration
Hypothesis 4: Metabolic Coupling via Lactate-Shuttling Collapse
Score: 0.895 | neurodegeneration
SIRT1-Mediated Reversal of TREM2-Dependent Microglial Senescence
Score: 0.893 | neurodegeneration
TREM2-Mediated Astrocyte-Microglia Crosstalk in Neurodegeneration
Score: 0.892 | neurodegeneration

Estimated Development

Estimated Cost
$0
Timeline
5.5 years

🧪 Falsifiable Predictions (2)

2 total 0 confirmed 0 falsified
IF P301S tau transgenic mice are treated with the CDK4/6 inhibitor palbociclib (30 mg/kg, daily, 8 weeks) beginning at 6 months of age, THEN both hippocampal SA-β-gal positivity and AT8 immunoreactivity (p-tau Ser202/Thr205) will decrease by ≥25% relative to vehicle-treated P301S mice within 12 weeks of treatment initiation.
pending conf: 0.62
Expected outcome: ≥25% reduction in both cellular senescence markers (SA-β-gal+) and phospho-tau immunoreactivity (AT8) in hippocampal CA1 and entorhinal cortex regions.
Falsified by: Palbociclib treatment reduces SA-β-gal+ cells by ≥25% but produces no statistically significant change in AT8 immunoreactivity (p>0.05), or conversely, reduces tau phosphorylation without affecting senescence burden, would indicate the feedback loop does not operate as proposed.
Method: Male P301S Tau (PS19) transgenic mice (n≥12/genotype/treatment) crossed with mT/mG senescent cell reporter or stained for SA-β-gal; treatment with palbociclib (Selleckchem S1116) vs. vehicle (10% DMSO in PBS) via oral gavage; outcome assessment via stereology of SA-β-gal+ cells and AT8 (Thermo Fisher MN1000) ELISA or immunohistochemistry at 8 months of age; blinded analysis; power analysis for α=0.05, β=0.80.
IF primary mouse cortical neurons are treated with senocyte-conditioned media (collected from senescent astrocytes after 48h exposure to 1 μM okadaic acid) followed by CDK4/6 inhibitor (abemaciclib, 1 μM) co-treatment, THEN abemaciclib will reduce SASP-mediated GSK-3β activation (p-GSK-3β Ser9/total GSK-3β ratio ≤0.7) and prevent tau hyperphosphorylation (AT8 signal ≤1.5-fold baseline) relative to senocyte-conditioned media alone within 72 hours.
pending conf: 0.58
Expected outcome: ≥30% reduction in p-GSK-3β Ser9/total GSK-3β ratio and AT8/total tau ratio in abemaciclib co-treated neurons vs. conditioned media alone; SASP factor (IL-6) secretion reduced to ≤50% of conditioned media-exposed cultures.
Falsified by: Abemaciclib co-treatment fails to reduce SASP-induced tau hyperphosphorylation (AT8/total tau ratio remains ≥1.5-fold baseline; p>0.05 vs. conditioned media alone) despite confirmed CDK4/6 inhibition (Rb hyperphosphorylation reduced), would indicate p16^INK4a acts downstream or independently of the tau-seeding effect of SASP.
Method: Primary cortical neurons from C57BL/6J E18 embryos (n≥4 independent preparations); astrocytes prepared separately, senescence induced by 48h 1 μM okadaic acid (Abcam ab120637); conditioned media filter-sterilized and applied at 50% dilution to neurons with or without 1 μM abemaciclib (Selleckchem S9576); outcomes measured via Western blot (AT8: Thermo Fisher MN1000; p-GSK-3β Ser9: CST 9336; total GSK-3β: CST 12428; Rb: CST 9309), multiplex IL-6 ELISA (MSD), and immunocytochemistry; timeframe 72h post-treatment.

Knowledge Subgraph (200 edges)

activates (2)

agingCGASaged_exosomesTNFRSF25

associated with (13)

MOGneurodegenerationC4BneurodegenerationACEneurodegenerationCD300FneurodegenerationCDKN2Aneurodegeneration
▸ Show 8 more

catalyzes (1)

GAL3ST1sulfatide_synthesis

causes (27-hydroxycholesterol promotes oligodendrocyte mat) (1)

27-hydroxycholesterololigodendrocyte maturation

causes (age-related cytokine secretion specifically suppre) (1)

cytokine secretionmitochondrial metabolism suppression

causes (age-related decline in microglial profilin-1 disru) (1)

profilin-1 declinecytoskeletal checkpoint disruption

causes (creates a feed-forward loop of neuroinflammation l) (1)

microglial senescenceneurodegeneration vulnerability

causes (disrupted cytoskeletal checkpoints lead to prematu) (1)

cytoskeletal checkpoint disruptionpremature synaptic pruning

causes (disrupted endosomal-lysosomal trafficking creates ) (1)

vesicular transport disruptionneurodegeneration vulnerability

causes (microglia activate CXCL10-mediated recruitment of ) (1)

microglial CXCL10 productionCD8+ T cell recruitment

co associated with (51)

ACEGPX4ACECXCL10ACEAPPAPPGPX4APPCXCL10
▸ Show 46 more
CD300FGAL3ST1CD300FTREM2CDKN2ACXCL10CDKN2ASTING1CD300FCDKN2ACDKN2AGAL3ST1CDKN2ATREM2CXCL10STING1CD300FCXCL10CXCL10GAL3ST1CXCL10TREM2CXCL10PFN1GAL3ST1TREM2CD300FSTING1GAL3ST1STING1STING1TREM2C4BCA1ACEPSMCACENOMO1AP1S1TNFRSF25AP1S1Mitochondrial respiratory complexes and inflammatory cytokine receptorsAP1S1CGAS, STING1AP1S1CXCL10AP1S1PFN1APPPSMCAPPNOMO1CGAS, STING1CXCL10CGAS, STING1PFN1CXCL10PSMCCXCL10NOMO1AP1S1Cell-type specific vulnerability markersCell-type specific vulnerability markersTNFRSF25Cell-type specific vulnerability markersMitochondrial respiratory complexes and inflammatory cytokine receptorsCGAS, STING1Cell-type specific vulnerability markersCXCL10Cell-type specific vulnerability markersCell-type specific vulnerability markersPFN1GPX4PSMCGPX4NOMO1CGAS, STING1Mitochondrial respiratory complexes and inflammatory cytokine receptorsCXCL10Mitochondrial respiratory complexes and inflammatory cytokine receptorsMitochondrial respiratory complexes and inflammatory cytokine receptorsPFN1NOMO1PSMCMitochondrial respiratory complexes and inflammatory cytokine receptorsTNFRSF25CGAS, STING1TNFRSF25CXCL10TNFRSF25PFN1TNFRSF25

co discussed (75)

TREM2LAMP1TREM2NLGN1C3C1QAC3LAMP1C3NLGN1
▸ Show 70 more
C3ACSL4C1QALAMP1C1QANLGN1C1QAACSL4LAMP1NLGN1LAMP1ACSL4NLGN1ACSL4ACSL4MOGACSL4LAMP1ACSL4C1QAACSL4NLGN1ACSL4TFEBACSL4C3MOGLAMP1MOGC1QAMOGNLGN1MOGTFEBMOGTREM2MOGC3LAMP1C1QALAMP1C3C1QATFEBC1QAC3NLGN1TFEBNLGN1TREM2NLGN1C3TFEBC3NLGN1LAMP1NLGN1C1QANLGN1MOGTREM2MOGLAMP1MOGC3TFEBC3MOGTFEBC1QATFEBMOGC1QAMOGC1QCD47C1QATNFDNMT1TFEBLAMP2P62DLG4SYPABCB1GPX4ABCB1NRF2ABCB1SLC7A11CX3CR1CXCL10CXCL10TREM2CXCL10GFAPAPOE4CXCL10CXCL10TAUCXCL10MAPTADAM10AKTADAM10MAPKAPPPI3KLAMP2RAB7SIRT3SIRT6CDK5DYRK1ADYRK1ATAUAPOE4CGASAPOECGASBDNFCGASCGASMTORGDNFJNKGDNFMAPKGDNFP38ABCA1AKTABCA1PI3KSIRT1TYROBPAKTCSF1RCSF1RMAPK

codes for subunit (1)

PSMCproteasome_complex

contributes to (1)

ferroptosissynucleinopathy

controls (1)

PFN1cytoskeletal_checkpoints

damages (1)

CD8_T_cellsoligodendrocytes

downregulates (2)

agingAP1S1agingPFN1

enhances (1)

ACEamyloid_clearance

implicated in (19)

h-1e28311bneurodegenerationh-7857b01bneurodegenerationh-08a79bc5neurodegenerationh-245c3e93neurodegenerationh-678435d0neurodegeneration
▸ Show 14 more

increases (1)

agingcytokine_secretion

induces (1)

CDKN2Acellular_senescence

inhibits (1)

CD300Finflammaging

investigated in (1)

diseases-ftdh-61196ade

involved in (1)

C4Bclassical_complement_cascade

maintains (1)

proteasome_complexproteostasis

mediates (1)

APPcholinergic_vulnerability

modulates (1)

STING1NAD_metabolism

participates in (1)

C4BClassical complement cascade

prevents (2)

vesicular_transportneurodegenerationcytoskeletal_checkpointsmicroglial_senescence

promotes (3)

CXCL10white_matter_degenerationSTING1microglial_senescenceTNFRSF25cognitive_decline

recruits (1)

CXCL10CD8_T_cells

regulates (3)

TREM2microglial_activationNOMO1ER_homeostasisAP1S1vesicular_transport

suppresses (1)

cytokine_secretionmitochondrial_metabolism

targets (5)

h-9588dd18PSMCh-9a721223NOMO1h-7857b01bCD300Fh-4639c944AP1S1h-678435d0TNFRSF25

upregulates (1)

agingCXCL10

Mechanism Pathway for CDKN2A

Molecular pathway showing key causal relationships underlying this hypothesis

graph TD
    CDKN2A["CDKN2A"] -->|induces| cellular_senescence["cellular_senescence"]
    CDKN2A_1["CDKN2A"] -->|associated with| neurodegeneration["neurodegeneration"]
    CDKN2A_2["CDKN2A"] -->|co associated with| CXCL10["CXCL10"]
    CDKN2A_3["CDKN2A"] -->|co associated with| STING1["STING1"]
    CD300F["CD300F"] -->|co associated with| CDKN2A_4["CDKN2A"]
    CDKN2A_5["CDKN2A"] -->|co associated with| GAL3ST1["GAL3ST1"]
    CDKN2A_6["CDKN2A"] -->|co associated with| TREM2["TREM2"]
    style CDKN2A fill:#ce93d8,stroke:#333,color:#000
    style cellular_senescence fill:#81c784,stroke:#333,color:#000
    style CDKN2A_1 fill:#ce93d8,stroke:#333,color:#000
    style neurodegeneration fill:#ef5350,stroke:#333,color:#000
    style CDKN2A_2 fill:#ce93d8,stroke:#333,color:#000
    style CXCL10 fill:#ce93d8,stroke:#333,color:#000
    style CDKN2A_3 fill:#ce93d8,stroke:#333,color:#000
    style STING1 fill:#ce93d8,stroke:#333,color:#000
    style CD300F fill:#ce93d8,stroke:#333,color:#000
    style CDKN2A_4 fill:#ce93d8,stroke:#333,color:#000
    style CDKN2A_5 fill:#ce93d8,stroke:#333,color:#000
    style GAL3ST1 fill:#ce93d8,stroke:#333,color:#000
    style CDKN2A_6 fill:#ce93d8,stroke:#333,color:#000
    style TREM2 fill:#ce93d8,stroke:#333,color:#000

Predicted Protein Structure

🔮 CDKN2A — AlphaFold Prediction P42771 Click to expand 3D viewer

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

Source Analysis

Gene expression changes in aging mouse brain predicting neurodegenerative vulnerability

neurodegeneration | 2026-04-03 | completed

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Same Analysis (5)

SIRT1-Mediated Reversal of TREM2-Dependent Microglial Senescence
Score: 0.89 · SIRT1
TREM2-Mediated Astrocyte-Microglia Crosstalk in Neurodegeneration
Score: 0.89 · TREM2
TREM2-CSF1R Cross-Talk in Microglial Metabolic Reprogramming
Score: 0.75 · TREM2, CSF1R
TREM2-SIRT1 Metabolic Senescence Circuit in Microglial Aging
Score: 0.74 · TREM2
Early Proteasome Restoration Therapy
Score: 0.71 · PSMC
→ View all analysis hypotheses
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