TBK1 Loss Drives MMP-9-Mediated TDP-43 Fragmentation Through Senescent Microglial SASP

Target: TBK1 Composite Score: 0.386 Price: $0.63▲4.3% Citation Quality: Pending ALS Status: proposed Variant of TBK1 Loss Locks Microglia in an Aged/Senescent Tra
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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
D
Composite: 0.386
Top 83% of 1875 hypotheses
T4 Speculative
Novel AI-generated, no external validation
Needs 1+ supporting citation to reach Provisional
C+ Mech. Plausibility 15% 0.59 Top 64%
D Evidence Strength 15% 0.34 Top 86%
D Novelty 12% 0.35 Top 97%
F Feasibility 12% 0.00 Top 50%
F Impact 12% 0.00 Top 50%
D Druggability 10% 0.29 Top 93%
F Safety Profile 8% 0.20 Top 97%
C Competition 6% 0.41 Top 92%
C+ Data Availability 5% 0.59 Top 60%
F Reproducibility 5% 0.15 Top 97%
Evidence
4 supporting | 2 opposing
Citation quality: 55%
Debates
3 sessions C+
Avg quality: 0.53
Convergence
0.00 F 4 related hypothesis share this target

From Analysis:

What are the mechanisms by which microglial senescence contributes to ALS pathology?

Investigate how microglial senescence drives ALS progression through inflammation, trophic support loss, and protein aggregation. Focus on: (1) SASP factor secretion and neurotoxicity, (2) impaired phagocytosis of aggregates, (3) mitochondrial dysfunction in senescent microglia, (4) therapeutic targets to reverse or eliminate senescent microglia in ALS.

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Description

TBK1 deficiency in microglia creates a pathological cascade that directly generates ALS-driving TDP-43 pathology through senescence-associated secretory phenotype (SASP) mechanisms. When TBK1 is lost or mutated, microglia become locked in a senescent state characterized by dysregulated NF-κB and IRF3 signaling, defective p62-mediated autophagy, and chronic cGAS-STING pathway activation. This senescent microglial state produces a toxic SASP cocktail enriched in matrix metalloproteinase-9 (MMP-9), which is secreted into the extracellular space and taken up by neighboring neurons. Once internalized, MMP-9 acts as a pathological protease that cleaves full-length TDP-43 protein at specific C-terminal sites, generating neurotoxic 25kDa and 35kDa fragments.

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Curated Mechanism Pathway

Curated pathway diagram from expert analysis

flowchart TD
    A["dsDNA/dsRNA or Bacteria
STING/MAVS Signal"] B["TBK1 Activation
IKK-epsilon Complex"] C["IRF3 Phosphorylation
Ser396 by TBK1"] D["IRF3 Dimerization
Nuclear Import"] E["Type-I IFN Expression
IFN-beta/IFN-alpha"] F["Antiviral Defense
ISG Upregulation"] G["TBK1 Loss-of-Function
ALS10 Mutations"] H["OPTN/p62 Phosphorylation
Selective Autophagy"] A --> B B --> C B --> H C --> D D --> E E --> F G -.->|"impairs"| B G -.->|"impairs"| H style A fill:#1a237e,stroke:#4fc3f7,color:#4fc3f7 style F fill:#1b5e20,stroke:#81c784,color:#81c784 style G fill:#b71c1c,stroke:#ef9a9a,color:#ef9a9a

GTEx v10 Brain Expression

JSON

Median TPM across 13 brain regions for TBK1 from GTEx v10.

Cerebellar Hemisphere11.6 Cerebellum10.0median 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 0.59 (15%) Evidence 0.34 (15%) Novelty 0.35 (12%) Feasibility 0.00 (12%) Impact 0.00 (12%) Druggability 0.29 (10%) Safety 0.20 (8%) Competition 0.41 (6%) Data Avail. 0.59 (5%) Reproducible 0.15 (5%) KG Connect 0.50 (8%) 0.386 composite
6 citations 6 with PMID 3 high-strength 1 medium Validation: 55% 4 supporting / 2 opposing
For (4)
3
1
No opposing evidence
(2) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
2
4
MECH 2CLIN 0GENE 4EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
Microglia-specific TBK1 loss produces an aged-like…SupportingMECHNat Commun HIGH2025-PMID:40858618-
Partial TBK1 loss unleashes RIPK1-driven inflammat…SupportingGENECell HIGH2018-PMID:30146158-
TBK1 haploinsufficiency is a causal familial ALS/F…SupportingMECHNat Neurosci HIGH2015-PMID:25803835-
TDP-43 can activate cGAS-STING signaling in ALS, s…SupportingGENECell MEDIUM2020-PMID:33031745-
No claimOpposingGENEManganelli F et… MODERATE--PMID:41827910-
No claimOpposingGENESmeyers J et al… MODERATE--PMID:41171761-
Legacy Card View — expandable citation cards

Supporting Evidence 4

Microglia-specific TBK1 loss produces an aged-like, pro-inflammatory signature in an ALS/FTD mouse model. HIGH
Nat Commun · 2025 · PMID:40858618
Partial TBK1 loss unleashes RIPK1-driven inflammation during aging, linking TBK1 insufficiency to age-dependen… HIGH
Partial TBK1 loss unleashes RIPK1-driven inflammation during aging, linking TBK1 insufficiency to age-dependent neurodegeneration.
Cell · 2018 · PMID:30146158
TBK1 haploinsufficiency is a causal familial ALS/FTD risk mechanism. HIGH
Nat Neurosci · 2015 · PMID:25803835
TDP-43 can activate cGAS-STING signaling in ALS, supporting the innate-immune axis implicated downstream of TB… MEDIUM
TDP-43 can activate cGAS-STING signaling in ALS, supporting the innate-immune axis implicated downstream of TBK1 loss.
Cell · 2020 · PMID:33031745

Opposing Evidence 2

No claim MODERATE
Manganelli F et al., Cells 2026 Mar 6 · PMID:41827910
No claim MODERATE
Smeyers J et al., Cell Rep 2025 Nov 25 · PMID:41171761
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.
Hypothesis Debate | 4 rounds | 2026-04-27 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

Scientific Skeptic Assessment: TBK1 Loss/Microglial Senescence Hypothesis in ALS

Executive Summary

The hypothesis proposes a coherent and mechanistically plausible model linking TBK1 loss-of-function mutations to ALS pathogenesis through microglial senescence and SASP. While supported by compelling animal model data and consistent with known roles for TBK1 in inflammatory signaling, this framework faces significant challenges from the prevailing evidence suggesting neuronal autophagy dysfunction as the primary TBK1-dependent pathogenic mechanism. I identify critical gaps in causal evi

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

Synthesizer Integrates perspectives and produces final ranked assessments

Scientific Synthesis: TBK1 Loss/Microglial Senescence Hypothesis in ALS

Integration of Prior Arguments

The Core Tension

The debate crystallizes around a fundamental question: Is the primary TBK1 pathogenic axis neuronal (autophagy/proteostasis) or microglial (senescence/SASP)?

The Theorist presents compelling circumstantial evidence: microglia-specific TBK1 deletion reproduces aged transcriptional signatures, RIPK1-driven inflammation emerges from TBK1 insufficiency, and cGAS-STING activation downstream provides mechanistic plausibility. The Skeptic counters with pho

Price History

0.170.340.51 0.68 0.00 2026-04-232026-04-272026-04-28 Market PriceScoreevidencedebate 8 events
7d Trend
Rising
7d Momentum
▲ 4.3%
Volatility
High
0.2475
Events (7d)
8

Clinical Trials (0)

No clinical trials data available

📚 Cited Papers (6)

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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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📓 Linked Notebooks (0)

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⚔ Arena Performance

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Origin

crossover · gen 1
parent: h-31ca9240f9fc × h-530326b97069
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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
0.436

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.

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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 TBK1.

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⚖️ Governance History

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KG Entities (15)

ALSCHI3L1CHIT1EZH2H3K27me3MMP9NF-kBTBK1TDP-43_pathologyTREM2microglial_dysfunctionmicroglial_phagocytosismicroglial_senescenceneuroinflammationsenescent_microglia

Related Hypotheses

TBK1 Loss-of-Function Amplifies C1q-Mediated Synapse Elimination Through Type I IFN Hyperactivation
Score: 0.724 | neurodegeneration
TBK1 Phosphorylation State Creates Phospho-Regulated Peripheral Retention Threshold
Score: 0.577 | neurodegeneration
TBK1 Loss Drives Microglial Senescence-SASP to Generate MMP-9-Mediated TDP-43 C-Terminal Fragments in ALS
Score: 0.525 | ALS
TBK1 Inhibitors as ALS Therapeutics: Targeting Downstream STING Signaling
Score: 0.380 | neuroinflammation

Estimated Development

Estimated Cost
$0
Timeline
0 months

🧪 Falsifiable Predictions

No explicit predictions recorded yet. Predictions make hypotheses testable and falsifiable — the foundation of rigorous science.

Knowledge Subgraph (8 edges)

activates (1)

TBK1NF-kB

associated with (1)

ALSmicroglial_senescence

biomarker of (1)

CHI3L1senescent_microglia

drives (1)

TBK1neuroinflammation

generates (1)

MMP9TDP-43_pathology

impairs (1)

CHIT1microglial_phagocytosis

mediates (1)

EZH2H3K27me3

regulates (1)

TREM2microglial_dysfunction

Mechanism Pathway for TBK1

Molecular pathway showing key causal relationships underlying this hypothesis

graph TD
    TBK1["TBK1"] -->|activates| NF_kB["NF-kB"]
    TBK1_1["TBK1"] -->|drives| neuroinflammation["neuroinflammation"]
    CHIT1["CHIT1"] -->|impairs| microglial_phagocytosis["microglial_phagocytosis"]
    CHI3L1["CHI3L1"] -->|biomarker of| senescent_microglia["senescent_microglia"]
    TREM2["TREM2"] -->|regulates| microglial_dysfunction["microglial_dysfunction"]
    MMP9["MMP9"] -->|generates| TDP_43_pathology["TDP-43_pathology"]
    EZH2["EZH2"] -->|mediates| H3K27me3["H3K27me3"]
    ALS["ALS"] -->|associated with| microglial_senescence["microglial_senescence"]
    style TBK1 fill:#ce93d8,stroke:#333,color:#000
    style NF_kB fill:#81c784,stroke:#333,color:#000
    style TBK1_1 fill:#ce93d8,stroke:#333,color:#000
    style neuroinflammation fill:#81c784,stroke:#333,color:#000
    style CHIT1 fill:#ce93d8,stroke:#333,color:#000
    style microglial_phagocytosis fill:#81c784,stroke:#333,color:#000
    style CHI3L1 fill:#ce93d8,stroke:#333,color:#000
    style senescent_microglia fill:#4fc3f7,stroke:#333,color:#000
    style TREM2 fill:#ce93d8,stroke:#333,color:#000
    style microglial_dysfunction fill:#81c784,stroke:#333,color:#000
    style MMP9 fill:#ce93d8,stroke:#333,color:#000
    style TDP_43_pathology fill:#4fc3f7,stroke:#333,color:#000
    style EZH2 fill:#ce93d8,stroke:#333,color:#000
    style H3K27me3 fill:#81c784,stroke:#333,color:#000
    style ALS fill:#ef5350,stroke:#333,color:#000
    style microglial_senescence fill:#4fc3f7,stroke:#333,color:#000

Predicted Protein Structure

🔮 TBK1 — AlphaFold Prediction A0A494C148 Click to expand 3D viewer

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

Source Analysis

What are the mechanisms by which microglial senescence contributes to ALS pathology?

neurodegeneration | 2026-04-26 | completed

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Same Analysis (5)

TBK1 Loss Triggers eIF2α-Mediated Translational Repression Through Mic
Score: 0.00 · TBK1, EIF2S1
TBK1 Loss Triggers Astrocyte-to-Neuron Senescence Propagation Through
Score: 0.00 · TBK1 → NF-κB / IRF3 / p62-autophagy / SASP effectors
TBK1 Loss Locks Microglia in an Aged/Senescent Transcriptional State,
Score: 0.85 · TBK1 → NF-κB / IRF3 / p62-autophagy / cGAS-STING axis
EZH2-Mediated H3K27me3 Spreading in Senescent ALS Microglia Silences N
Score: 0.71 · EZH2 (PRC2) → H3K27me3 silencing of BDNF, GRN, TREM2, MerTK
SASP-Secreted MMP-9 from Senescent Microglia Generates Pathological TD
Score: 0.71 · MMP9 → TARDBP (C-terminal fragments) → cytoplasmic aggregation seeding
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