TBK1 Loss Locks Microglia in an Aged/Senescent Transcriptional State, Fueling ALS-Associated SASP

Target: TBK1 → NF-κB / IRF3 / p62-autophagy / cGAS-STING axis Composite Score: 0.847 Price: $0.86▼5.5% Citation Quality: Pending ALS Status: debated
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✓ All Quality Gates Passed
Evidence Strength Pending (0%)
4
Citations
2
Debates
4
Supporting
2
Opposing
Quality Report Card click to collapse
A
Composite: 0.847
Top 2% 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%
A Evidence Strength 15% 0.82 Top 4%
A Novelty 12% 0.82 Top 23%
A Feasibility 12% 0.80 Top 24%
C+ Impact 12% 0.50 Top 84%
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: 55%
Debates
1 session D
Avg quality: 0.33
Convergence
0.00 F 24 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

The hypothesis proposes that loss-of-function mutations in TBK1 contribute to ALS pathogenesis by trapping microglia in a senescent, pro-inflammatory state characterized by the Senescence-Associated Secretory Phenotype (SASP), thereby accelerating disease progression. Supporting evidence includes a 2025 Nat Commun study demonstrating that microglia-specific TBK1 deletion in an ALS/FTD mouse model reproduces an aged-like transcriptional signature with increased inflammatory gene expression. Complementary work published in Cell (2018) established that partial TBK1 insufficiency during aging unleashes RIPK1-driven inflammation, linking TBK1 haploinsufficiency to age-dependent neurodegeneration.

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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 → NF-κB / IRF3 / p62-autophagy / cGAS-STING axis from GTEx v10.

Cerebellar Hemisphere11.6 Cerebellum10.0 Frontal Cortex BA97.2 Spinal cord cervical c-16.7 Hypothalamus6.0 Cortex5.7 Substantia nigra4.7 Anterior cingulate cortex BA244.5 Caudate basal ganglia4.0 Hippocampus3.9 Nucleus accumbens basal ganglia3.9 Amygdala3.5 Putamen basal ganglia3.5median 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 0.82 (15%) Novelty 0.82 (12%) Feasibility 0.80 (12%) Impact 0.50 (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%) 0.847 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

0.830.890.94 1.00 0.78 2026-04-262026-04-272026-04-28 Market PriceScoreevidencedebate 8 events
7d Trend
Falling
7d Momentum
▼ 5.5%
Volatility
High
0.0907
Events (7d)
8

Clinical Trials (0)

No clinical trials data available

📚 Cited Papers (8)

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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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📊 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
0.897

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

No DepMap CRISPR Chronos data found for TBK1 → NF-κB / IRF3 / p62-autophagy / cGAS-STING axis.

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No curated ClinVar variants loaded for this hypothesis.

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

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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 Triggers Astrocyte-to-Neuron Senescence Propagation Through SASP-Mediated Paracrine Signaling in ALS
Score: 0.000 | ALS
TBK1 Loss Triggers eIF2α-Mediated Translational Repression Through Microglial SASP-Induced Integrated Stress Response in Motor Neurons
Score: 0.000 | ALS
eIF2α Phosphorylation Imbalance Disrupts Mitochondrial Protein Import and Bioenergetics in ALS Motor Neurons
Score: 0.000 | ALS
eIF2α Phosphorylation Imbalance Creates Integrated Stress Response Overflow That Represses Axonal Protein Synthesis in ALS
Score: 0.866 | ALS
RBM45 Liquid-Liquid Phase Separation Dominance Hijacks RNA Processing Condensates Toward Pathological Aggregation in ALS
Score: 0.858 | ALS

Estimated Development

Estimated Cost
$0
Timeline
0 months

🧪 Falsifiable Predictions (2)

2 total 0 confirmed 0 falsified
IF iPSC-derived microglia from ALS patients with TBK1 mutations (or TBK1 knockdown via CRISPRi) are compared to isogenic controls, THEN mRNA expression of senescent identity genes (CDKN2A, GLB1, LGALS3) will increase by ≥2-fold AND secretome will show ≥50% elevation of classical SASP factors (IL-6, IL-8, CXCL1) within 72 hours of LPS stimulation, with persisted DDR activation (γH2AX foci) at 7 days.
pending conf: 0.50
Expected outcome: Upregulated senescence transcriptional signature and SASP secretome in patient-derived microglia with impaired TBK1
Falsified by: TBK1-deficient microglia fail to show increased CDKN2A/GLB1/LGALS3 expression or elevated SASP secretion compared to isogenic controls after inflammatory challenge (fold-change <1.3, p>0.05, n≥3 lines/group)
Method: iPSC-derived microglia from TBK1-mutant ALS patients or CRISPRi TBK1 knockdown in controls; RNA-seq and senescence PCR array at 72h post-LPS (100ng/mL); multiplex secretome profiling; immunofluorescence for γH2AX at day 7; flow cytometry for SA-β-gal
IF Cx3cr1-Cre;Tbk1fl/fl;SOD1G93A mice (microglia-specific TBK1 knockout in ALS model) are compared to littermate controls (SOD1G93A; Tbk1fl/fl), THEN microglial SA-β-gal+ cells and p16Ink4a/p21Cip1 expression in spinal cord ventral horn will increase by ≥60% at disease onset (12 weeks), AND SASP factors (IL-6, IL-1β, TNF-α, CXCL1) in CSF will increase by ≥40% within 8-16 weeks of age.
pending conf: 0.45
Expected outcome: Increased microglial senescence markers (SA-β-gal activity, p16Ink4a/p21Cip1) and elevated SASP factor concentrations in CSF
Falsified by: No significant difference in microglial senescence markers or SASP factor levels between TBK1-knockout and control mice at any timepoint (p>0.05, n≥10/group)
Method: Conditional microglia-specific TBK1 knockout in SOD1G93A mice (Cx3cr1-Cre/Tbk1fl/fl/SOD1G93A), measured at 8, 12, 16 weeks; SA-β-gal assay and qPCR from sorted CD11b+CD45+ microglia; cytokine profiling in CSF via multiplex ELISA

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 → NF-κB / IRF3 / p62-autophagy / cGAS-STING axis

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
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
TBK1 Loss Drives Motor Neuron Death Through Impaired Mitophagy and Met
Score: 0.53 · TBK1 → OPTN / p62 / FIP200 / mitophagy machinery
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