cGAS-STING Senescence Circuit Disruption

Target: CGAS, STING1 Composite Score: 0.691 Price: $0.72▲44.2% Citation Quality: Pending neurodegeneration Status: promoted
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🟡 ALS / Motor Neuron Disease 🔴 Alzheimer's Disease 🔮 Lysosomal / Autophagy 🔬 Microglial Biology 🧠 Neurodegeneration 🔥 Neuroinflammation 🟢 Parkinson's Disease
✓ All Quality Gates Passed
Evidence Strength Pending (0%)
11
Citations
3
Debates
18
Supporting
2
Opposing
Quality Report Card click to collapse
B
Composite: 0.691
Top 20% of 1875 hypotheses
T1 Established
Multi-source converged and validated
T0 Axiom requires manual override only
A Mech. Plausibility 15% 0.85 Top 9%
A Evidence Strength 15% 0.80 Top 5%
A+ Novelty 12% 0.90 Top 18%
B+ Feasibility 12% 0.70 Top 36%
B+ Impact 12% 0.75 Top 42%
B+ Druggability 10% 0.70 Top 31%
C Safety Profile 8% 0.45 Top 76%
B Competition 6% 0.60 Top 56%
B+ Data Availability 5% 0.75 Top 26%
B+ Reproducibility 5% 0.70 Top 24%
Evidence
18 supporting | 2 opposing
Citation quality: 85%
Debates
1 session A+
Avg quality: 0.95
Convergence
0.41 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

Molecular Mechanism and Rationale

The cyclic GMP-AMP synthase (cGAS) and stimulator of interferon genes (STING) pathway represents a fundamental innate immune sensing mechanism that has emerged as a critical driver of age-related neurodegeneration. This cytosolic DNA sensing cascade, originally characterized for its role in detecting viral and bacterial nucleic acids, becomes aberrantly activated during aging due to accumulating cellular damage and mitochondrial dysfunction.

...

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Curated Mechanism Pathway

Curated pathway diagram from expert analysis

flowchart TD
    A["Mitochondrial
Dysfunction"] --> B["Cytosolic mtDNA
Release"] B --> C["cGAS Activation
DNA Sensor"] C --> D["cGAMP Synthesis
Second Messenger"] D --> E["STING1 Activation
ER Transmembrane"] E --> F["TBK1/IRF3
Phosphorylation"] F --> G["Type I IFN
Production"] G --> H["Chronic
Neuroinflammation"] H --> I["Microglial
Activation"] I --> J["Synaptic
Pruning"] J --> K["Neuronal
Loss"] K --> L["Cognitive
Decline"] E --> M["NF-kappaB
Activation"] M --> N["Pro-inflammatory
Cytokines"] N --> H H --> O["Cellular
Senescence"] O --> P["SASP Factor
Release"] P --> A Q[" cGAS/STING
Inhibitors"] -.-> C Q -.-> E R["Therapeutic
Outcome"] Q --> R style A fill:#ef5350 style H fill:#ef5350 style K fill:#ef5350 style L fill:#ef5350 style O fill:#ef5350 style Q fill:#4fc3f7 style R fill:#66bb6a

GTEx v10 Brain Expression

JSON

Median TPM across 13 brain regions for CGAS, STING1 from GTEx v10.

Spinal cord cervical c-12.2 Substantia nigra1.3 Hypothalamus1.1 Hippocampus0.7 Cerebellum0.7 Cerebellar Hemisphere0.7 Nucleus accumbens basal ganglia0.7 Caudate basal ganglia0.7 Amygdala0.7 Anterior cingulate cortex BA240.6 Frontal Cortex BA90.6 Putamen basal ganglia0.6 Cortex0.5median 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 0.85 (15%) Evidence 0.80 (15%) Novelty 0.90 (12%) Feasibility 0.70 (12%) Impact 0.75 (12%) Druggability 0.70 (10%) Safety 0.45 (8%) Competition 0.60 (6%) Data Avail. 0.75 (5%) Reproducible 0.70 (5%) KG Connect 0.23 (8%) 0.691 composite
20 citations 20 with PMID Validation: 85% 18 supporting / 2 opposing
For (18)
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
12
4
4
MECH 12CLIN 4GENE 4EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
cGAS-STING signaling links brain aging to neurodeg…SupportingMECH----PMID:41094684-
Natural compounds like punicalin and resveratrol a…SupportingMECH----PMID:39313488-
Natural compounds like punicalin and resveratrol a…SupportingMECH----PMID:41892314-
Whole-body senescent cell clearance alleviates bra…SupportingMECH----PMID:33470505-
STING-NF-κB signaling builds an influenza spillove…SupportingGENEScience-20260.58PMID:41747053-
Opportunities and challenges of targeting cGAS-STI…SupportingMECHNat Rev Cancer-20260.33PMID:41486397-
DNA-protein cross-links promote cGAS-STING-driven …SupportingGENEScience-20260.58PMID:41610251-
Ubiquitination-directed cytosolic DNA degradation …SupportingGENECancer Cell-20260.59PMID:41512867-
Inhibiting macrophage-derived lactate transport re…SupportingGENENat Cell Biol-20260.59PMID:41495200-
cGAS-STING signaling in Alzheimer's disease: …SupportingCLINMol Aspects Med-20260.33PMID:41481960-
cGAS-STING activation in Parkinson's Disease:…SupportingCLINGene-20260.33PMID:41500413-
Lock-equipped six-helix DNA bundle-mediated siSTIN…SupportingMECHJ Nanobiotechno…-20260.33PMID:41742243-
Neuronal TLR4 upregulation activates the cGAS-STIN…SupportingMECHInt Immunopharm…-20260.33PMID:41702081-
African swine fever virus pE199L, as a mitophagy r…SupportingMECHAutophagy-2026-PMID:41937559-
Microvesicle release drives cycles of mitophagy fl…SupportingMECHProc Natl Acad …-2026-PMID:41941625-
Development of UM-200: A Novel Alkyne Amide-Based …SupportingMECHJ Med Chem-2026-PMID:41866990-
EsxN drives ISG15-mediated dsDNA release to activa…SupportingCLINMicrobiol Spect…-2026-PMID:41738749-
Oxoisoaporphine Alkaloid Piano-Stool Arene Rutheni…SupportingCLINJ Am Chem Soc-2026-PMID:41910318-
cGAS-STING signaling provides crucial antimicrobia…OpposingMECH----PMID:37770901-
Signaling by cGAS-STING in Neurodegeneration, Neur…OpposingMECHTrends Neurosci-2021-PMID:33187730-
Legacy Card View — expandable citation cards

Supporting Evidence 18

cGAS-STING signaling links brain aging to neurodegeneration through molecular pathways involving senescence
Natural compounds like punicalin and resveratrol ameliorate cognitive dysfunction via cGAS-STING inhibition
Natural compounds like punicalin and resveratrol ameliorate cognitive dysfunction via cGAS-STING inhibition
Whole-body senescent cell clearance alleviates brain inflammation and cognitive impairment
STING-NF-κB signaling builds an influenza spillover barrier.
Science · 2026 · PMID:41747053 · Q:0.58
Opportunities and challenges of targeting cGAS-STING in cancer.
Nat Rev Cancer · 2026 · PMID:41486397 · Q:0.33
DNA-protein cross-links promote cGAS-STING-driven premature aging and embryonic lethality.
Science · 2026 · PMID:41610251 · Q:0.58
Ubiquitination-directed cytosolic DNA degradation governs cGAS-STING-mediated immune response to DNA damage.
Cancer Cell · 2026 · PMID:41512867 · Q:0.59
Inhibiting macrophage-derived lactate transport restores cGAS-STING signalling and enhances antitumour immunit…
Inhibiting macrophage-derived lactate transport restores cGAS-STING signalling and enhances antitumour immunity in glioblastoma.
Nat Cell Biol · 2026 · PMID:41495200 · Q:0.59
cGAS-STING signaling in Alzheimer's disease: Microglial mechanisms and therapeutic opportunities.
Mol Aspects Med · 2026 · PMID:41481960 · Q:0.33
cGAS-STING activation in Parkinson's Disease: From mechanisms to Disease-Modifying therapeutic strategies.
Gene · 2026 · PMID:41500413 · Q:0.33
Lock-equipped six-helix DNA bundle-mediated siSTING delivery ameliorates Alzheimer's disease via cGAS-STING in…
Lock-equipped six-helix DNA bundle-mediated siSTING delivery ameliorates Alzheimer's disease via cGAS-STING inhibition.
J Nanobiotechnology · 2026 · PMID:41742243 · Q:0.33
Neuronal TLR4 upregulation activates the cGAS-STING pathway to induce ferroptosis in EAE mice.
Int Immunopharmacol · 2026 · PMID:41702081 · Q:0.33
African swine fever virus pE199L, as a mitophagy receptor, suppresses antiviral innate immunity to promote vir…
African swine fever virus pE199L, as a mitophagy receptor, suppresses antiviral innate immunity to promote viral replication.
Autophagy · 2026 · PMID:41937559
Microvesicle release drives cycles of mitophagy flux disruption and inflammatory amplification in sepsis-induc…
Microvesicle release drives cycles of mitophagy flux disruption and inflammatory amplification in sepsis-induced myocardial dysfunction.
Proc Natl Acad Sci U S A · 2026 · PMID:41941625
Development of UM-200: A Novel Alkyne Amide-Based Inhibitor of the cGAS-STING Pathway.
J Med Chem · 2026 · PMID:41866990
EsxN drives ISG15-mediated dsDNA release to activate cGAS-STING signaling and promote mycobacterial survival.
Microbiol Spectr · 2026 · PMID:41738749
Oxoisoaporphine Alkaloid Piano-Stool Arene Ruthenium(II) Derivative: A cGAS-STING-Mediated Chemoimmunotherapy …
Oxoisoaporphine Alkaloid Piano-Stool Arene Ruthenium(II) Derivative: A cGAS-STING-Mediated Chemoimmunotherapy Inducer that Acts as a Dual Catalytic Inhibitor of Topoisomerase I/II.
J Am Chem Soc · 2026 · PMID:41910318

Opposing Evidence 2

cGAS-STING signaling provides crucial antimicrobial defense and DNA damage surveillance with protective roles …
cGAS-STING signaling provides crucial antimicrobial defense and DNA damage surveillance with protective roles in brain injury contexts
Signaling by cGAS-STING in Neurodegeneration, Neuroinflammation, and Aging.
Trends Neurosci · 2021 · PMID:33187730
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

0.420.550.68 debate: market_dynamics (2026-04-04T15:34)debate: market_dynamics (2026-04-04T17:33)score_update: market_dynamics (2026-04-04T19:31)debate: market_dynamics (2026-04-04T20:11)score_update: market_dynamics (2026-04-04T21:39)evidence: market_dynamics (2026-04-04T22:15)score_update: market_dynamics (2026-04-04T23:09)evidence: market_dynamics (2026-04-05T00:46)evidence: market_dynamics (2026-04-05T01:50)debate: market_dynamics (2026-04-05T02:08)debate: market_dynamics (2026-04-05T02:35)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) 0.81 0.29 2026-04-042026-04-122026-04-27 Market PriceScoreevidencedebate 174 events
7d Trend
Rising
7d Momentum
▲ 0.0%
Volatility
Low
0.0190
Events (7d)
4
⚡ Price Movement Log Recent 15 events
Event Price Change Source Time
📄 New Evidence $0.527 ▲ 2.8% evidence_batch_update 2026-04-13 02:18
📄 New Evidence $0.513 ▲ 5.5% evidence_batch_update 2026-04-13 02:18
Recalibrated $0.486 ▼ 1.2% 2026-04-10 15:58
Recalibrated $0.492 ▼ 7.3% 2026-04-10 15:53
📄 New Evidence $0.531 ▼ 5.3% evidence_update 2026-04-09 01:50
📄 New Evidence $0.561 ▲ 15.5% evidence_update 2026-04-09 01:50
Recalibrated $0.485 ▼ 0.5% 2026-04-08 18:39
💬 Debate Round $0.488 ▲ 20.2% market_dynamics 2026-04-05 02:35
💬 Debate Round $0.406 ▼ 19.4% market_dynamics 2026-04-05 02:08
📄 New Evidence $0.503 ▼ 0.7% market_dynamics 2026-04-05 01:50
📄 New Evidence $0.507 ▲ 8.6% market_dynamics 2026-04-05 00:46
📊 Score Update $0.467 ▲ 16.8% market_dynamics 2026-04-04 23:09
📄 New Evidence $0.400 ▼ 2.2% market_dynamics 2026-04-04 22:15
📊 Score Update $0.408 ▲ 27.4% market_dynamics 2026-04-04 21:39
💬 Debate Round $0.321 ▼ 22.1% market_dynamics 2026-04-04 20:11

Clinical Trials (0) Relevance: 62%

No clinical trials data available

📚 Cited Papers (34)

1 figure
Figures
Figures
Figures available at source paper (no open-access XML found).
deep_link
Signaling by cGAS-STING in Neurodegeneration, Neuroinflammation, and Aging.
Trends in neurosciences (2021) · PMID:33187730
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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

No arena matches recorded yet. Browse Arenas
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📊 Resource Economics & ROI

Moderate Efficiency Resource Efficiency Score
0.76
50.6th percentile (776 hypotheses)
Tokens Used
9,409
KG Edges Generated
7
Citations Produced
11

Cost Ratios

Cost per KG Edge
37.64 tokens
Lower is better (baseline: 2000)
Cost per Citation
470.45 tokens
Lower is better (baseline: 1000)
Cost per Score Point
14747.65 tokens
Tokens / composite_score

Score Impact

Efficiency Boost to Composite
+0.076
10% weight of efficiency score
Adjusted Composite
0.766

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
2026-04-17T09:10$0.6220.546

📋 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 CGAS, STING1.

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 CGAS, STING1 →
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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

Linked Experiments (1)

cGAS/STING pathway activation by TDP-43-released mtDNAexploratory | tests | 0.95

Related Hypotheses

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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
Optimized Temporal Window for Metabolic Boosting Therapy Determines Success of Microglial State Transition Restoration
Score: 0.887 | neurodegeneration

Estimated Development

Estimated Cost
$0
Timeline
5.5 years

🧪 Falsifiable Predictions (3)

3 total 0 confirmed 0 falsified
IF cGAMP levels are quantified in brain tissue from young (3 months) versus aged (18-24 months) C57BL/6 mice, THEN cGAMP concentrations will be significantly elevated (≥2-fold increase) in aged brains correlating with increased p-STING (Ser365/366), p-TBK1, and p-IRF3 (Ser396) within a single cross-sectional measurement using LC-MS/MS and immunoblot analysis.
pending conf: 0.82
Expected outcome: Elevated cGAMP levels (LC-MS/MS), increased p-STING1 (Ser365/366) and p-TBK1 (Western blot/immunohistochemistry), and elevated p-IRF3 (Ser396) in aged mouse cortex and hippocampus compared to young controls, with positive correlation between cGAMP and inflammatory markers (IL-6, TNF-α, GFAP for astrocyte reactivity)
Falsified by: If cGAMP levels are NOT elevated in aged brains OR if p-STING/p-TBK1/p-IRF3 are NOT increased with age (p>0.05, Mann-Whitney U test), the hypothesis is disproven. If elevated cGAMP is observed but without corresponding STING pathway activation, or if STING activation occurs without cGAMP elevation, alternative mechanisms are indicated.
Method: Collect cortex and hippocampus from young (3 months, n=10) and aged (18-24 months, n=10) C57BL/6 female mice. Snap-freeze for LC-MS/MS cGAMP quantification (with 13C15N-labeled cGAMP internal standard); prepare parallel samples for Western blot (p-STING1 Ser365/366, p-TBK1, p-IRF3 Ser396, total STING, cGAS, β-actin); perform immunohistochemistry for p-STING and p-IRF3 on fixed brain sections; correlate with GFAP and Iba-1 as markers of neuroinflammation.
IF cGAS is pharmacologically inhibited using a selective inhibitor (e.g., RU.521 or G150) in aged mouse hippocampal neurons and surrounding glia, THEN levels of pro-inflammatory cytokines (IL-6, TNF-α, CXCL10) will decrease by ≥50% and neuronal viability will increase by ≥30% compared to vehicle-treated controls within 2-4 weeks of treatment using aged primary neuron-glia co-culture or organoid models.
pending conf: 0.75
Expected outcome: Decrease in IL-6, TNF-α, CXCL10 levels (ELISA/qPCR) and increase in neuronal survival (Live/Dead assay, TUNEL staining) in aged neural cultures treated with cGAS inhibitor versus vehicle control
Falsified by: If cGAS inhibition does NOT reduce neuroinflammatory markers OR does NOT improve neuronal survival (p>0.05, two-tailed t-test), the hypothesis is disproven. Particularly if inflammatory markers remain elevated or neuronal death continues despite cGAS inhibition, the pathway is not the primary driver.
Method: Treat aged (>12 months) primary mouse hippocampal neuron-glia co-cultures or cerebral organoids with escalating doses of RU.521 (0.1-10 μM) or vehicle (DMSO) for 7-28 days. Measure secreted cytokines (IL-6, TNF-α, CXCL10) via ELISA; measure neuronal viability via Calcein-AM/propidium iodide Live/Dead assay; confirm cGAS inhibition via cGAMP quantification (LC-MS/MS); use qPCR for inflammatory gene expression.
IF STING1 is genetically deleted in SAMP8 accelerated aging mice, THEN neuroinflammation (Iba-1+ microglial activation, IL-1β expression), tau hyperphosphorylation (AT8, AT180), and cognitive deficits (Morris water maze, object location memory) will be significantly attenuated compared to STING1+/+ SAMP8 controls within 6-9 months using STING1 KO mice crossed with SAMP8 or natural aging models.
pending conf: 0.68
Expected outcome: Reduced microglial activation (Iba-1 immunostaining with Sholl analysis), decreased hippocampal IL-1β and p-tau levels, and improved cognitive performance (decreased escape latency in Morris water maze, increased discrimination index in novel object location test) in STING1 KO × SAMP8 mice versus STING1+/+ × SAMP8 controls
Falsified by: If STING1 deletion does NOT reduce neuroinflammation, tau pathology, OR cognitive deficits (p>0.05, two-way ANOVA with genotype × age interaction), the hypothesis is disproven. Specifically, if SAMP8-STING1 KO mice still develop neurodegeneration equivalent to STING1+/+ controls, cGAS-STING is not a necessary driver.
Method: Generate STING1−/− mice on SAMP8 background (or use natural aging C57BL/6 mice). Perform behavioral testing (Morris water maze at 8 and 12 months; novel object location at 10 months), followed by tissue collection. Assess neuroinflammation via Iba-1/CD68 immunostaining and cytokine ELISA; assess tau pathology via Western blot for AT8, AT180, and total tau; use stereological cell counts for neurodegeneration.

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 CGAS, STING1

Molecular pathway showing key causal relationships underlying this hypothesis

graph TD
    CGAS__STING1["CGAS, STING1"] -->|associated with| neurodegeneration["neurodegeneration"]
    AP1S1["AP1S1"] -->|co associated with| CGAS__STING1_1["CGAS, STING1"]
    CGAS__STING1_2["CGAS, STING1"] -->|co associated with| CXCL10["CXCL10"]
    CGAS__STING1_3["CGAS, STING1"] -->|co associated with| PFN1["PFN1"]
    CGAS__STING1_4["CGAS, STING1"] -->|co associated with| Cell_type_specific_vulner["Cell-type specific vulnerability markers"]
    CGAS__STING1_5["CGAS, STING1"] -->|co associated with| Mitochondrial_respiratory["Mitochondrial respiratory complexes and inflammatory cytokine receptors"]
    CGAS__STING1_6["CGAS, STING1"] -->|co associated with| TNFRSF25["TNFRSF25"]
    style CGAS__STING1 fill:#ce93d8,stroke:#333,color:#000
    style neurodegeneration fill:#ef5350,stroke:#333,color:#000
    style AP1S1 fill:#ce93d8,stroke:#333,color:#000
    style CGAS__STING1_1 fill:#ce93d8,stroke:#333,color:#000
    style CGAS__STING1_2 fill:#ce93d8,stroke:#333,color:#000
    style CXCL10 fill:#ce93d8,stroke:#333,color:#000
    style CGAS__STING1_3 fill:#ce93d8,stroke:#333,color:#000
    style PFN1 fill:#ce93d8,stroke:#333,color:#000
    style CGAS__STING1_4 fill:#ce93d8,stroke:#333,color:#000
    style Cell_type_specific_vulner fill:#ce93d8,stroke:#333,color:#000
    style CGAS__STING1_5 fill:#ce93d8,stroke:#333,color:#000
    style Mitochondrial_respiratory fill:#ce93d8,stroke:#333,color:#000
    style CGAS__STING1_6 fill:#ce93d8,stroke:#333,color:#000
    style TNFRSF25 fill:#ce93d8,stroke:#333,color:#000

3D Protein Structure

🧬 CGAS — PDB 4LEV Click to expand 3D viewer

Experimental structure from RCSB PDB | 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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