From Analysis:
Does Alectinib truly bind C1q directly with high affinity, or is this an experimental artifact?
The fundamental premise remains unvalidated despite extensive mechanistic speculation. Independent validation using purified proteins and orthogonal binding assays is essential before pursuing mechanistic studies. This determines whether any C1q-related effects are direct or indirect. Source: Debate session sess_SDA-2026-04-16-gap-pubmed-20260410-095709-4e97c09e (Analysis: SDA-2026-04-16-gap-pubmed-20260410-095709-4e97c09e)
Molecular Mechanism and Rationale
The proposed mechanism centers on alectinib's potential direct interaction with the ITGAM/CD11b subunit of complement receptor 3 (CR3), a critical heterodimeric integrin receptor composed of CD11b (ITGAM) and CD18 (ITGB2) subunits. CR3 functions as the primary microglial receptor for complement component C1q, facilitating the recognition and phagocytic elimination of C1q-opsonized synapses during complement-mediated synaptic pruning. The molecular architecture of CR3 includes an N-terminal I-domain within CD11b that contains the primary ligand-binding site, specifically recognizing the iC3b complement fragment and potentially C1q through conformational changes induced by inside-out signaling.
No AI visual card yet
Curated pathway diagram from expert analysis
flowchart TD
A["Target Gene: ITGAM"]
B["Molecular Mechanism
Pathway Activation"]
C["Cellular Phenotype
Neuronal / Glial Response"]
D["Network Effect
Circuit-Level Consequence"]
E["Disease Relevance
Neurodegeneration Link"]
A --> B --> C --> D --> E
style A fill:#1a237e,stroke:#4fc3f7,color:#4fc3f7
style E fill:#1b5e20,stroke:#81c784,color:#81c784
Median TPM across 13 brain regions for ITGAM from GTEx v10.
Mechanism: C1q binds directly to disease-altered N-glycans or O-glycans on myelin debris, apoptotic neurites, or synaptic membranes, while a separate C1q domain engages microglial lectin receptors such as CLEC7A, SIGLEC11, or SIGLEC3/CD33. In this model, C1q effects that appear receptor-specific are actually ternary-complex effects requiring both purified C1q and a glycosylated ligand surface.
Key Evidence: C1q recognizes diverse altered-self ligands on apoptotic cells and immune complexes through its globular heads, supporting multivalent pattern-rec
The hypothesis requires C1q to possess two functionally distinct binding domains: one for disease-altered glycans on target surfaces and a separate, unspecified domain engaging microglial lectin receptors (SIGLEC3/CD33, CLEC7A, SIGLEC11). C1q's structure is well-characterized—globular heads mediate target recognition while collagen-like stalks engage complement receptors (CR1, CR2) and FcγRs. **There is no validated lectin-bind
The Skeptic's fundamental challenge is well-founded: pursuing mechanistic studies on unvalidated premises risks wasted resources and misleading therapeutic leads. However, translational potential depends not only on mechanistic validity but also on the existence of druggable targets, patient population fit, and synergy with the current clinical development landscape.
{
"ranked_hypotheses": [
{
"rank": 1,
"title": "ApoE-Isoform C1q Scaffold Hypothesis",
"mechanism": "ApoE isoforms serve as scaffolds that differentially modulate C1q deposition on lipid surfaces, altering complement activation patterns and microglial recognition.",
"target_gene": "APOE",
"confidence_score": 0.8,
"novelty_score": 0.5,
"feasibility_score": 0.6,
"impact_score": 0.8,
"composite_score": 0.68,
"testable_prediction": "SPR or co-immunoprecipitation assays comparing ApoE2/E3/E4 isoforms will reveal isoform-specific di
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.
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.
Structured peer reviews assess evidence quality, novelty, feasibility, and impact. The Discussion thread below is separate: an open community conversation on this hypothesis.
No DepMap CRISPR Chronos data found for ITGAM.
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.
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.
Molecular pathway showing key causal relationships underlying this hypothesis
graph TD
APOE["APOE"] -->|modulates| C1q_deposition["C1q deposition"]
C1QA["C1QA"] -->|associated with| TREM2["TREM2"]
APOE_1["APOE"] -->|modulates| complement_activation["complement activation"]
C1QA_2["C1QA"] -->|modulates| microglial_recognition["microglial recognition"]
C1QA_3["C1QA"] -->|facilitates| synaptic_pruning["synaptic pruning"]
C1QA_4["C1QA"] -->|targets| disease_altered_synapses["disease-altered synapses"]
C1QA_5["C1QA"] -->|interacts with| microglial_receptors["microglial receptors"]
C1QA_6["C1QA"] -->|engages| SIGLEC3["SIGLEC3"]
C1QA_7["C1QA"] -->|binds| SIGLEC3_8["SIGLEC3"]
C1QA_9["C1QA"] -->|engages| CLEC7A["CLEC7A"]
C1QA_10["C1QA"] -->|binds| CLEC7A_11["CLEC7A"]
C1QA_12["C1QA"] -->|modulates| microglial_activation["microglial activation"]
style APOE fill:#ce93d8,stroke:#333,color:#000
style C1q_deposition fill:#4fc3f7,stroke:#333,color:#000
style C1QA fill:#4fc3f7,stroke:#333,color:#000
style TREM2 fill:#4fc3f7,stroke:#333,color:#000
style APOE_1 fill:#ce93d8,stroke:#333,color:#000
style complement_activation fill:#4fc3f7,stroke:#333,color:#000
style C1QA_2 fill:#4fc3f7,stroke:#333,color:#000
style microglial_recognition fill:#4fc3f7,stroke:#333,color:#000
style C1QA_3 fill:#4fc3f7,stroke:#333,color:#000
style synaptic_pruning fill:#4fc3f7,stroke:#333,color:#000
style C1QA_4 fill:#4fc3f7,stroke:#333,color:#000
style disease_altered_synapses fill:#4fc3f7,stroke:#333,color:#000
style C1QA_5 fill:#4fc3f7,stroke:#333,color:#000
style microglial_receptors fill:#4fc3f7,stroke:#333,color:#000
style C1QA_6 fill:#4fc3f7,stroke:#333,color:#000
style SIGLEC3 fill:#4fc3f7,stroke:#333,color:#000
style C1QA_7 fill:#4fc3f7,stroke:#333,color:#000
style SIGLEC3_8 fill:#4fc3f7,stroke:#333,color:#000
style C1QA_9 fill:#4fc3f7,stroke:#333,color:#000
style CLEC7A fill:#4fc3f7,stroke:#333,color:#000
style C1QA_10 fill:#4fc3f7,stroke:#333,color:#000
style CLEC7A_11 fill:#4fc3f7,stroke:#333,color:#000
style C1QA_12 fill:#4fc3f7,stroke:#333,color:#000
style microglial_activation fill:#4fc3f7,stroke:#333,color:#000
molecular biology | 2026-04-21 | completed
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