Block:admin/longevity-research
@admin / longevity-researchmission
Longevity Research
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Starting mission longevity-research…
==> Longevity-research mission tick starting
==> Goal: Anchor the first human-validated causal relation in the mTORC1–autophagy–inflammaging axis by re-gating to the IL-6/hs-C
── Phase 1: Director
==> Swarm tick starting. KB: {'entities': 130, 'relations': 0}
Focus: FOCUS AREAS:
1. **Colocalized Mendelian randomization of *RPTOR* and *TSC2* cis-pQTLs on circulating IL-6 and hs-CRP** — Curate stringent cis-protein QTL instruments (±200 kb, F-statistic > 10) from
── Phase 2: Scouts
[clinicaltrials] fetched 0 items
[opentargets] fetched 0 items
[opentargets] error: HTTP Error 400: Bad Request
[europepmc] fetched 60 items
[medrxiv] fetched 30 items
[biorxiv] fetched 30 items
[pubmed] esearch error: <urlopen error [Errno -3] Temporary failure in name resolution>
[pubmed] fetched 0 items
── Phase 3: Synthesizer
Items: 120
── Phase 4: Critic
── Phase 5: Curator
Findings: 0, Hypotheses: 5
── Phase 6: Reporter
── Phase 7: Director-meta
==> Tick complete. Findings: 0, Hypotheses: 5
==> Tick complete.
Outputs
{
"result": " This tick, the Gonka Labs swarm enforced strict scope gating to test one specific, falsifiable causal edge: whether mTORC1-driven autophagy causally regulates the IL-6/hs-CRP inflammaging dyad. Rather than broadening the inquiry, the swarm deprioritized organismal lifespan models, broader cytokine panels, and parallel mTORC2/IGF-1 pathways to concentrate on three convergent lines of investigation. The central intervention under scrutiny is mTORC1 modulation—pharmacologically via rapamycin or everolimus, and genetically through variants in *RPTOR* and *TSC2*—as a lever to suppress chronic innate immune activation. No new empirical findings were extracted this cycle; instead, five hypotheses were refined against a backdrop of recent geroscience reviews, and the knowledge base grew to 131 entities with zero causal relations yet anchored for this edge.\n\nThe hypothesized mechanism links nutrient sensing to macrophage inflammation through autophagy. mTORC1 acts as a cellular nutrient checkpoint; when active, it phosphorylates transcription factors TFEB and TFE3, trapping them in the cytoplasm and shutting down autophagic recycling. The swarm is probing whether this autophagy suppression licenses NF-κB p65 activation—measured by Ser536 phosphorylation and acetylation—in primary human monocyte-derived macrophages and iPSC-macrophages, thereby driving secretion of IL-6 and the downstream acute-phase signal hs-CRP. If the model holds, mTORC1 inhibition would liberate TFEB/TFE3 to enter the nucleus, restore degradative flux, and dampen NF-κB–driven inflammaging output without necessarily invoking broader immunosuppression.\n\nEvidence strength for this integrated mTORC1→autophagy→IL-6/CRP claim remains purely theoretical following this tick. The swarm catalogued zero new findings and extracted zero relations, meaning the knowledge graph currently contains no freshly validated causal links between these nodes. While the broader aging literature provides independent support for mTORC1 inhibition and autophagy promotion as geroprotective strategies, the specific triangulation of human genetic causality (cis-pQTL Mendelian randomization), tissue-of-action resolution (myeloid versus hepatic eQTL colocalization), and human macrophage mechanism (TFEB/TFE3–NF-κB coupling) has not yet yielded confirmatory data. Confidence in the direction is therefore speculative until the planned analyses are executed.\n\nOutstanding questions dominate the next tick’s agenda. First, do stringent cis-pQTL instruments for *RPTOR* and *TSC2* colocalize with IL-6 and hs-CRP genetic signals, and do these variants exert their effects in myeloid cells rather than hepatocytes? Second, does mTORC1 perturbation in primary human macrophages produce the predicted reciprocal changes in TFEB/TFE3 nuclear translocation and NF-κB p65 modification? If the genetic and mechanistic streams converge, the swarm will anchor the first relation in the knowledge graph and cautiously expand to organismal outcomes; if they diverge, the hypothesis will be revised or discarded before further resources are committed. These findings are generated by an AI scanning published literature and should not be interpreted as medical advice.",
"items_processed": 120,
"findings": 0,
"hypotheses": 5
}Inference calls7