Estrogen-Mediated Suppression of IL-11 as a Hormonal Mechanism Underlying Female Longevity Advantage
Bibliographic record
Abstract
Abstract The female longevity advantage—averaging 4-6 years globally—stems from reduced susceptibility to inflammaging, the chronic, low-grade inflammation driving age-related diseases like fibrosis and cardiovascular decline [10]. Interleukin-11 (IL-11), a gp130-family cytokine, has emerged as a pivotal inflammaging mediator: Its genetic or pharmacological inhibition extends mouse median lifespan by 22.5% in males and 25% in females, with enhanced healthspan benefits in the latter [20-29]. Here, we propose that estrogen’s direct suppression of IL-11 transcription—via estrogen receptor-α (ERα)-mediated interference with NF-κB/AP-1 on the IL-11 promoter in osteoblasts, fibroblasts, and endothelial cells— establishes a pre-menopausal “hormonal firewall” against IL-11-driven senescence and multi-organ fibrosis [0-9]. In contrast, testosterone exhibits neutral or permissive effects, correlating with elevated IL-11 in hyperandrogenic states like polycystic ovary syndrome (PCOS) [30-40]. To test this, we developed an ordinary differential equation (ODE) model integrating IL-11 dynamics with upstream triggers (e.g., Ang II, c-Myc/miR-23 derepression) and suppressors (SIRT1 deacetylates IL-11 promoter histones; p53 represses IL-11/c-Myc; NRF2 quenches NF-κB) [10,12]. In persistent inflammaging simulations (impaired degradation, k_deg=0.1), high estrogen (1.0 arbitrary units) reduced steady-state IL-11 by 63% (179.96 to 65.77 at t=20 days), cascading to 40-50% lower STAT3/NF-κB activation and triad cytokines (TNF-α/IL-6/IL-1β) [11,13]. Synergy with high SIRT1/p53/NRF2 amplified suppression to ∼74% for IL-11 [16,17]. Post-menopausal estrogen decline erodes this buffer, but cumulative pre-menopausal protection persists, explaining sustained sex gaps post-65 [32,34]. This framework predicts estrogen replacement therapy (HRT) could mitigate inflammaging equitably, narrowing longevity disparities [35]. Validation via sex-stratified IL-11 cohorts and HRT-fibrosis trials is warranted, positioning IL-11 as a sex-specific therapeutic nexus.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".