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Record W4415933780 · doi:10.1101/2025.11.03.686437

Estrogen-Mediated Suppression of IL-11 as a Hormonal Mechanism Underlying Female Longevity Advantage

2025· preprint· W4415933780 on OpenAlexaff

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Language
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsDiscovery Centre
Fundersnot available
KeywordsLongevityEstrogenPolycystic ovarySenescenceGPERInflammationHormoneMechanism (biology)Fibrosis

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.028
GPT teacher head0.280
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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