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Record W7117246187 · doi:10.1002/alz70859_099442

Neuroprotective potential of 17‐beta Estradiol: Targeting Inflammation and Mitochondrial Dysfunction in Alzheimer’s Disease

2025· article· en· W7117246187 on OpenAlexaff
Pranav Mishra, Ehsan Esfahani, Paul Fernyhough, Benedict C. Albensi

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsNeuroprotectionInflammationDiseaseNeurotoxicityMitochondrionNeurodegeneration

Abstract

fetched live from OpenAlex

BACKGROUND: Alzheimer's disease (AD) a neurodegenerative disorder affecting memory and cognition, is also linked to inflammation and mitochondrial dysfunction. Amyloid beta (Aβ), the hallmark of AD, exacerbates these processes by activating pro-inflammatory NF-κB, leading to chronic inflammation and metabolic defects. The risk of developing AD significantly increases with the loss of estradiol, during menopause and aging. E2, particularly its 17-beta form, has demonstrated neuroprotective properties in various cell types by regulating mitochondrial proteins, reducing oxidative stress, and decreasing inflammation. Our work performed using primary cortical neurons have shown that E2 can enhance mitochondrial function, regulate NF-κB DNA binding and activation, and also protect cells from Aβ-mediated neurotoxicity. This goal of this study is to investigate the neuroprotective effects of 17-beta estradiol (E2) against Aβ-mediated neuroinflammation and mitochondrial dysfunction, potentially opening new avenues for therapeutic interventions towards AD. METHOD: Primary cortical neurons from C57BL/6 mouse embryos were cultured under defined conditions and treated with 10µM Aβ to induce AD-like pathology. Additionally, 10nM E2 treatment was administered where mentioned. Protein expression was analyzed by western blotting. Cell viability, cell cytotoxicity, and inflammatory cytokines were assessed using MTT, LDH, and ELISA based assays using the manufacturers' instructions. Mitochondrial function was evaluated with SeahorseXF24 bioanalyzer. RESULT: Aβ treatment decreased pAMPK (master regulator of metabolism) and PGC-1α (master regulator of mitochondrial biogenesis) levels while activating pro-inflammatory NF-κB. Pretreatment with E2 effectively restored pAMPK and PGC-1α levels, and prevented the Aβ-induced decrease in mitochondrial function and ATP production. Additionally, E2 reduced pro-inflammatory NF-κB p65 DNA binding and inflammatory cytokine levels that had increased with Aβ treatment. LDH and MTT assays revealed that E2 attenuated Aβ-induced neurotoxicity, highlighting its protective effect against AD like pathology. CONCLUSION: Our findings so far demonstrate that E2 exerts significant neuroprotective effects against Aβ in primary cortical neurons. E2 effectively mitigates Aβ-mediated mitochondrial dysfunction, inflammation, and neurotoxicity by restoring key regulatory proteins, reducing inflammatory markers and, enhancing mitochondrial function. These findings suggest that E2 could potentially serve as a therapeutic agent against AD, addressing both mitochondrial dysfunction and neuroinflammation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.287
Teacher spread0.266 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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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