Neuroprotective effects of SGLT2 inhibitors empagliflozin and dapagliflozin on Aβ <sub>1–42</sub> -induced neurotoxicity and neuroinflammation in cellular models of Alzheimer's disease
Bibliographic record
Abstract
Background Alzheimer's disease (AD) is a chronic brain degenerative disease that leads to dementia. Objective The aim of the present study is to investigate the neuroprotective impact of sodium-glucose cotransporter-2 inhibitors (SGLT2i) (empagliflozin and dapagliflozin) on tau phosphorylation, oxidative stress, and neuroinflammation. Methods We used MTT (3-(4, 5-dimethylthiazolyl-2)-2, 5-diphenyltetrazolium bromide) assay, annexin-V-FITC kit, and DCFH-DA (dichloro-dihydro-fluorescein diacetate) to respectively evaluate the effect of the SGLT2i (empagliflozin and dapagliflozin) on amyloid-β (Aβ) 1–42 -induced neuronal death, apoptosis, and oxidative stress. The expression of NLRP3-inflammasome, phospho-Tau181, glycogen synthase kinase-3 beta (GSK-3β), cyclin-dependent kinase 5 (CdK5), and histone deacetylase 6 (HDAC6), was quantified by flow cytometry. Drug distribution in the mice's brains was assessed by liquid chromatography-mass spectrometry (LC-MS). Results Aβ 1–42 significantly reduced cell viability and increased apoptosis, which was reversed by using gliflozins. SGLT2i significantly reduced Aβ 1–42 -induced reactive oxygen species generation, downregulated NLRP3-inflammasome, and diminished tau pathology. Mechanistically, the last effect involved the modulation of GSK-3β and CdK5 protein expression. However, the tested treatments did not modify the Aβ 1–42 -stimulating effect of HDAC6. Gliflozins are substrates of drug transporters ATP-binding cassette sub-family B member 1 and/or ATP binding cassette subfamily G member 2 (ABCB1 and ABCG2), and Elacridar significantly enhances their brain distribution. Conclusions SGLT2i empagliflozin and dapagliflozin exhibited neuroprotective actions against human Aβ 1–42 -induced neurotoxicity.
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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) | 0.000 | 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".