Genetic and pharmacologic enhancement of SUMO2 conjugation prevents and reverses cognitive impairment and synaptotoxicity in a preclinical model of Alzheimer's disease
Bibliographic record
Abstract
INTRODUCTION: Amyloid beta oligomers (Aβos) are toxic to synapses and key to the progression of Alzheimer's disease (AD) and amyloid pathology, representing a target for therapeutic strategies. METHODS: Amyloid and small ubiquitin modifier 2 (SUMO2) transgenics were analyzed by electrophysiology and behavioral testing. A recombinant analogue of SUMO2, SBT02, was generated and assessed for brain penetration and the ability to mitigate amyloid pathology. RESULTS: Elevated SUMO2 expression prevents cognitive and synaptic impairment in a mouse model of AD amyloid pathology. Systemic administration of SBT02 resulted in high brain bioavailability and prophylactically halted the progression of AD-associated deficits. SBT02 also restored cognition and synaptic function in late-stage amyloid load. Mechanistically, SUMO2 and SBT02 do not alter amyloid processing or clearance and mitigate synaptotoxicity in the presence of high amyloid loads. DISCUSSION: SBT02 is a promising therapeutic strategy to counteract and reverse the toxic effects of Aβos in AD. HIGHLIGHTS: Genetic overexpression of human SUMO2 prevents the long-term potentiation (LTP) impairments and cognitive deficits in amyloid precursor protein (APP) transgenics without affecting amyloid pathology. A recombinant analogue of human SUMO2, termed SBT02, when administered systemically, displays high brain bioavailability and has no adverse effects at high doses. Prophylactic treatment of APP transgenics with SBT02 prior to the development of amyloid pathology results in the prevention of synaptic and behavioral dysfunction. SBT02 also reverses pre-existing LTP and cognitive impairments when administered to APP transgenics with advanced and severe pathology. SBT02 has no impact on amyloid pathology, indicating a mechanism of action on synaptic resistance to Aβ toxicity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".