Targeting of Monomer/Misfolded SOD1 as a Therapeutic Strategy for Amyotrophic Lateral Sclerosis
Bibliographic record
Abstract
There is increasing evidence that toxicity of mutant superoxide dismutase-1 (SOD1) in amyotrophic lateral sclerosis (ALS) is linked to its propensity to misfold and to aggregate. Immunotargeting of differently folded states of SOD1 has provided therapeutic benefit in mutant SOD1 transgenic mice. The specific region(s) of the SOD1 protein to which these immunization approaches target are, however, unknown. In contrast, we have previously shown, using a specific antibody [SOD1 exposed dimer interface (SEDI) antibody], that the dimer interface of SOD1 is abnormally exposed both in mutant SOD1 transgenic mice and in familial ALS cases associated with mutations in the SOD1 gene (fALS1). Here, we show the beneficial effects of an active immunization strategy using the SEDI antigenic peptide displayed on a branched peptide dendrimer to target monomer/misfolded in SOD1(G37R) and SOD1(G93A) mutant SOD1 transgenic mice. Immunization delayed disease onset and extended disease duration, with survival times increased by an average of 40 d in SOD1(G37R) mice. Importantly, this immunization strategy favored a Th2 immune response, thereby precluding deleterious neuroinflammatory effects. Furthermore, the beneficial effects of immunization correlated with a reduction in accumulation of both monomer/misfolded and oligomeric SOD1 species in the spinal cord, the intended targets of the immunization strategy. Our results support that SOD1 misfolding/aggregation plays a central role in SOD1-linked ALS pathogenesis and identifies monomeric/misfolded SOD1 as a therapeutic target for SOD1-related ALS.
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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 | 0.001 |
| 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".