Novel environmental toxins: Steryl glycosides as a potential etiological factor for age‐related neurodegenerative diseases
Bibliographic record
Abstract
Amyotrophic lateral sclerosis-parkinsonism dementia complex (ALS-PDC) is a unique neurodegenerative disease found on the island of Guam. This disease presents as a spectrum of neurological disorders characterized by features of ALS, parkinsonism, dementia, or a combination. The strongest epidemiological link has been to the consumption of the seeds from the cycad plant that purportedly contained a neurotoxin. Mice fed washed cycad flour show signs that mimic ALS-PDC, which include progressive deficits in motor, cognitive, and olfactory functions associated with neuron loss in the spinal cord, nigrostriatal system, cortex, hippocampus, and olfactory bulb. Through a series of chemical extractions of washed cycad flour, we identified steryl glycoside molecules as bioactive molecules that are neurotoxic in culture and in mice. A detailed review of this class of molecule revealed that the molecules are abundant in the environment, particularly in plants and bacteria. Lipid analysis showed that some bacteria that are associated with some forms of neurodegenerative disorders have the capacity to synthesize steryl glycosides. Furthermore, certain steryl glycosides have been found to be a cell stress mediator and may have some immunomodulary effects. We hypothesize that steryl glycosides are putative neurotoxins involved in the etiopathogenesis of several age-related neurodegenerative disorders.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".