Plant Hormone Cytokinin as Aggregation Modulator of Gelsolin Amyloidosis
Bibliographic record
Abstract
ABSTRACT Amyloidosis, a self‐assembly of proteins or peptides, is associated with numerous degenerative diseases, such as gelsolin amyloidosis, which remain without a cure. Gelsolin protein is an actin‐binding protein, but when aggregated in a diseased state, it is a potential drug target. Specifically, gelsolin mutations, N184K and D187Y, have been linked to renal amyloidosis and systemic progressive deposition of amyloids, respectively. Understanding how such mutations mitigate gelsolin aggregation and how this process can be prevented through small molecule inhibitors is of interest. Herein, we explored the efficacies of plant‐based naturally occurring cytokinin (CK) molecules as aggregation modulators in vitro. Using various biophysical methods, such as spectroscopy and microscopy, the aggregation of wild‐type gelsolin peptide 184NNGDCFILDL193 and its mutants (N184K, D187Y) was investigated. The mutations significantly promoted aggregation, which is of biological significance. The CK trans ‐zeatin (tZ) was a more effective disaggregation promoter compared with kinetin (Kin). The experimentally determined IC 50 values were in the 9–20 μM range. The mode of inhibition was identified as direct non‐covalent complexation between the CK and the peptides by using mass spectrometry and molecular docking studies. Data show that CKs are promising amyloid modulators, which can be easily translatable to other amyloid systems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 | 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 teacher head, 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".