Organic electrolyte gated field effect transistor for detecting alpha synuclein longitudinally in Parkinsonism mouse model
Bibliographic record
Abstract
Parkinson's Disease (PD) is an age-progressive disorder caused by misfolding of alpha-synuclein (α-Syn) that can begin years before clinical symptoms appear, making early diagnosis crucial for timely intervention. In this study, a novel antibody-functionalized Organic Electrolyte-Gated Field-Effect-Transistor (Ab-OEGFET) biosensor was implemented to detect α-Syn levels in blood serum samples from an A53T Transgenic (TG) mouse line. PD-like pathology was examined in blood serum using Ab-OEGFET devices and in brain tissue samples using Western Blot and immunohistochemistry. Different forms (monomeric, phosphorylated, oligomeric) of α-Syn were identified in low volumes of blood serum samples collected from TG and Wild Type (WT) populations of mice at ages 2, 5 and 8 months, and the biosensor response was correlated to Blot and immunohistochemistry results. The Ab-OEGFETs performance in this study is a promising result towards a minimally invasive blood biomarker-based multianalyte testing strategy for early screening of PD and similar neurodegenerative disease pathologies.
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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".