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Record W4415983645 · doi:10.1038/s44328-025-00057-8

Organic electrolyte gated field effect transistor for detecting alpha synuclein longitudinally in Parkinsonism mouse model

2025· article· en· W4415983645 on OpenAlexafffund
S. Johri, Dennis Chan, Roslyn S. Massey, Daniel Knight, Maria C. DeRosa, Matthew R. Holahan, Ravi Prakash

Bibliographic record

Venuenpj Biosensing · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWestern blotAlpha-synucleinParkinsonismBiosensorGenetically modified mouseParkinson's diseaseImmunohistochemistry

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.269
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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