MétaCan
Menu
Back to cohort
Record W4407828658 · doi:10.3389/fnagi.2025.1533504

A simple and effective screening strategy for early multiple system atrophy diagnosis and α-Synuclein forms in erythrocytes

2025· article· en· W4407828658 on OpenAlexaboutno aff
Ying Jiang, Jianing Jin, Ying‐shan Piao, Yixuan Yin, Lian Tang, Yang Gao, Tao Feng, Zhan Wang

Bibliographic record

VenueFrontiers in Aging Neuroscience · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsAtrophySimple (philosophy)MedicineNeuroscienceComputer sciencePathologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Background: Urinary dysfunction is an early manifestation of autonomic dysfunction in Multiple System Atrophy (MSA) and often precedes orthostatic hypotension. This study investigated the diagnostic efficacy of post-void residual (PVR) urine volume in differentiating possible MSA from early-stage Parkinson's disease (PD) and sought to identify a feasible combination of autonomic nervous system indicators for clinical use. The distribution of α-Synuclein (α-Syn) forms in erythrocyte was preliminary explored. Methods: This study included 70 patients with MSA-P, 73 with MSA-C, and 71 with PD. All participants underwent assessments including bladder residual urine ultrasound, the supine-to-standing test (STS), external anal sphincter electromyography (EAS-EMG), brain MRI, Mini-Mental State Examination (MMSE), and Montreal Cognitive Assessment (MoCA). Receiver operating characteristic (ROC) curves determined the diagnostic value of PVR urine volume and other autonomic indicators for possible MSA. Immunofluorescence staining of α-Syn forms in red blood cells (RBCs) was also performed. Results: < 0.01), with similar differences observed between possible MSA-P/MSA-C and early-stage PD patients. ROC analysis showed that PVR urine volume had diagnostic value in differentiating possible MSA-P (AUC = 0.668, cut-off 24.5 mL) and MSA-C (AUC = 0.759, cut-off 47.5 mL) form early-stage PD patients. ΔSBP at 1 and 3 min also distinguished possible MSA-P (AUC = 0.702, 0.730) and MSA-C (AUC = 0.707, 0.718) from early-stage PD. Combining PVR urine volume and ΔSBP (at 1 and 3 min) further improved diagnostic accuracy, with an AUC of 0.817 (sensitivity 57.1%, specificity 96.8%) for possible MSA-P and an AUC of 0.794 (sensitivity 68.6%, specificity 87.1%) for MSA-C from early-stage PD. On a molecular level, oligo-α-Syn predominantly localized to RBC membrane fractions in MSA patients, while α-Syn pS129 was primarily detected in the RBC cytoplasm of PD patients. Conclusion: Combining PVR urine volume and ΔSBP (at 1 and 3 min) is an easily accessible and effective method for distinguishing possible MSA from early-stage PD. This combination should be considered for routine assessment in Parkinsonism. Distinct α-Syn forms distribution in erythrocytes could be considered as a useful biomarker for differential diagnosis.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.271
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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 routes1
Has abstractyes

Explore more

Same venueFrontiers in Aging NeuroscienceSame topicParkinson's Disease Mechanisms and TreatmentsFrench-language works237,207