Longitudinal Dynamics of Plasma Neurofilament Light Chain in Hereditary Spastic Paraplegia Type 11 ( <scp>HSP</scp> ‐ <scp> <i>SPG11</i> </scp> ) and Type 15 ( <scp>HSP</scp> ‐ <scp> <i>ZFYVE26</i> </scp> )
Bibliographic record
Abstract
BACKGROUND: HSP-SPG11 and HSP-ZFYVE26 are autosomal-recessive forms of hereditary spastic paraplegias (HSPs). As therapeutic trials emerge, validated biomarkers are critically needed. OBJECTIVES: To evaluate plasma neurofilament light chain (pNfL) as a biomarker for neurodegeneration and disease progression. METHODS: We analyzed pNfL levels in 57 patients (36 HSP-SPG11, 21 HSP-ZFYVE26) and matched controls using single-molecule array technology. Longitudinal clinical and biomarker data were collected over 5 years. RESULTS: Baseline pNfL levels were significantly elevated in patients: 33.85 pg/mL (IQR 25.15-47.38) in HSP-SPG11, 46.70 pg/mL (IQR 29.95-54.84) in HSP-ZFYVE26, and 4.90 pg/mL (IQR 3.48-6.90) in controls (P < 0.001). No significant difference was observed between HSP-SPG11 and HSP-ZFYVE26. In matched pair analysis, pNfL showed inverse correlation with age (ρ = -0.463, P < 0.001). Baseline pNfL did not predict future clinical progression. CONCLUSIONS: Elevated pNfL reflects early neuroaxonal injury in HSP-SPG11 and HSP-ZFYVE26; however, it could not be used as a surrogate for disease progression. © 2025 International Parkinson and Movement Disorder Society.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".