15.09 Inherited peripheral neuropathies: analysis of PDXK gene identifies a new treatable disorder
Bibliographic record
Abstract
Polyneuropathies are amongst the most common neurological conditions worldwide affecting over 20 million people. However, 40% of patients with primary polyneuropathies have no disease-causing mutation identified. We investigated patients with gene-negative primary polyneuropathies using a combination of whole genome sequencing, homozygosity mapping and segregation analysis. Pathogenicity was confirmed via enzymatic assays and mass spectroscopy on recombinant protein and patient-derived fibroblasts, plasma and erythrocytes. We used circular dichroism to show secondary structure changes and isothermal titration calorimetry to investigate the ATP binding. We report that biallelic mutations in human PDXK are associated with primary axonal polyneuropathy and optic atrophy. Pyridoxal kinase (PDXK) is involved in converting vitamin B6 to its active form, pyridoxal 5’-phosphate (PLP). We show that PDXK mutations lead to disease via decreased plasma PLP concentrations. Our functional studies revealed conformational rearrangement in the mutant enzyme around the kinase ATP-binding pocket with impaired PDXK ability to bind ATP and leading to reduced erythrocyte PDXK activity. We show that both the human clinical picture and biochemical profile in PDXK mutations are rescued by PLP supplementation. Patients regained their ability to walk independently. Furthermore, treatment-led normalisation of plasma PLP levels, correlated with reduction of neurofilament light chain concentrations, a biomarker of axonal breakdown. In conclusion, biallelic mutations in human PDXK are associated with a novel disorder leading to treatable primary axonal polyneuropathy and optic atrophy and identifies PLP as therapeutic target.
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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) | 0.008 | 0.001 |
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.
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".