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Record W4414741342 · doi:10.1093/clinchem/hvaf086.574

B-181 Second-tier newborn screening for X-linked adrenoleukodystrophy: development, validation, and clinical application of an LC-MS/ MS method for the quantification of lysophosphatidylcholines

2025· article· en· W4414741342 on OpenAlexaffabout
Kandeepan Karthigesu, Nathan Mclntosh, Matthew Henderson, Murray Potter

Bibliographic record

VenueClinical Chemistry · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsNewborn Screening OntarioChildren's Hospital of Eastern OntarioMcMaster University
Fundersnot available
KeywordsNewborn screeningAdrenoleukodystrophyTandem mass spectrometryAnalyteElectrospray ionizationMass spectrometryHigh-performance liquid chromatography

Abstract

fetched live from OpenAlex

Abstract Background Newborn screening (NBS) is a population-based healthcare initiative designed to detect selected disorders that would benefit from early intervention. Newborn Screening Ontario (NSO), Canada, will be adding X-linked adrenoleukodystrophy as an NBS target in 2025. The disorder manifests in several forms, with childhood cerebral ALD (CCALD) being the most severe and the target of NBS. CCALD presents with adrenal insufficiency and aggressive inflammatory demyelination in the brain, leading to rapid cognitive and neurological deterioration. Treatment is by bone marrow transplantation. Lysophosphatidylcholine containing a saturated 26-carbon fatty acid (C26:0-LPC) measured by flow-injection analysis tandem mass spectrometry (MS/MS) is used as a first-tier test, with a more specific C26:0-LPC assay by liquid chromatography (LC) MS/MS being used as a second-tier test. Here, we report the clinical validation of a LPC LC-MS/MS assay measuring C26:0-LPC, C24:0-LPC, C22:0-LPC, and C20:0-LPC to be implemented as a second-tier test for CCALD screening in Ontario. Methods Various mobile phases and gradients were evaluated to optimize the chromatographic peak separation. Analysis was conducted using a Waters Xevo-TQS micro MS/MS instrument coupled to a Waters ACQUITY H class plus UPLCTM binary solvent LC system. An ACQUITY Premier BEH C8 VanGuard FIT Column, 1.7 µm, 2.1 mm x 50 mm, with a matching 5 mm guard column was employed. Analytes and stable isotope internal standards were monitored in positive electrospray ionization (ESI+) mode by multiple reaction monitoring (MRM), using the same quantification or qualification product ions for all species (M/Z 104.1 and 184.1, respectively) with the following precursor ions: 636.5 (C26:0-LPC), 608.5 (C24:0- LPC), 580.4 (C22:0-LPC), 552.4 (C20:0-LPC), 642.5 (C26:0-13C6-LPC), 614.5 (C24:0-13C6-LPC), 586.4 (C22:0-13C6-LPC), and 556.4 (C20:0-d4-LPC). Dried blood spot (DBS) samples used as calibrators and quality controls and blank filter paper spots used as blanks during the validation process were sourced in-house and from the Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA. Results Sample elution of DBS shaking with 100% methanol showed good recovery. The mobile phases A1 and B1 comprising water/acetonitrile (50/50, v/v) and methanol/acetonitrile (50/50, v/v), respectively, with 5 mM ammonium acetate, at a flow rate of 0.4 mL/min showed the best chromatographic separation (Figure 1). MS parameters were optimized, including cone voltage of 26 V, collision energy of 30 V, and capillary voltage of 4.25 kV. Method validation demonstrated good linearity ranging from 0.1 to 8.0 uM with R-squared value greater than 0.99. The limit of detection for C26:0 LPC was 0.007 uM. The between-day precision of C26:0 LPC was 0.5%. All analytes in DBS remained stable at -80, -20, 4, 25 and 45 degrees Celsius for up to 5 days. Conclusion We developed and validated an LC-MS/MS method for quantitation of C20:0, C22:0, C24:0 and C26:0 LPCs for CCALD second-tier NBS testing, with implementation anticipated in 2025.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.239
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.043
GPT teacher head0.394
Teacher spread0.350 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes2
Has abstractyes

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