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SERUM NEUROFILAMENT LIGHT TO DISTINGUISH AND MONITOR ACTIVITY IN A COHORT OF NEUROPSYCHIATRIC SYSTEMIC LUPUS ERYTHEMATOSUS

2025· article· en· W4410513072 on OpenAlexvenueno aff
Jonathan Emerson, Ming‐Wei Lin, Sanjay Swaminathan

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCohortSystemic diseaseCohort studyImmunologyImmunopathologyInternal medicine

Abstract

fetched live from OpenAlex

PV044 / #345 Poster Topic: AS05 - CNS Lupus Background/Purpose Neuropsychiatric systemic lupus erythematosus (NPSLE) is a poorly recognized entity leading to diagnostic and therapeutic delays. This is likely due to heterogeneity of manifestations complicating recognition, and the lack of markers that portend neuropsychiatric activity, with conventional serology, neuroimaging studies and CSF analysis often yielding unremarkable results. Serum levels of neurofilament light (NfL), a neuronal cytoskeletal protein, have been associated with other neurological conditions, eg, multiple sclerosis, suggesting utility as a noninvasive biomarker in neuroinflammatory pathologies. Studies to date assessing its utility in SLE have been limited by heterogeneously defined study populations of NPSLE.[1] We present serum NfL concentrations in an NPSLE cohort, highlighting the need for more novel modalities for assessment of neuropsychiatric involvement by SLE. Methods Subjects: 83 patients (70 female, 13 male) under the Department of Immunology at Blacktown and Westmead Hospitals, Sydney, Australia. All fulfilled the European League Against Rheumatism / American College of Rheumatology (ACR) 2019 Classification Criteria for SLE and were recruited at various treatment time points between 2014-2024 (disease duration 0-41 years). Seven were reassessed at a second timepoint (range: 0.2-3 years) due to a change in clinical activity or treatment. NPSLE: Classification based on 1999 ACR nomenclature and case definitions for NPSLE and Italian Society of Rheumatology 2015 attribution model for neuropsychiatric manifestations to SLE.[2] Classified at onset of neuropsychiatric manifestations, independent of activity during study recruitment. Serum NfL: Performed using Single Molecular Array technology, units expressed as pg/mL. Normal values increase with age,[3] therefore age-adjusted reference ranges were not utilized, rather comparing mean differences MRI: The following considered abnormal – atrophy, cerebrovascular disease or infarction, multiple high signal changes in white matter, demyelinating lesions, myelitis. Statistical analysis: Mann-Whitney U test. P values less than 0.05 considered significant. Results Sixty-five patients with non-NP SLE (ages 18-81 years [mean ± SD: 42 ± 14 years]) and 18 NPSLE (ages 21-60 years [37 ± 13 years]) were included. Six NPSLE patients had active whereas 12 had inactive neuropsychiatric manifestations. Serum NfL levels trended 2.5 times higher in NPSLE than non-NP SLE cohorts (mean ± standard error of mean: 64.28 ± 25.63 pg/mL vs 24.03 ± 4.543 pg/mL; p = 0.41) (Figure 1). NfL levels trended higher in those with active than inactive NPSLE (103.7 ± 55.18 pg/mL vs 44.58 ± 26.91 pg/mL; p = 0.7) (Figure 2). There was a trend toward a younger age in both NPSLE than non-NP SLE cohorts and active than inactive NPSLE cohorts, suggesting that patient age did not contribute to the measured difference between groups. Abnormal MRIs were seen in 45% of patients with NPSLE and 24% non-NP SLE (p = 0.4). There were no differences in seropositivity for anti-dsDNA nor antiphospholipid antibodies, nor in hypocomplementemia between the NPSLE and non-NP SLE groups. Six patients with NPSLE and 1 with non-NP SLE were followed up, 3 of whom improved with treatment with corresponding reductions in serum NfL concentrations, 2 of whom who had persistent active disease due to inadequate treatment with an increasing serial NfL concentrations, and 1 of who developed new neuropsychiatric involvement with a corresponding rise in serum NfL concentration. Figure 1. Serum NfL levels in NPSLE and non-NP SLE (mean & SEM pg/mL). Figure 2. Serum NfL levels in NPSLE patients with active neuropsychiatric manifestations and those with inactive neuropsychiatric manifestations (mean & SEM pg/mL). Conclusions Serum NfL levels may be a useful method for diagnosing, monitoring and prognosticating patients with NPSLE. References: [1.] Emerson J. Front Neurol 2023;14:1111769. [2.] Bortoluzzi A. Rheumatology (Oxford) 2015;54(5):891-8. [3.] Khalil M. Nat Rev Neurol 2018;14(10):577-89.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.285
Teacher spread0.275 · 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".

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Citations0
Published2025
Admission routes1
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