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Record W4410715754 · doi:10.3899/jrheum.2025-0390.o050

NOVEL IgG AND IgA AUTOANTIBODIES IN TWO INDEPENDENT COHORTS ASSOCIATE WITH GLOBAL AND ORGAN-SPECIFIC DISEASE ACTIVITY IN SYSTEMIC LUPUS ERYTHEMATOSUS: IMPLICATIONS FOR ANTI-LIN28A AND ANTI-IRF5

2025· article· en· W4410715754 on OpenAlexvenueno aff
Julius Lindblom, Denis Lagutkin, Natalia Sherina, Helena Idborg, Lorenzo Beretta, María Orietta Borghi, Janique M Peyper, Guillermo Barturen, Per‐Johan Jakobsson, Marta E. Alarcón‐Riquelme, Dionysis Nikolopoulos, Ioannis Parodis

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAutoantibodyImmunologyDiseaseLupus erythematosusSystemic lupus erythematosusSystemic diseaseAntibodyAutoimmune diseaseConnective tissue diseaseImmunopathologyInternal medicine

Abstract

fetched live from OpenAlex

O050 / #258 Topic: AS20 - Precision Medicine ABSTRACT CONCURRENT SESSION 08: RECENT ADVANCES IN LUPUS BIOMARKERS 23-05-2025 1:40 PM - 2:40 PM Background/Purpose Autoantibodies are a hallmark of systemic lupus erythematosus (SLE), but among a multitude of autoantigen specificities, few are mapped and used in routine clinical practice. Autoantibodies currently used for surveillance, such as anti-dsDNA, show only modest associations with SLE disease activity. The aim of this study was to identify and validate novel autoantibodies that reflect global and organ-specific disease activity in systemic lupus erythematosus (SLE). Methods Serum samples were screened for IgG and IgA seroreactivity against 1609 protein autoantigens using an immunome microarray (Sengenics). We determined differentially abundant autoantibodies (daAAbs) in SLE patients vs healthy controls within a discovery (n=199 vs n=111) and an independent validation cohort (n=30 vs n=84) from the European PRECISESADS project (NTC02890121). Validated daAAbs were analyzed in relation to global and organ-specific disease activity using linear and logistic regression, along with daAAb target pathway enrichment analysis. Results We validated 89 IgG and 66 IgA daAAbs. IgG anti-LIN28A, IgG anti-HMGN5, and both isotypes for anti-IRF5 and anti-TGIF1 were associated with a SLE Disease Activity Index 2000 (SLEDAI-2K) score ≥10, negatively associated with Lupus Low Disease Activity State (LLDAS), and highly prevalent in patient subgroups with active disease across organ manifestations. IgG anti-LIN28A levels exceeded the cut-off for positivity in 53% of patients with CNS involvement, a prevalence higher than that observed for anti-dsDNA (20%), and 47% of patients with renal activity. A cluster of IgG and IgA daAAbs against RNA-binding proteins, including anti-LIN28A, was predominantly represented in patients with CNS activity. IgA anti-FOSL2 was associated with musculoskeletal activity. Enriched pathways related to DNA binding and repair exhibited considerable overlap across organ systems. Conclusions This study identified and validated novel IgG and IgA autoantibodies. Among those, IgG anti-LIN28A, IgG anti-HMGN5, and both isotypes for anti-IRF5 and anti-TGIF1 were associated with high disease activity and were highly prevalent in subgroups of patients with active disease across organ manifestations. IgG anti-LIN28A levels exceeded the cut-off for positivity in more than half of the patients with CNS involvement, a prevalence higher than that observed for the routine clinical marker anti-dsDNA, and almost half of the patients with renal activity. Additionally, IgG and IgA LIN28A formed autoantibody clusters predominantly represented in patients with CNS activity. The findings of IgA seroreactivity are novel and point to the importance of mucosal immunity in SLE, while the overall findings have direct implications for the early identification of patients with active or evolving disease, and for timely and informed therapeutic intervention.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.016
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.269
Teacher spread0.259 · 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 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
Has abstractyes

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