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1708 Preliminary data on the mapping of anti-mitochondrial antibodies in systemic lupus erythematosus

2021· article· en· W3214224247 on OpenAlexafffundabout
Yann Becker, Emmanuelle Rollet‐Labelle, Tania Lévesque, Joannie Leclerc, Anne‐Sophie Julien, Paul R. Fortin

Bibliographic record

VenueAbstracts · 2021
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversité Laval
FundersNational Institutes of HealthCanadian Institutes of Health ResearchU.S. Department of Veterans Affairs
KeywordsAutoantibodySystemic lupus erythematosusCohortInterquartile rangeCardiolipinMedicineImmunologyAntibodyLupus erythematosusInternal medicineBiologyDisease

Abstract

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Background In systemic lupus erythematosus (SLE), mitochondria and their inner components may be released into the extracellular space, potentially eliciting a pro-inflammatory response by the immune system. While cardiolipin was long known as a mitochondrial target of autoantibodies, we reported in previous case-control studies that autoantibodies to whole mitochondria (AwMA), mitochondrial DNA (AmtDNA) and mitochondrial RNA (AmtRNA) are also targeted by SLE autoantibodies. We aim to characterize levels of these autoantibodies throughout SLE disease progression. Methods Anti-mitochondrial antibodies (AMA, IgGs) targeting whole mitochondria (AwMA), mtDNA (AmtDNA) or mtRNA (AmtRNA) were measured by direct-ELISA, using sera from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort. Samples comprised healthy controls (n=127) and 3453 samples obtained from 816 SLE patients, between the diagnosis up to 7 years afterward. Institution of the SLICC cohort obtained approval from their local research ethic boards and written consent from every participant. Eligibility to the cohort, within 15 months of diagnosis, was conditional to the positivity to 4, or more, ACR criteria for the classification of SLE. AMA levels are expressed as the median optical density measured at 405 nm ± interquartile range. Differences in AMA levels between healthy donors and baseline SLE samples were assessed, using Mann-Whitney tests and Spearman tests were used to assess correlations between levels of the various AMA. Results Preliminary results indicate that, among the various subsets of IgGs targeting mitochondrial components, AwMA and AmtRNA but not AmtDNA were significantly increased in newly diagnosed SLE patients, in comparison with healthy individuals (respectively: p=0.004, p<0.0001, and p=0.1. figure 1). While AwMA levels remain constant for two years into the disease (Enrollment: 0.11±1.37), an increase is observed after the third year (year 3: 0.17±0.67). A similar effect is measured for AmtRNA levels (Enrollment: 0.21±2.46. Year 3: 0.36±1.81). AwMA levels are correlated to those of AmtDNA and AmtRNA (p<0.0001. Respectively rs=0.32 and rs=0.38) and levels of both anti-mitochondrial nucleic acids displayed stronger correlations (p<0.0001; rs=0.55). Conclusions Levels of circulating autoantibodies to whole mitochondria and mtRNA at baseline allow discriminating between healthy individuals and SLE patients. While levels of AMA appear to be fluctuating throughout the disease, further biostatistical analyses will be performed to assess associations between AMA and clinical manifestations and outcomes of the disease. These data will allow to appreciate the quality of AMA as biomarkers in the prediction of clinical outcomes, damages, or the clustering of patients in SLE. Acknowledgments Dr. Paul R. Fortin’s (PRF) work is supported by a Canada Research Chair. This study was supported by Canadian Institutes of Health Research (CIHR) grants to PF and Dr. Éric Boilard (EB). Yann LC Becker and EB are recipients of awards from the Fond de Recherche en Santé du Québec (FRSQ).

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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)0.003
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.064
GPT teacher head0.317
Teacher spread0.253 · 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
Published2021
Admission routes3
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