ANTI-HISTONE ANTIBODIES CLINICAL SIGNIFICANCE IN PATIENTS WITH SYSTEMIC LUPUS: A MOROCCAN COHORT OF 80 PATIENTS
Bibliographic record
Abstract
PV198 / #384 Poster Topic: AS23 - SLE-Diagnosis, Manifestations, & Outcomes Background/Purpose Systemic lupus erythematosus (SLE) is a complex and heterogeneous autoimmune disease, presenting a number of significant challenges in both its understanding and management. While classic antibodies have been the focus, anti-histone antibodies are crucial markers warranting further exploration. The aim of our study was to examine a wide range of clinical and biological features and analyze their correlation with this antibody, providing valuable insights into the complexities of this multifaceted condition. Methods In this case-control study, carried out in the internal medicine department of the Cheikh Khalifa International University Hospital in Casablanca between January 2017 and July 2024, 80 patients with SLE were included, of which 30 were positive for anti-histone antibodies (37.5%) and 50 were negative (62.5%), along with 2 patients with induced lupus. Ethics committee approval was obtained. Results The mean age of our patients was 38,5 years (± 15,2). A female predominance was observed at 90% (female-to-male ratio of 9 :1). By analyzing the 2 groups, positive and negative for the antibody, we highlighted significant differences in clinical presentation and biological profiles. Anti-histone antibodies correlated with fever(p-value=0,018), weight loss(p-value=0,019), renal markers such as hematuria (p-value=0,003) and proteinuria (p-value=0,002) and the development of lupus nephropathy (p-value=0,003). Hematologically, their positivity correlated with anemia(p-value=0,0002) and lymphopenia(p-value=0,024). A more pronounced inflammatory profile and increased disease activity were observed among the positive patients. The SLEDAI (Systemic Lupus Erythematosus Disease Activity Index) score was significantly higher in the group positive for anti-histone antibodies(p-value=0,0001). Additionally, there was a strong association between anti-histone and anti-nucleosome antibodies (p-value<0,00001). Lupus patients with anti-histone antibodies would also be significantly more likely to have anti u1-snRNP(p-value=0,0005), anti-ribosomal protein P (p-value=0,049) and anti DSF70 antibodies(p-value<0,0001). Among the 2 reported cases of induced lupus, 1 was linked to anti-TNF alpha treatment and was negative for anti-histone antibodies, while the other was associated with an adenovirus vaccine for COVID-19 and tested positive for these antibodies. Conclusions These data highlight the essential role of measuring these autoantibodies in SLE and drug-induced lupus. These antibodies could be a valuable asset as a diagnostic tool and a marker of disease activity, helping to enhance follow-up and management. Their detection, along with anti-nucleosome and anti-DNA antibodies, reinforces the importance of triple positivity as a predictor of the severity of renal damage. Considering the tuberculosis-endemic situation in our country, isoniazid-induced lupus might be underdiagnosed among the Moroccan population, and assessing anti-histone antibodies could provide additional value for clinicians.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 0.000 |
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.
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".