Pilot study of anti-mitochondrial antibodies in antiphospholipid syndrome
Bibliographic record
Abstract
Background Mitochondria are intracellular organelles of bacterial origin capable of stimulating the immune system when released into the extracellular milieu. We previously reported the expression of anti-mitochondrial antibodies (AMA) targeting whole organelles (AwMA), mitochondrial DNA (AmtDNA) or mitochondrial RNA (AmtRNA) in patients with systemic lupus erythematosus (SLE). Antiphospholipid syndrome (APS) is an autoimmune condition that may be independent of, or associated with, other diseases, usually SLE. This study aimed to detect AMA in patients with APS and to explore the association with clinical features of APS. Methods AwMA-, AmtDNA- and AmtRNA-IgG and -IgM were detected in a pilot study (healthy controls n = 30 and APS patients n = 24) by direct ELISA, and their levels were associated with demographic and disease characteristics. Results AmtDNA-IgM and AmtRNA-IgG and IgM were elevated in APS compared to healthy controls ( p = 0.009, p = 0.0005 and p = 0.01, respectively). AwMA-IgG were increased in patients positive for lupus anticoagulant (median ± interquartile range = 0.36 ± 0.31 vs. 0.14 ± 0.08, p = 0.008), and optical density values for AwMA-IgM were correlated with titres of IgM against cardiolipin ( r s = 0.51, p = 0.01). An increment of 0.1 unit of AmtDNA-IgM levels was associated with reduced prior reporting of arterial events (odds ratio = 0.86; 95% confidence interval 0.74–1.00; p = 0.047). Conclusion Our pilot study suggests that AMA are represented within the autoantibody repertoire in APS and may display different associations with the clinical manifestations of the disease. Further studies should focus on reproducing these preliminary results by following AMA levels through time in larger prospective cohorts.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".