Is KIR4.1 Antibody a Marker of Multiple Sclerosis? (P4.130)
Bibliographic record
Abstract
Background Multiple sclerosis (MS) is the most frequent chronic inflammatory disease of the central nervous system. Although demyelinating lesions formations are likely related to immune reactions, the identification of a target auto-antigene remained so far largely uncertain. Recently, the ATP-sensitive inward rectifying potassium channel, KIR4.1, was identified as a target of auto-antibodies in 46% of MS patients (Srivastava et al. 2012). The aim of our study was to confirm these findings and to compare clinical characteristics of patients with and without anti-KIR4.1 antibody. Methods This prospective study included MS patients fulfilling 2010 McDonald criteria, patients with other neurologic diseases (OND) and bone marrow healthy donors as controls. The first step was to develop an enzyme-linked immunosorbent assay (ELISA) for anti-KIR4.1 antibody evaluation using KIR4.183-120 peptide, as previously described. The threshold positivity was defined as 2 standard deviations (SD) above mean optical density (OD) of the control group. Primate brain and cerebellum sections were used for indirect immunofluorescence analysis. Clinical data were collected independently. Results From October 2012 to April 2013, 268 MS patients (sex ratio: F/M: 2.5 ; mean age 45.7 years old (range: 19 to 80)), 46 patients with OND (sex ratio: F/M: 1.2 mean age 45.4 yo (range: 21 to 73)) and 45 healthy donors (sex ratio: F/M: 1.5 ; mean age 26 yo (range : 19 to 61)) were consecutively included. Anti-KIR4.1 autoantibodies have been found in 20 MS patients (7.5 %) versus 2 in patients with OND (4.3%), and 2 in the healthy donors (4.4%) (p=0.65, Chi2 test). Immunofluorescence testing did not find any specific staining. Discussion We confirm a presence of anti-KIR4.1 Ab in 7.5% of MS patients. However, the rate of anti-KIR4.1 Ab in MS appeared much lower in our study than previously described. Our results suggest that anti-KIR4.1 Ab is not a suitable biomarker for MS. Comparison between MS patients with or without KIR4.1 antibody will be showed at the meeting.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".