Mannose-binding Lectin Expression Genotype in Pediatric-onset Systemic Lupus Erythematosus: Associations with Susceptibility to Renal Disease and Protection Against Infections
Bibliographic record
Abstract
OBJECTIVE: To study possible associations between extended mannose-binding lectin (MBL) expression genotypes and clinical manifestations and infections in children with systemic lupus erythematosus (SLE). METHODS: Clinical and laboratory variables for a cohort of 125 patients with pediatric-onset SLE were obtained by clinical examinations and chart reviews. Controls were 137 age-matched and sex-matched healthy children and adolescents. MBL gene polymorphisms were genotyped by polymerase chain reaction. Serum MBL concentrations were measured by ELISA. RESULTS: The frequencies of extended MBL expression genotypes did not differ between patients and controls. There were 82 patients with SLE who had high MBL expression genotypes and 43 who had medium and low MBL expression genotypes. Patients with the high MBL expression genotype had renal disorders more frequently than patients in the group with medium and low MBL expression genotypes [54/82 (65.9%) vs 18/43 (41.9%), respectively; p = 0.013] and fewer serious bacterial infections [22/82 (26.8%) vs 20/43 (46.5%); p = 0.030]. Using logistic regression for patients with SLE, a high MBL expression genotype was independently associated with renal disorders (OR 2.49, 95% CI 1.15-5.39, p = 0.021) and had a protective effect against serious bacterial infections (OR 0.29, 95% CI 0.12-0.71, p = 0.007). MBL levels decreased significantly when patients with active SLE reached an inactive stage (1.56 ± 0.55 μg/ml vs 1.08 ± 0.65 μg/ml; p = 0.001), but these levels were still higher than those in controls. CONCLUSION: Our findings suggest that a high MBL expression genotype is a risk factor for renal disorder, while it has a protective effect against infections. Serum MBL levels reflect SLE activity.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".