Impaired Antibody Affinity Maturation Process Characterizes a Subset of Patients with Common Variable Immunodeficiency
Bibliographic record
Abstract
Common variable immunodeficiency (CVID) is an heterogeneous syndrome characterized by decreased levels of serum Ig and recurrent bacterial infection. Here, we were interested to study whether a qualitative defect of the affinity Ab maturation process could be combined to the low level of serum Ig in a cohort of 38 CVID patients. For this, we designed a novel and rapid screening test for the detection of hypomutated V gene expressed by memory B cells. This test delineated a subset of 9/38 (23%) CVID patients with an abnormal pattern of Ig V gene mutation. The mean frequency of V gene mutation of this subset was significantly lower (1.74%) compared with other CVID patients (5.46%) and normal donors (6.5%) (p<0.0001). The mean age of this subgroup was significantly higher than other hypogammaglobulinemic patients with normal levels of V gene mutation (p<0.02), whereas no difference in the duration of symptoms was noted between the two groups. This suggests that hypomutation characterizes patients who began CVID late in life. Recently, it was shown that non-Ig sequences, such as the intronic BCL-6 gene, could be the target of the somatic hypermutation process in normal memory B cells. Our finding of a normal mutation frequency of the BCL-6 gene in two hypomutated CVID point to a defect of the Ig targeting of hypermutation machinery in these cases.
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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 | 0.000 |
| 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) | 0.001 | 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".