Histopathologic Association of Lambda Light Chain Predominance in IgA Nephropathy
Bibliographic record
Abstract
Background: A relative predominance of lambda (λ) over kappa (κ) light chain deposition has long be recognized in IgA Nephropathy (IgAN), which is unlike any other glomerular disease. The reason for this predominance is unknown but may be related to a purported predominance of λ chain expression by gut associated lymphoid tissue B cells. There is limited information regarding the histopathologic findings, if any, associated with predominant λ light chain deposition. Utilizing the CureGN IgAN cohort, we evaluated if predominant λ chain deposition was associated with histologic markers of disease activity by examining MEST characteristics and other variables. Methods: We divided the CureGN IgAN cohort into two groups based on the intensity of light chain deposition by immunofluorescence. The λ dominant group (LD) was defined by a difference in intensity score of staining of λ minus κ ≥ 1+, and the λ-κ codominant group (KL) by a difference of λ minus κ < 1+. Fisher's exact test was used to compare the histopathologic changes between the groups with respect to M, E, S, T, scores, total crescents, percent (%) of globally sclerotic glomeruli, % of glomeruli with fibrinoid necrosis, degree of interstitial inflammation, and the intensity of IgG, C1q, and C3 staining. Results: Among 695 IgAN patients, the kidney biopsy digital images of 269 patients were reviewed by CureGN pathologists and 234 patients had reported λ and κ staining intensity. Of these, 96 (41%) patients were classified as LD (including 7 patients (3%) with λ monotypic staining) and 138 (59%) classified as KL. The two groups did not differ significantly in age, sex, or race. Compared to the KL group, the LD group had a greater frequency of endocapillary hypercellularity (E1, 51.1% vs 36.3%, p=0.04) and IgG staining intensity ≥ 1+ (37.3% vs 21.9% ; p=0.01). There were no significant differences between groups with respect to any other histologic finding. Conclusions: In IgAN, patients with predominantly λ mesangial deposition are more likely to have increased endocapillary hypercellularity and IgG deposition, two findings previously linked with greater histologic disease activity and possibly worse prognosis. Further studies are needed to elucidate if the predominance of λ chains represents a unique pathogenesis in a subset of patients, or if it imparts a more severe disease course. Funding: NIDDK Support
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.002 | 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".