Molecular characterization of proliferative lupus nephritis
Bibliographic record
Abstract
The molecular events occurring within the kidney at diagnosis of lupus nephritis (LN) are incompletely understood. Despite use of intense immunosuppression, response rates are disappointingly low. We postulate that characterizing these events will lead to biomarker discovery and guide therapeutics. As proof of concept we evaluated the molecular pathology of LN kidney biopsies in a Latino cohort. We studied 19 pairs of proliferative LN biopsies and four normal control biopsies using Nanostring RNA technology. All patients had at least two biopsies with the first at LN flare and the second after a median follow-up of 8 months. Based on clinical parameters, five patients achieved complete remission (CR), 10 partial remission (PR) and four had no response (NR) by the time of repeat biopsy. A panel of 511 immune-response genes was analyzed for each biopsy. Data were log 2 transformed and quartile normalization was used to normalize data across samples. A linear model was used to compare the four groups (normal/CR/PR/NR) at baseline and a paired t test was used to compare baseline expression data at baseline and follow-up for each patient. Transcripts were considered to be differentially expressed if they differed by at least twofold and if P < 0.01. At flare, three transcripts were uniquely expressed in CR, seven transcripts in PR, and 20 transcripts in NR when compared with normal. When compared with NR flares, CR flares showed increased MME, FADD, and CD274 and decreased ITGB2 and C1S expression. Change in transcript expression from initial to repeat biopsy was compared within each group and between groups. From biopsy 1 to biopsy 2, the CR group showed increased NCAM1 and decreased ILRL1 and FKBP5 expression. The NR group showed increased IL1RAP and CD5 and decreased C7, IL28B, and IL12RB1 expression. When compared with the CR group, the NR group showed increased IL17a, NOS2, FCAR and IL1RAP and decreased NCAM1, C7, and IL28B expression. NR flares had significant activation of T-cell and B-cell receptor signaling, IL-10, STAT3, and TNF-R pathways when compared with CR flares. Compared with NR flares, CR flares showed significant activation of T-cell regulation, antigen presentation, and apoptotic pathways. The results of this study suggest that the molecular characteristics of responders are different than nonresponders. These data imply that molecular analysis of LN biopsies may provide prognostic information and guide choice of therapy.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".