Infiltrative classical monocyte-derived and SPP1 lipid-associated macrophages mediate inflammation and fibrosis in ANCA-associated glomerulonephritis
Bibliographic record
Abstract
BACKGROUND: Kidney macrophage infiltration is a histological hallmark of vasculitic lesions and is strongly linked to disease activity in anti-neutrophil cytoplasmic antibodies (ANCA)-associated glomerulonephritis (AGN). The precise mechanisms by which kidney macrophages influence local inflammation and long-term damage remain largely unknown. METHODS: Here, we investigate kidney macrophage diversity using single-cell transcriptome analysis of 25 485 freshly retrieved unfrozen, high-quality kidney CD45+ immune cells from five AGN patients during active disease, a lupus nephritis and a nephrectomy control. Detailed subclustering of myeloid cells was performed to identify disease-specific macrophage subtypes. Next, transcriptome differences between macrophage subsets and disease serotypes were assessed. Findings were validated by immunostainings of an extended cohort of kidney biopsies and flow cytometric analysis of peripheral blood monocytes. RESULTS: Four main macrophage subsets were identified, including a classical monocyte-derived macrophage (MDM) subset expressing a chemotactic (CXCL2, CXCL3, CXCL8, CCL3) and pro-inflammatory (IL1β, TNF) set of markers and an osteopontin/SPP1+ lipid-associated macrophage (SPP1 LAMs) subtype exhibiting distinctive upregulation of fibrotic genesets. AGN samples revealed a markedly increased proportion of CD163+ macrophages, predominantly composed of classical MDMs, accompanied by resident-like C1Q macrophages, and SPP1 LAMs. An analogous trend was observed in the expansion of peripheral blood classical monocytes during active disease. The proteinase 3 (PR3)-AGN subtype exhibited heightened classical MDM and SPP1 LAM infiltration and markers of acute inflammation, while interferon signaling and markers of chronicity were reduced compared with myeloperoxidase-AGN. CONCLUSIONS: Our findings highlight the expression of inflammatory and fibrotic genes by kidney macrophage subsets in AGN. Classical monocyte dysregulation might contribute to inflammation in the pathogenesis of AGN. Targeting these specific monocyte/macrophage subsets may potentially control the inflammatory cascade and attenuate resulting fibrosis in AGN and kidney disease in general.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".