# Relationship between complement and macrophage markers with kidney survival in patients with diabetic nephropathy

**Authors:** Ozcan Uzun, Cihan Heybeli, Fatma Sema Anar Kutlu, Manolya Celebioglu Pekiner, Filiz Yıldırım, Caner Cavdar, Sulen Sarioglu

PMC · DOI: 10.1007/s00592-025-02521-3 · Acta Diabetologica · 2025-05-08

## TL;DR

This study finds that higher numbers of CD68+ cells in the glomeruli of diabetic nephropathy patients are linked to faster kidney disease progression.

## Contribution

The study identifies glomerular CD68+ cell count as a novel independent predictor of diabetic nephropathy progression.

## Key findings

- Progressors had higher glomerular CD68+ cell counts compared to non-progressors.
- Glomerular CD68+ cell count was the sole independent predictor of kidney disease progression after adjusting for age, sex, and serum creatinine.

## Abstract

Diabetic nephropathy (DN) is the leading cause of end-stage kidney disease (ESKD) worldwide. Macrophages and the complement system have interrelated roles in DN. We aimed to determine associations between macrophage and complement markers with the progression of DN.

This retrospective cohort study included patients diagnosed with sole DN by kidney biopsy. Using immunohistochemistry, CD68+ and CD163+ cells and complement markers were counted in glomerular and tubulointerstitial areas. The primary outcome was evolution to ESKD and/or doubling serum creatinine (SCr).

Forty-six patients were included. The median SCr at baseline was 2.7 (1.41–3.1) mg/dL. During the median follow-up of 32 months (range 6–54), 50% of patients reached the primary outcome. Most of the clinical and histological findings were comparable between progressors and non-progressors, while progressors had a higher median number of glomerular CD68+ cells and a higher percentage of glomerulosclerosis. After adjustments for age, sex, and SCr, the median glomerular CD68+ cell number was the sole independent predictor of progression. Glomerular C4d was associated with nephrotic-range proteinuria but not with the progression of kidney failure.

Glomerular CD68+ cell count may serve as a promising predictor of kidney disease progression among patients with DN. Glomerular C4d was associated with nephrotic-range proteinuria but not with the progression of kidney failure.

∙ Many patients with diabetic nephropathy progress to renal failure and experience diabetic nephropathy-related mortality despite strict hemodynamic and metabolic control.∙ Targeting inflammation has been proposed as a new therapeutic approach for diabetic nephropathy.∙ Glomerular CD68+ cell count predicts the development of ESKD and/or doubling serum creatinine (SCr) in patients with diabetic nephropathy.

∙ Many patients with diabetic nephropathy progress to renal failure and experience diabetic nephropathy-related mortality despite strict hemodynamic and metabolic control.

∙ Targeting inflammation has been proposed as a new therapeutic approach for diabetic nephropathy.

∙ Glomerular CD68+ cell count predicts the development of ESKD and/or doubling serum creatinine (SCr) in patients with diabetic nephropathy.

## Linked entities

- **Proteins:** CD68 (CD68 molecule), CD163 (CD163 molecule)
- **Diseases:** diabetic nephropathy (MONDO:0005016), end-stage kidney disease (MONDO:0004375)

## Full-text entities

- **Genes:** CD163 (CD163 molecule) [NCBI Gene 9332] {aka M130, MM130, SCARI1}, CD68 (CD68 molecule) [NCBI Gene 968] {aka GP110, LAMP4, SCARD1}
- **Diseases:** kidney disease (MESH:D007674), nephrotic (MESH:D009404), DN (MESH:D003928), ESKD (MESH:D007676), proteinuria (MESH:D011507), kidney failure (MESH:D051437), glomerulosclerosis (MESH:D005921)
- **Chemicals:** creatinine (MESH:D003404)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12578723/full.md

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12578723/full.md

## References

2 references — full list in the complete paper: https://tomesphere.com/paper/PMC12578723/full.md

---
Source: https://tomesphere.com/paper/PMC12578723