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Updated: Jul 11, 2025

Phenotypic Characterization of Macrophages from Rat Kidney by Flow Cytometry
Published on: October 18, 2016
Identification of Fibrotic Biomarkers Associated with Macrophages in Diabetic Nephropathy
Rongrong Hou1, Lei Gao1, Junhong Long1
1Department of Endocrinology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Abstract:
BACKGROUND Diabetic nephropathy (DN) is the main cause of end-stage renal disease. Renal fibrosis is an important pathological feature of kidney injury, and the therapeutic means are very limited. The functions of macrophages play important roles in renal fibrosis. There is a complicated link between altered immune metabolism and oxidative stress. Hence, we designed this study to identify the oxidative stress- and macrophage-relevant biomarkers reflecting fibrosis in DN. MATERIAL AND METHODS Differential expression analysis was performed based on the GSE96804 dataset. xCell and weighted gene co-expression network analysis were used to determine the distinctions in infiltrating immune cells between DN and control specimens. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted. A protein-protein interaction network was constructed to identify the hub genes. Hub genes were validated in an external dataset, GSE30528, and cell models. RESULTS MMP2, CASP3, and HIF-1alpha were identified as biomarkers, which were upregulated in the DN group and positively correlated with the infiltration of macrophages and M1 macrophages. In vitro, the 3 genes were highly expressed in murine MPC5 cells treated with high glucose and human THP-1 macrophages treated with advanced glycation end products. CONCLUSIONS Our results provided biomarkers for predicting the fibrotic progression of DN and confirmed that MMP2, CAPS3, and HIF-1alpha have good diagnostic value. They might be involved in the progression of DN fibrosis by regulating oxidative stress and macrophage recruitment or polarization.
Insights
New biomarkers, MMP2, CASP3, and HIF-1alpha, are identified for predicting diabetic nephropathy (DN) fibrosis. These genes correlate with macrophage infiltration and may regulate oxidative stress in kidney injury.
Area of Science:
- Nephrology
- Immunology
- Biochemistry
Background:
- Diabetic nephropathy (DN) is a leading cause of end-stage renal disease.
- Renal fibrosis is a key pathological feature of DN with limited therapeutic options.
- Macrophage function and oxidative stress are implicated in DN pathogenesis.
Purpose of the Study:
- Identify oxidative stress- and macrophage-related biomarkers for DN fibrosis.
- Investigate the role of identified biomarkers in DN progression.
Main Methods:
- Differential gene expression analysis on the GSE96804 dataset.
- Immune cell infiltration analysis using xCell and WGCNA.
- Pathway enrichment analysis (GO, KEGG) and protein-protein interaction network construction.
- Validation in an external dataset (GSE30528) and in vitro cell models.
Main Results:
- MMP2, CASP3, and HIF-1alpha identified as upregulated biomarkers in DN.
- These biomarkers positively correlated with macrophage and M1 macrophage infiltration.
- High expression of these genes observed in high glucose-treated MPC5 cells and advanced glycation end product-treated THP-1 macrophages.
Conclusions:
- MMP2, CASP3, and HIF-1alpha serve as valuable biomarkers for predicting DN fibrotic progression.
- These genes demonstrate diagnostic potential for DN.
- They may contribute to DN fibrosis by modulating oxidative stress and macrophage dynamics.
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