ArticleFrontiers in medicine2024
Single-cell transcriptome analysis reveals status changes of immune cells in chronic kidney disease.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Proteomic Mendelian randomization and machine learning reveal causal plasma biomarkers in cardiorenal comorbidity.Renal failure · 2026Article
- A cross-model single-cell atlas reveals conserved involvement of osteopontin in polycystic kidney disease.JCI insight · 2026Article
- Renal Tubular Epithelial Cells as Central Hubs of Kidney Disease.Diagnostics (Basel, Switzerland) · 2026Review
- Validation and Evaluation of SPP1 as a Candidate Biomarker for Disease Monitoring in Focal Segmental Glomerulosclerosis.International journal of nephrology and renovascular disease · 2026Article
- Macrophage Plasticity and Regulatory Networks During the Transition from Inflammation to Fibrosis in the Kidney.Life (Basel, Switzerland) · 2025Review
- Kidney diseases and single-cell sequencing research: a bibliometric analysis from 2015 to 2024.Renal failure · 2025Review
- A data-driven method for surgeon-specific difficulty assessment in third molar extraction.Frontiers in medicine · 2025Article
- Immunological mechanisms underlying fibrotic diseases via single-cell technologies.Frontiers in immunology · 2025Review
- Immune-mediated renal injury in diabetic kidney disease: from mechanisms to therapy.Frontiers in immunology · 2025Review
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Authors and funding
7 authors.
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Abstract
Background and aims: The immune system plays a crucial role in the development of kidney diseases. Chronic kidney disease (CKD) can lead to various complications, potentially affecting multiple systems throughout the body. Currently, the description of the immune system in human CKD is not comprehensive enough. Constructing a CKD kidney atlas using single-cell RNA sequencing (scRNA-seq) can provide deeper insights into the composition and functional changes of immune cells in CKD, facilitating the discovery of new therapeutic targets. Methods: We processed and integrated scRNA-seq datasets from healthy and CKD kidneys from three independent cohorts using the same approach (including 42 normal samples and 23 chronic kidney disease samples). Subsequently, we conducted gene enrichment and intercellular communication analysis to construct an immune cell atlas of the kidneys in CKD patients. Results: We identified nine major kidney cell clusters. Further clustering analysis of different immune cell clusters revealed that, compared to normal kidneys, CKD patients' kidneys had decreased CD16+ NK cells while CD4+ naive helper T cells and CCR7+ DC increased. Partial activation of the WNT signaling pathway was observed in T cells and NK cells of CKD patients, while some metabolism-related genes were inhibited. Myeloid cell subgroups also exhibited abnormal signaling pathway alterations. Additionally, we discovered a unique population of SPP1 macrophages in CKD, which are recruited by chemokines released from aPT and aTAL cell subpopulations. These SPP1 macrophages may promote cellular fibrosis through the signaling of SPP1, FN1, and various receptors. Conclusion: We established a human CKD kidney immune cell atlas and identified SPP1 macrophages as a unique cell type in CKD. The interaction between SPP1 macrophages and damaged cells may serve as a potential therapeutic target for treating CKD in the future.
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