Evidence map›Paper›PMID 39691368›Full record

ArticleFrontiers in medicine2024

Single-cell transcriptome analysis reveals status changes of immune cells in chronic kidney disease.

Xinhuan Fan, Yuxin Zhu, Hao Kan, Aiqin Mao, Li Geng, Changzhu Li, Ka Zhang

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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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9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xinhuan Fan *Department of Urology, Lu'an Hospital of Anhui Medical University, Lu'an, China.
Yuxin Zhu *Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Hao KanWuxi School of Medicine, Jiangnan University, Wuxi, China.
Aiqin MaoWuxi School of Medicine, Jiangnan University, Wuxi, China.
Li GengWuxi School of Medicine, Jiangnan University, Wuxi, China.
Changzhu LiWuxi School of Medicine, Jiangnan University, Wuxi, China.
Ka ZhangWuxi School of Medicine, Jiangnan University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CKDhuman kidneyimmune cellscRNA-seqSPP1 macrophages

Identifiers

PMID39691368
PMCPMC11649435

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.