• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

单细胞转录组分析揭示慢性肾病中免疫细胞的状态变化。

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

作者信息

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

机构信息

Department of Urology, Lu'an Hospital of Anhui Medical University, Lu'an, China.

Wuxi School of Medicine, Jiangnan University, Wuxi, China.

出版信息

Front Med (Lausanne). 2024 Dec 3;11:1434535. doi: 10.3389/fmed.2024.1434535. eCollection 2024.

DOI:10.3389/fmed.2024.1434535
PMID:39691368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11649435/
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.

摘要

背景与目的

免疫系统在肾脏疾病的发展中起着至关重要的作用。慢性肾脏病(CKD)可导致各种并发症,可能影响全身多个系统。目前,对人类CKD中免疫系统的描述还不够全面。使用单细胞RNA测序(scRNA-seq)构建CKD肾脏图谱可以更深入地了解CKD中免疫细胞的组成和功能变化,有助于发现新的治疗靶点。

方法

我们使用相同的方法(包括42个正常样本和23个慢性肾脏病样本)处理并整合了来自三个独立队列的健康和CKD肾脏的scRNA-seq数据集。随后,我们进行了基因富集和细胞间通讯分析,以构建CKD患者肾脏的免疫细胞图谱。

结果

我们鉴定出九个主要的肾脏细胞簇。对不同免疫细胞簇的进一步聚类分析表明,与正常肾脏相比,CKD患者的肾脏中CD16+自然杀伤细胞减少,而CD4+初始辅助性T细胞和CCR7+树突状细胞增加。在CKD患者的T细胞和自然杀伤细胞中观察到WNT信号通路的部分激活,而一些与代谢相关的基因受到抑制。髓样细胞亚群也表现出异常的信号通路改变。此外,我们在CKD中发现了一种独特的SPP1巨噬细胞群体,它们由aPT和aTAL细胞亚群释放的趋化因子招募。这些SPP1巨噬细胞可能通过SPP1、FN1和各种受体的信号传导促进细胞纤维化。

结论

我们建立了人类CKD肾脏免疫细胞图谱,并将SPP1巨噬细胞鉴定为CKD中一种独特的细胞类型。SPP1巨噬细胞与受损细胞之间的相互作用可能成为未来治疗CKD的潜在治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/fa0d20080c33/fmed-11-1434535-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/4aeec0a4f22a/fmed-11-1434535-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/90e8fa167b4d/fmed-11-1434535-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/72f3a8204a4f/fmed-11-1434535-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/76dcdccae503/fmed-11-1434535-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/2b476e2c1b19/fmed-11-1434535-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/fa0d20080c33/fmed-11-1434535-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/4aeec0a4f22a/fmed-11-1434535-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/90e8fa167b4d/fmed-11-1434535-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/72f3a8204a4f/fmed-11-1434535-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/76dcdccae503/fmed-11-1434535-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/2b476e2c1b19/fmed-11-1434535-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05fb/11649435/fa0d20080c33/fmed-11-1434535-g006.jpg

相似文献

1
Single-cell transcriptome analysis reveals status changes of immune cells in chronic kidney disease.单细胞转录组分析揭示慢性肾病中免疫细胞的状态变化。
Front Med (Lausanne). 2024 Dec 3;11:1434535. doi: 10.3389/fmed.2024.1434535. eCollection 2024.
2
Multiomics Analysis Reveals Therapeutic Targets for Chronic Kidney Disease With Sarcopenia.多组学分析揭示了伴有肌肉减少症的慢性肾脏病的治疗靶点。
J Cachexia Sarcopenia Muscle. 2025 Feb;16(1):e13696. doi: 10.1002/jcsm.13696.
3
Single-cell multi-omics analysis identifies SPP1 macrophages as key drivers of ferroptosis-mediated fibrosis in ligamentum flavum hypertrophy.单细胞多组学分析确定SPP1巨噬细胞是黄韧带肥厚中 ferroptosis 介导的纤维化的关键驱动因素。
Biomark Res. 2025 Feb 25;13(1):33. doi: 10.1186/s40364-025-00746-6.
4
Identification of macrophages as an immune suppressor in hepatocellular carcinoma using single-cell and bulk transcriptomics.利用单细胞和整体转录组学鉴定巨噬细胞为肝细胞癌中的免疫抑制因子
Front Immunol. 2024 Dec 3;15:1446453. doi: 10.3389/fimmu.2024.1446453. eCollection 2024.
5
Multi-scalar data integration decoding risk genes for chronic kidney disease.多尺度数据整合解码慢性肾病风险基因。
BMC Nephrol. 2024 Oct 18;25(1):364. doi: 10.1186/s12882-024-03798-2.
6
Potential crosstalk between Naïve CD4 T cells and SPP1 Macrophages is associated with clinical outcome and therapeutic response in hepatocellular carcinoma.幼稚 CD4 T 细胞与 SPP1 巨噬细胞之间的潜在串扰与肝细胞癌的临床结局和治疗反应相关。
Int Immunopharmacol. 2024 Dec 5;142(Pt B):113231. doi: 10.1016/j.intimp.2024.113231. Epub 2024 Sep 26.
7
Comprehensive analysis of scRNA-seq and bulk RNA-seq reveals the non-cardiomyocytes heterogeneity and novel cell populations in dilated cardiomyopathy.单细胞RNA测序和批量RNA测序的综合分析揭示了扩张型心肌病中非心肌细胞的异质性和新的细胞群。
J Transl Med. 2025 Jan 6;23(1):17. doi: 10.1186/s12967-024-05983-1.
8
Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury.单细胞 RNA 测序揭示了缺血性急性肾损伤患者肾脏的转录组图谱。
Chin Med J (Engl). 2023 May 20;136(10):1177-1187. doi: 10.1097/CM9.0000000000002679. Epub 2023 Apr 20.
9
Integrative analyses of bulk and single-cell RNA-seq reveals the correlation between SPP1 macrophages and resistance to neoadjuvant chemoimmunotherapy in esophageal squamous cell carcinoma.基于 bulk 和单细胞 RNA-seq 的综合分析揭示 SPP1 巨噬细胞与食管鳞癌新辅助化疗免疫治疗抵抗之间的相关性。
Cancer Immunol Immunother. 2024 Oct 5;73(12):257. doi: 10.1007/s00262-024-03848-6.
10
Intercellular Communication Network of CellChat Uncovers Mechanisms of Kidney Fibrosis Based on Single-Cell RNA Sequencing.基于单细胞RNA测序的CellChat细胞间通信网络揭示肾纤维化机制
Kidney Blood Press Res. 2025;50(1):276-299. doi: 10.1159/000545209. Epub 2025 Mar 20.

引用本文的文献

1
Immune-mediated renal injury in diabetic kidney disease: from mechanisms to therapy.糖尿病肾病中的免疫介导性肾损伤:从机制到治疗
Front Immunol. 2025 Jun 4;16:1587806. doi: 10.3389/fimmu.2025.1587806. eCollection 2025.

本文引用的文献

1
Integrated Single-Cell Transcriptomic Atlas of Human Kidney Endothelial Cells.人类肾脏内皮细胞的整合单细胞转录组图谱。
J Am Soc Nephrol. 2024 May 1;35(5):578-593. doi: 10.1681/ASN.0000000000000320. Epub 2024 Feb 14.
2
ACSS2 gene variants determine kidney disease risk by controlling de novo lipogenesis in kidney tubules.ACSS2 基因变异通过控制肾脏小管中的从头脂肪生成来决定肾脏疾病风险。
J Clin Invest. 2023 Dec 5;134(4):e172963. doi: 10.1172/JCI172963.
3
Identification of Cell-Cell Communications by Single-Cell RNA Sequencing in End Stage Renal Disease Provides New Insights into Immune Cell Heterogeneity.
通过单细胞RNA测序鉴定终末期肾病中的细胞间通讯为免疫细胞异质性提供了新见解。
J Inflamm Res. 2023 Oct 31;16:4977-5000. doi: 10.2147/JIR.S424911. eCollection 2023.
4
An atlas of healthy and injured cell states and niches in the human kidney.人类肾脏健康和损伤细胞状态及生态位图谱
Nature. 2023 Jul;619(7970):585-594. doi: 10.1038/s41586-023-05769-3. Epub 2023 Jul 19.
5
The Interplay between Immune and Metabolic Pathways in Kidney Disease.免疫与代谢途径在肾脏病中的相互作用。
Cells. 2023 Jun 8;12(12):1584. doi: 10.3390/cells12121584.
6
NAD precursor supplementation prevents mtRNA/RIG-I-dependent inflammation during kidney injury.NAD 前体补充可预防肾损伤期间 mtRNA/RIG-I 依赖性炎症。
Nat Metab. 2023 Mar;5(3):414-430. doi: 10.1038/s42255-023-00761-7. Epub 2023 Mar 13.
7
Platelet-instructed SPP1 macrophages drive myofibroblast activation in fibrosis in a CXCL4-dependent manner.血小板指导的 SPP1 巨噬细胞以 CXCL4 依赖的方式驱动纤维化中的肌成纤维细胞激活。
Cell Rep. 2023 Feb 28;42(2):112131. doi: 10.1016/j.celrep.2023.112131. Epub 2023 Feb 18.
8
Molecular pathways that drive diabetic kidney disease.驱动糖尿病肾病的分子通路。
J Clin Invest. 2023 Feb 15;133(4):e165654. doi: 10.1172/JCI165654.
9
Heterogeneity of tumor-infiltrating myeloid cells in era of single-cell genomics.单细胞基因组学时代肿瘤浸润髓系细胞的异质性
Chin J Cancer Res. 2022 Dec 30;34(6):543-553. doi: 10.21147/j.issn.1000-9604.2022.06.01.
10
Single-cell analysis highlights differences in druggable pathways underlying adaptive or fibrotic kidney regeneration.单细胞分析突出了适应性或纤维化肾脏再生背后可用药理途径的差异。
Nat Commun. 2022 Jul 11;13(1):4018. doi: 10.1038/s41467-022-31772-9.