• 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

通过整合多组学蛋白质组学和转录组学,鉴定慢性肾脏病和肾功能的新治疗靶点。

Identification of novel therapeutic targets for chronic kidney disease and kidney function by integrating multi-omics proteome with transcriptome.

机构信息

Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, 100191, China.

Peking University Health Science Center, Beijing, 100191, China.

出版信息

Genome Med. 2024 Jun 19;16(1):84. doi: 10.1186/s13073-024-01356-x.

DOI:10.1186/s13073-024-01356-x
PMID:38898508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11186236/
Abstract

BACKGROUND

Chronic kidney disease (CKD) is a progressive disease for which there is no effective cure. We aimed to identify potential drug targets for CKD and kidney function by integrating plasma proteome and transcriptome.

METHODS

We designed a comprehensive analysis pipeline involving two-sample Mendelian randomization (MR) (for proteins), summary-based MR (SMR) (for mRNA), and colocalization (for coding genes) to identify potential multi-omics biomarkers for CKD and combined the protein-protein interaction, Gene Ontology (GO), and single-cell annotation to explore the potential biological roles. The outcomes included CKD, extensive kidney function phenotypes, and different CKD clinical types (IgA nephropathy, chronic glomerulonephritis, chronic tubulointerstitial nephritis, membranous nephropathy, nephrotic syndrome, and diabetic nephropathy).

RESULTS

Leveraging pQTLs of 3032 proteins from 3 large-scale GWASs and corresponding blood- and tissue-specific eQTLs, we identified 32 proteins associated with CKD, which were validated across diverse CKD datasets, kidney function indicators, and clinical types. Notably, 12 proteins with prior MR support, including fibroblast growth factor 5 (FGF5), isopentenyl-diphosphate delta-isomerase 2 (IDI2), inhibin beta C chain (INHBC), butyrophilin subfamily 3 member A2 (BTN3A2), BTN3A3, uromodulin (UMOD), complement component 4A (C4a), C4b, centrosomal protein of 170 kDa (CEP170), serologically defined colon cancer antigen 8 (SDCCAG8), MHC class I polypeptide-related sequence B (MICB), and liver-expressed antimicrobial peptide 2 (LEAP2), were confirmed. To our knowledge, 20 novel causal proteins have not been previously reported. Five novel proteins, namely, GCKR (OR 1.17, 95% CI 1.10-1.24), IGFBP-5 (OR 0.43, 95% CI 0.29-0.62), sRAGE (OR 1.14, 95% CI 1.07-1.22), GNPTG (OR 0.90, 95% CI 0.86-0.95), and YOD1 (OR 1.39, 95% CI 1.18-1.64,) passed the MR, SMR, and colocalization analysis. The other 15 proteins were also candidate targets (GATM, AIF1L, DQA2, PFKFB2, NFATC1, activin AC, Apo A-IV, MFAP4, DJC10, C2CD2L, TCEA2, HLA-E, PLD3, AIF1, and GMPR1). These proteins interact with each other, and their coding genes were mainly enrichment in immunity-related pathways or presented specificity across tissues, kidney-related tissue cells, and kidney single cells.

CONCLUSIONS

Our integrated analysis of plasma proteome and transcriptome data identifies 32 potential therapeutic targets for CKD, kidney function, and specific CKD clinical types, offering potential targets for the development of novel immunotherapies, combination therapies, or targeted interventions.

摘要

背景

慢性肾脏病(CKD)是一种无法治愈的进行性疾病。我们旨在通过整合血浆蛋白质组和转录组来鉴定 CKD 和肾功能的潜在药物靶点。

方法

我们设计了一个综合分析管道,包括两样本孟德尔随机化(MR)(用于蛋白质)、基于汇总的 MR(SMR)(用于 mRNA)和共定位(用于编码基因),以鉴定 CKD 和联合蛋白质-蛋白质相互作用、基因本体论(GO)和单细胞注释的潜在多组学生物标志物,以探索潜在的生物学作用。结果包括 CKD、广泛的肾功能表型和不同的 CKD 临床类型(IgA 肾病、慢性肾小球肾炎、慢性肾小管间质性肾炎、膜性肾病、肾病综合征和糖尿病肾病)。

结果

利用来自 3 个大型全基因组关联研究的 3032 种蛋白质的 pQTLs 及其相应的血液和组织特异性 eQTLs,我们鉴定了 32 种与 CKD 相关的蛋白质,这些蛋白质在不同的 CKD 数据集、肾功能指标和临床类型中得到了验证。值得注意的是,有 12 种蛋白质具有先前的 MR 支持,包括成纤维细胞生长因子 5(FGF5)、异戊烯二磷酸 delta-异构酶 2(IDI2)、抑制素 beta C 链(INHBC)、butyrophilin 亚家族 3 成员 A2(BTN3A2)、BTN3A3、尿调蛋白(UMOD)、补体成分 4A(C4a)、C4b、中心体蛋白 170 kDa(CEP170)、血清定义的结肠癌抗原 8(SDCCAG8)、MHC Ⅰ类多肽相关序列 B(MICB)和肝表达抗菌肽 2(LEAP2),得到了证实。据我们所知,有 20 种新的因果蛋白质以前没有报道过。有 5 种新的蛋白质,即葡萄糖激酶调节蛋白(GCKR)(OR 1.17,95%CI 1.10-1.24)、胰岛素样生长因子结合蛋白 5(IGFBP-5)(OR 0.43,95%CI 0.29-0.62)、可溶性晚期糖基化终产物受体(sRAGE)(OR 1.14,95%CI 1.07-1.22)、GNPTG(OR 0.90,95%CI 0.86-0.95)和 YOD1(OR 1.39,95%CI 1.18-1.64)通过了 MR、SMR 和共定位分析。其他 15 种蛋白质也是候选靶点(GATM、AIF1L、DQA2、PFKFB2、NFATC1、激活素 AC、Apo A-IV、MFAP4、DJC10、C2CD2L、TCEA2、HLA-E、PLD3、AIF1 和 GMPR1)。这些蛋白质相互作用,其编码基因主要富集在免疫相关途径中,或在组织、肾脏相关组织细胞和肾脏单细胞中表现出特异性。

结论

我们对血浆蛋白质组和转录组数据的综合分析鉴定了 32 个潜在的 CKD、肾功能和特定 CKD 临床类型的治疗靶点,为新型免疫疗法、联合疗法或靶向干预的开发提供了潜在的靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/483d836a88af/13073_2024_1356_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/55c4c93a71ef/13073_2024_1356_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/388901327d05/13073_2024_1356_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/eebe0c71a2ef/13073_2024_1356_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/ae4034e54717/13073_2024_1356_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/ff3035a33875/13073_2024_1356_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/483d836a88af/13073_2024_1356_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/55c4c93a71ef/13073_2024_1356_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/388901327d05/13073_2024_1356_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/eebe0c71a2ef/13073_2024_1356_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/ae4034e54717/13073_2024_1356_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/ff3035a33875/13073_2024_1356_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038d/11186236/483d836a88af/13073_2024_1356_Fig6_HTML.jpg

相似文献

1
Identification of novel therapeutic targets for chronic kidney disease and kidney function by integrating multi-omics proteome with transcriptome.通过整合多组学蛋白质组学和转录组学,鉴定慢性肾脏病和肾功能的新治疗靶点。
Genome Med. 2024 Jun 19;16(1):84. doi: 10.1186/s13073-024-01356-x.
2
Multi-Omic Analysis Reveals Genetic Determinants and Therapeutic Targets of Chronic Kidney Disease and Kidney Function.多组学分析揭示慢性肾脏病和肾功能的遗传决定因素和治疗靶点。
Int J Mol Sci. 2024 May 30;25(11):6033. doi: 10.3390/ijms25116033.
3
Proteome-wide mendelian randomization identifies novel therapeutic targets for chronic kidney disease.全蛋白质组学孟德尔随机化鉴定慢性肾脏病的新治疗靶点。
Sci Rep. 2024 Sep 27;14(1):22114. doi: 10.1038/s41598-024-72970-3.
4
Mendelian randomization and genetic colocalization infer the effects of the multi-tissue proteome on 211 complex disease-related phenotypes.孟德尔随机化和遗传共定位推断多组织蛋白质组对 211 种复杂疾病相关表型的影响。
Genome Med. 2022 Dec 12;14(1):140. doi: 10.1186/s13073-022-01140-9.
5
Association between GATM gene polymorphism and progression of chronic kidney disease: a mitochondrial related genome-wide Mendelian randomization study.GATM基因多态性与慢性肾脏病进展的关联:一项线粒体相关的全基因组孟德尔随机化研究
Sci Rep. 2024 Sep 16;14(1):20346. doi: 10.1038/s41598-024-68448-x.
6
Integrating plasma protein-centric multi-omics to identify potential therapeutic targets for pancreatic cancer.整合血浆蛋白组学多组学分析以鉴定胰腺癌的潜在治疗靶点。
J Transl Med. 2024 Jun 10;22(1):557. doi: 10.1186/s12967-024-05363-9.
7
Integrated multiple-microarray analysis and mendelian randomization to identify novel targets involved in diabetic nephropathy.综合多种微阵列分析和孟德尔随机化鉴定新的糖尿病肾病相关靶点。
Front Endocrinol (Lausanne). 2023 Jul 10;14:1191768. doi: 10.3389/fendo.2023.1191768. eCollection 2023.
8
Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome.通过整合人类血浆蛋白质组与基因组,鉴定结直肠癌的新型蛋白质生物标志物和药物靶标。
Genome Med. 2023 Sep 19;15(1):75. doi: 10.1186/s13073-023-01229-9.
9
Oxidative stress gene expression, DNA methylation, and gut microbiota interaction trigger Crohn's disease: a multi-omics Mendelian randomization study.氧化应激基因表达、DNA 甲基化和肠道微生物群相互作用引发克罗恩病:一项多组学孟德尔随机化研究。
BMC Med. 2023 May 11;21(1):179. doi: 10.1186/s12916-023-02878-8.
10
Identification of genetic association between mitochondrial dysfunction and knee osteoarthritis through integrating multi-omics: a summary data-based Mendelian randomization study.通过整合多组学技术识别线粒体功能障碍与膝骨关节炎的遗传关联:基于汇总数据的孟德尔随机化研究。
Clin Rheumatol. 2024 Nov;43(11):3487-3496. doi: 10.1007/s10067-024-07136-7. Epub 2024 Sep 11.

引用本文的文献

1
eQTL and multi-omics integration reveal PPIH as a prognostic and immunotherapeutic biomarker.eQTL与多组学整合揭示PPIH作为一种预后和免疫治疗生物标志物。
Front Immunol. 2025 Aug 14;16:1647722. doi: 10.3389/fimmu.2025.1647722. eCollection 2025.
2
Exploring the Proteomic Signature of Diabetic Nephropathy: Implications for Early Diagnosis and Treatment.探索糖尿病肾病的蛋白质组学特征:对早期诊断和治疗的意义。
Life (Basel). 2025 Aug 19;15(8):1312. doi: 10.3390/life15081312.
3
Intersecting Pathways of Inflammation, Oxidative Stress, and Atherogenesis in the Evaluation of CKD: Emerging Biomarkers PCSK9, EPHX2, AOPPs, and TBARSs.

本文引用的文献

1
Advances in the management of chronic kidney disease.慢性肾脏病管理的进展。
BMJ. 2023 Dec 5;383:e074216. doi: 10.1136/bmj-2022-074216.
2
Integrating multi-omics data to analyze the potential pathogenic mechanism of CTSH gene involved in type 1 diabetes in the exocrine pancreas.整合多组学数据分析 CTSH 基因在外分泌胰腺 1 型糖尿病发病机制中的潜在致病机制。
Brief Funct Genomics. 2024 Jul 19;23(4):406-417. doi: 10.1093/bfgp/elad052.
3
Genome-wide meta-analysis, functional genomics and integrative analyses implicate new risk genes and therapeutic targets for anxiety disorders.
慢性肾脏病评估中炎症、氧化应激与动脉粥样硬化发生的交叉途径:新兴生物标志物前蛋白转化酶枯草溶菌素9、环氧化物水解酶2、晚期氧化蛋白产物及硫代巴比妥酸反应物
Life (Basel). 2025 Aug 13;15(8):1287. doi: 10.3390/life15081287.
4
Exploring the molecular mechanism of budesonide enteric capsules in the treatment of IgA nephropathy based on bioinformatics.基于生物信息学探索布地奈德肠溶胶囊治疗IgA肾病的分子机制
Sci Rep. 2025 Aug 21;15(1):30795. doi: 10.1038/s41598-025-16380-z.
5
Genetic prioritisation of candidate drug targets for glaucoma through multi-trait and multi-omics integration.通过多性状和多组学整合对青光眼候选药物靶点进行遗传优先级排序。
Eye Vis (Lond). 2025 Jul 10;12(1):26. doi: 10.1186/s40662-025-00442-4.
6
Systematic Druggable-Proteome-Wide Mendelian Randomization Identifies Potential Therapeutic Targets for Allergic Conjunctivitis.全蛋白质组范围的系统性孟德尔随机化研究确定了过敏性结膜炎的潜在治疗靶点。
Transl Vis Sci Technol. 2025 Jul 1;14(7):6. doi: 10.1167/tvst.14.7.6.
7
Application of biomarkers in the diagnosis of kidney disease.生物标志物在肾脏疾病诊断中的应用。
Front Med (Lausanne). 2025 Apr 30;12:1560222. doi: 10.3389/fmed.2025.1560222. eCollection 2025.
8
Uncovering therapeutic targets for Pre-eclampsia and pregnancy hypertension via multi-tissue data integration.通过多组织数据整合揭示子痫前期和妊娠高血压的治疗靶点。
BMC Pregnancy Childbirth. 2025 Apr 23;25(1):479. doi: 10.1186/s12884-025-07608-x.
9
Molecular and Cellular Mechanisms Linking Chronic Kidney Disease and Sarcopenia in Aging: An Integrated Perspective.衰老过程中慢性肾脏病与肌肉减少症关联的分子和细胞机制:综合视角
Clin Interv Aging. 2025 Apr 8;20:449-458. doi: 10.2147/CIA.S516704. eCollection 2025.
10
Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.从数据科学视角看深度学习在单细胞和空间转录组学数据分析中的进展与挑战
Brief Bioinform. 2025 Mar 4;26(2). doi: 10.1093/bib/bbaf136.
全基因组荟萃分析、功能基因组学和综合分析提示了焦虑障碍的新风险基因和治疗靶点。
Nat Hum Behav. 2024 Feb;8(2):361-379. doi: 10.1038/s41562-023-01746-y. Epub 2023 Nov 9.
4
Proteomics of CKD progression in the chronic renal insufficiency cohort.慢性肾功能不全队列中 CKD 进展的蛋白质组学研究。
Nat Commun. 2023 Oct 10;14(1):6340. doi: 10.1038/s41467-023-41642-7.
5
BTN3A3 inhibits clear cell renal cell carcinoma progression by regulating the ROS/MAPK pathway via interacting with RPS3A.BTN3A3 通过与 RPS3A 相互作用调节 ROS/MAPK 通路抑制透明细胞肾细胞癌的进展。
Cell Signal. 2023 Dec;112:110914. doi: 10.1016/j.cellsig.2023.110914. Epub 2023 Oct 6.
6
Plasma proteomic associations with genetics and health in the UK Biobank.英国生物库中血浆蛋白质组与遗传学和健康的关联。
Nature. 2023 Oct;622(7982):329-338. doi: 10.1038/s41586-023-06592-6. Epub 2023 Oct 4.
7
A novel multi-ancestry proteome-wide Mendelian randomization study implicates extracellular proteins, tubular cells, and fibroblasts in estimated glomerular filtration rate regulation.一项新的多血统蛋白质组全基因组孟德尔随机化研究表明,细胞外蛋白、管状细胞和成纤维细胞参与了估算肾小球滤过率的调节。
Kidney Int. 2023 Dec;104(6):1170-1184. doi: 10.1016/j.kint.2023.08.025. Epub 2023 Sep 27.
8
In silico analysis and verification of critical genes related to vascular calcification in multiple diseases.多种疾病中与血管钙化相关的关键基因的计算机分析与验证
Cell Biochem Funct. 2023 Dec;41(8):1242-1251. doi: 10.1002/cbf.3858. Epub 2023 Sep 14.
9
Associations of Baseline and Longitudinal Serum Uromodulin With Kidney Failure and Mortality: Results From the African American Study of Kidney Disease and Hypertension (AASK) Trial.基线和纵向血清尿调蛋白与肾衰竭和死亡的关联:来自非裔美国人肾脏病和高血压研究(AASK)试验的结果。
Am J Kidney Dis. 2024 Jan;83(1):71-78. doi: 10.1053/j.ajkd.2023.05.017. Epub 2023 Sep 9.
10
Deubiquitylase YOD1 regulates CDK1 stability and drives triple-negative breast cancer tumorigenesis.去泛素化酶 YOD1 调节 CDK1 的稳定性并驱动三阴性乳腺癌的肿瘤发生。
J Exp Clin Cancer Res. 2023 Sep 4;42(1):228. doi: 10.1186/s13046-023-02781-3.