ArticleGenome medicine2024
Identification of novel therapeutic targets for chronic kidney disease and kidney function by integrating multi-omics proteome with transcriptome.
Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.
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Who cites it
63 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.Briefings in bioinformatics · 2025Pooled it
- Mitochondria-related pathogenic genes in acute and chronic kidney disease: a Mendelian randomization study.Renal failure · 2026Article
- The deubiquitinase YOD1 in renal tubular epithelial cells promotes diabetic kidney disease by stabilizing KEAP1.Acta pharmacologica Sinica · 2026Article
- Application of a Combined Transcriptomics and Proteomics Analysis Approach to Explore Potential Mechanisms of Biomarkers in NIHL.CNS neuroscience & therapeutics · 2026Article
- Orchestrating glucose metabolism: PFKFB2 as a signal-integrating conductor in homeostasis and disease.The Journal of biological chemistry · 2026Review
- Roles of Biomarkers in Chronic Kidney Disease and Related Conditions.Journal of clinical medicine · 2026Article
- Integrating Proteome-Wide Association Studies and Single-Cell Transcriptomics Identifies GSTT2B as a Causal Mediator and Prioritizes COL4A1 in Diabetic Retinopathy.International journal of molecular sciences · 2026Article
- Mechanism-centered target discovery across glomerulonephritis phenotypes: an integrative multi-omics study.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications.Signal transduction and targeted therapy · 2026Review
- Integrated multi-dimensional analyses reveal a BTN3A2-centered diagnostic risk score and a monocyte-T cell axis as central drivers of dermatomyositis.Clinical rheumatology · 2026Article
- Clinical application of liquid biopsy in the diagnosis and treatment of lung cancer: taking ctDNA for example-a narrative review.Journal of thoracic disease · 2026Review
- GATM alleviates sepsis-induced acute kidney injury via PDK4-mediated glycolytic reprogramming in renal tubular epithelial cells.Cellular and molecular life sciences : CMLS · 2026Article
- NR1H4 downregulation facilitates abnormal cell proliferation contributing to IgA nephropathy pathogenesis, with potential clinical implications.Human cell · 2026Article
- Exploring the causal relationship between plasma proteins and obstructive sleep apnea: a study using genome-wide Mendelian randomization, single-cell RNA sequencing analysis, and network pharmacology.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- From classroom to clinic: analyzing the genomics competency gap across undergraduate students, graduate students, and practicing nurses in China.BMC nursing · 2026Article
- Pressure cycling technology-assisted data-independent acquisition proteomics reveals molecular alterations and potential therapeutic targets in minor glomerular abnormalities.Precision clinical medicine · 2026Article
- Proteomic analysis of stone-containing and non-stone human renal papillae reveals novel insights and therapeutic targets.Urolithiasis · 2026Article
- Multiomics Mendelian randomization identifies serpin family G member 1 as a chronic obstructive pulmonary disease modulator.Signal transduction and targeted therapy · 2026Article
- FCRL3 as a potential link between Benzo[a]pyrene exposure and primary biliary cholangitis: insights from comparative toxicogenomics and multi-omics analysis.BMC gastroenterology · 2026Article
- Chronic Kidney disease and cognitive frailty in aging: molecular crosstalk and clinical implications.Frontiers in aging neuroscience · 2026Review
3 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
Abstract
backgroundChronic 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.
methodsWe 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).
resultsLeveraging 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.
conclusionsOur 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.
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