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Urinary Ubiquitin-Specific Protease 2 (USP2) as a Diagnostic Biomarker for Chronic Kidney Disease: An Integrated Multi-Omics and Network Analysis

ABSTRACT: Urinary USP2 is elevated in chronic kidney disease and shows strong diagnostic performance. Integrated metabolomics and proteomics analyses identified cortisol and prostaglandin A3 as candidate mediators and linked USP2 to lipid metabolism and ferroptosis-related pathways.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse-phase, Liquid Chromatography MS - positive - reverse-phase

PROVIDER: MTBLS14426 | MetaboLights | 2026-05-05

REPOSITORIES: MetaboLights

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			Action	DRS
	a_MTBLS14426_LC-MS_negative_reverse-phase-1.txt	Txt
	a_MTBLS14426_LC-MS_negative_reverse-phase.txt	Txt
	a_MTBLS14426_LC-MS_positive_reverse-phase-1.txt	Txt
	a_MTBLS14426_LC-MS_positive_reverse-phase.txt	Txt
	i_Investigation.txt	Txt

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Urinary Ubiquitin-Specific Protease 2 (USP2) as a Diagnostic Biomarker for Chronic Kidney Disease: An Integrated Multi-Omics and Network Analysis

Project description:Urinary USP2 is elevated in chronic kidney disease and shows strong diagnostic performance. Integrated metabolomics and proteomics analyses identified cortisol and prostaglandin A3 as candidate mediators and linked USP2 to lipid metabolism and ferroptosis-related pathways.

2026-05-05 | PXD078058 |

Urinary Extracellular Vesicles RNA Profile in Clear Cell Renal Cell Carcinoma as Biomarker

Project description:Background: Renal cell carcinoma (RCC) accounts for about 2% of all cancers. Renal biopsy is the gold standard among the diagnostic tools, but it is invasive and not suitable for all patients. Therefore, new reliable and non-invasive biomarkers for ccRCC detection are required. Secretion of extracellular vesicles (EVs), containing RNA molecules that can be transferred between cells, seems to be a general characteristic of malignant transformation. Consistently, cancer-derived EVs are enriched in the blood, urine and various malignant effusions of cancer patients. Therefore, urinary samples can be a non-invasive approach for discovering diagnostic biomarkers. Methods: We enrolled 33 clear-cell RCC (ccRCC) patients and 22 healthy subjects (HS), age and sex-matched, for urine collection and extracellular vesicles isolation by differential centrifugation. Transcriptional profiles of urinary EVs from 12 patients with ccRCC and 11 HS were generated using the Illumina HumanHT-12 v4 BeadChip oligonucleotide arrays. Microarray analysis led to the identification of RNA that were then validated using RT-qPCR. Results: We showed for the first time that urinary exosomal shuttle RNA (esRNA) was significantly different in ccRCC patients compared to HS and we identified three EVs esRNA involved in the tumor biology that are potentially suitable as non-invasive biomarkers. GSTA1, CEBPA and PCBD1 RNA levels decreased in urinary EVs of patients compared to HS. After 1 month post-operation, the levels of RNA increased to reach the normal level. Conclusions: This study suggests, for the first time, the potential use of the RNA content of urinary EVs to provide a non-invasive first step to diagnose the ccRCC. Total RNA obtained from urinary extracellular vesicles isolated from ccRCC patients and healthy subjects.

2016-09-01 | E-GEOD-72922 | biostudies-arrayexpress

Transcriptomic Analysis Identifies Urinary CXCL10 as an Early Biomarker for Subclinical Acute Rejection SCAR in Kidney Transplantation

Project description:Our study on 4 four main objectives: (i) evaluate the incidence of SCAR in a clinical prospective study of kidney transplant patients who underwent protocol biopsies at established times; (ii) analyze the molecular pattern of SCAR tissue; (iii) identify urinary biomarkers linked to SCAR gene expression; (iv)validate the identified biomarkers in an external independent cohort of kidney transplant patients.

2026-04-01 | GSE294632 | GEO

Urinary MicroRNA-based Diagnostic Model for Central Nervous System Tumors Using Nanowire Scaffolds

Project description:A urinary miRNA combination could be a powerful classifier for the detection of patients with brain tumors.

2021-03-31 | GSE145510 | GEO

Urinary Cell Transcriptomics and Acute Rejection in Human Kidney Allografts

Project description:RNA-sequencing (RNA-Seq) is a precise tool to analyze global transcriptional changes, develop biomarkers, and decipher pathogenic mechanisms. We performed RNA-Seq of urinary cells to investigate gene expression patterns and pathways and whether urinary cell mRNA transcriptional profiles are enriched for biopsy transcriptional profiles.

2020-04-07 | GSE142667 | GEO

A novel urinary microRNA biomarker panel for detecting gastric cancer

Project description:Purpose: Gastric cancer (GC) is one of the most common causes of cancer deaths worldwide; however, reliable and non-invasive screening methods for GC are not established. Therefore, we conducted this study to develop a biomarker for GC detection, consisting of urinary microRNAs (miRNAs). Experimental Design: We matched 306 participants by age and sex (153 pairs consisting of patients with GC and healthy controls [HCs]), then randomly divided them across three groups: (1) the discovery cohort (4 pairs); (2) the training cohort (95 pairs); (3) the validation cohort (54 pairs). Moreover, 64 participants (32 pairs) with serum samples were also enrolled in the serum cohort. Result: There were 22 urinary miRNAs with significantly aberrant expressions between the two groups in the discovery cohort. Upon multivariate analysis of the training cohort, urinary expression levels of miR-6807-5p and miR-6856-5p were significantly independent biomarkers for diagnosis of GC, in addition to Helicobacter pylori (H. pylori) status. A diagnostic panel that combined the aberrant miRNAs and H. pylori status distinguished between HC and GC samples with an area under the curve (AUC) = 0.736. In the validation cohort, urinary miR-6807-5p and miR-6856-5p showed significantly higher expression levels in the GC group, and the combination biomarker panel of miR-6807-5p, miR-6856-5p, and H. pylori status also showed excellent performance (AUC = 0.885). In addition, serum levels of miR-6807-5p and miR-6856-5p were significantly higher in the GC group. Conclusion: This novel biomarker panel enables early and non-invasive detection of GC.

2019-12-22 | GSE128720 | GEO

Urinary Exosome as a Potential Biomarker of Exercise-Induced Fatigue in Young Adult Males

Project description:Exercise could stimulate the release of exosomes into the circulation, transferring signals between the cells. Exosomes are also found in urine, which is an emerging biomarker of several diseases. However, the characteristics of urinary exosomes and their contents after exercise remain poorly understood. We used microarrays to identify the alteration of gene expression in urinary exosomes after exercise bout.

2022-01-09 | GSE193186 | GEO

Urinary Extracellular Vesicles RNA Profile in Clear Cell Renal Cell Carcinoma as Biomarker

2016-09-01 | GSE72922 | GEO