Urinary Exosome as a Potential Biomarker of Exercise-Induced Fatigue in Young Adult Males
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE193186 | GEO | 2022/01/09
REPOSITORIES: GEO
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Project description:This study is to identify urinary exosome microRNAs (miRNAs) that are unique to premature ovarian insufficiency (POI) with and without Turner syndrome and to use them as diagnostic markers for POI patients. We examined the miRNAexpression profile in urine exosomes from POI patients with and without Turner syndrome.
2022-09-28 | GSE205700 | GEO
Project description:The aim of this study was to compare miRNA expression in urinary exosomes from type 1 diabetic patients with and without incipient diabetic nephropathy. Overnight urine collections were obtained from normo- and microalbuminuric type 1 diabetic patients. Urines were pre-cleared by both centrifugation and filtration, urinary exosomes were isolated by two consecutive ultracentrifugation steps and total RNA extracted. Differential miRNA profiling was performed using a Human TaqMan miRNA Array A on an 7900HT Fast Real-Time PCR System. Results showed that expression of 22 urinary exosomal miRNAs differed in incipient diabetic nephropathy. Differential qPCR miRNA profiling was performed on urinary exosomes from 2 pairs of micro/normoalbuminuric type 1 diabetic patients comparable for age, sex, diabetes duration, and tightly matched for HbA1c (1° pair: 8.1 vs. 8.1, 2° pair: 8.7 vs. 8.7). MiRNAs were considered differentially expressed if they exhibited greater than twofold expression differences in both pairs.
2014-02-14 | E-GEOD-48318 | biostudies-arrayexpress
Project description:Urinary Exosome as a Potential Biomarker of Exercise-Induced Fatigue in Young Adult Males
| PRJNA795215 | ENA
Project description:The aim of this study was to compare miRNA expression in urinary exosomes from type 1 diabetic patients with and without incipient diabetic nephropathy. Overnight urine collections were obtained from normo- and microalbuminuric type 1 diabetic patients. Urines were pre-cleared by both centrifugation and filtration, urinary exosomes were isolated by two consecutive ultracentrifugation steps and total RNA extracted. Differential miRNA profiling was performed using a Human TaqMan miRNA Array A on an 7900HT Fast Real-Time PCR System. Results showed that expression of 22 urinary exosomal miRNAs differed in incipient diabetic nephropathy.
2014-02-14 | GSE48318 | GEO
Project description:Exosome-derived miRNAs are regarded as biomarkers for the diagnosis and prognosis of many human cancers. However, its function in clear cell renal cell carcinoma (ccRCC) remains unclear. In this study, differentially expressed miRNAs from urinal exosomes were identified using next-generation sequencing (NGS) and verified using urine samples of ccRCC patients and healthy donors. Then the exosomes were analyzed in early-stage ccRCC patients, healthy individuals and patients suffering with other urinary system cancers. Afterwards, the target gene of the miRNA was detected. Its biological function was investigated in vitro and in vivo. The results showed that miR-30c-5p could be stably amplified. Its expression pattern was significantly different only between ccRCC patients and healthy control individuals, but not compared with that of other urinary system cancers, which indicated its ccRCC specificity. Additionally, the overexpression of miR-30c-5p inhibited ccRCC progression in vitro and in vivo. Heat shock Protein 5 (HSPA5) was found to be a direct target gene of miR-30c-5p. HSPA5 depletion caused by miR-30c-5p inhibition reversed the promoting effect of ccRCC growth. In conclusion, urinary exosomal miR-30c-5p acts as a potential diagnostic biomarker of early-stage ccRCC, and might modulate the expression of HSPA5, which is correlated with the progression of ccRCC.
2019-04-03 | GSE129255 | GEO
Project description:Exosomes are nanoscale, membrane-enclosed vesicles with contents similar to their parent cells, which are rich in potential biomarkers, including membrane proteins such as transporters and receptors, transcription factors and microRNAs. Urine, as a non-invasive sampling body fluid, has the advantages of being simple to collect, stable in protein, diverse and not regulated by homeostatic mechanisms of the body, making it a favorable target for studying tumor biomarkers. In this report, urinary exosomal proteome was analyzed and high throughput downstream validation was performed using a supramolecular probe-based capture and in situ detection. Due to the low concentration of exosomes in urine, supramolecular exosome array was significantly improved with well-blot loading format accommodating the higher sample volume which provides an effective platform for urinary exosomal biomarker validation. The technology demonstrated efficient enrichment of exosomes with high concentration (5.5×1010 particles/mL) and high purity (2.607×1010 particles/mg) of exosomes from urine samples. Proteomic analysis of urine samples from patients with hepatocellular carcinoma and healthy individuals combined with proteomic screening techniques revealed that 68 proteins were up-regulated in patients with hepatocellular carcinoma. As a proof-of-principle study, three of these differentially expressed proteins, including OLFM4, HDGF and GDF15 were validated using the supramolecular probe-based array (48 samples per batch). These findings demonstrate the great potential of this approach towards liquid biopsy for the discovery and validation of biomarkers from urinary exosomes and it can be extended to various biological samples with lower content of exosomes.
2023-03-10 | PXD040756 | JPOST Repository
Project description:The purpose of this study was the identification of RNAs contained in the urinary exosome (UExo) from dogs and cats. The quality of total RNA in isolated urinary exosome (UExo)-derived total RNAs obtained from the column-based method (urine 1 mL) was checked by using a Bioanalyzer, and samples from normal renal function (NR) group and kidney disease (KD) group were pooled as one sample for each group. We collected NR dogs (n = 37), KD dogs (n = 47), NR cats (n=43), and KD cats (n = 45). For the next generation sequencing, libraries were prepared according to the manufacturer’s protocols and sequenced using 50-base reads acquired by using a HiSeq 2000 platform. The December 2011 (GRCm38/mm10) mouse (Mus musculus) genome data were used as reference. As a result, we could identify the miRNA from these samples.
2018-12-10 | GSE121156 | GEO
Project description:Urinary exosomal miRNA profiling was conducted in urinary exosomes obtained from 8 healthy controls (C), 8 patients with type II diabetes (T2D) and 8 patients with type II diabetic nephropathy (DN) using Agilent´s miRNA microarrays.
2016-11-03 | E-MTAB-4166 | biostudies-arrayexpress
Project description:Background: Renal cell carcinoma, which presents no significant clinical manifestations at early stages, is one of the few tumors with an increasing worldwide incidence. This malignancy cannot be directly detected by tumor markers in body fluid without information from imaging examinations. Approximately 30–40% of patients with kidney cancer exhibit distant metastasis at diagnosis, and their 5-year survival rate is much lower than that of patients with early-stage renal cell carcinoma. Thus, the early diagnosis of renal cell carcinoma is extremely important. The aim of this study was to investigate the utility of urinary exosomal long noncoding RNA (lncRNA) as a new potential diagnostic marker for renal cell carcinoma. Methods: Exosomes were isolated by ultracentrifugation from 50-ml urine samples from 10 patients with clear cell renal cell carcinoma and 10 matched healthy donors. Differentially expressed lncRNAs were analyzed by next-generation sequencing and further validated in kidney cancer cell lines, tissues and urinary exosomes. Then, we evaluated the sensitivity, specificity, clinical diagnostic value and stability of the selected lncRNAs. Results: The levels of lncRNAs NR_040448 and NR_033390 in urinary exosomes can likely indicate the presence of renal cell carcinoma. In addition, RNA protected by exosomes was stable enough to serve as a biomarker. Conclusion: Urinary exosomal lncRNA is a promising marker for the early diagnosis of renal cell carcinoma.
2019-01-23 | GSE125442 | GEO
Project description:The enteric bacterium Proteus mirabilis is a common cause of complicated urinary tract infections. In the study, microrarrays were used to analyze P. mirabilis gene expression in vivo from experimentally infected mice. Urine was collected at 1, 3, and 7d postinfection, and RNA was isolated from bacteria in the urine for transcriptional analysis. Across 9 microarrays, 471 genes were upregulated and 82 were downregulated in vivo compared to in vitro broth culture. Genes upregulated in vivo encoded MR/P fimbriae, urease, iron uptake systems, amino acid and peptide transporters, pyruvate metabolism, and portions of the TCA cycle. Flagella were downregulated. Ammonia assimilation gene glnA (glutamine synthetase) was repressed in vivo while gdhA (glutamate dehydrogenase) was upregulated in vivo. Contrary to our expectations, ammonia availability due to urease activity in P. mirabilis did not drive this gene expression. A gdhA mutant was growth-deficient in minimal medium with citrate as the sole carbon source, and loss of gdhA resulted in a significant fitness defect in the mouse model of urinary tract infection. Unlike Escherichia coli, which represses gdhA and upregulates glnA in vivo and cannot utilize citrate, the data suggest that P. mirabilis uses glutamate dehydrogenase to monitor carbon-nitrogen balance, and this ability contributes to the pathogenic potential of P. mirabilis in the urinary tract. Voided urine from female CBA/J mice infected with Proteus mirabilis was collected and pooled in RNA stabilizing reagent (RNAprotect). Urine was collected at 1, 3, and 7 d postinfection. RNA was isolated from urine and log-phase LB cultures, converted to cDNA, and labeled with CyDye. Three arrays were completed per time point (9 arrays total). Slides were scanned with a ScanArray Express microarray scanner (Perkin Elmer) at 10 μm resolution and quantified using ScanArray Express software. Resulting data were normalized by total intensity and median spot intensities were identified using MIDAS (v. 2.22) software.
2011-11-29 | E-GEOD-25977 | biostudies-arrayexpress