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ABSTRACT: KiSMi Kidney stone patients - gut samples

PROVIDER: PRJNA649273 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR12395700_1.fastq.gz	Fastqsanger.gz
	SRR12395700_2.fastq.gz	Fastqsanger.gz
	SRR12395701_1.fastq.gz	Fastqsanger.gz
	SRR12395701_2.fastq.gz	Fastqsanger.gz
	SRR12395702_1.fastq.gz	Fastqsanger.gz

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Single-nucleus atlas of the human kidney papilla identifies significant immune injury in patients with stone disease

Project description:Kidney stone disease causes significant morbidity and increases health care utilization. In this dataset, we applied a single-nucleus assay to renal papila samples in order to charachterize the cellular and molecular niches in patients with calcium oxalate (CaOx) stone disease and healthy subjects. In addition to identifying cell types important in papillary physiology, we characterize collecting duct cell subtypes and an undifferentiated epithelial cell type that was more prevalent in stone patients. Despite the focal nature of mineral deposition in nephrolithiasis, we uncover a global injury signature characterized by immune activation, oxidative stress and extracellular matrix remodeling. We also identify the association of MMP7 and MMP9 expression with stone disease and mineral deposition, respectively. MMP7 and MMP9 are significantly increased in the urine of patients with CaOx stone disease, and their levels correlate with disease activity. Our results define the spatial molecular landscape and specific pathways contributing to stone-mediated injury in the human papilla and identify associated urinary biomarkers.

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Project description:Kidney stone disease is influenced by multiple factors, including but not limited to age, gender, genetic background, hydration status, diet and drug. Regarding the gender, epidemiologic data across the world has shown that females at the reproductive age (15-49 years) have lower incidence/prevalence of kidney stone disease approximately 1.5-2.5 folds as compared to males at the same age. However, this gap is narrower in the postmenopausal age, whereas the postmenopausal females with higher serum estrogen levels are less likely to have kidney stones. Furthermore, female stone formers (patients with kidney stones) are associated with lower estrogen levels. Therefore, estrogen has been proposed to serve as the protective hormone against kidney stone disease. However, the precise mechanisms underlying such protective effects of estrogen remain unclear and require further investigations. This study thus investigated the effects of estradiol (which is the most prevalent and potent form of estrogen in females at the reproductive age) on cellular proteome of renal tubular cells using a proteomics approach.

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A Blood-based Multi-omic Landscape for the molecular characterization of Kidney Stone Disease

Project description:Kidney stone disease (KSD, also named renal calculi, nephrolithiasis, or urolithiasis) is a common urological disease entailing the formation of minerals and salts that form inside the urinary tract, frequently caused by diabetes and high blood pressure, hypertension, and monogenetic components in most patients. 10% of adults worldwide are affected by KSD, which incidence continues to be highly prevalent and increasing. For the identification of novel therapeutic targets in KSD to deal with this situation, we adopted high-throughput sequencing and mass spectrometry (MS) techniques in this study and carried out an integrative analysis of exosome proteome and DNA methylation data from blood samples of normal and KSD patients. Our study described the profiling of serum exosome and DNA methylation in blood from both normal individuals and those with Kidney Stone Disease (KSD), finding the overexpressed proteins and the demethylated DNA genes in KSD samples are related to immune reactions. The consistency of the results in proteomics and epigenetics supports the feasibility of the comprehensive strategy. Our understanding of the molecular landscape of KSD provides an opportunity for more information on the pathogenic mechanism, precise diagnosis, and treatment for KSD.

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Project description:We adopted high-throughput sequencing and mass spectrometry (MS) techniques in this study and carried out an integrative analysis of exosome proteome and DNA methylation data from blood samples of normal and Kidney stone disease patients to screen biomarkers.

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