Project description:Genome wide DNA methylation profiling of urine and blood samples from patients with diabetic chronic kidney disease. The Illumina Infinium MethylationEPIC BeadChip kit was used to obtain DNA methylation profiles across approximately 850,000 CpGs. Samples included two urine and four buffy coat samples from adults with diabetic chronic kidney disease.
Project description:Kidney transplantation is the treatment of choice for patients with end-stage chronic kidney disease (ESKD). Despite the usefulness of transplantation as replacement therapy, long-term graft survival represents a major challenge for transplant immunology. Although nowadays there has been an advance in understanding immunological mechanisms mediating rejection, and the improvement of immunomodulation therapies, there are still underlying molecular processes marking an important variability among patients, and presumably influencing allograft rejection. With our analysis we explored differences in gene expression by Next Generation Sequencing implementing RNA-Seq in biopsies, blood and urine from kidney transplant patients with acute and chronic rejection. For this, we performed an intra-outcome analysis simultaneously in acute and chronic rejection, with which we sought: 1. To identify differences in gene expression between peripheral blood vs renal tissue and peripheral blood vs urine in acute rejection and chronic rejection; 2. To identify the level of agreement in gene expression between renal tissue and urine in acute rejection and chronic rejection and 3. To identify genes and biological processes associated with acute rejection and chronic rejection that could be potentially detected in blood, and simultaneously in urine and biopsy in acute rejection and in chronic rejection.
Project description:Understanding gut bacterial composition and proteome changes in patients with early-stage chronic kidney disease (CKD) could lead to better methods of controlling the disease progression. Here, we investigated the gut microbiome and microbial functions in patients with S. stercoralis infection (strongyloidiasis) and early-stage CKD.
2024-09-07 | PXD045189 | JPOST Repository
Project description:Oral microbiome analysis of young patients with chronic kidney disease
Project description:Urinary proteomics studies have primarily focused on identifying markers of chronic kidney disease (CKD) progression. Here, we aimed to specify CKD-related injury markers through proteomics analysis in urine of patients with CKD. Label-free quantitative proteomics analysis based on liquid chromatography-tandem mass spectrometry was performed on urine samples obtained from 6, 9, 11, and 10 patients in health control, CKD stage 1, 3 and 5, respectively.
Project description:Urinary proteomics studies have primarily focused on identifying markers of chronic kidney disease (CKD) progression. Here, we aimed to specify CKD-related injury markers through proteomics analysis in urine of patients with CKD. Label-free quantitative proteomics analysis based on liquid chromatography-tandem mass spectrometry was performed on urine samples obtained from 6, 9, 11, and 10 patients in health control, CKD stage 1, 3 and 5, respectively.
Project description:The rat sub-total nephrectomy (SNx) is a functional model of chronic kidney disease (CKD), where the main pathological driver is glomerular hypertension. Comprehensive transcriptomics and proteomics analyses on the rat SNx model were performed to identify biomarkers in plasma or urine that correlate with kidney disease and functional kidney loss. Kidneys were subjected to collagen I and III staining for fibrosis scoring, SWATH proteomics and bulk RNA-sequencing transcriptomics (RNA-seq), with SWATH also performed on plasma and urine. Differential expression analysis demonstrated significant dysregulation of genes and proteins involved in fibrosis, metabolism, and immune response in the SNx rats compared to controls. Gene ontology analysis of the intersecting genes and proteins from both studies demonstrated common biology between animal cohorts that reached the predefined kidney disease thresholds (serum creatinine >2-fold or proteinuria >3-fold increase over sham-operated). Thirteen significantly differential molecules were detected with consistent directional changes in both transcriptomics and proteomics datasets. These molecules were detected independently in kidney (both RNA and protein) and urine (protein only), but not in plasma. The bioinformatics analysis enabled the identification of mechanistic CKD biomarkers including lumican and collagen alpha-1(III) chain, whose co-expression has previously been both implicated in fibrosis and detected in urine in CKD patients.
Project description:The rat sub-total nephrectomy (SNx) is a functional model of chronic kidney disease (CKD), where the main pathological driver is glomerular hypertension. Comprehensive transcriptomics and proteomics analyses on the rat SNx model were performed to identify biomarkers in plasma or urine that correlate with kidney disease and functional kidney loss. Kidneys were subjected to collagen I and III staining for fibrosis scoring, SWATH proteomics and bulk RNA-sequencing transcriptomics (RNA-seq), with SWATH also performed on plasma and urine. Differential expression analysis demonstrated significant dysregulation of genes and proteins involved in fibrosis, metabolism, and immune response in the SNx rats compared to controls. Gene ontology analysis of the intersecting genes and proteins from both studies demonstrated common biology between animal cohorts that reached the predefined kidney disease thresholds (serum creatinine >2-fold or proteinuria >3-fold increase over sham-operated). Thirteen significantly differential molecules were detected with consistent directional changes in both transcriptomics and proteomics datasets. These molecules were detected independently in kidney (both RNA and protein) and urine (protein only), but not in plasma. The bioinformatics analysis enabled the identification of mechanistic CKD biomarkers including lumican and collagen alpha-1(III) chain, whose co-expression has previously been both implicated in fibrosis and detected in urine in CKD patients.
Project description:Controlling the progression of chronic kidney disease (CKD) at an early stage is critical for reducing disease severity. A cross-sectional study of chronic kidney disease (CKD) patients at all stages with S. stercoralis infection found that helminth infection caused gut dysbiosis, which may be involved in CKD progression. Because of the variation of gut microbiome results with helminth infection, the cross-sectional study of 16S rRNA sequencing, therefore, is insufficient to draw valid conclusions and correct the effects of S. stercoralis on the early stages of CKD. Combination with other omics approach is warrant to be better understand the disease.
