Project description:We report the expression of microRNAs in renal biopsies from patients with IgA nephropathy (progressive form and non progressive form), membranous and thin membrane nephropathies
Project description:We have performed a microRNA expression analysis in urine sediments from 18 IgAN patients, 6 healthy subjects and 8 disease controls(including 4 membranous nephropathy patients and 4 minimal change disease patients). Pathologic diagnosis of all IgAN patients was included in grades I–V by light microscopy according to the grading system of Lee et al. And we have identified a set of deregulated microRNAs with potential diagnostic value to identify patients with IgAN.
Project description:The goal of the project was to identify risk alleles that are associated with recurrence of membranous nephropathy in the graft after kidney transplantation. First, we sequenced PLA2R1 and HLA-D loci in 248 patients with primary membranous nephropathy and identified two independent single nucleotide polymorphisms (SNPs) at risk for primary membranous nephropathy at each locus. Then we investigated whether primary membranous nephropathy at-risk variants were associated with recurrence in a retrospective cohort of 105 donor-recipient pairs and a replication cohort of 40 pairs.
Project description:Background: Minimal change nephrotic syndrome (MCNS) is considered to be associated with T cell dysfunction, via unknown mechanisms. Experimental observations suggest that some humoral factors alter the permeability of glomerular filtration barrier. However, the nature of such factors remains still uncertain. Methods: Using cDNA microarrays, we performed gene expression profiling of peripheral blood mononuclear cells (PBMC) from three patients with MCNS during nephrosis and remission phases. To confirm the cDNA microarray results, we performed quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR) analyses in nephrosis and remission samples from 20 MCNS patients and six patients with nephrotic syndrome due to membranous nephropathy. Results: Out of 24,446 genes screened, 33 genes were up-regulated (at least 1.5-fold) in PBMC from these MCNS patients during the nephrosis phase. Up-regulated genes mainly encoded proteins involved in signal transduction and cytokine response. For further examination, we selected two genes encoding provable secretary proteins, chemokine (C-C) ligand 13 (also known as monocyte chemotactic protein-4) (CCL13) and a novel galectin-related protein (HSPC159). The results of RT-PCR showed that expressions of CCL13 and HSPC159 mRNA in nephrosis PBMC samples are higher than those in remission PBMC samples from all 20 MCNS patients examined. On the other hand, these mRNA expression patterns were variable among six patients with membranous nephropathy. Conclusions: We conclude that CCL13 and HSPC159 mRNA expressions in PBMC is up-regulated in MCNS patients during the nephrosis phase. These expression changes in PBMC might be involved in the pathophysiologic processes of MCNS. Using cDNA microarrays, we performed gene expression profiling of peripheral blood mononuclear cells (PBMC) from three patients with MCNS during nephrosis and remission phases. To confirm the cDNA microarray results, we performed quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR) analyses in nephrosis and remission samples from 20 MCNS patients and six patients with nephrotic syndrome due to membranous nephropathy.
Project description:We profiled manually microdissected tubulointerstitial tissue from 43 IgA nephropathy, 3 diabetes mellitus nephropathy, 3 focal segmental glomerulosclerosis, 3 lupus nephritis, 4 membranous nephropathy, and 9 minimal change disease biopsy cores and 22 nephrectomy controls by RNA sequencing. The 3 outliers which were not included in our main analysis were also uploaded in this database.
Project description:Discriminating between diabetic nephropathy (DN) and non-diabetic renal disease (NDRD) can help provide more specific treatments. However, there are no ideal biomarkers for their differentiation. Thus, the aim of this study was to identify biomarkers for diagnosing and predicting the progression of DN by investigating different salivary glycopatterns. LC-MS/MS were used to screen different glycopatterns in patients with DN or NDRD. Bioinformatics analyses were used to identify corresponding glycoproteins and predict their function
