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| Status |
Public on Dec 14, 2019 |
| Title |
Comparison of Kidney Transcriptomic Profiles of Early and Advanced Diabetic Nephropathy Reveals Potential New Mechanisms for Disease Progression |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
To identify the factors mediating the progression of di- abetic nephropathy (DN), we performed RNA sequencing of kidney biopsy samples from patients with early DN, advanced DN, and normal kidney tissue from nephrectomy samples. A set of genes that were upregulated at early but downregulated in late DN were shown to be largely renoprotective, which included genes in the retinoic acid pathway and glucagon-like peptide 1 receptor. Another group of genes that were downregulated at early but highly upregulated in advanced DN consisted mostly of genes associated with kidney disease pathogenesis, such as those related to immune response and fibrosis. Correlation with estimated glomerular filtration rate (eGFR) identified genes in the pathways of iron transport and cell differentiation to be positively associated with eGFR, while those in the immune response and fibrosis pathways were negatively associated. Correlation with various histopathological features also identified the association with the distinct gene ontological pathways. Deconvolution analysis of the RNA sequencing data set indicated a significant increase in monocytes, fibroblasts, and myofibroblasts in advanced DN kidneys. Our study thus provides potential molecular mechanisms for DN progression and association of differential gene expression with the functional and structural changes observed in patients with early and advanced DN.
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| Overall design |
A total of 28 patients with biopsy-proven DN hospitalized from January 2015 to December 2016 in Shanghai Jiao Tong University Affiliated Sixth People’s Hospital were enrolled in the study. Nine control human kidney samples were obtained from the unaffected portion of tumor nephrectomies. RNA-seq was performed on 28 DN and 9 control samples.
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| Contributor(s) |
Fan Y, Yi Z, Zhang W, Lee K, He JC |
| Citation(s) |
31578193, 32086290 |
| |
| Submission date |
Dec 13, 2019 |
| Last update date |
Jul 27, 2020 |
| Contact name |
Weijia Zhang |
| E-mail(s) |
weijia.zhang@mssm.edu
|
| Organization name |
Icahn School of Medicine at Mount Sinai
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| Department |
Renal
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| Lab |
Bioinfomatics
|
| Street address |
1 Gustave L. Levy Pl
|
| City |
New York |
| State/province |
NY |
| ZIP/Postal code |
10029 |
| Country |
USA |
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| Platforms (1) |
| GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
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| Samples (36)
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| Relations |
| BioProject |
PRJNA595590 |
| SRA |
SRP237545 |
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