Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: The degree of renal scarring in kidney biopsy is an important prognostic factor in patients with chronic kidney diseases. We hypothesize that gene expression in the urinary sediment reflects the degree of renal damage.
Methods: We studied 29 patients with chronic kidney disease who underwent kidney biopsy (12 immunoglobulin-A nephropathy and 17 glomerulosclerosis) and 10 healthy controls. The mRNA expressions of a panel of target genes in urinary sediment were measured by real-time quantitative polymerase chain reaction. The results were compared with the degree of histological damage and renal function decline.
Results: There were significant differences in the urinary expression of transforming growth factor-beta (TGF-beta), monocyte chemotactic protein-1 (MCP-1) and collagen IV between disease groups and controls. Urinary TGF-beta mRNA expression correlated significantly with estimated glomerular filtration rate (r = -0.412, P = 0.029) and the degree of tubulointerstitial scarring (r = 0.418, P = 0.024). Urinary MCP-1 expression correlated with the degree of glomerulosclerosis (r = 0.450, P = 0.014), but not tubulointerstitial scarring. Urinary MCP-1 expression correlated with its corresponding level by enzyme-linked immunosorbent assay (ELISA) (r = 0.650, P<0.001), but TGF-beta expression did not correlate with its ELISA level. Urinary TGF-beta gene expression correlated with its intra-renal expression in glomeruli (r = 0.701, P<0.001) and tubulointerstitium (r = 0.573, P = 0.001) by immunohistochemistry, while urinary MCP-1 gene expression correlated with its staining in glomeruli (r = 0.576, P = 0.001) but not tubulointerstitium. After 12 months, there was a significant inverse correlation between the rate of renal function decline and urinary expression of connective tissue growth factor (r = -0.471, P = 0.010) and collagen I (r = -0.399, P = 0.032), but not TGF-beta or MCP-1.
Conclusions: Amongst the target genes examined, the mRNA expression of TGF-beta in urinary sediment correlated with renal function, the degree of histological damage and intra-renal level in patients with chronic kidney diseases. Measurement of TGF-beta mRNA expression in urine may be a useful non-invasive tool for assessing the severity of renal damage in patients with chronic kidney diseases.
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http://dx.doi.org/10.1093/ndt/gfh574 | DOI Listing |
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