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: 3122
Function: getPubMedXML
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
Gene expression profiling has emerged as a powerful strategy to define transcriptional mechanism activated in organ transplantation. We performed a pilot feasibility study of mRNA-based pancreas transplant biopsy stratification. The mRNAs expression of 32 genes, observed in renal transplant dysfunction, and 10 pancreas-specific genes were evaluated in 26 pancreas transplant biopsy specimens by quantitative real-time polymerase chain reaction using TaqMan Low Density Array technology. Unsupervised 2D hierarchical clustering segregated the biopsies in two main cluster branches, A and B. Six of seven patients (85.7%) in cluster A and 6 of 19 (31.6%) in cluster B retained functioning pancreas allograft. CD20/MS4A1 mRNA and protein, in addition to CD 3 protein, were detected in four specimens in cluster B. Three of those four pancreas transplants were subsequently lost. Our study demonstrates the potential association of gene expression with clinical outcome of pancreas transplants and justifies further studies in an independent cohort.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4083470 | PMC |
http://dx.doi.org/10.1097/TP.0b013e31818c8fbf | DOI Listing |
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