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
Objective: To predict the microRNAs (miRNAs) related to cardiovascular diseases.
Methods: Bioinformatics was used to find all cardiovascular disease related and cardiovascular function related protein-coding genes, and miRNAs were identified that localized the same transcription units as the above genes. Then other cardiovascular disease related miRNAs were identified by an miRNAs set and family analysis and Gene Ontology(GO).
Results: Twenty potential cardiovascular disease related miRNAs were predicted from 626 cardiovascular disease related miRNAs, five of which had been confirmed by experiments.
Conclusion: This study is of great help for the diagnosis and research of cardiovascular diseases, but the final conclusion need to be confirmed by experiments.
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