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
Diagnostic and monitoring for drug-induced liver injury (DILI) predominantly rely on serum aminotransferases. However, owing to their widespread expression across multiple organs, a significant challenge emerges from the absence of reliable biomarkers for DILI diagnosis. Herein, we introduce a concept for DILI detection, circumventing the nonspecific elevation and delayed release of aminotransferases and then straightforwardly focusing on the core feature of DILI, abnormal gene expression caused by drug overdose. The developed full-scale platform integrates the properties of spherical nucleic acids with elaborately designed fluorescence hybridization sequences, enabling the sensitive and specific profiling of drug-overdosed miR-122 expression alterations across molecular, cellular, organismal, and clinical scales and effectively bypassing the phenotypic features of disease. Furthermore, the diagnostic efficacies of serum and total RNA extracted from both mouse and human blood samples for DILI diagnosis were analyzed using the receiver operating characteristic curve and principal component analysis. We anticipate that this universal platform holds potential in facilitating DILI diagnosis, therapeutic evaluation, and prognosis.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1021/acsnano.4c05081 | DOI Listing |
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