Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Drug metabolite identification is an essential characterization process spanning multiple phases of drug discovery and development. Various data processing techniques have been employed in metabolite identification using high-resolution mass spectrometry. However, metabolite identification is not consistent among approaches. Thus, a more comprehensive approach to drug metabolite identification is required. This paper proposes two-dose difference in conjunction with stable isotope tracing (SIT) to identify pioglitazone (PIO) metabolites. The results of this study revealed thatincubating both native and isotope-labeled PIOs in the same tube led to more stable metabolite identification compared with separated incubation. Our approach offers a high accuracy rate in metabolite identification, with approximately 70 % of metabolites validated as potential PIO metabolites. We compared our developed approach with other 3 approaches, namely the dose-response technique coupled with SIT, mass defect filter coupled with SIT, and orthogonal partial least squares-discriminant analysis. The results revealed that our developed approach was able to identify not only all the potential PIO metabolites identified by the other 3 approaches but also additional metabolites. These results suggest that two-dose difference coupled with SIT is an effective and comprehensive approach for drug metabolite identification.
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http://dx.doi.org/10.1016/j.talanta.2024.127209 | DOI Listing |