Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: Network is unreachable
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: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
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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With growing interest in a biomarker-based approach for drug-drug interaction (DDI) predictions, creatinine, N1-methylnicotinamide (NMN), and N1-methyladenosine (mA) have been identified as endogenous substrates of organic cation transporter (OCT) 2 and multidrug and toxin extrusion (MATE) 1/2-K, though clinical validation remains limited. This study builds on recent advancements by evaluating these biomarkers retrospectively using samples from a clinical pharmacology study that assessed DDI via renal cationic transporters between fedratinib (inhibitor) and metformin (substrate) in healthy participants. Fedratinib reduced renal clearance for all endogenous substrates, with mA (38 %) and NMN (36 %) showing reductions comparable to metformin (40 %), while creatinine exhibited slightly lower (29 %), likely reflecting its limited contribution to transporter-mediated renal tubular secretion. Simulations focused on mA due to its favorable characteristics over NMN, particularly its minimal diurnal and intra-participant variability, demonstrating that reliable DDI assessments can still be achieved despite sampling constraints typical in oncology settings. Collectively, our study supports the predictive capabilities of endogenous substrates as biomarkers for renal cation transporter inhibition, with mA in particular showing promise for early DDI assessments in the Phase 1 studies.
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http://dx.doi.org/10.1016/j.xphs.2025.103776 | DOI Listing |