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
Background: People with HIV (PWH) are living longer directly related to benefits of highly effective antiretroviral therapy (ART). However, concurrent with improved longevity is the growing prevalence of metabolic comorbidities that drive morbidity and mortality among PWH. There is an increasing repertoire of treatment options for metabolic disorders. Thus, it is important for clinicians to understand the drug-drug interactions (DDIs) between ART and treatments for metabolic disorders.
Areas Covered: This review will discuss DDIs between contemporary ART and agents used to treat metabolic syndrome (diabetes, dyslipidemia, obesity and hypertension). Literature review of published and unpublished data from manuscripts, conference proceedings, regulatory submissions, and drug prescribing information were conducted from the following sources: PubMed, Google, and Google Scholar through January 2024.
Expert Opinion: People with HIV have a high prevalence of metabolic disorders. Most significant DDIs between ART and treatments for metabolic disorders are unidirectional with ART as perpetrators, rather than victims, such that careful selection of ART with low DDI propensity can address the concern. However, there are data gaps with DDI data for long-acting ART as well as newer oral and injectable medications for diabetes and weight loss. Nanotechnology-based drug delivery platforms hold promise to address some problematic DDIs.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1080/17425255.2024.2401044 | DOI Listing |
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