Targeted And Controlled Drug Delivery Approaches In The Management Of Gastroesophageal Reflux Disease
Abstract
Gastroesophageal reflux disease (GERD) is a chronic gastroenterological disorder resulting from the backward flow of gastric contents into the esophagus, clinical manifestations of which may include heartburn and regurgitation, with complications including erosive esophagitis and Barrett’s esophagus. While proton pump inhibitors (PPIs) are broadly used as first-line, limitations around incomplete symptom relief and long-term dependence illustrate the need for better treatment strategies. Controlled delivery systems for targeted drugs are a novel approach to increase drug stability and long-term gastric residence time, site-specific action, and prolong therapeutic effects of the system. It has been established that various systems including mucoadhesive formulations, pH-responsive carriers, raft-forming systems, gastroretentive drug delivery systems and nanotechnology-based carriers, are able to achieve higher bioavailability on GERD management which leads to therapeutic efficacy enhancement and patient compliance improvement.
Read the paper
Related studies
- Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study
- Treatment and prognostic factors for long-term outcome in patients with anti-N-Methyl-D-Aspartate (NMDA) receptor encephalitis: a cohort study
- Effectiveness of mRNA BNT162b2 COVID-19 vaccine up to 6 months in a large integrated health system in the USA: a retrospective cohort study
- Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study
- Ethnic and socioeconomic differences in SARS-CoV-2 infection: prospective cohort study using UK Biobank
- Timing of high-efficacy therapy for multiple sclerosis: a retrospective observational cohort study
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.