Historically, antiobesity medications have been modestly effective at best, with side-effect profiles that limit compliance and often preclude the long-term therapy required to maintain weight loss. Recently developed therapies based on analogs of the gut hormone glucagon-like peptide-1 (GLP-1) have transformed the medical management of obesity, leading both to a degree of weight loss that rivals bariatric surgery and a reduction in morbidity and mortality associated with obesity-related complications. GLP-1 receptor agonist (GLP-1RA) therapies were developed to mimic the peripheral effects of GLP-1, but it is now well established that their efficacy in the treatment of obesity depends on reducing energy intake through their action in the central nervous system (CNS). Recent data indicate that the aversive gastrointestinal side effects of GLP-1RAs are also CNS mediated. Although a complete understanding of the neural circuits underlying GLP-1RA–induced weight loss remains elusive, a great deal has been learned in recent years. This Review summarizes proposed gut-brain and central mechanisms through which GLP-1 and its synthetic analogs regulate food intake and bodyweight.
Lisa R. Beutler
Usage data is cumulative from January 2026 through June 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 9,417 | 1,188 |
| 1,596 | 353 | |
| Figure | 861 | 0 |
| Citation downloads | 221 | 0 |
| Totals | 12,095 | 1,541 |
| Total Views | 13,636 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.