Inflammatory bowel diseases (IBDs) are complex immune disorders that arise at the intersection of genetic susceptibility, environmental exposures, and dysbiosis of the gut microbiota. Our understanding of the role of the microbiome in IBD has greatly expanded over the past few decades, although efforts to translate this knowledge into precision microbiome-based interventions for the prevention and management of disease have thus far met limited success. Here we survey and synthesize recent primary research in order to propose an updated conceptual framework for the role of the microbiome in IBD. We argue that accounting for gut microbiome context — elements such disease regionality, phase of disease, diet, medication use, and patient lifestyle — is essential for the development of a clear and mechanistic understanding of the microbiome’s contribution to pathogenesis or health. Armed with better mechanistic and contextual understanding, we will be better prepared to translate this knowledge into effective and precise strategies for microbiome restitution.
Megan S. Kennedy, Eugene B. Chang
Usage data is cumulative from September 2025 through May 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 4,785 | 207 |
| 1,003 | 80 | |
| Figure | 883 | 0 |
| Table | 135 | 0 |
| Citation downloads | 165 | 0 |
| Totals | 6,971 | 287 |
| Total Views | 7,258 | |
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.