The Role of Microbiota and Fecal Transplantation in Inflammatory Bowel Disease
Abstract
1. Introduction
2. Materials and Methods
2.1. Eligibility Criteria
2.2. Study Selection and Data Extraction
2.3. Quality Assessment
2.4. Use of Artificial Intelligence Tools
3. Results
3.1. Search Results and Study Selection
3.2. Microbiota Alterations in Inflammatory Bowel Disease
3.2.1. Microbial Diversity Changes
3.2.2. Shared Taxonomic Shifts in UC and CD
3.2.3. Differential Microbiota Patterns in UC and CD
3.2.4. Microbial Signatures Associated with Disease Activity, Phenotype, and Complications in IBD
3.2.5. Preclinical Microbiota Signatures
3.2.6. Phenotype-Related Associations
3.2.7. Treatment Response and Relapse Prediction
3.2.8. Biological Therapy and Microbiota Alterations
3.2.9. Gut Virome
3.2.10. Mycobiome
3.2.11. Metabolites and Pathogen-Host Interactions
3.3. Fecal Microbiota Transplantation and Pathogen Modulation
3.3.1. Efficacy of FMT in Ulcerative Colitis
3.3.2. Efficacy of FMT in Crohn’s Disease
3.3.3. Safety and Pathogen Transmission
4. Discussion
4.1. Clinical and Translation Implications
4.1.1. Clinical Implications
4.1.2. Translational Implications
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| 16S rRNA | 16S ribosomal RNA |
| AIEC | adherent-invasive Escherichia coli |
| AUC | area under the curve |
| CD | Crohn’s disease |
| CI | confidence interval |
| CRP | C-reactive protein |
| ddPCR | droplet digital polymerase chain reaction |
| fCP | fecal calprotectin |
| FMT | fecal microbiota transplantation |
| FMT-A | autologous fecal microbiota transplantation |
| FMT-D | donor fecal microbiota transplantation |
| FXR | farnesoid X receptor |
| HR | hazard ratio |
| IBD | inflammatory bowel disease |
| IL-12/23 | interleukin-12/23 |
| ITT | intention-to-treat |
| JAK | Janus kinase |
| MeSH | Medical Subject Headings |
| NF-κB | nuclear factor kappa B |
| NOS | Newcastle–Ottawa Scale |
| NR | not reported |
| OR | odds ratio |
| PCoA | principal coordinates analysis |
| PERMANOVA | permutational multivariate analysis of variance |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| PSC | primary sclerosing cholangitis |
| R2 | coefficient of determination |
| RCT | randomized controlled trial |
| RoB | risk of bias |
| SAE | serious adverse event |
| SCFA | short-chain fatty acid(s) |
| S1P | sphingosine-1-phosphate |
| TET | transendoscopic enteral tubing |
| TGR5 | Takeda G-protein–coupled receptor 5 (GPBAR1) |
| TNF | tumor necrosis factor |
| UC | ulcerative colitis |
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| Feature | Comparison | UC | CD |
|---|---|---|---|
| Alpha diversity | |||
| Reduction | Tendency toward greater reduction in CD. | Frequently reduced versus healthy controls. | Frequently reduced versus healthy controls; often lowest in ileal CD and postoperative recurrence settings. |
| Beta diversity | |||
| Separation from controls/community structure | Clear separation from controls is common in both. | Most studies reported distinct clustering from healthy controls. | Most studies reported distinct clustering from healthy controls. |
| Phylum-level changes | |||
| Firmicutes depletion/butyrate producers | Shared depletion in UC and CD. | Frequent depletion of Firmicutes and other butyrate-associated taxa. | Frequent depletion of Firmicutes and butyrate producers, often more marked in ileal disease |
| Proteobacteria/Enterobacteria expansion | Shared expansion linked to inflammation; signal more frequent in CD. | Frequent enrichment, particularly with active disease. | Frequent enrichment, often more pronounced in active and ileal CD. |
| Key depleted taxa | |||
| F. prausnitzii | Among the most reproducible depleted taxa in both diseases. | Frequently reduced; lower abundance often tracked active inflammation and less favorable trajectories. | Frequently reduced; depletion was often highlighted in ileal CD, postoperative disease, and active inflammation. |
| Roseburia spp. | Shared depletion; no clear disease-specific predominance. | Frequently reported. | Frequently reported. |
| Clostridium clusters IV/XIVa | Shared depletion, with a possible trend toward greater depletion in CD. | Frequently reported. | Frequently reported, possibly more pronounced. |
| Key exapanded taxa | |||
| Escherichia coli | Expanded in both UC and CD; evidence suggests greater prominence in CD. | Frequently reported. | Frequently reported; often more prominent in CD, particularly in inflammatory and ileal phenotypes. |
| E. coli magnitude | Available studies suggest higher abundance in CD than UC. | Increased vs. controls. | Increased vs. controls, with a trend toward higher abundance. |
| Fusobacterium spp. | Best interpreted as a context-dependent inflammatory signal rather than a robust UC/CD discriminator. | Reported in a subset of studies. | Reported in a subset of studies. |
| Enterococcus spp. | Expanded in both diseases, with a possible trend toward greater frequency in CD | Reported in a subset of studies. | Reported in a subset of studies, possibly more frequent. |
| Disease specific signals | |||
| AIEC E. coli | E. coli enrichment occurs in both; AIEC signal is much more characteristic of CD. | E. coli enrichment is reported. | E. coli enrichment is recurrent, and AIEC-related signals are more prominent than in UC. |
| R. gnavus enrichment | Phenotype-linked signal; not disease-defining | Some UC cohorts reported enrichment, particularly in active inflammation. | Also reported in CD. |
| Bacteroides fragilis depletion | Strain-specific; depletion of protective B. fragilis appears more consistent in CD. | Reduced in a subset of studies. | More consistently reduced. |
| Muccus associated taxa (e.g., Akkermansia muciniphila depletion) | Altered in both; evidence suggests a stronger signal in CD. | Reduced in a subset of studies. | Reduced in a subset of studies. |
| Campylobacter spp. enrichment | Not a robust disease discriminator. | Reported in a minority of studies. | Reported in a minority of studies. |
| Functional alterations | |||
| Reduced SCFA-producing capacity | Shared functional consequence of dysbiosis in UC and CD, with possible greater impairment in CD | Reported in a subset of studies; butyrate-related impairment recurrent | Reported in a subset of studies; butyrate-related impairment recurrent, possibly more pronounced |
| Bile acid metabolism disruption | Evidence is stronger in CD, especially ileal disease. | Reported in UC, but less consistently. | More consistently disturbed, particularly in ileal disease. |
| Clinical associations | |||
| Association with activity/biomarker | Dysbiosis tracks mucosal inflammation in both diseases. | Active disease is generally associated with lower diversity, loss of commensals, and enrichment of facultative/pathobiont taxa. | Active disease shows the same pattern, often with stronger Enterobacteriaceae/AIEC-related signals. |
| Relapse prediction | Exploratory signal only; not ready for stand-alone use. | Higher diversity and commensal-enriched states were linked to better outcomes in a subset of studies. | Similar exploratory findings were reported in postoperative and biologic-response settings. |
| Study, Year | Design, N | Core Protocol | Main Result | Key Notes |
|---|---|---|---|---|
| Ulcerative colitis (UC) | ||||
| Rossen, 2015 | RCT, n = 48 | Nasoduodenal; 2 doses | No significant benefit vs. autologous stool | Early negative study. Highlights route/protocol limitations |
| Moayyedi, 2015 | RCT, n = 75 | Enema; 6 weekly doses | Clinical/endoscopic remission 24% vs. 5% | First positive RCT. weekly enemas effective. |
| Paramsothy, 2017 | RCT, n = 81 | Colonoscopy + intensive enemas over 8 weeks | Steroid-free clinical/endoscopic remission 27% vs. 8%, | Landmark intensive multidonor UC trial |
| Costello, 2019 | RCT, n = 73 | Colonoscopy + enemas over 8 weeks | Clinical/endoscopic remission: 32% vs. 9% | Key trial supporting multidose lower-GI delivery. Anaerobic preparation. |
| Haifer (LOTUS), 2022 | RCT, n = 35 | Oral lyophilized FMT after antibiotic pretreatment | Clinical remission/repsonse week 8 53% vs. 15% | Oral capsules strategy |
| Lahtinen, 2023 | RCT, n = 48 | Single colonoscopic FMT for maintenance in quiescent UC | Primary endpoint 54% vs. 41%, not significant | Maintenance study |
| Crohn’s disease (CD) | ||||
| Vaughn, 2016 | Prospective cohort, n = 19 NOS 7/9 | Repeated colonoscopic FMT; 12 weekly doses | Clinical remission 58% (11/19) | Repeated dose CD cohort. Includes donor-like microbiota shift |
| Li, 2019 | Prospective cohort, n =32 | Repeated colonoscopic FMT | Clinical response: 56% (18/32). Median sustained benefit ~4 m. | Durability and need for repeat FMT |
| Kao, 2024 | RCT, n = 32 | Colonoscopic FMT + weekly oral capsules for 7 weeks | Combined clinical/endoscopic response: 0 vs. 8.3%, not significant | CD randomized evidence |
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Lagos, I.; Pérez de Arce, E.; Faggiani, I.; D’Amico, F.; Zilli, A.; Furfaro, F.; Massironi, S.; Cicerone, C.; Solitano, V.; Parigi, T.L.; et al. The Role of Microbiota and Fecal Transplantation in Inflammatory Bowel Disease. Pathogens 2026, 15, 451. https://doi.org/10.3390/pathogens15040451
Lagos I, Pérez de Arce E, Faggiani I, D’Amico F, Zilli A, Furfaro F, Massironi S, Cicerone C, Solitano V, Parigi TL, et al. The Role of Microbiota and Fecal Transplantation in Inflammatory Bowel Disease. Pathogens. 2026; 15(4):451. https://doi.org/10.3390/pathogens15040451
Chicago/Turabian StyleLagos, Isabel, Edith Pérez de Arce, Ilaria Faggiani, Ferdinando D’Amico, Alessandra Zilli, Federica Furfaro, Sara Massironi, Clelia Cicerone, Virginia Solitano, Tommaso Lorenzo Parigi, and et al. 2026. "The Role of Microbiota and Fecal Transplantation in Inflammatory Bowel Disease" Pathogens 15, no. 4: 451. https://doi.org/10.3390/pathogens15040451
APA StyleLagos, I., Pérez de Arce, E., Faggiani, I., D’Amico, F., Zilli, A., Furfaro, F., Massironi, S., Cicerone, C., Solitano, V., Parigi, T. L., Peyrin-Biroulet, L., Danese, S., & Allocca, M. (2026). The Role of Microbiota and Fecal Transplantation in Inflammatory Bowel Disease. Pathogens, 15(4), 451. https://doi.org/10.3390/pathogens15040451

