Oral and gut microbiota after acromegaly treatment: prospective assessment and insights from machine learning
Authors' conclusion
Oral and fecal microbiota compositions in patients with acromegaly significantly change with treatment modalities and remission status with some taxa correlating with IGF-1 normalization. The findings provide preliminary evidence that microbiota may help predict treatment response. Further studies with larger patient populations are needed to validate the results.
Study context
- Population
- Newly diagnosed acromegaly patients; 10 female (52.6%); mean age 48.8 ± 12.1 years
- Participants
- 19 participants
- Exposure
- Oral and fecal microbiota before vs one year after acromegaly treatment, by treatment modality and remission status
- Group 1n = 7
- Group 2n = 7
- Group 3n = 5
- Outcome
- Oral and fecal microbiota (16S rRNA sequencing)
- Follow-up
- Before and one year post-treatment
Methodological detailsmachine learning
- Machine learning
Main finding
As reported in the abstract
before and one year post-treatment
- Alpha and beta diversities were similar but microbial compositions differed significantly among the groups
- Microbiota profiles changed significantly in prospective analyses of Group 1 and combined Groups 1 and 2
- In Group 1, decrease in IGF-1 correlated positively with oral Succinivibrio
- Classification model using baseline microbiota accurately distinguished between the groups and identified patients with complete remission after surgery alone
Observational data: associations, not effects.
Original publication
Oral and gut microbiota after acromegaly treatment: prospective assessment and insights from machine learning. Pituitary. Published 29 December 2025. doi:10.
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