Comprehensive Multi-omics Approach to Investigate the Association Between Metabolic Syndrome and Pituitary Neuroendocrine Tumor Risk in UK Biobank: A Cohort Study
Main finding · Incident PitNETResult — go to the resultHazard ratio 1.57 95% CI 1.28–1.93Authors' conclusion
These findings support an association of MetS and PitNET pathogenesis.
Study context
- Population
- UK Biobank participants with complete metabolic syndrome (MetS) data and no prior pituitary neuroendocrine tumor (PitNET) at baseline
- Participants
- 355,139 participants
- Exposure
- MetS vs no MetS
- MetSn = 135,686
- Outcome
- Incident pituitary neuroendocrine tumor (PitNET)
- Follow-up
- Median 13.0 years
Methodological detailsbidirectional Mendelian randomization, multi-omics, machine learning, single-cell transcriptomic analyses
- Bidirectional Mendelian randomization
- Multi-omics
- Machine learning
- Single-cell transcriptomic analyses
Main finding
Incident PitNET
Hazard ratio
1.57
95% CI 1.28–1.93
MetSvs No MetS
HR 1.57 (95% CI 1.28–1.93)
As reported in the abstract
- PitNET cases among participants with MetS
- 392
Observational data: associations, not effects.
Further findings
| Outcome | OR (95% CI) | P value | |
|---|---|---|---|
| Mendelian randomization: causal effect of MetS on PitNET riskSuggestive evidence | 1.38 (1.04–1.88) | P = 0.041 | |
| 0.512Odds ratio (log scale) |
- Mendelian randomization: causal effect of MetS on PitNET risk — No evidence of reverse causation
- P > .05
Multi-omics, machine learning and single-cell analyses
- Pronounced cellular heterogeneity across PitNET subtypes and tumor microenvironment, with enrichment of metabolic pathways including cholesterol, lipid and glutamine metabolism; validated in clinical cohorts
Original publication
Comprehensive Multi-omics Approach to Investigate the Association Between Metabolic Syndrome and Pituitary Neuroendocrine Tumor Risk in UK Biobank: A Cohort Study. Endocr Pract. Published 23 July 2026. doi:10. 1016/ j. eprac. 2026. 07. 015
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