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Abstract: TH-OR37

Predictors of the Plasma and Fecal Metabolomes in CKD: The CRIC Gut Study

Session Information

Category: CKD (Non-Dialysis)

  • 2301 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention

Authors

  • Anderson, Amanda Hyre, The University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, United States
  • Baudier, Robin Leigh, Oregon Health & Science University, Portland, Oregon, United States
  • Bai, Shuo, Tulane University, New Orleans, Louisiana, United States
  • Li, Hongzhe, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States
  • Wu, Gary, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States

Group or Team Name

  • The CRIC Study.
Background

The importance of kidney function and gut microbiota relative to other clinical and behavioral factors in predicting the plasma and fecal metabolomes is unclear in CKD.

Methods

Among N=291 adults in the Chronic Renal Insufficiency Cohort (CRIC) Gut Study, we used random forest models to determine relative predictive power of clinical factors, kidney measures, diet, environmental factors, gut microbiota, and the fecal metabolome in explaining the plasma and fecal metabolomes and individual metabolite levels in CKD.

Results

The fecal metabolome and clinical factors best predicted variance in the entire plasma metabolome, while kidney measures (eGFR and proteinuria) had the highest median explained variance for individual plasma metabolites, in particular, several nucleobases and amino acids (Fig 1). By contrast, gut microbiome pathways outperformed any feature to explain variance in the fecal metabolome (Fig 2).

Conclusion

The gut microbiome strongly predicts the fecal metabolome which, in addition to kidney measures, explains the majority of variability in the plasma metabolome in CKD potentially through dysbiosis, disruption of gut barrier function, and/or reduced renal clearance of gut-derived metabolites.

Funding

  • NIDDK Support