Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Remote effects of kidney drug transporter OAT1 on gut microbiome composition and urate homeostasis
Vladimir S. Ermakov, Jeffry C. Granados, Sanjay K. Nigam
Vladimir S. Ermakov, Jeffry C. Granados, Sanjay K. Nigam
View: Text | PDF
Research Article Nephrology

Remote effects of kidney drug transporter OAT1 on gut microbiome composition and urate homeostasis

  • Text
  • PDF
Abstract

The organic anion transporter OAT1 (SLC22A6, originally identified as NKT) is a multispecific transporter responsible for the elimination by the kidney of small organic anions that derive from the gut microbiome. Many are uremic toxins associated with chronic kidney disease (CKD). OAT1 is among a group of “drug” transporters that act as hubs in a large homeostatic network regulating interorgan and interorganismal communication via small molecules. The Remote Sensing and Signaling Theory predicts that genetic deletion of such a key hub in the network results in compensatory interorganismal communication (e.g., host-gut microbe dynamics). Recent metabolomics data from Oat1-KO mice indicate that some of the most highly affected metabolites derive from bacterial tyrosine, tryptophan, purine, and fatty acid metabolism. Functional metagenomic analysis of fecal 16S amplicon and whole-genome sequencing revealed that loss of OAT1 was impressively associated with microbial pathways regulating production of urate, gut-derived p-cresol, tryptophan derivatives, and fatty acids. Certain changes, such as alterations in gut microbiome urate metabolism, appear compensatory. Thus, Oat1 in the kidney appears to mediate remote interorganismal communication by regulating the gut microbiome composition and metabolic capability. Since OAT1 function in the proximal tubule is substantially affected in CKD, our results may shed light on the associated alterations in gut-microbiome dynamics.

Authors

Vladimir S. Ermakov, Jeffry C. Granados, Sanjay K. Nigam

×

Figure 3

Schematic of functional analysis of Oat1-KO and WT microbiomes.

Options: View larger image (or click on image) Download as PowerPoint
Schematic of functional analysis of Oat1-KO and WT microbiomes.
Serum fr...
Serum from Oat1-KO and WT mice (n = 4 each) was collected and used for global targeted metabolomics analyses. In total, 217 metabolites were found to be significantly elevated in the KO, 40 of which were characterized as gut microbiome derived. 16S amplicon sequencing was performed on feces collected from the mice (n = 9 Oat1 KO, n = 9 WT). In total, 795 OTUs were reconstructed across both groups. Functional profiling was accomplished using PICRUSt2, which utilizes the Integrated Microbial Genomes (IMG) database to assign genes to OTUs. WGS reconstructed 112 genomes in the Oat1 KO and 59 genomes in the WT (n = 7 Oat1 KO, n = 8 WT). The genomes reconstructed in the Oat1-KO microbiomes were annotated with 84,069 KEGG gene IDs, and the WT mice were annotated with 41,539 KEGG genes. Abundance of genes in the microbiomes was used as a measure of functional enrichment and was interpreted in the context of serum metabolomics.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts