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Measuring renal cortical cell-specific mitochondrial metabolism.

Kyle Feola1,2, Andrea H Venable1,2, Tatyana Broomfield3

  • 1Department of Internal Medicine (Nephrology), University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Biorxiv : the Preprint Server for Biology
|December 9, 2024
PubMed
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Kidney cells show diverse mitochondrial functions. This study reveals cell-specific metabolic differences in proximal and distal tubules, crucial for understanding kidney disease and developing targeted therapies.

Keywords:
cellular metabolic heterogeneitykidneymetabolismmitochondriatubular epithelium

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Area of Science:

  • Nephrology
  • Mitochondrial Biology
  • Cellular Metabolism

Background:

  • Kidney metabolic health is key to preventing kidney disease progression.
  • Kidney structural and functional heterogeneity limits understanding of cell-specific metabolism.
  • Intra-renal mitochondrial heterogeneity is hypothesized to drive cell-specific kidney metabolism.

Purpose of the Study:

  • To investigate mitochondrial functional capacities and metabolomes in distinct kidney cell types.
  • To explore cell-specific mitochondrial metabolism in early proximal tubule (PT), late PT, and distal convoluted tubule (DCT).
  • To assess how fasting impacts mitochondrial metabolism in these kidney segments.

Main Methods:

  • Utilized a novel mitochondrial tagging technique (MITO-Tag) in mouse models.
  • Generated cell-type specific mouse models targeting early PT, late PT, and DCT using Cre-driver lines.
  • Performed functional assays (respiratory, fatty acid oxidation) and metabolomics on isolated mitochondria.

Main Results:

  • Revealed differential mitochondrial respiratory and fatty acid oxidation (FAO) capacities across early PT, late PT, and DCT.
  • Demonstrated dynamic changes in these capacities during fasting.
  • Observed increased FAO in the late PT during fasting, indicated by metabolomic changes.

Conclusions:

  • The kidney cortex exhibits significant mitochondrial metabolic and functional diversity across different cell populations.
  • Understanding cell-specific mitochondrial metabolism is critical for developing targeted therapies for kidney diseases.
  • The MITO-Tag model effectively captures differential mitochondrial metabolism in distinct kidney cell types under fed and fasted conditions.