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Multiomics reveals multilevel control of renal and systemic metabolism by the renal tubular circadian clock
Yohan Bignon, … , Frédéric Gachon, Dmitri Firsov
Yohan Bignon, … , Frédéric Gachon, Dmitri Firsov
Published March 2, 2023
Citation Information: J Clin Invest. 2023;133(8):e167133. https://doi.org/10.1172/JCI167133.
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Research Article Nephrology

Multiomics reveals multilevel control of renal and systemic metabolism by the renal tubular circadian clock

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Abstract

Circadian rhythmicity in renal function suggests rhythmic adaptations in renal metabolism. To decipher the role of the circadian clock in renal metabolism, we studied diurnal changes in renal metabolic pathways using integrated transcriptomic, proteomic, and metabolomic analysis performed on control mice and mice with an inducible deletion of the circadian clock regulator Bmal1 in the renal tubule (cKOt). With this unique resource, we demonstrated that approximately 30% of RNAs, approximately 20% of proteins, and approximately 20% of metabolites are rhythmic in the kidneys of control mice. Several key metabolic pathways, including NAD+ biosynthesis, fatty acid transport, carnitine shuttle, and β-oxidation, displayed impairments in kidneys of cKOt mice, resulting in perturbed mitochondrial activity. Carnitine reabsorption from primary urine was one of the most affected processes with an approximately 50% reduction in plasma carnitine levels and a parallel systemic decrease in tissue carnitine content. This suggests that the circadian clock in the renal tubule controls both kidney and systemic physiology.

Authors

Yohan Bignon, Leonore Wigger, Camille Ansermet, Benjamin D. Weger, Sylviane Lagarrigue, Gabriel Centeno, Fanny Durussel, Lou Götz, Mark Ibberson, Sylvain Pradervand, Manfredo Quadroni, Meltem Weger, Francesca Amati, Frédéric Gachon, Dmitri Firsov

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Figure 2

Comparison of changes observed in renal transcriptome and proteome.

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Comparison of changes observed in renal transcriptome and proteome.
(A) ...
(A) Venn diagram showing the number of rhythmic transcripts and proteins among all detected pairs in control (Ctrl) and cKOt mice. (B) Table showing the frequency of transcripts and proteins pairs falling in the same dryR rhythmicity model. (C) Scatter plot and regression line with 95% confidence intervals of log2 fold changes in mean expression between Ctrl and cKOt mice at transcriptional (x axis) and protein (y axis) levels. (D) Histogram showing the distribution of the acrophase shift between transcripts and proteins in Ctrl (upper panel) or cKOt (lower panel) mice. Red dashed lines: kernel density estimates. (E) Scatter plot of all KEGG metabolic pathways significantly altered (Padj < 0.25) in both transcriptomic and proteomic renal data sets. Results are based on over representation analyses (ORA) of transcripts or proteins showing a significantly altered mean expression (Padj < 0.05 obtained with limma R package) with an absolute fold change > 1.2. The size of each dot depends on the number of transcripts or proteins, or components, of the pathway significantly affected in cKOt mice. Pathways are sorted from the lower to the higher value obtained by multiplication of Padj of both data sets.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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