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Two-Photon Intravital Fluorescence Lifetime Imaging of the Kidney Reveals Cell-Type Specific Metabolic Signatures.

Citation
Hato, T., et al. “Two-Photon Intravital Fluorescence Lifetime Imaging Of The Kidney Reveals Cell-Type Specific Metabolic Signatures.”. Journal Of The American Society Of Nephrology : Jasn, pp. 2420-2430.
Center Indiana University
Author Takashi Hato, Seth Winfree, Richard Day, Ruben M Sandoval, Bruce A Molitoris, Mervin C Yoder, Roger C Wiggins, Yi Zheng, Kenneth W Dunn, Pierre C Dagher
Keywords endothelium, Metabolism, podocyte, tubules
Abstract

In the live animal, tissue autofluorescence arises from a number of biologically important metabolites, such as the reduced form of nicotinamide adenine dinucleotide. Because autofluorescence changes with metabolic state, it can be harnessed as a label-free imaging tool with which to study metabolism Here, we used the combination of intravital two-photon microscopy and frequency-domain fluorescence lifetime imaging microscopy (FLIM) to map cell-specific metabolic signatures in the kidneys of live animals. The FLIM images are analyzed using the phasor approach, which requires no prior knowledge of metabolite species and can provide unbiased metabolic fingerprints for each pixel of the lifetime image. Intravital FLIM revealed the metabolic signatures of S1 and S2 proximal tubules to be distinct and resolvable at the subcellular level. Notably, S1 and distal tubules exhibited similar metabolic profiles despite apparent differences in morphology and autofluorescence emission with traditional two-photon microscopy. Time-lapse imaging revealed dynamic changes in the metabolic profiles of the interstitium, urinary lumen, and glomerulus-areas that are not resolved by traditional intensity-based two-photon microscopy. Finally, using a model of endotoxemia, we present examples of the way in which intravital FLIM can be applied to study kidney diseases and metabolism. In conclusion, intravital FLIM of intrinsic metabolites is a bias-free approach with which to characterize and monitor metabolism , and offers the unique opportunity to uncover dynamic metabolic changes in living animals with subcellular resolution.

Year of Publication
2017
Journal
Journal of the American Society of Nephrology : JASN
Volume
28
Issue
8
Number of Pages
2420-2430
Date Published
08/2017
ISSN Number
1533-3450
DOI
10.1681/ASN.2016101153
Alternate Journal
J. Am. Soc. Nephrol.
PMID
28250053
PMCID
PMC5533239
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