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Phasor analysis of NADH FLIM identifies pharmacological disruptions to mitochondrial metabolic processes in the rodent cerebral cortex
CA. Gómez, J. Sutin, W. Wu, B. Fu, H. Uhlirova, A. Devor, DA. Boas, S. Sakadžić, MA. Yaseen,
Language English Country United States
Document type Comparative Study, Evaluation Study, Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't
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- MeSH
- Bicuculline analogs & derivatives pharmacology MeSH
- Biomarkers metabolism MeSH
- Models, Biological MeSH
- Rodentia physiology MeSH
- Intravital Microscopy methods MeSH
- Humans MeSH
- Microscopy, Fluorescence, Multiphoton methods MeSH
- Mitochondria drug effects metabolism MeSH
- Disease Models, Animal MeSH
- Cerebral Cortex drug effects metabolism MeSH
- NAD metabolism MeSH
- Nonlinear Dynamics MeSH
- Rats, Sprague-Dawley MeSH
- Seizures chemically induced diagnostic imaging metabolism MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
- Comparative Study MeSH
Investigating cerebral metabolism in vivo at a microscopic level is essential for understanding brain function and its pathological alterations. The intricate signaling and metabolic dynamics between neurons, glia, and microvasculature requires much more detailed understanding to better comprehend the mechanisms governing brain function and its disease-related changes. We recently demonstrated that pharmacologically-induced alterations to different steps of cerebral metabolism can be distinguished utilizing 2-photon fluorescence lifetime imaging of endogenous reduced nicotinamide adenine dinucleotide (NADH) fluorescence in vivo. Here, we evaluate the ability of the phasor analysis method to identify these pharmacological metabolic alterations and compare the method's performance with more conventional nonlinear curve-fitting analysis. Visualization of phasor data, both at the fundamental laser repetition frequency and its second harmonic, enables resolution of pharmacologically-induced alterations to mitochondrial metabolic processes from baseline cerebral metabolism. Compared to our previous classification models based on nonlinear curve-fitting, phasor-based models required fewer parameters and yielded comparable or improved classification accuracy. Fluorescence lifetime imaging of NADH and phasor analysis shows utility for detecting metabolic alterations and will lead to a deeper understanding of cerebral energetics and its pathological changes.
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