Evidence map›Paper›PMID 29561904›Full record

ArticlePloS one2018

Phasor analysis of NADH FLIM identifies pharmacological disruptions to mitochondrial metabolic processes in the rodent cerebral cortex.

Carlos A Gómez, Jason Sutin, Weicheng Wu, Buyin Fu, Hana Uhlirova, Anna Devor, David A Boas, Sava Sakadžić, Mohammad A Yaseen

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Carlos A GómezAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.
Jason SutinAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.
Weicheng WuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.
Buyin FuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.
Hana UhlirovaDepartment of Neurosciences and Radiology, UC San Diego, La Jolla, CA, United States of America.
Anna DevorAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.
David A BoasAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.
Sava SakadžićAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.
Mohammad A YaseenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.ORCID 0000-0002-4154-152X

Funding

Spatiotemporal Brain Imaging: Microscopic &System LevelR01EB000790 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2002 to 2015
$15.3M
Targeting ROCK for Neurogliovascular Plasticity & Remodeling After StrokeP01NS055104 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI LO, ENG H. · 2007 to 2018
$13.3M
MICROSCOPIC FOUNDATION OF MULTIMODAL HUMAN IMAGINGR01MH111359 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M, DEVOR, ANNA · 2016 to 2020
$5.6M
Microscopic Imaging of Tissue Oxygen Delivery Altered by Microvascular ChangesR01EB021018 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 2015 to 2018
$2.9M
Neuronal, glial and BOLD fMRI signals: From BOLD to 2-photon microscopyR01NS057198 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEVOR, ANNA · 2009 to 2017
$2.6M
Two-Photon Microscopy of Oxygen Consumption in the BrainR01NS091230 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SAKADZIC, SAVA · 2015 to 2019
$2.4M
Multiscale Dynamic Measurements and Modeling of Cerebrovascular PhysiologyR01NS057476 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 2007 to 2011
$2.0M
In Vivo Imaging Alzheimers Disease Pathology with 2-Photon/Lifetime MicroscopyR00AG042026 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI YASEEN, MOHAMMAD ABBAS · 2015 to 2017
$747k
NIA NIH HHS R00 AG042026NIBIB NIH HHS R01 EB000790NIBIB NIH HHS R01 EB021018NIMH NIH HHS R01 MH111359NINDS NIH HHS P01 NS055104NINDS NIH HHS R01 NS057198NINDS NIH HHS R01 NS057476NINDS NIH HHS R01 NS091230
6 · The paper itself

Abstract

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.

Indexed as

AnimalsBicucullineBiomarkersCerebral CortexDisease Models, AnimalHumansIntravital MicroscopyMicroscopy, Fluorescence, MultiphotonMitochondriaModels, BiologicalNADNonlinear DynamicsRats, Sprague-DawleyRodentiaSeizuresBicucullinebicuculline methiodideBiomarkersNAD

Identifiers

PMID29561904
PMCPMC5862490

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.