Evidence map›Paper›PMID 40381978›Full record

ReviewExperimental eye research2025

Quantifying retinal oxygenation and metabolism by phosphorescence lifetime imaging.

Mahnaz Shahidi

Abstract readReview
In one paragraph

Review in Experimental eye research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Mahnaz ShahidiDepartment of Ophthalmology, University of Southern California Keck School of Medicine, Los Angeles, CA, USA; Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA. Electronic address: mshahidi@usc.edu.

Funding

Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SHUKLA, DEEPAK · 1985 to 2025
$14.8M
Ophthalmic Therapeutics Engineering CoreP30EY029220 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Mahnaz Shahidi · 2018 to 2026
$6.5M
Noninvasive Imaging of Chorioretinal Oxygen TensionR01EY017918 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHAHIDI, MAHNAZ · 2007 to 2022
$6.2M
NEI NIH HHS P30 EY001792NEI NIH HHS P30 EY029220NEI NIH HHS R01 EY017918
6 · The paper itself

Abstract

The retina is a highly metabolically active tissue, requiring adequate availability of oxygen and other metabolites to generate energy for cellular survival and visual function. Retinal hypoxia has been implicated in several common retinal diseases and associated with the development of vision-threatening pathologies. Since the level of hypoxia determines processes that are activated for either cell survival or death, knowledge of retinal oxygenation is essential. This article reviews depth-resolved quantitative measurements of retinal vascular and tissue oxygen tension in rodents using the technique of phosphorescence lifetime imaging. Furthermore, retinal oxygen metabolic biomarkers were quantitatively derived from oxygen tension measurements and shown to be altered under challenged physiological and pathological conditions. Application of phosphorescence lifetime imaging can be useful for advancing knowledge of retinal ischemia pathophysiology and identifying physiological biomarkers to monitor progression and evaluate therapeutic interventions in animal models of human retinal diseases.

Indexed as

Luminescent MeasurementsOxygenOxygen ConsumptionRetinaRetinal DiseasesRetinal VesselsAnimalsHumansOxygenImagingMetabolismOxygenPhosphorescenceRetina

Identifiers

PMID40381978
PMCPMC12148698

What OpenQuestion holds

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LicenceTDM
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.