Evidence map›Paper›PMID 37919331›Full record

ArticleScientific reports2023

Quantitative study of spatial and temporal variation in retinal capillary network perfusion in rat eye by in vivo confocal imaging.

Paula Kun Yu, Andrew Mehnert, Jayden Brendan Dickson, Hassanain Qambari, Chandrakumar Balaratnasingam, Stephen Cringle, Dean Darcey, Dao-Yi Yu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Paula Kun YuCentre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia.
Andrew MehnertCentre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia.
Jayden Brendan DicksonLions Eye Institute, 2 Verdun Street, Nedlands, WA, Australia.
Hassanain QambariCentre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia.
Chandrakumar BalaratnasingamCentre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia.
Stephen CringleCentre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia.
Dean DarceyLions Eye Institute, 2 Verdun Street, Nedlands, WA, Australia.
Dao-Yi YuCentre for Ophthalmology and Visual Science, The University of Western Australia, Perth, Australia. dao-yi.yu@uwa.edu.au.
Lions Eye Institute · AUUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microvascular dysfunction is the underlying pathological process in many systemic diseases. However, investigation into its pathogenesis is impeded by the accessibility and complexity of the microvasculature within different organs, particularly for the central nervous system. The retina as an extension of the cerebrum provides a glimpse into the brain through which the microvasculature can be observed. Two major questions remain unanswered: How do the microvessels regulate spatial and temporal delivery to satisfy the varying cellular demands, and how can we quantify blood perfusion in the 3D capillary network? Here, quantitative measurements of red blood cell (RBC) speed in each vessel in the field were made in the in vivo rat retinal capillary network using an ultrafast confocal technique with fluorescently labelled RBCs. Retinal RBC speed and number were found to vary remarkably between microvessels ranging from 215 to 6641 microns per second with significant variations spatially and temporally. Overall, the RBC speed was significantly faster in the microvessels in the superficial retina than in the deep retina (estimated marginal means of 2405 ± 238.2 µm/s, 1641 ± 173.0 µm/s respectively). These observations point to a highly dynamic nature of microvasculature that is specific to its immediate cellular environment and is constantly changing.

Indexed as

MicrovesselsRetinaAnimalsBrainErythrocytesPerfusionRatsRetinal Vessels

Identifiers

PMID37919331
PMCPMC10622421
OpenAlexW4388221556

What Socratic holds

Textmetadata
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 Socratic graph.