Evidence map›Paper›PMID 36052288›Full record

ArticlePhotonics2021

Metabolic Signaling in a Theoretical Model of the Human Retinal Microcirculation.

Julia Arciero, Brendan Fry, Amanda Albright, Grace Mattingly, Hannah Scanlon, Mandy Abernathy, Brent Siesky, Alice Verticchio Vercellin, Alon Harris

Open access · goldAbstract read
In one paragraph

Article in Photonics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 9 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

9 authors at 5 institutions in 1 country.

Julia ArcieroDepartment of Mathematical Sciences, Indiana University-Purdue University, Indianapolis, IN 46202, USA.
Brendan FryDepartment of Mathematics and Statistics, Metropolitan State University of Denver, Denver, CO 80204, USA.
Amanda AlbrightDepartment of Mathematical Sciences, Indiana University-Purdue University, Indianapolis, IN 46202, USA.
Grace MattinglyDepartment of Mathematical Sciences, Indiana University-Purdue University, Indianapolis, IN 46202, USA.
Hannah ScanlonDepartment of Mathematics and Statistics, Wake Forest University, Winston Salem, NC 27109, USA.
Mandy AbernathyDepartment of Mathematics, Wisconsin Lutheran College, Milwaukee, WI 53226, USA.
Brent SieskyIcahn School of Medicine at Mt. Sinai, New York, NY 10029, USA.
Alice Verticchio VercellinIcahn School of Medicine at Mt. Sinai, New York, NY 10029, USA.
Alon HarrisIcahn School of Medicine at Mt. Sinai, New York, NY 10029, USA.
Icahn School of Medicine at Mount Sinai · USIndiana University – Purdue University Indianapolis · USMetropolitan State University of Denver · USWake Forest University · USWisconsin Lutheran College · US

Funding

Integration of clinical measures and theoretical modeling to quantify sectorial specific changes in ocular structure, function, and hemodynamicsR01EY030851 · NEI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ARCIERO, JULIA, HARRIS, ALON · 2020 to 2023
$1.3M
NEI NIH HHS R01 EY030851
6 · The paper itself

Abstract

Impaired blood flow and oxygenation contribute to many ocular pathologies, including glaucoma. Here, a mathematical model is presented that combines an image-based heterogeneous representation of retinal arterioles with a compartmental description of capillaries and venules. The arteriolar model of the human retina is extrapolated from a previous mouse model based on confocal microscopy images. Every terminal arteriole is connected in series to compartments for capillaries and venules, yielding a hybrid model for predicting blood flow and oxygenation throughout the retinal microcirculation. A metabolic wall signal is calculated in each vessel according to blood and tissue oxygen levels. As expected, a higher average metabolic signal is generated in pathways with a lower average oxygen level. The model also predicts a wide range of metabolic signals dependent on oxygen levels and specific network location. For example, for high oxygen demand, a threefold range in metabolic signal is predicted despite nearly identical PO2 levels. This whole-network approach, including a spatially nonuniform structure, is needed to describe the metabolic status of the retina. This model provides the geometric and hemodynamic framework necessary to predict ocular blood flow regulation and will ultimately facilitate early detection and treatment of ischemic and metabolic disorders of the eye.

Indexed as

blood flowglaucomaheterogeneous vascular networkmathematical modelmetabolic signalingmicrocirculationoxygen transportretina

Identifiers

PMID36052288
PMCPMC9432847
OpenAlexW3199077294

What OpenQuestion 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 OpenQuestion graph.