Evidence map›Paper›PMID 36745234›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Spatial distribution of metabolites in the retina and its relevance to studies of metabolic retinal disorders.

Roberto Bonelli, Sasha M Woods, Sarah Lockwood, Paul N Bishop, Kamron N Khan, Melanie Bahlo, Brendan R E Ansell, Marcus Fruttiger

Open access · hybridAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 8 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 5 institutions in 3 countries.

Roberto BonelliPopulation Health & Immunity Division, The Walter & Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC, 3052, Australia.
Sasha M WoodsUCL Institute of Ophthalmology, University College London, 11-43 Bath St, London, EC1V 9EL, UK.
Sarah LockwoodUC Davis, CA National Primate Research Centre, Davis, CA, 95616, USA.
Paul N BishopDivision of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, M13 9PT, UK.
Kamron N KhanThe Leeds Teaching Hospitals NHS Trust, St. James's Hospital, Leeds, LS9 7TF, UK.
Melanie BahloPopulation Health & Immunity Division, The Walter & Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC, 3052, Australia.
Brendan R E AnsellPopulation Health & Immunity Division, The Walter & Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC, 3052, Australia.
Marcus FruttigerUCL Institute of Ophthalmology, University College London, 11-43 Bath St, London, EC1V 9EL, UK. m.fruttiger@ucl.ac.uk.
University of Melbourne · AUUniversity College London · GBLeeds Teaching Hospitals NHS Trust · GBUniversity of California, Davis · USUniversity of Manchester · GB

Funding

Department of Health
6 · The paper itself

Abstract

introductionThe primate retina has evolved regional specialisations for specific visual functions. The macula is specialised towards high acuity vision and is an area that contains an increased density of cone photoreceptors and signal processing neurons. Different regions in the retina display unique susceptibility to pathology, with many retinal diseases primarily affecting the macula.

objectivesTo better understand the properties of different retinal areas we studied the differential distribution of metabolites across the retina.

methodsWe conducted an untargeted metabolomics analysis on full-thickness punches from three different regions (macula, temporal peri-macula and periphery) of healthy primate retina.

resultsNearly half of all metabolites identified showed differential abundance in at least one comparison between the three regions. Furthermore, mapping metabolomics results from macula-specific eye diseases onto our region-specific metabolite distributions revealed differential abundance defining systemic metabolic dysregulations that were region specific.

conclusionsThe unique metabolic phenotype of different retinal regions is likely due to the differential distribution of different cell types in these regions reflecting the specific metabolic requirements of each cell type. Our results may help to better understand the pathobiology of retinal diseases with region specificity.

Indexed as

Macula LuteaRetinal DiseasesAnimalsMetabolomicsNeuronsRetina

Identifiers

PMID36745234
PMCPMC9902429
OpenAlexW4319294120

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.