Evidence map›Paper›PMID 36855168›Full record

ArticleEye and vision (London, England)2023

Microglia activation and neuronal alterations in retinas from COVID-19 patients: correlation with clinical parameters.

Henar Albertos-Arranz, Natalia Martínez-Gil, Xavier Sánchez-Sáez, Agustina Noailles, Clara Monferrer Adsuara, Lidia Remolí Sargues, Juan J Pérez-Santonja, Pedro Lax, Ramón Calvo Andrés, Nicolás Cuenca

Open access · diamondAbstract read
In one paragraph

Article in Eye and vision (London, England), 2023. 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
2.5field-weighted citation impact, top 11% 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

10 authors at 3 institutions in 1 country.

Henar Albertos-Arranz *Department of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig Road W/N, 03690, Alicante, Spain.
Natalia Martínez-Gil *Department of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig Road W/N, 03690, Alicante, Spain.
Xavier Sánchez-SáezDepartment of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig Road W/N, 03690, Alicante, Spain.
Agustina NoaillesDepartment of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig Road W/N, 03690, Alicante, Spain.
Clara Monferrer AdsuaraDepartment of Ophthalmology, General University Hospital Consortium of Valencia (CHGUV), 46014, Valencia, Spain.
Lidia Remolí SarguesDepartment of Ophthalmology, General University Hospital Consortium of Valencia (CHGUV), 46014, Valencia, Spain.
Juan J Pérez-SantonjaDepartment of Ophthalmology, General University Hospital of Alicante (HGUA), 03010, Alicante, Spain.
Pedro LaxDepartment of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig Road W/N, 03690, Alicante, Spain.
Ramón Calvo AndrésDepartment of Ophthalmology, General University Hospital Consortium of Valencia (CHGUV), 46014, Valencia, Spain.
Nicolás CuencaDepartment of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig Road W/N, 03690, Alicante, Spain. cuenca@ua.es.ORCID http://orcid.org/0000-0002-6767-5710
University of Alicante · ESHospital General Universitario De Valencia · ESHospital General Universitario de Alicante Doctor Balmis · ES

Funding

Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana IDIFEDER/2017/064Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana PROMETEO/2021/024Instituto de Salud Carlos III RETICS-FEDER RD16/0008/0016Ministerio de Ciencia e Innovación FEDER-PID2019-106230RB-I00Ministerio de Universidades FPU16/04114Ministerio de Universidades FPU18/02964
6 · The paper itself

Abstract

backgroundDifferent ocular alterations have been described in patients with coronavirus disease 2019 (COVID-19). Our aim was to determine whether COVID-19 affected retinal cells and establish correlations with clinical parameters.

methodsRetinal sections and flat-mount retinas from human donors with COVID-19 (n = 16) and controls (n = 15) were immunostained. The location of angiotensin-converting enzyme 2 (ACE2) and the morphology of microglial cells, Müller cells, astrocytes, and photoreceptors were analyzed by confocal microscopy. Microglial quantification and the area occupied by them were measured. Correlations among retinal and clinical parameters were calculated.

resultsACE2 was mainly located in the Müller cells, outer segment of cones and retinal pigment epithelium. Cell bodies of Müller cells in COVID-19 group showed greater staining of ACE2 and cellular retinaldehyde-binding protein (CRALBP). The 81.3% of COVID-19 patients presented disorganization of honeycomb-like pattern formed by Müller cells. Gliosis was detected in 56.3% of COVID-19 patients compared to controls (40%) as well as epiretinal membranes (ERMs) or astrocytes protruding (50%). Activated or ameboid-shape microglia was the main sign in the COVID-19 group (93.8%). Microglial migration towards the vessels was greater in the COVID-19 retinas (P < 0.05) and the area occupied by microglia was also reduced (P < 0.01) compared to control group. Cone degeneration was more severe in the COVID-19 group. Duration of the disease, age and respiratory failure were the most relevant clinical data in relation with retinal degeneration.

conclusionsThe retinas of patients with COVID-19 exhibit glial activation and neuronal alterations, mostly related to the inflammation, hypoxic conditions, and age.

Indexed as

ACE2GliosisHuman eyesMicrogliaMüller cellsRetinaSARS-CoV-2

Identifiers

PMID36855168
PMCPMC9974399
OpenAlexW4322618434

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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.