Evidence map›Paper›PMID 37326113›Full record

ArticleCurrent neuropharmacology2023

Estrogens as a Possible Therapeutic Strategy for the Management of Neuroinflammation and Neuroprotection in COVID-19.

Cindy Bandala, Noemí Cárdenas-Rodríguez, Samuel Reyes-Long, Alfredo Cortés-Algara, Itzel Jatziri Contreras-García, Teresita Rocío Cruz-Hernández, Alfonso Alfaro-Rodriguez, José Luis Cortes-Altamirano, Martín Perez-Santos, Maricruz Anaya-Ruiz and 1 more

Open access · greenAbstract read
In one paragraph

Article in Current neuropharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

11 authors at 5 institutions in 1 country.

Cindy BandalaHigher School of Medicine, National Polytechnic Institute, Mexico City, 11340, Mexico.
Noemí Cárdenas-RodríguezHigher School of Medicine, National Polytechnic Institute, Mexico City, 11340, Mexico.
Samuel Reyes-LongBasic Neurosciences, National Institute of Rehabilitation LGII, Mexico City, 14389, Mexico.
Alfredo Cortés-AlgaraHigher School of Medicine, National Polytechnic Institute, Mexico City, 11340, Mexico.
Itzel Jatziri Contreras-GarcíaNeuroscience Laboratory, National Institute of Pediatrics, Mexico City, 04530, Mexico.
Teresita Rocío Cruz-HernándezHigher School of Medicine, National Polytechnic Institute, Mexico City, 11340, Mexico.
Alfonso Alfaro-RodriguezBasic Neurosciences, National Institute of Rehabilitation LGII, Mexico City, 14389, Mexico.
José Luis Cortes-AltamiranoNeurociencias básicas, Instituto Nacional de Rehabilitación LGII, Mexico City, 14389, Mexico.
Martín Perez-SantosDirectorate of Innovation and Knowledge Transfer, Meritorious Autonomous University of Puebla, 72570, Puebla, Mexico.
Maricruz Anaya-RuizCell Biology Laboratory, Oriente Biomedical Research Center, Mexican Social Security Institute, Metepec, 74360, Puebla, Mexico.
Eleazar Lara-PadillaHigher School of Medicine, National Polytechnic Institute, Mexico City, 11340, Mexico.
Instituto Nacional de Rehabilitación · MXInstituto Politécnico Nacional · MXTecnológico Nacional de México · MXBenemérita Universidad Autónoma de Puebla · MXMexican Social Security Institute · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Coronavirus disease 2019 (COVID-19) affects several tissues, including the central and peripheral nervous system. It has also been related to signs and symptoms that suggest neuroinflammation with possible effects in the short, medium, and long term. Estrogens could have a positive impact on the management of the disease, not only due to its already known immunomodulator effect, but also activating other pathways that may be important in the pathophysiology of COVID-19, such as the regulation of the virus receptor and its metabolites. In addition, they can have a positive effect on neuroinflammation secondary to pathologies other than COVID-19. The aim of this study is to analyze the molecular mechanisms that link estrogens with their possible therapeutic effect for neuroinflammation related to COVID-19. Advanced searches were performed in scientific databases as Pub- Med, ProQuest, EBSCO, the Science Citation index, and clinical trials. Estrogens have been shown to participate in the immune modulation of the response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In addition to this mechanism, we propose that estrogens can regulate the expression and activity of the Angiotensin-converting enzyme 2 (ACE2), reestablishing its cytoprotective function, which may be limited by its interaction with SARS-CoV-2. In this proposal, estrogens and estrogenic compounds could increase the synthesis of Angiotensin-(1-7) (Ang-(1-7)) that acts through the Mas receptor (MasR) in cells that are being attacked by the virus. Estrogens can be a promising, accessible, and low-cost treatment for neuroprotection and neuroinflammation in patients with COVID-19, due to its direct immunomodulatory capacity in decreasing cytokine storm and increasing cytoprotective capacity of the axis ACE2/Ang (1-7)/MasR.

Indexed as

COVID-19Angiotensin-Converting Enzyme 2EstrogensHumansImmunologic FactorsNeuroinflammatory DiseasesNeuroprotectionPeptidyl-Dipeptidase ARenin-Angiotensin SystemSARS-CoV-2Angiotensin-Converting Enzyme 2EstrogensImmunologic FactorsPeptidyl-Dipeptidase AACE2Ang (1-7)COVID-19EstrogensneuroinflammationneuroprotectionSARS-CoV-2

Identifiers

PMID37326113
PMCPMC10556364
OpenAlexW4380871033

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.