Evidence map›Paper›PMID 34356328›Full record

ArticleAntioxidants (Basel, Switzerland)2021

Characterization of the Striatal Extracellular Matrix in a Mouse Model of Parkinson's Disease.

Ana Freitas, Miguel Aroso, António Barros, Miriam Fernández, Eduardo Conde-Sousa, Marina Leite, Eva Daniela Carvalho, Cristina C Ribeiro, Rita Ferreira, Ana Paula Pêgo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Extracellular Matrix Remodeling in Motor Neuron Diseases.International journal of molecular sciences · 2025
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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

12 authors at 3 institutions in 2 countries.

Ana Freitasi3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.
Miguel Arosoi3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.ORCID 0000-0002-3118-0185
António BarrosFMUP-Faculdade de Medicina, Universidade do Porto, 4200-319 Porto, Portugal.ORCID 0000-0002-9103-5852
Miriam FernándezResearch Institute for Neurological Disabilities (IDINE), Medical School, University of Castilla-La Mancha, 02006 Albacete, Spain.
Eduardo Conde-Sousai3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.ORCID 0000-0002-6591-5063
Marina Leitei3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.ORCID 0000-0003-4286-0247
Eva Daniela Carvalhoi3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.
Cristina C Ribeiroi3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.
Rita FerreiraQOPNA & LAQV-Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.
Ana Paula Pêgoi3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.ORCID 0000-0001-5169-328X
Rui VitorinoFMUP-Faculdade de Medicina, Universidade do Porto, 4200-319 Porto, Portugal.ORCID 0000-0003-3636-5805
Maria Gomez-Lazaroi3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.ORCID 0000-0002-8836-396X
Universidade do Porto · PTUniversity of Aveiro · PTUniversity of Castilla-La Mancha · ES

Funding

Fundação para a Ciência e a Tecnologia CEECIND/03415/2017Fundação para a Ciência e a Tecnologia FCT RJEC Id 3762Fundação para a Ciência e a Tecnologia IF/00286/2015Fundação para a Ciência e a Tecnologia POCI-01-0145-FEDER-007628Fundação para a Ciência e a Tecnologia SFRH/BD/111423/2015Fundação para a Ciência e a Tecnologia UIDB/50006/2020Fundação para a Ciência e a Tecnologia UID/BIM/04293/2020Fundação para a Ciência e a Tecnologia UID/BIM/04501/2020Fundação para a Ciência e a Tecnologia UID/IC/00051/2019
6 · The paper itself

Abstract

Parkinson's disease's etiology is unknown, although evidence suggests the involvement of oxidative modifications of intracellular components in disease pathobiology. Despite the known involvement of the extracellular matrix in physiology and disease, the influence of oxidative stress on the matrix has been neglected. The chemical modifications that might accumulate in matrix components due to their long half-live and the low amount of extracellular antioxidants could also contribute to the disease and explain ineffective cellular therapies. The enriched striatal extracellular matrix from a mouse model of Parkinson's disease was characterized by Raman spectroscopy. We found a matrix fingerprint of increased oxalate content and oxidative modifications. To uncover the effects of these changes on brain cells, we morphologically characterized the primary microglia used to repopulate this matrix and further quantified the effects on cellular mechanical stress by an intracellular fluorescence resonance energy transfer (FRET)-mechanosensor using the U-2 OS cell line. Our data suggest changes in microglia survival and morphology, and a decrease in cytoskeletal tension in response to the modified matrix from both hemispheres of 6-hydroxydopamine (6-OHDA)-lesioned animals. Collectively, these data suggest that the extracellular matrix is modified, and underscore the need for its thorough investigation, which may reveal new ways to improve therapies or may even reveal new therapies.

Indexed as

extracellular matrixoxidative stressParkinson’s diseaseRaman spectroscopy

Identifiers

PMID34356328
PMCPMC8301085
OpenAlexW3178620011

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.