Evidence map›Paper›PMID 33736657›Full record

ArticleJournal of neuroinflammation2021

Senescent accelerated prone 8 (SAMP8) mice as a model of age dependent neuroinflammation.

Andrés Fernández, Elena Quintana, Patricia Velasco, Belén Moreno-Jimenez, Belén de Andrés, Maria Luisa Gaspar, Isabel Liste, Marçal Vilar, Helena Mira, Eva Cano

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  11. Microglial galectin-3 increases with aging in the mouse hippocampus.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
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  20. Biological aging in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023
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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 2 institutions in 1 country.

Andrés Fernández *Chronic Disease Programme, Neuroinflammation Unit, Instituto de Salud Carlos III, Carretera Majadahonda-Pozuelo, Km.2,2, Majadahonda, 28220, Madrid, Spain.
Elena Quintana *Chronic Disease Programme, Neuroinflammation Unit, Instituto de Salud Carlos III, Carretera Majadahonda-Pozuelo, Km.2,2, Majadahonda, 28220, Madrid, Spain.
Patricia VelascoChronic Disease Programme, Neuroinflammation Unit, Instituto de Salud Carlos III, Carretera Majadahonda-Pozuelo, Km.2,2, Majadahonda, 28220, Madrid, Spain.
Belén Moreno-JimenezChronic Disease Programme, Neuroinflammation Unit, Instituto de Salud Carlos III, Carretera Majadahonda-Pozuelo, Km.2,2, Majadahonda, 28220, Madrid, Spain.
Belén de AndrésUnidad de Inmunobiología, Instituto de Salud Carlos II, Madrid, Spain.
Maria Luisa GasparUnidad de Inmunobiología, Instituto de Salud Carlos II, Madrid, Spain.
Isabel ListeChronic Disease Programme, Neuroinflammation Unit, Instituto de Salud Carlos III, Carretera Majadahonda-Pozuelo, Km.2,2, Majadahonda, 28220, Madrid, Spain.
Marçal VilarInstituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas, Madrid, Spain.
Helena MiraInstituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas, Madrid, Spain.
Eva CanoChronic Disease Programme, Neuroinflammation Unit, Instituto de Salud Carlos III, Carretera Majadahonda-Pozuelo, Km.2,2, Majadahonda, 28220, Madrid, Spain. ecano@isciii.es.ORCID http://orcid.org/0000-0003-2750-6135
Instituto de Salud Carlos III · ESConsejo Superior de Investigaciones Científicas · ES

Funding

Ministerio de Economía, Industria y Competitividad, Gobierno de España SAF2016-76451R
6 · The paper itself

Abstract

backgroundAging and age-related diseases are strong risk factors for the development of neurodegenerative diseases. Neuroinflammation (NIF), as the brain's immune response, plays an important role in aged associated degeneration of central nervous system (CNS). There is a need for well characterized animal models that will allow the scientific community to understand and modulate this process.

methodsWe have analyzed aging-phenotypical and inflammatory changes of brain myeloid cells (bMyC) in a senescent accelerated prone aged (SAMP8) mouse model, and compared with their senescence resistant control mice (SAMR1). We have performed morphometric methods to evaluate the architecture of cellular prolongations and determined the appearance of Iba1

resultsAged 10 months old SAMP8 mice present many of the hallmarks of aging-dependent neuroinflammation when compared with their SAMR1 control, i.e., increase of protein aggregates, presence of Iba1

conclusionOur data validate the SAMP8 model to study age-associated neuroinflammatory events, but careful controls for age and strain are required. These animals show morphological changes in their bMyC cell repertoires associated to age, corresponding to an increase in the production of pro-inflammatory cytokines such as IL-1β, which predispose the brain to an enhanced inflammatory response after LPS-systemic challenge.

Indexed as

AgingAging, PrematureAnimalsBrainCalcium-Binding ProteinsChoroid PlexusDisease Models, AnimalEncephalitisHippocampusInterleukin-1betaLipopolysaccharidesMeningesMiceMicrofilament ProteinsAif1 protein, mouseCalcium-Binding ProteinsIL1B protein, mouseInterleukin-1betaLipopolysaccharidesMicrofilament ProteinsAgingBrain myeloid cellsIL-1βInflammationMicrogliaSAMP8

Identifiers

PMID33736657
PMCPMC7977588
OpenAlexW3136370828

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.