Evidence map›Paper›PMID 41623426›Full record

ArticleFrontiers in aging neuroscience2025

Early and progressive retinal microglial changes in APP

Lidia Sánchez-Puebla, Inés López-Cuenca, Miguel A Sánchez-Puebla, Ana Granados, Ana I Ramírez, Juan Llorens, Takaomi C Saido, Takashi Saito, Carmen Nieto-Vaquero, María A Moro and 3 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Lidia Sánchez-Puebla *Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, Madrid, Spain.
Inés López-Cuenca *Ramon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, Madrid, Spain.
Miguel A Sánchez-Puebla *Department of Computer Science, Carlos III University of Madrid, Leganés, Spain.
Ana GranadosDepartment of Computer Science, Carlos III University of Madrid, Leganés, Spain.
Ana I RamírezRamon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, Madrid, Spain.
Juan LlorensDepartment of Computer Science, Carlos III University of Madrid, Leganés, Spain.
Takaomi C SaidoLaboratory for Proteolytic Neuroscience, Brain Science Institute, RIKEN, Wako, Japan.
Takashi SaitoFaculty of Medical Sciences, Institute of Brain Science, Nagoya City University, Nagoya, Japan.
Carmen Nieto-VaqueroNeurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
María A MoroNeurovascular Pathophysiology, Cardiovascular Risk Factor and Brain Function Programme, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Valentín MorenoDepartment of Computer Science, Carlos III University of Madrid, Leganés, Spain.
José M RamírezRamon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, Madrid, Spain.
Rosa de HozRamon Castroviejo Institute for Ophthalmic Research, Complutense University of Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is characterized by the accumulation of misfolded proteins that trigger neuroinflammation and neuronal loss. The retina, as an extension of the central nervous system, mirrors these pathological processes and represents a potential biomarker. Microglial activation, a key component of neuroinflammation, can be morphologically assessed through automated image analysis. This study performed a quantitative and morphological analysis of retinal microglia in the APP

Indexed as

Alzheimer’s diseaseAPPNL-F/NL-F mouse modelautomated image analysismorphological quantificationneuroinflammationretinal microglia

Identifiers

PMID41623426
PMCPMC12852431

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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.