Evidence map›Paper›PMID 41895273›Full record

ReviewStem cell reports2026

Dissecting microglial contributions to neurodegenerative disease pathophysiology using human pluripotent stem cells.

Dayoung Kim, Takayuki Kondo, Haruhisa Inoue

Abstract readReview
In one paragraph

Review in Stem cell reports, 2026. 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

3 authors.

Dayoung KimCenter for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.
Takayuki KondoCenter for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan; iPS-based Drug Discovery and Development Team, RIKEN BioResourse Research Center (BRC), Kyoto, Japan; Medical-risk Avoidance based on iPS Cells Team, RIKEN Center for Advanced Intelligence Project (AIP), Kyoto, Japan.
Haruhisa InoueCenter for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan; iPS-based Drug Discovery and Development Team, RIKEN BioResourse Research Center (BRC), Kyoto, Japan; Medical-risk Avoidance based on iPS Cells Team, RIKEN Center for Advanced Intelligence Project (AIP), Kyoto, Japan. Electronic address: haruhisa@cira.kyoto-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative diseases are characterized by progressive neuronal dysfunction and loss. Microglia, the brain's resident macrophages, are key contributors to disease pathogenesis, with many genetic risk variants enriched in microglia-specific genes. While rodent models have provided valuable insights, human induced pluripotent stem cell (iPSC) and embryonic stem cell (ESC) technologies now enable the generation of human microglia-like cells, offering a physiologically relevant platform to study human microglial biology. This review discusses the developmental origins and functions of microglia, current differentiation approaches, and how these models help elucidate disease-relevant phenotypes and molecular mechanisms in neurodegeneration.

Indexed as

Induced Pluripotent Stem CellsMicrogliaNeurodegenerative DiseasesPluripotent Stem CellsAnimalsCell DifferentiationHumansADALSAlzheimer’s diseaseamyotrophic lateral sclerosisCSF1R-ALSPCSF1R-related adult-onset leukoencephalopathy with axonal spheroids and pigmented gliafrontotemporal dementiaFTDmicroglianeurodegenerative diseasesorganoidParkinson’s diseasePDpluripotent stem cellsPSCs

Identifiers

PMID41895273
PMCPMC13083798

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.