Evidence map›Paper›PMID 35327542›Full record

ReviewBiomolecules2022

Insights into Human-Induced Pluripotent Stem Cell-Derived Astrocytes in Neurodegenerative Disorders.

Mandeep Kumar, Nhung Thi Phuong Nguyen, Marco Milanese, Giambattista Bonanno

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Mandeep KumarDepartment of Pharmacy, Unit of Pharmacology and Toxicology, University of Genoa, 16148 Genoa, Italy.
Nhung Thi Phuong NguyenDepartment of Pharmacy, Unit of Pharmacology and Toxicology, University of Genoa, 16148 Genoa, Italy.
Marco MilaneseDepartment of Pharmacy, Unit of Pharmacology and Toxicology, University of Genoa, 16148 Genoa, Italy.ORCID 0000-0003-3384-0666
Giambattista BonannoDepartment of Pharmacy, Unit of Pharmacology and Toxicology, University of Genoa, 16148 Genoa, Italy.ORCID 0000-0003-3744-5786
University of Genoa · ITOspedale Policlinico San Martino · IT

Funding

Motor Neurone Disease Association BONANNO/APR16/848-791
6 · The paper itself

Abstract

Most neurodegenerative disorders have complex and still unresolved pathology characterized by progressive neuronal damage and death. Astrocytes, the most-abundant non-neuronal cell population in the central nervous system, play a vital role in these processes. They are involved in various functions in the brain, such as the regulation of synapse formation, neuroinflammation, and lactate and glutamate levels. The development of human-induced pluripotent stem cells (iPSCs) reformed the research in neurodegenerative disorders allowing for the generation of disease-relevant neuronal and non-neuronal cell types that can help in disease modeling, drug screening, and, possibly, cell transplantation strategies. In the last 14 years, the differentiation of human iPSCs into astrocytes allowed for the opportunity to explore the contribution of astrocytes to neurodegenerative diseases. This review discusses the development protocols and applications of human iPSC-derived astrocytes in the most common neurodegenerative conditions.

Indexed as

Induced Pluripotent Stem CellsNeurodegenerative DiseasesAstrocytesCell DifferentiationHumansNeuronsdisease modelinghuman-induced pluripotent stem cellsiPSC-derived astrocytesneurodegenerative disease

Identifiers

PMID35327542
PMCPMC8945600
OpenAlexW4213334186

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.