Evidence map›Paper›PMID 42377628›Full record

ReviewMolecular biology reports2026

Advances in neural organoids: structural organization, disease modeling, and applications in gene therapy.

Evelina Nasybullina, Elvira Akhmetzyanova, Albert Rizvanov, Yana Mukhamedshina

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology 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

4 authors.

Evelina NasybullinaKazan (Volga Region) Federal University, Kazan, Russia.
Elvira AkhmetzyanovaKazan (Volga Region) Federal University, Kazan, Russia. elyaelya18@gmail.com.ORCID https://orcid.org/0000-0002-5751-6759
Albert RizvanovKazan (Volga Region) Federal University, Kazan, Russia.
Yana MukhamedshinaKazan (Volga Region) Federal University, Kazan, Russia.

Funding

Ministry of Science and Higher Education of the Russian Federation Kazan Federal University Strategic Academic Leadership Program (PRIORITY-2030)
6 · The paper itself

Abstract

Neural organoids and assembloids have emerged as advanced in vitro models that reproduce the cytoarchitecture and functional complexity of the human brain. This review focuses on recent applications of these three-dimensional systems for modeling neurodegenerative diseases and assessing the efficacy of gene therapy, particularly using adeno-associated viral vectors. The development of induced pluripotent stem cell technology enables the creation of patient-specific organoids that reflect individual genetic backgrounds and disease phenotypes. Neural organoids have been used to model Alzheimer's, Parkinson's, and Huntington's diseases, reproducing hallmark features such as protein aggregation, neuroinflammation, and synaptic dysfunction. They have also served as test systems for evaluating AAV-mediated gene delivery, revealing serotype-specific tropism and supporting optimization of vector design and gene expression. Further advances include integration of immune and vascular components and the construction of multi-regional assembloids that replicate inter-regional neuronal communication and complex network dynamics. Ongoing standardization and scalability of neural organoid systems, combined with bioengineering and analytical innovations, are expected to enhance reproducibility and translational relevance. The convergence of organoid models with gene therapy testing frameworks may accelerate preclinical validation and contribute to the development of precision approaches in neurology.

Indexed as

Genetic TherapyNeurodegenerative DiseasesOrganoidsAnimalsBrainDependovirusGenetic VectorsGene Transfer TechniquesHumansInduced Pluripotent Stem CellsNeuronsAAV vectorsAssembloidsGene therapyiPSCs modelsNeural organoidsNeurodegeneration

Identifiers

What Socratic holds

Textmetadata
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.