Evidence map›Paper›PMID 38438989›Full record

ArticleBMC neuroscience2024

Defined co-cultures of glutamatergic and GABAergic neurons with a mutation in DISC1 reveal aberrant phenotypes in GABAergic neurons.

Johanna Heider, Aaron Stahl, Denise Sperlich, Sophia-Marie Hartmann, Sabrina Vogel, Ricarda Breitmeyer, Markus Templin, Hansjürgen Volkmer

Open access · goldAbstract read
In one paragraph

Article in BMC neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

8 authors at 2 institutions in 1 country.

Johanna HeiderDepartment of Pharma and Biotech, NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770, Reutlingen, Germany.
Aaron StahlDepartment of Pharma and Biotech, NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770, Reutlingen, Germany.
Denise SperlichDepartment of Pharma and Biotech, NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770, Reutlingen, Germany.
Sophia-Marie HartmannDepartment of Pharma and Biotech, NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770, Reutlingen, Germany.
Sabrina VogelDepartment of Pharma and Biotech, NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770, Reutlingen, Germany.
Ricarda BreitmeyerDepartment of Pharma and Biotech, NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770, Reutlingen, Germany.
Markus TemplinDepartment of Pharma and Biotech, NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770, Reutlingen, Germany.
Hansjürgen VolkmerDepartment of Pharma and Biotech, NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770, Reutlingen, Germany. volkmer@nmi.de.
Natural and Medical Sciences Institute · DEUniversity of Tübingen · DE

Funding

German Federal Ministry of Education and Research 01EK2101AState of Baden-Wuerttemberg AZ 35-4223.10/8
6 · The paper itself

Abstract

backgroundMutations in the gene DISC1 are associated with increased risk for schizophrenia, bipolar disorder and major depression. The study of mutated DISC1 represents a well-known and comprehensively characterized approach to understand neuropsychiatric disease mechanisms. However, previous studies have mainly used animal models or rather heterogeneous populations of iPSC-derived neurons, generated by undirected differentiation, to study the effects of DISC1 disruption. Since major hypotheses to explain neurodevelopmental, psychiatric disorders rely on altered neuronal connectivity observed in patients, an ideal iPSC-based model requires accurate representation of the structure and complexity of neuronal circuitries. In this study, we made use of an isogenic cell line with a mutation in DISC1 to study neuronal synaptic phenotypes in a culture system comprising a defined ratio of NGN2 and ASCL1/DLX2 (AD2)-transduced neurons, enriched for glutamatergic and GABAergic neurons, respectively, to mimic properties of the cortical microcircuitry.

resultsIn heterozygous DISC1 mutant neurons, we replicated the expected phenotypes including altered neural progenitor proliferation as well as neurite outgrowth, deregulated DISC1-associated signaling pathways, and reduced synaptic densities in cultures composed of glutamatergic neurons. Cultures comprising a defined ratio of NGN2 and AD2 neurons then revealed considerably increased GABAergic synapse densities, which have not been observed in any iPSC-derived model so far. Increased inhibitory synapse densities could be associated with an increased efficiency of GABAergic differentiation, which we observed in AD2-transduced cultures of mutant neurons. Additionally, we found increased neuronal activity in GABAergic neurons through calcium imaging while the activity pattern of glutamatergic neurons remained unchanged.

conclusionsIn conclusion, our results demonstrate phenotypic differences in a co-culture comprising a defined ratio of DISC1 mutant NGN2 and AD2 neurons, as compared to culture models comprising only one neuronal cell type. Altered synapse numbers and neuronal activity imply that DISC1 impacts the excitatory/inhibitory balance in NGN2/AD2 co-cultures, mainly through increased GABAergic input.

Indexed as

Bipolar DisorderMajor Depressive DisorderAnimalsCoculture TechniquesGABAergic NeuronsHumansMutationNerve Tissue ProteinsDISC1 protein, humanNerve Tissue ProteinsCo-cultureDISC1E/I imbalanceGABAergic neuronsGlutamatergic neuronsiPSC

Identifiers

PMID38438989
PMCPMC10910844
OpenAlexW4392376218

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.