Evidence map›Paper›PMID 24331955›Full record

ReviewBiological psychiatry2014

Modeling heterogeneous patients with a clinical diagnosis of schizophrenia with induced pluripotent stem cells.

Kristen J Brennand, Melissa A Landek-Salgado, Akira Sawa

Abstract readReview
In one paragraph

Review in Biological psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Mental health dished up-the use of iPSC models in neuropsychiatric research.Journal of neural transmission (Vienna, Austria : 1996) · 2020
    Pooled it
  2. Review
  3. Article
  4. Neurobiology of stress · 2023
    Review
  5. Article
  6. Review
  7. Association Between Abundance ofFrontiers in psychiatry · 2021
    Article
  8. Article
  9. Integrative network analysis reveals biological pathways associated with Williams syndrome.Journal of child psychology and psychiatry, and allied disciplines · 2019
    Article
  10. Review
  11. Chromosomal Conformations and Epigenomic Regulation in Schizophrenia.Progress in molecular biology and translational science · 2018
    Review
  12. Review
  13. Article
  14. The epigenomics of schizophrenia, in the mouse.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article
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.

Kristen J BrennandDepartments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: kristen.brennand@mssm.edu.
Melissa A Landek-SalgadoDepartment of Psychiatry, John Hopkins University School of Medicine, Baltimore, Maryland.
Akira SawaDepartment of Psychiatry, John Hopkins University School of Medicine, Baltimore, Maryland.

Funding

Project 3P50MH094268 · NIMH · JOHNS HOPKINS UNIVERSITY · PI LEEK, JEFFREY T. · 2011 to 2020
$19.9M
Research Center for Molecular Pathogenesis of SchizophreniaP20MH084018 · NIMH · JOHNS HOPKINS UNIVERSITY · PI GALLAGHER, MICHAELA · 2008 to 2010
$3.3M
Nuclear pathway of DISC1 in major mental illnesses: biochemistry and cell biologyR01MH069853 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2004 to 2012
$3.2M
Contrasting causal microRNAs in forebrain and midbrain COS hiPSC neural cellsR01MH101454 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BRENNAND, KRISTEN JENNIFER · 2013 to 2017
$2.8M
Oxidative stress and schizophrenia: combination of cell biology and brain imagingR01MH092443 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2015
$1.8M
Defining of Neurodevelopmental Pathways Regulated by Neuregulin- DISC1 InteractioRC1MH088753 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ANTON, EVA S, SAWA, AKIRA · 2009 to 2010
$933k
PICK1 knockout mice: role for D-serine in neonatal forebrainsR21MH085226 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2010 to 2011
$369k
NIMH NIH HHS MH-069853NIMH NIH HHS MH-084018NIMH NIH HHS MH-085226NIMH NIH HHS MH-088753NIMH NIH HHS MH-092443NIMH NIH HHS MH-094268NIMH NIH HHS MH-10145401NIMH NIH HHS P20 MH084018NIMH NIH HHS P50 MH094268NIMH NIH HHS R01 MH069853NIMH NIH HHS R01 MH092443NIMH NIH HHS R01 MH101454NIMH NIH HHS R21 MH085226NIMH NIH HHS RC1 MH088753
6 · The paper itself

Abstract

Schizophrenia (SZ) is a devastating complex genetic mental condition that is heterogeneous in terms of clinical etiologies, symptoms, and outcomes. Despite decades of postmortem, neuroimaging, pharmacological, and genetic studies of patients, in addition to animal models, much of the biological mechanisms that underlie the pathology of SZ remain unknown. The ability to reprogram adult somatic cells into human induced pluripotent stem cells (hiPSCs) provides a new tool that supplies live human neurons for modeling complex genetic conditions such as SZ. The purpose of this review is to discuss the technical and clinical constraints currently limiting hiPSC-based studies. We posit that reducing the clinical heterogeneity of hiPSC-based studies, by selecting subjects with common clinical manifestations or rare genetic variants, will help our ability to draw meaningful insights from the necessarily small patient cohorts that can be studied at this time.

Indexed as

Models, NeurologicalCell DifferentiationHumansInduced Pluripotent Stem CellsNeuronsSchizophreniaSignal TransductionClinical heterogeneitygeneticshuman induced pluripotent stem cellsmouse modelneuronal differentiationschizophrenia

Identifiers

PMID24331955
PMCPMC4022707

What OpenQuestion holds

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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.