Evidence map›Paper›PMID 30087005›Full record

ReviewAlcohol (Fayetteville, N.Y.)2019

Using human stem cells as a model system to understand the neural mechanisms of alcohol use disorders: Current status and outlook.

Matthew S Scarnati, Apoorva Halikere, Zhiping P Pang

Open access · greenAbstract readReview
In one paragraph

Review in Alcohol (Fayetteville, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Synaptic Regulation by OPRM1 Variants in Reward Neurocircuitry.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  6. Article
  7. Review
  8. 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

3 authors at 1 institution in 1 country.

Matthew S ScarnatiChild Health Institute of New Jersey, Rutgers University-Robert Wood Johnson Medical School, Room 3233D, 89 French Street, New Brunswick, NJ 08901, USA; Department of Neuroscience and Cell Biology, Rutgers University-Robert Wood Johnson Medical School, Room 3233D, 89 French Street, New Brunswick, NJ 08901, USA. Electronic address: mss344@rutgers.edu.
Apoorva HalikereChild Health Institute of New Jersey, Rutgers University-Robert Wood Johnson Medical School, Room 3233D, 89 French Street, New Brunswick, NJ 08901, USA; Department of Neuroscience and Cell Biology, Rutgers University-Robert Wood Johnson Medical School, Room 3233D, 89 French Street, New Brunswick, NJ 08901, USA.
Zhiping P PangChild Health Institute of New Jersey, Rutgers University-Robert Wood Johnson Medical School, Room 3233D, 89 French Street, New Brunswick, NJ 08901, USA; Department of Neuroscience and Cell Biology, Rutgers University-Robert Wood Johnson Medical School, Room 3233D, 89 French Street, New Brunswick, NJ 08901, USA. Electronic address: pangzh@rwjms.rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI Yunlong Liu · 1989 to 2026
$162.7M
Deciphering the neural basis of alcohol use disorders using human and mouse neuronsR01AA023797 · NIAAA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI ZHIPING P. PANG · 2016 to 2026
$4.8M
Neuronal basis of OPRM1 A118G polymorphism in alcohol use disordersF31AA024033 · NIAAA · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI HALIKERE, APOORVA · 2015 to 2017
$93k
NIAAA NIH HHS F31 AA024033NIAAA NIH HHS R01 AA023797NIAAA NIH HHS U10 AA008401
6 · The paper itself

Abstract

Alcohol use disorders (AUDs), which include alcohol abuse and dependence, are among the most common types of neuropsychiatric disorders in the United States (U.S.). Approximately 14% of the U.S. population is affected in a single year, thus placing a tremendous burden on individuals from all socioeconomic backgrounds. Animal models have been pivotal in revealing the basic mechanisms of how alcohol impacts neuronal function, yet there are currently limited effective therapies developed based on these studies. This is mainly due to a limited understanding of the exact cellular and molecular mechanisms underlying AUDs in humans, which leads to a lack of targeted therapeutics. Furthermore, compounding factors including genetic background, gene copy number variants, single nucleotide polymorphisms (SNP) as well as environmental and social factors that affect and promote the development of AUDs are complex and heterogeneous. Recent developments in stem cell biology, especially the human induced pluripotent stem (iPS) cell development and differentiation technologies, has provided us a unique opportunity to model neuropsychiatric disorders like AUDs in a manner that is highly complementary to animal studies, but that maintains fidelity with complex human genetic contexts. Patient-specific neuronal cells derived from iPS cells can then be used for drug discovery and precision medicine, e.g. for pathway-directed development in alcoholism. Here, we review recent work employing iPS cell technology to model and elucidate the genetic, molecular and cellular mechanisms of AUDs in a human neuronal background and provide our perspective on future development in this direction.

Indexed as

AlcoholismBipolar DisorderHumansInduced Pluripotent Stem CellsNeuronsPolymorphism, Single NucleotideReceptors, GABA-AReceptors, N-Methyl-D-AspartateSchizophreniaReceptors, GABA-AReceptors, N-Methyl-D-AspartateAlcohol use disorder (AUD)Central nervous system (CNS)Human disease modelingInduced neuronal cell (iN)Induced pluripotent stem (iPS) cell

Identifiers

PMID30087005
PMCPMC6167197
OpenAlexW2794750956

What OpenQuestion holds

Textmetadata
LicenceTDM
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.