Literature DB >> 27588527

Progress With Nonhuman Animal Models of Addiction.

John C Crabbe1.   

Abstract

Nonhuman animals have been major contributors to the science of the genetics of addiction. Given the explosion of interest in genetics, it is fair to ask, are we making reasonable progress toward our goals with animal models? I will argue that our goals are changing and that overall progress has been steady and seems likely to continue apace. Genetics tools have developed almost incredibly rapidly, enabling both more reductionist and more synthetic or integrative approaches. I believe that these approaches to making progress have been unbalanced in biomedical science, favoring reductionism, particularly in animal genetics. I argue that substantial, novel progress is also likely to come in the other direction, toward synthesis and abstraction. Another area in which future progress with genetic animal models seems poised to contribute more is the reconciliation of human and animal phenotypes, or consilience. The inherent power of the genetic animal models could be more profitably exploited. In the end, animal research has continued to provide novel insights about how genes influence individual differences in addiction risk and consequences. The rules of the genetics game are changing so fast that it is hard to remember how comparatively little we knew even a generation ago. Rather than worry about whether we have been wasting time and resources asking the questions we have been, we should look to the future and see if we can come up with some new ones. The valuable findings from the past will endure, and the sidetracks will be forgotten.

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Year:  2016        PMID: 27588527      PMCID: PMC5015466          DOI: 10.15288/jsad.2016.77.696

Source DB:  PubMed          Journal:  J Stud Alcohol Drugs        ISSN: 1937-1888            Impact factor:   2.582


  18 in total

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Authors:  M A Enoch; D Goldman
Journal:  Curr Psychiatry Rep       Date:  2001-04       Impact factor: 5.285

Review 2.  Coexpression and cosplicing network approaches for the study of mammalian brain transcriptomes.

Authors:  Ovidiu Dan Iancu; Alexandre Colville; Priscila Darakjian; Robert Hitzemann
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Review 3.  High-throughput functional genomics using CRISPR-Cas9.

Authors:  Ophir Shalem; Neville E Sanjana; Feng Zhang
Journal:  Nat Rev Genet       Date:  2015-04-09       Impact factor: 53.242

4.  Identification of a QTL in Mus musculus for alcohol preference, withdrawal, and Ap3m2 expression using integrative functional genomics and precision genetics.

Authors:  Jason A Bubier; Jeremy J Jay; Christopher L Baker; Susan E Bergeson; Hiroshi Ohno; Pamela Metten; John C Crabbe; Elissa J Chesler
Journal:  Genetics       Date:  2014-06-11       Impact factor: 4.562

5.  Loss of metabotropic glutamate receptor 2 escalates alcohol consumption.

Authors:  Zhifeng Zhou; Camilla Karlsson; Tiebing Liang; Wei Xiong; Mitsuru Kimura; Jenica D Tapocik; Qiaoping Yuan; Estelle Barbier; Austin Feng; Meghan Flanigan; Eric Augier; Mary-Anne Enoch; Colin A Hodgkinson; Pei-Hong Shen; David M Lovinger; Howard J Edenberg; Markus Heilig; David Goldman
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

Review 6.  Genes, behavior and next-generation RNA sequencing.

Authors:  R Hitzemann; D Bottomly; P Darakjian; N Walter; O Iancu; R Searles; B Wilmot; S McWeeney
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7.  Illuminating next-generation brain therapies.

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Review 8.  Neural and behavioral epigenetics; what it is, and what is hype.

Authors:  A R Isles
Journal:  Genes Brain Behav       Date:  2015-01       Impact factor: 3.449

9.  GeneWeaver: a web-based system for integrative functional genomics.

Authors:  Erich J Baker; Jeremy J Jay; Jason A Bubier; Michael A Langston; Elissa J Chesler
Journal:  Nucleic Acids Res       Date:  2011-11-12       Impact factor: 16.971

Review 10.  Advanced In vivo Use of CRISPR/Cas9 and Anti-sense DNA Inhibition for Gene Manipulation in the Brain.

Authors:  Brandon J Walters; Amber B Azam; Colleen J Gillon; Sheena A Josselyn; Iva B Zovkic
Journal:  Front Genet       Date:  2016-01-12       Impact factor: 4.599

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  6 in total

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Authors:  Amanda J Roberts; Linzy Casal; Salvador Huitron-Resendiz; Trey Thompson; Lisa M Tarantino
Journal:  Psychopharmacology (Berl)       Date:  2018-01-29       Impact factor: 4.530

2.  Short-Term Genetic Selection for Adolescent Locomotor Sensitivity to Delta9-Tetrahydrocannabinol (THC).

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Journal:  Behav Genet       Date:  2018-03-17       Impact factor: 2.805

3.  Acute and long-term effects of Δ9-tetrahydrocannabinol on object recognition and anxiety-like activity are age- and strain-dependent in mice.

Authors:  C R Kasten; Y Zhang; S L Boehm
Journal:  Pharmacol Biochem Behav       Date:  2017-10-28       Impact factor: 3.533

Review 4.  Shaping vulnerability to addiction - the contribution of behavior, neural circuits and molecular mechanisms.

Authors:  Gabor Egervari; Roberto Ciccocioppo; J David Jentsch; Yasmin L Hurd
Journal:  Neurosci Biobehav Rev       Date:  2017-05-29       Impact factor: 8.989

5.  A preclinical model for identifying rats at risk of alcohol use disorder.

Authors:  Kshitij S Jadhav; Pierre J Magistretti; Olivier Halfon; Marc Augsburger; Benjamin Boutrel
Journal:  Sci Rep       Date:  2017-08-25       Impact factor: 4.379

Review 6.  Alcohol Induced Brain and Liver Damage: Advantages of a Porcine Alcohol Use Disorder Model.

Authors:  Soo K Shin; Erin E Kaiser; Franklin D West
Journal:  Front Physiol       Date:  2021-01-07       Impact factor: 4.566

  6 in total

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