Activation of glycine receptors in the lateral habenula rescues anxiety- and depression-like behaviors associated with alcohol withdrawal and reduces alcohol intake in rats-Reference-Cited by-同舟云学术

Activation of glycine receptors in the lateral habenula rescues anxiety- and depression-like behaviors associated with alcohol withdrawal and reduces alcohol intake in rats

Published:2019-10 Issue: Volume:157 Page:107688
ISSN:0028-3908
Container-title:Neuropharmacology
language:en
Short-container-title:Neuropharmacology

Author:

Li Wenting,Zuo Wanhong,Wu Wei,Zuo Qi Kang,Fu Rao^ORCID,Wu Liangzhi,Zhang Haifeng,Ndukwe Michael,Ye Jiang-Hong

Funder

NIH-NIAAA

Publisher

Elsevier BV

Subject

Cellular and Molecular Neuroscience,Pharmacology

Reference74 articles.

1. Ethanol modulation of the gamma-aminobutyric acidA- and glycine-activated Cl- current in cultured mouse neurons;Aguayo;J. Pharmacol. Exp. Ther.,1994

2. The distribution of glycine in cat spinal cord and roots;Aprison;Life Sci.,1965

3. Ethanol reduces neuronal excitability of lateral orbitofrontal cortex neurons via a glycine receptor dependent mechanism;Badanich;Neuropsychopharmacology,2013

4. Resolving the neural circuits of anxiety;Calhoon;Nat. Neurosci.,2015

5. Inhibitors of Glycine transporter-1: potential therapeutics for the treatment of CNS disorders;Cioffi;Curr. Top. Med. Chem.,2016

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Glycine-induced activation of GPR158 increases the intrinsic excitability of medium spiny neurons in the nucleus accumbens;Cellular and Molecular Life Sciences;2024-06-17

2. Associations of semaglutide with incidence and recurrence of alcohol use disorder in real-world population;Nature Communications;2024-05-28

3. HCN1 in the lateral habenula contributes to morphine abstinence-induced anxiety-like behaviors in male mice;Journal of Psychiatric Research;2024-03

4. Reducing the harms of alcohol: nutritional interventions and functional alcohol alternatives;International Review of Neurobiology;2024

5. A machine learning analysis of “big” metabolomics data for classifying depression: model development and validation;Biological Psychiatry;2023-12