Evidence map›Paper›PMID 37782408›Full record

ArticleNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2023

D1R-5-HT2AR Uncoupling Reduces Depressive Behaviours via HDAC Signalling.

Weifen Li, Tahir Ali, Shengnan Mou, Qichao Gong, Ningning Li, Liangliang Hao, Zhi-Jian Yu, Shupeng Li

Open access · bronzeAbstract read
In one paragraph

Article in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Erythropoietin (EPO) Alleviates Chronic Stress-Induced Depression by Modulating SIRT1-Mediated Mitochondrial Function.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2025
    Article
  2. Article
  3. 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

8 authors at 5 institutions in 2 countries.

Weifen LiState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
Tahir AliState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
Shengnan MouState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
Qichao GongState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
Ningning LiDepartment of Neurology, School of Medicine, Affiliated ZhongDa Hospital, Southeast University, Nanjing, China.
Liangliang HaoHospital of Chengdu, University of Traditional Chinese Medicine, No.39 Shi-er-qiao Road, Chengdu, People's Republic of China.
Zhi-Jian YuDepartment of Infectious Diseases and Shenzhen Key Laboratory for Endogenous Infections, the 6th Affiliated Hospital of Shenzhen University Health Science Center, No 89, Taoyuan Road, Nanshan District, Shenzhen, 518052, China. yuzhijiansmu@163.com.
Shupeng LiState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, 518055, China. lisp@pku.edu.cn.ORCID 0000-0002-7807-374X
Peking University · CNCentre for Addiction and Mental Health · CAChengdu University of Traditional Chinese Medicine · CNShenzhen University Health Science Center · CNSun Yat-sen University · CN

Funding

Grants Science and Technology Innovation Committee of Shenzhen JCYJ20170810163329510Guangdong Basic and Applied Basic Research Foundation 2022A1515110205Guangdong Basic and Applied Basic Research Foundation 2023A1515011957National Natural Science Foundation of China 82072112Sanming Project of Medicine in Shenzhen SZSM201911003Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions 2019SHIBS0004Shenzhen Key Medical Discipline Construction Fund SZXK06162
6 · The paper itself

Abstract

Dopamine and serotonin signalling are associated with major depressive disorder, which is a prevalent life-threatening illness worldwide. Numerous FDA-approved dopamine/serotonin signalling-modifying drugs are available but are associated with concurrent side effects and limited efficacy. Thus, identifying and targeting their signalling pathway is crucial for improving depression treatment. Here, we determined that serotonin receptor 2A (5-HT2AR) abundantly forms a protein complex with dopamine receptor 1 (D1R) in high abundance via its carboxy-terminus in the brains of mice subjected to various chronic stress paradigms. Furthermore, the D1R/5-HT2AR interaction elicited CREB/ERK/AKT modulation during synaptic regulation. An interfering peptide (TAT-5-HT2AR-SV) agitated the D1R/5-HT2AR interaction and attenuated depressive symptoms accompanied by CREB/ERK molecule costimulation. Interestingly, HDAC antagonism but not TrkB antagonism reversed the antidepressant effect of competitive peptides. These findings revealed a novel D1R/5-HT2AR heteroreceptor complex mechanism in the pathophysiology of depression, and their uncoupling ameliorates depressive-like behaviours through HDAC-, and not BDNF-, dependent mechanisms.

Indexed as

Major Depressive DisorderReceptors, DopamineAnimalsAntidepressive AgentsDopamineMiceSerotoninAntidepressive AgentsDopamineReceptors, DopamineSerotonin5-HT2ARBDNFD1RDepressionHDAC

Identifiers

PMID37782408
PMCPMC10684469
OpenAlexW4387241943

What OpenQuestion holds

Textmetadata
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.