Evidence map›Paper›PMID 39844554›Full record

ReviewCurrent gene therapy2025

Exploring Genetic and Receptor-Based Dopaminergic Strategies for Antidepressant Drug Development.

Arzoo Pannu, Ramesh K Goyal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current gene therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

2 authors.

Arzoo PannuDepartment of Pharmacology, Delhi Pharmaceutical Sciences & Research University, Delhi, 110017, India.
Ramesh K GoyalDepartment of Pharmacology, Delhi Pharmaceutical Sciences & Research University, Delhi, 110017, India.

Funding

Department of Science and Technology, Ministry of Science and Technology, India IF 170821, 2017
6 · The paper itself

Abstract

The dopamine (DA) system is central to mood regulation, motivation, and reward processing, making it a critical focus for understanding Major Depressive Disorder (MDD). While the dopaminergic system's role in MDD pathophysiology has been acknowledged, gaps remain in linking specific receptor subtypes and genetic factors to depression-like phenotypes. This study explores the interplay between dopamine receptor subtypes (D1-D5) and associated genetic variations, particularly focusing on receptor heterodimers and polymorphisms influencing dopamine biosynthesis, signalling, and metabolism. A comprehensive review of molecular mechanisms highlights key findings; alterations in D1-D2 heterodimers contribute to mood dysregulation; D3 receptor downregulation correlates with depressive behaviour; and genetic polymorphisms, including those in tyrosine hydroxylase and dopamine transporter (DAT) genes, influence dopamine levels and receptor functions. Emerging data from neuroimaging and animal models confirm the pivotal role of dopamine receptor subtypes in MDD, offering insights into their therapeutic targeting. Here, we show that dopaminergic dysfunction underpins MDD's pathophysiology, with receptor-specific mechanisms presenting novel drug targets. Understanding these pathways facilitates precision medicine approaches, bridging the gap between genetic predisposition and receptor pharmacology, and paving the way for tailored antidepressant strategies with improved efficacy and reduced side effects.

Indexed as

Antidepressive AgentsDopamineMajor Depressive DisorderReceptors, DopamineAnimalsDopamine Plasma Membrane Transport ProteinsDrug DevelopmentHumansPolymorphism, GeneticAntidepressive AgentsDopamineDopamine Plasma Membrane Transport ProteinsReceptors, Dopamineanti-depressant treatmentcognitive impairmentDepressiondopamine hypothesisdopamine receptorsneurotransmitters.

Identifiers

What OpenQuestion holds

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Registered trials

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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.