Literature DB >> 35813936

Molecular Mechanisms Associated with Antidepressant Treatment on Major Depression.

Lívia Ramos-da-Silva1, Pamela T Carlson1, Licia C Silva-Costa1, Daniel Martins-de-Souza1,2,3,4, Valéria de Almeida1.   

Abstract

Major depressive disorder (MDD) is a complex and multifactorial psychiatric disorder that causes serious health, social, and economic concerns worldwide. The main treatment of the symptoms is through antidepressant (AD) drugs. However, not all patients respond properly to these drugs. Omic sciences are widely used to analyze not only biomarkers for the AD response but also their molecular mechanism. In this review, we aimed to focus on omics data to better understand the molecular mechanisms involving AD effects on MDD. We consistently found, from preclinical to clinical data, that glutamatergic transmission, immune/inflammatory processes, energy metabolism, oxidative stress, and lipid metabolism were associated with traditional and potential new ADs. Despite efforts of studies investigating biomarkers of response to ADs, which could contribute to personalized treatment, there is no biomarker panel available for clinical application. From clinical genomic studies, we found that the main findings contribute to the development of pharmacogenomic tests for AD efficacy for each patient. Several studies pointed at DRD2, PXDNL, CACNA1E, and CACNA2D1 genes as potential targets for MDD treatment and the efficacy and rapid-antidepressant effect of ketamine. Finally, more in-depth studies of the molecular targets pointed here are needed to determine the clinical relevance and provide further evidence for precision MDD treatment.
Copyright © 2021 by S. Karger AG, Basel.

Entities:  

Keywords:  Antidepressant; Genomics; Metabolomics; Proteomics; Transcriptomics

Year:  2021        PMID: 35813936      PMCID: PMC8739385          DOI: 10.1159/000518098

Source DB:  PubMed          Journal:  Complex Psychiatry        ISSN: 2673-298X


  70 in total

1.  Differential proteomic analysis of the anti-depressive effects of oleamide in a rat chronic mild stress model of depression.

Authors:  Lin Ge; Ming-Ming Zhu; Jing-Yu Yang; Fang Wang; Rong Zhang; Jing-Hai Zhang; Jing Shen; Hui-Fang Tian; Chun-Fu Wu
Journal:  Pharmacol Biochem Behav       Date:  2015-01-29       Impact factor: 3.533

2.  Impact of Pharmacogenomics on Clinical Outcomes for Patients Taking Medications With Gene-Drug Interactions in a Randomized Controlled Trial.

Authors:  Michael E Thase; Sagar V Parikh; Anthony J Rothschild; Boadie W Dunlop; Charles DeBattista; Charles R Conway; Brent P Forester; Francis M Mondimore; Richard C Shelton; Matthew Macaluso; James Li; Krystal Brown; Michael R Jablonski; John F Greden
Journal:  J Clin Psychiatry       Date:  2019-10-31       Impact factor: 4.384

3.  Blood-based immune-endocrine biomarkers of treatment response in depression.

Authors:  Man K Chan; Jason D Cooper; Mariska Bot; Tom K Birkenhager; Veerle Bergink; Hemmo A Drexhage; Johann Steiner; Matthias Rothermundt; Brenda W J H Penninx; Sabine Bahn
Journal:  J Psychiatr Res       Date:  2016-08-31       Impact factor: 4.791

4.  Combinatorial Pharmacogenomic Algorithm is Predictive of Citalopram and Escitalopram Metabolism in Patients with Major Depressive Disorder.

Authors:  Richard C Shelton; Sagar V Parikh; Rebecca A Law; Anthony J Rothschild; Michael E Thase; Boadie W Dunlop; Charles DeBattista; Charles R Conway; Brent P Forester; Matthew Macaluso; Daniel T Hain; Aime Lopez Aguilar; Krystal Brown; David J Lewis; Michael R Jablonski; John F Greden
Journal:  Psychiatry Res       Date:  2020-05-17       Impact factor: 3.222

5.  Canadian Network for Mood and Anxiety Treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. I. Classification, burden and principles of management.

Authors:  Scott B Patten; Sidney H Kennedy; Raymond W Lam; Claire O'Donovan; Marie J Filteau; Sagar V Parikh; Arun V Ravindran
Journal:  J Affect Disord       Date:  2009-08-12       Impact factor: 4.839

6.  An integrative metabolomics and network pharmacology method for exploring the effect and mechanism of Radix Bupleuri and Radix Paeoniae Alba on anti-depression.

Authors:  Hongcai Zhang; Shuxiang Zhang; Mingxu Hu; Yanyan Chen; Wenran Wang; Ke Zhang; Haixue Kuang; Qiuhong Wang
Journal:  J Pharm Biomed Anal       Date:  2020-07-02       Impact factor: 3.935

7.  Electroconvulsive therapy suppresses the neurotoxic branch of the kynurenine pathway in treatment-resistant depressed patients.

Authors:  Lilly Schwieler; Martin Samuelsson; Mark A Frye; Maria Bhat; Ina Schuppe-Koistinen; Oscar Jungholm; Anette G Johansson; Mikael Landén; Carl M Sellgren; Sophie Erhardt
Journal:  J Neuroinflammation       Date:  2016-02-29       Impact factor: 8.322

8.  Exploratory genome-wide association analysis of response to ketamine and a polygenic analysis of response to scopolamine in depression.

Authors:  Wei Guo; Rodrigo Machado-Vieira; Sanjay Mathew; James W Murrough; Dennis S Charney; Matthew Grunebaum; Maria A Oquendo; Bashkim Kadriu; Nirmala Akula; Ioline Henter; Peixiong Yuan; Kathleen Merikangas; Wayne Drevets; Maura Furey; J John Mann; Francis J McMahon; Carlos A Zarate; Yin Yao Shugart
Journal:  Transl Psychiatry       Date:  2018-12-14       Impact factor: 6.222

9.  Loss of the psychiatric risk factor SLC6A15 is associated with increased metabolic functions in primary hippocampal neurons.

Authors:  Karla-Gerlinde Schraut; Oleksandra Kalnytska; Daniel Lamp; Martin Jastroch; Matthias Eder; Felix Hausch; Nils C Gassen; Sarah Moore; Nagarjuna Nagaraj; Juan P Lopez; Alon Chen; Mathias V Schmidt
Journal:  Eur J Neurosci       Date:  2020-10-19       Impact factor: 3.386

10.  Diterpene Ginkgolides Exert an Antidepressant Effect Through the NT3-TrkA and Ras-MAPK Pathways.

Authors:  Ting Wang; Shunjie Bai; Wei Wang; Zhi Chen; Jianjun Chen; Zihong Liang; Xunzhong Qi; Hailan Shen; Peng Xie
Journal:  Drug Des Devel Ther       Date:  2020-03-31       Impact factor: 4.319

View more
  1 in total

Review 1.  Postsynaptic Proteins at Excitatory Synapses in the Brain-Relationship with Depressive Disorders.

Authors:  Sylwia Samojedny; Ewelina Czechowska; Patrycja Pańczyszyn-Trzewik; Magdalena Sowa-Kućma
Journal:  Int J Mol Sci       Date:  2022-09-28       Impact factor: 6.208

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.