Novel drug developmental strategies for treatment‐resistant depression

Major depressive disorder is a leading cause of disability worldwide. Because conventional therapies are ineffective in many patients, novel strategies are needed to overcome treatment‐resistant depression (TRD). Limiting factors of successful drug development in the last decades were the lack of (1...

Full description

Saved in:
Bibliographic Details
Published inBritish journal of pharmacology Vol. 179; no. 6; pp. 1146 - 1186
Main Authors Borbély, Éva, Simon, Mária, Fuchs, Eberhard, Wiborg, Ove, Czéh, Boldizsár, Helyes, Zsuzsanna
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.03.2022
John Wiley and Sons Inc
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Major depressive disorder is a leading cause of disability worldwide. Because conventional therapies are ineffective in many patients, novel strategies are needed to overcome treatment‐resistant depression (TRD). Limiting factors of successful drug development in the last decades were the lack of (1) knowledge of pathophysiology, (2) translational animal models and (3) objective diagnostic biomarkers. Here, we review novel drug targets and drug candidates currently investigated in Phase I–III clinical trials. The most promising approaches are inhibition of glutamatergic neurotransmission by NMDA and mGlu5 receptor antagonists, modulation of the opioidergic system by κ receptor antagonists, and hallucinogenic tryptamine derivates. The only registered drug for TRD is the NMDA receptor antagonist, S‐ketamine, but add‐on therapies with second‐generation antipsychotics, certain nutritive, anti‐inflammatory and neuroprotective agents seem to be effective. Currently, there is an intense research focus on large‐scale, high‐throughput omics and neuroimaging studies. These results might provide new insights into molecular mechanisms and potential novel therapeutic strategies.
Bibliography:Funding information
János Bolyai Research Scholarship of the Hungarian Academy of Sciences, Grant/Award Number: BO/00592/19/5; EU Social Fund, Grant/Award Number: EFOP‐3.6.1‐16‐2016‐00004 EFOP‐3.6.2‐16‐2017‐00008; Hungarian Brain Research Program, Grant/Award Number: 2017‐1.2.1‐NKP‐2017‐00002; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Grant/Award Numbers: TKP2020‐IKA‐08, 2020‐4.1.1‐TKP2020, OTKA FK137951, OTKA K138046, ÚNKP‐21‐5‐PTE‐998; Pécsi Tudományegyetem (Szolcsányi János Research Fund)
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
Funding information János Bolyai Research Scholarship of the Hungarian Academy of Sciences, Grant/Award Number: BO/00592/19/5; EU Social Fund, Grant/Award Number: EFOP‐3.6.1‐16‐2016‐00004 EFOP‐3.6.2‐16‐2017‐00008; Hungarian Brain Research Program, Grant/Award Number: 2017‐1.2.1‐NKP‐2017‐00002; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Grant/Award Numbers: TKP2020‐IKA‐08, 2020‐4.1.1‐TKP2020, OTKA FK137951, OTKA K138046, ÚNKP‐21‐5‐PTE‐998; Pécsi Tudományegyetem (Szolcsányi János Research Fund)
ISSN:0007-1188
1476-5381
1476-5381
DOI:10.1111/bph.15753