Models of depression for preclinical drug discovery and development: an update of the literature.

IF 7.3 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Expert Opinion on Drug Discovery Pub Date : 2026-10-01 Epub Date: 2026-08-19 DOI:10.1080/17460441.2026.2716135
Pavlina Pavlidi, Dimitrios Kalampokis, Ifigeneia Ioannidi, Kalliopi Skourti, Ioannis Sotiropoulos, Katerina Antoniou, Christina Dalla, Nikolaos Kokras
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引用次数: 0

Abstract

Introduction: Depression is a heterogeneous and multifactorial condition with substantial unmet therapeutic need. Despite significant research, current pharmacotherapies remain limited in efficacy and onset, reflecting an incomplete understanding of underlying pathophysiology. Animal models have therefore been central to dissecting biological mechanisms and enabling antidepressant drug discovery.

Area covered: This review provides a synthesis of animal models of depression, including stress paradigms, developmental and genetic models, neuroendocrine manipulations, immune-based, metabolic and hormone-related models. PubMed was searched from database inception to March 2026 using depression-, species-, and model-specific terms. Each paradigm is evaluated in terms of face, construct, and predictive validity, with emphasis on relevance to drug discovery. Converging evidence across models highlights shared pathophysiological domains, including HPA axis dysregulation, neuroinflammation, monoaminergic and glutamatergic imbalance, and impaired neuroplasticity.

Expert opinion: No single model captures the complexity of depression; thus, reliance on isolated paradigms may contribute to translational failure. Future progress will depend on multimodal and endophenotype-driven approaches that align biological mechanisms with defined subtypes (e.g. inflammation-associated, hormone-sensitive, or stress-related depression). Integration of animal models with human-relevant data and sex-informed experimental design will advance precision psychiatry, improving predictive validity of preclinical antidepressant discovery.

抑郁症的临床前药物发现和开发模型:文献更新。
抑郁症是一种异质性和多因素的疾病,有大量未满足的治疗需求。尽管有重要的研究,目前的药物治疗在疗效和发病方面仍然有限,反映了对潜在病理生理的不完整理解。因此,动物模型对于解剖生物学机制和发现抗抑郁药物至关重要。涵盖领域:本文综述了抑郁症的动物模型,包括应激范式、发育和遗传模型、神经内分泌模型、免疫模型、代谢模型和激素相关模型。PubMed从数据库建立到2026年3月,使用抑郁症、物种和特定模型的术语进行检索。每个范式都是根据面孔、结构和预测有效性来评估的,重点是与药物发现的相关性。各模型间的证据趋同强调了共同的病理生理领域,包括HPA轴失调、神经炎症、单胺能和谷氨酸能失衡以及神经可塑性受损。专家意见:没有单一的模型能反映抑郁症的复杂性;因此,对孤立范例的依赖可能导致翻译失败。未来的进展将取决于多模式和内表型驱动的方法,这些方法将生物学机制与定义的亚型(如炎症相关、激素敏感或压力相关的抑郁症)结合起来。整合动物模型与人类相关数据和性别知情的实验设计将推进精确精神病学,提高临床前抗抑郁药物发现的预测有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.
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