Margineanu Doru Georg
Department of Neurosciences, Faculty of Medicine and Pharmacy, University of Mons, Ave. Champ de Mars 6, B-7000 Mons, Belgium.
Biosystems. 2016 Mar;141:1-9. doi: 10.1016/j.biosystems.2015.11.010. Epub 2015 Dec 23.
Neuropharmacology had several major past successes, but the last few decades did not witness any leap forward in the drug treatment of brain disorders. Moreover, current drugs used in neurology and psychiatry alleviate the symptoms, while hardly curing any cause of disease, basically because the etiology of most neuro-psychic syndromes is but poorly known. This review argues that this largely derives from the unbalanced prevalence in neuroscience of the analytic reductionist approach, focused on the cellular and molecular level, while the understanding of integrated brain activities remains flimsier. The decline of drug discovery output in the last decades, quite obvious in neuropharmacology, coincided with the advent of the single target-focused search of potent ligands selective for a well-defined protein, deemed critical in a given pathology. However, all the widespread neuro-psychic troubles are multi-mechanistic and polygenic, their complex etiology making unsuited the single-target drug discovery. An evolving approach, based on systems biology considers that a disease expresses a disturbance of the network of interactions underlying organismic functions, rather than alteration of single molecular components. Accordingly, systems pharmacology seeks to restore a disturbed network via multi-targeted drugs. This review notices that neuropharmacology in fact relies on drugs which are multi-target, this feature having occurred just because those drugs were selected by phenotypic screening in vivo, or emerged from serendipitous clinical observations. The novel systems pharmacology aims, however, to devise ab initio multi-target drugs that will appropriately act on multiple molecular entities. Though this is a task much more complex than the single-target strategy, major informatics resources and computational tools for the systemic approach of drug discovery are already set forth and their rapid progress forecasts promising outcomes for neuropharmacology.
神经药理学在过去取得了几项重大成功,但在过去几十年里,脑部疾病的药物治疗并未取得任何飞跃。此外,目前神经学和精神病学中使用的药物只能缓解症状,却几乎无法治愈任何病因,这主要是因为大多数神经精神综合征的病因还知之甚少。本综述认为,这在很大程度上源于神经科学中分析还原论方法的不均衡盛行,该方法专注于细胞和分子水平,而对大脑综合活动的理解仍然较为薄弱。在过去几十年里,药物研发产出的下降在神经药理学中十分明显,这与专注于寻找对特定蛋白质具有选择性的强效配体的单靶点研究的出现相吻合,这种蛋白质被认为在特定病理中至关重要。然而,所有广泛存在的神经精神疾病都是多机制和多基因的,其复杂的病因使得单靶点药物研发并不适用。一种基于系统生物学的不断发展的方法认为,疾病表现为机体功能潜在相互作用网络的紊乱,而不是单个分子成分的改变。因此,系统药理学试图通过多靶点药物来恢复紊乱的网络。本综述指出,神经药理学实际上依赖于多靶点药物,这一特点的出现仅仅是因为这些药物是通过体内表型筛选选择出来的,或者是从偶然的临床观察中出现的。然而,新型系统药理学的目标是从头设计能对多个分子实体产生适当作用的多靶点药物。尽管这一任务比单靶点策略复杂得多,但药物研发系统方法的主要信息资源和计算工具已经提出,其快速发展预示着神经药理学将取得有前景的成果。