中枢神经系统疾病的药物发现

Menelas N. Pangalos Ph.D. (Guest Editors, Vice President), Christopher C. Gallen M.D., Ph.D. (Guest Editors)
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Nevertheless, the majority of neurotherapeutics developed over the past three decades have been derived from serendipitous observations or oversimplified neurochemical hypotheses; the dopaminergic dysfunction of Parkinson’s disease, the acetylcholine deficit observed in the basal forebrain of Alzheimer’s disease patients, and the dopaminergic hyperfunction of schizophrenia are three such examples. Such hypotheses have led to the development and commercialization of medicines that, although providing clear benefit to patients, have still left much room for improvement in terms of both efficacy and tolerability. These therapies also help to highlight many of the limitations of our disease understanding because they are fairly uniformly unable to address the underlying etiology of any of the devastating diseases they are aimed to treat. Moreover, despite the increasing knowledge of the underlying substrates of neurological and psychiatric disease, despite dramatic increases in our ability to use biomarkers and imaging to mechanistically assess the potential actions of new therapeutics, and despite massive industrial investments in the development of new therapies for CNS diseases, success rates for pharmaceutical development have reached historical lows over the past several years. In this issue of NeuroRx®, better understanding of the characteristics of successful therapeutics (Pajouhesh and Lenz) and better strategies to adapt to emerging legal processes and standards needed to protect intellectual property (Gersten) are both seen as needed to improve the possibility for successful commercial development of new therapies. \n \nThe era of the human genome has now revealed a bountiful supply of innovative and exciting drug discovery targets filled with potential for treating not only the symptoms but perhaps even the underlying causes of seemingly incurable neurological and neuropsychiatric diseases. Furthermore, the advent of exponential improvements in areas such as high-throughput screening, robotics, molecular modeling, and data handling, coupled with the large advances in medicinal chemistry capacity and output, have meant that the number of targets now available for drug discovery efforts is at an all-time peak. Although the hopes and expectations of the world for breakthrough therapies may be high, never before have the challenges facing drug discovery scientists been harder. In fact, it is clear that the more we discover and understand about diseases of the CNS, the more surprises we find and the more we realize that there is much we do not understand. Whereas clinical diagnostics have focused on common phenotypes, deeper investigation reveals that the underlying causes of common phenotypes can be diverse and not susceptible to a single treatment intervention. Even the most seemingly simple genetic disorder, cystic fibrosis for example, can be caused by as many as 1000 different gene mutations, each one resulting in a subtly different biochemical change. One mutation may alter the maximum velocity of a protein, another the Michaelis constant, and a third may produce a functionally normal protein with a different stability or a tendency to aggregate. The chance a single intervention would reverse these three different defects causing a common phenotype is small. Understanding that diseases are not homogeneous in a patient population is perhaps one of the most significant realizations of modern medicine and drug discovery, and yet this knowledge now opens the next immense set of challenges for the field of neurotherapeutics. Using the collective tools of translational medicine such as gene expression profiling, biomarker identification, pharmacogenomics, and neuroimaging, we will be in a better position to diagnose and characterize the pathophysiological state of patient’s disease, resulting in therapies better tailored to the individuals unique needs. In this issue, new approaches in understanding the nature of disease and the process of drug action (Hilbush et al., Gomez-Mancilla and colleagues, and Hurko and Ryan) promise to improve the choice of therapeutic targets and the preclinical validation of therapeutic agent action as well as improve patient selection and so enhance the eventual probability of success of materials placed into clinical trials. Even if such therapies are still years away, it is clear that our best chance of delivering on these aspirations is through the combined collaborative efforts of academic, government, regulatory, and industrial partnerships around the globe. \n \nIn the pages to follow, we have put together an issue demonstrating examples of the strategies being pursued, ranging from the very earliest stages of target identification through to the discovery and validation of efficacy biomarkers in the clinic. The richness and complex interaction of systems underlying CNS function and pathophysiology generate enormous intellectual challenges for our community of neurotherapeutic developers. In this issue, some of the CNS disease targets where increased understanding has opened up opportunities for transformative therapies (Ossipov and Porecca, Snutch, Virley, Pangalos and colleagues, Schechter et al., and Marek and Merchant) are described. The hurdles for drug discovery scientists remain enormous, but as we increase our understanding of brain function and pathophysiology we will surely better address the challenge of successfully developing drugs that can change the treatment paradigm for patients. Ultimately, our success over the coming decade will be determined by future therapies reaching the marketplace and whether we are able to move away from palliative symptomatic therapies and on to the “holy grail” of disease-modifying treatments.","PeriodicalId":87195,"journal":{"name":"NeuroRx : the journal of the American Society for Experimental NeuroTherapeutics","volume":"2 4","pages":"Pages 539-540"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1602/neurorx.2.4.539","citationCount":"1","resultStr":"{\"title\":\"Drug Discovery for Disorders of the Central Nervous System\",\"authors\":\"Menelas N. Pangalos Ph.D. (Guest Editors, Vice President), Christopher C. 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Such hypotheses have led to the development and commercialization of medicines that, although providing clear benefit to patients, have still left much room for improvement in terms of both efficacy and tolerability. These therapies also help to highlight many of the limitations of our disease understanding because they are fairly uniformly unable to address the underlying etiology of any of the devastating diseases they are aimed to treat. Moreover, despite the increasing knowledge of the underlying substrates of neurological and psychiatric disease, despite dramatic increases in our ability to use biomarkers and imaging to mechanistically assess the potential actions of new therapeutics, and despite massive industrial investments in the development of new therapies for CNS diseases, success rates for pharmaceutical development have reached historical lows over the past several years. In this issue of NeuroRx®, better understanding of the characteristics of successful therapeutics (Pajouhesh and Lenz) and better strategies to adapt to emerging legal processes and standards needed to protect intellectual property (Gersten) are both seen as needed to improve the possibility for successful commercial development of new therapies. \\n \\nThe era of the human genome has now revealed a bountiful supply of innovative and exciting drug discovery targets filled with potential for treating not only the symptoms but perhaps even the underlying causes of seemingly incurable neurological and neuropsychiatric diseases. Furthermore, the advent of exponential improvements in areas such as high-throughput screening, robotics, molecular modeling, and data handling, coupled with the large advances in medicinal chemistry capacity and output, have meant that the number of targets now available for drug discovery efforts is at an all-time peak. Although the hopes and expectations of the world for breakthrough therapies may be high, never before have the challenges facing drug discovery scientists been harder. In fact, it is clear that the more we discover and understand about diseases of the CNS, the more surprises we find and the more we realize that there is much we do not understand. Whereas clinical diagnostics have focused on common phenotypes, deeper investigation reveals that the underlying causes of common phenotypes can be diverse and not susceptible to a single treatment intervention. Even the most seemingly simple genetic disorder, cystic fibrosis for example, can be caused by as many as 1000 different gene mutations, each one resulting in a subtly different biochemical change. One mutation may alter the maximum velocity of a protein, another the Michaelis constant, and a third may produce a functionally normal protein with a different stability or a tendency to aggregate. The chance a single intervention would reverse these three different defects causing a common phenotype is small. Understanding that diseases are not homogeneous in a patient population is perhaps one of the most significant realizations of modern medicine and drug discovery, and yet this knowledge now opens the next immense set of challenges for the field of neurotherapeutics. Using the collective tools of translational medicine such as gene expression profiling, biomarker identification, pharmacogenomics, and neuroimaging, we will be in a better position to diagnose and characterize the pathophysiological state of patient’s disease, resulting in therapies better tailored to the individuals unique needs. In this issue, new approaches in understanding the nature of disease and the process of drug action (Hilbush et al., Gomez-Mancilla and colleagues, and Hurko and Ryan) promise to improve the choice of therapeutic targets and the preclinical validation of therapeutic agent action as well as improve patient selection and so enhance the eventual probability of success of materials placed into clinical trials. Even if such therapies are still years away, it is clear that our best chance of delivering on these aspirations is through the combined collaborative efforts of academic, government, regulatory, and industrial partnerships around the globe. \\n \\nIn the pages to follow, we have put together an issue demonstrating examples of the strategies being pursued, ranging from the very earliest stages of target identification through to the discovery and validation of efficacy biomarkers in the clinic. 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引用次数: 1

摘要

在科学和医学史上,我们从来没有像现在这样了解大脑的功能,以及导致大脑最终破坏和功能失调的疾病。在疫苗接种后的世界里,我们已经梳理了许多关于导致一些最具破坏性疾病折磨人类的病理级联、基因突变和环境影响的细节。然而,在过去三十年中发展起来的大多数神经疗法都是来自偶然的观察或过于简化的神经化学假设;帕金森病的多巴胺能功能障碍、阿尔茨海默病患者基底前脑的乙酰胆碱缺陷以及精神分裂症的多巴胺能功能亢进就是三个这样的例子。这些假设导致了药物的开发和商业化,尽管这些药物为患者提供了明显的益处,但在疗效和耐受性方面仍有很大的改进空间。这些疗法也有助于突出我们对疾病理解的许多局限性,因为它们相当一致地无法解决它们旨在治疗的任何破坏性疾病的潜在病因。此外,尽管我们对神经和精神疾病的潜在基础的了解不断增加,尽管我们使用生物标志物和成像来机械地评估新疗法的潜在作用的能力急剧提高,尽管在开发中枢神经系统疾病的新疗法方面投入了大量的工业投资,但在过去的几年里,药物开发的成功率已经达到了历史最低点。在本期《NeuroRx®》中,我们认为需要更好地了解成功疗法(Pajouhesh和Lenz)的特点,以及更好地适应保护知识产权所需的新兴法律流程和标准(Gersten)的策略,以提高新疗法成功商业开发的可能性。人类基因组时代现在已经揭示了丰富的创新和令人兴奋的药物发现目标,这些目标充满了治疗症状的潜力,甚至可能治疗看似无法治愈的神经和神经精神疾病的潜在原因。此外,高通量筛选、机器人技术、分子建模和数据处理等领域的指数级改进,加上药物化学能力和产量的巨大进步,意味着现在可用于药物发现工作的靶标数量达到了历史最高水平。尽管世界对突破性疗法的希望和期望可能很高,但药物发现科学家面临的挑战从未像现在这样艰难。事实上,很明显,我们对中枢神经系统疾病的发现和了解越多,我们发现的惊喜就越多,我们也就越意识到,我们不了解的东西还有很多。尽管临床诊断集中在常见的表型上,但更深入的研究表明,常见表型的潜在原因可能是多种多样的,而且不容易受到单一治疗干预的影响。即使是看似最简单的遗传疾病,例如囊性纤维化,也可能由多达1000种不同的基因突变引起,每一种突变都会导致细微不同的生化变化。一种突变可能改变蛋白质的最大速度,另一种可能改变米切里斯常数,第三种可能产生功能正常的蛋白质,但稳定性或聚集倾向不同。单次干预就能逆转这三种不同的缺陷导致共同表型的可能性很小。认识到疾病在患者群体中是不同质的,这也许是现代医学和药物发现中最重要的认识之一,但这一认识现在为神经治疗领域带来了下一个巨大的挑战。利用转化医学的集体工具,如基因表达谱、生物标志物鉴定、药物基因组学和神经影像学,我们将能够更好地诊断和描述患者疾病的病理生理状态,从而更好地针对个体的独特需求进行治疗。在这一期中,理解疾病本质和药物作用过程的新方法(Hilbush等人,Gomez-Mancilla及其同事,Hurko和Ryan)承诺改善治疗靶点的选择和治疗药物作用的临床前验证,以及改善患者的选择,从而提高材料最终成功进入临床试验的可能性。即使这样的治疗方法还需要几年的时间,但很明显,我们实现这些愿望的最佳机会是通过全球学术界、政府、监管机构和工业伙伴的共同努力。 在科学和医学史上,我们从来没有像现在这样了解大脑的功能,以及导致大脑最终破坏和功能失调的疾病。在疫苗接种后的世界里,我们已经梳理了许多关于导致一些最具破坏性疾病折磨人类的病理级联、基因突变和环境影响的细节。然而,在过去三十年中发展起来的大多数神经疗法都是来自偶然的观察或过于简化的神经化学假设;帕金森病的多巴胺能功能障碍、阿尔茨海默病患者基底前脑的乙酰胆碱缺陷以及精神分裂症的多巴胺能功能亢进就是三个这样的例子。这些假设导致了药物的开发和商业化,尽管这些药物为患者提供了明显的益处,但在疗效和耐受性方面仍有很大的改进空间。这些疗法也有助于突出我们对疾病理解的许多局限性,因为它们相当一致地无法解决它们旨在治疗的任何破坏性疾病的潜在病因。此外,尽管我们对神经和精神疾病的潜在基础的了解不断增加,尽管我们使用生物标志物和成像来机械地评估新疗法的潜在作用的能力急剧提高,尽管在开发中枢神经系统疾病的新疗法方面投入了大量的工业投资,但在过去的几年里,药物开发的成功率已经达到了历史最低点。在本期《NeuroRx®》中,我们认为需要更好地了解成功疗法(Pajouhesh和Lenz)的特点,以及更好地适应保护知识产权所需的新兴法律流程和标准(Gersten)的策略,以提高新疗法成功商业开发的可能性。人类基因组时代现在已经揭示了丰富的创新和令人兴奋的药物发现目标,这些目标充满了治疗症状的潜力,甚至可能治疗看似无法治愈的神经和神经精神疾病的潜在原因。此外,高通量筛选、机器人技术、分子建模和数据处理等领域的指数级改进,加上药物化学能力和产量的巨大进步,意味着现在可用于药物发现工作的靶标数量达到了历史最高水平。尽管世界对突破性疗法的希望和期望可能很高,但药物发现科学家面临的挑战从未像现在这样艰难。事实上,很明显,我们对中枢神经系统疾病的发现和了解越多,我们发现的惊喜就越多,我们也就越意识到,我们不了解的东西还有很多。尽管临床诊断集中在常见的表型上,但更深入的研究表明,常见表型的潜在原因可能是多种多样的,而且不容易受到单一治疗干预的影响。即使是看似最简单的遗传疾病,例如囊性纤维化,也可能由多达1000种不同的基因突变引起,每一种突变都会导致细微不同的生化变化。一种突变可能改变蛋白质的最大速度,另一种可能改变米切里斯常数,第三种可能产生功能正常的蛋白质,但稳定性或聚集倾向不同。单次干预就能逆转这三种不同的缺陷导致共同表型的可能性很小。认识到疾病在患者群体中是不同质的,这也许是现代医学和药物发现中最重要的认识之一,但这一认识现在为神经治疗领域带来了下一个巨大的挑战。利用转化医学的集体工具,如基因表达谱、生物标志物鉴定、药物基因组学和神经影像学,我们将能够更好地诊断和描述患者疾病的病理生理状态,从而更好地针对个体的独特需求进行治疗。在这一期中,理解疾病本质和药物作用过程的新方法(Hilbush等人,Gomez-Mancilla及其同事,Hurko和Ryan)承诺改善治疗靶点的选择和治疗药物作用的临床前验证,以及改善患者的选择,从而提高材料最终成功进入临床试验的可能性。即使这样的治疗方法还需要几年的时间,但很明显,我们实现这些愿望的最佳机会是通过全球学术界、政府、监管机构和工业伙伴的共同努力。 在接下来的几页中,我们整理了一个问题,展示了正在实施的策略的例子,从目标识别的最早期阶段到临床疗效生物标志物的发现和验证。中枢神经系统功能和病理生理学背后的系统的丰富性和复杂的相互作用为我们的神经治疗开发者社区带来了巨大的智力挑战。在这一期中,介绍了一些对中枢神经系统疾病靶点的认识增加,为变革性治疗开辟了机会(Ossipov和Porecca, Snutch, Virley, Pangalos和同事,Schechter等人,以及Marek和Merchant)。药物发现科学家面临的障碍仍然巨大,但随着我们对大脑功能和病理生理学的了解的增加,我们肯定会更好地应对成功开发药物的挑战,这些药物可以改变患者的治疗模式。最终,我们在未来十年的成功将取决于未来的治疗方法进入市场,以及我们是否能够从姑息性症状治疗转向“圣杯”——改善疾病的治疗。 在接下来的几页中,我们整理了一个问题,展示了正在实施的策略的例子,从目标识别的最早期阶段到临床疗效生物标志物的发现和验证。中枢神经系统功能和病理生理学背后的系统的丰富性和复杂的相互作用为我们的神经治疗开发者社区带来了巨大的智力挑战。在这一期中,介绍了一些对中枢神经系统疾病靶点的认识增加,为变革性治疗开辟了机会(Ossipov和Porecca, Snutch, Virley, Pangalos和同事,Schechter等人,以及Marek和Merchant)。药物发现科学家面临的障碍仍然巨大,但随着我们对大脑功能和病理生理学的了解的增加,我们肯定会更好地应对成功开发药物的挑战,这些药物可以改变患者的治疗模式。最终,我们在未来十年的成功将取决于未来的治疗方法进入市场,以及我们是否能够从姑息性症状治疗转向“圣杯”——改善疾病的治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drug Discovery for Disorders of the Central Nervous System
Never in the history of science and medicine have we had a better understanding of brain function and the diseases that lead to its ultimate destruction and dysfunction. We have teased apart much detail concerning pathological cascades, genetic mutations, and environmental influences leading to some of the most devastating illnesses afflicting mankind in the post-vaccination world. Nevertheless, the majority of neurotherapeutics developed over the past three decades have been derived from serendipitous observations or oversimplified neurochemical hypotheses; the dopaminergic dysfunction of Parkinson’s disease, the acetylcholine deficit observed in the basal forebrain of Alzheimer’s disease patients, and the dopaminergic hyperfunction of schizophrenia are three such examples. Such hypotheses have led to the development and commercialization of medicines that, although providing clear benefit to patients, have still left much room for improvement in terms of both efficacy and tolerability. These therapies also help to highlight many of the limitations of our disease understanding because they are fairly uniformly unable to address the underlying etiology of any of the devastating diseases they are aimed to treat. Moreover, despite the increasing knowledge of the underlying substrates of neurological and psychiatric disease, despite dramatic increases in our ability to use biomarkers and imaging to mechanistically assess the potential actions of new therapeutics, and despite massive industrial investments in the development of new therapies for CNS diseases, success rates for pharmaceutical development have reached historical lows over the past several years. In this issue of NeuroRx®, better understanding of the characteristics of successful therapeutics (Pajouhesh and Lenz) and better strategies to adapt to emerging legal processes and standards needed to protect intellectual property (Gersten) are both seen as needed to improve the possibility for successful commercial development of new therapies. The era of the human genome has now revealed a bountiful supply of innovative and exciting drug discovery targets filled with potential for treating not only the symptoms but perhaps even the underlying causes of seemingly incurable neurological and neuropsychiatric diseases. Furthermore, the advent of exponential improvements in areas such as high-throughput screening, robotics, molecular modeling, and data handling, coupled with the large advances in medicinal chemistry capacity and output, have meant that the number of targets now available for drug discovery efforts is at an all-time peak. Although the hopes and expectations of the world for breakthrough therapies may be high, never before have the challenges facing drug discovery scientists been harder. In fact, it is clear that the more we discover and understand about diseases of the CNS, the more surprises we find and the more we realize that there is much we do not understand. Whereas clinical diagnostics have focused on common phenotypes, deeper investigation reveals that the underlying causes of common phenotypes can be diverse and not susceptible to a single treatment intervention. Even the most seemingly simple genetic disorder, cystic fibrosis for example, can be caused by as many as 1000 different gene mutations, each one resulting in a subtly different biochemical change. One mutation may alter the maximum velocity of a protein, another the Michaelis constant, and a third may produce a functionally normal protein with a different stability or a tendency to aggregate. The chance a single intervention would reverse these three different defects causing a common phenotype is small. Understanding that diseases are not homogeneous in a patient population is perhaps one of the most significant realizations of modern medicine and drug discovery, and yet this knowledge now opens the next immense set of challenges for the field of neurotherapeutics. Using the collective tools of translational medicine such as gene expression profiling, biomarker identification, pharmacogenomics, and neuroimaging, we will be in a better position to diagnose and characterize the pathophysiological state of patient’s disease, resulting in therapies better tailored to the individuals unique needs. In this issue, new approaches in understanding the nature of disease and the process of drug action (Hilbush et al., Gomez-Mancilla and colleagues, and Hurko and Ryan) promise to improve the choice of therapeutic targets and the preclinical validation of therapeutic agent action as well as improve patient selection and so enhance the eventual probability of success of materials placed into clinical trials. Even if such therapies are still years away, it is clear that our best chance of delivering on these aspirations is through the combined collaborative efforts of academic, government, regulatory, and industrial partnerships around the globe. In the pages to follow, we have put together an issue demonstrating examples of the strategies being pursued, ranging from the very earliest stages of target identification through to the discovery and validation of efficacy biomarkers in the clinic. The richness and complex interaction of systems underlying CNS function and pathophysiology generate enormous intellectual challenges for our community of neurotherapeutic developers. In this issue, some of the CNS disease targets where increased understanding has opened up opportunities for transformative therapies (Ossipov and Porecca, Snutch, Virley, Pangalos and colleagues, Schechter et al., and Marek and Merchant) are described. The hurdles for drug discovery scientists remain enormous, but as we increase our understanding of brain function and pathophysiology we will surely better address the challenge of successfully developing drugs that can change the treatment paradigm for patients. Ultimately, our success over the coming decade will be determined by future therapies reaching the marketplace and whether we are able to move away from palliative symptomatic therapies and on to the “holy grail” of disease-modifying treatments.
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