Caterina Carraro, Jessica V Montgomery, Julien Klimmt, Dominik Paquet, Joachim L Schultze, Marc D Beyer
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In such a scenario, multi-omic approaches have the potential to accelerate the identification of new or repurposed drugs against a multitude of the underlying mechanisms driving NDDs. One major advantage for the implementation of multi-omic approaches in the drug discovery process is that these overarching tools are able to disentangle disease states and model perturbations through the comprehensive characterization of distinct molecular layers (i.e., genome, transcriptome, proteome) up to a single-cell resolution. Because of recent advances increasing their affordability and scalability, the use of omics technologies to drive drug discovery is nascent, but rapidly expanding in the neuroscience field. Combined with increasingly advanced <i>in vitro</i> models, which particularly benefited from the introduction of human iPSCs, multi-omics are shaping a new paradigm in drug discovery for NDDs, from disease characterization to therapeutics prediction and experimental screening. In this review, we discuss examples, main advantages and open challenges in the use of multi-omic approaches for the <i>in vitro</i> discovery of targets and therapies against NDDs.</p>","PeriodicalId":12630,"journal":{"name":"Frontiers in Molecular Neuroscience","volume":"17 ","pages":"1414886"},"PeriodicalIF":3.5000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11215216/pdf/","citationCount":"0","resultStr":"{\"title\":\"Tackling neurodegeneration <i>in vitro</i> with omics: a path towards new targets and drugs.\",\"authors\":\"Caterina Carraro, Jessica V Montgomery, Julien Klimmt, Dominik Paquet, Joachim L Schultze, Marc D Beyer\",\"doi\":\"10.3389/fnmol.2024.1414886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Drug discovery is a generally inefficient and capital-intensive process. For neurodegenerative diseases (NDDs), the development of novel therapeutics is particularly urgent considering the long list of late-stage drug candidate failures. Although our knowledge on the pathogenic mechanisms driving neurodegeneration is growing, additional efforts are required to achieve a better and ultimately complete understanding of the pathophysiological underpinnings of NDDs. Beyond the etiology of NDDs being heterogeneous and multifactorial, this process is further complicated by the fact that current experimental models only partially recapitulate the major phenotypes observed in humans. In such a scenario, multi-omic approaches have the potential to accelerate the identification of new or repurposed drugs against a multitude of the underlying mechanisms driving NDDs. One major advantage for the implementation of multi-omic approaches in the drug discovery process is that these overarching tools are able to disentangle disease states and model perturbations through the comprehensive characterization of distinct molecular layers (i.e., genome, transcriptome, proteome) up to a single-cell resolution. Because of recent advances increasing their affordability and scalability, the use of omics technologies to drive drug discovery is nascent, but rapidly expanding in the neuroscience field. Combined with increasingly advanced <i>in vitro</i> models, which particularly benefited from the introduction of human iPSCs, multi-omics are shaping a new paradigm in drug discovery for NDDs, from disease characterization to therapeutics prediction and experimental screening. 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Tackling neurodegeneration in vitro with omics: a path towards new targets and drugs.
Drug discovery is a generally inefficient and capital-intensive process. For neurodegenerative diseases (NDDs), the development of novel therapeutics is particularly urgent considering the long list of late-stage drug candidate failures. Although our knowledge on the pathogenic mechanisms driving neurodegeneration is growing, additional efforts are required to achieve a better and ultimately complete understanding of the pathophysiological underpinnings of NDDs. Beyond the etiology of NDDs being heterogeneous and multifactorial, this process is further complicated by the fact that current experimental models only partially recapitulate the major phenotypes observed in humans. In such a scenario, multi-omic approaches have the potential to accelerate the identification of new or repurposed drugs against a multitude of the underlying mechanisms driving NDDs. One major advantage for the implementation of multi-omic approaches in the drug discovery process is that these overarching tools are able to disentangle disease states and model perturbations through the comprehensive characterization of distinct molecular layers (i.e., genome, transcriptome, proteome) up to a single-cell resolution. Because of recent advances increasing their affordability and scalability, the use of omics technologies to drive drug discovery is nascent, but rapidly expanding in the neuroscience field. Combined with increasingly advanced in vitro models, which particularly benefited from the introduction of human iPSCs, multi-omics are shaping a new paradigm in drug discovery for NDDs, from disease characterization to therapeutics prediction and experimental screening. In this review, we discuss examples, main advantages and open challenges in the use of multi-omic approaches for the in vitro discovery of targets and therapies against NDDs.
期刊介绍:
Frontiers in Molecular Neuroscience is a first-tier electronic journal devoted to identifying key molecules, as well as their functions and interactions, that underlie the structure, design and function of the brain across all levels. The scope of our journal encompasses synaptic and cellular proteins, coding and non-coding RNA, and molecular mechanisms regulating cellular and dendritic RNA translation. In recent years, a plethora of new cellular and synaptic players have been identified from reduced systems, such as neuronal cultures, but the relevance of these molecules in terms of cellular and synaptic function and plasticity in the living brain and its circuits has not been validated. The effects of spine growth and density observed using gene products identified from in vitro work are frequently not reproduced in vivo. Our journal is particularly interested in studies on genetically engineered model organisms (C. elegans, Drosophila, mouse), in which alterations in key molecules underlying cellular and synaptic function and plasticity produce defined anatomical, physiological and behavioral changes. In the mouse, genetic alterations limited to particular neural circuits (olfactory bulb, motor cortex, cortical layers, hippocampal subfields, cerebellum), preferably regulated in time and on demand, are of special interest, as they sidestep potential compensatory developmental effects.