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Multi-Omics Approaches to Discovering Acute Stroke Injury and Recovery Mechanisms

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Stroke Genetics

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Abstract

Millions of people suffer an acute stroke each year, resulting in an enormous global burden of residual disability and mortality. Despite decades of work to discover effective therapeutics to prevent the consequences of ischemic injury and promote recovery, there have been hundreds of failed clinical trials. Genetics and other omics offer the opportunity to apply ‘reverse translational’ approaches to discover mechanisms important to mitigating injury and promoting recovery. In this chapter, we present a rationale and outline methodology for this broad investigative approach, including the development of creative endophenotypes and integration of multi-omic bioinformatics, as means of enhancing the discovery pathway. We also discuss the urgent need to expand collaborations and harness emerging technologies such as artificial intelligence to phenotype large enough cohorts to have adequate power to find genes and pathways relevant to stroke outcomes. Finally, we discuss challenges and future directions in this rapidly expanding area of stroke research.

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Authors and Affiliations

  1. Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA

    James A. Giles, Jin-Moo Lee & Rajat Dhar

  2. Department of Neurology, Yale University School of Medicine, New Haven, CT, USA

    James A. Giles

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  1. James A. Giles
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  2. Jin-Moo Lee
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Correspondence to Jin-Moo Lee .

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  1. Royal Holloway University of London, Egham, Greater London, UK

    Pankaj Sharma

  2. Dept of Neurology, Mayo Clinic, Jacksonville, FL, USA

    James F. Meschia

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Dr. Dhar is supported by NINDS grants K23NS099440 and R01NS121218. Dr. Giles is supported by AHA grant 827,728. Dr. Lee is supported by NINDS grants R01NS085419 and U24NS10723.

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Giles, J.A., Lee, JM., Dhar, R. (2024). Multi-Omics Approaches to Discovering Acute Stroke Injury and Recovery Mechanisms. In: Sharma, P., Meschia, J.F. (eds) Stroke Genetics. Springer, Cham. https://doi.org/10.1007/978-3-031-41777-1_19

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