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Multi-omic molecular profiling and network biology for precision anaesthesiology: a narrative review.
Scarpa, Joseph R; Elemento, Olivier.
Afiliación
  • Scarpa JR; Department of Anesthesiology, Weill Cornell Medicine, New York, NY, USA. Electronic address: jos9335@nyp.org.
  • Elemento O; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA.
Br J Anaesth ; 131(1): 26-36, 2023 07.
Article en En | MEDLINE | ID: mdl-37055274
ABSTRACT
Technological advancement, data democratisation, and decreasing costs have led to a revolution in molecular biology in which the entire set of DNA, RNA, proteins, and various other molecules - the 'multi-omic' profile - can be measured in humans. Sequencing 1 million bases of human DNA now costs US$0.01, and emerging technologies soon promise to reduce the cost of sequencing the whole genome to US$100. These trends have made it feasible to sample the multi-omic profile of millions of people, much of which is publicly available for medical research. Can anaesthesiologists use these data to improve patient care? This narrative review brings together a rapidly growing literature in multi-omic profiling across numerous fields that points to the future of precision anaesthesiology. Here, we discuss how DNA, RNA, proteins, and other molecules interact in molecular networks that can be used for preoperative risk stratification, intraoperative optimisation, and postoperative monitoring. This literature provides evidence for four fundamental insights (1) Clinically similar patients have different molecular profiles and, as a consequence, different outcomes. (2) Vast, publicly available, and rapidly growing molecular datasets have been generated in chronic disease patients and can be repurposed to estimate perioperative risk. (3) Multi-omic networks are altered in the perioperative period and influence postoperative outcomes. (4) Multi-omic networks can serve as empirical, molecular measurements of a successful postoperative course. With this burgeoning universe of molecular data, the anaesthesiologist-of-the-future will tailor their clinical management to an individual's multi-omic profile to optimise postoperative outcomes and long-term health.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Anestesiología Límite: Humans Idioma: En Revista: Br J Anaesth Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Anestesiología Límite: Humans Idioma: En Revista: Br J Anaesth Año: 2023 Tipo del documento: Article