The Role of OMICS (Genomics, Epigenetics, Transcriptomics, Proteomics and Metabolomics) in Personalized Anesthesia and Perioperative Medicine

Mohammadi‐Yeganeh, Samira; Bilanicz, Slawomir; Dabbagh, Ali

doi:10.1007/978-3-030-53525-4_2

Cited by 1 publication

(3 citation statements)

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“…This group includes flavoprotein (NADPH cytochrome C reductase), hemoglobin (P450), and phospholipids (phosphatidylcholine). These enzymes are found mainly in the liver ( 4 ), but also in the lungs, kidneys, brain, and, to a lesser extent, in the gastrointestinal tract, skin, and placental tissue. CYP proteins, particularly those of the CYP1, CYP2, and CYP3 families, are major contributors to drug metabolism in humans ( 12 ).…”

Section: Genetic Factorsmentioning

confidence: 99%

“…Traditional anesthetic protocols, while effective for the majority, often overlook the vast inter-individual variability in drug responses and procedural risks. These differences can lead to unpredictable responses or toxic effects in some individuals or subgroups, ultimately impacting patient outcomes ( 4 ).…”

Section: Introductionmentioning

confidence: 99%

“…10.3389/fmed.2024.1365524 lead to unpredictable responses or toxic effects in some individuals or subgroups, ultimately impacting patient outcomes (4).…”

mentioning

confidence: 99%

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Personalized anesthesia and precision medicine: a comprehensive review of genetic factors, artificial intelligence, and patient-specific factors

Zeng,

Qing,

et al. 2024

Front. Med.

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Precision medicine, characterized by the personalized integration of a patient’s genetic blueprint and clinical history, represents a dynamic paradigm in healthcare evolution. The emerging field of personalized anesthesia is at the intersection of genetics and anesthesiology, where anesthetic care will be tailored to an individual’s genetic make-up, comorbidities and patient-specific factors. Genomics and biomarkers can provide more accurate anesthetic protocols, while artificial intelligence can simplify anesthetic procedures and reduce anesthetic risks, and real-time monitoring tools can improve perioperative safety and efficacy. The aim of this paper is to present and summarize the applications of these related fields in anesthesiology by reviewing them, exploring the potential of advanced technologies in the implementation and development of personalized anesthesia, realizing the future integration of new technologies into clinical practice, and promoting multidisciplinary collaboration between anesthesiology and disciplines such as genomics and artificial intelligence.

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Section: Genetic Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%