Analysis of Anesthetic Sensitivity – Transcriptomic Biomarkers

Anesthetic sensitivity varies between individuals due to multiple factors, including genetics, drug metabolism, and overall health status. Gene expression analysis helps identify biomarkers associated with individual responses to anesthetics, enabling personalized anesthetic treatments, improved efficacy, and reduced risk of side effects.

Genes Analyzed in Anesthetic Sensitivity

Our panel targets key biomarkers related to anesthetic metabolism, drug receptors, and individual responses to anesthetic agents, including:

• CYP450 (Cytochrome P450) – Enzymes responsible for metabolizing many anesthetics. Genes such as CYP3A4, CYP2D6, CYP1A2 influence how quickly anesthetics are processed in the body

• MDR1 (Multi-Drug Resistance 1) – Transporter involved in drug elimination, including anesthetics, affecting their efficacy and distribution

• GABRA1 (Gamma-Aminobutyric Acid Receptor Alpha Subunit 1) – A key subunit of the GABA receptor, involved in anesthetic sedation effects. Genetic variations may influence anesthesia depth

• SCN9A (Sodium Channel Neuron Type IX Alpha Subunit) – Sodium channels essential for nerve transmission, particularly relevant for pain sensitivity and local anesthesia response

• PON1 (Paraoxonase 1) – Enzyme involved in breaking down certain anesthetics and protecting against their toxicity

• ACHE (Acetylcholinesterase) – Enzyme responsible for acetylcholine degradation, influencing muscle function and anesthetic response

• KCNJ11 (ATP-Sensitive Potassium Channel) – Potassium channels crucial for nerve conduction regulation and the effects of general anesthetics

• DRD2 (Dopamine Receptor D2) – Dopaminergic receptor involved in anesthesia effects and pain modulation

Applications & Benefits

• Personalized anesthetic treatments – Biomarker analysis helps tailor anesthetic type and dosage to the patient's genetic profile, optimizing safety and effectiveness

• Prediction of wake-up response – Biomarkers can predict how quickly a patient will regain consciousness after general anesthesia, improving anesthesia management and postoperative care

• Assessment of anesthetic tolerance – Certain biomarkers can indicate predisposition to severe side effects, such as allergic reactions or increased postoperative pain sensitivity

• Reduction of side effect risks – Identifying genes linked to adverse anesthetic reactions helps minimize complications

• Optimization of local and regional anesthesia – Analysis of receptors and enzymes related to local anesthetics enhances administration strategies, improving efficacy while reducing toxicity

Technologies Used

We use advanced technologies for precise biomarker analysis related to anesthetic sensitivity and metabolism:

• RT-qPCR and RNA-seq (NGS) for quantifying gene expression related to anesthetic response

• Nanostring and transcriptomic arrays for multiplex biomarker analysis, enabling simultaneous detection of multiple anesthetic sensitivity genes

• Pharmacogenomics to identify genetic variations associated with increased or decreased anesthetic response

• Pharmacokinetic analysis to study anesthetic metabolism and adjust dosages based on individual patient characteristics

Contact us at contact@genxmap.com for an in-depth and personalized analysis of anesthetic sensitivity to ensure optimal anesthesia management!