Anesthetic Sensitivity
Transcriptomic Biomarkers Analysis
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!