Drug Metabolism Analysis – Transcriptomic Biomarkers

Drug metabolism refers to how the body absorbs, distributes, transforms, and eliminates pharmaceutical substances. Gene expression analysis helps identify biomarkers related to metabolic enzymes, drug transport, and drug interactions, optimizing treatments and preventing adverse effects.

Genes Analyzed in Drug Metabolism

Our panel targets key biomarkers associated with metabolism, toxicity, and drug interactions, including:

• CYP450 (Cytochrome P450) – A crucial family of enzymes involved in drug metabolism. Genes such as CYP3A4, CYP2D6, CYP2C9, and CYP1A2 play major roles in drug biotransformation

• UGT1A1 (UDP-glucuronosyltransferase) – An enzyme involved in glucuronidation, a key Phase II drug metabolism process

• SULT (Sulfotransferase) – Enzymes responsible for drug sulfonation, affecting solubility and excretion

• ABCB1 (P-glycoprotein) – A transporter involved in drug efflux and treatment resistance, particularly in tumor cells

• SLCO1B1 (Organic Anion Transporting Polypeptide) – A transporter involved in drug absorption and metabolism of medications such as statins

• NAT2 (N-acetyltransferase 2) – An enzyme responsible for drug acetylation, influencing individual responses to treatment

• ALDH2 (Aldehyde Dehydrogenase 2) – An enzyme involved in alcohol and drug metabolism, linked to toxicity risks

• FMO (Flavin Monooxygenase) – An enzyme that oxidizes multiple drugs and exogenous substances

• CYP2C19 – A key enzyme in the metabolism of proton pump inhibitors, antidepressants, and antiepileptic drugs

• GST (Glutathione S-Transferases) – A family of enzymes involved in detoxifying drugs and toxins

Applications & Benefits

• Personalized treatments – Gene expression profiling of metabolic enzymes helps adjust drug doses and types based on a patient’s genetic characteristics

• Drug toxicity risk assessment – Identification of genetic variations linked to severe side effects

• Prediction of drug interactions – Studying transporters and metabolic enzymes helps anticipate potential drug-drug interactions

• Optimization of cancer therapies – Drug metabolism analysis predicts patient responses to chemotherapy and other cancer treatments

• Understanding interindividual differences – Helps manage chronic treatments for conditions like diabetes and hypertension more precisely

Technologies Used

We employ cutting-edge technologies to analyze drug metabolism biomarkers in detail:

• RT-qPCR and RNA-seq (NGS) – Quantification of metabolic enzyme and drug transporter gene expression

• Nanostring and transcriptomic arrays – Multiplexed analysis to detect multiple drug metabolism and interaction biomarkers

• Pharmacogenomics – Identification of genetic variations influencing drug response and adverse effect risks

Contact us at contact@genxmap.com for a personalized and in-depth analysis of drug metabolism and treatment optimization!