Biomarkers are indicators for any bioprocess taking place in the human body and may be a sign of an underlying condition or disease. Genetic biomarkers can be presented as DNA (genes), mRNA (gene transcripts), which can be used to diagnosis the conditions of human health.
Biomarkers are a key facet of the growing field of personalized and precision medicine, and can be broadly split into multiple types, such as:
These biomarkers can be used to identify or confirm the presence of disease or condition. For example, a specific protein or gene mutation may be indicative of a certain type of cancer.
These biomarkers are used to track the progress of disease or condition, or to monitor the effects of a treatment. For example, levels of a certain protein in the blood may be monitored to assess the effectiveness off a chemotherapy treatment.
These biomarkers are used to assess an individual's likelihood of developing a disease or condition. For example, a genetic mutation may increase an individual's risk of developing breast cancer.
These biomarkers are used to predict the likely outcome of a disease or condition. For example, certain gene mutations may be indicative of amore aggressive form of cancer with a poorer prognosis.
These biomarkers are used to predict how an individual will respond to a particular treatment. For example, certain gene mutations may indicate that an individual is more likely to respond to a certain chemotherapy drug.
Pharmacodynamic biomarkers are readily tracked by RT qPCR/ddPCR and RNAseq by NGS. Drug treatment often causes changes in gene transcription, and RT qPCR/ddPCR and NGS can be used to evaluate this change by tracking biomarkers of interest.
The use of RT qPCR/ddPCR and NGS in the fields of cell and gene therapy have rapidly increased in recent years due to their ability to provide highly sensitive and accurate analysis of pharmacodynamic biomarkers.
By focusing on pharmacodynamic biomarkers at the genetic level, we can gain valuable insights into the efficacy and safety of drug treatments, as well as identify potential new targets for drug development.
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