2-amino-2-deoxy-D-glucose-[1,6-13C2] hydrochloride

2-amino-2-deoxy-D-glucose-[1,6-13C2] hydrochloride, an isotope-labeled glucose derivative, holds significant importance in scientific research. Here are the key applications:

Metabolic Flux Analysis: Delving into metabolic flux analysis, this labeled compound serves as a pivotal tool in tracing glucose metabolism pathways within cells. By integrating 13C-labeled glucose into cellular networks, researchers can meticulously track the carbon atom flow through glycolysis, the TCA cycle, and other intricate pathways. This in-depth analysis offers detailed insights into the dynamics of cellular metabolism and its intricate regulatory mechanisms.

Cancer Research: In the realm of cancer research, 2-amino-2-deoxy-D-glucose-[1,6-13C2] hydrochloride emerges as a key player, enabling the investigation of the distinct glucose metabolism patterns observed in cancer cells. The Warburg effect, characterized by cancer cells favoring glycolysis over aerobic respiration, can be scrutinized using this tracer, shedding light on potential metabolic vulnerabilities that could be targeted for cancer therapy. This approach aids in uncovering novel avenues for combating cancer through metabolic interventions.

Drug Development: With a pivotal role in drug development, this compound proves invaluable in assessing compounds aimed at modulating glucose metabolism. By examining the changes in metabolic pathways when exposed to drug candidates, researchers can evaluate the efficacy and mechanisms of action of these compounds. This methodological approach facilitates the discovery of novel therapeutic interventions for metabolic disorders, offering new hope in the realm of precision medicine.

Neuroscience: In the field of neuroscience, 2-amino-2-deoxy-D-glucose-[1,6-13C2] hydrochloride is a crucial tool for investigating brain glucose utilization patterns. Administering the labeled glucose to experimental models enables researchers to accurately monitor and quantify brain metabolism under diverse conditions such as stress, disease, or treatment. This data-rich approach provides critical insights into brain function and energy dynamics, furthering our understanding of the intricate workings of the brain.