In recent years, the expression and progression of programmed
cell
death ligand 1 (PD-L1) as an immunomarker in the context of a cell
metabolic environment has gained significant attention in cancer research.
However, intercellular bioprocesses that control the dynamics of PD-L1
have been largely unexplored. This study aimed to explore the cell
metabolic states and conditions that govern dynamic variations of
PD-L1 within the cell metabolic environment using an aptamer-based
surface-enhanced Raman scattering (SERS) approach. The aptamer-SERS
technique offers a sensitive, rapid, and powerful analytical tool
for targeted and nondestructive detection of an immunomarker with
high sensitivity and specificity. By combining aptamer-SERS with cell
state profiling, we investigated the modulation in PD-L1 expression
under different metabolic states, including glucose deprivation, metabolic
coenzyme activity, and altered time/concentration-based cytokine availability.
The most intriguing features in our findings include the cell-specific
responses, cell differentiation by revealing distinct patterns, and
dynamics of PD-L1 in different cell lines. Additionally, the time-dependent
variations in PD-L1 expression, coupled with the dose-dependent relationship
between glucose concentration and PD-L1 levels, underscore the complex
interplay between immune checkpoint regulation and cellular metabolism.
Therefore, this work demonstrates the advantages of using highly-sensitive
and specific aptamer-SERS nanotags for investigating the immune checkpoint
dynamics and related metabolic bioprocess.