Absolute Quantification of Intravesicular Adenosine Triphosphate in Single Extracellular Vesicles Reveals Mitochondrial Bioenergetic Rewiring in Chemoresistance
Xu Xiao, Yuqing Luo, Chenxi Liu, Haonan Di, Yunyun Hu, Cheng Lu, Hao Chen, Xiaozhen Zhan, Guoqiang Su, Xiaomei YanAbstract
The inability to quantify specific metabolites within individual extracellular vesicles (EVs) represents a fundamental analytical gap, precluding a mechanistic understanding of how cellular metabolic states are encoded into vesicular cargo. Here, we introduce single-particle adenosine triphosphate (ATP) quantification by nano-flow cytometry (SPAQ-nFCM), a laboratory-constructed dual-laser platform that overcomes particle size heterogeneity by integrating ATP-loaded liposome standards with a size-corrected “ATP fluorescence density” metric, thereby enabling liposome-calibrated absolute measurement of intravesicular ATP. Applying SPAQ-nFCM, we find that compared to chemosensitive cancer cells, chemoresistant cancer cells secrete EVs highly enriched in ATP, as evidenced by both a higher proportion of ATP-positive EVs (ATP+ EVs) and an elevated intravesicular ATP content per EV. Targeted metabolomics and bioenergetic analyses trace this to a profound metabolic reprogramming toward enhanced mitochondrial oxidative phosphorylation, thereby expanding the cellular ATP pool in chemoresistant cells. Strikingly, single-particle multiparametric analysis reveals a distinct, ATP-enriched P-glycoprotein (P-gp)-positive EV subpopulation, providing direct evidence for the spatial coupling of mitochondrial energetics to drug efflux. Moreover, we demonstrate that ATP+ EVs predominantly exhibit high expression of the classical tetraspanin marker CD63. A targeted screen further identifies conserved molecular regulators (Rab27a/b, VPS35, DRP1) governing ATP+ EV biogenesis. Thus, SPAQ-nFCM provides a generalizable analytical framework for quantitative metabolite analysis at the single-vesicle level. The link between ATP-enriched EVs and chemoresistance further underscores the broader utility of SPAQ-nFCM for investigating EV-mediated metabolic communication.