Studying
metabolism may assist in understanding the relationship
between normal and dysfunctional mitochondrial activity and various
diseases, such as neurodegenerative, cardiovascular, autoimmune, psychiatric,
and cancer. Nuclear magnetic resonance-based metabolomics represents
a powerful method to characterize the chemical content of complex
samples and has been successfully applied to studying a range of conditions.
However, an optimized methodology is lacking for analyzing isolated
organelles, such as mitochondria. In this study, we report the development
of a protocol to metabolically profile mitochondria from healthy,
tumoral, and metastatic tissues. Encouragingly, this approach provided
quantitative information about up to 45 metabolites in one comprehensive
and robust analysis. Our results revealed significant differences
between whole-cell and mitochondrial metabolites, which supports a
more refined approach to metabolic analysis. We applied our optimized
methodology to investigate aggressive and metastatic breast cancer
in mouse tissues, discovering that lung mitochondria exhibit an altered
metabolic fingerprint. Specific amino acids, organic acids, and lipids
showed significant increases in levels when compared with mitochondria
from healthy tissues. Our optimized methodology could promote a better
understanding of the molecular mechanisms underlying breast cancer
aggressiveness and mitochondrial-related diseases and support the
optimization of new advanced therapies.