Coenzyme A, acetyl coenzyme A, coenzymes of cellular
energy, coenzymes
of redox reactions, and antioxidants mediate biochemical reactions
fundamental to the functioning of all living cells. There is an immense
interest in measuring them routinely in biological specimens to gain
insights into their roles in cellular functions and to help characterize
the biological status. However, it is challenging to measure them
ex vivo as they are sensitive to specimen harvesting, extraction,
and measurement conditions. This challenge is largely underappreciated
and carries the risk of grossly inaccurate measurements that lead
to incorrect inferences. To date, several efforts have been focused
on alleviating this challenge using NMR spectroscopy. However, a comprehensive
solution for the measurement of the compounds in a wide variety of
biological specimens is still lacking. As a part of addressing this
challenge, we demonstrate here that the total pool of each group of
unstable metabolites offers a starting place for the representation
of labile metabolites in biological specimens. Based on this approach,
in this proof-of-concept study, we determine the distribution of the
labile compounds in different organs including heart, kidney, liver,
brain, and skeletal muscle of a mouse model. The results were independently
validated using different specimens and a different metabolite extraction
protocol. Further, we show that both stable and unstable metabolites
were distributed differentially in different organs, which signifies
their differential functional roles, the knowledge of which is currently
lacking for many metabolites. Intriguingly, the concentration of taurine,
an amino sulfonic acid, in skeletal muscle is >30 mM, which is
the
highest for any metabolite in a mammalian tissue known to date. To
the best of our knowledge, this is the first study to profile the
whole body distribution of the labile and other high-concentration
metabolites using NMR spectroscopy. The results may pave ways for
gaining new insights into cellular functions in health and diseases.