Western populations use prescription and nonprescription drugs extensively, but large-scale population usage
is rarely assessed objectively in epidemiological studies.
Here we apply statistical methods to characterize structural pathway connectivities of metabolites of commonly
used drugs detected routinely in 1H NMR spectra of urine
in a human population study. 1H NMR spectra were
measured for two groups of urine samples obtained from
U.S. participants in a known population study. The novel
application of a statistical total correlation spectroscopy
(STOCSY) approach enabled rapid identification of the
major and certain minor drug metabolites in common use
in the population, in particular, from acetaminophen and
ibuprofen metabolites. This work shows that statistical
connectivities between drug metabolites can be established in routine “high-throughput” NMR screening of
human samples from participants who have randomly self-administered drugs. This approach should be of value in
considering interpopulation patterns of drug metabolism
in epidemiological and pharmacogenetic studies.