There
is a current need to develop methods for the sensitive
detection
of peptide biomarkers in complex mixtures of molecules, such as biofluids,
to enable early disease detection. Moreover, to our knowledge, there
is currently no detection method capable of identifying the different
conformations of a peptide biomarker differing by a single amino acid.
Single-molecule nanopore sensing promises to provide this level of
resolution. In order to be able to identify these differences in a
biofluid such as serum, it is necessary to carefully characterize
electrical parameters to obtain specific signatures of each biomarker
population observed. We are interested here in a family of peptide
biomarkers, kinins such as bradykinin and des-Arg9 bradykinin,
that are involved in many disabling pathologies (allergy, asthma,
angioedema, sepsis, or cancer). We show the proof of concept for direct
identification of these biomarkers in serum at the single-molecule
level using a protein nanopore. Each peptide exhibits two unique electrical
signatures attributed to specific conformations in bulk. The same
signatures are found in serum, allowing their discrimination and identification
in a complex mixture such as biofluid. To extend the utility of our
experimental results, we developed a principal component analysis
approach to define the most relevant electrical parameters for their
identification. Finally, we used semisupervised classification to
assign each event type to a specific biomarker at physiological serum
concentration. In the future, single-molecule scale analysis of peptide
biomarkers using a powerful nanopore coupled with machine learning
will facilitate the identification and quantification of other clinically
relevant biomarkers from biofluids.