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Adding value through accelerator mass spectrometry‐enabled first in human studies
Author(s) -
Seymour Mark A.
Publication year - 2016
Publication title -
journal of labelled compounds and radiopharmaceuticals
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.432
H-Index - 47
eISSN - 1099-1344
pISSN - 0362-4803
DOI - 10.1002/jlcr.3420
Subject(s) - bioanalysis , accelerator mass spectrometry , chemistry , metabolite , pharmacokinetics , analyte , mass spectrometry , drug , pharmacology , bioavailability , in vivo , chromatography , biochemistry , medicine , microbiology and biotechnology , biology
Accelerator mass spectrometry (AMS) is an ultra‐sensitive technique for the analysis of radiocarbon. It is applicable to bioanalysis of any 14 C‐labelled analyte and any sample type. The increasing body of data generated using LC+AMS indicates that the methodology is robust and reliable, and capable of meeting the same validation criteria as conventional bioanalytical techniques. Because it is a tracer technique, AMS is capable of discriminating between an administered radiolabelled dose and endogenous compound or non‐radiolabelled compound administered separately. This paper discusses how it can be used to enhance the design of first in human (FIH) clinical studies and generate significant additional data, including: fundamental pharmacokinetics (CL and V), absolute bioavailability, mass balance, routes and rates of excretion, metabolic fate (including first‐pass metabolism, identification of biliary metabolites and quantitative data to address metabolite safety testing issues), and tissue disposition of parent compound and metabolites. Because the 14 C‐labelled microtracer dose is administered at the same time as a pharmacologically relevant non‐radiolabelled dose, there is no concern about dose‐linearity. However the mass of the microtracer dose itself is negligible and therefore does not affect the outcome of the FIH study. The addition of microtracer doses to a FIH study typically requires little additional expense, apart from the AMS analytics, making the approach cost‐effective. It can also save significant time, compared to conventional approaches, and, by providing reliable human in vivo data as early as possible, prevent unnecessary expenditure later in drug development.