Quantification of vanillylmandelic acid, homovanillic acid and 5-hydroxyindoleacetic acid in urine using a dilute-and-shoot and ultra-high pressure liquid chromatography tandem mass spectrometry method.

BACKGROUND: Urinary vanillylmandelic acid (VMA) and homovanillic acid (HVA) are biomarkers for the diagnosis and follow-up of neuroblastoma, whereas urinary 5-hydroxyindoleacetic acid (5-HIAA) is used to assess a carcinoid tumor. These analytes are conventionally analyzed in a single run by chromatography (LC) coupled with electrochemical detection (LC-ECD) using commercial kits. A rapid dilute-and-shoot LC tandem mass spectrometry (LC-MS/MS) assay was validated in order to replace the LC-ECD method and therefore improve analytical specificity and throughput. METHODS: Sample preparation was carried out by dilution of the urine sample with a solution containing the deuterated internal standards. The separation was achieved on an ultra-high pressure LC system with MS detection using a triple quadrupole mass spectrometer. The method was validated according to the current EMA and FDA guidelines. RESULTS: The full chromatographic run was achieved in 8 min. The method validation showed excellent linearity (r2>0.999 for all three analytes), precision (CV <15%), negligible matrix effect (recoveries >90%), low carryover (<1%) and LLOQ of 0.25, 0.4 and 0.4 µM for VMA, HVA and 5-HIAA, respectively. Deming fits and Bland-Altman analyses showed no significant differences between the values obtained between the two assays. CONCLUSIONS: The LC-MS/MS method proposed in this study is fast and robust, and the simple sample preparation saves time and avoids the additional costs of dedicated kits used for the LC-ECD assays by switching to LC-MS/MS. Additionally, the near-perfect correlation observed herein between both assays allows the previously established reference ranges to be maintained.

A validated LC-MS/MS method for neurotransmitter metabolite analysis in human cerebrospinal fluid using benzoyl chloride derivatization.

BACKGROUND: Human cerebrospinal fluid (CSF) is often acquired in Phase I clinical trials to assess the CNS penetration of new pharmacological agents and to search for biomarkers associated with PD effects. Robust methods for neurotransmitter metabolites in CSF have proven elusive, in part due to inadequate reversed phase LC retention. RESULTS: Benzoyl chloride derivatization was used to promote retention for LC-MS/MS for a panel of neurotransmitter metabolites while delivering a concise method for sample preparation. CONCLUSION: A validated assay in human CSF was obtained for 3,4-dihydroxyphenylacetic acid, homovanillic acid, 3,4-dihydroxyphenylglycol and 5-hydroxyindoleacetic acid. This method is differentiated from other LC-MS/MS methods by delivering results in line with full regulatory expectations.

Difficulties in establishing reference intervals for special fluids: the example of 5-hydroxyindoleacetic acid and homovanillic acid in cerebrospinal fluid.

Biochemical measurements in "special fluids" are complicated with the problem of reference intervals. Reference intervals are difficult to establish for these types of samples since they are usually only collected in patients with clinical suspicion of disease. Determination of neurotransmitter metabolites in cerebrospinal fluid illustrates this difficulty. This paper will review the factors and circumstances that have been identified or are suspected to modify the concentration of 5-hydroxyindoleacetic acid (5-HIAA) and homovanillic acid (HVA) in cerebrospinal fluid. In addition to obvious parameters such as age-related variation that can affect the concentration of 5-HIAA and HVA in cerebrospinal fluid, a variety of other factors can explain the wide range of "control" group sizes reported in the literature. Reference intervals must take into account the purpose of cerebrospinal fluid examinations, whether they be prospective studies to explore physio-pathologic relationships or for diagnostic purposes. In the latter case, certain neurological disorders cannot be excluded if a single measured value is within the reference interval.