Validation of an HPLC method for the determination of urinary and plasma levels of N1-methylnicotinamide, an endogenous marker of renal cationic transport and plasma flow

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Abstract

N1-Methylnicotinamide (NMN) is an endogenous cationic metabolite of nicotinamide (niacine, vitamine PP) whose renal clearance reflects both the capacity of the renal tubular transport system to secrete organic cations and renal plasma flow. NMN is present in human plasma and urine at the 1–117-ng ml−1 and 0.5–25-μg ml−1 concentration range, respectively, and its level depends notably on pathophysiological (age, renal or hepatic diseases) conditions. We report the optimization and validation of an HPLC method for the measurement of endogenous NMN in biological fluids after derivatization into a fluorescent compound. Plasma is first deproteinized with TCA 20% and the urine diluted 1:10 with HCl 10−4 M prior to the derivatization procedure, which includes a condensation reaction of NMN with acetophenone in NaOH at 0°C, followed by dehydration in formic acid and subsequent formation of the fluorescent 1,6-naphthyridine derivatives after heating samples in a boiling water bath. The synthetic homologous derivative N1-ethylnicotinamide (NEN) reacts similarly and is added as internal standard into the biological fluid. The reaction mixture is subjected to reverse phase high performance liquid chromatography on a Nucleosil 100-C18 column using a mobile phase (acetonitrile 22%, triethylamine 0.5%, 0.01 M sodium heptanesulfonate adjusted to pH 3.2), delivered isocratically at a flow rate of 1 ml min−1. NMN and NEN are detected at 7.8 and 10 min by spectrofluorimetry with excitation and emission wavelengths set at 366 and 418 nm, respectively. The addition–calibration method is used with plasma and urine pools. Calibration curves (using the internal standard method) are linear (r2>0.997) at concentrations up to 109 ng ml−1 and 15.7 μg ml−1 in plasma and urine, respectively. Both intra- and inter-assay precision of plasma control samples at 10, 50 and 90 ng ml−1 were lower than 3.3% and concentrations not deviating more than 2.7% from their nominal values. In urine intra- and inter-assay CVs of control samples at 1, 5 and 9 μg ml−1 are lower than 8.3%, with concentrations not deviating more than −9.0 to +11.8% from their nominal values. This analytical method has therefore the required sensitivity and selectivity to measure NMN in plasma and urine, enabling the non-invasive determination of the tubular secretory capacity of the kidney and the renal plasma flow.

Introduction

N1-Methylnicotinamide (NMN) (Fig. 1) is an endogenous cationic metabolite of nicotinamide (Vitamin PP, niacin). It is filtered at the glomerulus and highly extracted (secreted into the tubules) during its passage through the kidney, without being reabsorbed to a significant extent, and its renal handling reflects therefore both the capacity of the renal tubular transport system to secrete organic cations and the renal plasma flow (RPF). Clearance of endogenous NMN could substitute to p-aminohippuric acid (PAH) clearance for the determination of RPF [1], with the advantages of not being an exogenous product and not having to be infused, eliminating therefore not only technical and financial burden but also adverse effects, though admittedly rare, of PAH administration. Furthermore, though considered the gold standard, PAH has the drawback of being cleared in part (10–15%) by extra-renal mechanisms [2].

To the best of our knowledge, NMN has not been evaluated as a marker of RPF yet in humans. The use of NMN for renal plasma flow determination and clinical tubular function studies has presumably been hampered by the difficulty of routinely analyzing NMN in complex biological fluids. NMN has a very low UV extinction coefficient precluding its direct quantitation at the low nanomolar concentrations found in human plasma samples.

In a different context, the measurement of NMN urinary excretion has been used as a surrogate of niacin nutritional status [3]. Since it is present in urine in the μg ml−1 range, NMN could be directly analyzed in this milieu after ion-exchange chromatography and UV detection [4], [5]. However, UV detection may not provide the necessary selectivity in complex urine matrices found in treated patients. NMN has therefore been commonly analyzed in urine after derivatization procedures without [6], [7] or with [8] subsequent separation of reaction mixtures by high performance liquid chromatography (HPLC). Such an approach has also been applied for measuring subnanomolar levels of endogenous NMN in plasma. The derivatization of NMN requires a preliminary off-line step including a condensation of N1-alkylnicotinamides with acetophenone in NaOH at 0°C. This is followed by dehydration of the condensed products in formic acid, and a final heating in boiling water, yielding the fluorescent 1,6-naphthyridine derivatives (Fig. 1) [9] subsequently quantitated by reverse phase HPLC with spectrofluorimetric detection.

This approach has been notably evaluated by Somogyi et al. [10] who proposed an optimization of the derivatization method for its application to endogenous NMN in plasma, where sensitivity is a major issue. This important contribution did not made clear whether the very early NMN peak elution could always be resolved from the relatively high baseline noise at the beginning of the relatively short HPLC run. Moreover, the reported direct derivatization of whole plasma samples [10] resulted in our hands in erratic reaction mixtures, producing unstable analytical samples (with clouding and even precipitation in vials over time) not suitable for subsequent HPLC analysis.

We report an adaptation and optimization of the method of Somogyi et al. [10] leading to improved chromatographic profiles, notably for plasma samples, with satisfactory sensitivity and enhanced selectivity, enabling the baseline separation and quantitation of NMN from its synthetic homologous N1-ethylnicotinamide (NEN)-added as internal standard — and from minor nearby interfering peaks. The detailed analytical method validation has been based on the recommendations published as a conference report of the Washington Conference on Analytical Methods Validation: Bioavailability, Bioequivalence and Pharmacokinetic Studies [11].

The method has been applied to the determination of endogenous NMN in plasma and urine of subjects included in a study assessing the adaptation of renal function during high altitude hypoxia and the development of acute mountain sickness (AMS).

Section snippets

Chemicals and reagents

1-Methylnicotinamide chloride salt (NMN) and trichloroacetic acid (TCA) were purchased from Sigma (Buchs, Switzerland). Formic acid 98–100% and hydrochloric acid 25% were from E. Merck (Darmstadt, Germany). Sodium hydroxide pellets, acetophenone, sodium 1-heptanesulfonate monohydrate, triethylamine and ortho-phosphoric acid 85% were purchased from Fluka (Buchs, Switzerland). HPLC grade acetonitrile was from Romil (Cambridge, UK). All chemicals were of analytical grade and used as received.

Samples preparation

The sample treatment proposed by Somogyi et al. [10] was found satisfactory and could be directly applied to diluted urine samples. Urine samples had to be diluted (1:10) with HCl 10−4 M prior to derivatization because the native NMN concentrations yielded levels of naphthyridine derivative whose fluorescence signals exceeded the detector response limits. All standard solutions for urine (calibration and control) were diluted similarly (1:10) before the derivatization procedure.

For plasma, the

Conclusion

An optimization and validation of the assay of NMN in biological fluids is presented, using a derivatization reaction first proposed by Huff and Perlzweig [6] and further improved by Clark et al. [7]. Efforts have been made not only for improving the method but also for enabling a fully automatable HPLC analysis of derivatize samples, especially in plasma, where stability problems had to be solved. Indeed analysis of large number of samples over a prolonged period of time (overnight), makes it

Acknowledgements

We are indebted to Thierry Buclin for the statistical analysis and to Ali Maghraoui for the data management and the graphics.

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