Determination of Fertility Hormones and Adipokines by LC-MRM/MS Analysis

通过 LC-MRM/MS 分析测定生育激素和脂肪因子

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作者:Anna Illiano, Gabriella Pinto, Amelia Mallardo, Chiara Melchiorre, Stefania Serpico, Marco Varelli, Stefania Fasano, Francesca di Rella, Maria Rosaria Campitiello, Gaetano Buonfanti, Angela Amoresano

Abstract

Due to the increase in the rate of male and female infertility, assisted fertilization practices are currently adopted as valid support for couples unable to get pregnant. Analytical approaches for fertility hormone dosages are constantly being developed, following the technological progress of fertilization methods that have evolved for more than a century. Indeed, the analysis of fertility hormones in serum samples is a common clinical practice to check the fertility state, but absolute quantification of these hormones is a great challenge due to biological variability and low serum concentrations. Currently, ELISA (enzyme-linked immunosorbent assay) based methods are the most used analytical techniques to quantify hormones in blood in clinical settings. The current Article discusses the development of a liquid chromatography-tandem mass spectrometry method (LC-MS/MS) to monitor multiple fertility hormones of a protein nature in a single chromatographic run, i.e., LH (luteinizing hormone), FSH (follicle-stimulating hormone), TSH (thyroid-stimulating hormone), AMH (anti-Müllerian hormone), adiponectin, ghrelin, leptin, glucagon, and obestatin. Particular attention has been paid to the AMH hormone, whose ELISA-based quantification is known to be controversial due to the poor reproducibility between the various kits used. For AMH, the internal standard method was used for the quantitative determination to compare mass spectrometry data to the ELISA assays performed by an accredited analysis laboratory on a cohort of samples from women aged between 18 and 60 years. The ability to monitor multiple transitions by LC-MRM/MS ensured both high specificity and high selectivity, which is necessary for the quantification of protein and steroid hormones, besides improvements in data reproducibility and reduced analysis times and costs.

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