ECE2014 Poster Presentations Female reproduction (54 abstracts)
High resolution mass spectrometry to study hormonal regulation of cervical mucus proteome during the menstrual cycle
Domenico Milardi 1 , Giuseppe Grande 2 , Federica Vincenzoni 3 , Giuseppina Pompa 1 , Anna Laura Astorri 1 , Erika Fruscella 1 , Antonella Biscione 5 , Irene Messana 4 , Alfredo Pontecorvi 2 , Laura De Marinis 2 , Massimo Castagnola 3 & Riccardo Marana 1
1International Scientific Institute ‘Paolo VI’, Università Cattolica del S. Cuore, Rome, Italy; 2Division of Endocrinology, Università Cattolica del S. Cuore, Rome, Italy; 3Institute of Biochemistry and Clinical Biochemistry, Università Cattolica del S. Cuore, Rome, Italy; 4Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy; 5Department of Obstetrics and Gynecology, Università Cattolica del S. Cuore, Rome, Italy.
The chemical composition of the cervical mucus (CM), its physical characteristics and the volume secreted show cyclical changes during the menstrual cycle.
Clinical proteomics has recently developed new technologies and bioinformatics useful in identifying molecular markers of physiology and pathology. The development of novel mass spectrometers, like the LTQ-Orbitrap, considerably contributed to increase the quantity of acquired data. Aim of the present study was to firstly apply this methodological approach to CM in order to study the effect of hormonal regulation of CM composition, in the various phases of the menstrual cycle.
CM samples of a fertile woman were obtained before, during, and after ovulation. Proteomic analysis was performed by an Ultimate 3000 Nano/Micro-HPLC apparatus coupled with an LTQ-Orbitrap XL hybrid mass spectrometer. Bionformatic tools were used to identify and annotate the proteins according to the gene ontology molecular function system.
Protein identification criteria resulted in the identification of 32 proteins in the pre-ovulatory sample, 48 proteins in the ovulatory sample and 90 proteins in the post-ovulatory sample.
Antioxidant proteins and proteins involved in enzyme regulation resulted significantly increased after the ovulatation; binding proteins were significantly increased at ovulation. Eleven common proteins were identified in all samples. We moreover identified two exclusive proteins in pre-ovulatory phase CM, 16 exclusive proteins in ovulatory phase CM and 50 exclusive proteins in post-ovulatory CM.
This is the first application of high-resolution MS-based proteomics for the identification of protein constituents of CM. This approach might contribute to identify putative biomarkes of the female reproductive tract in fertility and in female infertility.
These data suggest that the major synthesis of proteins in CM is induced some days after ovulation and might be the consequence of the effect of progesterone-induced proteic synthesis in CM.
Bioinformatic functional analysis of proteomic data offered novel informations about the hormonal regulation of CM functions during the menstrual cycle.
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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