= Emerging. More than 5 years before clinical availability. (9.82%)
= Expected to be clinically available in 1 to 4 years. (12.95%)
= Clinically available now. (22.77%)
MSACL 2018 EU : Mezzullo

MSACL 2018 EU Abstract

Topic: Endocrinology

Podium Presentation in the Ether on Wednesday at 9:00 (Chair: Flaminia Fanelli)

Evaluation of Age and Metabolic Status Impact on Serum Steroid Hormones and Product/Precursor Ratios for the Generation of LC-MS/MS Reference Interval in Men

Marco Mezzullo (Presenter)
University of Bologna

Presenter Bio(s): Marco Mezzullo’s achieved his MSc in Medical Biotechnology in 2011 by Alma Mater Studiorum, University of Bologna, Italy, after internship in the research group of Prof. Pasquali. He continued his career in the same lab as a research fellow in the mass spec team of Dr. Flamina Fanelli. He improved his expertise in LC-MS/MS method development and validation, he tutored student activity and managed several research activities. His main research topic is represented by salivary steroid hormones evaluation in polycystic ovary syndrome. He is co-author of 23 papers, and is first author three papers on salivary steroids measurement by LC-MS/MS, providing data on assays’ analytical and biological validation as well as on clinical application [Mezzullo et al. 2016, JSBMB; Mezzullo et al. 2017, CCLM; Mezzullo et al. 2018, Psychoneuroendocrinology]. In 2016 he started PhD program.

Authors: Marco Mezzullo, Alessia Fazzini, Uberto Pagotto and Flaminia Fanelli
Endocrinology Unit, Department of Medical and Surgical Sciences (DIMEC), Centre for Applied Biomedical Research (CRBA), S. Orsola-Malpighi University Hospital - University of Bologna, Bologna, Italy

Abstract

Aiming at generating the reference intervals (RIs) for steroid levels and product/precursor ratios, we selected 321 adult drug- and disease-free Italian males, and defined a sub-cohort of 137 metabolically healthy individuals. Twelve serum steroids were measured by two validated LC-MS/MS assays. The independent impact of age, adiposity and metabolic parameters on steroid values was estimated, then, RIs at age 20, 30, 40, 50, 60, 70 and 80 were calculated in the overall and in the metabolically healthy cohort. We provided age- and metabolic status-specific RIs for a broad steroid profile, useful to implement LC-MS/MS in the management of endocrine diseases.


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