Marco Gaspari

Associate professor

Università degli Studi Mediterranea di Reggio Calabria
Country flagItaly

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About

Marco Gaspari is an Associate Professor at Universita degli Studi Magna Graecia di Catanzaro in Italy. His research focuses on quantitative proteomics, including the evaluation of performance in data-independent acquisition mass spectrometry and its applications in clinical settings, particularly for prostate cancer detection and post-mortem interval biomarkers. Recent publications reflect his expertise in forensic proteomics and glycoproteomics, contributing to advancements in predictive models and analytical methodologies within the field.

Articles (5)

Year:

2024

Year:

2023

Estimating the time since death (post mortem interval, PMI) represents one of the most important tasks in daily forensic casework. For decades, forensic scientists have investigated changes in post mortem body composition, focusing on different physical, chemical, or biological aspects, to discover a reliable method for estimating PMI; nevertheless, all of these attempts remain unsuccessful considering the currently available methodical spectrum characterized by great inaccuracies and limitations. However, recent promising approaches focus on the post mortem decomposition of biomolecules. In particular, significant advances have been made in research on the post mortem degradation of proteins. In the present study, we investigated early post mortem changes (during the first 24 h) in the proteome profile of the pig skeletal muscle looking for new PMI specific biomarkers. By mass spectrometry (MS)-based proteomics, we were able to identify a total of nine potential PMI biomarkers, whose quantity changed constantly and progressively over time, directly or inversely proportional to the advancement of post mortem hours. Our preliminary study underlines the importance of the proteomic approach in the search for a reliable method for PMI determination and highlights the need to characterize a large number of reliable marker proteins useful in forensic practice for PMI estimation.

Year:

2023

Year:

2021

Year:

2021

Collaborators (3)

Giovanni Cuda

Professore Ordinario di Biologia Molecolare

Universitá degli Studi Magna Græcia di Catanzaro Dipartimento di Medicina Sperimentale e Clinica

ITALY
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Daniela Pellegrino

University of Calabria

ITALY
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Alessandro Marrone

University of Calabria

ITALY
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