Ricerc@Sapienza

Type 2 diabetes mellitus (T2DM) is a leading cause of disability globally. Frailty is a high-impact geriatric condition that increases the risk of negative health outcomes and imposes remarkable health and social burden. Both frailty and T2DM show multifaceted pathophysiology, phenotypic heterogeneity, and fluctuating manifestations that challenge their management, especially when the two conditions co-occur.

Metagenomics has gained worldwide prominence as one of the indispensable omics technologies over the past several years in particular. Metagenomics applications in clinical medicine, ecology, planetary health and built environments are increasingly reported in the literature. Many countries are both striving and struggling to cultivate metagenomics scholarship as one of the drivers of life sciences innovation in early 21st century. Italy is no exception and has made important strides in metagenomics over the past decade.

Today, early disease detection (EDD) is a matter of more importance than ever in medicine. Upon interaction with human plasma, nanoparticles are covered by proteins leading to formation of a biomolecular corona (BC). As the protein patterns of patients with conditions differ from those of healthy subjects, current research into technologies based on the exploitation of personalized BC patterns could be a turning point for early disease detection. Here, we present a framework based on principal component analysis of large personalized BC datasets.