Silvia Milani

Protein adsorption to nanoparticles (NPs) is a key prerequisite to understand NP-cell interactions. While the layer thickness of the protein corona has been well characterized in many cases, the absolute number of bound proteins and their exchange dynamics in body fluids is difficult to assess. Here we measure the number of molecules adsorbed to sulfonate (PSOSO(3)H) and carboxyl-(PSCOOH) polystyrene NPs using fluorescence correlation spectroscopy. We find that the fraction of molecules bound to NPs falls onto a single, universal adsorption curve, if plotted as a function of molar protein-to-NP ratio. The adsorption curve shows the build-up of a strongly bound monolayer up to the point of monolayer saturation (at a geometrically defined protein-to-NP ratio), beyond which a secondary, weakly bound layer is formed. While the first layer is irreversibly bound (hard corona), the secondary layer (soft corona) exhibits dynamic exchange, if competing unlabeled is added. In the presence of plasma proteins, the hard corona is stable, while the soft corona is almost completely removed. The existence of two distinct time scales in the protein off-kinetics, for both NP types studied here, indicates the possibility of an exposure memory effect in the NP corona.

s) and (ii) its final composition for silica NPs in a model plasma made of three blood proteins (human serum albumin, transferrin, and fibrinogen). When computer simulations are calibrated by experimental protein-NP binding affinities measured in single-protein solutions, the theoretical model correctly reproduces competitive protein replacement as proven by independent experiments. When we change the order of administration of the three proteins, we observe a memory effect in the final corona composition that we can explain within our model. Our combined experimental and computational approach is a step toward the development of systematic prediction and control of protein-NP corona composition based on a hierarchy of equilibrium protein binding constants.

Abstract During the past 20 years non‐invasive screening tests have been increasingly utilized in prenatal diagnosis (PD) practice. Considerable effort has been exerted by multicenter consortia to evaluate the reliability of non‐invasive screening tests in detecting those women with an increased risk of having a pregnancy affected by trisomies 21, 18, and 13, monosomy X, and triploidies. To what extent this group of abnormal karyotypes accounts for the total number of phenotypically relevant fetal chromosome abnormalities has, however, never been investigated. The present report is an attempt aimed to quantify this proportion. A retrospective analysis of a homogeneous survey of 115,128 consecutive invasive prenatal tests was undertaken. All cases were classified in accordance with the indication given for the invasive testing. Cytogenetic results regarding 96,416 karyotype analyses performed because of advanced maternal age (≥35 years) or gestational anxiety (<35 years) were considered since these are the patients who usually undergo non‐invasive screening tests. We calculated the number of cases (T21, T18, T13, 45,X, and triploidy) that would have been detected by prenatal screening on the basis of the published detection rate of the combined‐2 test or the quadruple test. Our findings indicate that the chromosomal abnormalities investigated by screening tests represent <50% of the fetal chromosomal abnormalities associated with an abnormal outcome ranging from intermediate‐to‐severe in women <35 years (45.8% and 39.6% in the first and second trimesters, respectively), and sensitivity >50% in women ≥35 years (65.1% and 61.8%, respectively). To conclude, approximately 50% of the phenotypically relevant abnormal karyotypes cannot be detected by non‐invasive prenatal screening tests. © 2010 Wiley‐Liss, Inc.