A serum proteome signature to predict mortality in severe COVID-19 patients.

Here, we recorded serum proteome profiles of 33 severe COVID-19 patients admitted to respiratory and intensive care units because of respiratory failure. We received, for most patients, blood samples just after admission and at two more later time points. With the aim to predict treatment outcome, we focused on serum proteins different in abundance between the group of survivors and non-survivors. We observed that a small panel of about a dozen proteins were significantly different in abundance between these two groups. The four structurally and functionally related type-3 cystatins AHSG, FETUB, histidine-rich glycoprotein, and KNG1 were all more abundant in the survivors. The family of inter-α-trypsin inhibitors, ITIH1, ITIH2, ITIH3, and ITIH4, were all found to be differentially abundant in between survivors and non-survivors, whereby ITIH1 and ITIH2 were more abundant in the survivor group and ITIH3 and ITIH4 more abundant in the non-survivors. ITIH1/ITIH2 and ITIH3/ITIH4 also showed opposite trends in protein abundance during disease progression. We defined an optimal panel of nine proteins for mortality risk assessment. The prediction power of this mortality risk panel was evaluated against two recent COVID-19 serum proteomics studies on independent cohorts measured in other laboratories in different countries and observed to perform very well in predicting mortality also in these cohorts. This panel may not be unique for COVID-19 as some of the proteins in the panel have previously been annotated as mortality markers in aging and in other diseases caused by different pathogens, including bacteria.

Does the protein corona take over the selectivity of molecularly imprinted nanoparticles? The biological challenges to recognition.

"Plastic antibodies" are nano-sized biomimetics prepared by the molecular imprinting technology, which have the robustness of polymers, but specificity and selectivity alike natural receptors making them ideal for analytical uses. The current challenge is to translate plastic antibodies to in vivo applications for diagnosis, drug delivery, theranostic, therefore it is crucial to evaluate the effect of the biological sample complexity on the selectivity and the formation of protein corona (PCs), which ultimately dictate the fate of circulating nanoparticles. A set (n = 4) of plastic antibodies (nanoMIPs) against different proteins was prepared. Quantitative (iBAC) shotgun proteomics permitted to define the PC composition of nanoMIPs in human plasma, the relative protein abundances, the correlation between PC and the plasma dilution. NanoMIPs showed >200 proteins PC, while ~150 proteins were found on controls, suggesting the imprinting process influences the nanoparticle's structure hence the protein uptake. NanoMIPs and controls shared the 44% of the PC, but PC iBAQ values on nanoMIPs were 10-100 times higher than controls, suggesting PC/nanoMIPs interactions were far stronger than PC/non imprinted particles. PCs were richer in small proteins and in immunoglobulins, indicating a defensive response, while the selectivity was negatively challenged in the crowded plasma sample. SIGNIFICANCE: The formation and the composition of the protein corona (PC) is key to decide the fate of nanoparticles when in vivo, therefore there is the strong need to study the composition of the PC. To enable and to support the translation of the use of plastic antibodies (nanoMIPs), prepared by means of the molecular imprinting technique, to the clinical practice and to in vivo uses, the present work evaluates the effects of the complexity of the biological sample (plasma) on nanoMIPs composed of highly crosslinked polyacrylamide and acrylamide derivatives. Proteomic study offers an in depth insight of the protein corona formed in plasma on nanoMIPs. A set of nanoMIPs synthesized and raised to recognize either small or large proteins was tested. The selection abilities of the nanoMIPs when placed in plasma at different dilutions was studied. Quantitative shotgun proteomics allowed to define the composition of the formed protein corona (PC) enabling to detail the protein compositions, the relative abundances, its correlation to the biological sample composition and the correlation between PC and nanoMIP's imprinted template. In plasma, all the nanoMIPs gained a PC composed of more than 200 proteins. Type of protein recruited for the corona, molecular weight and abundance in the PC were studied. The PC on the nanoMIPs appeared to be driven by the protein composition of the plasma, while the template protein, towards which a nanoMIP was imprinted and that was proven to have high affinity for, did not influence the PC.