To date, the complexity of the plasma proteome exceeds the analytical capacity of conventional approaches to isolate lower abundance proteins that may prove to be informative biomarkers. Only complex multistep separation strategies have been able to detect a substantial number of low abundance proteins (<100 ng/ml). The first step of these protocols is generally the depletion of high abundance proteins by the use of immunoaffinity columns or, alternatively, the enrichment of by the use of solid phase hexapeptides ligand libraries. Here we present a direct comparison of these two approaches. Following either approach, the plasma sample was further fractionated by SCX chromatography and analyzed by RP-LC-MS/MS with a Q-TOF mass spectrometer. The depletion of the 20 most abundant plasma proteins allowed the identification of about 25% more proteins than those detectable following low abundance proteins enrichment. The two datasets are partially overlapping and the identified proteins belong to the same order of magnitude in terms of plasma concentration. Our results show that the two approaches give complementary results. However, the enrichment of low abundance proteins has the great advantage of obtaining much larger amount of material that can be used for further fractionations and analyses and emerges also as a cheaper and technically simpler approach. Collectively, these data indicate that the enrichment approach seems more suitable as the first stage of a complex multi-step fractionation protocol.

Massive molecular testing for SARS-CoV-2 diagnosis is mandatory to manage the spread of COVID-19. Diagnostic screening should be performed at a mass scale, extended to the asymptomatic population, and repeated over time. An accurate diagnostic pipeline for SARS-CoV-2 that could massively increase the laboratory efficiency, while being sustainable in terms of time and costs, should be based on a pooling strategy. In the past few months, researchers from different disciplines had this same idea: test groups, not individuals. This critical review intends to highlight both the general consents—even if the results from different publications have been obtained with different protocols—and the points of disagreement that are creating some interpretative/comprehension difficulties. Different pooling schemes and technical aspects associated to the type of pooling adopted are described and discussed. We hope that this review can consolidate information to support researchers in designing optimized COVID-19 testing protocols based on pooling.