Surface CD52, CD84, and PTGER2 mark mature PMN-MDSCs from cancer patients and G-CSF-treated donors.

Precise molecular characterization of circulating polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) is hampered by their mixed composition of mature and immature cells and lack of specific markers. Here, we focus on mature CD66b+CD10+CD16+CD11b+ PMN-MDSCs (mPMN-MDSCs) from either cancer patients or healthy donors receiving G-CSF for stem cell mobilization (GDs). By RNA sequencing (RNA-seq) experiments, we report the identification of a distinct gene signature shared by the different mPMN-MDSC populations under investigation, also validated in mPMN-MDSCs from GDs and tumor-associated neutrophils (TANs) by single-cell RNA-seq (scRNA-seq) experiments. Analysis of such a gene signature uncovers a specific transcriptional program associated with mPMN-MDSC differentiation and allows us to identify that, in patients with either solid or hematologic tumors and in GDs, CD52, CD84, and prostaglandin E receptor 2 (PTGER2) represent potential mPMN-MDSC-associated markers. Altogether, our findings indicate that mature PMN-MDSCs distinctively undergo specific reprogramming during differentiation and lay the groundwork for selective immunomonitoring, and eventually targeting, of mature PMN-MDSCs.

Plasmacytoid Dendritic Cell, Slan+-Monocyte and Natural Killer Cell Counts Function as Blood Cell-Based Biomarkers for Predicting Responses to Immune Checkpoint Inhibitor Monotherapy in Non-Small Cell Lung Cancer Patients.

The advent of immune checkpoint inhibitors (ICIs), for instance, programmed cell death 1 (PD-1)/PD-1 ligand 1 (PD-L1) blockers, has greatly improved the outcome of patients affected by non-small cell lung cancer (NSCLC). However, most NSCLC patients either do not respond to ICI monotherapy or develop resistance to it after an initial response. Therefore, the identification of biomarkers for predicting the response of patients to ICI monotherapy represents an urgent issue. Great efforts are currently dedicated toward identifying blood-based biomarkers to predict responses to ICI monotherapy. In this study, more commonly utilized blood-based biomarkers, such as the neutrophil-to-lymphocyte ratio (NLR) and the lung immune prognostic index (LIPI) score, as well as the frequency/number and activation status of various types of circulating innate immune cell populations, were evaluated in NSCLC patients at baseline before therapy initiation. The data indicated that, among all the parameters tested, low plasmacytoid dendritic cell (pDC), slan+-monocyte and natural killer cell counts, as well as a high LIPI score and elevated PD-L1 expression levels on type 1 conventional DCs (cDC1s), were independently correlated with a negative response to ICI therapy in NSCLC patients. The results from this study suggest that the evaluation of innate immune cell numbers and phenotypes may provide novel and promising predictive biomarkers for ICI monotherapy in NSCLC patients.

Clathrin Assembly Regulated by Adaptor Proteins in Coarse-Grained Models.

The assembly of clathrin triskelia into polyhedral cages during endocytosis is regulated by adaptor proteins (APs). We explore how APs achieve this by developing coarse-grained models for clathrin and AP2, employing a Monte Carlo click interaction, to simulate their collective aggregation behavior. The phase diagrams indicate that a crucial role is played by the mechanical properties of the disordered linker segment of AP. We also present a statistical-mechanical theory for the assembly behavior of clathrin, yielding good agreement with our simulations and experimental data from the literature. Adaptor proteins are found to regulate the formation of clathrin coats under certain conditions, but can also suppress the formation of cages.

Crohn's disease loci are common targets of protozoa-driven selection.

Previous studies indicated that a few risk variants for autoimmune diseases are subject to pathogen-driven selection. Nonetheless, the proportion of risk loci that has been targeted by pathogens and the type of infectious agent(s) that exerted the strongest pressure remain to be evaluated. We assessed whether different pathogens exerted a pressure on known Crohn's disease (CD) risk variants and demonstrate that these single-nucleotide polymorphisms (SNPs) are preferential targets of protozoa-driven selection (P = 0.008). In particular, 19% of SNPs associated with CD have been subject to protozoa-driven selective pressure. Analysis of P values from genome-wide association studies (GWASs) and meta-analyses indicated that protozoan-selected SNPs display significantly stronger association with CD compared with nonselected variants. This same behavior was not observed for GWASs of other autoimmune diseases. Thus, we integrated selection signatures and meta-analysis results to prioritize five genic SNPs for replication in an Italian cohort. Three SNPs were significantly associated with CD risk, and combination with meta-analysis results yielded P values < 4 × 10(-6). The bona fide risk alleles are located in ARHGEF2, an interactor of NOD2, NSF, a gene involved in autophagy, and HEBP1, encoding a possible mediator of inflammation. Pathway analysis indicated that ARHGEF2 and NSF participate in a molecular network, which also contains VAMP3 (previously associated to CD) and is centered around miR-31 (known to be disregulated in CD). Thus, we show that protozoa-driven selective pressure had a major role in shaping predisposition to CD. We next used this information for the identification of three bona fide novel susceptibility loci.