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Myeloid-derived suppressor cells (MDSCs) are heterogenous populations of immature myeloid cells that can be divided into two main subpopulations, polymorphonuclear (PMN) MDSCs and monocytic (M) MDSCs. These cells accumulate during chronic inflammation, characterizing an array of pathologies such as cancer, inflammatory bowel disease, and infectious and autoimmune diseases, and induce immunosuppression. The suppressive effects of MDSCs on the immune system are studied mainly when focusing on their features, functions, and impact on target cells such as T cells, natural killer cells, and B cells, among others. Herein, we describe methods for the analysis of MDSC immunosuppressive features and functions, measuring different mediators that contribute to their activities and how they impact on T cell function. The protocols described are a continuation to those in a companion Current Protocols article by Reuven et al. (2022), which uses a generated single-cell suspension and isolated cells to test their activity. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Evaluating MDSC suppressive features Alternate Protocol 1: Dichlorofluorescein diacetate-based reactive oxygen species detection Support Protocol 1: Detection of nitric oxide secretion Support Protocol 2: Measurement of arginase activity Basic Protocol 2: Evaluating MDSC suppressive function Alternate Protocol 2: In vitro effects of MDSCs on expression of T cell receptor complex during activation Support Protocol 3: Effect of MDSCs on interferon γ production Basic Protocol 3: Effect of MDSCs on T cell proliferation Basic Protocol 4: Effect of MDSCs on T cell cytotoxic activity Alternate Protocol 3: In vivo cytotoxicity assay Basic Protocol 5: Analysis of MDSC differentiation., (© 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.)

Myeloid-derived suppressor cells (MDSCs) are heterogenous populations of immature myeloid cells that can be divided into two main subpopulations, polymorphonuclear (PMN) MDSCs and monocytic (M) MDSCs. These cells accumulate during chronic inflammation and induce immunosuppression evident in an array of pathologies such as cancer, inflammatory bowel disease, and infectious and autoimmune diseases. Herein, we describe methods to isolate and characterize MDSCs from various murine tissue, as well as to phenotype blood-derived MDSCs from patients. The protocols describe methods for isolation of total MDSCs and their subpopulations, for characterization, and for evaluation of their distribution within tissue, as well as for assessing their maturation stage by flow cytometry, immunofluorescence analyses, and Giemsa staining. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Single-cell suspension generation from different tissue Alternate Protocol 1: Single-cell suspension generation from subcutaneous melanoma tumors Basic Protocol 2: Characterization of MDSC phenotype Basic Protocol 3: Cell separation using magnetic beads: Separating pan-MDSCs or PMN-MDSC and M-MDSC subpopulations Alternate Protocol 2: Staining and preparing MDSCs for sorting Support Protocol: PMN-MDSC and M-MDSC gating strategy in mouse Basic Protocol 4: Immunofluorescence analysis of MDSCs Basic Protocol 5: Handling human blood samples and characterizing human MDSCs Alternate Protocol 3: Flow cytometry staining of thawed human whole blood samples., (© 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.)

Elevated osteoclast (OC) activity is a major contributor to inflammatory bone loss (IBL) during chronic inflammatory diseases. However, the specific OC precursors (OCPs) responding to inflammatory cues and the underlying mechanisms leading to IBL are poorly understood. We identified two distinct OCP subsets: Ly6C hi CD11b hi inflammatory OCPs (iOCPs) induced during chronic inflammation, and homeostatic Ly6C hi CD11b lo OCPs (hOCPs) which remained unchanged. Functional and proteomic characterization revealed that while iOCPs were rare and displayed low osteoclastogenic potential under normal conditions, they expanded during chronic inflammation and generated OCs with enhanced activity. In contrast, hOCPs were abundant and manifested high osteoclastogenic potential under normal conditions but generated OCs with low activity and were unresponsive to the inflammatory environment. Osteoclasts derived from iOCPs expressed higher levels of resorptive and metabolic proteins than those generated from hOCPs, highlighting that different osteoclast populations are formed by distinct precursors. We further identified the TNF-α and S100A8/A9 proteins as key regulators that control the iOCP response during chronic inflammation. Furthermore, we demonstrated that the response of iOCPs but not that of hOCPs was abrogated in tnf-α -/- mice, in correlation with attenuated IBL. Our findings suggest a central role for iOCPs in IBL induction. iOCPs can serve as potential biomarkers for IBL detection and possibly as new therapeutic targets to combat IBL in a wide range of inflammatory conditions., (© 2022. The Author(s).)

Background: Opportunistic pulmonary infections are a major cause of morbidity and mortality among solid organ transplant recipients. The diagnosis of these infections is challenging because of the broad spectrum of bacteria, fungi and viruses affecting these patients and the lack of specific signs and symptoms. Treatment directed at the offending organism started as soon as possible improves survival., Objective: To develop a decision support system for the diagnosis of pulmonary infections in solid-organ transplant recipients. The model's goal is to improve the accuracy of the diagnosis and thus the appropriateness of empirical treatment., Design: The model is built using a Bayesian network (also known as causal probabilistic network). The network is based on pathogen segments which are the main building blocks of the model. Segments share common risk factors, such as time after transplantation, latent infections of donor/recipient and organ transplanted. The segments are linked at symptoms, signs and diagnostic tests common to all pathogens. The outputs of the model are predicted probabilities of infectious pathogens. To populate the model with data we have mainly abstracted data from the literature, using a systematic approach. The structure of the model and its adaptation for decision support will be presented., Evaluation: The first evaluation phase assessed the model's diagnosis in a series of 20 representative cases of opportunistic infections. A match between the case's diagnosis and the model's prediction was achieved in 17/20 of cases. The next evaluation phase will consist of a prospective observational study comparing the accuracy of the model's diagnosis vs. that of the physician within 24h of episode onset, as compared with a gold-standard diagnosis ascribed to the patients at the end of the infectious episode by two independent experts. Data for this phase are currently collected prospectively., (Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.)

Objectives: To document the effects of appropriate and inappropriate empirical antibiotic therapy on mortality in a cohort of patients with bacteraemia due to methicillin-resistant Staphylococcus aureus (MRSA) and to summarize effects with previous studies., Methods: In the retrospective cohort study, episodes of clinically significant MRSA bacteraemia during a 15 year period were included. Polymicrobial episodes were excluded unless MRSA was isolated in more than one bottle and co-pathogens were given appropriate empirical antibiotic treatment. Appropriate empirical treatment was defined as matching in vitro susceptibility and started within 48 h of blood-culture taking, except for single aminoglycosides or rifampicin. We assessed univariate and multivariate associations between appropriate empirical therapy and 30 day all-cause mortality. Multivariable analysis was conducted using backward stepwise logistic regression. We reviewed all studies assessing the effects of appropriate empirical antibiotic treatment on mortality for MRSA infections and compiled adjusted odds ratios (ORs) using a random effects meta-analysis., Results: Five hundred and ten episodes of MRSA bacteraemia were included. There were no cases of community-acquired infection. The 30 day mortality was 43.9% (224/510) and was stable throughout the study period. Mortality was significantly higher among patients receiving inappropriate (168/342, 49.1%) compared with those receiving appropriate (56/168, 33.3%) empirical antibiotic treatment, P = 0.001. In the adjusted analysis the OR was 2.15 [95% confidence interval (CI) 1.34-3.46]. Pooling of six studies using adequate methodology for the adjusted analysis resulted in an OR of 1.98 (95% CI 1.62-2.44)., Conclusions: Appropriate empirical antibiotic treatment has a significant survival benefit in MRSA bacteraemia. Treatment guidelines should consider this benefit.

Quantifying the benefit of early antibiotic treatment is crucial for decision making and can be assessed only in observational studies. We performed a systematic review of prospective studies reporting the effect of appropriate empirical antibiotic treatment on all-cause mortality among adult inpatients with sepsis. Two reviewers independently extracted data. Risk of bias was assessed using the Newcastle-Ottawa score. We calculated unadjusted odds ratios (ORs) with 95% confidence intervals for each study and extracted adjusted ORs, with variance, methods, and covariates being used for adjustment. ORs were pooled using random-effects meta-analysis. We examined the effects of methodological and clinical confounders on results through subgroup analysis or mixed-effect meta-regression. Seventy studies were included, of which 48 provided an adjusted OR for inappropriate empirical antibiotic treatment. Inappropriate empirical antibiotic treatment was associated with significantly higher mortality in the unadjusted and adjusted comparisons, with considerable heterogeneity occurring in both analyses (I(2) > 70%). Study design, time of mortality assessment, the reporting methods of the multivariable models, and the covariates used for adjustment were significantly associated with effect size. Septic shock was the only clinical variable significantly affecting results (it was associated with higher ORs). Studies adjusting for background conditions and sepsis severity reported a pooled adjusted OR of 1.60 (95% confidence interval = 1.37 to 1.86; 26 studies; number needed to treat to prevent one fatal outcome, 10 patients [95% confidence interval = 8 to 15]; I(2) = 46.3%) given 34% mortality with inappropriate empirical treatment. Appropriate empirical antibiotic treatment is associated with a significant reduction in all-cause mortality. However, the methods used in the observational studies significantly affect the effect size reported. Methods of observational studies assessing the effects of antibiotic treatment should be improved and standardized.

Purpose: Antiviral prophylaxis is commonly prescribed to haematological cancer patients. We conducted a systematic review and meta-analysis to quantify its overall benefit in specific clinical scenarios., Methods: Randomised controlled trials assessing antiviral prophylaxis versus placebo, no treatment, pre-emptive treatment or another antiviral drug were included. Patients undergoing haematopoietic stem cell transplantation (HSCT) or intensive chemotherapy for acute leukaemia or high-grade lymphoma were included. No restrictions on language, year or publication status were applied. Overall mortality, herpes simplex virus (HSV) and cytomegalovirus (CMV) diseases were assessed as primary outcomes. Pooled relative risks (RRs) and numbers needed to treat (NNT) with 95% confidence intervals (CI) are reported., Results: HSCT was the condition assessed in 22 trials and intensive chemotherapy in 5 trials. In the pre-engraftment setting of autologous or allogeneic HSCT, antiviral prophylaxis (mainly acyclovir for HSV seropositive recipients) significantly reduced HSV (NNT 2, 2-2, control event rate (CER) 61.9%) and CMV disease, with no effect on overall mortality. In the allogeneic post-engraftment setting (mainly CMV-seropositive recipients/donors), antiviral prophylaxis resulted in a significant reduction in overall mortality, RR 0.79 (0.65-0.95), NNT 12 (7-50, CER 39.4%) and all viral-related outcomes. In this setting, acyclovir significantly reduced overall mortality (RR 0.71, 0.53-0.96, 4 trials) and ganciclovir/maribavir significantly reduced CMV disease (RR 0.26, 0.14-0.48, 5 trials). During chemotherapy, acyclovir significantly decreased HSV disease (NNT 3, 2-4, CER 37.4%) and infection rates, with no effect on mortality., Conclusions: Antiviral prophylaxis reduced mortality with a small NNT in the post-engraftment setting of allogeneic HSCT. In the pre-engraftment phase and during chemotherapy only viral-related morbidity was reduced.