Genome-wide association studies have identified risk loci linked to inflammatory bowel disease (IBD)1—a complex chronic inflammatory disorder of the gastrointestinal tract. The increasing prevalence of IBD in industrialized countries and the augmented disease risk observed in migrants who move into areas of higher disease prevalence suggest that environmental factors are also important determinants of IBD susceptibility and severity2. However, the identification of environmental factors relevant to IBD and the mechanisms by which they influence disease has been hampered by the lack of platforms for their systematic investigation. Here we describe an integrated systems approach, combining publicly available databases, zebrafish chemical screens, machine learning and mouse preclinical models to identify environmental factors that control intestinal inflammation. This approach established that the herbicide propyzamide increases inflammation in the small and large intestine. Moreover, we show that an AHR–NF-κB–C/EBPβ signalling axis operates in T cells and dendritic cells to promote intestinal inflammation, and is targeted by propyzamide. In conclusion, we developed a pipeline for the identification of environmental factors and mechanisms of pathogenesis in IBD and, potentially, other inflammatory diseases. The herbicide propyzamide increases inflammation in the small and large intestine, and the AHR–NF-κB–C/EBPβ signalling axis—which operates in T cells and dendritic cells to promote intestinal inflammation—is targeted by propyzamide.

Genocea’s ATLAS platform is an empirical bioassay that uses patient autologous immune cells to identify both true neoantigens and Inhibigens࣪ for inclusion in or exclusion from neoantigen-targeted vaccines and cell therapies, respectively. In ATLAS, patient-derived antigen-presenting cells (APCs) are pulsed with E. coli expressing individual mutations identified from the patient mutanome ± listeriolysin O, enabling interrogation of both CD8+ and CD4+ T cell recognition. True neoantigens induce T cell activation and cytokine release, while Inhibigens lead to a downregulation of T cell responses and thus can promote tumor growth. Previous ATLAS screening of CD8+ T cells from mice carrying B16F10 mouse melanoma tumors identified both neoantigens and Inhibigens. Upon therapeutic vaccination, adjuvanted neoantigens generated immunogenicity and anti-tumor efficacy1. In contrast, therapeutic vaccination with multiple ATLAS-identified Inhibigens, alone or in combination with an otherwise-protective vaccine, led to accelerated tumor growth, impaired T cell responses, and abrogated tumor immune infiltration. Our current study further explores the mechanism of Inhibigen-specific responses through adoptive transfer of vaccine-experienced T cells into tumor-bearing recipient mice, as well as through analysis of T cell gene expression. Additionally, in order to determine whether Inhibigen identification and treatment translates into pro-tumor effects universally across tumor models, we performed ATLAS screening on CD4+ and CD8+ T cells isolated from mice bearing orthotopic KPC pancreatic cancer. Out of 73 total non-synonymous mutations, we successfully identified 14 CD4+ and 15 CD8+ true neoantigens, and 16 CD4+ and 18 CD8+ Inhibigens. This is the first known comprehensive characterization of endogenous antigens in this model. Therapeutic administration of neoantigens as adjuvanted peptide vaccines in KPC tumor-bearing mice led to smaller tumor sizes and reduced ascites volumes, whereas Inhibigen vaccination accelerated tumor growth. Mouse studies are ongoing and additional data will be presented. Taken together, our data from human cancer patients and two mouse cancer models support the importance of appropriate neoantigen selection and Inhibigen identification and exclusion from cancer therapies. Genocea’s GEN-011 neoantigen-targeted peripheral T cell (NPT) therapy candidate, designed using ATLAS-identified neoantigens and omitting Inhibigens, is being evaluated in an ongoing clinical trial (NCT04596033). Continued exploration of mechanisms of action of Inhibigen-specific responses may reveal new paradigms of cancer immune evasion. 1H Lam et al, Cancer Discov 2021;11:1-18 Citation Format: Hanna S. Starobinets, Victoria L. DeVault, Zoe C. Schmiechen, Ebony A. Miller, Eduardo Cruz, Meagan R. Rollins, Adam L. Burrack, Stephanie J. Rinaldi, Julie Arnold, Emily Tjon, Kyle Gonzalez, Dimitry Lineker, Hubert Lam, Ingunn M. Stromnes, Jessica B. Flechtner. ATLAS-identified Inhibigen-specific responses accelerate tumor growth in mouse melanoma and pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2088.

The emergence of SARS-CoV-2 variants are a persistent threat to the efficacy of currently developed prophylactic vaccines and therapeutic antibodies. These variants accumulate mutations in the spike protein which encodes the epitopes necessary for neutralizing antibody binding. Moreover, emerging evidence suggest that robust antibody responses are insufficient to prevent severe disease and long-lasting viral immunity requires T cells. Thus, understanding how the T cell antigen landscape evolves in the context of these emerging variants remains crucial. T cells responses are durable and recognize a wider breadth of epitopes reducing the possibility of immune escape through mutation. Here, we deploy the ATLAS™ assay which identifies CD4 + and CD8 + T cell antigens by utilizing the endogenous HLA class-I and class-II peptide processing pathways. Profiling of T cells from exposed and unexposed donors revealed rich and complex patterns which highlighted the breadth of antigenic potential encoded in SARS-CoV-2. ATLAS revealed several common or frequent antigenic regions as well as an abundance of responses in the unexposed cohort potentially the result of pre-exposure to related coronaviruses. ORF10 was a common CD4 + response in the unexposed cohort while spike was identified as a common and frequent target in both cohorts. Moreover, the spike response profiles allowed us to accurately predict the impact of Omicron spike mutations. This analysis could thus be applied to study the impact of future emerging VOCs.

Background GEN-009, a personalized vaccine candidate comprised of ATLAS™-prioritized neoantigens combined with Hiltonol®, is currently being evaluated in a Phase 1/2a clinical trial (NCT03633110). ATLAS™ is a cell-based recall assay that, without predictions, screens each patient's mutanome to identify neoantigens for vaccine inclusion and deleterious Inhibigens™ for exclusion. In the Part A monotherapy cohort, vaccine-specific immune responses were generated in all subjects, against 99% of administered peptides.1 Here we characterize immune responses and their association with reduction in tumors in Part B of the study, in which patients were treated with GEN-009 combined with anti-PD-1-based checkpoint inhibitors (CPI). Methods Fourteen adults with solid tumors were enrolled in the study. During the screening and manufacturing period, patients received standard of care anti-PD-1 CPI. Subsequently, patients were immunized with GEN-009 in combination with anti-PD-1. CPI refractory patients received salvage therapy prior to GEN-009. Peripheral blood mononuclear cells were collected at baseline, pre-vaccination (D1), as well as multiple days post first dose. The magnitude and durability of vaccine-induced immune responses were assessed by quantifying neoantigen-specific responses in fluorospot assays. Proliferation of neoantigen-specific T cells and T cell phenotypes were evaluated by flow cytometry. Circulating tumor DNA (ctDNA) levels were monitored pre- and post-GEN-009 dosing to assess its potential as a predictive biomarker. Results GEN-009 immunization induced neoantigen-specific T cell responses in all evaluable patients, with ex vivo responses emerging as early as 1 month and persisting up to 366 days in some subjects. Comparing RECIST responders (PR, CR) to non-responders (SD, PD), the median breadth of statistically positive responses to vaccine antigens at day 50 was greater in non-responders ex vivo (29 vs. 75%, respectively), however, by IVS assay the proportions inverted (83% vs. 38%). Longitudinal evaluation of neoantigen-specific responses revealed an association between the magnitude and kinetics of cytokine secretion and increased activated and proliferating Ki-67+ T cells and TEM cells in both T cell subsets. Quantification of ctDNA in a subset of patients supported the RECIST readouts in association with the enhanced neoantigen-specific T cell responses. Conclusions Vaccination with GEN-009 combined with anti-PD-1-based therapy induced early, durable, and neoantigen-specific CD4+ and CD8+ T cell responses with pronounced Ki-67+ and TEM cell populations. Overall, a greater breadth of response to vaccine neoantigens was associated with improved clinical benefit, which was further supported by ctDNA levels. These data support that GEN-009, in combination with checkpoint blockade, represents a unique approach to treat solid tumors. References Lam H, et al. An empirical antigen selection method identifies neoantigens that either elicit broad anti-tumor response or drive tumor growth. Cancer Discovery 2021 March; 11(3):696–713. Ethics Approval ETHICS STATEMENT This study was approved by Western Institutional Review Board, approval number 1-1078861-1

Cell-cell interactions control the physiology and pathology of the central nervous system (CNS). To study astrocyte cell interactions in vivo, we developed rabies barcode interaction detection followed by sequencing (RABID-seq), which combines barcoded viral tracing and single-cell RNA sequencing (scRNA-seq). Using RABID-seq, we identified axon guidance molecules as candidate mediators of microglia-astrocyte interactions that promote CNS pathology in experimental autoimmune encephalomyelitis (EAE) and, potentially, multiple sclerosis (MS). In vivo cell-specific genetic perturbation EAE studies, in vitro systems, and the analysis of MS scRNA-seq datasets and CNS tissue established that Sema4D and Ephrin-B3 expressed in microglia control astrocyte responses via PlexinB2 and EphB3, respectively. Furthermore, a CNS-penetrant EphB3 inhibitor suppressed astrocyte and microglia proinflammatory responses and ameliorated EAE. In summary, RABID-seq identified microglia-astrocyte interactions and candidate therapeutic targets.

Background Effective immune checkpoint blockade (ICB) treatment is dependent on T-cell recognition of patient-specific mutations (neoantigens). Empirical identification of neoantigens ex vivo has revealed shortcomings of in silico predictions.1 To better understand the impact of ICB treatment on T cell responses and differences between in silico and in vitro methods, neoantigen-specific T cell responses were evaluated in patients with non-small cell lung cancer undergoing first-line therapy with pembrolizumab ± chemotherapy. Methods Tumor and whole blood samples were collected from 14 patients prior to and after immunotherapy; seven each in monotherapy and combination therapy cohorts. The ex vivo ATLAS™ platform was used to profile neoantigen-specific T-cell responses. Patient-specific tumor mutations identified by next-generation sequencing (NGS) were expressed individually as ATLAS clones, processed patient-specific autologous antigen presenting cells, and presented to their T cells in vitro. ATLAS-verified antigens were compared with epitope predictions made using algorithms. Results On average, 150 (range 37–339) non-synonymous mutations were identified. Pre-treatment, ATLAS identified T cell responses to a median of 15% (9–25%) of mutations, with nearly equal proportions of neoantigens (8%, 5–15%) and Inhibigens™, targets of suppressive T cell responses (8%, 3–13%). The combination therapy cohort had more confirmed neoantigens (46, 20–103) than the monotherapy cohort (7, 6–79). After treatment, the median ratio of CD4:CD8 T cells doubled in the monotherapy but not combination cohort (1.2 to 2.4 v. 1.6 to 1.3). Upon non-specific stimulation, T cells from patients on combination therapy expanded poorly relative to monotherapy (24 v. 65-fold, p = 0.014); no significant differences were observed pre-treatment (22 v. 18-fold, p = 0.1578). Post-treatment, the median number of CD8 neoantigens increased in the combination therapy cohort (11 to 15) but in monotherapy were mostly unchanged (6 to 7). Across timepoints, 36% of ATLAS-identified responses overlapped. In silico analysis resulted in 1,895 predicted epitopes among 961 total mutations; among those, 30% were confirmed with ATLAS, although nearly half were Inhibigens, which could not be predicted. Moreover, 50% of confirmed neoantigens were missed by in silico prediction. Conclusions Monotherapy and combination therapy had differential effects on CD4:CD8 T cell ratios and their non-specific expansion. A greater proportion of neoantigens was identified than previously reported in studies employing in silico predictions prior to empirical verification.2 Overlap between confirmed antigens and in silico prediction was observed, but in silico prediction continued to have a large false negative rate and could not characterize Inhibigens. Acknowledgements We would like to acknowledge and thank the patients and their families for participating in this study. References Lam H, McNeil LK, Starobinets H, DeVault VL, Cohen RB, Twardowski P, Johnson ML, Gillison ML, Stein MN, Vaishampayan UN, DeCillis AP, Foti JJ, Vemulapalli V, Tjon E, Ferber K, DeOliveira DB, Broom W, Agnihotri P, Jaffee EM, Wong KK, Drake CG, Carroll PM, Davis TA, Flechtner JB. An empirical antigen selection method identifies neoantigens that either elicit broad antitumor T-cell responses or drive tumor growth. Cancer Discov 2021;11(3):696–713. doi: 10.1158/2159- 8290.CD-20-0377. Epub 2021 January 27. PMID: 33504579. Rosenberg SA. Immersion in the search for effective cancer immunotherapies. Mol Med 27,63(2021). https://doi.org/10.1186/s10020-021-00321-3

2613 Background: GEN-009 is an adjuvanted personalized cancer vaccine containing up to 20 neoantigens selected by ATLAS, an ex vivo bioassay screening autologous T cells for immune responses against both neoantigens as well as Inhibigens. Inhibigen-specific T cells suppress immunity and have been shown to accelerate tumor progression in mice and are avoided in GEN-009. In cohort A, all patients immunized in the adjuvant setting with GEN-009 monotherapy developed immune responses. Nearly all (99%) of selected peptides were immunogenic: ex vivo CD4+ and CD8+ fluorospot responses specific for 51% and 41% of immunized peptides, respectively. Seven of 8 patients continue without progression with a median follow up of 18 months. Methods: GEN-009 is being evaluated in patients (pts) with advanced cancer who received standard-of-care (SOC) PD-1 inhibitor as monotherapy or in combination therapy during vaccine manufacturing. Five vaccine doses were administered over 24 weeks in combination with a PD-1 CPI. Patients who progressed prior to vaccination received alternative salvage therapy followed by GEN-009 in combination. Peripheral T cell responses were measured by fluorospot assays in ex vivo and in vitro stimulation. Results: 15 pts received GEN-009 in combination with a PD-1 inhibitor; 1 patient received GEN-009 monotherapy. Median number of neoantigens per vaccine was 14 (5-18). GEN-009-related adverse events were limited to vaccine injection site reactions and mild myalgias or fatigue. Longitudinal evaluation of ex vivo T cell responses revealed that sequential vaccination with GEN-009 had an overall additive effect on the robustness of IFNγ secretion and responses were persistent for at least 6 months in some patients. Epitope spread was detected in CPI sensitive patients, but not in CPI refractory patients receiving salvage therapy. Three patients who responded to PD-1 inhibition followed by disease stabilization then demonstrated further reduction after GEN-009 vaccination that could represent vaccine effect. Eight of 9 CPI responsive patients are progression-free from 3 to 10 months after first vaccine dose. Four of 7 CPI refractory patients have experienced unexpected prolonged stable disease after vaccination of up to 8 months after vaccination. 2 of 2 patients with available samples lost all evidence of circulating tumor DNA including non-targeted neoantigens. Conclusions: Vaccination with GEN-009 in combination with anti-PD-1 CPI in patients with advanced solid tumors shows little additive toxicity. Preliminary data demonstrate induction of broad neoantigen-specific immune responses and epitope spreading in the presence of PD-1 CPI. Broad immunity against tumor specific targets and encouraging patient outcomes support further study. Clinical trial information: NCT03633110.

Objective MS is an autoimmune demyelinating disease of the CNS, which causes neurologic deficits in young adults and leads to progressive disability. The aryl hydrocarbon receptor (AHR), a ligand-activated transcription factor, can drive anti-inflammatory functions in peripheral immune cells and also in CNS-resident cells. Laquinimod is a drug developed for the treatment of MS known to activate AHR, but the cellular targets of laquinimod are still not completely known. In this work, we analyzed the contribution of AHR activation in astrocytes to its beneficial effects in the experimental autoimmune encephalomyelitis (EAE) preclinical model of MS. Methods We used conditional knockout mice, in combination with genome-wide analysis of gene expression by RNA-seq and in vitro culture systems to investigate the effects of laquinimod on astrocytes. Results We found that AHR activation in astrocytes by laquinimod ameliorates EAE, a preclinical model of MS. Genome-wide RNA-seq transcriptional analyses detected anti-inflammatory effects of laquinimod in glial cells during EAE. Moreover, we established that the Delaq metabolite of laquinimod dampens proinflammatory mediator production while activating tissue-protective mechanisms in glia. Conclusions Taken together, these findings suggest that AHR activation by clinically relevant AHR agonists may represent a novel therapeutic approach for the treatment of MS.

OBJECTIVE:The relationship between serum aryl hydrocarbon receptor (AHR) agonistic activity levels with disease severity, its modulation over the course of relapsing-remitting MS (RRMS), and its regulation in progressive MS (PMS) are unknown. Here, we report the analysis of AHR agonistic activity levels in cross-sectional and longitudinal serum samples of patients with RRMS and PMS.METHODS:In a cross-sectional investigation, a total of 36 control patients diagnosed with noninflammatory diseases, 84 patients with RRMS, 35 patients with secondary progressive MS (SPMS), and 41 patients with primary progressive MS (PPMS) were included in this study. AHR activity was measured in a cell-based luciferase assay and correlated with age, sex, the presence of disease-modifying therapies, Expanded Disability Status Scale scores, and disease duration. In a second longitudinal investigation, we analyzed AHR activity in 13 patients diagnosed with RRMS over a period from 4 to 10 years and correlated AHR agonistic activity with white matter atrophy and lesion load volume changes.RESULTS:In RRMS, AHR ligand levels were globally decreased and associated with disease duration and neurologic disability. In SPMS and PPMS, serum AHR agonistic activity was decreased and correlated with disease severity. Finally, in longitudinal serum samples of patients with RRMS, decreased AHR agonistic activity was linked to progressive CNS atrophy and increased lesion load.CONCLUSIONS:These findings suggest that serum AHR agonist levels negatively correlate with disability in RRMS and PMS and decrease longitudinally in correlation with MRI markers of disease progression. Thus, serum AHR agonistic activity may serve as novel biomarker for disability progression in MS.

Supplementary Table from An Empirical Antigen Selection Method Identifies Neoantigens That Either Elicit Broad Antitumor T-cell Responses or Drive Tumor Growth

IL-17-producing Th17 cells are implicated in the pathogenesis of rheumatoid arthritis (RA) and TNF-α, a proinflammatory cytokine in the rheumatoid joint, facilitates Th17 differentiation. Anti-TNF therapy ameliorates disease in many patients with rheumatoid arthritis (RA). However, a significant proportion of patients do not respond to this therapy. The impact of anti-TNF therapy on Th17 responses in RA is not well understood. We conducted high-throughput gene expression analysis of Th17-enriched CCR6+CXCR3-CD45RA- CD4+ T (CCR6+ T) cells isolated from anti-TNF-treated RA patients classified as responders or nonresponders to therapy. CCR6+ T cells from responders and nonresponders had distinct gene expression profiles. Proinflammatory signaling was elevated in the CCR6+ T cells of nonresponders, and pathogenic Th17 signature genes were up-regulated in these cells. Gene set enrichment analysis on these signature genes identified transcription factor USF2 as their upstream regulator, which was also increased in nonresponders. Importantly, short hairpin RNA targeting USF2 in pathogenic Th17 cells led to reduced expression of proinflammatory cytokines IL-17A, IFN-γ, IL-22, and granulocyte-macrophage colony-stimulating factor (GM-CSF) as well as transcription factor T-bet. Together, our results revealed inadequate suppression of Th17 responses by anti-TNF in nonresponders, and direct targeting of the USF2-signaling pathway may be a potential therapeutic approach in the anti-TNF refractory RA.

Zika virus (ZIKV) is a flavivirus linked to multiple birth defects including microcephaly, known as congenital ZIKV syndrome. The identification of host factors involved in ZIKV replication may guide efficacious therapeutic interventions. In genome-wide transcriptional studies, we found that ZIKV infection triggers aryl hydrocarbon receptor (AHR) activation. Specifically, ZIKV infection induces kynurenine (Kyn) production, which activates AHR, limiting the production of type I interferons (IFN-I) involved in antiviral immunity. Moreover, ZIKV-triggered AHR activation suppresses intrinsic immunity driven by the promyelocytic leukemia (PML) protein, which limits ZIKV replication. AHR inhibition suppressed the replication of multiple ZIKV strains in vitro and also suppressed replication of the related flavivirus dengue. Finally, AHR inhibition with a nanoparticle-delivered AHR antagonist or an inhibitor developed for human use limited ZIKV replication and ameliorated newborn microcephaly in a murine model. In summary, we identified AHR as a host factor for ZIKV replication and PML protein as a driver of anti-ZIKV intrinsic immunity.

Multiple sclerosis is a chronic inflammatory disease of the CNS1. Astrocytes contribute to the pathogenesis of multiple sclerosis2, but little is known about the heterogeneity of astrocytes and its regulation. Here we report the analysis of astrocytes in multiple sclerosis and its preclinical model experimental autoimmune encephalomyelitis (EAE) by single-cell RNA sequencing in combination with cell-specific Ribotag RNA profiling, assay for transposase-accessible chromatin with sequencing (ATAC–seq), chromatin immunoprecipitation with sequencing (ChIP–seq), genome-wide analysis of DNA methylation and in vivo CRISPR–Cas9-based genetic perturbations. We identified astrocytes in EAE and multiple sclerosis that were characterized by decreased expression of NRF2 and increased expression of MAFG, which cooperates with MAT2α to promote DNA methylation and represses antioxidant and anti-inflammatory transcriptional programs. Granulocyte–macrophage colony-stimulating factor (GM-CSF) signalling in astrocytes drives the expression of MAFG and MAT2α and pro-inflammatory transcriptional modules, contributing to CNS pathology in EAE and, potentially, multiple sclerosis. Our results identify candidate therapeutic targets in multiple sclerosis. Single-cell RNA sequencing of cells from humans with multiple sclerosis and mice with a model of the disease identifies a population of disease-promoting astrocytes in which anti-oxidant and anti-inflammatory proteins are suppressed.

Significance Current treatments for autoimmune diseases rely on nonspecific immunosuppression, risking important complications and limiting the long-term use of these approaches for the treatment of chronic human autoimmunity. Thus, there is an unmet need for therapeutic approaches to reestablish immune tolerance in autoimmune disorders in an antigen-specific manner. Here, we describe a nanoliposome (NLP)-based platform for the induction of antigen-specific tolerance via the modulation of signaling by the aryl hydrocarbon receptor. These NLPs suppress disease pathology and pathogenic autoimmunity in preclinical models of multiple sclerosis, providing a candidate antigen-specific therapeutic approach for the management of autoimmune disorders.

Metabolism has been shown to control peripheral immunity, but little is known about its role in central nervous system (CNS) inflammation. Through a combination of proteomic, metabolomic, transcriptomic, and perturbation studies, we found that sphingolipid metabolism in astrocytes triggers the interaction of the C2 domain in cytosolic phospholipase A2 (cPLA2) with the CARD domain in mitochondrial antiviral signaling protein (MAVS), boosting NF-κB-driven transcriptional programs that promote CNS inflammation in experimental autoimmune encephalomyelitis (EAE) and, potentially, multiple sclerosis. cPLA2 recruitment to MAVS also disrupts MAVS-hexokinase 2 (HK2) interactions, decreasing HK enzymatic activity and the production of lactate involved in the metabolic support of neurons. Miglustat, a drug used to treat Gaucher and Niemann-Pick disease, suppresses astrocyte pathogenic activities and ameliorates EAE. Collectively, these findings define a novel immunometabolic mechanism that drives pro-inflammatory astrocyte activities, outlines a new role for MAVS in CNS inflammation, and identifies candidate targets for therapeutic intervention.

In the version of this article initially published, author Alexandre Prat’s surname was misspelled. The error has been corrected in the HTML and PDF versions of the article.

None of the disease-modifying therapies (DMTs) currently being used for the management of multiple sclerosis (MS) are 100% effective. In addition, side effects associated with the use of these DMTs have limited the practice of combination therapy. Hence, there is a need for safe immunomodulatory agents to fine-tune the management of MS. The gut microbiome plays an important role in autoimmunity, and several studies have reported alterations in the gut microbiome of MS patients. Studies in animal model of MS have identified members of the gut commensal microflora that exacerbate or ameliorate neuroinflammation. Probiotics represent an oral, non-toxic immunomodulatory agent that could be used in combination with current MS therapy. We designed a pilot study to investigate the effect of VSL3 on the gut microbiome and peripheral immune system function in healthy controls and MS patients. VSL3 administration was associated with increased abundance of many taxa with enriched taxa predominated by Lactobacillus, Streptococcus, and Bifidobacterium species. At the immune level, VSL3 administration induced an anti-inflammatory peripheral immune response characterized by decreased frequency of intermediate monocytes (CD14 high CD16 low ), decreased mean fluorescence intensity (MFI) of CD80 on classical monocytes as well as decreased human leukocyte antigen–antigen D related (HLA-DR) MFI on dendritic cells.