Signature Of Monocytes Research Articles

Single cell RNA-seq identifies a FOS/JUN-related monocyte signature associated with clinical response of heart failure patients with mesenchymal stem cell therapy.

Heart failure (HF) is a serious global health issue that demands innovative treatment approaches. In this study, we collected samples from 4 HF patients before and after MSC therapy and performed scRNA-seq. After the MSC therapy, the proportion of CD14+ monocytes decreased significantly in both the treatment response and non-response groups, with a more pronounced decrease in the treatment response group. The therapy-response and non-response group were clearly separated in the UMAP plot, while the CD14+ monocytes in the therapy-response group before and after MSC therapy were very similar, but there were significant differences in the non-response group. By further performing NMF analysis, we identified 11 subsets of CD14+ monocytes. More importantly, we identified a therapy-related CD14+ monocyte subpopulation. The predictive model based on CD14+ monocytes constructed by machine learning algorithms showed good performance. Moreover, genes such as FOS were highly enriched in the therapy-related CD14+ monocytes. The SCENIC analysis revealed potential regulatory factors for this treatment-responsive CD14+ monocytes, and FOS/JUN were identified as potential core indicators/regulators. Finally, HF patients were divided into three groups by NMF analysis, and the therapy-responsive CD14+ monocyte characteristics were differentially activated among the three groups. Together, this study identifies treatment-responsive CD14+ monocytes as a crucial biomarker for assessing the suitability of MSC therapy and determining which HF patients could benefit from it. This provides new clues for further investigating the therapeutic mechanisms of MSC therapy, offering beneficial insights for personalized treatment and improving prognosis in HF patients.

Time-series transcriptome reveals inflammatory signature in monocytes and neutrophils following acute heat exposure in mine rescuers.

Occupational exposure to extreme high temperatures and the increasing global temperatures necessitates a deeper understanding of the impact of heat exposure on human health. However, the molecular mechanisms underlying the response of monocytes and neutrophils to heat exposure in occupational population remain to be fully elucidated. This study used longitudinal transcriptome to assess the impact of acute heat exposure (50°C for 30 min) in 10 subjects from a mine rescue team before acute heat exposure (baseline) and at 5 min, 30 min, 1 h, and 24 h after acute heat exposure (recovery). The time-series analysis revealed a coordinated molecular choreography of changes involving inflammation, coagulation, extracellular matrix, and energy metabolism. Importantly, the study characterized the inflammatory signature associated with heat exposure in monocytes and neutrophils, as evidenced by the rapid activation of the inflammation-related transcriptome following heat exposure. Additionally, we pinpointed potential regulators, such as NR4A1, FOSL1, EGR3, and ATF3. In summary, the study suggested that the initial response to heat stress in monocytes and neutrophils from mine rescue team member was primarily characterized by a pro-inflammatory stress response, which could potentially lead to the development of inflammation and ultimately result in a systemic inflammatory response in heatstroke.

Molecular Signature of Monocytes Shaped by the Shigella sonnei 1790-Generalized Modules for Membrane Antigens Vaccine.

Shigellosis, an acute gastroenteritis infection caused by Shigella species, remains a public health burden in developing countries. Recently, many outbreaks due to Shigella sonnei multidrug-resistant strains have been reported in high-income countries, and the lack of an effective vaccine represents a major hurdle to counteract this bacterial pathogen. Vaccine candidates against Shigella sonnei are under clinical development, including a Generalized Modules for Membrane Antigens (GMMA)-based vaccine. The mechanisms by which GMMA-based vaccines interact and activate human immune cells remain elusive. Our previous study provided the first evidence that both adaptive and innate immune cells are targeted and functionally shaped by the GMMA-based vaccine. Here, flow cytometry and confocal microscopy analysis allowed us to identify monocytes as the main target population interacting with the S. sonnei 1790-GMMA vaccine on human peripheral blood. In addition, transcriptomic analysis of this cell population revealed a molecular signature induced by 1790-GMMA mostly correlated with the inflammatory response and cytokine-induced processes. This also impacts the expression of genes associated with macrophages' differentiation and T cell regulation, suggesting a dual function for this vaccine platform both as an antigen carrier and as a regulator of immune cell activation and differentiation.

Epigenetic Classification of Acute Myeloid Leukemia Revealed By Genome-Wide Chromatin Profiling

Background Acute myeloid leukemia (AML) is a clinically and molecularly heterogeneous disease and is predominantly defined by genetic abnormalities and morphology. However, many lines of evidence suggest the role of epigenetic alterations in the pathogenesis and the classification of AML, whereas no large-scale comprehensive analyses of both genetic and epigenetic alterations in AML have been reported. Methods We enrolled a total of 1,564 primary AML cases (524 from Japanese and 1,040 from Swedish cohorts), whose diagnostic samples were subjected to ATAC sequencing together with targeted capture sequencing using an in-house gene panel including 331 known AML driver genes and an additional 1,158-1,317 probes for copy number detection. We also performed RNA (N=1,398) and H3K27ac-targeted ChIP sequencing (N=80). Normal bone marrow samples from 25 donors as well as 15 remission samples were analyzed by ATAC-seq as a control. Results ATAC-seq revealed approximately 300,000 reproducible peaks in primary AML. Most peaks were found in gene-distal regions, and explained a large variance across samples. Among all peaks, 72% were not detected in control samples and thus, specific to AML. Analysis of the correlations between ATAC-seq accessibility and gene expression revealed a subset of regulatory elements that regulate nearby gene expression; each peak was linked to a median of 1 gene (0-31), while each gene was associated with a median of 11 peaks (0-110). We next estimated the cellular composition of the bulk AML samples by deconvolution analysis using ATAC-seq data. The predominance of hematopoietic stem cell (HSC), monocyte, and erythroid signatures was associated with French-American-British (FAB) subtypes of minimal differentiation/without maturation subtypes (M0/M1), myelomonocytic/monoblastic/monocytic subtypes (M4/M5), and erythroid subtype (M6), respectively, suggesting bulk ATAC-seq of AML samples reflected the differentiation potential of leukemic cells. The ATAC-based clustering identified 11 distinct epigenetic subgroups, including three well-known genetic classes defined by gene fusions, such as PML::RARA, RUNX1::RUNX1T1, and CBFB::MYH11. By contrast, some genetic classes defined by a single mutation, such as NPM1 or CEBPA mutation, were further classified into multiple distinct epigenetic subgroups. For example, the NPM1-mutated subtype was separated into four subgroups based on the varying degrees of ATAC signatures associated with HSC and monocytes. Each subgroup of NPM1-mutated AML showed different clinical characteristics such as white blood cell counts, age, and prognosis, and co-mutation pattern in FLT3, DNMT3A, and IDH1/ IDH2 mutations. Gene ontology analysis revealed that the subgroup of NPM1-mutated AML with high HSC signature showed upregulated TGF-β signaling, while one with monocytic signature showed upregulated TNF-α signaling and interferon-γ response. Next, we evaluated transcription factor (TF) binding sites in a genome-wide manner, using TF motifs and foot printing in upregulated ATAC-peaks in each subgroup and revealed distinct profiles of activated TFs in each epigenetic subgroup of NPM1-mutated AML. In the subgroup characterized by high HSC signature, HSC-related TFs that belong to MECOM, HOX, and RUNX families, were more active. By contrast, other TFs, such as IRF, CEBP, and JUN/FOS families, were more enriched in the subgroup showing high monocyte signature. By developing a prediction model for these subgroups of NPM1-mutated AML based on the gene expression profile, we reproduced these subgroups and validated clinical and molecular features in an external Beat AML cohort. Utilizing ex vivo drug sensitivity dataset in the Beat AML, we identified candidate drugs showing subgroup-specific effectiveness such as panobinostat for NPM1-mutated AML with monocytic differentiation. Finally, ChIP-seq analysis identified a number of super-enhancers in the vicinity of leukemia-related TFs and oncogenes. Conclusion Through comprehensive profiling of chromatin accessibility and gene mutations/expression in a large cohort of AML patients, we demonstrate the epigenetic heterogeneity and identify novel AML subgroups that had unique epigenetic and clinical features. Our findings highlight the role of epigenetic alterations in AML pathogenesis and impact on molecular classification of AML.

Single-Cell RNA Sequencing Reveals Hypo-Responsiveness of T and NK Cells to Interferon Stimulation As an Immune Hallmark in Asymptomatic Waldenstrom's Macroglobulinemia

Introduction Waldenstrom macroglobulinemia (WM) is a rare, indolent non-Hodgkin lymphoplasmacytic lymphoma of the bone marrow (BM), characterized by monoclonal IgM protein production. WM is preceded by IgM monoclonal gammopathy of undetermined significance (IgM MGUS) and smoldering WM (SWM), which are clinically detectable but asymptomatic precursor phases (collectively referred to as asymptomatic WM; AWM). Recent work has revealed significant changes in the immune microenvironment of patients with overt WM, however, less is known about immune dysregulation in patients with early-stage disease. Methods We performed 5' single-cell RNA sequencing (scRNAseq) on BM immune cells from patients with AWM (n=28), healthy donors (HD, n=23), and patients with smoldering multiple myeloma (SMM) (n=27). We also performed an in vitro stimulation experiment using universal Type I interferon (IFN) and subsequent scRNAseq on bone marrow mononuclear cells (BMMCs) and peripheral blood mononuclear cells (PBMCs) from AWM (n=3) and HD (n=3). Results Overall, we annotated 210,019 immune cells, excluding normal B cells. Despite their early stage, AWM patients showed significantly altered BM immune cell composition, including increased proportions of CD56dim NK cells, CD8+ effector memory cells, and CD16 + Monocytes and decreased proportions of pro-inflammatory CD14 + monocytes and activated and interferon (IFN)-stimulated T and NK cells (q<0.2). Low-risk AWM presented similar changes in immune cell composition as intermediate- and high-risk AWM, implying that compositional alterations may be established early in the disease course. Notably, however, the proportion of Tregs was significantly increased in patients with SWM compared to IgM MGUS (p=0.04), suggesting that Tregs may play a role in disease progression. Next, we compared BM immune cell composition between patients with AWM and SMM. In both tumor types, patients showed significantly higher proportions of CD56dim NK cells and CD16 + monocytes compared to healthy donors. However, strikingly, a significant decrease in activated and IFN-stimulated T and NK cells was only observed in AWM, suggesting it may be a hallmark of disease. Comparison of BMMCs and PBMCs from patients with AWM following in vitro culture revealed that the lack of IFN-stimulated cells was systemic-in both BMMCs and PBMCs-although the effect was significantly more pronounced in BMMCs than PBMCs. Interestingly, while in vitro stimulation with Type I IFN resulted in the generation of IFN-stimulated T and NK cells in both HD and AWM, the levels of IFN stimulation did not entirely normalize, reproducing the gradient observed in the control samples without in vitro stimulation: AWM BM < AWM PB < HD BM. To test whether the observed defect was due to a lack of IFN in AWM, we next compared the gene expression profile of monocytes from AWM and HD, which revealed significantly higher activity of the IFN signature in monocytes from AWM compared to HD (p < 10 -5). This suggests that IFN levels in patients are at least not reduced. Collectively, these results indicate that T and NK cells from AWM are hypo-responsive to IFN stimulation, despite the presence of normal or possibly increased IFN in the BM microenvironment. Conclusion Our results indicate that despite the absence of symptoms, patients with AWM already have immune dysregulation in the BM, including the absence of IFN-stimulated T and NK cells, which may provide a rationale for therapeutic intervention. Previous studies have demonstrated clinical responses to therapeutic IFN administration, suggesting that novel formulations with improved therapeutic windows may have a role in treating patients with WM in the future.

A Novel Model Combining Circulating Absolute Monocyte Counts and a Four-Gene Monocyte Signature in Leukapheresis Identifies Lymphoma Patients at Very High Risk of Progression after Tisagenlecleucel or Axicabtagene Ciloleucel Therapy

Introduction CD19-directed chimeric antigen receptor (CAR) T can induce durable remissions in a fraction of relapsed/refractory large B-cell lymphomas (R/R LBCL), but 60% of patients (pts) still relapse. Biological mechanisms explaining lack of responses are emerging but they are largely unsuccessful in predicting disease response at the patient level. Aim To address the potential role of lymphocyte features before CAR T manufacturing, we performed transcriptomic and functional evaluations of leukapheresis products (LK) in 95 R/R LBCL pts enrolled in a prospective observational study, to identify correlates of response and survival to tisagenlecleucel (Tisa-cel) and axicabtagene ciloleucel (Axi-cel). Methods RNA of sorted CD3+ cells from LK was digitally quantified using the nCounter CAR T Characterization Panel (NanoString). Flow cytometry (FCM) was used for CAR T enumeration and monocyte analysis. Disease response at day 90 was assessed by computed tomography (CT) and positron emission tomography-CT (PET/CT) according to Lugano criteria. Statistical analyses were performed by GraphPad Prism v.9.00 and R v.4.1.2. Results We identified a 4-gene transcriptional signature (including MS4A4A, CD86, CD163 and SIGLEC5) able to divide LBCL pts into two groups, [namely Expressors (EXP) and poor-Expressors (poor-EXP)], characterized by significantly different survival probabilities. EXP have shorter PFS (P<0.0001: median PFS for EXP was 61 days and not reached for poor-EXP) (Fig. 1) and are less likely to respond (P<0.01). As the identified genes are highly expressed in monocytes but not in T cells, we sought to define whether monocytes contained in LK have a role in determining post CAR T outcome. In line with the fact that EXP had higher frequencies of monocytes in LK by FCM, we confirmed elevated absolute monocyte counts (AMC) both in LK (P<0.01) and in peripheral blood (PB) (P<0.05) of EXP. We then checked if monocyte levels could influence response and survival. When compared to responders, non-responders (NR) had higher LK AMC (P<0.01), higher percentages of monocytes (P<0.01) but also decreased percentages of lymphocytes (P<0.001), a parameter that was also associated with reduced PFS [HR: 0.97 (CI 0.96 - 0.99) P=0.01]. Consistent with the fact that circulating monocytes significantly correlated with those in LK (r= 0.6621, P<0.0001), NR also had significantly higher AMC (P<0.001) and AMC levels in PB negatively correlated with PFS [HR: 1.8 (CI 1.2 - 2.9) P=0.01]. Additionally, pts with serum C-reactive protein (CRP) and ferritin levels higher than the upper normal limit, displayed significantly higher AMC (P<0.001 for CRP; P<0.05 for ferritin). Accordingly, univariate analysis indicated that high ferritin, CRP and LDH levels at the time of LK were associated with the lack of response, but only high serum ferritin levels correlated with shorter PFS [HR: 2.86 (CI 1.25-6.55) P=0.013]. We next investigated if the combination of the monocyte signature and high ferritin levels and/or high circulating monocytes could better identify a group of pts at high risk of progression, compared to the expression of the 4 genes alone. Remarkably, albeit high ferritin levels and monocyte counts are overall associated with significantly reduced survival, the shortest PFS was achieved in EXP with monocyte counts above the median (P=0.0234: median PFS for EXP with high monocytes was 32.5 days and for EXP with low monocytes 209 days) (Fig. 2), thus supporting the hypothesis that CAR T treatment outcome is influenced by the presence of elevated levels of monocytes expressing the 4 genes. Concatenated monocyte FCM data from 30 pts analyzed with FlowSOM, followed by a consensus clustering algorithm combined with t-SNE (t-stochastic neighbor embedding), indicated that EXP had higher frequencies of CD14hi monocytes co-expressing MS4A4A, CD86, CD163 and SIGLEC5 at the protein level than poor-EXP (P<0.05), and accordingly, the presence of this population was also associated with lack of response (P<0.05). Conclusions Our data suggest that the poor outcome of some LBCL pts receiving CAR T is due to the presence of high monocytes levels expressing a four-gene signature in an inflammatory microenvironment. Additionally, the pre-manufacturing combined analysis of the gene signature and of PB AMC, could be used to plan trials evaluating CAR T cells versus other newly approved therapies such as bispecific antibodies.

JAK inhibition ameliorated experimental autoimmune encephalomyelitis by blocking GM-CSF-driven inflammatory signature of monocytes.

Monocytes are key effectors in autoimmunity-related diseases in the central nervous system (CNS) due to the critical roles of these cells in the production of proinflammatory cytokines, differentiation of T-helper (Th) cells, and antigen presentation. The JAK-STAT signaling is crucial for initiating monocytes induced immune responses by relaying cytokines signaling. However, the role of this pathway in modulating the communication between monocytes and Th cells in the pathogenesis of multiple sclerosis (MS) is unclear. Here, we show that the JAK1/2/3 and STAT1/3/5/6 subtypes involved in the demyelination mediated by the differentiation of pathological Th1 and Th17 and the CNS-infiltrating inflammatory monocytes in experimental autoimmune encephalomyelitis (EAE), a model for MS. JAK inhibition prevented the CNS-infiltrating CCR2-dependent Ly6Chi monocytes and monocyte-derived dendritic cells in EAE mice. In parallel, the proportion of GM-CSF+CD4+ T cells and GM-CSF secretion were decreased in pathological Th17 cells by JAK inhibition, which in turns converted CNS-invading monocytes into antigen-presenting cells to mediate tissue damage. Together, our data highlight the therapeutic potential of JAK inhibition in treating EAE by blocking the GM-CSF-driven inflammatory signature of monocytes.

C-Myc-induced hypersialylation of small cell lung cancer facilitates pro-tumoral phenotypes of macrophages

Immunosuppressive myeloid cell populations have been documented in small cell lung cancer (SCLC) subtypes, playing a key role in remolding the tumor microenvironment (TME). However, the cancer-associated transcriptional features of monocytes and tumor-associated macrophages (TAMs) in SCLC remain poorly understood. Herein, we analyzed the molecular features and functions of monocyte/macrophage subsets aiming to inhibit monocyte recruitment and pro-tumor behavior of macrophages. We observe that NEUROD1-high SCLC subtype (SCLC-N) exhibits subtype-specific hypersialylation induced by the unique target c-Myc (MYC) of NEUROD1. The hypersialylation can alter macrophage phenotypes and pro-tumor behavior by regulating the expression of the immune-inhibiting lectin receptors on monocyte-derived macrophages (MDMs) in SCLC-N. Inhibiting the aberrant sialic acid metabolic pathways in SCLC can significantly enhance the phagocytosis of macrophages. This study provides a comprehensive overview of the cancer-specific immune signature of monocytes and macrophages and reveals tumor-associated biomarkers as potential therapeutic targets for SCLC.

Monocyte anisocytosis corresponds with increasing severity of COVID-19 in children.

Although SARS-CoV-2 infection can lead to severe COVID-19 in children, the role of biomarkers for assessing the risk of progression to severe disease is not well established in the pediatric population. Given the differences in monocyte signatures associated with worsening COVID-19 in adults, we aimed to determine whether monocyte anisocytosis early in the infectious course would correspond with increasing severity of COVID-19 in children. We performed a multicenter retrospective study of 215 children with SARS-CoV-2 infection, Multisystem Inflammatory Syndrome in Children (MIS-C), convalescent COVID-19, and healthy age-matched controls to determine whether monocyte anisocytosis, quantified by monocyte distribution width (MDW) on complete blood count, was associated with increasing severity of COVID-19. We performed exploratory analyses to identify other hematologic parameters in the inflammatory signature of pediatric SARS-CoV-2 infection and determine the most effective combination of markers for assessing COVID-19 severity in children. Monocyte anisocytosis increases with COVID-19 severity and need for hospitalization. Although other inflammatory markers such as lymphocyte count, neutrophil/lymphocyte ratio, C-reactive protein, and cytokines correlate with disease severity, these parameters were not as sensitive as MDW for identifying severe disease in children. An MDW threshold of 23 offers a sensitive marker for severe pediatric COVID-19, with improved accuracy when assessed in combination with other hematologic parameters. Monocyte anisocytosis corresponds with shifting hematologic profiles and inflammatory markers in children with COVID-19, and MDW serves as a clinically accessible biomarker for severe COVID-19 in children.

Bulk and single-cell RNA-sequencing analyses along with abundant machine learning methods identify a novel monocyte signature in SKCM.

Global patterns of immune cell communications in the immune microenvironment of skin cutaneous melanoma (SKCM) haven't been well understood. Here we recognized signaling roles of immune cell populations and main contributive signals. We explored how multiple immune cells and signal paths coordinate with each other and established a prognosis signature based on the key specific biomarkers with cellular communication. The single-cell RNA sequencing (scRNA-seq) dataset was downloaded from the Gene Expression Omnibus (GEO) database, in which various immune cells were extracted and re-annotated according to cell markers defined in the original study to identify their specific signs. We computed immune-cell communication networks by calculating the linking number or summarizing the communication probability to visualize the cross-talk tendency in different immune cells. Combining abundant analyses of communication networks and identifications of communication modes, all networks were quantitatively characterized and compared. Based on the bulk RNA sequencing data, we trained specific markers of hub communication cells through integration programs of machine learning to develop new immune-related prognostic combinations. An eight-gene monocyte-related signature (MRS) has been built, confirmed as an independent risk factor for disease-specific survival (DSS). MRS has great predictive values in progression free survival (PFS) and possesses better accuracy than traditional clinical variables and molecular features. The low-risk group has better immune functions, infiltrated with more lymphocytes and M1 macrophages, with higher expressions of HLA, immune checkpoints, chemokines and costimulatory molecules. The pathway analysis based on seven databases confirms the biological uniqueness of the two risk groups. Additionally, the regulon activity profiles of 18 transcription factors highlight possible differential regulatory patterns between the two risk groups, suggesting epigenetic event-driven transcriptional networks may be an important distinction. MRS has been identified as a powerful tool to benefit SKCM patients. Moreover, the IFITM3 gene has been identified as the key gene, validated to express highly at the protein level via the immunohistochemical assay in SKCM. MRS is accurate and specific in evaluating SKCM patients' clinical outcomes. IFITM3 is a potential biomarker. Moreover, they are promising to improve the prognosis of SKCM patients.

Immune checkpoint VISTA regulates DNA sensing and repair pathways that contribute to type I interferon (IFN-I) production in the skin

Abstract Skin sterile injury by ultraviolet (UV) light stimulates production of type I interferons. While in healthy skin IFN-I response to UV returns to baseline over time, the IFN-I signature persists in photosensitive diseases like lupus. The pathways that downregulate IFN-I production in healthy skin, and fail to do so in lupus skin, are unknown. Previous studies showing that activating VISTA suppresses the IFN-I signature in monocytes suggest a role for this immune checkpoint in the regulation of the IFN-I response. Indeed, we showed that the skin IFN-I signature is elevated in mice globally deficient in VISTA (Vsir−/−), as well as in mice with a conditional deletion of VISTA in keratinocytes. Having confirmed its expression in keratinocytes, we tested if VISTA regulates UV-triggered IFN-I production in the skin. Expression analysis of IFN-I stimulated genes in skin biopsies collected prior to and 3h after a single dose of UVB, revealed ~10-fold higher IFN-I score in Vsir−/− vs. B6 skin after UV. RNAseq studies showed DNA sensors, ZBP1, cGAS, and IFI204 were upregulated, while nucleotide excision repair genes, Polɛ and DNA Ligase1, were suppressed in Vsir−/− skin, both at baseline and 3h after UV. Moreover, Polɛ protein levels were lower in Vsir−/− skin by immunoblot. Relevant to its role in keratinocytes, IFN-k protein levels were higher in VISTA-deficient epidermal keratinocytes ex vivo, accompanied by elevated mRNA levels of ZBP1 and IFI204 before and after UV. Together, this study identifies VISTA as a novel regulator of IFN-I production, by modulating DNA damage repair and sensing. The keratinocyte-intrinsic role of VISTA is therapeutically relevant as lupus keratinocytes express high IFN-k and are direct targets of UV-induced DNA damage. 1R21AR079661 – 01, Hitchcock Foundation, DOD lupus award

Restoration of aberrant gene expression of monocytes in systemic lupus erythematosus via a combined transcriptome-reversal and network-based drug repurposing strategy

BackgroundMonocytes -key regulators of the innate immune response- are actively involved in the pathogenesis of systemic lupus erythematosus (SLE). We sought to identify novel compounds that might serve as monocyte-directed targeted therapies in SLE.ResultsWe performed mRNA sequencing in monocytes from 15 patients with active SLE and 10 healthy individuals. Disease activity was assessed with the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2 K). Leveraging the drug repurposing platforms iLINCS, CLUE and L1000CDS2, we identified perturbagens capable of reversing the SLE monocyte signature. We identified transcription factors and microRNAs (miRNAs) that regulate the transcriptome of SLE monocytes, using the TRRUST and miRWalk databases, respectively. A gene regulatory network, integrating implicated transcription factors and miRNAs was constructed, and drugs targeting central components of the network were retrieved from the DGIDb database. Inhibitors of the NF-κB pathway, compounds targeting the heat shock protein 90 (HSP90), as well as a small molecule disrupting the Pim-1/NFATc1/NLRP3 signaling axis were predicted to efficiently counteract the aberrant monocyte gene signature in SLE. An additional analysis was conducted, to enhance the specificity of our drug repurposing approach on monocytes, using the iLINCS, CLUE and L1000CDS2 platforms on publicly available datasets from circulating B-lymphocytes, CD4+ and CD8+ T-cells, derived from SLE patients. Through this approach we identified, small molecule compounds, that could potentially affect more selectively the transcriptome of SLE monocytes, such as, certain NF-κB pathway inhibitors, Pim-1 and SYK kinase inhibitors. Furthermore, according to our network-based drug repurposing approach, an IL-12/23 inhibitor and an EGFR inhibitor may represent potential drug candidates in SLE.ConclusionsApplication of two independent - a transcriptome-reversal and a network-based -drug repurposing strategies uncovered novel agents that might remedy transcriptional disturbances of monocytes in SLE.

Sex-specific differences in cytokine signaling pathways in circulating monocytes of cardiovascular disease patients

Background and aimsThis study aims to identify sex-specific transcriptional differences and signaling pathways in circulating monocytes contributing to cardiovascular disease. Methods and resultsWe generated sex-biased gene expression signatures by comparing male versus female monocytes of coronary artery disease (CAD) patients (n = 450) from the Center for Translational Molecular Medicine–Circulating Cells Cohort. Gene set enrichment analysis demonstrated that monocytes from female CAD patients carry stronger chemotaxis and migratory signature than those from males. We then inferred cytokine signaling activities based on CytoSig database of 51 cytokine and growth factor regulation profiles. Monocytes from females feature a higher activation level of EGF, IFN1, VEGF, GM-CSF, and CD40L pathways, whereas IL-4, INS, and HMGB1 signaling was seen to be more activated in males. These sex differences were not observed in healthy subjects, as shown for an independent monocyte cohort of healthy subjects (GSE56034, n = 485). More pronounced GM-CSF signaling in monocytes of female CAD patients was confirmed by the significant enrichment of GM–CSF–activated monocyte signature in females. As we show these effects were not due to increased plasma levels of the corresponding ligands, sex-intrinsic differences in monocyte signaling regulation are suggested. Consistently, regulatory network analysis revealed jun-B as a shared transcription factor activated in all female-specific pathways except IFN1 but suppressed in male-activated IL-4. ConclusionsWe observed overt CAD-specific sex differences in monocyte transcriptional profiles and cytokine- or growth factor-induced responses, which provide insights into underlying mechanisms of sex differences in CVD.

Monocyte signature as a predictor of chronic lung disease in the preterm infant.

Inflammation is a key driver of morbidity in the vulnerable preterm infant exposed to pre- and postnatal hazards and significantly contributes to chronic lung disease, i.e. bronchopulmonary dysplasia (BPD). However, the early changes in innate immunity associated with BPD development are incompletely understood. In very immature preterm infants below 32 weeks gestational age (GA; n=30 infants), monocyte subtypes were identified by Flow Cytometry at birth and throughout the postnatal course including intracellular TNF expression upon LPS stimulation. Complementing these measurements, cytokine end growth factor expression profiles (Luminex® xMAP®; n=110 infants) as well as gene expression profiles (CodeLinkTM Human I Bioarray; n=22) were characterized at birth. The abundance of monocyte subtypes differed between preterm and term neonates at birth. Specifically, CD14++CD16+ (intermediate) monocytes demonstrated a dependency on PMA and elevated levels of nonclassical (CD14+CD16++) monocytes characterized preterm infants with developing BPD. Postnatally, lung injury was associated with an increase in intermediate monocytes, while high levels of nonclassical monocytes persisted. Both subtypes were revealed as the main source of intracellular TNF-α expression in the preterm infant. We identified a cytokine and growth factor expression profile in cord blood specimen of preterm infants with developing BPD that corresponded to the disease-dependent regulation of monocyte abundances. Multivariate modeling of protein profiles revealed FGF2, sIL-2 Rα, MCP-1, MIP1a, and TNF-α as predictors of BPD when considering GA. Transcriptome analysis demonstrated genes predicting BPD to be overrepresented in inflammatory pathways with increased disease severity characterized by the regulation of immune and defense response pathways and upstream regulator analysis confirmed TNF-α, interleukin (IL) -6, and interferon α as the highest activated cytokines in more severe disease. Whereas all BPD cases showed downstream activation of chemotaxis and activation of inflammatory response pathways, more severe cases were characterized by an additional activation of reactive oxygen species (ROS) synthesis. In the present study, we identified the early postnatal presence of nonclassical (CD14+CD16++) and intermediate (CD14++CD16+) monocytes as a critical characteristic of BPD development including a specific response pattern of monocyte subtypes to lung injury. Pathophysiological insight was provided by the protein and transcriptome signature identified at birth, centered around monocyte and corresponding granulocyte activation and highlighting TNFα as a critical regulator in infants with developing BPD. The disease severity-dependent expression patterns could inform future diagnostic and treatment strategies targeting the monocytic cell and its progeny.

Mosaic loss of Y chromosome in monocytes is associated with lower survival after transcatheter aortic valve replacement.

Mosaic loss of Y chromosome (LOY) in blood cells is the most common acquired mutation, increases with age, and is related to cardiovascular disease. Loss of Y chromosome induces cardiac fibrosis in murine experiments mimicking the consequences of aortic valve stenosis, the prototypical age-related disease. Cardiac fibrosis is the major determinant of mortality even after transcatheter aortic valve replacement (TAVR). It was hypothesized that LOY affects long-term outcome in men undergoing TAVR. Using digital PCR in DNA of peripheral blood cells, LOY (Y/X ratio) was assessed by targeting a 6 bp sequence difference between AMELX and AMELY genes using TaqMan. The genetic signature of monocytes lacking the Y chromosome was deciphered by scRNAseq. In 362 men with advanced aortic valve stenosis undergoing successful TAVR, LOY ranged from -4% to 83.4%, and was >10% in 48% of patients. Three-year mortality increased with LOY. Receiver operating characteristic (ROC) curve analysis revealed an optimal cut-off of LOY >17% to predict mortality. In multivariate analysis, LOY remained a significant (P < 0.001) independent predictor of death during follow-up. scRNAseq disclosed a pro-fibrotic gene signature with LOY monocytes displaying increased expression of transforming growth factor (TGF) β-associated signaling, while expression of TGFβ-inhibiting pathways was down-regulated. This is the first study to demonstrate that LOY in blood cells is associated with profoundly impaired long-term survival even after successful TAVR. Mechanistically, the pro-fibrotic gene signature sensitizing the patient-derived circulating LOY monocytes for the TGFβ signaling pathways supports a prominent role of cardiac fibrosis in contributing to the effects of LOY observed in men undergoing TAVR.

Monocyte migration profiles define disease severity in acute COVID-19 and unique features of long COVID.

COVID-19 is associated with a dysregulated immune response but it is unclear how immune dysfunction contributes to the chronic morbidity persisting in many COVID-19 patients during convalescence (long COVID). We assessed phenotypical and functional changes of monocytes in COVID-19 patients during hospitalisation and up to 9 months of convalescence following COVID-19, respiratory syncytial virus or influenza A. Patients with progressive fibrosing interstitial lung disease were included as a positive control for severe, ongoing lung injury. Monocyte alterations in acute COVID-19 patients included aberrant expression of leukocyte migration molecules, continuing into convalescence (n=142) and corresponding with specific symptoms of long COVID. Long COVID patients with unresolved lung injury, indicated by sustained shortness of breath and abnormal chest radiology, were defined by high monocyte expression of C-X-C motif chemokine receptor 6 (CXCR6) (p<0.0001) and adhesion molecule P-selectin glycoprotein ligand 1 (p<0.01), alongside preferential migration of monocytes towards the CXCR6 ligand C-X-C motif chemokine ligand 16 (CXCL16) (p<0.05), which is abundantly expressed in the lung. Monocyte CXCR6 and lung CXCL16 were heightened in patients with progressive fibrosing interstitial lung disease (p<0.001), confirming a role for the CXCR6-CXCL16 axis in ongoing lung injury. Conversely, monocytes from long COVID patients with ongoing fatigue exhibited a sustained reduction of the prostaglandin-generating enzyme cyclooxygenase 2 (p<0.01) and CXCR2 expression (p<0.05). These monocyte changes were not present in respiratory syncytial virus or influenza A convalescence. Our data define unique monocyte signatures that define subgroups of long COVID patients, indicating a key role for monocyte migration in COVID-19 pathophysiology. Targeting these pathways may provide novel therapeutic opportunities in COVID-19 patients with persistent morbidity.

Distinct gene signatures of monocytes and B cells in patients with giant cell arteritis: a longitudinal transcriptome analysis

BackgroundGiant cell arteritis (GCA) is a primary large-vessel vasculitis (LVV) of unknown origin. Its management is a challenge due to the late onset of disease symptoms and frequent relapse; therefore, clarifying the pathophysiology of GCA is essential to improving treatment. This study aimed to identify the transition of molecular signatures in immune cells relevant to GCA pathogenesis by analyzing longitudinal transcriptome data in patients.MethodsWe analyzed the whole blood transcriptome of treatment-naive patients with GCA, patients with Takayasu arteritis (TAK), age-matched, old healthy controls (HCs), and young HCs. Characteristic genes for GCA were identified, and the longitudinal transition of those genes was analyzed using cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT).ResultsRepeated measures analysis of variance revealed 739 differentially expressed genes among all patients and HCs. Of the 739 genes, 15 were characteristically upregulated and 36 were downregulated in patients with GCA compared to those with TAK and HCs. Pathway enrichment analysis showed that downregulated genes in GCA were associated with B cell activation. CIBERSORT analysis revealed that upregulation of “M0-macrophages” and downregulation of B cells were characteristic of GCA. Upregulation of “M0-macrophages” reflects the activation of monocytes in GCA toward M0-like phenotypes, which persisted under 6 weeks of treatment. Combined treatment with prednisolone and an interleukin-6 receptor antagonist normalized molecular profiles more efficiently than prednisolone monotherapy.ConclusionsGene signatures of monocyte activation and B cell inactivation were characteristic of GCA and associated with treatment response.

Investigating Gene Expression Signatures and Cell-Type Composition Changes in Sickle Cell Disease Using Whole Blood Transcriptomics

Background: Sickle cell disease (SCD) is a devastating Mendelian disease affecting millions of people worldwide. Although SCD is caused by a single-point mutation (Glu6Val) in the β-globin chain of hemoglobin, the clinical manifestations are heterogeneous and systemic, impacting the functions of multiple organs and leading to early mortality. Predicting disease severity and identifying the molecular mechanisms underlying disease pathology and progression remain a challenge. Objective: The goal of this work was to characterize the clinical heterogeneity associated with SCD using transcriptomics. Methods: We integrated publicly available bulk and single-cell RNA sequencing (scRNA-seq) data sets that included samples from pediatric to young adult patients and contained clinical phenotypes to identify molecular signatures of SCD severity and heterogeneity (Table). Our integrative transcriptomics analyses included the following: Identify cell-type clusters and derive novel progenitor signatures from an integrative analysis of the 2 independent scRNA-seq data sets capturing CD34+-enriched or unselected bone marrow (BM) cells from SCD and control samples.Calculate the relative proportions of cell types in whole blood by deconvolution using both the scRNA-seq-derived novel cell-type signatures (dtangle) and publicly available immune cell-type signatures (xCell, EPIC, quanTIseq).Identify signatures (genes, pathways, cell types) associated with disease severity and hemoglobin genotypes using various bioinformatics approaches, including differential gene expression and single-sample Gene Set Enrichment Analysis, among others, and examine relationships of enriched cell types and pathways (queried from MSigDB) in discovery followed by confirmation in validation data sets. Results: Cell-type clusters and gene signatures were generated by combining and integrating scRNA-seq data sets from BM SCD and control samples (Table). Using our fine-mapped cell-type clusters, we found an erythroid progenitor subclass to be depleted, whereas a lymphoid progenitor subclass expanded in SCD BM samples, increasing granularity of the cell types reported by Hua et al. Cell-type deconvolution of bulk transcriptome data using the combined scRNA-seq-derived signatures revealed enriched monocyte relative proportions in acute crisis compared with steady-state SCD samples (β=0.01, P=1.13×10−7) and enriched erythroblast relative proportions in SCD compared with control samples (β=0.02, P=1.10×10−12). Deconvolution using publicly available immune cell signatures showed significant enrichment of neutrophil and macrophage signatures in acute SCD samples (Padj<0.1). Analysis of bulk RNA-seq data indicated a set of highly correlated genes differentially expressed in steady-state SCD and associated with varied pathways, including red blood cell (RBC) morphology, hematopoiesis, anemia, and cholelithiasis. Higher pathway scores were seen in severe (HbSS) genotype samples than in milder (HbSC) genotype samples, consistent with known disease pathology and severity (Figure). Building on results from integrative analyses, we found that interferon and inflammatory response genes were enriched in acute SCD in both discovery and validation data sets. We found significant correlations between monocyte relative proportions and interferon signaling pathway scores, and between erythroblast relative proportions and the pathway scores affecting RBC production, morphology, and pathology and potential SCD comorbidities such as cholelithiasis (Figure). Conclusions: Our integrative scRNA-seq analysis led to robust cell cluster identification to improve deconvolution analysis of bulk transcriptomics data. We found elevated interferon and inflammatory pathway activity in acute SCD samples, consistent with findings in the literature (PMIDs: 34166491, 32764656). Furthermore, we found enriched neutrophils and monocyte signatures in acute SCD, suggesting their role in mediating the innate immune response. These findings provide motivation to characterize the role of neutrophils and monocytes in acute SCD crises. Our integrative transcriptomics analyses showed defective RBC production and maturation in SCD. Using the signatures from this work, we aim to elucidate the heterogeneity within SCD pathophysiology. Funding: Global Blood Therapeutics. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

TMIC-68. EVALUATING FLASH AND CONVENTIONAL DOSE-RATE RADIATION AND IMMUNE RESPONSE WITH SINGLE-CELL SEQUENCING IN DIFFUSE MIDLINE GLIOMA (DMG)

Abstract Diffuse Midline Glioma – H3K27M mutant (DMG), is a fatal and inoperable pediatric brain tumor with limited treatment options as radiation provides only temporary reprieve, leaving the median survival between 9-15 months. Conventional dose-rate radiation (2Gray/minute, CONV) has been shown in other cancers to recruit an immune component, however, this has not been studied in DMG. Ultra-high dose-rate radiation given at 90 Gray/second (FLASH), is a novel technique associated with decreased toxicity and effective tumor control. Using a syngeneic model of brainstem DMG, we performed single-cell RNA sequencing on CD45+ immune cells isolated from tumors irradiated with 15Gray using FLASH or CONV, and compared to unirradiated tumor and normal brainstem. Isolation of 33,308 immune cells revealed 17 unique clusters, most abundant of which was microglia (73.8%), present in four distinct subtypes representing a spectrum from homeostatic to activated. In the most activated microglia, both FLASH and CONV showed an enrichment in type 1 interferon (IFN1) pathway scores compared to untreated tumors (p&amp;lt; 0.001 and p&amp;lt; 0.001, respectively). The most differential response was found in macrophages (MAC) and dendritic cells (DC) with a robust enrichment of IFN1 pathway scores for CONV compared to FLASH (p&amp;lt; 0.001, MAC and p&amp;lt; 0.001 DC). FLASH showed an increase in anti-inflammatory MAC markers such as Mrc1, Cd163, and Maf and an enrichment of myeloid-derived suppressor cell (MDSC) signature in monocytes, not seen in CONV (p&amp;lt; 0.001). Finally, we correlated our data with publicly available single-cell data taken from the cerebrospinal fluid of DMG patients treated with anti-GD2 CAR T Cell therapy and found similar inflammatory markers characteristic of our unirradiated murine tumors. In summary, our work is the first to study immune alterations comparing different dose-rates of radiation with single-cell resolution in DMG, highlighting the potential for combining radiation and immunotherapy in these tumors.

Science, Medicine, and the Anesthesiologist

Science, Medicine, and the Anesthesiologist