Macrophage Subtypes Research Articles

A simple self-assembly nanomicelle based on brain tumor-targeting peptide-mediated siRNA delivery for glioma immunotherapy via intranasal administration

The blood-brain barrier (BBB) has a key role in preventing drugs from entering the brain. Non-invasive intranasal drug delivery routes that bypass the BBB are increasing in popularity because of their ability to shorten the journey and reduce the loss of genetic drugs such as siRNA in transit. However, the complex synthesis and quality control process of most nose-to-brain delivery carriers and the limited mass production are the main obstacles to their clinical application. Here, we constructed a siRNA delivery system with simple synthesis and quality control methods using cholesterol-modified T7 (T7-C), in which T7 can bind to the transferrin receptor (TfR) expressed on glioma cells to target gliomas. In our results, T7-C had dual functions as a glioma-targeting carrier and immune adjuvant. As a targeted delivery carrier, T7-C intranasally delivered siRNA into the mouse brain through the olfactory bulb pathway and was taken up by glioma cells by the caveolin- and transferrin-dependent pathway. As an immune adjuvant, T7-C could promote DC maturation and combined with slit2 siRNA could promote polarization of M2 subtype macrophages to M1 subtype macrophages and then increase the proportion of effector T cells to remodel the tumor environment. In conclusion, T7-C with glioma targeting as a delivery system of slit2 siRNA showed a good therapeutic effect in the treatment of glioma after intranasal administration and had potential application prospects. Statement of significanceIn contrast to the existing literature that uses complex materials to deliver drugs across the blood-brain barrier (BBB) in an invasive manner for glioma treatment, we developed a simple, self-assembling siRNA delivery system (T7-C) based on brain tumor-targeted T7 peptide to treat glioma by intranasal administration. T7-C/siRNA could reach the tumor site through the olfactory bulb route and adjust the “cold” tumor microenvironment to the “hot” tumor microenvironment and non-invasive intranasal delivery route could shorten the journey and reduce the loss of genetic drugs.Therefore, our design has good application prospects and is expected to serve as a general strategy for intranasal drug delivery in the treatment of brain tumors.

Efferocytosis drives myeloid NLRP3 dependent inflammasome signaling secretion of IL-1β to promote tumor growth

Caspase-1 signaling in myeloid suppressor cells can promote T-cell independent cancer progression, but the regulation of inflammasome signaling within the highly heterogeneous myeloid population in the tumor milieu remains elusive. To resolve this complexity, single cell transcriptomic profile of Head and Neck Squamous Cell Carcinoma (HNSCC) identified distinct inflammasome-associated genes within specific clusters of tumor-infiltrating myeloid cells. Among these myeloid cells, the sensor protein, NLRP3, and downstream effector IL-1β transcripts were enriched in discreet monocytic and macrophage subtypes in the TME. We showed that deletion of NLRP3, but not AIM2, phenocopied caspase-1/IL-1β dependent tumor progression in vivo. Paradoxically, we found myeloid-intrinsic caspase-1 signaling increased myeloid survival contrary to what would be predicted from the canonical pyroptotic function of caspase-1. This myeloid NLRP3/IL-1β signaling axis promotion of tumor growth was found to be gasdermin D independent. Mechanistically, we found that phagocyte-mediated efferocytosis of dying tumor cells in the TME directly activated NLRP3-dependent inflammasome signaling to drive IL-1β secretion. Subsequently we showed that NLRP3-mediated IL-1β production drives tumor growth in vivo. Dynamic RNA velocity analysis showed a robust directional flow from efferocytosis gene-set high macrophages to an inflammasome gene-set high macrophage population. We provide a novel efferocytosis-dependent inflammasome signaling pathway which mediates homeostatic tumor cell apoptosis that characterizes chronic inflammation-induced malignancy.

Abstract 13237: Single Cell Transcriptomes Reveal Novel Macrophage and Endothelial Subtypes in Pulmonary Hypertension

Introduction: Animal models are widely used to study pulmonary hypertension and test experimental therapies. The detailed cellular phenotypes of these diverse models, and their relationship to human disease remain unclear. Hypothesis: This study aimed to assess several commonly used models and their correlations with human disease at single-cell resolution. Methods: Single-cell RNA sequencing was performed on lung tissues from mice exposed to chronic hypoxia or SU5416 with hypoxia, rats exposed to monocrotaline, and control animals. Immunofluorescence was used to validate the findings in animal and patient tissues. Results: Perturbed cell populations in diseased rats and mice were similar to those in patients, with macrophages and endothelial cells being primarily affected. A novel DHCR24 high macrophage population harboring tissue remodeling and pro-inflammatory features were consistently increased across rodent models, and whose phenotypic modulation corresponded with disease progression. Functionally diverse endothelial subtypes were found, including a novel ETB + endothelial population with potentially protective functions. These endothelial subtypes exhibited key motifs of pulmonary hypertension, including enhanced apoptosis, dysregulated angiogenesis, proliferation, and reactive oxygen species-mediated stress. These macrophage and endothelial subtypes exhibited dysregulation of numerous genes targeted by approved PAH drugs. Changes in these cell populations were confirmed by animal and patient lung histology. Potential intercellular interactions between macrophage and endothelial subtypes, via ANGPTL4, CXCL12, or SEMA3 signaling, and autocrine endothelial signaling were predicted to occur. Conclusions: We established a comprehensive single-cell atlas of the mainstream rodent pulmonary hypertension models, and highlighted potential functional roles of novel macrophage and endothelial subpopulations.

The neonatal Fc receptor expression during macrophage differentiation is related to autophagy.

The neonatal Fc receptor (FcRn) plays a central role in recycling and biodistributing immunoglobulin G. FcRn is also involved in many physiological immune functions as well as pathological immune responses in cancer or autoimmune diseases. Low levels of FcRn in tumor cells and the microenvironment is associated with poor prognosis in non-small cell lung cancers. Among cells that are present in the tumor microenvironment, macrophages express high levels of FcRn. Macrophages are involved in these pathophysiological contexts by their dual differentiation states of pro- or anti-inflammatory macrophages. However, variations in FcRn protein expression have not been described in macrophage subtypes. In this work, we studied FcRn expression in an in vitro model of pro- and anti-inflammatory macrophage differentiation. We demonstrated an inverse relation between FcRn protein and mRNA expression in macrophage populations. Autophagy, which is involved in protein degradation and acquisition of phagocytic function in macrophages, participated in regulating FcRn levels. Intravenous immunoglobulin protected FcRn against autophagosome degradation in anti-inflammatory macrophages. Our data demonstrate that autophagy participates in regulating FcRn expression in pro- and anti-inflammatory macrophages. This finding raises new questions concerning the regulation of FcRn in immune functions.

FLASH Modulation of Immune Microenvironment in Diffuse Midline Glioma (DMG) at Single-Cell Resolution

<h3>Purpose/Objective(s)</h3> Diffuse Midline Glioma with H3K27M mutation (DMG) is a universally fatal tumor primarily treated with radiotherapy (RT) and typically unresponsive to immune-based therapies. FLASH is a novel RT technique associated with decreased toxicity and effective tumor control in glioma models as well as immune-sparing properties in other cancer models. However, the effect of FLASH on the DMG tumor immune microenvironment (TIME) has not yet been explored. <h3>Materials/Methods</h3> Using a syngeneic murine brainstem DMG, we performed single-cell RNA sequencing on CD45+ cells isolated from tumors 4 days after posterior fossa irradiation (15Gy x 1, 9MeV), utilizing either ultra-high dose rate (90Gy/sec, FLASH) or conventional (2Gy/min, CONV) RT, and compared to unirradiated tumor (SHAM). For differential gene expression analysis, we compared CONV to SHAM (CvS) and FLASH to SHAM (FvS). We also performed single cell gene set enrichment scores (ssGSEA) for evaluation of immune signatures from gene ontology (GO); ssGSEA scores were deemed significant by a p<0.05 using Mann-Whitney U test. We validated our most robust immune markers with dual immunofluorescence. <h3>Results</h3> Unsupervised clustering of 23,165 CD45+ cells revealed 16 immune clusters, including subtypes of resident microglia (MG, 78.2% of total cells), lymphocytes (6.4%), macrophages (MPs, 5.2%), monocytes (1.8%), and dendritic cells (DCs, 1.7%). MG consisted of four distinct subtypes representing a spectrum of homeostatic to activated cellular states. In the most activated MG subtype, both CONV and FLASH showed an upregulation of interferon (IFN) genes such as Isg15 (Fold Change (FC) 1.03 CvS, 0.94 FvS) and Ifit3 (FC 0.77 CvS, 0.66 FvS) when compared to SHAM. Furthermore, ssGSEA of MG found IFN scores increased in both FvS (p < 0.0001) and CvS (p < 0.0001) while TGFbR signaling score was increased in FvS (p < 0.0001) and decreased in CvS (p < 0.0001). In non-resident myeloid clusters, the most differential response was found in MPs and DCs with robust upregulation of IFN genes for CvS (Isg15 FC 2.30 MPs, 2.67 DCs; Ifit3 FC 2.02 MPs, 2.06 DCs), while this response was not seen with FvS. This was confirmed with ssGSEA with increased IFN scores in both MPs (CvS p<0.0001, p=0.04) and DCs (CvS p<0.0001, FvS p=0.69). FLASH showed an increase in anti-inflammatory MP markers such as Mrc1, Cd163, and Maf (FC 1.40, 1.11, 1.19) and an upregulated myeloid-derived suppressor cell signature in monocytes (FvS, p < 0.0001), not seen in CvS (p = 0.09). <h3>Conclusion</h3> Our work is the first to map CONV and FLASH immune alterations with single-cell resolution in the DMG TIME. FLASH induces IFN differentially across microglia and non-resident myeloid subsets. Further exploration is warranted to understand how FLASH impacts tumor growth through differential cytokine signaling, inflammatory responses and immune checkpoint expression within the DMG TIME.

Single-cell transcriptomic, transcriptomic, and metabolomic characterization of human atherosclerosis

Atherosclerosis is the main cause of many cardiovascular and cerebrovascular diseases (CVDs), and gaining a deeper understanding of the intercellular connections and key central genes which mediate formation of atherosclerotic plaques is required. We performed a comprehensive bioinformatics analysis of differential genetic screening, Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway annotation, protein-protein interactions (PPIs), pseudo-timing, intercellular communication, transcription factors on carotid single-cell sequencing data, and aortic bulk transcriptome and metabolomic data. Ten cell types were identified in the data: T cells, monocytes, smooth muscle cells, endothelial cells, B cells, fibroblasts, plasma cells, mast cells, dendritic cells, and natural killer cells. Endothelial, fibroblast, macrophage, and smooth muscle cell subtype differentiation trajectories, interaction networks, and important transcription factors were characterized in detail. Finally, using this information combined with transcriptome and metabolome analyses, we found the key genes and signaling pathways of atherosclerosis, especially the advanced glycation end products and receptor for advanced glycation end products signaling pathway (AGE-RAGE signaling pathway) in diabetic complications, linked the differential metabolites with fibroblasts and atherosclerosis and contributed to it in patients with diabetes. Collectively, this study provides key genes, signaling pathways, cellular communication, and transcription factors among endothelial cells, fibroblasts, macrophages, and smooth muscle cells for the study of atherosclerotic plaques, and provides a basis for the diagnosis and treatment of atherosclerosis-like sclerosis.

Identification of The Unique Subtype of Macrophages in Aneurysm Lesions at the Growth Phase

ObjectivesRecent experimental studies have defined intracranial aneurysms as a macrophage-mediated chronic inflammatory disease affecting intracranial arteries. Although there are various subtypes in macrophages, what type of macrophages is present in lesions during the disease development remains to be elucidated. MethodsThe previously-established aneurysm model of rats was used. Macrophages were labeled with the fluorescent protein and isolated by a laser-microdissection method. The comprehensive gene expression profile analyses and gene ontology analyses was then done to identify a macrophage subtype present in lesions at the growth phase. ResultsThe gene expression profile data of total 52 macrophages infiltrating into the lesions was acquired. The principal component analysis revealed the monotonous macrophage subtype. By comparing the profile identified with one from in vitro-differentiated M0 or M1 macrophages, the macrophages in the lesions were belonged to the simple and unique subtype. Because the perception of signaling from nervous system was highlighted as up-represented terms through gene ontology analyses, the macrophage subtype in lesions at the growth phase might be differentiated under the influence of nervous system in the microenvironment. The histopathological examinations supported the above notion by confirming the presence of nerves in the adventitia. ConclusionsThe findings from the present study have provided the useful insights about the macrophage subtype in aneurysm lesions at the growth phase and also proposed its ability as a therapeutic target.

The role of cluster of differentiation 163-positive macrophages in wound healing: a preliminary study and a systematic review.

This is a literature assessment of essential information and current knowledge that pertains to the potential role for cluster of differentiation (CD) 163+ macrophages in different wound healing models, including extremely rapid tissue regeneration for regenerative medicine purposes. We intend to focus on the beneficial strategies that activate macrophage performance in order to advance the CD163+ macrophage-based therapy approaches to accelerate wound healing. We conducted an extensive literature search of peer reviewed articles obtained from the PubMed, Google Scholar, Scopus, Web of Science, and Cochrane databases by using the keywords "wound healing, CD163+ macrophages, diabetes mellitus, and burn." There were no limitations in terms of publication date. Our search resulted in 300 papers from which 17 articles were screened according to the inclusion criteria. We divided the selected articles into four distinct groups: healthy humans (n = 5); healthy animals (n = 7); humans with diabetes (n = 2); and animals with diabetes (n = 3). CD163 is a biomarker of the M2c macrophage subtype in mammals. Functions of M2c macrophages include angiogenesis, matrix maturation, and phagocytosis, and they activate prior to wounding. M2c produces many cytokines and growth factors, and also contains receptors for numerous cytokines and growth factors. Induction of M2c macrophages from tissue-resident macrophages in the wound bed by a suitable agent, such as delivery of intracellular ATP, appears to induce rapid granulation tissue formation without hypertrophic scarring and significantly reduces the lag time of the wound healing process.

Macrophage Phenotypes and Gene Expression Patterns Are Unique in Naturally Occurring Metabolically Healthy Obesity.

Obesity impacts 650 million individuals globally, often co-occurring with metabolic syndrome. Though many obese individuals experience metabolic abnormalities (metabolically unhealthy obese [MUO]), ~30% do not (metabolically healthy obese [MHO]). Conversely, >10% of lean individuals are metabolically unhealthy (MUL). To evaluate the physiologic drivers of these phenotypes, a 44-animal African green monkey cohort was selected using metabolic syndrome risk criteria to represent these four clinically defined health groups. Body composition imaging and subcutaneous adipose tissue (SQ AT) biopsies were collected. Differences in adipocyte size, macrophage subtype distribution, gene expression, vascularity and fibrosis were analyzed using digital immunohistopathology, unbiased RNA-seq, endothelial CD31, and Masson’s trichrome staining, respectively. MHO AT demonstrated significant increases in M2 macrophages (p = 0.02) and upregulation of fatty acid oxidation-related terms and transcripts, including FABP7 (p = 0.01). MUO AT demonstrated downregulation of these factors and co-occurring upregulation of immune responses. These changes occurred without differences in AT distributions, adipocyte size, AT endothelial cells, collagen I deposition, or circulating cytokine levels. Without unhealthy diet consumption, healthy obesity is defined by an increased SQ AT M2/M1 macrophage ratio and lipid handling gene expression. We highlight M2 macrophages and fatty acid oxidation as targets for improving metabolic health with obesity.

Macrophages in Tumor-Associated Adipose Microenvironment Accelerate Tumor Progression.

Adipose-tissue macrophages (ATMs), a complex ensemble of diverse macrophage subtypes, are prevalent in the tumor-adipose microenvironment (TAME) and facilitate tumor growth. However, the mechanisms in which the tumor-adipocyte crosstalk may enable the properties and plasticity of macrophages remain unclear. The single-cell RNA-sequence profiling reveals that a subset of macrophages expressed CD163, CCL2, and CCL5 in TAME, exhibiting an immunosuppressive subtype. It is demonstrated that CD163+ macrophages aggregate to surround adipocytes in breast cancer tissues. The expressions of CCL2 and CCL5 are also elevated in TAME and enable the recruitment and polarize macrophages. Mechanically, the level of exosomal miRNA-155 increased in the coculture of tumor cells and adipocytes, and then it promoted the generation and release of CCL2 and CCL5 from adipocytes by targeting the SOCS6/STAT3 pathway. Inhibition of exosomal miRNA-155 in tumor cells reduced the CCL2 and CCL5 levels in tumor-adipocytes coculture and further retarded tumor growth. Finally, the deletion of macrophages partially inhibited adipocyte-induced tumor proliferation. Likewise, inhibiting chemokines and their receptors or suppressing the phosphorylation of STAT3 decreased tumor burden in preclinical models. These results demonstrate that the niche factors in TAME, such as exosomal miRNA-155, regulate the function and polarity of macrophages to facilitate tumor progression.

An optimized flow cytometry panel for classifying macrophage polarization

Macrophages are scavenger cells and a fundamental part of innate and adaptive immune responses, and they are important in wound repair and tissue remodeling. The functions of macrophages include engulfing and killing invading pathogens, processing and presenting antigens, initiation of inflammation, secreting cytokines and other inflammatory mediators, and participating in the maintenance and repair of tissues. Based on functional differences and surface and intracellular marker expression, macrophages can be generally divided into either M1 (inflammatory) or M2 (wound healing); the M2 type can be further divided into M2a, M2b, M2c, and M2d. However, due to the time, effort, and cost of establishing a panel of markers that could thoroughly assess polarization, the characterization of types and subtypes is usually done using three markers or fewer. This can lead to problems, because the expression of some of the most widely used polarization markers can be altered by commonly used inflammatory or immunological stimuli. We have developed and optimized an eleven-color polychromatic flow cytometric assay for macrophage subtype identification that prevents mischaracterization due to stimulus-induced changes in individual markers by using partially redundant markers for which at least one is not substantially affected by a commonly used inflammatory stimulus (LPS). We polarized 3 × 105 RAW 264.7 cells, a mouse macrophage cell line, with IFN-γ (± LPS), IL-4 or IL-10 to derive M1, M2a, or M2c macrophage subtypes, respectively. The TNF-α concentration in cell supernatants was tested by ELISA to verify polarization. Then polarized cells were labeled with the following antibodies and assessed by flow cytometry to identify marker expression: F4/80, Arginase 1, TLR4, CD86, VEGF, CD14, CD206, MHC Class II, and TNF-α (surface and internal). Here we have identified clear distinctions between macrophage subtypes using these markers, and we anticipate that this panel will help disclose more details of the macrophage's role in the immune response and will save investigators the time and cost usually required to identify appropriate antibodies that do not interfere with each other or lead to difficult color compensation issues.

Single-cell RNA sequencing analysis dissected the osteo-immunology microenvironment and revealed key regulators in osteoporosis

Osteoporoticfractures become increasingly common in postmenopausal women over age 55 years and men after age 65 years, bringing about substantial bone-associated morbidities, and augmented mortality and health-care costs. Advanced researches have led to a more accurate assessment of osteoporosis (OP) and have broadened the range of therapeutic approaches available to prevent osteoporotic fractures. Single-cell RNA sequencing (scRNA-seq) analysis is an evolutionary method that quantifies the majority of transcripts in individual cells at isoform resolution, paving the way for more detailed analyses of gene regulation in biology and medicine. We have extracted 19,102 cells and 4097 dynamical genes with significant expression changes. Several new subtypes of macrophages and differentially over-expressed genes were discovered in the trajectory of osteoclasts formation. The zinc finger protein 36, C3H type-like 1 (ZFP36L1) and defensin alpha 3 (DEFA3) were identified as novel bone metabolism-related genes. RETN-CAP1 was newly found to be involved in the interaction between osteoclasts and immunocytes, indicating that osteo-immunology microenvironment substantially contributed to the pathology of osteoporosis or osteopenia. In this research, we have performed Single-cell RNA sequencing analysis to display the trajectory of osteoclast formation and reveal the possible gene targets and signaling pathways that probably play an important role in osteoporosis.

Sex difference in innate inflammatory response and macrophage polarization in Streptococcus agalactiae-induced pneumonia and potential role of microRNA-223-3p

While number of studies have shown that biological sex is a risk factor in the incidence and severity of infection-induced inflammatory diseases, the underlying mechanisms are still poorly understood. In this study, we compared the innate inflammatory response in male and female mice with group B streptococcal (GBS)-induced pneumoniae. Although male and female mice displayed similar bacterial burdens, males exhibited more innate inflammatory cytokines and chemokines and a higher proportion of infiltrating monocytes/macrophages. The analysis of the distribution of macrophage subtypes M1 (pro-inflammatory) versus M2 (anti-inflammatory) yielded a higher M1/M2 ratio in infected males compared with females. Given the importance of the chromosome X-linked microRNA-223-3p (miR-223-3p) in modulating the inflammatory process and macrophage polarization, we investigated its potential contribution in sex bias of GBS-induced innate inflammatory response. Knock-down of miR-223-3p with specific antagomiR resulted in increased inflammatory response and higher M1/M2 ratio following GBS infection. Notably, compared to male mice, we detected higher amount of miR-223-3p in macrophages from females that correlated negatively with M1 phenotype. These results suggest that differential expression of miR-233-3p may impact macrophage polarization, thereby contributing to fine-tune sex differences in inflammatory response.

Significance of macrophage infiltration in the prognosis of lung adenocarcinoma patients evaluated by scRNA and bulkRNA analysis.

PurposeTo investigate the significance of macrophage infiltration to the prognosis of lung adenocarcinoma.MethodsR language bioinformatics analysis technology, was used to obtain macrophage infiltration-related module genes through WGCNA (Weighted Gene Co-Expression Network Analysis). Marker genes of macrophage subtypes were identified using single-cell sequencing of lung adenocarcinoma tissue. Risk score models were constructed and validated using external data cohorts and clinical samples.ResultsAnalysis of cohorts TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094 and GSE8894, revealed a negative correlation between macrophage infiltration and survival. Immunohistochemical analyses of clinical samples were consistent with these data. Based on cell-cluster-markers and TAMs-related-genes, TOP8 genes were obtained (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, and TK1) with a significant association to prognosis. Risk score models including 9 factors (C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65) for prognosis were constructed. The efficacy, stability and generalizability of the risk score models were validated using multiple data cohorts (GSE19188, GSE26939, GSE31210, GSE50081, GSE42127, and GSE72094).ConclusionsMacrophage infiltration negatively correlates with prognosis in patients with lung adenocarcinoma. Based on cell-cluster-markers and TAMs-related-genes, both TOP8 genes (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, TK1) and risk score models using C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65 could predict disease prognosis.

Inhibition of angiogenetic macrophages reduces disc degeneration-associated pain.

Abnormal angiogenesis and innervation in avascular discs during lumbar disc degeneration (LDD) cause severe back pain. These pathological alterations in the degenerating discs are induced by cytokines partially produced and secreted by inflammatory cells, among which macrophages are the most frequently ones detected at the legion site. However, the role of macrophages as well as their polarization in regulation of innervation and angiogenesis in the degenerating discs is unclear. In this study, we analyzed macrophages in the degenerating discs from patients and detected a specific macrophage subtype that expresses high levels of vascular endothelial growth factor A (VEGF-A). Co-expression of M2 macrophage markers in this macrophage subtype suggested that they were a M2d-like subtype. High levels of VEGF-A and genes associated with angiogenesis were also detected in LDD specimens compared to control heathy discs from a public database, consistent with our finding. Moreover, the levels of VEGF-A in disc macrophages were strongly correlated to the pain score of the examined patients, but not to the Thompson classification of the degeneration level of the patients. In vitro, overexpressing VEGF-A in macrophages increased the tube formation, proliferation and migration of co-cultured endothelial cells, and increased the innervation of embryonic spinal cord explant into the co-cultured area for macrophages and skeletal myocytes. In vivo, an orthotopic injection of adeno-associated virus carrying siRNA for VEGF-A under a macrophage-specific CD68 promoter significantly reduced the number of VEGF-A-positive disc macrophages and alleviated the pain in LDD-mice. Together, these data suggest that inhibition of angiogenetic potential of macrophages may reduce disc degeneration-associated pain through suppression of angiogenesis and innervation, as a promising therapy for LDD-associated pain.

A Novel MIP-1-Expressing Macrophage Subtype in BAL Fluid from Healthy Volunteers.

Tissue availability remains an important limitation of single-cell genomic technologies for investigating cellular heterogeneity in human health and disease. BAL represents a minimally invasive approach to assessing an individual's lung cellular environment for diagnosis and research. However, the lack of high-quality, healthy lung reference data is a major obstacle to using single-cell approaches to study a plethora of lung diseases. Here, we performed single-cell RNA sequencing on over 40,000 cells isolated from the BAL of four healthy volunteers. Of the six cell types or lineages we identified, macrophages were consistently the most numerous across individuals. Our analysis confirmed the expression of marker genes defining cell types despite background signals because of the ambient RNA found in many single-cell studies. We assessed the variability of gene expression across macrophages and defined a distinct subpopulation of cells expressing a set of genes associated with Macrophage Inflammatory Protein 1 (MIP-1). RNA in situ hybridization and reanalysis of published lung single-cell data validated the presence of this macrophage subpopulation. Thus, our study characterizes lung macrophage heterogeneity in healthy individuals and provides a valuable resource for future studies to understand the lung environment in health and disease.

Innate immune checkpoint inhibitor resistance is associated with melanoma sub-types exhibiting invasive and de-differentiated gene expression signatures.

Melanoma is a highly aggressive skin cancer, which, although highly immunogenic, frequently escapes the body’s immune defences. Immune checkpoint inhibitors (ICI), such as anti-PD1, anti-PDL1, and anti-CTLA4 antibodies lead to reactivation of immune pathways, promoting rejection of melanoma. However, the benefits of ICI therapy remain limited to a relatively small proportion of patients who do not exhibit ICI resistance. Moreover, the precise mechanisms underlying innate and acquired ICI resistance remain unclear. Here, we have investigated differences in melanoma tissues in responder and non-responder patients to anti-PD1 therapy in terms of tumour and immune cell gene-associated signatures. We performed multi-omics investigations on melanoma tumour tissues, which were collected from patients before starting treatment with anti-PD1 immune checkpoint inhibitors. Patients were subsequently categorized into responders and non-responders to anti-PD1 therapy based on RECIST criteria. Multi-omics analyses included RNA-Seq and NanoString analysis. From RNA-Seq data we carried out HLA phenotyping as well as gene enrichment analysis, pathway enrichment analysis and immune cell deconvolution studies. Consistent with previous studies, our data showed that responders to anti-PD1 therapy had higher immune scores (median immune score for responders = 0.1335, median immune score for non-responders = 0.05426, p-value = 0.01, Mann-Whitney U two-tailed exact test) compared to the non-responders. Responder melanomas were more highly enriched with a combination of CD8+ T cells, dendritic cells (p-value = 0.03) and an M1 subtype of macrophages (p-value = 0.001). In addition, melanomas from responder patients exhibited a more differentiated gene expression pattern, with high proliferative- and low invasive-associated gene expression signatures, whereas tumours from non-responders exhibited high invasive- and frequently neural crest-like cell type gene expression signatures. Our findings suggest that non-responder melanomas to anti-PD1 therapy exhibit a de-differentiated gene expression signature, associated with poorer immune cell infiltration, which establishes a gene expression pattern characteristic of innate resistance to anti-PD1 therapy. Improved understanding of tumour-intrinsic gene expression patterns associated with response to anti-PD1 therapy will help to identify predictive biomarkers of ICI response and may help to identify new targets for anticancer treatment, especially with a capacity to function as adjuvants to improve ICI outcomes.

Sedentary Behaviour Impairs Skeletal Muscle Repair Modulating the Inflammatory Response.

This study investigated whether sedentary behaviour modulates skeletal-muscle repair and tissue inflammatory response after cardiotoxin (CTX)-induced injury. Singly caged rats spent 8 weeks either as a sedentary group (SED, n = 15) or as a control group (EX, n = 15)—caged with running wheels for voluntary running. All rats had each tibial anterior muscle infused either with CTX (CTX; right muscle) or saline solution (Sham; left muscle) and were sacrificed (n = 5 per group) on the 1st, 7th, and 15th day post-injection (dpi). Histological and immunohistochemical analyses were used to calculate myotube percentage and fibrosis accretion, and quantify the number of neutrophils and M1 and M2 macrophage subtypes. The SED group showed an increased number of both neutrophils and M1 macrophages (7th and 15th dpi) compared to the EX group (p < 0.01). The EX group showed an increased number of M2 macrophages on the 1st dpi. On the 7th dpi, the SED group showed a lower myotube percentage compared to the EX group (p < 0.01) and on the 15th dpi showed only 54% of normal undamaged fibres compared to 90% from the EX group (p < 0.01). The SED group showed increased fibrosis on both the 7th and 15th dpi. Our results show that sedentary behaviour affects the inflammatory response, enhancing and prolonging the Th1 phase, and delays and impairs the SMR process.

Macrophage-Mediated Inflammation in Skin Wound Healing.

Macrophages are key immune cells that respond to infections, and modulate pathophysiological conditions such as wound healing. By possessing phagocytic activities and through the secretion of cytokines and growth factors, macrophages are pivotal orchestrators of inflammation, fibrosis, and wound repair. Macrophages orchestrate the process of wound healing through the transitioning from predominantly pro-inflammatory (M1-like phenotypes), which present early post-injury, to anti-inflammatory (M2-like phenotypes), which appear later to modulate skin repair and wound closure. In this review, different cellular and molecular aspects of macrophage-mediated skin wound healing are discussed, alongside important aspects such as macrophage subtypes, metabolism, plasticity, and epigenetics. We also highlight previous studies demonstrating interactions between macrophages and these factors for optimal wound healing. Understanding and harnessing the activity and capability of macrophages may help to advance new approaches for improving healing of the skin.

Beta-Glucan from S. cerevisiae Protected AOM-Induced Colon Cancer in cGAS-Deficient Mice Partly through Dectin-1-Manipulated Macrophage Cell Energy.

Although the impacts of Saccharomyces cerevisiae on cancers are mentioned, data on its use in mice with cyclic GMP-AMP synthase deficiency (cGAS-/-) are even rarer. Here, 12 weeks of oral administration of S. cerevisiae protected cGAS-/- mice from azoxymethane (AOM)-induced colon cancers, partly through dysbiosis attenuation (fecal microbiome analysis). In parallel, a daily intralesional injection of a whole glucan particle (WGP; the beta-glucan extracted from S. cerevisiae) attenuated the growth of subcutaneous tumor using MC38 (murine colon cancer cell line) in cGAS-/- mice. Interestingly, the incubation of fluorescent-stained MC38 with several subtypes of macrophages, including M1 (using Lipopolysaccharide; LPS), M2 (IL-4), and tumor-associated macrophages (TAM; using MC38 supernatant activation), could not further reduce the tumor burdens (fluorescent intensity) compared with M0 (control culture media). However, WGP enhanced tumoricidal activities (fluorescent intensity), the genes of M1 pro-inflammatory macrophage polarization (IL-1β and iNOS), and Dectin-1 expression and increased cell energy status (extracellular flux analysis) in M0, M2, and TAM. In M1, WGP could not increase tumoricidal activities, Dectin-1, and glycolysis activity, despite the upregulated IL-1β. In conclusion, S. cerevisiae inhibited the growth of colon cancers through dysbiosis attenuation and macrophage energy activation, partly through Dectin-1 stimulation. Our data support the use of S. cerevisiae for colon cancer protection.