Macrophage Subtypes Research Articles

Loureirin B Accelerates Diabetic Wound Healing by Promoting TGFβ/Smad‐Dependent Macrophage M2 Polarization: A Concerted Analytical Approach Through Single‐Cell RNA Sequencing and Experimental Verification

ABSTRACTDiabetic wound (DW) represent a significant clinical challenge and often fail to heal effectively. Loureirin B (LB), a flavonoid extracted from dragon's blood, has shown potential by influencing macrophage polarization and promoting wound healing. However, its mechanisms and efficacy in DW remain to be explored. This study employed single‐cell RNA sequencing to analyze the classification of cells in diabetic foot ulcers and to identify the related mechanisms influenced by macrophages. Molecular docking was used to predict the interactions of LB with key proteins in the TGFβ/Smad signaling pathway. The effects of LB on macrophage polarization and wound healing were further validated through in vitro and in vivo experiments using a DW model. Single‐cell analysis identified specific macrophage subtypes involved in the DW healing process and highlighted the role of the TGFβ/Smad pathway. Molecular docking suggested the potential action within the TGFβ/Smad pathway. In vitro studies showed that under high glucose conditions, LB promoted macrophage polarization from pro‐inflammatory M1 to healing‐promoting M2 and ECM production in fibroblasts by activating TGF‐β/Smad signaling. In vivo, LB treatment enhanced wound healing rates in diabetic mice and promoted macrophage M2 polarization and fibroblast synthesis of ECM by activating TGF‐β/Smad signaling. LB regulates macrophage M2 polarization and fibroblast synthesis of ECM by activating TGF‐β/Smad signaling to promote DW healing. These findings suggest that LB could be a potential therapeutic agent for improving DW healing, emphasizing the need for further clinical studies to explore its efficacy and mechanisms in human subjects.

Induction of a distinct macrophage population and protection from lung injury and fibrosis by Notch2 blockade.

Macrophages are pleiotropic and diverse cells that populate all tissues of the body. Besides tissue-specific resident macrophages such as alveolar macrophages, Kupffer cells, and microglia, multiple organs harbor at least two subtypes of other resident macrophages at steady state. During certain circumstances, like tissue insult, additional subtypes of macrophages are recruited to the tissue from the monocyte pool. Previously, a recruited macrophage population marked by expression of Spp1, Cd9, Gpnmb, Fabp5, and Trem2, has been described in several models of organ injury and cancer, and has been linked to fibrosis in mice and humans. Here, we show that Notch2 blockade, given systemically or locally, leads to an increase in this putative pro-fibrotic macrophage in the lung and that this macrophage state can only be adopted by monocytically derived cells and not resident alveolar macrophages. Using a bleomycin and COVID-19 model of lung injury and fibrosis, we find that the expansion of these macrophages before lung injury does not promote fibrosis but rather appears to ameliorate it. This suggests that these damage-associated macrophages are not, by themselves, drivers of fibrosis in the lung.

Metformin Inhibited GSDME to Suppress M2 Macrophage Pyroptosis and Maintain M2 Phenotype to Mitigate Cisplatin-Induced Intestinal Inflammation

Background: The continuous clinical use of cisplatin is prevented by gastrointestinal toxicity. Methods: Cisplatin was used to treat THP-1-derived macrophages to see its differential effects on different subtypes of macrophages. Wild-type and Gsdme−/− mice models were used to examine the effect of cisplatin and metformin on intestinal inflammation in vivo. The effect of GSDME on macrophage polarization was further confirmed by GSDME knockdown. Results: We found that M2 macrophages, with more cell blebbing and GSDME cleavage, were more sensitive to cisplatin-induced pyroptosis than M1 macrophages. Cisplatin was capable of enhancing the M1 phenotype, which was reversed by GSDME knockdown. GSDME contributed to M1 polarization and GSDME knockdown promoted M2 phenotype via STAT6 activation. Reduced intestinal inflammation and increased M2 macrophage numbers was detected in cisplatin-treated GSDME-knockout mice. Furthermore, metformin alleviated cisplatin-induced intestinal inflammation by reducing M2 pyroptosis and enhancing M2 phenotype through GSDME inhibition. Conclusion: This is the first study to reveal the non-pyroptotic role of GSDME in macrophage polarization, revealing that metformin could be used in combination with cisplatin to reduce intestinal toxicity.

Single-cell transcriptome analysis identifies a novel tumor-associated macrophage subtype predicting better prognosis in pancreatic ductal adenocarcinoma.

Characterized by an immune-suppressive tumor microenvironment (TME), pancreatic ductal adenocarcinoma (PDAC) is well-known for its poor prognosis. Tumor associated macrophages (TAMs) play a critical role in PDAC TME. An in-depth understanding of TAMs is helpful to develop new strategies for immunotherapy. A large number of single-cell RNA sequencing data and bulk RNA sequencing data of PDAC were collected for systematic bioinformatics analysis. Characterize subtypes of TAMs at single-cell resolution and its effect on prognosis. Differential gene analysis and cell-cell communication were used to describe the effect on prognosis and validated by the TCGA dataset. We used two prognosis-favorable genes, SLC12A5 and ENPP2, to identify a benign M2-like TAMs (bM2-like TAMs), which shared similarities with C1QC + TAMs, CXCL9+ TAMs and CD169+ TAMs, by analyzing scRNA-seq data and bulk RNA data of PDAC. The bM2-like TAMs were revealed to promote T cell activation and proliferation through ALCAM/CD6 interaction. Meanwhile, the bM2-like TAMs were responsible for stroma modeling by altering αSMA+/αSMA-cell ratio. On the contrast, the rest of the M2-like TAMs were defined as malignant M2-like TAMs (mM2-like TAMs), partly overlapping with SPP1+ TAMs. mM2-like TAMs were revealed to promote tumor progression by secretion of MIF and SPP1. Our study used two prognosis-favorable genes to divide M2-like TAMs of PDAC into anti-tumor bM2-like TAMs and pro-tumor mM2-like TAMs. The bM2-like TAMs activate T cells through ALCAM/CD6 and generate prognosis-favorable αSMA+ myofibroblasts through secreting TGFβ, which brings insight into heterogeneity of TAMs, prognosis prediction and immunotherapy of PDAC.

Mouse Corneal Immune Cell Heterogeneity Revealed by Single-Cell RNA Sequencing.

This study aimed to define the heterogeneity, spatial localization, and functional roles of immune cells in the mouse cornea using single-cell RNA sequencing (scRNA-seq) and immunofluorescent staining. Enriched mouse corneal immune cells (C57BL/6 strain, age 16-20 weeks) underwent single-cell RNA sequencing library preparation, sequencing, and analysis with Seurat, Monocle 3, and CellChat packages in R. Pathway analysis used Qiagen Ingenuity Pathway Analysis software. Immunostaining confirmed cell distribution. We identified 14 distinct immune cell clusters (56% myeloid and 44% lymphoid). Myeloid populations included resident macrophages, conventional dendritic cells (cDC2s), Langerhans cells, neutrophils, monocytes, and mast cells. Additionally, lymphocyte subsets (B, CD8, CD4, γδT, natural killer, natural killer T, and group 2 innate lymphoid cells) were found. We also found three new subtypes of resident macrophages in the cornea. Trajectory analysis suggested a differentiation pathway from monocytes to conventional dendritic cells, resident macrophages, and LCs. Intercellular communication network analysis using cord diagram identified amyloid precursor protein, chemokine (C-C motif) ligands (2, 3, 4, 6, 7, 9, and 12), Cxcl2, Mif, Tnf, Tgfb1, Igf1, and Il10 as prominent ligands involved in these interactions. Sexually dimorphic gene expression patterns were observed, with male myeloid cells expressing genes linked to immune regulation (Egr1, Foxp1, Mrc1, and Il1rn) and females showing higher expression of antigen presentation genes (Clic1, Psmb8, and Psmb9). Finally, immunostaining confirmed the spatial distribution of these cell populations within the cornea. This study unveils a diverse immune landscape in the mouse cornea, with evidence for cell differentiation and sex-based differences. Immunostaining validates the spatial distribution of these populations, furthering our knowledge of corneal immune function.

Trophoblast cell-derived extracellular vesicles regulate the polarization of decidual macrophages by carrying miR-141-3p in the pathogenesis of preeclampsia

Dysregulation of macrophage polarization can prevent the invasion of trophoblast cells and further limit spiral artery remodeling in preeclampsia (PE). However, its mechanism is obscure. HTR8-/Svneo cells were cultured under normoxic or hypoxic conditions and extracellular vesicles (EVs) in the culture supernatants were extracted. Next, the cells were incubated with those EVs to investigate their effects on trophoblasts. A co-culture system consisting of HTR8-/Svneo cells and macrophages was used to reveal how the trophoblast-derived EVs affected the macrophage subtype. Finally, a PE mouse model and miR-141-3p knockout mice were used to verify the function of miR-141-3p in PE. Hypoxia induced abnormal increases in the levels of miR-141-3p in HTR8-/Svneo cells and EVs. EVs from hypoxia-treated HTR8-/Svneo cells could downregulate PTEN, a potential target of miR-141-3p, and inhibit trophoblast mitophagy and invasion. However, HTR8-/Svneo cells transfected with an miR-141-3p inhibitor could attenuate the influence of EVs. In an HTR8-/Svneo cell plus macrophage co-culture system, hypoxia-pretreated cells promoted the transformation of macrophages into the M1-phenotye, and HTR8-/Svneo invasion was inhibited by the macrophages. MiR-141 from EVs could target and downregulate dual specificity phosphatase 1 (DUSP1) expression in macrophages, induce formation of the M1 macrophage phenotype in THP-1 cells, downregulate DUSP1 expression, and upregulate TAB2/TAK1 signaling. These results were also demonstrated in normal pregnant mice and PE pregnant mice. A hypoxic environment could upregulate miR-141 expression in the EVs of HTR8-/Svneo cells, and THP-1-derived macrophages could uptake EVs releasing miR-141 to downregulate DUSP1 expression and induce the formation of M1 macrophages, which can lead to the development of PE.

Bilobalide ameliorates osteoporosis by influencing the SIRT3/NF-κB axis in osteoclasts and promoting M2 polarization in macrophages

Osteoporosis is a systemic disease with complex etiology and high prevalence, resulting in a huge economic burden. For a long time, the search for new therapeutic pharmaceuticals has never stopped. Bone loss is related to the imbalance between bone resorption by osteoclasts and bone formation by osteoblasts. In recent years, the role of immunity and inflammation in the development of osteoporosis has studied well. For example, various cytokines, chemokines and endocrine factors regulate osteoclastogenesis via activating different macrophage subtypes, including pro-inflammatory M1 and anti-inflammatory M2. Bilobalide (Bil), an active Ginkgo biloba ingredient, has garnered great interest because of its anti-oxidant and anti-inflammatory activities. In this study, we found that Bil can attenuate osteoclast generation induced by receptor activator of nuclear factor- kappa B ligand (RANKL) through upregulating the sirtuin 3 (SIRT3) and negatively regulating NF-κB signaling. Furthermore, Bil promotes M2 polarization of macrophages in a dose-dependent manner. In vivo studies provided evidence that Bil improves bone density in osteoporosis mice models. Based on the above results, we have reason to believe that Bil has potential therapeutic value in osteoclast-mediated bone loss and offers an effective option for long-term osteoporosis management.

PD-L1+ Lymphocytes Are Associated with CD4+, Foxp3+CD4+, IL17+CD4+ T Cells and Subtypes of Macrophages in Resected Early-Stage Non-Small Cell Lung Cancer.

The non-canonical PD-L1 pathway revealed that programmed-death ligand 1 (PD-L1) expression in immune cells also plays a crucial role in immune response. Moreover, immune cell distribution in a tumour microenvironment (TME) is pivotal for tumour genesis. However, the results remain controversial and further research is needed. Distribution of PD-L1-positive (PD-L1+) tumour-infiltrating lymphocytes in the context of TME was assessed in 72 archival I-III stage surgically resected NSCLC tumour specimens. Predominant PD-L1+ lymphocyte distribution in the tumour stroma, compared to islets, was found (p = 0.01). Higher PD-L1+ lymphocyte infiltration was detected in smokers due to their predominance in the stroma. High PD-L1+ lymphocyte infiltration in tumour stroma was more common in tumours with higher CD4+ T cell infiltration in islets and stroma, Foxp3+CD4+ T cell infiltration in islets and lover M1 macrophage infiltration in the stroma (p = 0.034, p = 0.034, p = 0.005 and p = 0.034 respectively). Meanwhile, high PD-L1+ lymphocyte infiltration in islets was predominantly found in tumours with high levels of IL-17A+CD4+ T cells in islets and Foxp3+CD4+ T cells in islets and stroma (p = 0.032, p = 0.009 and p = 0.034, respectively). Significant correlations between PD-L1+ lymphocytes and tumour-infiltrating CD4+, Foxp3+CD4+, IL-17A+CD4+ T cells and M2 macrophages were found. An analysis of the tumour-immune phenotype revealed a significant association between PD-L1 expression and IL17+CD4+ and Foxp3+CD4+ immune phenotypes. PD-L1+ lymphocytes are associated with the distribution of CD4+, Foxp3+CD4+, IL17A+CD4+ T cells, M1 and M2 macrophages in TME of resected NSCLC.

Macrophages in the inflammatory response to endotoxic shock.

Endotoxic shock, particularly prevalent in intensive care units, represents a significant medical challenge. Endotoxin, upon invading the host, triggers intricate interactions with the innate immune system, particularly macrophages. This activation leads to the production of inflammatory mediators such as tumor necrosis factor-alpha, interleukin-6, and interleukin-1-beta, as well as aberrant activation of the nuclear factor-kappa-B and mitogen-activated protein kinase signaling pathways. This review delves into the intricate inflammatory cascades underpinning endotoxic shock, with a particular focus on the pivotal role of macrophages. It aims to elucidate the clinical implications of these processes and offer insights into potential therapeutic strategies. Macrophages, central to immune regulation, manifest in two distinct subsets: M1 (classically activated subtype) macrophages and M2 (alternatively activated subtype) macrophages. The former exhibit an inflammatory phenotype, while the latter adopt an anti-inflammatory role. By modulating the inflammatory response in patients with endotoxic shock, these macrophages play a crucial role in restoring immune balance and facilitating recovery. Macrophages undergo dynamic changes within the immune system, orchestrating essential processes for maintaining tissue homeostasis. A deeper comprehension of the mechanisms governing macrophage-mediated inflammation lays the groundwork for an anti-inflammatory, targeted approach to treating endotoxic shock. This understanding can significantly contribute to the development of more effective therapeutic interventions.

Novel FABP4+C1q+ macrophages enhance antitumor immunity and associated with response to neoadjuvant pembrolizumab and chemotherapy in NSCLC via AMPK/JAK/STAT axis

Immune checkpoint inhibitors (ICIs) immunotherapy facilitates new approaches to achieve precision cancer treatment. A growing number of patients with non-small cell lung cancer (NSCLC) have benefited from treatment with neoadjuvant ICIs combined with chemotherapy. However, the mechanisms and associations between the therapeutic efficacy of neoadjuvant pembrolizumab and chemotherapy (NAPC) and macrophage subsets are still unclear. We performed single-cell RNA sequencing (scRNA-seq) and identified a novel FABP4+C1q+ macrophage subtype, which exhibited stronger proinflammatory cytokine production and phagocytic ability. This subtype was found to be more abundant in tumor tissues and lymph nodes of major pathological response (MPR) patients compared to non-MPR patients, and was associated with a good efficacy of NAPC. Multiplex fluorescent immunohistochemical (mIHC) staining was subsequently used to verify our findings. Further mechanistic studies indicated that FABP4 and C1q regulate the expression of proinflammatory cytokines synergistically. In addition, FABP4 and C1q promote fatty acid synthesis, enhance anti-apoptosis ability and phagocytic ability of macrophage via the interaction of AMPK/JAK/STAT axis. This study provides novel insights into the underlying mechanisms and predictive biomarkers of NAPC. Our findings contribute to improving the prognosis of patients with NSCLC by potentially guiding more precise patient selection and treatment strategies.Novelty & Impact StatementsWe identified a group of macrophages (FABP4+C1q+ macrophages) related to the therapeutic efficacy of neoadjuvant chemoimmunotherapy. FABP4+C1q+ macrophages highly expressed proinflammatory cytokines-related genes and had a strong cytokine production and phagocytic ability. We believe that our study provides a novel insight into the synergistic mechanism of neoadjuvant ICI combined with chemotherapy and may lead to improved clinical outcomes in patients with NSCLC in the future.

Innate immunity champions: The diverse functions of macrophages

AbstractMacrophages are instrumental in maintaining tissue homeostasis, modulating inflammation, and driving regeneration. The advent of omics techniques has led to the identification of numerous tissue‐specific macrophage subtypes, thereby introducing the concept of the “macrophage niche”. This paradigm underscores the ability of macrophages to adapt their functions based on environmental cues, such as tissue‐specific signals. This adaptability is closely linked to their metabolic states, which are crucial for their function and role in health and disease. Macrophage metabolism is central to their ability to switch between proinflammatory and anti‐inflammatory states. In this regard, environmental factors, including the extracellular matrix, cellular interactions, and microbial metabolites, profoundly influence macrophage behavior. Moreover, diet and gut microbiota significantly impact macrophage function, with nutrients and microbial metabolites influencing their activity and contributing to conditions like inflammatory bowel disease. Targeting specific macrophage functions and their metabolic processes is leading to the development of novel treatments for a range of chronic inflammatory conditions. The exploration of macrophage biology enriches our understanding of immune regulation and holds the promise of innovative approaches to managing diseases marked by inflammation and immune dysfunction, offering a frontier for scientific and clinical advancement.

Spatial Heterogeneity of PD-1/PD-L1 Defined Osteosarcoma Microenvironments at Single-Cell Spatial Resolution

Osteosarcoma, predominantly affecting children and adolescents, is a highly aggressive bone cancer with a 5-year survival rate of 65% to 70%. The spatial dynamics between tumor-associated macrophage (TAM) and other cellular subtypes, including T cells, osteoblasts, and osteoclasts, are critical for understanding the complexities of the osteosarcoma tumor microenvironment (TME) and can provide insights into potential immunotherapeutic strategies. Our study employs a pioneering approach that combines deep learning-based digital image analysis with multiplex fluorescence immunohistochemistry to accurately implement cell detection, segmentation, and fluorescence intensity measurements for the in-depth study of the TME. We introduce a novel algorithm for TAM/osteoclast differentiation, crucial for the accurate characterization of cellular composition. Our findings reveal distinct heterogeneity in cell composition and spatial orchestration between PD-1 (−/+) and PD-L1 (−/+) patients, highlighting the role of T-cell functionality in this context. Furthermore, our analysis demonstrates the efficacy of nivolumab in suppressing tumor growth and enhancing lymphocyte infiltration without altering the M1/M2-TAM ratio. This study provides critical insights into the spatial orchestration of cellular subtypes within the PD-1/PD-L1 defined osteosarcoma TME. By leveraging advanced multiplex fluorescence immunohistochemistry and artificial intelligence, we underscore the critical role of TAMs and T-cell interactions, proposing new therapeutic avenues focusing on TAM repolarization and targeted immunotherapies, thus underscoring the study’s potential impact on improving osteosarcoma treatment.

Opioid-free anesthesia attenuates perioperative immunosuppression by regulating macrophages polarization in gastric cancer patients treated with neoadjuvant PD-1 inhibitor.

Opioid anesthesia can modulate the impaired immune response and opioid-sparing anesthesia may preserve immune functions. This study was performed to assess the effects of opioid-free anesthesia (OFA) and opioid-based anesthesia (OA) on perioperative macrophages differentiation, cytokine changes, and perioperative complications in locally advanced GC (LAGC) patients. We used quality of recovery-15 (QoR-15) questionnaire scores and visual analog scale (VAS) scores to compare postoperative quality of recovery and pain level. In addition, the adverse reactions of patients in the two groups were compared. The perioperative serum level of inflammatory cytokines and the ratio of macrophage subtypes were detected. The OFA group had significantly longer extubation time and PACU stay, whereas the OA group had significantly higher rate of hypotension, higher doses of norepinephrine, higher PONV and dizziness rate, and delayed flatus passage time. The QoR-15 score on postoperative 24 h was significantly higher in OFA group than in OA group. At the end of or after the surgery, the OFA group had higher levels of interleukin (IL)-12, IL-1β, tumor necrosis factor (TNF)-α, CD68+CD163- macrophage rate, but lower levels of IL-10, transforming growth factor (TGF)-β, and CD68+CD163+ macrophage rate, indicating OFA attenuated perioperative immunosuppression by diminishing M2 and promoting M1 macrophage polarization. And the reversal tendency is more obvious in LAGC patients with neoadjuvant PD-1 inhibitor. The OFA may attenuate perioperative immunosuppression by diminishing M2 and promoting M1 macrophage polarization in LAGC patients with neoadjuvant PD-1 inhibitor. http://gcpgl.sysucc.org.cn, identifier 2022-FXY-001.

Differential effects of macrophage subtype-specific cytokines on fibroblast proliferation and endothelial cell function in co-culture system.

Macrophages are involved in several critical activities associated with tissue repair and regeneration. Current approaches in regenerative medicine are focusing on leveraging the innate immune response to accelerate tissue regeneration and improve long-term healing outcomes. Of particular interest in this regard are the currently known, four main M2 macrophage subtypes: M2interleukin (IL)-4,IL-13, M2IC, M2IL-10, M2non-selective adenosine receptor agonists (NECA) (M2IL-4,IL-13 → M2NECA). In this study, rat bone marrow-derived macrophages (M0) were polarized to each of the four subtypes M2IL-4,IL-13 → M2NECA and cultured for 72 h in vitro. Luminex assay results highlighted increased production of tissue inhibitor of metalloproteinases-1 (TIMP-1) for M2IL-4,IL-13, higher amounts of transforming growth factor-beta 1 (TGF-β1) for M2IL-10, and elevated vascular endothelial growth factor A (VEGF-A) from M2NECA. Co-culture experiments performed with M2IL-10 macrophages and L929 fibroblasts highlighted the increased production of soluble collagen within the media as well as higher amounts of collagen in the extracellular matrix. Human umbilical vein endothelial cells (HUVECs) were co-cultured with M2NECA macrophages, which demonstrated an increase in intercellular adhesion molecule (ICAM) and platelet endothelial cell adhesion molecule (PECAM), as well as increased formation of endothelial tubes. The findings of this study emphasize a critical demand for further characterization and analyses of distinct M2 subtypes and careful selection of specific macrophage populations for regeneration of specific tissue types. The current, broad classification of "M2" may be sufficient in many general tissue engineering applications, but, as conditions are constantly in flux within the microenvironment in vivo, a higher degree of specificity and control over the initial M2 subtype could result in more consistent long-term outcomes where macrophages are utilized as part of an overall regenerative strategy.

Single-Cell RNA Sequencing Revealing that MMP12+ Macrophages are Associated with Cancer Liver Metastasis.

We aimed to explore the MMP12+ macrophages function in liver metastasis of Colorectal cancer [CRC]. CRC has a high incidence, and a great many patients develop liver metastases. Some studies have found that macrophages may participate in the liver metastasis of CRC. This study aimed to determine the factors and major signaling pathways of MMP12+ macrophages affecting liver metastasis of CRC. The single-cell RNA sequencing [scRNA-seq] data of CRC and bulk transcriptome data were downloaded. After filtering scRNA-seq data, dimensionality reduction and clustering were performed to identify different cell subgroups. The FindAll- Markers function was used to calculate the differentially expressed genes in each cell subgroup, and the genes in the promising set were uploaded to the DAVID database to analyze the biological processes to which these genes were enriched. Differentially expressed genes among macrophage subgroups were selected by the AverageExpression function. Then, the CIBERSORT algorithm was used to compute the proportion of each macrophage subgroup in each bulk tissue and determine the most significant macrophage subgroup. The dynamic changes of gene expression in macrophage subgroup were computed by Pseudotime. Finally, CellChat was applied to investigate the effect of the macrophage subgroup on epithelial cells and the ligand-receptor effect of B cells and T cells. Clustering scRNA-seq data showed a larger proportion of macrophages in liver metastases. The proportion of MMP12+ macrophage subtypes increased gradually among normal, tumor, and liver metastasis groups, and MMP12+ macrophages were associated with angiogenesis, cell migration, and inhibited T cell proliferation. The Pseudotime showed higher expression levels of genes related to angiogenesis and enhanced TGF-β signaling pathway and the negative regulation of T cell proliferation with the occurrence of liver metastasis in MMP12+ macrophages. MMP12+ macrophages can promote the proliferation of epithelial cells and inhibit the activation of T cells and B cells. MMP12+ macrophages promoted liver metastasis of CRC by influencing angiogenesis, TGF-β signaling pathway expression, and regulation of T cells and B cells.

NLRP3 inflammasome activation and macrophage distribution in kidney tissues from patients with acute oxalate nephropathy.

The current study was initiated to evaluate renal nucleotide-binding and oligomerization domain-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome pathway activation and macrophage subtype distribution and their clinicopathological significance in a cohort of oxalate-induced acute kidney injury. Twelve patients with biopsy-proven acute oxalate nephropathy (AON) from January 2016 to October 2022 were retrospectively enrolled, with estimated glomerular filtration rate (eGFR)-matched 24 patients with acute tubulointerstitial nephritis (ATIN) as disease control. Pathological lesions as well as markers of NLRP3 inflammasome pathway and macrophage phenotype detected by immunohistochemistry staining were semi-quantitatively analyzed. Oxalate depositions were found in 5% to 20% of tubules with a positive correlation with Sirius Red staining in AON specimens (rp = 0.668, p = 0.02). Disruption of tubular basement membrane and inflammatory cell reaction was more prominent in specimens of AON (both p < 0.05) as compared with ATIN specimens. The expressions of NLRP3, caspase-1, and gasdermin D were significantly increased in AON specimens as well (all p < 0.05). Patients with M1/M2 macrophage ratio <1 were found with more chronic tubulointerstitial lesions and presented with lower eGFR at the last follow-up (24.8  10.6 mL/min/1.73 m2 vs. 55.1  21.2 mL/min/1.73 m2, p = 0.02) in the AON group. The NLRP3 inflammasome pathway was activated in the kidneys of AON patients, and the ratio of M1 and M2 macrophages was associated with chronicity of pathological changes, which needs further exploration.

Spatiotemporal transcriptomic mapping of regenerative inflammation in skeletal muscle reveals a dynamic multilayered tissue architecture.

Tissue regeneration is orchestrated by macrophages that clear damaged cells and promote regenerative inflammation. How macrophages spatially adapt and diversify their functions to support the architectural requirements of actively regenerating tissue remains unknown. In this study, we reconstructed the dynamic trajectories of myeloid cells isolated from acutely injured and early stage dystrophic muscles. We identified divergent subsets of monocytes/macrophages and DCs and validated markers (e.g., glycoprotein NMB [GPNMB]) and transcriptional regulators associated with defined functional states. In dystrophic muscle, specialized repair-associated subsets exhibited distinct macrophage diversity and reduced DC heterogeneity. Integrating spatial transcriptomics analyses with immunofluorescence uncovered the ordered distribution of subpopulations and multilayered regenerative inflammation zones (RIZs) where distinct macrophage subsets are organized in functional zones around damaged myofibers supporting all phases of regeneration. Importantly, intermittent glucocorticoid treatment disrupted the RIZs. Our findings suggest that macrophage subtypes mediated the development of the highly ordered architecture of regenerative tissues, unveiling the principles of the structured yet dynamic nature of regenerative inflammation supporting effective tissue repair.

Development and validation of a risk prognostic model based on the H. pylori infection phenotype for stomach adenocarcinoma

BackgroundStomach adenocarcinoma (STAD) is one of the most common malignancies. Infection of helicobacter pylori (H. pylori) is a major risk factor that leads to the development of STAD. This study constructed a risk model based on the H. pylori-related macrophages for predicting STAD prognosis. MethodsThe single-cell RNA sequencing (scRNA-seq) dataset and the clinic information and RNA-seq datasets of STAD patients were collected for establishing a prognostic model and for validation. The “Seurat” and “harmony” packages were used to process the scRNA-seq data. Key gene modules were sectioned using the “limma” package and the “WGCNA” package. Kaplan-Meier (KM) and Receiver Operating Characteristic Curve (ROC) analyses were performed with “survminer” package. The “GSVA” package was employed for single sample gene set enrichment analysis (ssGSEA). Cell migration and invasion were measured by carrying out wound healing and trans-well assays. ResultsA total of 17397 were screened and classified into 8 cell type clusters, among which the macrophage cluster was closely associated with the H. pylori infection. Macrophages were further categorized into four subtypes (including C1, C2, C3, and C4), and highly variable genes of macrophage subtype C4 could serve as an indicator of the prognosis of STAD. Subsequently, we developed a RiskScore model based on six H. pylori -associated genes (TNFRSF1B, CTLA4, ABCA1, IKBIP, AKAP5, and NPC2) and observed that the high-risk patients exhibited poor prognosis, higher suppressive immune infiltration, and were closely associated with cancer activation-related pathways. Furthermore, a nomogram combining the RiskScore was developed to accurately predict the survival of STAD patients. ABCA1 in the RiskScore model significantly affected the migration and invasion of tumor cells. ConclusionThe gene expression profile served as an indicator of the survival for patients with STAD and addressed the clinical significance of using H. pylori-associated genes to treat STAD. The current findings provided novel understandings for the clinical evaluation and management of STAD.

CONSORT article: Single-cell sequencing analysis revealed CMKLR1+ macrophage as a subpopulation of macrophage with tumor-suppressive characteristics in oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is an aggressive oral malignancy. Metastasis and postoperative recurrence are major causes of a high mortality of OSCC. The landscape of immune cells in OSCC remained to be comprehensively explored. Tumor tissues of OSCC patients were collected from the Gene Expression Omnibus database, based on which single-cell sequencing analysis was performed to identify subtypes of macrophages and to annotate the subpopulations according to the expression levels of cell marker genes. Functional enrichment analysis was performed to explore the biological processes involved in each cell subcluster. Gene regulatory networks driven by SPECIFIC transcription factors (TFs) were developed applying single-cell regulatory network inference and clustering (SCENIC) analysis. Binding strength between receptors and ligands between different cells was analyzed using cell communication analysis. A single-cell landscape in OSCC was successfully developed and a total of 11 cell clusters were identified. Specifically, CD163 + macrophages were a crucial type of macrophage with 4 cell subpopulations, namely, SAT1 + macrophages, IDO1 + macrophages, TRIM29 + macrophages, and CMKLR1 + macrophages. IDO1 + macrophages and CMKLR1 + macrophages mainly had the characteristics of M1-type macrophages. CMKLR1 + macrophages fulfilled the function of M1-type macrophages to inhibit OSCC progression. IDO1 + macrophages and CMKLR1 + macrophages were both involved in the activation response of T cells. CMLKR1 + macrophages had a stronger activating effect on T cells. CMKLR1 + macrophages directly regulated the proliferation of epithelial cells and inhibited the progression of OSCC. CMKLR1 + macrophages in OSCC were identified as a crucial cell subpopulation of macrophages in inhibiting tumor progression. Adjusting the infiltration abundance and cell activity of CMKLR1 + macrophages may be a novel therapeutic direction to improve OSCC prognosis.

A nomoscore of four genes for predicting the rupture risk in abdominal aortic aneurysm patients with osteoarthritis

BackgroundAbdominal aortic aneurysm (AAA) represents one of the most life-threatening cardiovascular diseases and is increasingly becoming a significant global public health concern. The aneurysms-osteoarthritis syndrome (AOS) has gained recognition, as patients with this syndrome often exhibit early-stage osteoarthritis (OA) and have a substantially increased risk of rupture, even with mild dilation of the aneurysm. The aim of this study was to discover potential biomarkers that can predict the occurrence of AAA rupture in patients with OA. MethodsTwo gene expression profile datasets (GSE98278, GSE51588) and two single-cell RNA-seq datasets (GSE164678, GSE152583) were obtained from the GEO database. Functional enrichment analysis, PPI network construction, and machine learning algorithms, including LASSO, Random Forest, and SVM-RFE, were utilized to identify hub genes. In addition, a nomogram and ROC curves were generated to predict the risk of rupture in patients with AAA. Moreover, we analyzed the immune cell infiltration in the AAA tissue microenvironment by CIBERSORT and validated key gene expression in different macrophage subtypes through single-cell analysis. ResultsA total of 105 intersecting DEGs that showed consistent changes between rAAA and OA dataset were identified. From these DEGs, four hub genes (PAK1, FCGR1B, LOX and PDPN) were selected by machine learning. High predictive performance was observed for the nomogram based on these hub genes, with an AUC of 0.975 (95 % CI: 0.942–1.000). Abnormal immune cell infiltration was detected in rAAA and correlated significantly with the hub genes. Ruptured AAA cases exhibited higher nomoscore values and lower M2 macrophage infiltration compared to stable AAA. Validation in animal models (PPE+BAPN-induced rAAA) confirmed the significant role of these biomarkers in AAA pathology. ConclusionThe present study successfully identified four potential hub genes (PAK1, FCGR1B, LOX and PDPN) and developed a robust predictive nomogram to assess the risk of AAA rupture. The findings also shed light on the connection between hub genes and immune cell components in the microenvironment of rAAA. These findings support future research on key genes in AAA patients with OA, providing insights for novel management strategies for AAA.