Natural killer (NK) cells are innate immune cells able to recognize and eliminate virus-infected cells. NK cell activity strongly correlates with a metabolic reprogramming and breakdown of fatty acids by β-oxidation during virus infections. However, there is limited knowledge regarding the impact of obesity on antiviral NK cell functions. Here, employing the Friend retrovirus mouse model, we show that the cytotoxicity and cytokine production of NK cells was impaired in obesity, leading to higher viral loads. NK cells suppression in obesity was mediated by activated Tregs. Furthermore, obese mice that were switched back to a regular diet showed complete recovery of the NK cell activity. Interestingly, feeding mice with a high-fat diet (HFD) for just ten days caused NK cell dysfunction and increased retroviral burden. This study is the first to link the detrimental impact of an obesity-induced immunosuppressive microenvironment with NK cell dysfunction during an acute retroviral infection.

The management of chronic lymphocytic leukemia (CLL) has significantly improved with targeted therapies. However, many patients experience a suboptimal response. To optimally select the best therapy, predictive biomarkers are necessary. In this study, we used the phosphoinositide 3-kinase (PI3K) inhibitor umbralisib as a model to (i) understand the impact of targeted treatment on cell signaling and immunophenotypes in responders and nonresponders, (ii) identify molecular features that predict individual treatment responses, and (iii) suggest alternative treatment options for the nonresponders.

We performed functional phenotyping of CLL cells from patients enrolled in two clinical trials with umbralisib, administered either as a monotherapy (NCT02742090, n = 55) or in combination with the Bruton tyrosine kinase (BTK) inhibitor acalabrutinib (NCT04624633, n = 12).

We found that umbralisib monotherapy led to significant changes in (phospho)protein levels, including AKT (pS473), in responders but not in nonresponders. Furthermore, the proportion of cytotoxic natural killer (NK) cells increased at the end of the study but only in responders, suggesting a role in the antitumor response. To identify molecular predictors of response, we used the baseline levels of 30 (phospho)proteins in the monotherapy cohort as input features for a machine learning model, which achieved significant prediction accuracy in cross-validation and maintained its predictive power in the combination cohort. Drug sensitivity profiling of the CLL cells at baseline suggested that PI3K + Bcl-2 inhibitors are effective in umbralisib nonresponders.

Functional phenotyping reveals differential cellular responses to umbralisib treatment in responders and nonresponders; predicts treatment response of individual patients with CLL; and suggests alternative treatment options for the nonresponders.

Natural killer (NK) cells are a subset of innate lymphoid cells that possess cytotoxic properties, playing a pivotal role in immune surveillance against tumor cells. However, it remains unclear whether there are any alterations in the quantity and functional status of NK cells in colorectal cancer (CRC).

In this study, we collected peripheral blood samples from both CRC patients and age- and sex-matched healthy controls (HCs). The distribution characteristics, phenotypic changes, functional status, apoptosis susceptibility, and proliferative capacity of circulating NK cells were detected and analyzed by flow cytometry. An in vitro study was performed to investigate the blocking effect of KLRG1 antibody on peripheral blood NK cells in CRC patients.

The frequency and absolute number of circulating NK cells were significantly decreased in CRC patients compared to those in HCs. Meanwhile, the function of NK cells from CRC patients was compromised, as shown by the reduced production of IFN-γ, TNF-α, and CD107a, with this impairment becoming increasingly significant as neural invasion progressed and tumor invasion advanced. We further found that the expression of activating receptors NKp30 and NKp46 were reduced, while the expression of inhibitory receptor KLRG1 was remarkably increased. The increased proportion of KLRG1 on NK cells was associated with CRC progression, and KLRG1+ NK cells showed impaired production of IFN-γ, TNF-α, and CD107a and were more susceptible to apoptosis. Importantly, blockade of the KLRG1 pathway could restore the cytokine production and degranulation ability of NK cells from CRC patients.

The present study demonstrates that NK cells in CRC patients exhibit functional exhaustion, and KLRG1 blockade restores the effector function of NK cells, indicating that targeting KLRG1 represents a promising strategy for immunotherapy in patients with CRC.

There is little evidence investigating the association between green space (exposure and inequality) and active transportation during the COVID-19 pandemic. This study focused on the spatial heterogeneity in trajectories of different transportation modes during the COVID-19 pandemic worldwide, as well as the association between green space exposure and inequality and active transportation during the COVID-19 pandemic from a global perspective.

This study was based on an ecological study design and used three different Apple Mobility indices (driving, walking and public transit) to evaluate the trajectories of different transportation modes during the COVID-19 pandemic in 299 cities across 46 countries. Green space exposure was calculated based on fine-resolution population and green space mappings. Green space inequality was calculated by incorporating the Gini index into the green space exposure (green space Gini index). The hot/cold spot analysis was used to explore spatial heterogeneity in trajectories of different transportation modes during the COVID-19 pandemic worldwide, while Gaussian spatial mixed models were used to model the association between green space exposure and inequality and active transportation.

The hot/cold spot analysis shows that there were spatial inequalities in the trajectories of different transportation modes worldwide during the COVID-19 pandemic. Results from Gaussian spatial mixed models showed that green space exposure was positively associated with the walking index (Coef.=46.82; SE=18.20), while green space inequality was positively associated with the walking index (Coef.=58.88; SE=26.87) and public transit index (Coef.=162.07; SE=80.16). Also, the effect of green space varied across city development levels, the stringency of policy and COVID-19 severity.

Our findings demonstrate the importance of sufficient city-scale green spaces to support active transportation, with important implications to help cities better prepare for future pandemics and support active transportation during non-pandemic times.

The use of natural killer (NK) cell-based immunotherapy has been extensively explored in clinical trials for multiple types of tumors and has surfaced as a promising approach in tumor immunotherapy. Interleukins (ILs), a vital class of cytokines, play a crucial role in regulating several functions of NK cells, thereby becoming a focal point in the advancement of NK cell-based therapies. Nonetheless, the use of ILs as single agents is significantly constrained by their short half-life, limited efficacy, and adverse reactions. Currently, nanomaterials are being progressively employed in the delivery of ILs to enhance NK cell-based immunotherapy. However, there is currently a lack of comprehensive reviews summarizing the design of NK-cell-targeted nanomaterials and related systems for delivery of ILs. Furthermore, certain nanomaterials, either alone or in conjunction with other therapeutics, can also promote the secretion of ILs, representing a promising avenue for further exploration. Accordingly, this review begins by outlining various types of ILs and subsequently discusses the advancements in applying nanomaterials for IL delivery. It also examines the potential of nanomaterials to enhance IL secretion from other immune cells, thereby influencing the NK cell functionality. Lastly, this review addresses the challenges associated with using nanomaterials in these contexts and offers perspectives for future research. This study aims to provide valuable insights into the development of NK cell immunotherapy and innovative nanomaterial-based drug delivery systems.

Human leukocyte antigen class I (HLA-I) plays a pivotal role in shaping anti-tumour immunity by influencing the functionality of T cells and natural killer (NK) cells within the tumour microenvironment.

Here, we explored the transcriptional landscape of HLA-I molecules across various solid cancer transcriptomes from The Cancer Genome Atlas (TCGA) database and assessed the impact of HLA-I expression on the clinical significance of tumour-infiltrating CD56dim and CD56bright NK cells.

Our analysis revealed that high HLA-I expression correlated with reduced patient survival in the TCGA lower-grade glioma (LGG) cohort, with this association varying by histopathological subtype. We then estimated the relative abundance of 23 immune and stromal cell signatures in LGG transcriptomes using a cellular deconvolution approach, which revealed that LGG patients with low HLA-I expression and high CD56dim NK cell abundance had better survival outcomes compared to those with high HLA-I expression and low CD56dim NK cell abundance. Furthermore, HLA-I expression was positively correlated with various inhibitory NK cell receptors and negatively correlated with activating NK cell receptors, particularly those within the killer cell lectin-like receptor (KLR) gene family. High co-expression of HLA-E and NKG2A predicted poor survival outcomes in LGG patients, whereas low HLA-E and high NKG2C/E abundance predicted more favourable outcomes, suggesting a potential modulatory role of HLA-I on the tumour-infiltrating cytotoxic CD56dim NK cell subset.

Overall, our study unveils a potential role for deregulated HLA-I expression in modulating the clinical impact of glioma-infiltrating CD56dim NK cells. These findings lay the foundation for future in-depth experimental studies to investigate the underlying mechanisms.

Upon repeated target cell contact serial degranulating NK cells are identified by multiple staining events using differentially labeled anti-CD107a (LAMP1) antibodies. This flow-cytometry-based method allows for the characterization and isolation of serial degranulating NK cells.

It is a high priority to enhance the efficacy of seasonal influenza vaccines based on hemagglutinin (HA) strain-specific neutralizing immunity. Here, we investigated a vaccination strategy of supplementing inactivated split seasonal vaccines with a virus-like particle vaccine containing multi-subtype neuraminidase (NA) and M2 ectodomain (M2e) repeat (NA-M2e) in mice. NA-M2e and split combined vaccine (S + NA-M2e) stimulated a unique pattern of innate immune responses within a day after intramuscular injection of mice. The combined S + NA-M2e vaccination induced enhanced levels of IgG antibodies to viral antigens, hemagglutination inhibiting activities, and humoral and cellular immune responses to NA and M2e. The addition of NA-M2e to split vaccination provided higher efficacy of protection against homologous and heterologous viruses compared to split alone, where NA-M2e significantly contributed to enhancing protection under naïve and primed mouse models. This study supports a vaccination strategy to improve the efficacy of seasonal vaccines by providing additional immunity to NA and M2e.

Polysaccharides from algae provide a range of biology and health benefits. Lately, there has been a significant interest in how algal polysaccharides affect the immune microenvironment around tumors.

To elucidate the subtle interactions between algal polysaccharides and the tumor immune microenvironment to further understand the medicinal potential of algal polysaccharides.

To give a summary of the sources, bioactivities and characteristics of the tumor immune microenvironment of algal polysaccharides, and to analyze alteration of the immunological milieu surrounding tumors by algal polysaccharides and their potential as immunomodulators of chemotherapeutic agents.

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Algal polysaccharides can fight tumors by changing how immune cells work and affecting inflammation in different ways. Moreover, algal polysaccharides have shown promise in mitigating the adverse effects associated with conventional cancer treatments, such as chemotherapy. Algal polysaccharides, through their immunomodulatory effects, can alleviate some of these side effects, leading to an enhanced overall treatment outcome.

As research continues to uncover the underlying mechanisms of their antitumor effects, algal polysaccharides are poised to become a vital component in the development of novel cancer treatments, providing new hope for patients and advancing the field of oncology.

HCC is considered as one of the leadin causes of death worldwide, with the ability of resistance towards therapeutics. Immunotherapy, particularly ICIs, have provided siginficant insights towards harnessing the immune system. The present review introduces the concepts and possibilities of immunotherapy for HCC treatment, emphasizing its underlying mechanisms and capacity to enhance patient results, focusing on both pre-clinical and clinical insights. The functions of TME and immune evasion mechanisms typical of HCC would be evaluated along with how contemporary immunotherapeutic approaches are designed to address these challenges. Furthermore, the clinical application of immunotherapy in HCC is discussed, emphasizing recent trial findings demonstrating the effectiveness and safety of drugs. In addition, the problems caused by immune evasion and resistance would be discussed to increase potential of immunotherapy along with combination therapy.

Head and neck cancer (HNC) is the sixth most common disease in the world. The recurrence rate of patients is relatively high, and the heterogeneity of tumor immune microenvironment (TIME) cells may be an important reason for this. Single-cell sequencing (SCS) is currently the most promising and mature application in cancer research. It can identify unique genes expressed in cells and study tumor heterogeneity. According to current research, the heterogeneity of immune cells has become an important factor affecting the occurrence and development of HNC. SCSs can provide effective therapeutic targets and prognostic factors for HNC patients through analyses of gene expression levels and cell heterogeneity. Therefore, this study analyzes the basic theory of HNC and the development of SCS technology, elaborating on the application of SCS technology in HNC and its potential value in identifying HNC therapeutic targets and biomarkers.

Chimeric antigen receptor (CAR)-T cell therapy has revolutionized cancer treatment, yet challenges such as manufacturing complexity, high costs, and safety concerns have spurred the development of alternatives like CAR-natural killer (NK) cell immunotherapies. CAR-NK cell therapies provide innate cytotoxicity with antigen-independent targeting, reducing safety risks while improving therapeutic efficacy. However, efficient genomic engineering and large-scale production of allogeneic NK cells remain significant obstacles. To address these challenges, a novel microfluidic gene delivery platform is developed, the Y-hydroporator, designed for allogeneic NK cell immunotherapy. This platform features a Y-shaped microchannel where NK cells experience rapid hydrodynamic stretching near the stagnation point, creating transient membrane discontinuities that facilitate the uptake of exogenous cargo. The Y-hydroporator achieves high delivery and transfection efficiency, processing ≈2 × 106 cells min-1 while maintaining long-term cell viability (>89%) and functionality. Using this platform, human primary CAR-NK cells and NKG2A-knockout NK cells are successfully generated by delivering anti-CD19 CAR mRNA and CRISPR/Cas9 ribonucleoproteins, respectively. These engineered NK cells demonstrated enhanced cytotoxicity, underscoring the potential of the Y-hydroporator as a transformative tool for advancing allogeneic NK cell-based immunotherapies.

Cancer remains a global health challenge, and this challenge comes with a significant burden. Current treatment modalities, such as surgery, chemotherapy, and radiotherapy, have their limitations. The emergence of nanomedicines presents a new frontier in postoperative cancer treatment, offering potential to inhibit tumor recurrence and manage postoperative complications. This review deeply explores the application and potential of nanomedicines in the treatment of cancer after surgery. In particular, it focuses on local drug delivery systems (LDDS), which consist of in situ injection, implantation, and spraying. LDDS can provide targeted drug delivery and controlled release, which enhancing therapeutic efficacy. At the same time, it minimizes damage to healthy tissues and reduces systemic side effects. The nanostructures of these systems are unique. They facilitate the sustained release of drugs, prolong the effects of treatment, and decrease the frequency of dosing. This is especially beneficial in the postoperative period. Despite their potential, nanomedicines have limitations. These include high production costs, concerns regarding long-term toxicity, and complex regulatory approval processes. This paper aims to analyze several aspects. These include the advantages of nanomedicines, their drug delivery systems, how they combine with multiple treatment methods, and the associated challenges. Future research should focus on certain issues. These issues are stability, tumor specificity, and clinical translation. By addressing these, the delivery methods can be optimized and their therapeutic efficacy enhanced. With the advancements in materials science and biomedical engineering, the future design of LDDS is set to become more intelligent and personalized. It will cater to the diverse needs of clinical treatment and offer hope for better outcomes in cancer patients after surgery.

Multiple myeloma (MM) is a haematological malignancy originating from terminally differentiated B cells, resulting in significant morbidity and mortality. Currently, MM is regarded as an incurable disease, often exhibiting a relapse-remitting pattern that necessitates multiple lines of therapy. It is now well-established that ineffective immunosurveillance plays a critical role in the progression of MM. Consequently, strategies that redirect immune effector cells against MM have emerged as effective treatment modalities, particularly in cases where standard care therapies fail. T cell-based immunotherapy has gained considerable attention in ongoing clinical trials; however, natural killer (NK) cells, known for their ability to execute cytotoxicity against infected and malignant cells with precision, may offer complementary therapeutic advantages over T cells and possess untapped therapeutic potential. This review seeks to introduce readers to the significance of NK cell-mediated immunosurveillance in the context of MM, explore the potential benefits of redirecting NK cells against MM, and illustrate how current treatment strategies are often reliant on the functionality of NK cells. Most importantly, new promising mechanisms of harnessing NK cell-based immunity against MM are reviewed and put into a clinical perspective to highlight their implications for patient treatment and outcomes.

T cell acute lymphoblastic leukemia (T-ALL) is a heterogeneous disease characterized by a high relapse rate. By single-cell transcriptome analysis, we characterize the bone marrow immune microenvironment in patients with T-ALL, identifying 13 major cell clusters. These patients exhibited abnormally expanded hematopoietic stem cells (HSCs) and granulocyte-monocyte progenitors (GMPs), immunosuppressive traits in CD4+ T, CD8+ T, and natural killer (NK) cells. Subdividing CD4+ T cells reveal two subsets transitioning between T helper (Th)1/Th2, Annexin-A1 (ANXA1)-GATA3-CD4+ T, and ANXA1+GATA3+CD4+ T. Additionally, NK cells demonstrate exhaustion in the tumor microenvironment of patients with relapsed T-ALL, with JUN identified as a critical factor. Additionally, JUN is also highly expressed in T-ALL and is crucial for maintaining its proliferation. The JUN inhibitor exhibited successful lethality toward leukemia cells and ameliorated NK cell exhaustion in relapsed T-ALL cell line, as well as in cell-derived tumor xenograft (CDX), patient-derived tumor xenograft (PDX), and NOTCH1-mutant mouse models. In summary, our findings enhance the understanding of T-ALL relapse mechanisms and support the development of innovative immunotherapies for patients with relapsed T-ALL.

Does the transcriptome of preconceptional endometrium in the proliferative phase show a specific profile in women with recurrent pregnancy loss (RPL)?

A specific differential gene expression signature in endometrial samples for women experiencing RPL compared with IVF control women was identified including an RPL subgroup characterized by upregulation of immune-related genes and pathways.

RPL affects 1-3% of couples trying to become parents with both short- and long-term health implications; furthermore, the underlying pathophysiology is complex and heterogeneous with no explanations found for more than half of the couples. Some studies indicate that immunological dysfunction plays a role even preconceptionally and during implantation; however, the few published studies of endometrial transcriptomes from women with RPL have had small sample sizes and focused on the secretory phase of the menstrual cycle.

The study was based on two cohorts of women: an RPL cohort (n = 108) and a control cohort (n = 27). Endometrial samples were collected at two university hospital clinics from March 2013 until February 2019. Dating of the endometrium was made by histological examination by experienced pathologists.

All women were between 18 and 42 years at the time of collection of the biopsy. RPL was defined as three or more consecutive pregnancy losses or two second-trimester losses or stillbirths. The control group consisted of women referred to IVF/ICSI treatment with a presumed healthy endometrium. All biopsies, except one, were collected in a natural menstrual cycle. In total, 108 women with RPL were subjected to RNA-seq analysis. Seventy-six biopsies were in the proliferative phase, 29 were in the secretory phase, and three could not be classified. For the control women, in total, 27 were included in the RNA-seq analysis; 22 biopsies were in the proliferative phase, one was in the secretory phase, and four could not be classified. Total RNA was extracted from the endometrial biopsies, which had been stored in RNA stabilization solution at -80°C. RNA-seq reads were mapped and quantified using a reference transcriptome and analysed using principal component analysis (PCA), hierarchical clustering, and differential gene expression methods.

PCA showed a clear separation of biopsies collected either in the proliferative or secretory phase. For the main analyses, we focused on the women with biopsies in the proliferative phase. PCA and differentially expressed genes (DEGs) revealed that RPL patients were characterized by upregulation of a limited number of immune-related genes and pathways. Further analyses revealed that subjects could describe a gene expression continuum, separable into four different subgroups by the gene expression data, where one subgroup consisted only of IVF controls, one was mixed, and two were composed of RPL patients only. The final analyses showed a distinct subgroup in the RPL cohort with stronger upregulation of immune-related genes, and deconvolution analyses of the bulk RNA-sequencing data together with immunohistochemistry analyses of the CD56 marker indicated an increased number of natural killer cells in this subgroup. A machine-learning model based on the Random Forest algorithm and gene expression data from the 157 DEGs (RPL vs controls) was trained on a subset of the cohort and validated using the remaining subjects, reaching on average 96.6% accuracy (95% CI: 93.3-96.7%), 95.7% sensitivity (95% CI: 95.7-95.7%), and 99.5% specificity (95% CI: 85.7-100.0%). The same analysis using only the most informative genes increased validation accuracies further.

The size of the IVF control group and difficulties in defining the most optimal type of control group is a recurrent limitation in this and other RPL studies. Some of the women from the control group might be subfertile in relation to endometrial factors. However, the current control group is a mix of women with different pregnancy and fertility records, which is a strength. Alternative control groups could be women with one to two healthy pregnancies or one to two pregnancy terminations. Furthermore, in only about 10% of the RPL cases information on foetal pathology or chromosomal aneuploidy was obtained.

The findings presented here indicate that a gene expression signature exists, which can be used to classify RPL patients versus control (non-RPL) women. An interesting aspect is that a pregnancy loss in some women thereby might result in a specific signature detectable as a specific endometrial gene expression profile possibly irrespectively of the cause of the pregnancy loss. Aside from contributing to a further understanding of the pathophysiology and development of new treatments, this finding could lead to a specific and cost-effective test that at an early stage could identify women with high risk of experiencing RPL. To this end, further perspectives include a prospective study, which would explore further utility of the predictive model by analysing endometrial samples collected in the proliferative phase from a cohort of women, who have experienced one pregnancy loss.

This work was supported by the Region Zealand Health Sciences Research Foundation, Zealand University Hospital through the ReproHealth Research Consortium ZUH, the Frimodt-Heineke Foundation, 'Direktør Emil C. Hertz og Hustru Inger Hertz' Fond', the Torben and Alice Frimodt's Foundation, the Novo Nordisk Foundation, and the Independent Research Fund Denmark. L.H.J.A., R.S.M., Y.D., K.J.H., H.S.N., A.S., and T.V.F.H. are inventors on a patent application (number EP24171923.6) submitted by Region Zealand, The Capital Region of Denmark, and the University of Copenhagen that covers a diagnostic test based on the results of the study. The authors declared no other competing interests.

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Chronic allograft vasculopathy (CAV) is a major cause of late graft failure in heart transplant recipients, characterized by progressive intimal thickening and diffuse narrowing of the coronary arteries. Unlike atherosclerosis, CAV exhibits a distinct cellular composition and lesion distribution, yet its pathogenesis remains incompletely understood. A major challenge in CAV research has been the limited application of advanced "-omics" technologies, which have revolutionized the study of other vascular diseases. Recent advancements in single-cell and spatial transcriptomics, proteomics, and metabolomics have begun to uncover the complex immune-endothelial-stromal interactions driving CAV progression. Notably, single-cell RNA sequencing has identified previously unrecognized immune cell populations and signaling pathways implicated in endothelial injury and vascular remodeling after heart transplantation. Despite these breakthroughs, studies applying these technologies to CAV remain sparse, limiting the translation of these insights into clinical practice. This review aims to bridge this gap by summarizing recent findings from single-cell and multi-omic approaches, highlighting key discoveries, and discussing their implications for understanding CAV pathogenesis.

Cancer, being one of the most outrageous diseases, contributed to 48 % of the mortality in 2022, with lung cancer leading the race with a 12.4 % incidence rate. Conventional treatment modalities like radio-, chemo-, photo-, and immunotherapy employing nanocarriers often face several setbacks, such as non-specific delivery, off-site toxicity, rapid opsonization via the host immune system, and greater tumor recurrence rates. Moreover, the heterogeneous variability in the tumor microenvironment is responsible for existing therapy failure. With the advent of biomimetic nanoparticles as a novel and intriguing platform, researchers have exploited the inherent functionalities of the Cluster of Differentiation proteins (CD) as cell surface biomarkers and imparted the nanocarriers with enhanced homologous tumor targetability, immune evasion capability, and stealth properties, paving the way for improved therapy and diagnosis. This article explores pathogenesis and the multifaceted role of immune cells in non-small cell lung cancer. Moreover, the agenda of this article is to shed light on biomimetic nanoarchitectonics with respect to their fabrication, evaluation, and applications unraveling their synergistic effect with conventional therapies. Further discussion mentions the hurdles in clinical translation with viable solutions. The regulatory bottlenecks underscore the need for a regulatory roadmap with respect to commercialization. We believe that biomimetic nanoarchitectonics will be a beacon of hope in warfare against lung cancer.

IgA vasculitis nephritis (IgAVN) manifests in up to 84% of adult patients with IgA vasculitis (IgAV) and is associated with an elevated risk of progression to chronic kidney failure. The underlying pathogenic mechanism of adult IgAVN in leukocytes remain largely uncharacterised. Although natural killer (NK) cells were investigated in paediatric IgAV, their specific role in the pathogenesis of adult IgAV has yet to be elucidated.

RNA sequencing of leukocytes from adult IgAV patients and healthy controls (HC) was performed. NK cells' cytotoxicity was assessed using calcein-AM stained K562 cells, and exocytosis was measured by LAMP-1/CD107a expression. Intracellular perforin and granzyme B were analyzed via flow cytometry, and cytokine secretion was measured by Luminex xMAP. Interferon-induced genes were validated with qPCR.

Principal component analysis (PCA) of leukocyte gene expression profiles distinguished IgAV patients from HC. Pathway enrichment analysis showed differences in patients' subsets - Interferon signalling Reactome pathway was observed only in sample from patients with skin-limited IgAV (sl-IgAV) and was confirmed by increased expression of interferon-induced genes using qPCR. Only in samples from IgAVN patients enrichment of NK cell-mediated cytotoxicity KEGG pathway was found. NK cells from IgAVN patients showed significantly decreased cytotoxicity compared to samples from sl-IgAV patients (p = 2.53 × 10- 2). The % of CD107a+-NK cells significantly increased after stimulation in HC (p = 9.7 × 10- 3) and in sl-IgAV patient samples (p = 2.21 × 10- 2) while only a minor increase was observed in samples of IgAVN patients. IgAVN patients exhibited a decreased % of perforin+ NK cells compared to HC. Following phytohemagglutinin (PHA)/interleukin (IL)-2 stimulation, a significant reduction in intracellular perforin level was observed in HC (p = 2.53 × 10- 2), but not in IgAVN patients NK cells. Interferon (IFN)-ϒ and macrophage inflammatory protein (MIP)-1β were significantly decreased in NK cell culture supernatants from IgAVN patients (p = 2.64 × 10- 2 and p = 2.65 × 10- 2 respectively).

Patients with IgAVN exhibited impaired cytotoxic and immunomodulatory functions of NK cells, along with a marked absence of interferon signaling in PBMCs. Further studies are needed to confirm if discrimination of patient subsets based on leukocyte samples might be of clinical use and if deregulated NK function might contribute to the pathogenesis of nephritis in adult IgAV.

Class I and II human leukocyte antigens (HLA-I and HLA-II) present peptide antigens for immunosurveillance by T cells. HLA molecules also form ligands for a plethora of innate, germline-encoded receptors. Many of these receptors engage HLA molecules in a peptide sequence independent manner, with binding sites outside the peptide binding groove. However, some receptors, typically expressed on natural killer (NK) cells, engage the HLA presented peptide directly. Remarkably, some of these receptors display exquisite specificity for peptide sequences, with the capacity to detect sequences conserved in pathogens. Here, we review evidence for peptide-specific NK cell receptors (PSNKRs) and discuss their potential roles in immunity.

Natural killer (NK) play a key role in controlling tumor dissemination by mediating cytotoxicity towards cancer cells without the need of education. These cells are pivotal in eliminating circulating tumor cells (CTCs) from the bloodstream, thus limiting cancer spread and metastasis. However, aggressive CTCs can evade NK cell surveillance, facilitating tumor growth at distant sites. In this review, we first discuss the biology of NK cells, focusing on their functions within the tumor microenvironment (TME), the lymphatic system, and circulation. We then examine the immune evasion mechanisms employed by cancer cells to inhibit NK cell activity, including the upregulation of inhibitory receptors. Finally, we explore the clinical implications of monitoring circulating biomarkers, such as NK cells and CTCs, for therapeutic decision-making and emphasize the need to enhance NK cell-based therapies by overcoming immune escape mechanisms.

Interventional oncology has become an important part of multidisciplinary cancer treatment following the development of interventional radiology. Tumors can release antigens, activate immunity, and cause an abscopal effect after interventional therapy. However, the activated immune response is limited and involves a complex process. New methods to solve the problems were developed following the advent of immunotherapy. The combination therapies enhanced the antitumor immune response and improved patient outcomes with good application prospects. In this review, we have summarized the interventional therapies used to improve immune efficacy and discussed the advancements in combining interventional therapy and immunotherapy.

Genitourinary (GU) cancers, including renal cell carcinoma, prostate cancer, bladder cancer, and testicular cancer, represent a significant health burden and are among the leading causes of cancer-related mortality worldwide. Despite advancements in traditional treatment modalities such as chemotherapy, radiotherapy, and surgery, the complex interplay within the tumor microenvironment (TME) poses substantial hurdles to achieving durable remission and cure. The TME, characterized by its dynamic and multifaceted nature, comprises various cell types, signaling molecules, and the extracellular matrix, all of which are instrumental in cancer progression, metastasis, and therapy resistance. Recent breakthroughs in immunotherapy (IO) have opened a new era in the management of GU cancers, offering renewed hope by leveraging the body's immune system to combat cancer more selectively and effectively. This approach, distinct from conventional therapies, aims to disrupt cancer's ability to evade immune detection through mechanisms such as checkpoint inhibition, therapeutic vaccines, and adoptive cell transfer therapies. These strategies highlight the shift towards personalized medicine, emphasizing the importance of understanding the intricate dynamics within the TME for the development of targeted treatments. This article provides an in-depth overview of the current landscape of treatment strategies for GU cancers, with a focus on IO targeting the specific cell types of TME. By exploring the roles of various cell types within the TME and their impact on cancer progression, this review aims to underscore the transformative potential of IO strategies in TME targeting, offering more effective and personalized treatment options for patients with GU cancers, thereby improving outcomes and quality of life.

New non-destructive tools with single-cell resolution are needed to reliably assess B cell and NK cell function for applications including adoptive cell therapy and immune profiling. Optical metabolic imaging (OMI) is a label-free method that measures the autofluorescence intensity and lifetime of the metabolic cofactors NAD(P)H and FAD to quantify metabolism at a single-cell level. Here, we demonstrate that OMI can resolve metabolic changes between primary human quiescent and IL-4/anti-CD40 activated B cells and between quiescent and IL-12/IL-15/IL-18 activated NK cells. We found that stimulated B and NK cells had an increased proportion of free compared to protein-bound NAD(P)H, a reduced redox state, and produced more lactate compared to control cells. The NAD(P)H mean fluorescence lifetime decreased in the stimulated B and NK cells compared to control cells. Random forest models classified B cells and NK cells according to activation state (CD69+) based on OMI variables with an accuracy of 93%. Our results show that autofluorescence lifetime imaging can accurately assess B and NK cell activation in a label-free, non-destructive manner.

The universal chimeric antigen receptor T cell (UCAR-T) immunotherapy derived from healthy donors holds great promise in pan-cancer treatment. However, UCAR-T cell therapy faces a challenge in the rapid elimination of allogeneic cells by the host immune system. To address this, we introduced a T316I mutation in the leukocyte-specific protein tyrosine kinase (LCK) locus in CAR-T cells using the cytosine base editor (CBE) system. Concurrently, we disrupted endogenous T cell receptor alpha chain (TRAC) and beta-2 microglobulin (B2M) with the CRISPR-Cas9 system, along with dasatinib to overcome host immune rejection, an Src family kinase (SFK) inhibitor. The resulting LCK mutated UCAR-T (KM UCAR-T) cells exhibited normal phenotypes in activation, proliferation, differentiation, and tumor cytotoxicity in vitro. Moreover, KM UCAR-T cells demonstrated sustained expansion in mixed lymphocyte reactions (MLR) when incubated with T cells or peripheral blood mononuclear cells (PBMCs) from HLA-mismatched donors upon dasatinib treatment. Additionally, we illustrated that KM UCAR-T cells displayed antitumor activity in a xenograft murine model and verified the expansion and cytotoxicity of KM UCAR-T over traditional UCAR-T in the presence of allogeneic PBMCs when treated with dasatinib in vivo. These findings offer a novel strategy for UCAR-T cells to resist host immune rejection and achieve sustained expansion.

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to pose a significant global public health threat, particularly to older adults, pregnant women, and individuals with underlying chronic conditions. Dysregulated immune responses to SARS-CoV-2 infection are believed to contribute to the progression of COVID-19 in severe cases. Previous studies indicates that a deficiency in type I interferon (IFN-I) immunity accounts for approximately 15 %-20 % of patients with severe pneumonia caused by COVID-19, highlighting the potential therapeutic importance of modulating IFN-I signals. Natural products and their derivatives, due to their structural diversity and novel scaffolds, play a crucial role in drug discovery. Some of these natural products targeting IFN-I have demonstrated applications in infectious diseases and inflammatory conditions. However, the immunomodulatory potential of IFN-I in critical COVID-19 pneumonia and the natural compounds regulating the related signal pathway remain not fully understood. In this review, we offer a comprehensive assessment of the association between IFN-I and severe COVID-19, exploring its mechanisms and integrating information on natural compounds effective for IFN-I regulation. Focusing on the primary targets of IFN-I, we also summarize the regulatory mechanisms of natural products, their impact on IFNs, and their therapeutic roles in viral infections. Collectively, by synthesizing these findings, our goal is to provide a valuable reference for future research and to inspire innovative treatment strategies for COVID-19.

Immunotherapy has transformed cancer treatment, but its efficacy is often limited by the immunosuppressive characteristics of the tumor microenvironment (TME), which are predominantly influenced by the metabolism of cancer cells. Among these metabolic pathways, the indoleamine 2,3-dioxygenase (IDO) pathway is particularly crucial, as it significantly contributes to TME suppression and influences immune cell activity. Additionally, inducing immunogenic cell death (ICD) in tumor cells can reverse the immunosuppressive TME, thereby enhancing the efficacy of immunotherapy. Herein, we develop CGDMRR, a novel bimetallic peroxide-based nanodrug based on copper-cerium peroxide nanoparticles. These nanotherapeutics are engineered to mitigate tumor hypoxia and deliver therapeutics such as 1-methyltryptophan (1MT), glucose oxidase (GOx), and doxorubicin (Dox) in a targeted manner. The design aims to alleviate tumor hypoxia, reduce the immunosuppressive effects of the IDO pathway, and promote ICD. CGDMRR effectively inhibits the growth of 4T1 tumors and elicits antitumor immune responses by leveraging immunometabolic interventions and therapies that induce ICD. Furthermore, when CGDMRR is combined with a clinically certified anti-PD-L1 antibody, its efficacy in inhibiting tumor growth is enhanced. This improved efficacy extends beyond unilateral tumor models, also affecting bilateral tumors and lung metastases, due to the activation of systemic antitumor immunity. This study underscores CGDMRR's potential to augment the efficacy of PD-L1 blockade in breast cancer immunotherapy.

Innate immune cells, including natural killer cells, macrophages and γδ T cells, are gaining prominence as promising candidates for cancer immunotherapy. Unlike conventional T cells, these cells possess attributes such as inherent antitumor activity, rapid immune responses, favorable safety profiles and the ability to target diverse malignancies without requiring prior antigen sensitization. In this Review, we examine the engineering strategies used to enhance their anticancer potential. We discuss challenges associated with each cell type and summarize insights from preclinical and clinical work. We propose strategies to address existing barriers, providing a perspective on the advancement of innate immune engineering as a powerful modality in anticancer treatment.

The maternal-fetal interface represents a critical site of immunological interactions that can greatly influence pregnancy outcomes. The unique cellular composition and cell-cell interactions taking place within these tissues has spurred substantial research efforts focused on the maternal-fetal interface. With the recent advent of single-cell technologies, multiple investigators have applied such methods to gain an unprecedented level of insight into maternal-fetal communication. Here, we provide an overview of the dynamic cellular composition and cell-cell communications at the maternal-fetal interface as reported by single-cell investigations. By primarily focusing on data from pregnancies in the second and third trimesters, we aim to showcase how single-cell technologies have bolstered the foundational understanding of each cell's contribution to physiologic gestation. Indeed, single-cell technologies have enabled the examination of classical placental cells, such as the trophoblast, as well as uncovered new roles for structural cells now recognized as active participants in pregnancy and parturition, such as decidual and fetal stromal cells, which are reviewed herein. Furthermore, single-cell data investigating the ontogeny, function, differentiation, and interactions among immune cells present at the maternal-fetal interface, namely macrophages, T cells, dendritic cells, neutrophils, mast cells, innate lymphoid cells, natural killer cells, and B cells are discussed in this review. Moreover, a key output of single-cell investigations is the inference of cell-cell interactions, which has been leveraged to not only dissect the intercellular communications within specific tissues but also between compartments such as the decidua basalis and placental villi. Collectively, this review emphasizes the ways by which single-cell technologies have expanded the understanding of cell composition and cellular processes underlying pregnancy in mid-to-late gestation at the maternal-fetal interface, which can prompt their continued application to reveal new pathways and targets for the treatment of obstetrical disease.

Acute-on-chronic liver failure (ACLF) is characterized by fast progression and high mortality, with systemic inflammation and immune paralysis as its key events. While natural killer (NK) cells are key innate immune cells, their unique function and subpopulation heterogeneity in ACLF have not been fully elucidated. This study aimed to investigate the characteristics of NK cell subsets in the peripheral blood of patients with ACLF and determine their roles in the inflammatory responses.

Circulating NK cells (14 751 cells) from patients with ACLF and healthy controls (HCs) were subjected to single-cell RNA sequencing (scRNA-seq). Clustering and annotation were used to identify the features of NK cell subsets and the characteristics of disease progression in ACLF.

Four NK cell subsets were obtained, including adaptive NK cells, mature NK cells, inflamed NK cells, and CD56bright NK cells. Compared with the HCs, the patients with ACLF had a significantly lower proportion of Mature NK cells and a higher proportion of Inflamed NK cells. Quasi-temporal analysis showed that Inflamed NK cells were highly enriched in the late quasi-temporal sequence, and genes related to pro-inflammatory were significantly up-regulated in Inflamed NK cells. In addition, scRNA-seq and flow cytometry confirmed that the expression level of cell migration inducing hyaluronidase 2 (CEMIP2) in NK cells progressively increased from the HC group to the ACLF survival group and then to the ACLF death group.

scRNA-seq reveals that Inflamed NK cell subsets are associated with ACLF progression and poor prognosis. CEMIP2 may be a molecular marker for ACLF progression.

Bladder cancer (BC) is a heterogeneous disease associated with high mortality if not diagnosed early. BC is classified into non-muscle-invasive BC (NMIBC) and muscle-invasive BC (MIBC), with MIBC linked to poor systemic therapy response and high recurrence rates. Current treatments include transurethral resection with Bacillus Calmette-Guérin (BCG) therapy for NMIBC and radical cystectomy with chemotherapy and/or immunotherapy for MIBC. The tumor microenvironment (TME) plays a critical role in cancer progression, metastasis, and therapeutic efficacy. A comprehensive understanding of the TME's complex interactions holds substantial translational significance for developing innovative treatments. The TME can contribute to therapeutic resistance, particularly in immune checkpoint inhibitor (ICI) therapies, where resistance arises from tumor-intrinsic changes or extrinsic TME factors. Recent advancements in immunotherapy highlight the importance of translational research to address these challenges. Strategies to overcome resistance focus on remodeling the TME to transform immunologically "cold" tumors, which lack immune cell infiltration, into "hot" tumors that respond better to immunotherapy. These strategies involve disrupting cancer-microenvironment interactions, inhibiting angiogenesis, and modulating immune components to enhance anti-tumor responses. Key mechanisms include cytokine involvement [e.g., interleukin-6 (IL-6)], phenotypic alterations in macrophages and natural killer (NK) cells, and the plasticity of cancer-associated fibroblasts (CAFs). Identifying potential therapeutic targets within the TME can improve outcomes for MIBC patients. This review emphasizes the TME's complexity and its impact on guiding novel therapeutic approaches, offering hope for better survival in MIBC.

Natural killer (NK) cells are prototypic cytotoxic innate lymphocytes that can kill target cells, such as tumor cells, in the absence of antigen-restriction. Peripheral NK cells exhibit a high degree of heterogeneity. Here, we set out to broadly assess intrinsic modulators of NK cell degranulation in an unbiased manner. We stimulated human primary blood-borne NK cells pre-treated with different cytokine regimens with the HCT116 human colon cancer cell line and used detection of lysosome-associated membrane glycoprotein 1 (LAMP1) as an identifier of rapid NK cell degranulation. RNA sequencing of FACS-sorted LAMP1hi NK cells showed CXCR4 and S1PR5 were top down-regulated genes. Using compounds that modulate activity of CXCR4 and S1P receptor family members S1P1 and S1P5, we confirmed they play an important immunosuppressive role in NK cell cytotoxicity. Mechanistically, engagement of CXCR4 and S1P1/5 receptors triggered phosphorylation of p42 and Ca2+ influx. CXCR4 activation promoted S1P5 upregulation and vice versa, and joint activation of both receptors amplified the defect NK cell degranulation. Intriguingly, in tumor samples the expression of both receptors and the synthesis of their ligands themselves appear to be coordinately regulated. Together, these data suggest that specifically and simultaneously targeting CXCR4 and S1P5 activity in the tumor microenvironment (TME) could be a beneficial strategy to unleash full cytotoxic potential of cytotoxic NK effector cells in the tumor.

Opioid exposure during pregnancy may significantly alter gene expression in the placenta, potentially disrupting its function and influencing fetal brain development. These alterations may contribute to adverse outcomes such as neonatal opioid withdrawal syndrome (NOWS). In this study, we aim to systematically investigate the changes in placental gene expression associated with maternal opioid exposure to better understand the underlying molecular mechanisms and their implications for fetal health.

Fresh placental tissue samples were collected from 18 opioid-exposed pregnancies and 26 non-opioid-exposed control pregnancies. Transcriptomic changes related to opioid exposure were assessed using RNA sequencing (RNA-seq).

Among the 16,172 genes detected, 55 showed differential expression (Padjusted < 0.25 or Punadjusted < 0.001) in opioid-exposed placentas. Gene Set Enrichment Analysis (GSEA) revealed that the differentially expressed genes were primarily associated with immune responses, neuronal development and function, as well as cell replication and division. Computational deconvolution using the PlacentaCellEnrich program identified significant enrichment of upregulated genes in decidual NK cells. Furthermore, integrative analysis of DNA methylation and gene expression showed an enrichment of differentially methylated genes among downregulated genes in opioid-exposed placentas.

Our findings suggest that opioid exposure during pregnancy may disrupt critical placental pathways, particularly those involved in immune responses. Future studies focusing on transcriptomic changes in specific placental cell types will be essential for fully understanding the structural and functional alterations in the placenta due to opioid exposure during pregnancy.

Pseudomonas aeruginosa is a prevalent opportunistic Gram-negative bacterial pathogen. One of its key virulence factors is pyocyanin, a redox-active phenazine secondary metabolite that plays a crucial role in the establishment and persistence of chronic infections. This review provides a synopsis of the mechanisms through which pyocyanin exacerbates pulmonary infections. Pyocyanin induces oxidative stress by generating reactive oxygen and nitrogen species which disrupt essential defense mechanisms in respiratory epithelium. Pyocyanin increases airway barrier permeability and facilitates bacterial invasion. Pyocyanin also impairs mucociliary clearance by damaging ciliary function, resulting in mucus accumulation and airway obstruction. Furthermore, it modulates immune responses by promoting the production of pro-inflammatory cytokines, accelerating neutrophil apoptosis, and inducing excessive neutrophil extracellular trap formation, which exacerbates lung tissue damage. Additionally, pyocyanin disrupts macrophage phagocytic function, hindering the clearance of apoptotic cells and perpetuating inflammation. It also triggers mucus hypersecretion by inactivating the transcription factor FOXA2 and enhancing the IL-4/IL-13-STAT6 and EGFR-AKT/ERK1/2 signaling pathways, leading to goblet cell metaplasia and increased mucin production. Insights into the role of pyocyanin in P. aeruginosa infections may reveal potential therapeutic strategies to alleviate the severity of infections in chronic respiratory diseases including cystic fibrosis (CF) and chronic obstructive pulmonary disease (COPD).

Glioblastomas are the most prevalent primary brain tumors and are associated with a dramatically poor prognosis. Despite an intensive treatment approach, including maximal surgical tumor removal followed by radio- and chemotherapy, the median survival for glioblastoma patients has remained around 18 months for decades. Glioblastoma is distinguished by its highly complex mechanisms of immune evasion and pronounced heterogeneity. This variability is apparent both within the tumor itself, which can exhibit multiple phenotypes simultaneously, and in its surrounding microenvironment. Another key feature of glioblastoma is its "cold" microenvironment, characterized by robust immunosuppression. Recent advances in single-cell RNA sequencing have uncovered new promising insights, revealing previously unrecognized aspects of this tumor. In this review, we consolidate current knowledge on glioblastoma cells and its microenvironment, with an emphasis on their biological properties and unique patterns of molecular communication through signaling pathways. The evidence underscores the critical need for personalized poly-immunotherapy and other approaches to overcome the plasticity of glioblastoma stem cells. Analyzing the tumor microenvironment of individual patients using single-cell transcriptomics and implementing a customized immunotherapeutic strategy could potentially improve survival outcomes for those facing this formidable disease.

In an era where established lines between cell identities are blurred by intra-lineage plasticity, distinguishing stable from transitional states is critical, especially within Group 1 ILCs, where similarity and plasticity between NK cells and ILC1s obscure their unique contributions to immunity. This study leverages AsGM1-a membrane lipid associated with cytotoxic attributes absent in ILC1s-as a definitive criterion to discriminate between these cell types. Employing this glycosphingolipid signature, we achieved precise delineation of Group 1 ILC diversity across tissues. This lipid signature captured the binary classification of NK and ILC1 during acute liver injury and remained stable when tested in established models of NK-to-ILC1 plasticity driven by TGFβ or Toxoplasma gondii. The detection of AsGM1 at the iNK stage, prior to Eomes expression, and its persistence in known transitional states, positions AsGM1 as a pivotal marker for tracing NK-to-ILC1 transitions, effectively transcending the ambiguity inherent to the NK-to-ILC1 continuum.

In this work, we report the discovery and engineering of allosteric variable domains of the heavy chain (VHHs) derived from camelid immunization targeting NKp30, an activating receptor on natural killer (NK) cells. The aim was to enhance NK cell-mediated killing capacities by identifying VHHs that do not compete with the natural ligand of NKp30:B7-H6, thereby maximizing the recognition of B7-H6+ tumor cells. By relying on the DuoBody technology, bispecific therapeutic antibodies were engineered, creating a panel of bispecific antibodies against NKp30xEGFR (cetuximab moiety) or NKp30xHER2 (trastuzumab moiety), called natural killer cell engagers (NKCEs). These NKCEs were assessed for their killing capacities on B7-H6-expressing tumor cells. The results demonstrated an enhancement in NK killing capacities for both EGFR-expressing (HeLa) and HER2-expressing (SK-BR-3) cells, indicating the significance of the natural NKp30/B7-H6 axis in tumor recognition by the immune system. Notably, engineering NKCEs to allow natural recognition of B7-H6 was found to be more effective in promoting NKCE-mediated killing of B7-H6+ tumor cells via enhancement of cytokine release. This study highlights the potential of an enhanced-targeting approach, wherein tumor cell surface antigens are targeted while still enabling the natural recognition of the activating ligand (B7-H6) by the immune cells.