Cell-specific Receptor Research Articles

A Disposable Pipette Extraction-UHPLC-MS/MS Method Based on Removal of Phospholipids to Determine Anandamide, 2-Arachidonoylglycerol, Cannabidiol, and Δ9-Tetrahydrocannabidiol in Plasma Samples.

Cannabidiol (CBD) and Δ9-tetrahydrocannabinol (THC), the main components of Cannabis sativa plants, can interact with specific cell receptors known as cannabinoid receptors (CBs). The endogenous compounds anandamide (AEA) and 2-arachidonoylglycerol (2-AG) are CB agonists, and, alongside enzymes, they constitute the endocannabinoid system (ECS) and take part in neuromodulation. Several LC-MS/MS methods have been developed to quantify these compounds in biological matrixes, but a fast and simple method that can determine these analytes in plasma samples simultaneously is not available. Here, we propose a disposable pipette extraction technique containing a zirconia-based sorbent (DPX(Zr)) combined with UHPLC-MS/MS analysis to determine CBD, THC, AEA, and 2-AG in plasma samples, simultaneously. The method combines simple protein precipitation (PPT) with a one-step DPX procedure to remove phospholipids, one of the most common endogenous interferents in biological samples. Optimization of the combined PPT-DPX sample preparation method reduced the matrix effect and improved the sensitivity of the analytical method. The validated DPX(Zr)-UHPLC-MS/MS method reported LLOQs of 0.1ng mL-1 for AEA and 2-AG and 1ng mL-1 for CBD and THC. The method demonstrated intra- and interassay accuracy and precision of less than 20% for the LLOQ, and less than 15% for the other calibration points. Additionally, no carryover or significant matrix effect was observed. We applied this method to determine AEA, 2-AG, and CBD in plasma samples obtained from obsessive-compulsive disorder patients treated with CBD.

An Overview of Receptor-targeted Nanotechnological Approaches for the Treatment of Metastatic Breast Cancer

Abstract: Breast cancer (BC) is the second most prevalent cancer among women and can originate from the tubes, connective tissue, and lobules of the breast. The primary focus of this review is to highlight the significant advancement in the development of receptor-targeted nanotherapy for the management of metastatic breast cancer. These innovative systems directly target the specific cancer cell receptor to enhance the precision and effectiveness of the treatment. Inadequate therapy and incorrect diagnosis in conventional treatment have contributed to the rising mortality rate from breast cancer. BC that has spread to another organ in the body, commonly called Metastatic breast cancer (MBC) or Stage IV metastases, is an aggressive and heterogeneous illness that decreases the prognosis. The current treatment methods for MBC are similar to initial-stage breast cancer, which involve hormonal surgery, chemotherapy, immunotherapy, and radiation therapy with poor specificity and invasive. Moreover, treating MBC is more difficult because the cancer cells varies depending on the organ. Nanotechnology provides valuable insights for treating MBC that enable the early identification of tumor cells. Moreover, it can also transport therapeutic agents directly to the targeted sites while reducing the toxicity to healthy tissue. Due to its multifunctional, programmable, and trackable properties, future research and treatment may succeed with nanotechnology-based imaging and therapy. The present study summarizes an overview of nanotechnology-based drug delivery methods (NDDM) and receptor-targeting nanotherapy (RTN) that are applied in MBC therapy to gain attention in clinical applications. Clinical trial studies have also been discussed along with receptor-targeting nanomedicine and the status of the most relevant patent.

Possible roles of heteroreceptor complexes in excitotoxic processes

Excitotoxicity represents a neuropathological process, describing the toxic actions of excitatory neurotransmitters, where the excessive or prolonged activation of glutamate receptors triggers a cascade of events leading to neuronal injury or death. Under conditions of reduced energy availability and increased oxidative stress neurons become particularly vulnerable to excitotoxicity and a large body of available evidence indicates that excitotoxicity represents a central mechanism in the pathogenesis of acute and degenerative diseases of the central nervous system. Astrocytes represent key elements in the regulation of glutamate homeostasis by their opposing functions of glutamate uptake and release, and microglial cells play an important role in the response to damage. Depending on the phenotype they assume when activated, microglial cells can trigger immune defense or neuroprotective processes. To perform their functions both glial cell populations monitor the extracellular space through a panel of receptors. Furthermore, a variety of signaling pathways also contribute to the modulation of the glutamatergic transmission, acting on specific cell receptors expressed by neurons, astrocytes, and microglia. In the last decades, evidence has been provided that receptors of almost all families can establish structural receptor-receptor interactions, leading to the formation of heteroreceptor complexes at the cell membrane of neurons and glial cells. The cooperativity that emerges in the actions of ligands of the monomers forming these assemblies provides the cell decoding apparatus with flexible dynamics in terms of recognition and signal transduction and allows an integration of the incoming signals already at the membrane level. Available data on possible modulatory roles played by heteroreceptor complexes in excitotoxic processes will be here reviewed and discussed. From the pharmacological standpoint, these findings may offer possibilities to explore novel therapeutic strategies targeting receptor complexes to address disorders of the central nervous system associated with dysregulation of glutamatergic signaling.

Cell-Specific Effects of Insulin in a Murine Model of Restenosis Under Insulin-Sensitive and Insulin-Resistant Conditions.

Restenosis following percutaneous revascularization is a major challenge in patients with insulin resistance and diabetes. Currently, the vascular effects of insulin are not fully understood. In vitro, insulin's effects on endothelial cells (ECs) are beneficial, whereas on vascular smooth muscle cells (SMCs), they are mitogenic. We previously demonstrated a suppressive effect of insulin on neointimal growth under insulin-sensitive conditions that was abolished in insulin-resistant conditions. Here, we aimed to determine the cell-specific effects of insulin on neointimal growth in a model of restenosis under insulin-sensitive and insulin-resistant conditions. Vascular cell-specific insulin receptor (IR)-deficient mice were fed a low-fat diet (LFD) or a high-fat, high-sucrose diet (HFSD) and implanted with an insulin pellet or vehicle prior to femoral artery wire injury. In insulin-sensitive conditions, insulin decreased neointimal growth only in controls. However, under insulin-resistant conditions, insulin had no effect in either control, EC-specific or SMC-specific IR-deficient mice. These data demonstrate that EC and SMC IRs are required for the anti-restenotic effect of insulin in insulin-sensitive conditions and that, in insulin resistance, insulin has no adverse effect on vascular SMCs in vivo.

Self-assembling Peptides Based Fibers: A Pioneering Innovation for Regenerative Medicine

Self-assembling peptides (SAPs) have emerged as a groundbreaking platform in regenerative medicine, offering innovative strategies for tissue engineering and repair. These biomolecules, designed to autonomously organize into nanofibers, mimic the natural extracellular matrix, providing essential structural support and biological cues for tissue regeneration. This review highlights the versatile applications of SAPs in regenerating diverse tissues, including bone, cartilage, cardiac, neural, and dermal structures, showcasing their potential to address a broad spectrum of medical challenges. The unique properties of SAPs, such as biocompatibility, biodegradability and specific cell receptor interaction capabilities, make them ideal for developing advanced therapeutic strategies. We discuss here the molecular design principles that allow for precise control over the nanofibers physical and chemical characteristics, facilitating the creation of scaffolds that promote cell attachment, proliferation, and differentiation. Additionally, the review covers the use of SAPs in drug delivery systems, emphasizing their ability to control the release of therapeutic agents, a critical aspect in enhancing tissue repair processes. Moreover, we address key considerations regarding the safety, biodegradability and potential immunogenicity of SAPs, underscoring the importance of thorough preclinical and clinical evaluations. The future directions and challenges in optimizing SAPs design and functionalization for maximizing regenerative outcomes are also explored.

Targeted protein degradation combined with PET imaging reveals the role of host PD-L1 in determining anti-PD-1 therapy efficacy.

Immunohistochemical staining of programmed death-ligand 1 (PD-L1) in tumor biopsies acquired through invasive procedures is routinely employed in clinical practice to identify patients who are most likely to benefit from anti-programmed cell death protein 1 (PD-1) therapy. Nevertheless, PD-L1 expression is observed in various cellular subsets within tumors and their microenvironments, including tumor cells, dendritic cells, and macrophages. The impact of PD-L1 expression across these different cell types on the responsiveness to anti-PD-1 treatment is yet to be fully understood. We synthesized polymer-based lysosome-targeting chimeras (LYTACs) that incorporate both PD-L1-targeting motifs and liver cell-specific asialoglycoprotein receptor (ASGPR) recognition elements. Small-animal positron emission tomography (PET) imaging of PD-L1 expression was also conducted using a PD-L1-specific radiotracer 89Zr-αPD-L1/Fab. The PD-L1 LYTAC platform was capable of specifically degrading PD-L1 expressed on liver cancer cells through the lysosomal degradation pathway via ASGPR without impacting the PD-L1 expression on host cells. When coupled with whole-body PD-L1 PET imaging, our studies revealed that host cell PD-L1, rather than tumor cell PD-L1, is pivotal in the antitumor response to anti-PD-1 therapy in a mouse model of liver cancer. The LYTAC strategy, enhanced by PET imaging, has the potential to surmount the limitations of knockout mouse models and to provide a versatile approach for the selective degradation of target proteins in vivo. This could significantly aid in the investigation of the roles and mechanisms of protein functions associated with specific cell subsets in living subjects.

GLP-1-directed NMDA receptor antagonism for obesity treatment

The N-methyl-d-aspartate (NMDA) receptor is a glutamate-activated cation channel that is critical to many processes in the brain. Genome-wide association studies suggest that glutamatergic neurotransmission and NMDA receptor-mediated synaptic plasticity are important for body weight homeostasis1. Here we report the engineering and preclinical development of a bimodal molecule that integrates NMDA receptor antagonism with glucagon-like peptide-1 (GLP-1) receptor agonism to effectively reverse obesity, hyperglycaemia and dyslipidaemia in rodent models of metabolic disease. GLP-1-directed delivery of the NMDA receptor antagonist MK-801 affects neuroplasticity in the hypothalamus and brainstem. Importantly, targeting of MK-801 to GLP-1 receptor-expressing brain regions circumvents adverse physiological and behavioural effects associated with MK-801 monotherapy. In summary, our approach demonstrates the feasibility of using peptide-mediated targeting to achieve cell-specific ionotropic receptor modulation and highlights the therapeutic potential of unimolecular mixed GLP-1 receptor agonism and NMDA receptor antagonism for safe and effective obesity treatment.

Engineering mannose-functionalized nanostructured lipid carriers by sequential design using hybrid artificial intelligence tools

Nanostructured lipid carriers (NLCs) hold significant promise as drug delivery systems (DDS) owing to their small size and efficient drug-loading capabilities. Surface functionalization of NLCs can facilitate interaction with specific cell receptors, enabling targeted cell delivery. Mannosylation has emerged as a valuable tool for increasing the ability of nanoparticles to be recognized and internalized by macrophages. Nevertheless, the design and development of functionalized NLC is a complex task that entails the optimization of numerous variables and steps, making the process challenging and time-consuming. Moreover, no previous studies have been focused on evaluating the functionalization efficiency. In this work, hybrid Artificial Intelligence technologies are used to help in the design of mannosylated drug loaded NLCs. Artificial neural networks combined with fuzzy logic or genetic algorithms were employed to understand the particle formation processes and optimize the combinations of variables for the different steps in the functionalization process. Mannose was chemically modified to allow, for the first time, functionalization efficiency quantification and optimization. The proposed sequential methodology has enabled the design of a robust procedure for obtaining stable mannosylated NLCs with a uniform particle size distribution, small particle size (< 100 nm), and a substantial positive zeta potential (> 20mV). The incorporation of mannose on the surfaces of these DDS following the established protocols achieved > 85% of functionalization efficiency. This high effectiveness should enhance NLC recognition and internalization by macrophages, thereby facilitating the treatment of chronic inflammatory diseases.Graphical

Is the Serpin-Enzyme Complex Receptor an Orphan G-Protein Coupled Receptor?

Alpha-1 antitrypsin (α1-AT) is a member of serine proteinase inhibitors, collectively known as serpins, that inactivate their target enzymes by forming a stabilized serpin-enzyme complex. α1-AT molecules interact with elastase, forming biologically active complexes. It was suggested that the formation of α1-AT-elastase complex would expose a domain from α1-AT molecule that is recognized by a specific cell receptor. Thus, a synthetic peptide, called 105Y, was made based on the sequence of the exposed domain. The peptide binds specifically to human hepatoma HepG2 cells, human monocytes, human neutrophils, and rat pheochromocytoma cells (PC12). This binding is blocked by α1-AT-elastase complex and other serpin-enzyme complexes, suggesting an existence of a specific cell surface receptor, termed SEC receptor, that recognizes serpin enzyme complexes. However, the identity of SEC receptor is still unknown. Thus, we decided to use the Deductive Reasoning Strategy approach to investigate if the SEC receptor belongs to G-protein-coupled receptor (GPCR) family. We measured responsiveness of HepG2 cells as well as human neuroblastoma SHSY5Y cells to 105Y peptide by quantifying their expression of an early response gene c-Fos using real time quantitative polymerase chain reaction (qPCR) and measured their expression of orphan GPCRs using polymerase chain reaction (PCR) followed by gel electrophoresis. Our results indicate that the cells were responding to 105Y peptide and express certain orphan GPCRs. Our goal is to evaluate the necessity of these oGPCRs in 105Y peptide signaling in order to determine the best candidate(s) for the 105Y receptor. These results would shed light on the identity of the SEC receptor for better understanding of the molecular biology and physiology of the serpin-enzyme complexes and their receptors. National Institute of Health. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Neutrophils Disrupt B-1a Cell Homeostasis by Targeting Siglec-G to Exacerbate Sepsis

Abstract In sepsis, B-1a cells diminish in the peritoneal cavity (PerC) as they relocate to the spleen via CXCL12/CXCR4. In the spleen, these cells differentiate into plasma cells, skewing from innate to adaptive phenotype. The mechanism governing the PerC B-1a cell relocation in sepsis remains elusive. Sialic-acid-binding immunoglobulin-like lectin (Siglec)-G is a B-1a cell-specific receptor. We found that Siglec-G-/- PerC B-1a cells had a higher migration rate than WT B-1a cells. Siglec-G negatively regulated B-1a cell migration by interacting with CXCR4, as Siglec-G-/- B-1a cells showed increased activation of the CXCR4’s downstream pathway. LPS-activated neutrophils decreased Siglec-G expression on B-1a cells and promoted B-1a cell migration, while NE inhibitor reversed these. Recombinant NE treatment decreased Siglec-G expression by cleavage on B-1a cells. A small Siglec-G-derived decoy peptide (SDP) was developed to prevent Siglec-G cleavage based on the interaction site of NE at the Siglec-G protein in silico. Treatment of SDP significantly reduced the decrease in PerC B-1a cell numbers and Siglec-G expression on B-1a cells in septic mice. SDP treatment significantly reduced serum IL-6 and TNFα levels and improved survival rates in septic mice. In conclusion, we discover Siglec-G to be a new regulator of B-1a cell migration. Preventing NE-mediated Siglec-G cleavage upholds a promising strategy for maintaining peritoneal B-1a cell homeostasis to mitigate sepsis.

High Salt Diet Induces Aldosterone Synthase Elevation in Adrenal and Visceral Adipose Tissue - A Potential Culprit for Unsuppressed Aldosterone Levels in Female BALB/c Mice

Women are more salt-sensitive than men, irrespective of age, menopausal status, or ethnic background. Nonetheless, the mechanisms predisposing women to salt sensitivity of blood pressure (SSBP) are poorly understood, notably due to the diffculty in finding appropriate animal models. Previously, we demonstrated that female BALB/c mice spontaneously develop SSBP, likely through an inability to reduce the expression of adrenal aldosterone synthase (CYP11B2) appropriately, which leads to unsuppressed aldosterone levels in response to high salt intake. Herein, we aim to decipher the mechanism involved in SSBP in female BALB/c mice by comparing them to female salt-resistant C57BL/6 mice. Eleven-week-old female BALB/c and C57BL/6J mice were fed either a normal (0.4%, NSD) or a high salt diet (4%, HSD) for seven days. HSD significantly reduced adrenal aldosterone synthase transcript and protein expression in female C57BL/6 mice compared to those on a NSD. Conversely, HSD substantially increased CYP11B2 levels in BALB/c female mice when compared to strain-matched NSD and C57BL/6 NSD mice (2-way ANOVA, p&lt;0.05). HSD induced a more significant aldosterone drop in C57BL/6 versus BALB/c mice (C57BL/6: 72% vs. BALB/c: 49%). Remarkably, HSD led to an increase in CYP11B2 in the visceral adipose tissue (VAT) of BALB/c mice in comparison to strain-matched NSD mice, while no such alteration was observed between C57BL/6 NSD and HSD. We previously showed that leptin regulates CYP11B2 expression. We report here that HSD increased leptin receptor (lepR) expression in adrenal and VAT from BALB/c mice in comparison to both strain-matched NSD and C57BL/6 NSD. Baseline levels of leptin were similar in C57BL/6 and BALB/c mice. However, BALB/c mice on HSD displayed increased levels of leptin compared to its strain-matched NSD mice, while no such alteration was observed in C57BL/6 mice. Furthermore, female BALB/c mice on HSD displayed elevated endothelial cell-specific mineralocorticoid receptor (ECMR) expression compared to female C57BL/6 NSD and HSD mice (2-way ANOVA, p&lt;0.05). Endothelium-dependent relaxation to acetylcholine was significantly reduced in the female BALB/c mice on HSD compared to strain-matched NSD and C57BL/6 NSD (n = 3, 2-way ANOVA, P &lt; 0.05). Interestingly, on NSD, C57BL/6 mice present a better endothelial function than BALB/c, which was not altered by HSD. Collectively, our data supports an overactivation of the leptin-CYP11B2-aldosterone axis in both adrenals and VAT, leading to inappropriate aldosterone levels, which, associated with higher ECMR expression, induce endothelial dysfunction in BALB/c mice. Together, these mechanisms are likely the cause of SSBP in female BALB/c mice. Funding: R01HL130301, R01HL155265 (E.J.B.). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

A Data Mining Study of Zinc Oxide Nanostructures Utilization in Drug Delivery Nanosystems

AbstractThe present investigation offers a thorough bibliometric exploration spotlighting the pivotal utilization of zinc oxide nanostructures, encompassing both zero‐dimensional (0D) nanoparticles and one‐dimensional (1D) nanostructures, within the realm of nanotechnology‐driven drug delivery systems. This analysis particularly illuminates the distinctive potential of these nanostructures in the cancer therapy context, not merely as carriers and deliverers of pharmaceutical agents, but as entities capable of selectively inducing apoptosis in cancer cells through the orchestrated generation of reactive oxygen species (ROS). Recent research endeavors notably underscore the application prospects of ZnO nanostructures in domains like DNA cleavage, bioimaging, and agricultural defense mechanisms. Moreover, the study elucidates the pronounced enhancement in solubility and biocompatibility that these nanostructures bring about when harmoniously integrated into polymeric nanocomposites. Concomitantly, the involvement of polymers in this symbiotic system is unveiled, wherein they play a multifaceted role in dictating release selectivity, thereby facilitating targeted and efficacious interactions with tissues. Functionally engineered polymeric nanocomposites emerge as promising candidates for targeted delivery modalities in cancer treatment, demonstrating an affinity for specific cell receptors and exhibiting enhanced cellular uptake within the size range of 100–200 nm. The study unearths robust associations among pivotal research terminologies through an exhaustive analysis of Link Strength Between Items (LSBI), culminating in the presentation of a cogent map delineating the evolving trends and forthcoming trajectories in this dynamic domain. In summation, this all‐encompassing bibliometric inquiry serves as a poignant testament to the prodigious potential of zinc oxide nanostructures in the realm of forthcoming nanotechnology‐driven drug delivery paradigms.

Early diagnosis of obsessives-compulsive disorder through gene expression analysis using machine learning models

The primary aim of this research study is to develop an early diagnosis method for obsessive-compulsive disorder (OCD) by utilizing gene expression analysis and Machine Learning techniques. Gene expression data from both blood and brain samples were collected from the gene expression omnibus (GEO) database. As OCD cannot currently be detected through instruments, it relies on clinical symptoms that are often misinterpreted. To address this, a novel hybrid feature selection approach that combines statistical and ML methods is proposed to identify down-regulated genes that may play a crucial role in the development of OCD. The results of the earlier studies point to important implications and emphasize the significance of down-regulated gene expression in OCD. Currently, gene expression profiling is used as an investigative tool to identify the specific cell receptors associated with certain conditions, followed by targeted medication to alleviate symptoms. Our proposed method achieved high accuracy rates of 83% for blood data and 92% for brain data when compared to other feature selection methods such as MIFS, CFS, and mRMR, using various Machine Learning models. These results demonstrate the effectiveness of our approach in early OCD diagnosis using gene expression analysis. https://github.com/Naseerullah-Qureshi/classify_gene_expression/blob/main/gene_expression.txt.

Galactose: A Versatile Vector Unveiling the Potentials in Drug Delivery, Diagnostics, and Theranostics.

D-galactose, a simple natural compound, has been investigated as a powerful scaffold for drug delivery, diagnostics, and theranostics due to its distinctive properties and interactions with specific cell receptors. In the field of drug delivery, galactose functions as a ligand to selectively target cells expressing galactose receptors, such as hepatocytes, macrophages, and specific cancer cells. The direct attachment of galactose to the main drug or to drug-loaded nanoparticles or liposomes enhances cellular uptake, thereby improving drug delivery to the intended target cells. Galactose has also been found to be useful in diagnostics. Specifically, diagnostic tests based on galactose, such as the galactose elimination capacity test, are utilized to evaluate liver function and assess liver disease as well as hepatic functional reserve. Additionally, galactose-based theranostic agents can be designed by combining drug delivery and diagnostic capabilities. This review is an update of our previous review concerning the broad spectrum of possibilities for exploiting D-galactose as a vector for prodrug design and the synthetic strategies that allow its realization, jointly in diagnostics and theranostics, to highlight the versatility of this interesting vector.

IL-13 promotes functional recovery after myocardial infarction via direct signaling to macrophages.

There is great interest in identifying signaling pathways that promote cardiac repair after myocardial infarction (MI). Prior studies suggest a beneficial role for IL-13 signaling in neonatal heart regeneration; however, the cell types mediating cardiac regeneration and the extent of IL-13 signaling in the adult heart after injury are unknown. We identified an abundant source of IL-13 and the related cytokine, IL-4, in neonatal cardiac type 2 innate lymphoid cells, but this phenomenon declined precipitously in adult hearts. Moreover, IL-13 receptor deletion in macrophages impaired cardiac function and resulted in larger scars early after neonatal MI. By using a combination of recombinant IL-13 administration and cell-specific IL-13 receptor genetic deletion models, we found that IL-13 signaling specifically to macrophages mediated cardiac functional recovery after MI in adult mice. Single transcriptomics revealed a subpopulation of cardiac macrophages in response to IL-13 administration. These IL-13-induced macrophages were highly efferocytotic and were identified by high IL-1R2 expression. Collectively, we elucidated a strongly proreparative role for IL-13 signaling directly to macrophages following cardiac injury. While this pathway is active in proregenerative neonatal stages, reactivation of macrophage IL-13 signaling is required to promote cardiac functional recovery in adults.

Comparative immunohistochemical evaluation of variable expression of ACE2 and TMPRSS2 in different age groups

Background and objectives: COVID-19 pandemic declared by World Health Organisation has drastically upsurged the death rate in the past three years. The specific host cell receptors for viral spike protein have been identified as Angiotensin Converting Enzyme 2 (ACE2) and Transmembrane Serine Protease 2 (TMPRSS2). The study aimed to evaluate the variation in the pattern of expression of ACE2 and TMPRSS2 by immunohistochemistry in the oral and nasopharyngeal mucosa of different age groups. Methods: Total of 40 patients were recruited for the study and segregated to four groups. Oral tissue samples from patients of age 18-40 years and 41-70 years were grouped as group I, group II respectively. Nasal tissue from 18-40 years was grouped as III and 41-70 years old as group IV. Immunohistochemical expression of ACE and TMPRSS2 were studied in the tissue samples. Scoring was done based on the intensity and percentage of staining and quantitative image analysis using Fiji image analysis software. Independent sample t‐test was done to compare the mean difference in pattern of expression among the age groups studied. Pearson correlation coefficient was done to correlate the expression with age. Statistical significance was set at value less than 0.05. Results: The mean difference in expression was significant for ACE2 (p=0.01) &amp; TMPRSS2 (p=0.02) expression in oral tissue. Both ACE2 and TMPRSS2 expression showed positive correlation between the groups. Conclusion: Age-specific variation might provide deeper understanding of clinical severity and elaborate the validation of therapeutic targets.

Distinct immune escape and microenvironment between RG-like and pri-OPC-like glioma revealed by single-cell RNA-seq analysis

The association of neurogenesis and gliogenesis with glioma remains unclear. By conducting single-cell RNA-seq analyses on 26 gliomas, we reported their classification into primitive oligodendrocyte precursor cell (pri-OPC)-like and radial glia (RG)-like tumors and validated it in a public cohort and TCGA glioma. The RG-like tumors exhibited wild-type isocitrate dehydrogenase and tended to carry EGFR mutations, and the pri-OPC-like ones were prone to carrying TP53 mutations. Tumor subclones only in pri-OPC-like tumors showed substantially down-regulated MHC-I genes, suggesting their distinct immune evasion programs. Furthermore, the two subgroups appeared to extensively modulate glioma-infiltrating lymphocytes in distinct manners. Some specific genes not expressed in normal immune cells were found in glioma-infiltrating lymphocytes. For example, glial/glioma stem cell markers OLIG1/PTPRZ1 and B cell-specific receptors IGLC2/IGKC were expressed in pri-OPC-like and RG-like glioma-infiltrating lymphocytes, respectively. Their expression was positively correlated with those of immune checkpoint genes (e.g., LGALS33) and poor survivals as validated by the increased expression of LGALS3 upon IGKC overexpression in Jurkat cells. This finding indicated a potential inhibitory role in tumor-infiltrating lymphocytes and could provide a new way of cancer immune evasion.

The Amplified DNA Logic Gates Based on Aptamer-Receptor Recognition for Cell Detection and Bioimaging.

A powerful and accurate method for identifying and isolating cells would be of great importance due to its sensitivity, gentleness and effectiveness. Here, we designed a receptor-based DNA logic device that allows Boolean logic analysis of multiple cells. For ease of expression, the molecules on the cell surface that can bind to the aptamer are referred to as "receptors". This DNA logic device sends signals based on cell surface sgc8c and sgc4f receptor expression by performing NOT, NOR, AND and OR logic operations, and amplifies and evaluates the signals using HCR. Meanwhile, the release of ICG from the endopore of HMSNs is controlled by affecting structural changes in the DNA logic device. This approach can accurately identify and treat multiple cells on demand based on the presence or absence of cell-specific receptors, facilitating the development of personalized medicine.

Engineering E2 Bionanoparticles for Targeted Delivery of Chemotherapeutics to Breast Cancer Cells.

Naturally occurring protein nanocages are promising drug carriers as both the interior and exterior can be decorated for drug encapsulation and cell targeting. To provide surface functionalization, we added a SpyTag to E2 nanocages (ST-E2) to enable tunable decoration using the robust SpyCatcher bioconjugation strategy. Additionally, the E2 core was mutated with four phenylalanine substitutions for doxorubicin loading and pH-responsive release. By decorating the exterior with a highly cell-specific epidermal growth factor receptor (EGFR)-targeting protein conjugate, 4GE11-mCherry-SpyCatcher, we demonstrated targeted cell death in inflammatory breast cancer cells compared to healthy breast epithelial cells at concentrations below the IC50 of free doxorubicin.

Cell-targeted vaccines: implications for adaptive immunity.

Recent advancements in immunology and chemistry have facilitated advancements in targeted vaccine technology. Targeting specific cell types, tissue locations, or receptors can allow for modulation of the adaptive immune response to vaccines. This review provides an overview of cellular targets of vaccines, suggests methods of targeting and downstream effects on immune responses, and summarizes general trends in the literature. Understanding the relationships between vaccine targets and subsequent adaptive immune responses is critical for effective vaccine design. This knowledge could facilitate design of more effective, disease-specialized vaccines.