Immune Cell Composition Research Articles

Exploring anesthetic-induced gene expression changes and immune cell dynamics in atrial tissue post-coronary artery bypass graft surgery.

This study leverages the GSE4386 dataset, obtained from atrial tissue samples post-coronary artery bypass graft (CABG) surgery, to investigate the impact of anesthetic agents (sevoflurane and propofol) on gene expression and immune cell infiltration. Hierarchical clustering and box plots were employed for dataset preprocessing, highlighting a significant outlier (sample GSM99282), subsequently removed to ensure data integrity. Differentially expressed genes (DEGs) were identified using volcano plots based on specific log-fold-change and P-value thresholds. Additional analyses included the Friends approach, Spearman's correlation, and gene set enrichment analysis (GSEA), exploring functional annotations and pathways. Heatmaps and bubble plots depicted DEGs, revealing distinct expression patterns between the sevoflurane and propofol groups. Friends analysis identified top genes based on log fold changes, further correlated using Spearman's method. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses illustrated functional annotations of DEGs, while GSEA highlighted enriched biological categories. Immune cell infiltration analysis showcased varied cellular presence post-CABG. ESTIMATE algorithm scores demonstrated differences in immune, stroma, and estimate scores. Microenvironment Cell Populations-counter (MCPcounter) revealed an increased abundance of cytotoxic lymphocytes in the sevoflurane group, confirmed by a single sample GSEA. CIBERSORT algorithm identified distinct immune cell compositions, highlighting differences in macrophage M0 prevalence between sevoflurane and propofol groups. This comprehensive analysis provides insights into anesthetic-induced gene expression changes and immune cell dynamics in atrial tissue post-CABG surgery. The identified DEGs and immune cell compositions offer potential biomarkers and therapeutic targets for refining anesthetic strategies in cardiac surgeries.

Identification of immune-related biomarkers for intracerebral hemorrhage diagnosis based on RNA sequencing and machine learning.

Intracerebral hemorrhage (ICH) is a severe stroke subtype with high morbidity, disability, and mortality rates. Currently, no biomarkers for ICH are available for use in clinical practice. We aimed to explore the roles of RNAs in ICH pathogenesis and identify potential diagnostic biomarkers. We collected 233 individual blood samples from two independent cohorts, including 64 patients with ICH, 59 patients with ischemic stroke (IS), 60 patients with hypertension (HTN) and 50 healthy controls (CTRL) for RNA sequencing. Differentially expressed genes (DEGs) analysis, gene set enrichment analysis (GSEA), and weighted correlation network analysis (WGCNA) were performed to identify ICH-specific modules. The immune cell composition was evaluated with ImmuneCellAI. Multiple machine learning algorithms to select potential biomarkers for ICH diagnosis, and further validated by quantitative real-time polymerase chain reaction (RT-PCR). Receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA) were performed to evaluate the diagnostic value of the signature for ICH. Finally, we generated M1 and M2 macrophages to investigate the expression of candidate genes. In both cohorts, 519 mRNAs and 131 lncRNAs were consistently significantly differentially expressed between ICH patients and HTN controls. Gene function analysis suggested that immune system processes may be involved in ICH pathology. ImmuneCellAI analysis revealed that the abundances of 11 immune cell types were altered after ICH in both cohorts. WGCNA and GSEA identified 18 immune-related DEGs. Multiple algorithms identified an RNA panel (CKAP4, BCL6, TLR8) with high diagnostic value for discriminating ICH patients from HTN controls, CTRLs and IS patients (AUCs: 0.93, 0.95 and 0.82; sensitivities: 81.3%, 84.4% and 75%; specificities: 100%, 96% and 79.7%, respectively). Additionally, CKAP4 and TLR8 mRNA and protein levels decreased in RAW264.7 M1 macrophages and increased in RAW264.7 M2 macrophages, while BCL6 expression increased in M1 macrophages but not in M2 macrophages, which may provide potential therapeutic targets for ICH. This study demonstrated that the expression levels of lncRNAs and mRNAs are associated with ICH, and an RNA panel (CKAP4, BCL6, TLR8) was developed as a potential diagnostic tool for distinguishing ICH from IS and controls, which could provide useful insight into ICH diagnosis and pathogenesis.

Progression patterns in patients with advanced hepatocellular carcinoma treated with local therapy, targeted drugs, and PD-1/PD-L1 inhibitors.

To explore the progression patterns of advanced hepatocellular carcinoma (HCC) in patients treated with a combination of local therapies, targeted drugs, and PD-1/PD-L1 inhibitors. A retrospective study involving 86 patients with Barcelona Clinic Liver Cancer stage C HCC was conducted between August 2018 and April 2022. All patients received local therapy, targeted drugs, and PD-1/PD-L1 inhibitors. Disease progression was evaluated using computed tomography or magnetic resonance imaging after combination therapy. Peripheral blood immune cells were analyzed using flow cytometry. For intrahepatic progression, the median time to first progression was 5.3 months in 60 patients (95% confidence interval (CI): 2.3-7.1 months), and the median time to second progression was 9.3 months in 40 patients (95% CI: 4.8-11.8 months, p < 0.0001). For extrahepatic progression, the median time to first progression was 5.8 months in 61 patients (95% CI: 1.6-8.4 months), and the median time to second progression was 8.7 months in 39 patients (95% CI: 4.5-10.9 months, p < 0.0001). The common sites of extrahepatic progression are the lymph nodes and lungs. The percentages of PD-1+ cells gradually decreased after combination treatment but then gradually increased at follow-up in extrahepatic progression. The percentages of CD3+ T cells, CD3+CD4+ T cells, CD3+CD8+ T cells and CD16+CD56+ cells exhibited different trends in intrahepatic and extrahepatic progression. After combination treatment, patients with advanced HCC exhibit different characteristics of disease progression and composition of peripheral blood immune cells. Lymph nodes and lungs were the most susceptible sites for disease progression.

A comprehensive analysis of genes associated with hypoxia and cuproptosis in pulmonary arterial hypertension using machine learning methods and immune infiltration analysis: AHR is a key gene in the cuproptosis process.

Pulmonary arterial hypertension (PAH) is a serious condition characterized by elevated pulmonary artery pressure, leading to right heart failure and increased mortality. This study investigates the link between PAH and genes associated with hypoxia and cuproptosis. We utilized expression profiles and single-cell RNA-seq data of PAH from the GEO database and genecad. Genes related to cuproptosis and hypoxia were identified. After normalizing the data, differential gene expression was analyzed between PAH and control groups. We performed clustering analyses on cuproptosis-related genes and constructed a weighted gene co-expression network (WGCNA) to identify key genes linked to cuproptosis subtype scores. KEGG, GO, and DO enrichment analyses were conducted for hypoxia-related genes, and a protein-protein interaction (PPI) network was created using STRING. Immune cell composition differences were examined between groups. SingleR and Seurat were used for scRNA-seq data analysis, with PCA and t-SNE for dimensionality reduction. We analyzed hub gene expression across single-cell clusters and built a diagnostic model using LASSO and random forest, optimizing parameters with 10-fold cross-validation. A total of 113 combinations of 12 machine learning algorithms were employed to evaluate model accuracy. GSEA was utilized for pathway enrichment analysis of AHR and FAS, and a Nomogram was created to assess risk impact. We also analyzed the correlation between key genes and immune cell types using Spearman correlation. We identified several diagnostic genes for PAH linked to hypoxia and cuproptosis. PPI networks illustrated relationships among these hub genes, with immune infiltration analysis highlighting associations with monocytes, macrophages, and CD8 T cells. The genes AHR, FAS, and FGF2 emerged as key markers, forming a robust diagnostic model (NaiveBayes) with an AUC of 0.9. AHR, FAS, and FGF2 were identified as potential biomarkers for PAH, influencing cell proliferation and inflammatory responses, thereby offering new insights for PAH prevention and treatment.

Effects of Reishimmune-S, a Fungal Immunomodulatory Peptide Supplement, on the Quality of Life and Circulating Natural Killer Cell Profiles of Patients With Early Breast Cancer Receiving Adjuvant Endocrine Therapy.

To evaluate the effects of Reishimmune-S, a fungal immunomodulatory peptide, on the quality of life (QoL) and natural killer (NK) cell subpopulations in patients receiving adjuvant endocrine therapy (ET) for breast cancer (BC). Patients who received adjuvant ET for stage I-III hormone receptor-positive BC without active infection were enrolled in this prospective pilot study. Reishimmune-S was administered sublingually daily for 6 months. QoL scores, circulating immune cell levels, including lymphocyte/NK cell subpopulations, and plasma levels of interleukin (IL)-6 and tumor necrosis factor (TNF)-α were measured at baseline and every 4 weeks. Data were analyzed using linear mixed-effect regression models. Nineteen participants were included in the analyses. One patient with underlying asthma did not complete the study owing to the occurrence of skin rashes 15 days after the initiation of Reishimmune-S. No other adverse events were reported. Reishimmune-S supplementation significantly improved the cognitive function at 3 months and significantly decreased the fatigue and insomnia levels at 3 and 6 months, respectively. There was no significant change in the global health/QoL score between baseline and week 4 of treatment. The proportion of CD19+ lymphocytes was significantly higher at 3 and 6 months, and that of NKG2A+ and NKp30+ NK cells was significantly lower at 6 months than at baseline. In addition, fatigue positively correlated with the proportion of NKp30+ NK cells (β ± standard error: 24.48 ± 8.75, P = .007 in the mixed-effect model). Short-term supplementation with Reishimmune-S affected the circulating immune cell composition and exerted positive effects on cognitive function, fatigue, and insomnia in patients with BC undergoing adjuvant ET, providing a potential approach for the management of treatment-related adverse reactions in this patient population.

Characterisation of circulating tumor-associated and immune cells in patients with advanced-stage non-small cell lung cancer.

Globally, non-small cell lung cancer (NSCLC) is the most prevalent form of lung cancer and the leading cause of cancer-related deaths. Tumor-associated circulating cells in NSCLC can have a wide variety of morphological and phenotypic characteristics, including epithelial, immunological or hybrid subtypes. The distinctive characteristics and potential clinical significance of these cells in patients with NSCLC are explored in this study. We utilised a spiral microfluidic device toenrich large cells and cell aggregates from the peripheral blood samples of NSCLC patients. These cells were characterised through high-resolution immunofluorescent imaging and statistical analysis, correlating findings with clinical information from our patient cohort. We have identified varied populations of heterotypic circulating tumor cell clusters with differing immune cell composition that included a distinct class of atypical tumor-associated macrophages that exhibits unique morphology and cell size. This subtype's prevalence is positively correlated with the tumor stage, progression and metastasis. Our study reveals a heterogeneous landscape of circulating tumor cells and their clusters, underscoring the complexity of NSCLC pathobiology. The identification of a unique subtype of atypical tumor-associatedmacrophages that simultaneously express both tumor and immune markers and whose presence correlates with late disease stages, poor clinical outcomes and metastatic risk infers the potential of these cells as biomarkers for NSCLC staging and prognosis. Future studies should focus on the role of these cells in the tumor microenvironment and their potential as therapeutic targets. Additionally, longitudinal studies tracking these cell types through disease progression could provide further insights into their roles in NSCLC evolution and response to treatment.

Морфологические особенности эндометрия у пациенток с ожирением и ранними репродуктивными потерями

Aim. To clarify and summarize current data on the relationship between morphological features of gravid transformation of the endometrium and early reproductive losses in women with obesity. Key points. The growing prevalence of obesity worldwide is of serious concern not only due to numerous metabolic complications associated with excess visceral adipose tissue, but also due to reproductive dysfunction in women. Obesity is considered a key factor that increases several times the likelihood of pregnancy complications such as spontaneous abortion, non-viable pregnancy, stillbirth, gestational diabetes mellitus, and preeclampsia. The development of adverse events in the context of maternal obesity may be based on the interaction of biological processes associated with pregnancy and chronic inflammation caused by obesity. However, the causal relationship between BMI and spontaneous abortion is not fully understood, possibly due to the multifactorial effects of excess body weight on pregnancy progression. In addition, BMI as an isolated variable may not reflect other important health risk factors such as nutrition, physical activity, and insulin resistance. Conclusion. Female obesity is associated with worse natural and assisted conception outcomes, including an increased risk of spontaneous abortion. Low-grade inflammation affecting arterial remodeling, placentation, and uterine immune cell composition and activity in maternal obesity contributes to a high incidence of pregnancy complications. The development of a unified morphological panel that takes into account the main indicators of endometrial transformation processes with an assessment of its receptor profile and diagnostically significant immunological factors will allow verification of endometrial pathology at the molecular level and justification of pathogenetic therapy in the risk group of early reproductive losses in women with obesity. Keywords: gravid endometrium, obesity, reproductive function, reproductive losses, miscarriage.

Potential Perturbations of Critical Cancer-regulatory Genes in Triple-Negative Breast Cancer Cells Within the Humanized Microenvironment of Patient-derived Xenograft Models.

In this study, we aimed to establish humanized patient-derived xenograft (PDX) models for triple-negative breast cancer (TNBC) using cord blood (CB) hematopoietic stem cells (HSCs). Additionally, we attempted to characterize the immune microenvironment of the humanized PDX model to understand the potential implications of altered tumor-immune interactions in the humanized PDX model on the behavior of TNBC cells. To establish a humanized mouse model, high-purity CD34+ HSCs from CB were transplanted into immunodeficient NOD scid γ mice. Peripheral and intratumoral immune cell compositions of humanized and non-humanized mice were compared. Additionally, RNA sequencing of the tumor tissues was performed to characterize the gene expression features associated with humanization. After transplanting the CD34+ HSCs, CD45+ human immune cells appeared within five weeks. A humanized mouse model showed viable human immune cells in the peripheral blood, lymphoid organs, and in the tumor microenvironment. Humanized TNBC PDX models showed varying rates of tumor growth compared to that of non-humanized mice. RNA sequencing of the tumor tissue showed significant alterations in tumor tissues from the humanized models. tumor necrosis factor receptor superfamily member 11B (TNFRSF11B) is a shared downregulated gene in tumor tissues from humanized models. Silencing of TNFRSF11B in TNBC cell lines significantly reduced cell proliferation, migration, and invasion in vitro. Additionally, TNFRSF11B silenced cells showed decreased tumorigenicity and metastatic capacity in vivo. Humanized PDX models successfully recreated tumor-immune interactions in TNBC. TNFRSF11B, a commonly downregulated gene in humanized PDX models, may play a key role in tumor growth and metastasis. Differential tumor growth rates and gene expression patterns highlighted the complexities of the immune response in the tumor microenvironment of humanized PDX models.

Analysis of macrophage polarization and regulation characteristics in ovarian tissues of polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) can lead to infertility and increase the risk of endometrial cancer. Analyzing the macrophage polarization characteristics in ovarian tissues of PCOS is crucial for clinical treatment. We obtained 13 PCOS and nine control ovarian samples from the CEO database and analyzed differentially expressed genes (DEGs). Macrophage polarization-related genes (MPRGs) were sourced from the GeneCards and MSigDB databases. Intersection of DEGs with MPRGs identified DEGs associated with macrophage polarization (MPRDEGs). Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Protein-protein interaction (PPI) Network analysis were conducted on MPRDEGs. Moreover, the top 10 genes from three algorithms were identified as the hub genes of MPRGs. In addition, miRNAs, transcription factors (TFs), and drugs were retrieved from relevant databases for regulatory network analysis of mRNA-miRNA, mRNA-TF, and mRNA-Drug interactions. Immune cell composition analysis between the PCOS and control groups was performed using the CIBERSORT algorithm to calculate correlations across 22 immune cell types. A total of 13 PCOS samples and nine control ovarian samples were obtained in this study. We identified 714 DEGs between the two groups, with 394 up-regulated and 320 down-regulated. Additionally, we identified 774 MPRGs, from which we derived 30 MPRDEGs by intersecting with DEGs, among which 21 exhibited interaction relationships. GO and KEGG analyses revealed the enrichment of MPRDEGs in five biological processes, five cell components, five molecular functions, and three biological pathways. Immune infiltration analysis indicated a strong positive correlation between activated nature killer (NK) cells and memory B cells, while neutrophils and monocytes showed the strongest negative correlation. Further investigation of MPRDEGs identified nine hub genes associated with 41 TFs, 82 miRNAs, and 44 drugs or molecular compounds. Additionally, qRT-PCR results demonstrated overexpression of the CD163, TREM1, and TREM2 genes in ovarian tissues from the PCOS group. This study elucidated the polarization status and regulatory characteristics of macrophages in ovarian tissues of the PCOS subjects, confirming significant overexpression of CD163, TREM1, and TREM2. These findings contribute to a deeper understanding of the pathogenesis of PCOS.

Intratumoral administration of the immunologic adjuvant AS01B in combination with autologous CD1c (BDCA-1)+/CD141 (BDCA-3)+ myeloid dendritic cells plus ipilimumab and intravenous nivolumab in patients with refractory advanced melanoma

BackgroundPatients with advanced melanoma who progress after treatment with immune checkpoint-inhibitors (ICI) and BRAF-/MEK-inhibitors (if BRAFV600 mutated) have no remaining effective treatment options. The presence of CD1c (BDCA-1)+ and CD141...

B-cell infiltration is associated with survival outcomes following programmed cell death protein 1 inhibition in head and neck squamous cell carcinoma

Programmed cell death protein 1 (PD-1) axis blockade has become the mainstay in the treatment of recurrent and/or metastatic (R/M) head and neck squamous cell cancer (HNSCC). Programmed death-ligand 1 (PD-L1) is the only approved biomarker for patient selection; however, response rate is limited even among high expressors. Our primary objective was to investigate the association of immune cell-related biomarkers in the tumor and tumor microenvironment with PD-1 checkpoint inhibitors' outcomes in patients with R/M HNSCC. NCT03652142 was a prospective study in nivolumab-treated platinum-refractory R/M HNSCC, aiming to evaluate biomarkers of response to treatment. Tumor biopsies and blood samples were collected from 60 patients at baseline, post-treatment, and at progression. Immune cells in the tumor and stromal compartments were quantified by immunofluorescence using a five-protein panel (CD3, CD8, CD20, FoxP3, cytokeratin). Tertiary lymphoid structures (TLSs), PD-L1 expression, and peripheral blood immune cell composition were also evaluated for associations with outcome. Our findings were validated by gene set enrichment analysis (GSEA) messenger RNA in situ expression data from the same patients, for B-cell- and TLS-associated genes. High pre-treatment density of stromal B cells was associated with prolonged progression-free survival (PFS) (P= 0.011). This result was validated by GSEA, as stromal enrichment with B-cell-associated genes showed association with response to nivolumab. PD-L1 positivity combined with high B-cell counts in stroma defined a subgroup with significantly longer PFS and overall survival (P= 0.013 and P= 0.0028, respectively). Increased B cells in pre-treatment HNSCC biopsy samples correlate with prolonged benefit from PD-1-based immunotherapy and could further enhance the predictive value of PD-L1 expression.

Deciphering the role of immune cell composition in epigenetic age acceleration: Insights from cell-type deconvolution applied to human blood epigenetic clocks.

Aging is a significant risk factor for various human disorders, and DNA methylation clocks have emerged as powerful tools for estimating biological age and predicting health-related outcomes. Methylation data from blood DNA has been a focus of more recently developed DNA methylation clocks. However, the impact of immune cell composition on epigenetic age acceleration (EAA) remains unclear as only some clocks incorporate partial cell type composition information when analyzing EAA. We investigated associations of 12 immune cell types measured by cell-type deconvolution with EAA predicted by six widely-used DNA methylation clocks in data from >10,000 blood samples. We observed significant associations of immune cell composition with EAA for all six clocks tested. Across the clocks, nine or more of the 12 cell types tested exhibited significant associations with EAA. Higher memory lymphocyte subtype proportions were associated with increased EAA, and naïve lymphocyte subtypes were associated with decreased EAA. To demonstrate the potential confounding of EAA by immune cell composition, we applied EAA in rheumatoid arthritis. Our research maps immune cell type contributions to EAA in human blood and offers opportunities to adjust for immune cell composition in EAA studies to a significantly more granular level. Understanding associations of EAA with immune profiles has implications for the interpretation of epigenetic age and its relevance in aging and disease research. Our detailed map of immune cell type contributions serves as a resource for studies utilizing epigenetic clocks across diverse research fields, including aging-related diseases, precision medicine, and therapeutic interventions.

EPIGENETIC AGE ACCELERATION AND IMMUNE CELL COUNT: A TWIN STUDY

Abstract Accelerated aging, as measured by epigenetic clocks, is associated with declines in immune system functioning. Investigating the causal basis of this association may provide mechanistic insight into the link between DNA methylation, on which epigenetic clocks are based, and age-related changes in immune cell composition. Using preliminary data from the Louisville Twin Study, this study examined the genetic and environmental sources of covariation between immune cell count (neutrophils, lymphocytes) and GrimAge Acceleration. GrimAge is a composite biomarker derived from 7 DNA methylation-based surrogates associated with mortality and smoking pack years. GrimAge Acceleration is the residual of GrimAge regressed onto chronological age. Participants consisted of 43 monozygotic twin pairs and 30 (18 same-sex) dizygotic twin pairs with a mean age of 54.5 years (sd = 5.27). Phenotypic analyses revealed that GrimAge Acceleration was significantly associated with neutrophil and lymphocyte count (r = 0.45 and -0.49, respectively). To examine the sources of covariation between these variables, biometric regression models were used to decompose the covariance between GrimAge Acceleration and neutrophils (and lymphocytes) into genetic and environmental components. Bivariate analyses revealed moderate, marginally significant genetic correlations between GrimAge Acceleration and immune cell count (rg = 0.32 and -0.38 for neutrophils and lymphocytes, respectively) and large, significant nonshared environmental correlations (re = .58 and -.54 for neutrophils and lymphocytes, respectively). Common genetic factors accounted for 39% of the phenotypic correlation in neutrophils and 43% in lymphocytes, whereas common nonshared environmental factors accounted for 61% and 57% of the correlation in these cell types, respectively.

The Immunological Basis for Vaccination.

Vaccination is crucial for health protection of poultry and therefore important to maintaining high production standards. Proper vaccination requires knowledge of the key players of the well-orchestrated immune system of birds, their interdependence and delicate regulation, and, subsequently, possible modes of stimulation through vaccine antigens and adjuvants. The knowledge about the innate and acquired immune systems of birds has increased significantly during the recent years but open questions remain and have to be elucidated further. Despite similarities between avian and mammalian species in their composition of immune cells and modes of activation, important differences exist, including differences in the innate, but also humoral and cell-mediated immunity with respect to, for example, signaling transduction pathways, antigen presentation, and cell repertoires. For a successful vaccination strategy in birds it always has to be considered that genotype and age of the birds at the time point of immunization as well as their microbiota composition may have an impact and may drive the immune reactions into different directions. Recent achievements in the understanding of the concept of trained immunity will contribute to the advancement of current vaccine types helping to improve protection beyond the specificity of an antigen-driven immune response. The fast developments in new omics technologies will provide insights into protective B- and T-cell epitopes involved in cross-protection, which subsequently will lead to the improvement of vaccine efficacy in poultry.

Characteristics of blood immune cell profile and their correlation with disease progression in patients infected with HIV-1

BackgroundAntiretroviral therapy (ART) can reduce viral load in individuals infected with human immunodeficiency virus (HIV); however, some HIV-infected individuals still cannot achieve optimal immune recovery even after ART. Hence, we described the profile of peripheral immune cells and explored the association with disease progression in patients infected with HIV-1.MethodsMass cytometry analysis was used to characterize the circulating immune cells of 20 treatment-naïve (TNs), 20 immunological non-responders (INRs), 20 immunological responders (IRs), and 10 healthy controls (HCs). Correlation analysis was conducted between cell subpopulation percentages and indicators including HIV-1 cell-associated (CA)-RNA, DNA, CD4+ T cell count, and CD4/CD8 ratio.ResultsGlobal activation, immunosenescence, and exhaustion phenotypes were observed in myeloid cells and T cells from individuals with HIV-1 infection. We also found that specific subsets or clusters of myeloid, CD4+ T, and CD8+ T cells were significantly lost or increased in TN individuals, which could be partially restored after receiving ART. The percentages of several subpopulations correlated with HIV-1 CA-RNA, DNA, CD4+ T cell count, and CD4/CD8 ratio, suggesting that changes in immune cell composition were associated with therapeutic efficacy.ConclusionThese data provide a complete profile of immune cell subpopulations or clusters that are associated with disease progression during chronic HIV-1 infection, which will improve understanding regarding the mechanism of incomplete immune recovery in INRs.

Inflammation in the pathogenesis of neurodegenerative diseases

INTRODUCTION: Neurodegenerative diseases are common chronic disorders that are associated with progressive damage to the nervous system. The role of the immune system in the development of neurodegenerative diseases was confirmed by data on the activation of microglia, the presence of an imbalance in the composition and phenotype of peripheral immune cells, and the presence of humoral immunity disorders and intestinal microbiota dysbiosis in patients with this pathology. DISCUSSION: Inflammation has been observed to play a key role in the pathogenesis of diseases associated with progressive damage to the nervous system. The article analyzes the mechanisms in the development of “subclinical” chronic inflammation that leads to development of old-age-related diseases, including neurodegenerative pathology. At least three groups of factors associated with old age play a role in the formation of a proinflammatory status: mitochondrial dysfunction, development of an age-related proinflammatory status of the immune system, and chronic stress. Mitochondrial dysfunction is primarily associated with disruption of mitophagy processes: failure of quality control mechanisms as a result of disruption of mitophagy processes leads to the accumulation of terminally damaged mitochondria, which become a threat to cell survival. Inadequate removal of damaged mitochondria leads to hyperactivation of inflammatory signaling pathways and subsequently to chronic systemic inflammation and the development of inflammatory diseases. A high level of deletions in the mitochondrial genetic apparatus that accumulates with age inevitably leads to increased formation of reactive oxygen species, which in turn are assumed as one of the leading activators of the cytosolic NLRP3 protein, the primary component of inflammasomes. Increased inflammasome formation eventually leads to caspase-1-dependent production of proinflammatory interleukins. Age-related inflammatory imbalance is associated with the fact that the immune system, the main protective mechanism characterized by the inflammatory response, copes with constant antigenic attacks. However, over time, upon reaching a certain threshold, the reaction of the immune system becomes excessive, characterized by increased production of coagulation factors, proinflammatory cytokines, acute phase proteins of inflammation, prostaglandins, and leukotrienes. CONCLUSIONS: Immunological changes that develop during chronic (long-term) stress are the result of a disruption of the homeostatic connection between the neuroendocrine and immune systems, leading to the formation of an inflammatory background that complements the “proinflammatory status” that develops as a result of age-related changes in the immune system and disruption of mitophagy mechanisms.

Oral dydrogesterone versus micronized vaginal progesterone for luteal phase support: a double-blind crossover study investigating pharmacokinetics and impact on the endometrium.

Oral dydrogesterone versus micronized vaginal progesterone for luteal phase support: a double-blind crossover study investigating pharmacokinetics and impact on the endometrium.

Endometrial NK cells in repeated implantation failure – quantity and functional markers

BACKGROUND: Alteration in the composition and function of endometrial immune cells, in particular NK cells, are associated with implantation and placentation pathology, which is considered as one of the causes of reproductive losses. However, data regarding abnormalities in the number and activity of NK cells in repeated implantation failures, including depending on the type of infertility, remain ambiguous.&#x0D; AIM: The aim of this study was to evaluate the number of CD56+ and CD16+ cells and the area of expression of CD107a and NKG2D markers in the endometrium of patients with repeated implantation failure (RIF).&#x0D; MATERIALS AND METHODS: This prospective comparative study included patients with RIF (main group I, n = 47), who were divided into two subgroups: Ia, patients with primary infertility (n = 29); Ib, patients with secondary infertility (n = 18). Comparison group II included patients with a history of effective ART programs (n = 17). Control group III included healthy fertile women without a history of reproductive loss (n = 12). Endometrial biopsies were obtained on days 19–23 of the menstrual cycle. The expression of CD56+, CD16+, CD107a and NKG2D was assessed by immunohistochemistry.&#x0D; RESULTS: In the endometrium of patients in groups I and II, as compared to the control group, the number of CD56+ cells was significantly increased (p 0.001). In patients of subgroup Ia, when compared to the control group, we verified an increase in the number of CD16+ cells (p 0.05) and a decrease in the expression of CD107a (p 0.05). In patients in groups I and II, a negative correlation was revealed between the number of CD56+ and CD16+ cells and the number of pregnancies in history (rs = –0.30 and rs = –0.34, p 0.05), while a positive correlation was found between the expressions of CD56+ and CD107a (rs = 0.66 and rs = 0.75, p 0.05). In patients in group II, a positive correlation was revealed between the expressions of CD16+ and CD107a (rs = 0.75, p 0.05). In the endometrial stroma, CD107a expression increased significantly in patients in group I (p 0.05), while NKG2D expression increased in groups II and III (p 0.01, p 0.05) from the early to the middle stage of the secretion phase. In patients of group II, a positive correlation was established between the expressions of CD56+ and NKG2D (rs = 0.68, p 0.05).&#x0D; CONCLUSIONS: In the endometrium of patients with primary infertility and RIF, the number of CD56+ and CD16+ cells is increased with a decrease in the expression of their activation marker CD107a, which may be a potential mechanism for impaired implantation. Further studies of the immune profile of the endometrium may help to personalize diagnostic and therapeutic approaches to management of patients with RIF and to increase the chances of pregnancy in ART programs.

Circulating cytotoxic immune cell composition, activation status and toxins expression associate with white matter microstructure in bipolar disorder

Patients with bipolar disorder (BD) show higher immuno-inflammatory setpoints, with in vivo alterations in white matter (WM) microstructure and post-mortem infiltration of T cells in the brain. Cytotoxic CD8+ T cells can enter and damage the brain in inflammatory disorders, but little is known in BD. Our study aimed to investigate the relationship between cytotoxic T cells and WM alterations in BD. In a sample of 83 inpatients with BD in an active phase of illness (68 depressive, 15 manic), we performed flow cytometry immunophenotyping to investigate frequencies, activation status, and expression of cytotoxic markers in CD8+ and tested for their association with diffusion tensor imaging (DTI) measures of WM microstructure. Frequencies of naïve and activated CD8+ cell populations expressing Perforin, or both Perforin and Granzyme, negatively associated with WM microstructure. CD8+ Naïve cells negative for Granzyme and Perforin positively associates with indexes of WM integrity, while the frequency of CD8+ memory cells negatively associates with index of WM microstructure, irrespective of toxins expression. The resulting associations involve measures representative of orientational coherence and myelination of the fibers (FA and RD), suggesting disrupted oligodendrocyte-mediated myelination. These findings seems to support the hypothesis that immunosenescence (less naïve, more memory T cells) can detrimentally influence WM microstructure in BD and that peripheral CD8+ T cells may participate in inducing an immune-related WM damage in BD mediated by killer proteins.

Single-cell RNA sequencing reveals the immune microenvironment landscape of osteosarcoma before and after chemotherapy

Chemotherapy, a primary treatment for osteosarcoma (OS), has limited knowledge regarding its impact on tumor immune microenvironment (TIME). Here, tissues from 6 chemotherapy-naive OS patients underwent single-cell RNA sequencing (scRNA-seq) and were analyzed alongside public dataset (GSE152048) containing 7 post-chemotherapy OS tissues. CD45+ (PTPRC+) cells were used for cell clustering and annotation. Changes in immune cell composition pre- and post-chemotherapy were characterized. Totally, 28,636 high-quality CD45+ (PTPRC+) cells were extracted. Following chemotherapy, the proportions of regulatory T cells (Tregs) and activated CD8 T cells decreased, while CD8 effector T cells increased. GO analysis indicated that differentially expressed genes (DEGs) in T cells were associated with cell activation, adaptive immune response, and immune response to tumor cells. Furthermore, the proportions of plasma cells increased, while naive B cells decreased. B cell surface receptors expression was upregulated, and GO analysis revealed DEGs of B cells were mainly enriched in B cell-mediated immunity and B cell activation. Moreover, M2 polarization of macrophages was suppressed post-chemotherapy. Overall, this study elucidates chemotherapy remodels the OS TIME landscape, triggering immune heterogeneity and enhancing anti-tumor properties.