Expression of hormone receptors is associated with specific immunological profiles of the breast cancer microenvironment.

BACKGROUND: Elucidating the unique immunoregulatory mechanisms in breast cancer microenvironment may help develop new therapeutic strategies. Some studies have suggested that hormone receptors also have immune regulatory functions, but their mechanisms are not fully understood. In this study, we have comprehensively analyzed the relationship between the expressions of estrogen (ER), progesterone (PgR), and androgen receptors (AR), and the immunological profile in breast cancer. METHODS: Using publicly available gene expression profile datasets, METABRIC and SCAN-B, the associations between the expressions of hormone receptors and the immune cell compositions in breast cancer tissue, estimated by CIBERSORTx algorithm, were analyzed. We histologically evaluated tumor-infiltrating lymphocytes (hTIL), PD-L1 (hPD-L1) expression, and the infiltration of 11 types of immune cells by flow cytometry (FCM) for 45 breast cancer tissue samples. The relationships between them and the expressions of ER, PgR, and AR of tumor tissues, evaluated immunohistochemically, were analyzed. RESULTS: Expressions of ESR1, PGR, and AR were negatively correlated with overall immune composition. Expressions of ER and AR, but not that of PgR, were inversely associated with hTIL and hPD-L1 expression. FCM analysis showed that the expressions of ER and AR, but not that of PgR, were associated with decreased total leukocyte infiltration. Both CIBERSORTx and FCM analysis showed that ER expression was associated with reduced infiltration of macrophages and CD4+ T cells and that of AR with reduced macrophage infiltration. CONCLUSION: Hormone receptor expression correlates with specific immunological profiles in the breast cancer microenvironment both at the gene and protein expression levels.

Highly Multiplexed Image Analysis of Intestinal Tissue Sections in Patients With Inflammatory Bowel Disease.

BACKGROUND & AIMS: Significant progress has been made since the first report of inflammatory bowel disease (IBD) in 1859, after decades of research that have contributed to the understanding of the genetic and environmental factors involved in IBD pathogenesis. Today, a range of treatments is available for directed therapy, mostly targeting the overactive immune response. However, the mechanisms by which the immune system contributes to disease pathogenesis and progression are not fully understood. One challenge hindering IBD research is the heterogeneous nature of the disease and the lack of understanding of how immune cells interact with one another in the gut mucosa. Introduction of a technology that enables expansive characterization of the inflammatory environment of human IBD tissues may address this gap in knowledge. METHODS: We used the imaging mass cytometry platform to perform highly multiplex image analysis of IBD and healthy deidentified intestine sections (6 Crohn's disease compared to 6 control ileum; 6 ulcerative colitis compared to 6 control colon). The acquired images were graded for inflammation severity by analysis of adjacent H&E tissue sections. We assigned more than 300,000 cells to unique cell types and performed analyses of tissue integrity, epithelial activity, and immune cell composition. RESULTS: The intestinal epithelia of patients with IBD exhibited increased proliferation rates and expression of HLA-DR compared to control tissues, and both features were positively correlated with the severity of inflammation. The neighborhood analysis determined enrichment of regulatory T cell interactions with CD68+ macrophages, CD4+ T cells, and plasma cells in both forms of IBD, whereas activated lysozyme C+ macrophages were preferred regulatory T cell neighbors in Crohn's disease but not ulcerative colitis. CONCLUSIONS: Altogether, our study shows the power of imaging mass cytometry and its ability to both quantify immune cell types and characterize their spatial interactions within the inflammatory environment by a single analysis platform.

Continuous immunotypes describe human immune variation and predict diverse responses.

The immune system consists of many specialized cell populations that communicate with each other to achieve systemic immune responses. Our analyses of various measured immune cell population frequencies in healthy humans and their responses to diverse stimuli show that human immune variation is continuous in nature, rather than characterized by discrete groups of similar individuals. We show that the same three key combinations of immune cell population frequencies can define an individual's immunotype and predict a diverse set of functional responses to cytokine stimulation. We find that, even though interindividual variations in specific cell population frequencies can be large, unrelated individuals of younger age have more homogeneous immunotypes than older individuals. Across age groups, cytomegalovirus seropositive individuals displayed immunotypes characteristic of older individuals. The conceptual framework for defining immunotypes suggested by our results could guide the development of better therapies that appropriately modulate collective immunotypes, rather than individual immune components.

Gender-related differences observed among immune cells in synovial fluid in knee osteoarthritis.

OBJECTIVE: There is no existing comprehensive report on the cellular composition of synovial fluids (SFs) from knee osteoarthritis (OA). We therefore aimed to characterise the immune cell composition in SFs from knee OA (KOA) and in subgroups according to gender. DESIGN: The immunophenotyping of monocyte/macrophage lineage cells, T and B cells, NK cells, neutrophils, dendritic and mast cells (MC) present in SFs from 53 patients (24 males/29 females) with KOA was performed using 6-colour flow cytometry. RESULTS: SFs from patients with OA contained 90% hematopoietic cells. Lymphocytes were the predominant cell population (44.8%) in the SFs of OA patients, with CD4+ T lymphocytes being more prevalent than CD8+ T cells (CD4+/CD8+ ratio = 1.3). Within the monocyte/macrophage lineage gating, monocytes accounted for 33.9%, macrophages 14.8%, myeloid dendritic cells 16.4%. The rest of the hematopoietic cells were comprised of neutrophils (8%), NK cells (3.8%), T regulatory cells (1.2%), plasmacytoid dendritic cells (1.1%), mast cells (0.3%). In OA females, a higher percentage of CD4+ T cells (P = 0.023), macrophages (P = 0.012), and a lower percentage of monocytes (P = 0.008) and CD8+ T cells (P = 0.002) were detected in comparison to OA males. CONCLUSIONS: Based on the immune cell composition of SFs, data mining analysis revealed distinct phenotypes (monocyte- and lymphocyte-predominant) within each gender group. This first study on the cellular complexity of SFs in KOA showed marked differences between male and female patients. The findings give a rational starting point for patient stratification according to their phenotypes, as is required for phenotype-specific treatment strategies.

The impact of donor characteristics on the immune cell composition of second allografts in Chinese people.

BACKGROUND: The association of the donor characteristics with the immune cell composition in second allografts remains poorly understood. In this study, we investigated retrospectively the effects of the donor characteristics on the immune cell composition in second allografts. STUDY DESIGN AND METHODS: The immune cell composition in second allografts of granulocyte colony-stimulating factor (G-CSF) mobilized peripheral blood harvests from 100 healthy donors (male, 47, female, 53; median age, 39 years old) who underwent a second-time donation were correlated with their donor characteristics. RESULTS: The median counts of CD3(+) T cells, CD4(+) T cells, CD8(+) T cells, CD3(+) CD4(-) CD8(-) T cells and monocytes in allografts were 150·17 × 10(6) /kg, 82·57 × 10(6) /kg, 48·02 × 10(6) /kg and 24·97 × 10(6) /kg, respectively. Multivariate analysis showed that the number of lymphocytes and platelets pre-first collection of G-CSF mobilized blood (FM) was strongly associated with the number of total lymphocytes (for lymphocytes, P = 0·003; for platelets, P = 0·012), CD3(+) T cells (for lymphocytes, P = 0·009; for platelets, P = 0·004) and CD3(+) CD4(+) T cells (for lymphocytes, P = 0·035; for platelets, P = 0·004) in the second allograft. The donor's BMI was negatively related to the number of CD3(+) T cells (P = 0·022) and CD3(+) CD4(+) T cells (P = 0·026) in the second allograft. The donor weight was negatively associated with the number of CD3(+) CD4(-) CD8(-) T cells (P = 0·015) in the second allograft, while the pre-FM white blood cell count showed a positive correlation (P = 0·009). CONCLUSION: The results demonstrate the impact of the donor characteristics, including pre-FM platelet count and lymphocyte count, donor BMI and weight, on the immune cell composition in the second allograft.

Optimization of Tissue Digestion Methods for Characterization of Photoaged Skin by Single Cell RNA Sequencing Reveals Preferential Enrichment of T Cell Subsets.

Healthy human skin tissue is often used as a control for comparison to diseased skin in patients with skin pathologies, including skin cancers or other inflammatory conditions such as atopic dermatitis or psoriasis. Although non-affected skin from these patients is a more appropriate choice for comparison, there is a paucity of studies examining such tissue. This lack is exacerbated by the difficulty of processing skin tissue for experimental analysis. In addition, choosing a processing protocol for skin tissue which preserves cell viability and identity while sufficiently dissociating cells for single-cell analysis is not a trivial task. Here, we compare three digestion methods for human skin tissue, evaluating the cell yield and viability for each protocol. We find that the use of a sequential dissociation method with multiple enzymatic digestion steps produces the highest cell viability. Using single-cell sequencing, we show this method results in a relative increase in the proportion of non-antigen-presenting mast cells and CD8 T cells as well as a relative decrease in the proportion of antigen-presenting mast cells and KYNU+ CD4 T cells. Overall, our findings support the use of this sequential digestion method on freshly processed human skin samples for optimal cell yield and viability.

Associations between telomere length, glucocorticoid receptor gene DNA methylation, volume of stress-related brain structures, and academic performance in middle-school-age children.

Background: The biological embedding theory posits that early life experiences can lead to enduring physiological and molecular changes impacting various life outcomes, notably academic performance. Studying previously revealed and objective biomarkers of early life stress exposure, such as telomere length (TL), glucocorticoid receptor gene DNA methylation (DNAme), and the volume of brain structures involved in the regulation of HPA axis functioning (the hippocampus, the amygdala, and the medial prefrontal cortex), in relation to academic performance is crucial. This approach provides an objective measure that surpasses the limitations of self-reported early life adversity and reveals potential molecular and neurological targets for interventions to enhance academic outcomes. Methods: The participants were 52 children of Mexican or Central American origin aged 11.6-15.6 years. DNA methylation levels and TL were analyzed in three cell sources: saliva, whole blood, and T cells derived from whole blood. Results: Overall, the concordance across three systems of stress-related biomarkers (TL, DNAme, and the brain) was observed to some extent, although it was less pronounced than we expected; no consistency in different cell sources was revealed. Each of the academic domains that we studied was characterized by a unique and distinct complex of associations with biomarkers, both in terms of the type of biomarker, the directionality of the observed effects, and the cell source of biomarkers. Furthermore, there were biomarker-by-sex interaction effects in predicting academic performance measures. Conclusions: Assessed in an understudied youth sample, these preliminary data present new essential evidence for a deepened understanding of the biological mechanisms behind associations between exposure to early life stress and academic performance.

Immune Cell Alterations and PI3K-PKB Pathway Suppression in Patients with Allergic Rhinitis Undergoing Sublingual Immunotherapy.

INTRODUCTION: Our prior clinical study assessed the efficacy and safety of sublingual immunotherapy (SLIT) with standardized Dermatophagoides farina drops on patients with allergic rhinitis (AR) while analyzing the characteristics of adverse reactions. This study was conducted to evaluate the immune cell composition alterations in AR patients before and after SLIT, and to comprehensively investigate the role and changes of antigen-specific immune cells associated with treatment efficacy. METHODS: A total of 68 AR patients who completed 12 months of SLIT were included in the study. Before the trial's initiation and after 1 year of SLIT, 10 ml of venous blood was collected. Peripheral blood mononuclear cells were isolated using the Ficoll gradient method. The mRNA transcriptome was analyzed using an Affymetrix microarray. The proportions of 22 immune cell types were calculated via the CIBERSORTx platform. Correlations between each immune cell type and SLIT were analyzed. PI3K-PKB pathway dysregulation were analyzed using quantitative PCR and Western blot. Flow cytometry was utilized to assess the percentages of Th1 and Th2 cells. RESULTS: Mono-sensitized AR patients exhibited marked increases in plasma cells, activated memory T cells, regulatory T cells, and activated dendritic cells, while experiencing decreased neutrophils and resting dendritic cells. In poly-sensitized AR patients, the most notable change was an increase in regulatory T cells, coupled with decreased T follicular helper cells, resting dendritic cells, and activated mast cells. These findings indicated that SLIT reshaped immune cell profiles in AR patients, and, notably, the specific changes differed between mono-sensitized and poly-sensitized individuals. Furthermore, SLIT appeared to shift the immune response towards a Th2 decrease profile in both groups. Importantly, suppression of the PI3K-PKB pathway was evidenced as inhibition of PKB phosphorylation and the decrease of glycogen synthase kinase 3 ß (GSKß) and mammalian target of rapamycin (mTOR) expression after SLIT. CONCLUSION: Our study has demonstrated that SLIT treatment led to distinct changes in immune cell profiles between mono-sensitized and poly-sensitized AR patients. Furthermore, SLIT appeared to reduce a Th2 immune response, highlighting its efficacy in AR treatment. Importantly, the study revealed the suppression of the PI3K-PKB pathway, shedding light on the immunological mechanisms underlying SLIT's effectiveness.

Association of immune cell composition with the risk factors and incidence of acute coronary syndrome.

BACKGROUND: Although immune cells are involved in acute coronary syndrome (ACS), few studies have explored the association of incident ACS with the relative immune cell proportions. We aimed to investigate the association of immune cell proportions with the incidence and risk factors of ACS in the Dongfeng-Tongji cohort. METHODS: We conducted the analyses with 38,295 subjects from the first follow-up of the Dongfeng-Tongji cohort, including DNA methylation profiles for 1570 individuals. The proportions of immune cell types were observed from routine blood tests or estimated from DNA methylation profiles. For both observed and estimated immune cell proportions, we tested their associations with risk factors of ACS by multivariable linear regression models. In addition, the association of each immune cell proportion with incident ACS was assessed by the Cox regression model and conditional logistic regression model, respectively, adjusting for the risk factors of ACS. FINDINGS: The proportions of lymphocytes, monocytes, and neutrophils showed strong associations with sex, followed by diabetes. Moreover, sex and current smoking were the two factors with strongest association with the proportions of lymphocyte subtypes. The hazard ratio (HR) and 95% confidence interval (CI) of incident ACS per standard deviation (SD) increase in proportions of lymphocytes and neutrophils were 0.91 (0.85-0.96) and 1.10 (1.03-1.16), respectively. Furthermore, the OR (95% CI) of incident ACS per SD increase in proportions of NK cells, CD4+ T cells, and B cells were 0.88 (0.78-0.99), 1.15 (1.03-1.30), and 1.13 (1.00-1.26), respectively. INTERPRETATION: The proportions of immune cells were associated with several risk factors of ACS, including sex, diabetes, and current smoking. In addition, proportion of neutrophils had a risk effect, while proportion of lymphocytes had a protective effect on the incidence of ACS. The protective effect of lymphocytes was probably driven by NK cells.

Peripheral autoreactive CD8 T-cell frequencies are too variable to be a reliable predictor of disease progression of human type 1 diabetes.

OBJECTIVES: The detection of a peripheral immune cell signature that specifically reflects autoimmunity in type 1 diabetes would enable the prediction and staging of disease on an individual basis. However, defining such a signature is technically challenging. Reliable interpretation of immune cell-related biomarkers depends on their inherent variability and, to understand this variability, longitudinal analyses are required. METHODS: We performed a longitudinal observational study in which 40 individuals with elevated genetic risk of type 1 diabetes and persistent islet autoantibodies provided a blood sample every 4-6 weeks for > 1 year. RESULTS: Peripheral immune cell composition (T cells, NK cells and monocytes) was assessed using well-validated flow cytometry panels and demonstrated that, while non-antigen-specific immune cell subsets were stable over time, autoantigen-reactive T-cell frequencies were highly variable in and between individuals. Neither the frequency nor phenotype of non-antigen-specific subsets or autoreactive CD8+ T cells associated with clinical onset of T1D. CONCLUSION: The findings from the Type 1 Diabetes Longitudinal BIomarker Trial underscore the inherent challenge of evaluating changes in peripheral immune cell populations as surrogates of organ-specific disease activity. The variability of peripheral antigen-specific T cells precludes their use as a prognostic marker and clearly demonstrates that a reliable prognostic cell signature remains elusive.

Dysregulation of SAA1, TUBA8 and Monocytes Are Key Factors in Ankylosing Spondylitis With Femoral Head Necrosis.

Introduction: The mechanism of ankylosing spondylitis with femoral head necrosis is unknown, and our study aimed investigate the effects of genetic and immune cell dysregulation on ankylosing spondylitis. Materials and Methods: The protein expression of all ligaments in ankylosing spondylitis with femoral head necrosis was obtained using label-free quantification protein park analysis of six pairs of specimens. The possible pathogenesis was explored using differential protein analysis, weighted gene co-expression network analysis, recording intersections with hypoxia-related genes, immune cell correlation analysis, and drug sensitivity analysis. Finally, routine blood test data from 502 AS and 162 healthy controls were collected to examine immune cell differential analysis. Results: SAA1 and TUBA8 were significantly expressed differentially in these two groups and correlated quite strongly with macrophage M0 and resting mast cells (P < 0.05). Routine blood data showed that monocytes were significantly more expressed in AS than in healthy controls (P < 0.05). SAA1 and TUBA8 were closely related to the sensitivity of various drugs, which might lead to altered drug sensitivity. Conclusion: Dysregulation of SAA1, TUBA8 and monocytes are key factors in ankylosing spondylitis with femoral head necrosis.

Multiplexed In Situ Imaging Mass Cytometry Analysis of the Human Endocrine Pancreas and Immune System in Type 1 Diabetes.

The interaction between the immune system and endocrine cells in the pancreas is crucial for the initiation and progression of type 1 diabetes (T1D). Imaging mass cytometry (IMC) enables multiplexed assessment of the abundance and localization of more than 30 proteins on the same tissue section at 1-µm resolution. Herein, we have developed a panel of 33 antibodies that allows for the quantification of key cell types including pancreatic exocrine cells, islet cells, immune cells, and stromal components. We employed this panel to analyze 12 pancreata obtained from donors with clinically diagnosed T1D and 6 pancreata from non-diabetic controls. In the pancreata from donors with T1D, we simultaneously visualized significant alterations in islet architecture, endocrine cell composition, and immune cell presentation. Indeed, we demonstrate the utility of IMC to investigate complex events on the cellular level that will provide new insights on the pathophysiology of T1D.

B lymphocyte deficiency affects the structure of mouse heart and the composition of cardiac immune cells / 西安交通大学学报(医学版)

【Objective】 To explore the effect of B lymphocytes on cardiac structure and function and myocardial immune cells during heart development. 【Methods】 Echocardiography, immunofluorescence staining and flow cytometry were used to evaluate the composition of immune cells of the heart and the cardiac structure and function in wild-type (WT) mice and B-lymphocyte-deficient (μMT) mice, respectively. 【Results】 Compared with those of μMT mice, the ratio of heart weight to mouse weight (P<0.05), left ventricular mass (P<0.05) and the cross-sectional area of myocardial cells WT mice were significantly increased, while the ventricular ejection fraction was significantly decreased (P<0.05). The results of mRNA sequencing showed that WT mice and μMT mice differentially expressed genes were mainly enriched in the signal pathway of heart development and hypertrophic cardiomyopathy. The results of flow cytometry showed that WT mice had more Ly6g+ neutrophils, CD4+ positive T cells (P<0.001) and CD8+T cells (P<0.05) compared with μMT mice. 【Conclusion】 B-lymphocyte depletion alters the composition of cardiomyocyte immune cells, reduces left ventricular mass, and increases myocardial contractility.

Initial immune reaction and angiogenesis in bone healing.

During hematoma formation following injury, an inflammatory reaction ensues as an initial step in the healing process. As granulation tissue matures, revascularization is a prerequisite for successful healing. The hypothesis of this study was that scarless tissue reconstitution in the regenerative bone healing process is dependent on a balanced immune reaction that initiates revasculatory steps. To test this hypothesis, cellular composition and expression profiles of a bone hematoma (regenerative, scarless) was compared with a muscle soft tissue hematoma (healing with a scar) in a sheep model. Upregulation of regulatory T helper cells and anti-inflammatory cytokine expression (IL-10) coincided with an upregulation of angiogenic factors (HIF1α and HIF1α regulated genes) in the regenerative bone hematoma but not in the soft tissue hematoma. These results indicate that the timely termination of inflammation and early onset of revascularization are interdependent and essential for a regenerative healing process. Prolonged pro-inflammatory signaling occurring in a delayed bone-healing model supports the finding that timely termination of inflammation furthers the regenerative process. Differing cellular compositions are due to different cell sources invading the hematoma, determining the ensuing cytokine expression profile and thus paving the path for regenerative healing in bone or the formation of scar tissue in muscle injury.