[Show abstract][Hide abstract] ABSTRACT: There is strong evidence that inflammatory mediators play a key role in the progression to heart failure in patients with systemic hypertension (HTN). The present study aimed to identify a set of cytokines that are associated with early left ventricular (LV) remodeling and dysfunction as captured by echocardiography in patients with HTN in a cross-sectional case-control study nested within the FLEMish study on ENvironment, Genes and Health Outcome. We identified three groups of participants from the cohort: normotensive subjects (normotension; n = 30), HTN with normal LV structure and function (HTN [LV-]; n = 30), and HTN with evidence of adverse LV remodeling (HTN [LV+]; n = 50). We measured cytokines using a 63-plex Luminex platform. Using partial least squares-discriminant analysis, we constructed three latent variables from the measured cytokines that explained 35%-45% of the variance between groups. We identified five common cytokines (interleukin 18, monokine induced by gamma interferon, hepatocyte growth factor, epithelial neutrophil-activating peptide 78, and vascular endothelial growth factor D) with a stable signal which had a major impact on the construction of the latent variables. Among these cytokines, after adjustment for confounders, interleukin 18 remained significantly different between HTN participants with and without LV involvement (P = .02). Moreover, granulocyte-macrophage colony-stimulating factor and leptin showed a consistent upward trend in all HTN patients compared with normotensive subjects. In conclusion, in HTN patients with LV remodeling or/and dysfunction, we identified a set of cytokines strongly associated with LV maladaptation. We also found a distinct profile of inflammatory biomarkers that characterize HTN.
No preview · Article · Oct 2015 · Journal of the American Society of Hypertension (JASH)
[Show abstract][Hide abstract] ABSTRACT: Success with recent immunotherapies has resulted in previously unattainable response rates, as well as durable responses in diseases with historically poor prognoses. The combination of radiation therapy and immunotherapy has been a recent area of active investigation, with exciting results in a subset of patients. However, patient characteristics predictive of probable benefit from therapy and clinically meaningful biomarkers indicative of the early development of an antitumor immune response have yet to be identified. What is needed is a better way to predict which patients are likely to benefit from therapy, which would allow those patients unlikely to benefit from immunotherapy to be spared potentially futile therapies, thereby avoiding unnecessary risks of toxicity and costly treatment. Here, we summarize the early data on predictors of clinical response to immunotherapy, and to immunotherapy in combination with radiation.
[Show abstract][Hide abstract] ABSTRACT: While many age-associated immune changes have been reported, a comprehensive set of metrics of immune aging is lacking. Here we report data from 243 healthy adults aged 40-97, for whom we measured clinical and functional parameters, serum cytokines, cytokines and gene expression in stimulated and unstimulated PBMC, PBMC phenotypes, and cytokine-stimulated pSTAT signaling in whole blood. Although highly heterogeneous across individuals, many of these assays revealed trends by age, sex, and CMV status, to greater or lesser degrees. Age, then sex and CMV status, showed the greatest impact on the immune system, as measured by the percentage of assay readouts with significant differences. An elastic net regression model could optimally predict age with 14 analytes from different assays. This reinforces the importance of multivariate analysis for defining a healthy immune system. These data provide a reference for others measuring immune parameters in older people.
[Show abstract][Hide abstract] ABSTRACT: The development of biomarkers for autoimmune diseases has been hampered by a lack of understanding of disease etiopathogenesis and of the mechanisms underlying the induction and maintenance of inflammation, which involves complex activation dynamics of diverse cell types. The heterogeneous nature and suboptimal clinical response to treatment observed in many autoimmune syndromes highlight the need to develop improved strategies to predict patient outcome to therapy and personalize patient care. Mass cytometry, using CyTOF®, is an advanced technology that facilitates multiparametric, phenotypic analysis of immune cells at single-cell resolution. In this review, we outline the capabilities of mass cytometry and illustrate the potential of this technology to enhance the discovery of cellular biomarkers for rheumatoid arthritis, a prototypical autoimmune disease.
Full-text · Article · May 2015 · Arthritis research & therapy
[Show abstract][Hide abstract] ABSTRACT: The standard for single-cell analysis of phenotype and function in recent decades has been fluorescence flow cytometry. Mass cytometry is a newer technology that uses heavy metal ions, rather than fluorochromes, as labels for probes such as antibodies. The binding of these ion-labeled probes to cells is quantitated by mass spectrometry. This greatly increases the number of phenotypic and functional markers that can be probed simultaneously. Here, we review topics that must be considered when adapting existing flow cytometry panels to mass cytometry analysis. We present a protocol and representative panels for surface phenotyping and intracellular cytokine staining (ICS) assays
[Show abstract][Hide abstract] ABSTRACT: Arsenic has wide-ranging effects on human health and there is evidence that it alters the immune response by influencing CD4 +/CD8 + T cell ratios, IL-2 cytokine levels, and the expression of immune-response genes. We investigated the impact of in utero environmental arsenic exposure on immune development and function in newborns participating in a pregnancy cohort in New Hampshire, U.S., where arsenic levels have exceeded the current EPA maximum contaminant level of 10 μg/L. Our results showed that maternal urinary arsenic concentrations were inversely related to absolute total CD45RA + CD4 + cord blood CD69 + T cell counts (N = 116, p = 0.04) and positively associated with CD45RA + CD69- CD294 + cell counts (p = 0.01). In placental samples (N = 70), higher in utero urinary arsenic concentrations were positively associated with expression of IL1β (p = 0.03). These data provide evidence that relatively low-level arsenic exposure in utero may alter the fetal immune system and lead to immune dysregulation.
No preview · Article · Dec 2014 · Clinical Immunology