scholarly journals Central Multifocal Choroiditis: Platelet Granularity as a Potential Marker for Treatment With Steroid-Sparing Immunomodulatory Therapy

2021 ◽  
Vol 1 ◽  
Author(s):  
Evianne L. de Groot ◽  
Jeannette Ossewaarde-van Norel ◽  
Imo E. Hoefer ◽  
Saskia Haitjema ◽  
Joke H. de Boer ◽  
...  
Keyword(s):  
Blood Cell ◽  
Hazard Analysis ◽  
Disease Onset ◽  
Posterior Uveitis ◽  
Immunomodulatory Therapy ◽  
Blood Monocytes ◽  
Cell Composition ◽  
Multifocal Choroiditis ◽  
Potential Marker ◽  
Age And Sex

PurposeWe aimed to evaluate the blood cell composition in patients with central multifocal choroiditis (cMFC), a rare form of posterior uveitis predominantly affecting young myopic women.MethodsIn this retrospective observational case-control study, a 104-parameter automated hematocytometry was conducted by the Cell-Dyn Sapphire hematology analyzer for 122 cases and 364 age- and sex-matched controls. Cox proportional regression analysis was used to assess the relation between the blood cell composition and the time between disease onset (first visit) and the start of systemic corticosteroid-sparing immunomodulatory therapy (IMT).ResultsAt a false discovery rate of 5% (Padj), we identified a decrease of blood monocytes in cases with cMFC, which could be attributed to disease activity. Cox proportional hazard analysis including age and sex revealed that increased platelet granularity (measured by mean intermediate angle scatter) was an independent risk factor for treatment with IMT (hazard ratio = 2.3 [95% confidence interval = 1.28 - 4.14], Padj = 0.049). The time between the first presentation and the start of IMT was 0.3 years in the group with an increased platelet granularity and 3.4 years in the group without increased platelet granularity.ConclusionsPatients with cMFC demonstrated a decrease in blood monocytes. Moreover, platelet granularity could potentially be used as a marker for treatment with IMT.

New data on the blood cell composition of bearded seal

2015 ◽  
Vol 462 (1) ◽  
pp. 152-154
Author(s):  
T. V. Minzyuk ◽  
N. N. Kavtsevich ◽  
V. N. Svetochev
Keyword(s):  
Blood Cell ◽  
Bearded Seal ◽  
Cell Composition

scholarly journals Cord blood buffy coat DNA methylation is comparable to whole cord blood methylation

2017 ◽  
Author(s):  
John Dou ◽  
Rebecca J. Schmidt ◽  
Kelly S. Benke ◽  
Craig Newschaffer ◽  
Irva Hertz-Picciotto ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Blood Cell ◽  
Cord Blood ◽  
Whole Blood ◽  
Cell Types ◽  
Buffy Coat ◽  
Sample Type ◽  
Blood Samples ◽  
Cell Composition ◽  
Cell Counts

AbstractBackgroundCord blood DNA methylation is associated with numerous health outcomes and environmental exposures. Whole cord blood DNA reflects all nucleated blood cell types, while centrifuging whole blood separates red blood cells by generating a white blood cell buffy coat. Both sample types are used in DNA methylation studies. Cell types have unique methylation patterns and processing can impact cell distributions, which may influence comparability.ObjectivesTo evaluate differences in cell composition and DNA methylation between buffy coat and whole cord blood samples.MethodsCord blood DNA methylation was measured with the Infinium EPIC BeadChip (Illumina) in 8 individuals, each contributing buffy coat and whole blood samples. We analyzed principal components (PC) of methylation, performed hierarchical clustering, and computed correlations of mean-centered methylation between pairs. We conducted moderated t-tests on single sites and estimated cell composition.ResultsDNA methylation PCs were associated with individual (PPC1=1.4x10-9; PPC2=2.9x10-5; PPC3=3.8x10-5; PPC4=4.2x10-6; PPC5=9.9x10-13), and not with sample type (PPC1-5>0.7). Samples hierarchically clustered by individual. Pearson correlations of mean-centered methylation between paired individual samples ranged from r=0.66 to r=0.87. No individual site significantly differed between buffy coat and whole cord blood when adjusting for multiple comparisons (5 sites had unadjusted P<10-5). Estimated cell type proportions did not differ by sample type (P=0.86), and estimated cell counts were highly correlated between paired samples (r=0.99).ConclusionsDifferences in methylation and cell composition between buffy coat and whole cord blood are much lower than inter-individual variation, demonstrating that both sample preparation types can be analytically combined and compared.

scholarly journals Handling blood cell composition in epigenetic studies on ageing

2017 ◽  
Vol 46 (5) ◽  
pp. 1717-1718 ◽  
Author(s):  
Qihua Tan ◽  
Bastiaan T Heijmans ◽  
Jacob VB Hjelmborg ◽  
Mette Soerensen ◽  
Kaare Christensen ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Composition

scholarly journals The efficacy of corticosteroid‐sparing immunomodulatory therapy in treating patients with central multifocal choroiditis

2020 ◽  
Vol 98 (8) ◽  
pp. 816-821 ◽  
Author(s):  
Evianne L. Groot ◽  
Ninette H. ten Dam‐van Loon ◽  
Joke H. Boer ◽  
Jeannette Ossewaarde‐van Norel
Keyword(s):  
Immunomodulatory Therapy ◽  
Multifocal Choroiditis

scholarly journals Amyloid-beta uptake by blood monocytes is reduced with ageing and Alzheimer’s disease

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Si-Han Chen ◽  
Ding-Yuan Tian ◽  
Ying-Ying Shen ◽  
Yuan Cheng ◽  
Dong-Yu Fan ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyloid Β ◽  
Blood Levels ◽  
Amyloid Β Protein ◽  
Blood Monocytes ◽  
Cognitively Normal ◽  
Β Protein ◽  
Toll Like Receptor 2 ◽  
Age And Sex

AbstractDeficits in the clearance of amyloid β-protein (Aβ) play a pivotal role in the pathogenesis of sporadic Alzheimer’s disease (AD). The roles of blood monocytes in the development of AD remain unclear. In this study, we sought to investigate the alterations in the Aβ phagocytosis function of peripheral monocytes during ageing and in AD patients. A total of 104 cognitively normal participants aged 22–89 years, 24 AD patients, 25 age- and sex-matched cognitively normal (CN) subjects, 15 Parkinson’s disease patients (PD), and 15 age- and sex-matched CN subjects were recruited. The Aβ uptake by blood monocytes was measured and its alteration during ageing and in AD patients were investigated. Aβ1-42 uptake by monocytes decreased during ageing and further decreased in AD but not in PD patients. Aβ1-42 uptake by monocytes was associated with Aβ1-42 levels in the blood. Among the Aβ uptake-related receptors and enzymes, the expression of Toll-like receptor 2 (TLR2) was reduced in monocytes from AD patients. Our findings suggest that monocytes regulate the blood levels of Aβ and might be involved in the development of AD. The recovery of the Aβ uptake function by blood monocytes represents a potential therapeutic strategy for AD.

scholarly journals Concanavalin A-mediated binding and sphering of human red blood cells by homologous monocytes.

1976 ◽  
Vol 144 (6) ◽  
pp. 1695-1700 ◽  
Author(s):  
D Guerry ◽  
M A Kenna ◽  
A D Schrieber ◽  
R A Cooper
Keyword(s):  
Blood Cell ◽  
Red Blood Cells ◽  
Concanavalin A ◽  
Blood Cells ◽  
Human Monocytes ◽  
Blood Monocytes ◽  
Con A ◽  
Peripheral Blood Monocytes ◽  
Human Red Blood Cells ◽  
Human Rbcs

Human red blood cells sensitized with concanavalin A became bound to homologous peripheral blood monocytes. Binding occured at a concentration of 10(5) molecules of tetrameric Con A per red blood cell (RBC) and increased with additional Con A. RBC binding began within 5 min and was maximal at 90 min. Phagocytosis of sensitized RBCs was minimal. RBC attachment was prevented by 0.01 M alpha-methyl-D-mannopyranoside, and, once the RBC-monocyte rosette was established, bound RBCs were largely removed with this specific saccharide inhibitor of Con A. RBCs attached to monocytes became spherocytic and osmotically fragile. The recognition of concanavalin A (Con A)-coated RBCs was not mediated through the monocyte IgG-Fc receptor. These studies demonstrate that, like IgG and C3b, Con A is capable of mediating the binding of human RBCs to human monocytes. Red cells so bound are damaged at the monocyte surface.

1H NMR–based metabolic profiling of serum for the detection of pancreatic cancer.

2011 ◽  
Vol 29 (4_suppl) ◽  
pp. 193-193
Author(s):  
K. Owusu-Sarfo ◽  
V. Asiago ◽  
N. Gowda ◽  
N. Shanaiah ◽  
B. Xi ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Logistic Regression ◽  
Early Detection ◽  
Metabolic Profiling ◽  
Selection Process ◽  
Disease Onset ◽  
Multivariate Logistic Regression Analysis ◽  
Metabolic Profiles ◽  
Potential Marker ◽  
Metabolite Markers

193 Background: Pancreatic cancer (PC) is one of the leading causes of cancer deaths with a 5-yr mortality rate of 95%, and the lack of a suitable early detection method contributes to its poor prognosis. Metabolomics, the analysis of the metabolic profiles in biological samples such as serum and urine is emerging as an important tool to complement other “omic” techniques. In an effort to identify potential biomarkers for PC, we analyzed serum from PC patients (pts) focusing on altered metabolic profiles using 1H nuclear magnetic resonance (NMR). Methods: The metabolite profiles from serum samples consisting of 55 PC pts and 32 healthy controls were analyzed using NMR combined with advanced supervised and unsupervised multivariate statistical methods such as partial least squares discriminant analysis (PLSDA) and principal component analysis (PCA). A number of metabolite markers selected based on p values and logistic regression rank the importance of each potential marker. Statistically significant metabolites between cancer and controls were used to build a prediction model. Results: Based on multivariate logistic regression analysis of 20 targeted metabolites, 10 metabolite markers were selected from the variable selection process and used to build a regression model with high accuracy (AUROC >0.99), a sensitivity of 95% and specificity of 95% using a training set of samples. When the model was tested on an independent set of patient samples, it yielded a sensitivity of 95% and a specificity of 100% (AUROC >0.98). Box and whisker plots for individual markers verified the high performance of all 10 markers. Conclusions: The high sensitivity of the metabolic profile that distinguishes PC pts from controls indicates the potential utility of 1H NMR metabolic profiling for the early detection of PC. The investigation has identified perturbations in several pathways such as glycolysis and amino acid metabolism, highlighting their contribution to disease onset. This study demonstrates the potential of metabolite profiling as an important tool toward detecting PC development. Future studies will involve metabolite validation on high risk pts, and additional mass spectrometry based metabolic discovery efforts. No significant financial relationships to disclose.

Experimental opisthorchiasis: Study of blood cell composition, hematopoiesis, and startle reflex in laboratory animals

2017 ◽  
Vol 7 (1) ◽  
pp. 82-92 ◽  
Author(s):  
D. F. Avgustinovich ◽  
I. A. Orlovskaya ◽  
L. B. Toporkova ◽  
G. B. Vishnivetskaya ◽  
A. V. Katokhin ◽  
...  
Keyword(s):  
Blood Cell ◽  
Startle Reflex ◽  
Laboratory Animals ◽  
Cell Composition

scholarly journals Accurate prediction of cell composition, age, smoking consumption and infection serostatus based on blood DNA methylation profiles

2018 ◽  
Author(s):  
Jacob Bergstedt ◽  
Alejandra Urrutia ◽  
Darragh Duffy ◽  
Matthew L. Albert ◽  
Lluís Quintana-Murci ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Blood Cell ◽  
Regression Models ◽  
Disease Risk ◽  
Association Studies ◽  
Cell Types ◽  
Cellular Heterogeneity ◽  
Cell Composition ◽  
Healthy Donors ◽  
Circulating Levels

DNA methylation is a stable epigenetic alteration that plays a key role in cellular differentiation and gene regulation, and that has been proposed to mediate environmental effects on disease risk. Epigenome-wide association studies have identified and replicated associations between methylation sites and several disease conditions, which could serve as biomarkers in predictive medicine and forensics. Nevertheless, heterogeneity in cellular proportions between the compared groups could complicate interpretation. Reference-based cell-type deconvolution methods have proven useful in correcting epigenomic studies for cellular heterogeneity, but they rely on reference libraries of sorted cells and only predict a limited number of cell populations. Here we leverage >850,000 methylation sites included in the MethylationEPIC array and use elastic net regularized and stability selected regression models to predict the circulating levels of 70 blood cell subsets, measured by standardized flow cytometry in 962 healthy donors of western European descent. We show that our predictions, based on a hundred of methylation sites or lower, are less error-prone than other existing methods, and extend the number of cell types that can be accurately predicted. Application of the same methods to age, smoking consumption and several serological responses to pathogen antigens also provide accurate estimations. Together, our study substantially improves predictions of blood cell composition based on methylation profiles, which will be critical in the emerging field of medical epigenomics.

scholarly journals Red Blood Cell Variables in Children and Adolescents regarding the Age and Sex

2019 ◽  
Author(s):  
Jasmina PLUNCEVIC GLIGOROSKA ◽  
Serjoza GONTAREV ◽  
Beti DEJANOVA ◽  
Lidija TODOROVSKA ◽  
Daniela SHUKOVA STOJMANOVA ◽  
...  
Keyword(s):  
Blood Cell ◽  
Children And Adolescents ◽  
Red Blood Cell ◽  
Hematological Parameters ◽  
Hemoglobin Concentration ◽  
Female Group ◽  
Distribution Width ◽  
Hematological Indices ◽  
Significant Difference ◽  
Age And Sex

Background: This study aimed to assess the basic red blood cell variables and hematological indices in children and adolescents and analyze the differences regarding age and sex. Methods: Overall, 320 young participants, age 8 to 18 yr, were enrolled at Laboratory of Sport’s Medicine, Medical Faculty, Skopje, Macedonia in 2016. Capillary blood samples were drawn and following hematologic parameters were measured: the red blood cell count (RBC), hemoglobin concentration (Hb), hematocrit level (Hct) and hematological indexes: mean corpuscular volume (MCV), mean hemoglobin concentration (MCH), mean corpuscular hemoglobin concentration (MCHC) and red cell distribution width (RDW). Results: RBC variables in male group showed high statistical level of significance between age different groups (P=0.001) for all studied parameters except MCHC (P=0.423) and RDW (P=0.174). ANOVA test and multivariate tests in female group showed that there was no significant difference for all hematological parameters between age different groups. Regarding the sex differences, male participants had significantly higher red blood count (P<0.001), hemoglobin content (P<0.001) and hematocrit (P<0.001). Conclusion: Hematological parameters in adolescent as inhomogeneous population are not quantified sufficiently, especially hematological indices. RBC variables, regardless of the age, differ very much between male and female examinees, in favor of the male examinees. Hematological indices were insignificantly higher in males. Regarding the age of examinees, RBC variables showed significant inter-groups differences only within male adolescents. While with girls, ages span 8 to 18 yr, we did not find significant differences for most of the hematological variables.

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