Effect of non-encapsulated and encapsulated active dried yeast on blood cell count, blood metabolites and immune response of finishing beef heifers

2021 ◽  
Author(s):  
Peixin Jiao ◽  
Karen A. Beauchemin ◽  
Fengchun Ma ◽  
Ousama AlZahal ◽  
Xiaolai Xie ◽  
...  
Keyword(s):  
Immune Response ◽  
Blood Cell ◽  
Blood Metabolites ◽  
Cell Distribution ◽  
Beef Heifers ◽  
Lipopolysaccharide Binding Protein ◽  
Blood Cell Count ◽  
Cytokine Concentration ◽  
Distribution Width ◽  
Red Blood Cell Distribution

A study was conducted to evaluate whether encapsulated active dried yeast (EDY), compared with non-protected (ADY) or antibiotics (ANT), improved immune response and blood metabolites of finishing beef heifers. Blood urea nitrogen was lower (P ˂ 0.05) with supplemented ADY and mixture of ADY and EDY (MDY) compared with control. Supplementation of MDY mixture also resulted in lower (P ˂ 0.05) red blood cell distribution width than control. Lipopolysaccharide binding protein was less (P ˂ 0.05) for EDY than control, ANT and ADY as well as cytokine concentration of interleukin-6 was less (P ˂ 0.05) for MDY versus control.

A Micro-Fabricated Electrical-Impedance-Based In-Flight Hematology Analyzer

2005 ◽  
Author(s):  
Bradley E. Layton ◽  
Brian G. Jamieson ◽  
Stephanie M. Sullivan
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Electrical Impedance ◽  
Cell Distribution ◽  
Blood Cell Count ◽  
Distribution Width ◽  
Red Blood Cell Count ◽  
Hematology Parameters ◽  
Microchannel Device ◽  
Red Blood Cell Distribution

We present a proposed method to obtain three hematology parameters: red blood cell count, mean red blood cell volume and red blood cell distribution width on a microfabricated microchannel device. Detection will be conducted with an impedance device, in a series of three or more filter beds with channel dimensions on the order of 2–7 μm wide × 5 μm high × 5–15 μm long, and a total device volume on the order of 1 μl.

A Micro-Fabricated Electrical Impedance Based Hematology Analyzer

2005 ◽  
Author(s):  
Stephanie M. Sullivan ◽  
Brian G. Jamieson ◽  
Bradley E. Layton
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Electrical Impedance ◽  
Cell Distribution ◽  
Blood Cell Count ◽  
Distribution Width ◽  
Hematology Analyzer ◽  
Red Blood Cell Count ◽  
Hematology Parameters ◽  
Red Blood Cell Distribution

Our work proposes a device to monitor and measure three key hematology parameters: red blood cell count (RBC), mean red blood cell volume (MCV), and red blood cell distribution width (RDW). This device will be a microfabricated microchannel unit. Cellular detection will be performed using an impedance device through a series of filter beds with channel dimensions of approximately 2–7 μm wide × 5 μm high × 5–15 μm long.

scholarly journals Red Blood Cell Distribution Width Predicts Pulmonary Hypertension Secondary to Chronic Obstructive Pulmonary Disease

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Jie Yang ◽  
Chuanmei Liu ◽  
Lingling Li ◽  
Xiongwen Tu ◽  
Zhiwei Lu
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Pulmonary Hypertension ◽  
Blood Cell ◽  
Tracking System ◽  
Chronic Obstructive ◽  
Cell Distribution ◽  
Obstructive Pulmonary Disease ◽  
Distribution Width ◽  
Copd Patients ◽  
Red Blood Cell Distribution

Purpose. This study aims at investigating the predictive value of red blood cell distribution width (RDW) in pulmonary hypertension (PH) secondary to chronic obstructive pulmonary disease (COPD). Methods. 213 eligible in-hospital COPD patients were reviewed between May 2016 and May 2018, including 39 cases with PH and 174 without PH. Clinical data including demographic characteristics, comorbidities, and results of ultrasound scans, imaging examinations, and laboratory tests were recorded. Results. Increased RDW level was observed in COPD patients with PH compared with COPD patients without PH, with 15.10 ± 1.72% versus 13.70 ± 1.03%, respectively (p<0.001). RDW shared positive relationships with brain natriuretic peptide (BNP) (p=0.001, r = 0.513), pulmonary artery (PA) systolic pressure (p=0.014, r = 0.390), and PA-to-ascending aorta (A) ratio (PA : A) (p=0.001, r = 0.502). Multivariate analysis indicated that RDW, BNP, and PA : A > 1 were the independent risk factors of PH secondary to COPD (p<0.05). The AUC of the RDW in patients with PH was 0.749 ± 0.054 (p<0.001). The optimal cutoff value of RDW for predicting PH was 14.65, with a sensitivity and a specificity value of 69.2% and 82.8%, respectively. Conclusion. RDW is significantly increased in COPD patients with PH and thus may be a useful biomarker for PH secondary to COPD.

scholarly journals Red Blood Cell Distribution Width, Disease Severity, and Mortality in Hospitalized Patients with SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 10 (2) ◽  
pp. 286
Author(s):  
Angelo Zinellu ◽  
Arduino A. Mangoni
Keyword(s):  
Systematic Review ◽  
Blood Cell ◽  
Disease Severity ◽  
Red Blood Cell ◽  
Effect Size ◽  
Meta Analysis ◽  
Severe Illness ◽  
Cell Distribution ◽  
Distribution Width ◽  
Red Blood Cell Distribution

The identification of biomarkers predicting disease severity and outcomes is the focus of intense research in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 infection). Ideally, such biomarkers should be easily derivable from routine tests. We conducted a systematic review and meta-analysis of the predictive role of the red blood cell distribution width (RDW), a routine hematological test, in patients with SARS-CoV-2 infection. We searched the electronic databases PubMed, Web of Science and Scopus, from January 2020 to November 2020, for studies reporting data on the RDW and coronavirus disease 2019 (COVID-19) severity, defined as severe illness or admission to the intensive care unit (ICU), and mortality. Eleven studies in 4901 COVID-19 patients were selected for the meta-analysis. Pooled results showed that the RDW values were significantly higher in patients with severe disease and non-survivors (standard mean difference, SMD = 0.56, 95% CI 0.31 to 0.81, p < 0.001). Heterogeneity between studies was extreme (I2 = 80.6%; p < 0.001). In sensitivity analysis, the effect size was not modified when each study was in turn removed (effect size range, between 0.47 and 0.63). The Begg’s (p = 0.53) and Egger’s tests (p = 0.52) showed no evidence of publication bias. No significant correlations were observed between SMD and age, gender, whole blood count, end point, study geographic area, or design. Our meta-analysis showed that higher RDW values are significantly associated with COVID-19 severity and mortality. This routine parameter might assist with early risk stratification in patients with SARS-CoV-2 infection.

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