Validation of the reticulocyte channel of Sysmex XN-9000 system for blood cell count in samples with suspected cold agglutination for use in a total laboratory automation setting

2020 ◽  
Vol 73 (12) ◽  
pp. 847-848
Author(s):  
Felicia Stefania Falvella ◽  
Ludovica Serafini ◽  
Sarah Birindelli ◽  
Mauro Panteghini
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Laboratory Automation ◽  
Blood Cell Count ◽  
Total Laboratory Automation

Cigarette Smoking Increases Thromboxane A2 Formation without Affecting Platelet Survival in Young Healthy Females

1992 ◽  
Vol 68 (05) ◽  
pp. 583-588 ◽  
Author(s):  
Annika Dotevall ◽  
Christina Rångemark ◽  
Elsa Eriksson ◽  
Jack Kutti ◽  
Hans Wadenvik ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cigarette Smoking ◽  
Blood Cell ◽  
Urinary Excretion ◽  
Life Span ◽  
Cell Count ◽  
Thromboxane A2 ◽  
Blood Cell Count ◽  
Platelet Activity ◽  
Pai 1

SummarySmoking is a risk factor for the development of atherosclerotic cardiovascular disease, in men as well as in women. An increased urinary excretion of the thromboxane metabolite 2,3-dinor-thromboxane B2 (Tx-M) has been observed in smokers of both genders, suggesting that cigarette smoking may facilitate cardiovascular disease via an action on the platelets. The present study addressed the hypothesis that the increased Tx-M excretion in female smokers reflects a true facilitation of platelet reactivity in vivo, rather than an increased destruction of the platelets. In healthy female volunteers (aged 20–46 years, 18 smokers and 17 non-smokers) platelet life-span and indices of platelet activity were determined, together with plasma levels of plasminogen activator inhibitor-1 (PAI-1), fibrinogen, peripheral blood cell counts and hematocrit. The urinary excretion of Tx-M was higher in smokers than in non-smokers (361 vs. 204 pg/mg creatinine, respectively, p <0.05), while plasma and urinary β-thromboglobulin, plasma platelet factor 4, platelet mean life-span and platelet production rate did not differ between the groups. PAI-1 activity, white blood cell count and hematocrit were higher in smokers than in non-smokers (p <0.05). These data indicate that smoking facilitates platelet formation of thromboxane A2 without affecting platelet survival; i.e. it increases the activity of platelets without affecting their viability to a measurable extent. Such an increase in platelet activity, operating in parallel to a reduced fibrinolytic activity and a higher hematocrit and white blood cell count, may play an etiological role in smoking-induced cardiovascular disease in women.

Influence of increased doses of fenbendazole supramolecular complex on sheep’s organism

2018 ◽  
Vol 12 (2) ◽  
pp. 46-52 ◽  
Author(s):  
A.I. Varlamova
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Biochemical Parameters ◽  
Negative Influence ◽  
Supramolecular Complex ◽  
Control Group ◽  
Blood Cell Count ◽  
Russian Scientific ◽  
Russian Scientific Research Institute ◽  
Hematological And Biochemical Parameters

The purpose of the research: study of the influence of increased doses of fenbendazole supramolecular complex (FSMC) on sheep’s organism. Materials and methods. The experiment was carried out at the Podolsk Department of All-Russian Scientific Research Institute of Fundamental and Applied Parasitology of Animals and Plants named after K. I. Skryabin on 20 manorial invasion-free sheep aged 2-3 years old. Animals were divided according to the principle of analogues into 4 groups, 5 heads in each group. Animals of the 1, 2 and 3 group were orally administered with FSMC given as a single dose of 2, 6, 10 mg/kg, respectively, according to the active substance, i.e in therapeutic and in a dose increased by 3 and 5 times. Sheep of the fourth group didn’t receive the drug and they were as control. Study of clinical, hematological and biochemical parameters of animals from all groups was conducted 1 day before and in 1, 3, 5 days after administration of the drug by means of standard methods. Results and discussion. FSMC in therapeutic dose as well as in a dose increased by 3 and 5 times doesn’t have negative influence on clinical, hematological and biochemical parameters of the sheep. State of the sheep, which received the drug in doses of 20, 60, 100 mg/kg, was within the physiologically normal state and didn’t differ from the state before administration of the drug and from the animals of the control group. Drug security index exceeds 5. Red blood cell count, white blood cell count, hemoglobin count, leukogram parameters as well as biochemical parameters of blood: activity of alkaline phosphatase and amylase, bilirubin, creatinine, urea and glucose counts were within normal limits and didn’t differ from the parameters of the control animals.

scholarly journals White Blood Cells and Severe COVID-19: A Mendelian Randomization Study

2021 ◽  
Vol 11 (3) ◽  
pp. 195
Author(s):  
Yitang Sun ◽  
Jingqi Zhou ◽  
Kaixiong Ye
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Blood Cells ◽  
Mendelian Randomization ◽  
Association Studies ◽  
White Blood Cells ◽  
Genome Wide Association Studies ◽  
Blood Cell Count

Increasing evidence shows that white blood cells are associated with the risk of coronavirus disease 2019 (COVID-19), but the direction and causality of this association are not clear. To evaluate the causal associations between various white blood cell traits and the COVID-19 susceptibility and severity, we conducted two-sample bidirectional Mendelian Randomization (MR) analyses with summary statistics from the largest and most recent genome-wide association studies. Our MR results indicated causal protective effects of higher basophil count, basophil percentage of white blood cells, and myeloid white blood cell count on severe COVID-19, with odds ratios (OR) per standard deviation increment of 0.75 (95% CI: 0.60–0.95), 0.70 (95% CI: 0.54–0.92), and 0.85 (95% CI: 0.73–0.98), respectively. Neither COVID-19 severity nor susceptibility was associated with white blood cell traits in our reverse MR results. Genetically predicted high basophil count, basophil percentage of white blood cells, and myeloid white blood cell count are associated with a lower risk of developing severe COVID-19. Individuals with a lower genetic capacity for basophils are likely at risk, while enhancing the production of basophils may be an effective therapeutic strategy.

Identifying Top Predictors of Change in Noncalcified Coronary Burden in Psoriasis by Machine Learning Over 1-Year

2021 ◽  
pp. 247553032110007
Author(s):  
Eric Munger ◽  
Amit K. Dey ◽  
Justin Rodante ◽  
Martin P. Playford ◽  
Alexander V. Sorokin ◽  
...  
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Severity Index ◽  
Blood Cell Count ◽  
Psoriasis Area Severity Index ◽  
Severity Index Score

Background: Psoriasis is associated with accelerated non-calcified coronary plaque burden (NCB) by coronary computed tomography angiography (CCTA). Machine learning (ML) algorithms have been shown to effectively identify cardiometabolic variables with NCB in cross-sectional analysis. Objective: To use ML methods to characterize important predictors of change in NCB by CCTA in psoriasis over 1-year of observation. Methods: The analysis included 182 consecutive patients with 80 available variables from the Psoriasis Atherosclerosis Cardiometabolic Initiative, a prospective, observational cohort study at baseline and 1-year using the random forest regression algorithm. NCB was assessed at baseline and 1-year from CCTA. Results: Using ML, we identified variables of high importance in the context of predicting changes in NCB. For the cohort that worsened NCB (n = 102), top baseline variables were cholesterol (total and HDL), white blood cell count, psoriasis area severity index score, and diastolic blood pressure. Top predictors of 1-year change were change in visceral adiposity, white blood cell count, total cholesterol, c-reactive protein, and absolute lymphocyte count. For the cohort that improved NCB (n = 80), the top baseline variables were HDL cholesterol related including apolipoprotein A1, basophil count, and psoriasis area severity index score, and top predictors of 1-year change were change in apoA, apoB, and systolic blood pressure. Conclusion: ML methods ranked predictors of progression and regression of NCB in psoriasis over 1 year providing strong evidence to focus on treating LDL, blood pressure, and obesity; as well as the importance of controlling cutaneous disease in psoriasis.

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