scholarly journals Effects of dietary Mannan oligosaccharide (MOS) on grown, survival rate, intestinal morphology and blood cell count of the golden trevally fish (Gnathanodon specious)

2019 ◽  
Vol 19 (4A) ◽  
pp. 241-250
Author(s):  
Dang Tran Tu Tram ◽  
Nguyen Thi Nguyet Hue ◽  
Ho Son Lam ◽  
Nguyen Truong Tan Tai ◽  
Dao Thi Hong Ngoc
Keyword(s):  
Survival Rate ◽  
Blood Cell ◽  
Blood Cells ◽  
White Blood Cells ◽  
Intestinal Morphology ◽  
The Other ◽  
Control Group ◽  
Blood Cell Count ◽  
Mannan Oligosaccharide ◽  
Erythrocyte Density

The golden trevally fishes (Gnathanodon specious) (2.19 ± 0.23 g) were cultured in glass tanks with density of 20 fishes/tank and they were fed supplemental diets of different MOS concentrations (0; 0.2; 0.4 and 0.6%) for 90 days. Collected data included growth rate, survival rate and some hematological characteristics of this fish. The results demonstrated that MOS supplementation did not affect growth performance, erythrocyte density and blood cell size, however the survival rate was significantly increased. On the other hand, the total number of white blood cells (BC) on the 60th day in the fish fed with MOS supplements (5.78–6.96 × 104TB/mm3) was higher than that in the control group (only 5.43 × 104TB/mm3) with the largest total leukocytes (6.96 ± 0.50 × 104TB /mm3) at 0.2% MOS (p < 0.05).

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.

scholarly journals Blood Cell Count Using Deep Learning Semantic Segmentation

2019 ◽  
Author(s):  
Thanh Tran ◽  
Lam Binh Minh ◽  
Suk-Hwan Lee ◽  
Ki-Ryong Kwon
Keyword(s):  
Deep Learning ◽  
Blood Cell ◽  
Cell Count ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Semantic Segmentation ◽  
Peripheral Blood Smear ◽  
Cell Counting ◽  
Blood Cell Count

Clinically, knowing the number of red blood cells (RBCs) and white blood cells (WBCs) helps doctors to make the better decision on accurate diagnosis of numerous diseases. The manual cell counting is a very time-consuming and expensive process, and it depends on the experience of specialists. Therefore, a completely automatic method supporting cell counting is a viable solution for clinical laboratories. This paper proposes a novel blood cell counting procedure to address this challenge. The proposed method adopts SegNet - a deep learning semantic segmentation to simultaneously segment RBCs and WBCs. The global accuracy of the segmentation of WBCs, RBCs, and the background of peripheral blood smear images obtains 89% when segment WBCs and RBCs from the background of blood smear images. Moreover, an effective solution to separate grouped or overlapping cells and cell count is presented using Euclidean distance transform, local maxima, and connected component labeling. The counting result of the proposed procedure achieves an accuracy of 93.3% for red blood cell count using dataset 1 and 97.38% for white blood cell count using dataset 2.

scholarly journals White blood cells and severe COVID-19: a Mendelian randomization study

2020 ◽  
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 ◽  
White Blood Cells ◽  
Causal Effects ◽  
Blood Cell Count ◽  
Granulocyte Count

AbstractBackgroundThe pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly emerged to seriously threaten public health. We aimed to investigate whether white blood cell traits have potential causal effects on severe COVID-19 using Mendelian randomization (MR).MethodsTo evaluate the causal associations between various white blood cell traits and severe COVID-19, we conducted a two-sample MR analysis with summary statistics from recent large genome-wide association studies.ResultsOur MR results indicated potential causal associations of white blood cell count, myeloid white blood cell count, and granulocyte count with severe COVID-19, with odds ratios (OR) of 0.84 (95% CI: 0.72-0.98), 0.81 (95% CI: 0.70-0.94), and 0.84 (95% CI: 0.71-0.99), respectively. Increasing eosinophil percentage of white blood cells was associated with a higher risk of severe COVID-19 (OR: 1.22, 95% CI: 1.03-1.45).ConclusionsOur results suggest the potential causal effects of lower white blood cell count, lower myeloid white blood cell count, lower granulocyte count, and higher eosinophil percentage of white blood cells on an increased risk of severe COVID-19.

scholarly journals Effect of Fluticasone and Salmeterol on Tracheal Responsiveness to Ovalbumin and Lung Inflammation, Administrated during and after Sensitization

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zahra Gholamnezhad ◽  
Mohammad Hossain Boskabady ◽  
Mohammad Reza Khazdair ◽  
Mahmoud Hosseini ◽  
Mahdi Abbasnejad
Keyword(s):  
Fluticasone Propionate ◽  
Blood Cell ◽  
White Blood Cell ◽  
Blood Cells ◽  
Lung Inflammation ◽  
White Blood Cells ◽  
Control Group ◽  
Treatment Groups ◽  
Group B ◽  
Differential White Blood Cell

The effect of duration of administration of fluticasone propionate and salmeterol on tracheal responsiveness to ovalbumin and total and differential white blood cell in sensitized guinea pig was examined. Six groups of guinea pigs (n=7) were sensitized to ovalbumin. Three groups of them were subjected to inhaled fluticasone propionate and salmeterol, one group during sensitization (A), one group after that (for 18 days, B), and the other one during sensitization but with 18 days delay before measurements (C). Three other groups were treated with placebo in the same manner. The tracheal responsiveness to ovalbumin and total and differential white blood cells of three placebo groups were significantly higher than those of control group (P<0.001for all cases). Tracheal responsiveness to ovalbumin and total and differential white blood cell in treated groups with fluticasone propionate and salmeterol were significantly decreased compared to those of placebo groups (nonsignificant toP<0.001). The improvement in all variables in treatment groups A and C were more pronounced than group B. The results showed that fluticasone propionate and salmeterol had a prevention effect on tracheal hyperresponsiveness to ovalbumin and lung inflammation which was more pronounced when administered during than after sensitization.

scholarly journals PSIV-27 Peripheral complete blood cell count results in pigs are impacted by gender, sow parity, and farrowing season

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 291-292
Author(s):  
Elle Rottman ◽  
Alisun N Watson ◽  
Catherine Buck ◽  
Tsungcheng Tsai ◽  
Jeffery J Chewning ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Whole Blood ◽  
Blood Cells ◽  
White Blood Cells ◽  
Mean Corpuscular Hemoglobin ◽  
Complete Blood Cell Count ◽  
Blood Cell Count ◽  
Corpuscular Hemoglobin ◽  
Cell Counts

Abstract Complete blood cell counts have been used as a diagnostic tool across many animal species including swine. To investigate the factors that cause variation in complete blood cell count results, a total of 2,284 whole blood samples were collected from 2012 to 2019 in preweaning piglets (n = 518), nursery pigs (n = 1,704), and grower pigs (n = 60). Whole blood was collected into K2EDTA blood collection tubes and assayed using an automatic hematologic analyzer within 6 hours of collection. Data were analyzed by Mixed procedure of SAS with gender, parity group, and farrowing season as fixed effects. Body weight and age of pigs served as covariances. Farrowing season was grouped into summer (born during May to October) or winter (or November to April). Pigs that were born from first, second, and third parity, and four and above parity sows were assorted into parity group 1, 2 to 3, and 4+, respectively. Barrows had a greater concentration of total white blood cells (P &lt; 0.01), lymphocytes (P &lt; 0.01), and neutrophils (P &lt; 0.01) compared to gilts. Barrows had lower mean corpuscular volume (P = 0.03), mean corpuscular hemoglobin (P &lt; 0.01), and mean corpuscular hemoglobin concentration (P = 0.02) compared to gilts. Pigs that were farrowed in the winter season had a greater concentration of white blood cells (P = 0.01), neutrophils (P = 0.01), and the percentage of neutrophils (P = 0.03), but were lower in the percentage of lymphocytes (P = 0.03) compared to pigs farrowed during summer. Pigs born to parity four and above sows obtained a greater lymphocyte count (P = 0.01), percentage of neutrophils (P = 0.02), and percentage of lymphocytes (P = 0.01). We concluded that peripheral complete blood cells count results were affected by gender, farrowing season, and sow parity.

scholarly journals Evaluating effects of electromagnetic fields on the total number and percentage of white blood cells in mice

2021 ◽  
Vol 5 (3) ◽  
pp. 01-07
Author(s):  
Sara Safaeian Laein ◽  
Bahareh Hormozi ◽  
Ali Neamati ◽  
Ghorban Safaeian Layen ◽  
Masoud Homayouni-Tabrizi
Keyword(s):  
Vitamin C ◽  
Electromagnetic Fields ◽  
Blood Cells ◽  
Electromagnetic Waves ◽  
White Blood Cells ◽  
Low Frequency ◽  
Antioxidant Property ◽  
The Other ◽  
Control Group ◽  
Antioxidant Effects

To evaluate the effects of electromagnetic waves on the total number and percentage of white blood cells and also antioxidant effects of vitamin C on the effects radiation, 24 male mice (Balb/c) were used: control under the influence of low frequency electromagnetic waves and under the influence of waves with vitamin C. Total number of white blood cells in under the influence waves group significantly increased compared to control group, and also under the influence waves group with vitamin C because its antioxidant property is able to prevent the increasing impact of electromagnetic waves. The percentage of white blood cells in the under influence waves group did not significantly change compared to the control group and also, the under influence waves group with vitamin C had no significant change compared to the other group. The percentage of neutrophils in samples of the under influence waves group had significant decrease compared to control group but in the under influence waves group with vitamin C compared to the other group, this vitamin C could prevent a significant reduction in percentage of neutrophils. Our findings indicated that low electromagnetic fields have caused significant changes in the total number of white blood cells and percentage of neutrophils in mice. In the group that received vitamin C injection, significant changes were observed in the total number of white blood cells and percentage of neutrophils relative to the group under the influence of low electromagnetic waves, which indicates that vitamin C could restore the mean total number of white blood cells and percentage of neutrophils to normal value.

scholarly journals Analysis of Platelet-Rich Plasma Extraction

2017 ◽  
Vol 5 (1) ◽  
pp. 232596711667527 ◽  
Author(s):  
Jane Fitzpatrick ◽  
Max K. Bulsara ◽  
Paul Robert McCrory ◽  
Martin D. Richardson ◽  
Ming Hao Zheng
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
White Blood Cell Count ◽  
White Blood Cell ◽  
Blood Cells ◽  
Platelet Rich Plasma ◽  
White Blood Cells ◽  
Clinical Use ◽  
Blood Cell Count ◽  
High Concentrations

Background: Platelet-rich plasma (PRP) has been extensively used as a treatment in tissue healing in tendinopathy, muscle injury, and osteoarthritis. However, there is variation in methods of extraction, and this produces different types of PRP. Purpose: To determine the composition of PRP obtained from 4 commercial separation kits, which would allow assessment of current classification systems used in cross-study comparisons. Study Design: Controlled laboratory study. Methods: Three normal adults each donated 181 mL of whole blood, some of which served as a control and the remainder of which was processed through 4 PRP separation kits: GPS III (Biomet Biologics), Smart-Prep2 (Harvest Terumo), Magellan (Arteriocyte Medical Systems), and ACP (Device Technologies). The resultant PRP was tested for platelet count, red blood cell count, and white blood cell count, including differential in a commercial pathology laboratory. Glucose and pH measurements were obtained from a blood gas autoanalyzer machine. Results: Three kits taking samples from the “buffy coat layer” were found to have greater concentrations of platelets (3-6 times baseline), while 1 kit taking samples from plasma was found to have platelet concentrations of only 1.5 times baseline. The same 3 kits produced an increased concentration of white blood cells (3-6 times baseline); these consisted of neutrophils, leukocytes, and monocytes. This represents high concentrations of platelets and white blood cells. A small drop in pH was thought to relate to the citrate used in the sample preparation. Interestingly, an unexpected increase in glucose concentrations, with 3 to 6 times greater than baseline levels, was found in all samples. Conclusion: This study reveals the variation of blood components, including platelets, red blood cells, leukocytes, pH, and glucose in PRP extractions. The high concentrations of cells are important, as the white blood cell count in PRP samples has frequently been ignored, being considered insignificant. The lack of standardization of PRP preparation for clinical use has contributed at least in part to the varying clinical efficacy in PRP use. Clinical Relevance: The variation of platelet and other blood component concentrations between commercial PRP kits may affect clinical treatment outcomes. There is a need for standardization of PRP for clinical use.

scholarly journals Les examens de laboratoire en hématologie

2012 ◽  
Vol 2 (2) ◽  
pp. 172-176
Author(s):  
Mohamed Brahimi ◽  
◽  
Farah Bouamama ◽  
Assia Alem ◽  
Amel Mihoubi ◽  
...  
Keyword(s):  
Blood Cell ◽  
Blood Cells ◽  
Laboratory Tests ◽  
White Blood Cells ◽  
Screening Tests ◽  
Clinical Approach ◽  
Complete Blood Cell Count ◽  
Blood Cell Count ◽  
Blood Disorders ◽  
Coagulation Assays

Complete blood cell count (CBC) and coagulation screening tests are the most performed laboratory tests. These two assays must be done systematically in various occasions since many blood disorders can be pauci or asymptomatic, and every illness may lead to their disturbance. For these reasons these tests are described in this paper. Nowadays, the majority of CBCs are performed using eighteen parameters automatic counters. For pedagogic reasons, this load of parameters is divided into three parts: red blood cells (RBCs), white blood cells (WBCs) and platelets parameters and the alteration of each of these later are highlighted hereafter. Standard coagulation assays (aPPT, PT, and fibrinogen) are described and the clinical approach explained in this monograph.

scholarly journals Deep Learning Model for the Automatic Classification of White Blood Cells

2022 ◽  
Vol 2022 ◽  
pp. 1-13
Author(s):  
Sarang Sharma ◽  
Sheifali Gupta ◽  
Deepali Gupta ◽  
Sapna Juneja ◽  
Punit Gupta ◽  
...  
Keyword(s):  
Deep Learning ◽  
Blood Cell ◽  
Cell Count ◽  
Blood Cells ◽  
White Blood Cells ◽  
Batch Size ◽  
Blood Cell Count ◽  
Sophisticated Equipment ◽  
Different Types ◽  
Batch Sizes

Blood cell count is highly useful in identifying the occurrence of a particular disease or ailment. To successfully measure the blood cell count, sophisticated equipment that makes use of invasive methods to acquire the blood cell slides or images is utilized. These blood cell images are subjected to various data analyzing techniques that count and classify the different types of blood cells. Nowadays, deep learning-based methods are in practice to analyze the data. These methods are less time-consuming and require less sophisticated equipment. This paper implements a deep learning (D.L) model that uses the DenseNet121 model to classify the different types of white blood cells (WBC). The DenseNet121 model is optimized with the preprocessing techniques of normalization and data augmentation. This model yielded an accuracy of 98.84%, a precision of 99.33%, a sensitivity of 98.85%, and a specificity of 99.61%. The proposed model is simulated with four batch sizes (BS) along with the Adam optimizer and 10 epochs. It is concluded from the results that the DenseNet121 model has outperformed with batch size 8 as compared to other batch sizes. The dataset has been taken from the Kaggle having 12,444 images with the images of 3120 eosinophils, 3103 lymphocytes, 3098 monocytes, and 3123 neutrophils. With such results, these models could be utilized for developing clinically useful solutions that are able to detect WBC in blood cell images.

Changes of Blood Leukocyte and Blood Glucose in Patients with Acute Craniocerebral Trauma and Nursing Effect

2021 ◽  
Vol 7 (5) ◽  
pp. 1670-1680
Author(s):  
Junyi Yang
Keyword(s):  
Blood Glucose ◽  
Brain Injury ◽  
Blood Cell ◽  
White Blood Cell ◽  
Blood Cells ◽  
White Blood Cells ◽  
Craniocerebral Trauma ◽  
Control Group ◽  
Craniocerebral Injury ◽  
Significant Difference

Acute craniocerebral injury is one of the most common injury types, and its mortality rate ranks first among all kinds of injuries. The changes of white blood cells and blood glucose play an important role in the treatment and nursing of patients. The purpose of this study is to analyze the changes of white blood cells and blood glucose in patients with acute craniocerebral trauma and nursing effect. In this study, 65 patients with craniocerebral injury admitted to the Department of Neurosurgery of our hospital from January 2017 to September 2019 were selected as the research objects. After admission, appropriate nutritional treatment was given according to the condition of patients. Blood samples were collected on fasting in the morning of 2, 8 and 15 days after admission, while those in the control group were collected by fasting vein for detection of white blood cells, blood glucose, blood lipid, blood uric acid and other indicators. There was no significant difference in the number of neutrophils in each group (P < 0.05, P < 0.05, P < 0.05, P < 0.05, P < 0.05). After acute traumatic brain injury, the white blood cells and blood glucose of patients increased, and the more severe the degree of brain injury, the higher the white blood cell count and blood glucose. This study will contribute to the analysis of white blood cell and blood glucose changes and nursing care of patients with craniocerebral injury.

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