Stimulating and Boosting the Immune System by Increasing the Number of White Blood Cells (Leukocytes) to Prevent and Treat some Viral Infections

2020 ◽  
Vol 106 (5) ◽  
Author(s):  
Shallal AF ◽  
Qadir OH
Keyword(s):  
Immune System ◽  
Blood Cells ◽  
Viral Infections ◽  
White Blood Cells

scholarly journals Association between serum markers of the humoral immune system and inflammation in the Swedish AMORIS study

2020 ◽  
Author(s):  
aida santaolalla ◽  
Sam Sollie ◽  
Ali Rislan ◽  
Debra H. Josephs ◽  
Niklas Hammar ◽  
...  
Keyword(s):  
Immune System ◽  
Educational Level ◽  
Blood Cells ◽  
Adaptive Response ◽  
White Blood Cells ◽  
Principal Component ◽  
Serum Markers ◽  
Response Component ◽  
Humoral Immune ◽  
Humoral Immune System

Abstract Background: Although the onset of inflammatory cascades may profoundly influence the nature of antibody responses, the interplay between inflammatory and humoral (antibody) immune markers remains unclear. Thus, we explored the reciprocity between the humoral immune system and inflammation and assessed how external socio-demographic factors may influence these interactions.Methods: From the AMORIS cohort, 5,513 individuals were identified with baseline measurements of serum humoral immune (immunoglobulin G, A & M (IgG, IgA, IgM)) and inflammation (C-reactive protein (CRP), albumin, haptoglobin, white blood cells (WBC), iron and total iron-binding capacity) markers measured on the same day. Correlation analysis, principal component analysis and hierarchical clustering were used to evaluate biomarkers correlation, variation and associations. Multivariate analysis of variance was used to assess associations between biomarkers and educational level, socio-economic status, sex and age.Results: Frequently used serum markers for inflammation, CRP, haptoglobin and white blood cells, correlated together. Hierarchical clustering and principal component analysis confirmed the interaction between these main biological responses, showing an acute response component (CRP, Haptoglobin, WBC, IgM) and adaptive response component (Albumin, Iron, TIBC, IgA, IgG). A socioeconomic gradient associated with worse health outcomes was observed, specifically low educational level, older age and male sex were associated with serum levels that indicated infection and inflammation.Conclusions: These findings indicate that serum markers of the humoral immune system and inflammation closely interact in response to infection or inflammation. Clustering analysis presented two main immune response components: an acute and an adaptive response, comprising markers of both biological pathways. Future studies should shift from single internal marker assessment to multiple humoral and inflammation serum markers combined, when assessing risk of clinical outcomes such as cancer.

Reference Values for Selected Blood Parameters in Rabbits: Effects of Age and Physiological Status

2019 ◽  
Author(s):  
M. J. Argente ◽  
D. M. Abad-Salazar ◽  
E. M. Bermejo-González ◽  
M. L. Garcíaz ◽  
A. López-Palazón
Keyword(s):  
Animal Model ◽  
Immune System ◽  
Health Status ◽  
Blood Cells ◽  
White Blood Cells ◽  
Blood Parameters ◽  
Physiological Status ◽  
Immune Challenge ◽  
Leukocyte Counts ◽  
Over Time

Rabbit is widely used as an experimental animal model in infectious and non-infectious diseases. The haematologic data can be helpful in evaluating the health status of animals over time. The aim of this study was to determine the levels of red blood cells (RBC), white blood cells (WBC) and differential leukocyte counts in 5 nulliparous and 5 multiparous females, i.e. in young and older animals, at mating and at delivery. The values of RBC did not change with age, but WBC and lymphocytes decreased with age, a -33% and a -60% less in multiparous females than nulliparous ones. Monocytes count was double at delivery than at mating. In conclusion, aging on the immune system is manifested as reduction in production of mature lymphocytes and as a result, older females would not respond to immune challenge as robustly as the young ones. Physiological status is only related to production of monocytes.

scholarly journals Electrodeformation of White Blood Cells Enriched with Gold Nanoparticles

2021 ◽  
Author(s):  
Nicholas G. Hallfors ◽  
Jeremy M. Teo ◽  
Peter Bertone ◽  
Chakra Joshi ◽  
Ajymurat Orozaliev ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Immune System ◽  
Blood Cells ◽  
Microelectrode Array ◽  
White Blood Cells ◽  
Valuable Insight ◽  
System Activity ◽  
Combined Use ◽  
Insight Into

The elasticity of white blood cells (WBCs) provides valuable insight into the condition of the cells themselves, the presence of some diseases, as well as immune system activity. In this work, we describe a novel process of refined control of WBCs elasticity through a combined use of gold nanoparticles (AuNPs) and the microelectrode array device. The capture and controlled deformation of gold nanoparticles enriched white blood cells in vitro are demonstrated and quantified. Gold nanoparticles enhance the effect of electrically induced deformation and make the DEP related processes more controllable.

scholarly journals Gene expressions involved in immune system control and serum CA125 content in polycythemia vera. Tap

2020 ◽  
Vol 42 (1) ◽  
Author(s):  
Do Thi Trang ◽  
Nguyen Thi Xuan
Keyword(s):  
Immune System ◽  
Polycythemia Vera ◽  
Immune Tolerance ◽  
Blood Cells ◽  
Myeloproliferative Neoplasms ◽  
Tyrosine Phosphatase ◽  
White Blood Cells ◽  
System Control ◽  
Gene Expressions ◽  
Gene Group

Polycythemia Vera (PV) is a slowly progressing blood cancer associated with myeloproliferative neoplasms. The disease is characterized by an abnormal proliferation of three cell types including red blood cells, white blood cells and platelets and a symptom of pruritus caused by release of itching agents of activated mast cells. The enhanced expression of several genes involved in immune system control including CTLA-4, PD-1 and LAG3 are linked to activation immune tolerance. Klotho gene has anti-aging, anti-inflammation and anti-cancer functions. The SHP gene group belongs to the tyrosine phosphatase protein signaling family that regulates cancer cell proliferation through maturation, migration and apoptosis and includes two main genes, SHP-1 and SHP-2. The increased serum content of cancer antigen CA125 is considered as a cancer marker of several blood and hematopoietic disorders. In this study, we conducted experiments to determine mRNA expression of above genes in PV patients by realtime-PCR and CA125 concentration by ELISA. Results showed that expression of klotho, LAG3, CTLA-4 and PD-1 genes was decreased in PV patients, indicating that the immune tolerance was inactivated in PV patients. CA125 concentration was significantly increased in PV patients compared to healthy individuals and interestingly, there was a positive association among three patients, who having increased CA125 concentration and biochemical indicators including LDH, AST and ALT. The results in this study provide an important reference document for further studies that serve for the early detection of PV disease. 

scholarly journals Association between serum markers of the humoral immune system and inflammation in the Swedish AMORIS study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Aida Santaolalla ◽  
Sam Sollie ◽  
Ali Rislan ◽  
Debra H. Josephs ◽  
Niklas Hammar ◽  
...  
Keyword(s):  
Immune System ◽  
Educational Level ◽  
Blood Cells ◽  
Adaptive Response ◽  
White Blood Cells ◽  
Principal Component ◽  
Serum Markers ◽  
Response Component ◽  
Humoral Immune ◽  
Humoral Immune System

Abstract Background Although the onset of inflammatory cascades may profoundly influence the nature of antibody responses, the interplay between inflammatory and humoral (antibody) immune markers remains unclear. Thus, we explored the reciprocity between the humoral immune system and inflammation and assessed how external socio-demographic factors may influence these interactions. From the AMORIS cohort, 5513 individuals were identified with baseline measurements of serum humoral immune [immunoglobulin G, A & M (IgG, IgA, IgM)] and inflammation (C-reactive protein (CRP), albumin, haptoglobin, white blood cells (WBC), iron and total iron-binding capacity) markers measured on the same day. Correlation analysis, principal component analysis and hierarchical clustering were used to evaluate biomarkers correlation, variation and associations. Multivariate analysis of variance was used to assess associations between biomarkers and educational level, socio-economic status, sex and age. Results Frequently used serum markers for inflammation, CRP, haptoglobin and white blood cells, correlated together. Hierarchical clustering and principal component analysis confirmed the interaction between these main biological responses, showing an acute response component (CRP, Haptoglobin, WBC, IgM) and adaptive response component (Albumin, Iron, TIBC, IgA, IgG). A socioeconomic gradient associated with worse health outcomes was observed, specifically low educational level, older age and male sex were associated with serum levels that indicated infection and inflammation. Conclusions These findings indicate that serum markers of the humoral immune system and inflammation closely interact in response to infection or inflammation. Clustering analysis presented two main immune response components: an acute and an adaptive response, comprising markers of both biological pathways. Future studies should shift from single internal marker assessment to multiple humoral and inflammation serum markers combined, when assessing risk of clinical outcomes such as cancer.

scholarly journals Association between serum markers of the humoral immune system and inflammation in the Swedish AMORIS study

2020 ◽  
Author(s):  
aida santaolalla ◽  
Sam Sollie ◽  
Ali Rislan ◽  
Debra H. Josephs ◽  
Niklas Hammar ◽  
...  
Keyword(s):  
Immune System ◽  
Educational Level ◽  
Blood Cells ◽  
Adaptive Response ◽  
White Blood Cells ◽  
Principal Component ◽  
Serum Markers ◽  
Response Component ◽  
Humoral Immune ◽  
Humoral Immune System

Abstract Background: Although the onset of inflammatory cascades may profoundly influence the nature of antibody responses, the interplay between inflammatory and humoral immune markers remains unclear. Thus, we explored the reciprocity between the humoral immune system and inflammation and assessed how external socio-demographic factors influence these interactions.Methods: From the AMORIS cohort, 5,513 individuals were identified with baseline measurements of serum humoral immune (immunoglobulin G, A & M) and inflammation (CRP, albumin, haptoglobin, white blood cells, iron & total iron-binding capacity) markers measured on the same day. Correlation analysis, principal component analysis and hierarchical clustering were used to evaluate biomarkers correlation, variation and associations. Multivariate analysis of variance was used to assess associations between biomarkers and educational level, socio-economic status, sex and age.Results: Frequently used serum markers for inflammation, CRP, haptoglobin and white blood cells, correlated together. Markers of the humoral immune system, immunoglobulin A and G, also correlated together. Hierarchical clustering and principal component analysis confirmed the interaction between these main biological responses, showing an acute response component (CRP, Haptoglobin, WBC, IgM) and adaptive response component (Albumin, Iron, TIBC, IgA, IgG). A socioeconomic gradient associated with worse health outcomes was observed, specifically low educational level, older age and male sex were associated with serum levels that indicated infection and inflammation.Conclusions: These findings indicate that serum markers of the humoral immune system and inflammation closely interact in response to infection or inflammation. Correlation and clustering analysis presented two main immune response components: an acute and an adaptive response, comprising markers of both biological pathways. Future studies should shift from single internal marker assessment to multiple humoral and inflammation serum markers combined, when assessing risk of clinical outcomes such as cancer.

scholarly journals Reduction of Inflammatory C3 and C4 Complement Proteins in Severe COVID-19 Patients

2020 ◽  
Author(s):  
Ali Ghazavi ◽  
Ghasem Mosayebi ◽  
Nafiesh Keshavarzian ◽  
Somayeh Rabiemajd ◽  
Ali Ganji
Keyword(s):  
Blood Cells ◽  
Viral Infections ◽  
White Blood Cells ◽  
Control Group ◽  
Serum Samples ◽  
Complement Proteins ◽  
And Control ◽  
The Complement System ◽  
Shed Light

Abstract Background: The complement system, consisting of more than 20 soluble proteins, has a key role in innate immunity and inflammation that eliminates pathogens and viral infections. Therefore, we investigated the titer of C3, C4, and total IgG in the serum of the non-severe and severe COVID-19 patients. Methods: For this purpose, peripheral blood samples were collected from 30 non-sever, 30 severe COVID-19 patients, and 30 healthy individuals with similar age and sex as the control group. The amount of total IgG, C3, and C4 were analyzed in the serum samples. Also, white blood cells, platelets (PLTs), and lymphocytes were counted by the auto-analyzer. Results: White blood cells had no difference between patients and control groups. The results showed a significant decrease in lymphocyte and PLTs in COVID-19 patients compare to control. Complement proteins including C3 and C4 were increased in non-severe COVID-19 patients than the other groups. Total IgG showed a notable decrease in severe patients. In conclusion, the level of C3 and C4 complement proteins were increased in non-severe-COVID-19 patients; however, in the severe COVID-19 patients their concentrations were decreased. Conclusion: However, inflammatory C3 and C4 complement factors increase in non-severe COVID-19, it decreased in the severe patients that may be because of more consumption by the formation of the immune complex. These results can shed light on the inflammatory role of C3 and C4 proteins in various phases of the disease and could provide a basis for further exploration of the pathophysiological significance and can suggest them for specific interventions.

scholarly journals Subclass Separation of White Blood Cell Images Using Convolutional Neural Network Models

2019 ◽  
Vol 25 (5) ◽  
pp. 63-68 ◽  
Author(s):  
Mesut Togacar ◽  
Burhan Ergen ◽  
Mehmet Emre Sertkaya
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Immune System ◽  
Blood Cell ◽  
Convolutional Neural Network ◽  
White Blood Cell ◽  
Blood Cells ◽  
White Blood Cells ◽  
Network Models ◽  
Neural Network Models

The white blood cells produced in the bone marrow and lymphoid tissue known as leucocytes are an important part of the immune system to protect the body against foreign invaders and infectious disease. These cells, which do not have color, have a few days or several weeks of life. A lot of clinic experience is required for a doctor to detect the amount of white blood cells in human blood and classify it. Thus, early and accurate diagnosis can be made in the formation of various disease types, including infection on the immune system, such as anemia and leukemia, while evaluating and determining the disease of a patient. The white blood cells can be separated into four subclasses, such as Eosinophil, Lymphocyte, Monocyte, and Neutrophil. This study focuses on the separation of the white blood cell images by the classification process using convolutional neural network models, which is a deep learning model. A deep learning network, which is slow in the training step due to the complex architecture, but fast in the test step, is used for the feature extraction instead of intricate methods. For the subclass separation of white blood cells, the experimental results show that the AlexNet architecture gives the correct recognition rate among the convolutional neural network architectures tested in the study. Various classifiers are performed on the features derived from the AlexNet architecture to evaluate the classification performance. The best performance in the classification of white blood cells is given by the quadratic discriminant analysis classifier with the accuracy of 97.78 %.

Blood Profile of Lymphocyte Lineage Determining Transcription Factor Gata3 May Influence Malaria Disease Outcome of Children in the South of Benin

2019 ◽  
Author(s):  
Capo-chichi CD
Keyword(s):  
Transcription Factor ◽  
Immune System ◽  
Infectious Diseases ◽  
Blood Cells ◽  
White Blood Cells ◽  
African Countries ◽  
Blood Profile ◽  
Two Samples ◽  
Gata3 Expression ◽  
High Level

Background: Child morbidity in African countries including the Republic of Benin, is mostly attributed to parasitic infectious diseases involving malaria. Molecular disorder often underlies the vulnerability of children immune system to infectious diseases. This reduces the ability of immune system to combat appropriately exogen organisms including parasites larva, bacteria or viruses. GATA-3 is a nuclear protein expressed by immune cells and belongs to a family member of the lymphocyte CD4 lineage determining transcription factors inducible by retinoic acid. Thus, GATA3 is one of the main regulators of lymphocyte T-helper 2 (Th2) cell differentiation into mature CD4+ T cells that mediate immunity tocombat exogenmicroorganism involving plasmodium falciparum (pf). The objective of the study is to investigate if children with low or absence of GATA3 expression will be more vulnerable to pf infection and malaria. Methods: This study has received an institutional ethical approval.Preliminary study carried out on cell lysates of peripheral white blood cells isolated from blood samples used for pf counts in Benin Zonal hospital of Calavi/So-Ava diagnosis laboratory involving eighteen children (5-9 years) admitted for fever associated or not to malaria. Immunoblotting (western blot) technic was used to evaluate GATA3 expression in all samples.The presence of pf was determined with microscopic observation of blood thick smears stained with Giemsa. Results: Among the eighteen samples, normal expression of GATA3 was observed in ten, low expression in six while no expression was observed in two samples. Overall, seven samples were positive for pf counts ranging from 350-1500 per mm3 of red blood cells. Infection with pf was not observed in eleven samples. Conclusion: Immune system of children with low GATA3 and high level of pf count will be more vulnerable to infection. Thus, the absence of GATA3 transcription factor could influence the outcome of malaria disease and render children too weak to fight pf infection.The absence of GATA3 may also render them vulnerable to develop allergy or lymphoma in the future.

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