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1.
Eur Ann Allergy Clin Immunol ; 53(3): 115-127, 2021 05.
Article in English | MEDLINE | ID: mdl-32914944

ABSTRACT

Summary: Objective. CD4+T cell subtypes are the central orchestrators of airway inflammation in bronchialasthma (BA); however, the mechanisms that regulate their accumulation in asthmatic airways are still a challenging subject. In addition, neutrophils play a significant role in the development of airway remodeling and their presence may influence clinical presentation of BA being linked to the development of severe BA. Neutrophils have also been found to acquireantigen presenting functions, enabling them to directly activate T cells. The study aimed to evaluate the possible association of chemokine receptor 7 (CCR7)+ memory CD4+T cells andCCR4+ effector T cells with disease severity and immunoglobulin E (IgE) production as well as to explore the relationship between these cells and neutrophil function in both allergic andnon-allergic asthmatic patients. Methods. Flow cytometry was used to determine the expression of different T cell subset phenotypes (CCR7 memory CD4+ and CCR4+T cells using anti-human CD3, CD4, CD45RO, CCR4 and CCR7 monoclonal antibodies) utilizing peripheral blood mononuclear cells (PBMCs) isolated from 78 allergic asthmatic patients, 41 non-allergic asthmatic patients, and 40 healthy individuals. Moreover, neutrophils' phagocytic activity was assessed by ingestion of candida particles. Results. We demonstrated increased percentages of CCR7+ memory CD4+T cells and CCR4+CD4+T cells in patients compared to control, where this up regulation was significantly higher in allergic than non-allergic asthmatic patients. Additionally, these cells were negatively correlated with improved pulmonary tests and significantly associated with disease severity scores and IgE levels. The neutrophil phagocytic activity was markedly increased in patients compared to control, showing a significant positive correlation with disease severity. Conclusions. These findings suggest that increased CCR4+ CD4+ T cells and CCR7+ memory CD4+ T cells (Tcm) may be associated with BA severity, especially in allergic BA patients and can potentially contribute to the rational design of new therapeutic approaches for asthma in the future.


Subject(s)
Asthma/immunology , CD4-Positive T-Lymphocytes/immunology , Immunoglobulin E , Memory T Cells , Receptors, Chemokine/analysis , T-Lymphocyte Subsets/immunology , Adult , Aged , Asthma/diagnosis , Female , Humans , Inflammation Mediators/metabolism , Leukocytes, Mononuclear , Male , Middle Aged , Receptors, CCR7 , Severity of Illness Index
2.
Int J Tuberc Lung Dis ; 21(7): 810-817, 2017 07 01.
Article in English | MEDLINE | ID: mdl-28633707

ABSTRACT

OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from Egyptian patients with active pulmonary tuberculosis (TB) and healthy controls (HCs) and compare them with standard sputum analysis. DESIGN: The study population comprised 260 (140 males, 120 females) newly diagnosed TB patients and 240 (120 males, 120 females) HCs matched by age and socio-economic level admitted to hospitals specialising in chest diseases in Alexandria, Behera, Giza and Damietta Governorates, Egypt. Participants provided a history of TB and underwent clinical examinations, chest X-ray, and microbiological and e-nose analyses. Biological samples (blood, breath, sputum and urine) were collected. RESULTS AND CONCLUSION: Being a confirmed TB patient was directly proportional to e-nose 10-sensor responses. Principal component analysis clusters showed a clear distinction between TB and HC groups, with variances of 93%, 85%, 75% and 95% for blood, breath, sputum and urine samples, respectively. Overall accuracy, sensitivity and specificity of the artificial neural network (ANN) analysis for classifying samples were >99%. The e-nose successfully distinguished TB patients from HC participants for all measured biological samples with great precision. With urine samples gaining broader acceptance for clinical diagnosis, an e-nose-based ANN can be a very useful tool for low-cost mass screening and early detection of TB patients in developing countries.


Subject(s)
Electronic Nose , Neural Networks, Computer , Sputum/microbiology , Tuberculosis, Pulmonary/diagnosis , Adolescent , Adult , Aged , Case-Control Studies , Egypt , Female , Humans , Male , Mass Screening/methods , Middle Aged , Principal Component Analysis , Sensitivity and Specificity , Socioeconomic Factors , Young Adult
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