Dynamics of the innate immune response profile in patients with coronary heart disease at different times after coronary artery stenting

Introduction. Atherosclerosis is accompanied by damage to the vascular endothelium of the arteries, where an inflammatory response develops and an atherosclerotic plaque forms. And an important component here is innate immunity, which is the key and earliest non-specific mechanism.Оbjective: a comprehensive assessment of the cellular link of innate immunity, and comparison of the results obtained at various times after coronary stenting.Materials and Methods: The study involved 50 patients with coronary atherosclerosis (Group 1), who are indicated for stenting of the coronary arteries and 20 volunteers (Group 2), who have no signs of coronary artery disease. The study of immunity parameters was carried out before surgery, after 4-5, 9-10 and 28-30 days, which was the early postoperative period, as well as 6 and 12 months after stenting, i.e. in the late postoperative period. Phenotyping of peripheral blood monocytes and lymphocytes was performed by flow cytometry using monoclonal antibodies manufactured by Beckman Coulter (USA). The intracellular content of Granzyme B was carried out on a FC500 flow laser cytofluorimeter. The metabolic activity of neutrophils was assessed in the NBT test. Alpha defensin (Hycult biotech, USA) was determined in blood plasma by ELISA. Statistical analysis of the study results was performed using the Statistica 12.0 program (StatSoft, USA). Statistical significance was considered significant at p ≤ 0.05.Results: in patients with coronary atherosclerosis, the number of natural killers and their activity, monocytes, increases. There is an inhibition of antigen presentation processes, an imbalance in the microbicidal activity of neutrophils with a predominance of secretion of antimicrobial peptides. In the early period, significant changes only affected the decrease in the content of intracellular granzyme B on days 4-5, the expression of TLR4 and HLA DR on days 4-5 and 9-10. In the late postoperative period, in patients with coronary artery disease, there is a significant decrease in the content of lymphocytes: CD3+CD16+, CD16+Gr+, monocytes: CD14+CD282+, CD14+CD284+, CD14+CD289+, HBT-test activity and α-defensin content, and the number of monocytes expressing HLA DR increases.Conclusions: in patients with coronary heart disease, there are changes in the cellular component of innate immunity, indicating persistent inflammation. The dynamics of the revealed changes as a result of the performed stenting reflects the lability of the assessed indicators to a greater extent in the late postoperative period, which can serve as the basis for predicting the outcome of coronary stentin

Identification of Phylogenetic Position in the Chlamydiaceae Family for Chlamydia Strains Released from Monkeys and Humans with Chlamydial Pathology

Based on the results of the comparative analysis concerning relatedness and evolutional difference of the 16S–23S nucleotide sequences of the middle ribosomal cluster and 23S rRNA I domain, and based on identification of phylogenetic position for Chlamydophila pneumoniae and Chlamydia trichomatis strains released from monkeys, relatedness of the above stated isolates with similar strains released from humans and with strains having nucleotide sequences presented in the GenBank electronic database has been detected for the first time ever. Position of these isolates in the Chlamydiaceae family phylogenetic tree has been identified. The evolutional position of the investigated original Chlamydia and Chlamydophila strains close to analogous strains from the Gen-Bank electronic database has been demonstrated. Differences in the 16S–23S nucleotide sequence of the middle ribosomal cluster and 23S rRNA I domain of plasmid and nonplasmid Chlamydia trachomatis strains released from humans and monkeys relative to different genotype groups (group B-B, Ba, D, Da, E, L1, L2, L2a; intermediate group-F, G, Ga) have been revealed for the first time ever. Abnormality in incA chromosomal gene expression resulting in Chlamydia life development cycle disorder, and decrease of Chlamydia virulence can be related to probable changes in the nucleotide sequence of the gene under consideratio

Toward personalization of asthma treatment according to trigger factors

Asthma is a severe and chronic disabling disease affecting more than 300 million people worldwide. Although in the past few drugs for the treatment of asthma were available, new treatment options are currently emerging, which appear to be highly effective in certain subgroups of patients. Accordingly, there is a need for biomarkers that allow selection of patients for refined and personalized treatment strategies. Recently, serological chip tests based on microarrayed allergen molecules and peptides derived from the most common rhinovirus strains have been developed, which may discriminate 2 of the most common forms of asthma, that is, allergen- and virus-triggered asthma. In this perspective, we argue that classification of patients with asthma according to these common trigger factors may open new possibilities for personalized management of asthma.Fil: Niespodziana, Katarzyna. Vienna University of Technology; AustriaFil: Borochova, Kristina. Vienna University of Technology; AustriaFil: Pazderova, Petra. Vienna University of Technology; AustriaFil: Schlederer, Thomas. Vienna University of Technology; AustriaFil: Astafyeva, Natalia. Saratov State Medical University; RusiaFil: Baranovskaya, Tatiana. Belarusian Medical Academy of Post Diploma Studies; BielorrusiaFil: Barbouche, Mohamed Ridha. Institut Pasteur de Tunis; TúnezFil: Beltyukov, Evgeny. Ural State Medical University; RusiaFil: Berger, Angelika. Vienna University of Technology; AustriaFil: Borzova, Elena. Russian Medical Academy of Continuous Professional Education; RusiaFil: Bousquet, Jean. MACVIA; Francia. Humboldt-Universität zu Berlin; AlemaniaFil: Bumbacea, Roxana S.. University of Medicine and Pharmacy "Carol Davila"; RumaniaFil: Bychkovskaya, Snezhana. Krasnoyarsk Medical University; RusiaFil: Caraballo, Luis. Universidad de Cartagena; ColombiaFil: Chung, Kian Fan. Imperial College London; Reino Unido. MRC and Asthma UK Centre in Allergic Mechanisms of Asthma; Reino UnidoFil: Custovic, Adnan. Imperial College London; Reino Unido. MRC and Asthma UK Centre in Allergic Mechanisms of Asthma; Reino UnidoFil: Docena, Guillermo H.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Estudios Inmunológicos y Fisiopatológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Estudios Inmunológicos y Fisiopatológicos; ArgentinaFil: Eiwegger, Thomas. University Of Toronto. Hospital For Sick Children; CanadáFil: Evsegneeva, Irina. Sechenov First Moscow State Medical University; RusiaFil: Emelyanov, Alexander. North-Western Medical University; RusiaFil: Errhalt, Peter. University Hospital Krems and Karl Landsteiner University of Health Sciences; AustriaFil: Fassakhov, Rustem. Kazan Federal University; RusiaFil: Fayzullina, Rezeda. Bashkir State Medical University; RusiaFil: Fedenko, Elena. NRC Institute of Immunology FMBA of Russia; RusiaFil: Fomina, Daria. Sechenov First Moscow State Medical University; RusiaFil: Gao, Zhongshan. Zhejiang University; ChinaFil: Giavina Bianchi, Pedro. Universidade de Sao Paulo; BrasilFil: Gotua, Maia. David Tvildiani Medical University; GeorgiaFil: Greber Platzer, Susanne. Vienna University of Technology; AustriaFil: Hedlin, Gunilla. Karolinska Huddinge Hospital. Karolinska Institutet; Sueci

Redistribution of TNF Receptor 1 and 2 Expression on Immune Cells in Patients with Bronchial Asthma

Background: The co-expression patterns of type 1 and 2 tumor necrosis factor (TNF)-α membrane receptors (TNFR1/TNFR2) are associated with the presence, stage, and activity of allergic diseases. The aim of this study was to assess the expression levels and dynamics of TNFRs on immune cells and to assess associations between their expression and severity of bronchial asthma (BA). Methods: Patients with severe (n = 8), moderate (n = 10), and mild (n = 4) BA were enrolled. As a comparison group, data from 46 healthy volunteers (HV) were accessed. Co-expression of TNFR1/2 was evaluated as a percentage of cells and the number of receptors of each type per cell. Multivariate logistic regression analysis was used to identify diagnostic biomarkers of BA. Results: More than 90% of the monocytes in patients with mild BA were TNFR1+TNFR2+ but had significantly lower TNFR1 expression density compared with HV (7.82- to 14.08-fold, depending on disease severity). Lower percentages of the TNFR+ B-lymphocytes were observed in combination with significantly lower receptors density in BA compared with HV (2.59- to 11.64-fold for TNFR1 and 1.72- to 3.4-fold for TNFR2, depending on disease severity). The final multivariate model for predicting the presence of BA included the percentage of double-positive CD5+ B-lymphocytes and average number of TNFR1 molecules expressed on cytotoxic naive T-lymphocytes and T-helper cells (R2 = 0.87). Conclusions: The co-expression patterns of TNFRs on immune cells in BA differed significantly compared with HV. The expression differences were associated with disease severity. TNFR1 expression changes were key parameters that discriminated patients with BA from those with HV

The Influence of Severity and Disease Duration on TNF Receptors’ Redistribution in Asthma and Rheumatoid Arthritis

One of the mechanisms of cellular dysfunction during the chronization of immune-system-mediated inflammatory diseases is a change in the profile of expression and co-expression of receptors on cells. The aim of this study was to compare patterns of redistribution of TNF receptors (TNFRs) among patients with different durations of rheumatoid arthritis (RA) or asthma. Subgroup analysis was performed on RA (n = 41) and asthma (n = 22) patients with disease duration10 years and on 30 comparable healthy individuals. The co-expression profile of TNFR1 and TNFR2 was assessed in T cells, B cells, monocytes, regulatory T cells, T-helper subsets, and cytotoxic T-lymphocyte subsets. Percentages of cells with different co-expression combinations and receptor density per cell were estimated. Longer disease duration was significantly associated with a redistribution of receptors in immunocompetent cell subsets with an increase in the expression of TNFR1 in asthma but did not correlate with significant unidirectional changes in receptor expression in RA. In asthma, a higher proportion of cells with a certain type of TNF receptor (as compared with the healthy group) was correlated with a simultaneous greater density of this receptor type. In RA, an inverse correlation was observed (compensatory lower receptor density). Mechanisms of long-term changes in the expression of TNF receptors differ significantly between the diseases of autoimmune and allergic etiology. The formation of irreversible morphostructural alterations was strongly correlated with changes in the expression of TNFR1 in asthma and with changes in the expression of TNFR2 in RA

Co-Expression Profile of TNF Membrane-Bound Receptors Type 1 and 2 in Rheumatoid Arthritis on Immunocompetent Cells Subsets

Introduction: Tumor necrosis factor (TNFα) is an important proinflammatory cytokine in rheumatoid arthritis (RA) immune processes. However, TNFα activity and functions may be regulated by soluble receptors, which act as decoys, and by number, density, and co-expression of its membrane-bound receptors type 1 and 2 (TNFR1 and TNFR2). The aim of this study was to reveal associations between TNFR1/2 co-expression profile parameters and RA disease activity indicators. Methods: PBMC were analyzed from 46 healthy donors and 64 patients with RA using flow cytometry. Patients were divided according to the disease activity score (DAS) 28 index into groups with high (n = 22, 34.4%), moderate (n = 30, 46.9%), and low (n = 12, 18.8%) disease activity. Co-expression of TNFR1 and TNFR2 was studied by evaluating the percentage of cells, with different receptors, and by counting the number of receptors of each type per cell, using QuantiBritePE beads. Associations between disease severity and activity indicators and parameters of TNFα receptor expression in subpopulations of immune cells were studied. Results: T cell subsets from RA patients were characterized by co-expression of TNFR1 and TNFR2, and were found to differ significantly compared with healthy donors. Memory cells both among T helper cells and cytotoxic T cells demonstrated the most significant differences in TNFR-expression profile. Multivariable logistic regression revealed model to identified RA patients from healthy individual based on the TNFR1/2 co-expression parameters. Conclusion: The profile of TNFR12 co-expression differs in RA comparing with health. Proportion of TNFR1+TNFR2- cells increased significantly among memory T helper cells and activated cytotoxic T cells, and decreased significantly among naïve cytotoxic T cells and T regulatory cells as compared with health. The parameters of TNFR12 co-expression in RA are associated with clinical and laboratory indicators of disease activity

Toward personalization of asthma treatment according to trigger factors

International audienceAsthma is a severe and chronic disabling disease affecting more than 300 million people worldwide. Although in the past few drugs for the treatment of asthma were available, new treatment options are currently emerging, which appear to be highly effective in certain subgroups of patients. Accordingly, there is a need for biomarkers that allow selection of patients for refined and personalized treatment strategies. Recently, serological chip tests based on microarrayed allergen molecules and peptides derived from the most common rhinovirus strains have been developed, which may discriminate 2 of the most common forms of asthma, that is, allergen- and virus-triggered asthma. In this perspective, we argue that classification of patients with asthma according to these common trigger factors may open new possibilities for personalized management of asthma