Suchergebnisse

Background: Common variable immunodeficiency (CVID), the most prevalent form of primary immunodeficiency (PID), is characterized by hypogammaglobulinemia and recurrent infections. Understanding protein-protein interaction (PPI) networks of CVID genes and identifying candidate CVID genes are critical steps in facilitating the early diagnosis of CVID. Here, the aim was to investigate PPI networks of CVID genes and identify candidate CVID genes using computation techniques. Methods: Network density and biological distance were used to study PPI data for CVID and PID genes obtained from the STRING database. Gene expression data of patients with CVID were obtained from the Gene Expression Omnibus, and then Pearson's correlation coefficient, a PPI database, and Kyoto Encyclopedia of Genes and Genomes were used to identify candidate CVID genes. We then evaluated our predictions and identified differentially expressed CVID genes. Results: The majority of CVID genes are characterized by a high network density and small biological distance, whereas most PID genes are characterized by a low network density and large biological distance, indicating that CVID genes are more functionally similar to each other and closely interact with one other compared with PID genes. Subsequently, we identified 172 CVID candidate genes that have similar biological functions to known CVID genes, and eight genes were recently reported as CVID-related genes. MYC, a candidate gene, was down-regulated in CVID duodenal biopsies, but up-regulated in blood samples compared with levels in healthy controls. Conclusion: Our findings will aid in a better understanding of the complex of CVID genes, possibly further facilitating the early diagnosis of CVID.[Figure not available: see fulltext.]. © 2019, Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature. ; This study was funded by the Act 211 Government of the Russian Federation (No. 02.A03.21.0006) and the IIP UB RAS project (No. AAAA-A18-118020590108-7).

To understand the current state of the issue of dental manifestations of primary immunodeficiencies, foreign literature on the problem has been analyzed. The article describes the dental manifestations of many primary immunodeficiencies, which can be both secondary and major symptoms. The article presents the data on the following syndromes: severe combined immunodeficiency, hyper IgE, Wiskott - Aldrich, DiGeorge, deficiency of STIM1 and ORAI1, NEMO deficiency and IκBα deficiency, common variable immunodeficiency, X-linked agammaglobulinemia, hyper IgM, selective IgA deficiency, autoimmune lymphoproliferative syndrome, autoimmune polyendocrine syndrome type 1, Chediak - Higashi syndrome, CD70 deficiency, severe congenital neutropenia syndromes, leukocyte adhesion deficiency, localized aggressive periodontitis, Papillon - Lefevre syndrome, chronic mucocutaneous candidiasis, Marshall syndrome, hyper IgD syndrome, Aicardi - Goutières syndrome type 7, cherubism syndrome, CANDLE (chronic atypical neutrophilic dermatosis with lipodystrophy and elevated temperature), PAPA (pyogenic arthritis, pyoderma gangrenosum and acne), chronic recurrent multifocal osteomyelitis, periodontal Ehlers - Danlos syndrome, and C1 inhibitor deficiency. The role of secretory immunoglobulins of salivary fluid is described. © 2019 Siberian State Medical University. All rights reserved. ; Ural Branch, Russian Academy of Sciences, UB RAS: АААА-А18-118020590108-7 ; Sourse of financing. The study was supported by the state order of the Institute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences (topic No. АААА-А18-118020590108-7) as well as by the decree of the Russian Federation Government No. 211, contract No. 02.A03.21.0006.

Immunotherapy, especially anti-PD-1, is becoming a pillar of modern muscle-invasive bladder cancer (MIBC) treatment. However, the objective response rates (ORR) are relatively low due to the lack of precise biomarkers to select patients. Herein, the molecular subtype, tumor mutation burden (TMB), and CD8+ T cells were calculated by the gene expression and mutation profiles of MIBC patients. MIBC immunotypes were constructed using clustering analysis based on tumor mutation burden, CD8+ T cells, and molecular subtypes. Mutated genes, enriched functional KEGG pathways and GO terms, and co-expressed network-specific hub genes have been identified. We demonstrated that ORR of immunotype A patients identified by molecular subtype, CD8+ T cells, and TMB is about 36% predictable. PIK3CA, RB1, FGFR3, KMT2C, MACF1, RYR2, and EP300 are differentially mutated among three immunotypes. Pathways such as ECM-receptor interaction, PI3K-Akt signaling pathway, and TGF-beta signaling pathway are top-ranked in enrichment analysis. Low expression of ACTA2 was associated with the MIBC survival benefit. The current study constructs a model that could identify suitable MIBC patients for immunotherapy, and it is an important step forward to the personalized treatment of bladder cancers. © 2021, The Author(s). ; This study was funded by the Act 211 Government of the Russian Federation (No.02.A03.21.0006) and the IIP UB RAS project (No.AAAA-A18–118020590108-7).