156 research outputs found

    Additional Pathogenic Pathways in RBCK1 Deficiency

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    RBCK1 deficiency is a rare congenital autoinflammatory disease that causes inflammatory disruption on the molecular level. This deficiency has three major clinical manifestations: increased sensitivity to bacterial infections, autoinflammation syndrome, and the accumulation of amylopectin in skeletal muscle. The amylopectinosis causes myopathy and cardiomyopathy. The pathogenesis of the disease is poorly investigated and may include unnoticed relationships. We performed gene expression analysis on patients with RBCK1 deficiency and three other autoinflammatory diseases. The identification of differentially expressed genes revealed a large number of downregulated genes that are involved in the activation of essential metabolic and immune pathways, including NF-kB and Pi3k-Akt-mTOR. Signaling pathways were analysed using the KEGG (Kyoto Encyclopedia of Genes and Genomes) and Gene Ontology resource. Predicted protein-protein interactions were retrieved from the STRING (Search Tool for the Retrieval of Interacting proteins database). Besides the primary involvement of RBCK1 in disease pathology, several downregulated pathways aggravate symptoms of myopathy, cardiomyopathy, and bacterial disease. The studied pathways may serve as new targets for the development of compensatory therapies for patients with RBCK1 deficiency. © 2022, Mathematical Biology and Bioinformatics. All rights reserved

    Identifying Main Genes and Pathways by Using Gene Expression Profiling in Primary Immunodeficiency HOIL-1/RBCK1 Disorder Patients

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    HOIL-1/RBCK1 deficiency is a new autosomal receiving disorder with dysfunctional cellular responses to pro-inflammatory cytokines, leading to auto-inflammation, pyogenic bacterial disease, and muscle amylopectinosis growth. Our study with integrated bioinformatics studies of the feature genes and the correlative gene functions, investigated the molecular mechanisms of RBCK1 deficiency. GSE31064 dataset expression profile was downloaded from the Omnibus Gene Expression database. between RBCK1, MYDK88, NEMO deficient fibroblast, and healthy fibroblast specimens, differentially expressed genes (DEGs) were defined. Gene ontology (GO) gene role enrichment analysis and the Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis were performed using the Annotation, Visualization and Integrated Discovery Database (DAVID). The protein-protein interaction (PPI) of these DEGs was visualized using Cytoscape. GO analysis revealed that the “Skeletal system development, Extracellular matrix organization, Positive regulation of cell migration, Negative regulation of canonical Wnt signaling pathway, Cell adhesion, Angiogenesis and Negative regulation of BMP signaling pathway, Serine-type carboxypeptidase activity, Polysaccharide binding, Calcium ion binding, frizzled binding, Neuropilin binding, and cell adhesion molecule binding, extracellular exosome, extracellular space, extracellular region, lysosomal lumen, endoplasmic reticulum lumen, cell surface and focal adhesion to BP, MF, and CC, respectively. The study of the KEGG pathway showed that the complement and coagulation cascade, interactions of the ECM receptor, PI3K-Akt signaling pathway, PPAR signaling pathway, TGF-beta signaling pathway, cancer pathway, viral carcinogenesis and focal adhesion pathway were closely correlated with the incidence of RBCK1 deficiency. Importantly, it has been predicted that TK1, AURKB, CDCA2, UBE2C, KIFC1, CEP55, CDCA3, GINS2, MCM6 and CDC45 are significantly associated with RCBK1 deficiency. Our study offers a record of damaged genes and pathways in RCBK1, which will boost the understanding of RBCK1 deficiency pathogenesis and other inherent immunodeficiency diseases. This research has the potential and can possibly use in the clinic for diagnosis and targeted therapy of HOIL-1/RBCK1 disorder and other inherent immunodeficiencies. © 2021 Tehran University of Medical Sciences. All rights reserved.The work was carried out in accordance with the plan of the IIP UB RAS AAA-A21-121012090091-6. Computations were performed on the Uran supercomputer at the IMM UB RAS

    Proteomic analysis of morphologically changed tissues after prolonged dexamethasone treatment

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    Prolonged dexamethasone (Dex) administration leads to serious adverse and decrease brain and heart size, muscular atrophy, hemorrhagic liver, and presence of kidney cysts. Herein, we used an untargeted proteomic approach using liquid chromatography-tandem mass spectrometry (LC-MS/MS) for simultaneous identification of changes in proteomes of the major organs in Sprague-Dawley (SD rats post Dex treatment. The comparative and quantitative proteomic analysis of the brain, heart, muscle, liver, and kidney tissues revealed differential expression of proteins (n = 190, 193, 39, 230, and 53, respectively) between Dex-treated and control rats. Functional network analysis using ingenuity pathway analysis (IPA revealed significant differences in regulation of metabolic pathways within the morphologically changed organs that related to: (i) brain-cell morphology, nervous system development, and function and neurological disease; (ii) heart-cellular development, cellular function and maintenance, connective tissue development and function; (iii) skeletal muscle-nucleic acid metabolism, and small molecule biochemical pathways; (iv) liver-lipid metabolism, small molecular biochemistry, and nucleic acid metabolism; and (v) kidney-drug metabolism, organism injury and abnormalities, and renal damage. Our study provides a comprehensive description of the organ-specific proteomic profilesand differentially altered biochemical pathways, after prolonged Dex treatement to understand the molecular basis for development of side effects

    Accelerating the laser-induced demagnetization of a ferromagnetic film by antiferromagnetic order in an adjacent layer

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    We study the ultrafast demagnetization of Ni/NiMn and Co/NiMn ferromagnetic/antiferromagnetic bilayer systems after excitation by a laser pulse. We probe the ferromagnetic order of Ni and Co using magnetic circular dichroism in time-resolved pump-probe resonant x-ray reflectivity. Tuning the sample temperature across the antiferromagnetic ordering temperature of the NiMn layer allows us to investigate effects induced by the magnetic order of the latter. The presence of antiferromagnetic order in NiMn speeds up the demagnetization of the ferromagnetic layer, which is attributed to bidirectional laser-induced superdiffusive spin currents between the ferromagnetic and the antiferromagnetic layer

    Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, in Silico Analysis

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    Hennekam lymphangiectasia-lymphedema syndrome has been linked to single-nucleotide polymorphisms in the CCBE1 (collagen and calcium-binding EGF domains 1) gene. Several bioinformatics methods were used to find the most dangerous nsSNPs that could affect CCBE1 structure and function. Using state-of-the-art in silico tools, this study examined the most pathogenic nonsynonymous single-nucleotide polymorphisms (nsSNPs) that disrupt the CCBE1 protein and extracellular matrix remodeling and migration. Our results indicate that seven nsSNPs, rs115982879, rs149792489, rs374941368, rs121908254, rs149531418, rs121908251, and rs372499913, are deleterious in the CCBE1 gene, four (G330E, C102S, C174R, and G107D) of which are the highly deleterious, two of them (G330E and G107D) have never been seen reported in the context of Hennekam syndrome. Twelve missense SNPs, rs199902030, rs267605221, rs37517418, rs80008675, rs116596858, rs116675104, rs121908252, rs147974432, rs147681552, rs192224843, rs139059968, and rs148498685, are found to revert into stop codons. Structural homology-based methods and sequence homology-based tools revealed that 8.8% of the nsSNPs are pathogenic. SIFT, PolyPhen2, M-CAP, CADD, FATHMM-MKL, DANN, PANTHER, Mutation Taster, LRT, and SNAP2 had a significant score for identifying deleterious nsSNPs. The importance of rs374941368 and rs200149541 in the prediction of post-translation changes was highlighted because it impacts a possible phosphorylation site. Gene-gene interactions revealed CCBE1's association with other genes, showing its role in a number of pathways and coexpressions. The top 16 deleterious nsSNPs found in this research should be investigated further in the future while researching diseases caused CCBE1 gene specifically HS. The FT web server predicted amino acid residues involved in the ligand-binding site of the CCBE1 protein, and two of the substitutions (R167W and T153N) were found to be involved. These highly deleterious nsSNPs can be used as marker pathogenic variants in the mutational diagnosis of the HS syndrome, and this research also offers potential insights that will aid in the development of precision medicines. CCBE1 proteins from Hennekam syndrome patients should be tested in animal models for this purpose. © 2021 Khyber Shinwari et al.The work was carried out within the framework of state research at the Institute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences, project number AAAA-A21-121012090091-6

    Novel Disease-Associated Missense Single-Nucleotide Polymorphisms Variants Predication by Algorithms Tools and Molecular Dynamics Simulation of Human TCIRG1 Gene Causing Congenital Neutropenia and Osteopetrosis

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    T Cell Immune Regulator 1, ATPase H + Transporting V0 Subunit A3 (TCIRG1 gene provides instructions for making one part, the a3 subunit, of a large protein complex known as a vacuolar H + -ATPase (V-ATPase). V-ATPases are a group of similar complexes that act as pumps to move positively charged hydrogen atoms (protons) across membranes. Single amino acid changes in highly conserved areas of the TCIRG1 protein have been linked to autosomal recessive osteopetrosis and severe congenital neutropenia. We used multiple computational approaches to classify disease-prone single nucleotide polymorphisms (SNPs) in TCIRG1. We used molecular dynamics analysis to identify the deleterious nsSNPs, build mutant protein structures, and assess the impact of mutation. Our results show that fifteen nsSNPs (rs199902030, rs200149541, rs372499913, rs267605221, rs374941368, rs375717418, rs80008675, rs149792489, rs116675104, rs121908250, rs121908251, rs121908251, rs149792489 and rs116675104) variants are likely to be highly deleterious mutations as by incorporating them into wild protein they destabilize the wild protein structure and function. They are also located in the V-ATPase I domain, which may destabilize the structure and impair TCIRG1 protein activation, as well as reduce its ATPase effectiveness. These mutants have not yet been identified in patients suffering from CN and osteopetrosis while (G405R, R444L, and D517N) reported in our study are already associated with osteopetrosis. Mutation V52L reported in our study was identified in a patient suspected for CN. Finally, these mutants can help to further understand the broad pool of illness susceptibilities associated with TCIRG1 catalytic kinase domain activation and aid in the development of an effective treatment for associated diseases. Copyright © 2022 Shinwari, Rehman, Liu, Bolkov, Tuzankina and Chereshnev.Ural Branch, Russian Academy of Sciences, UB RAS: AAAA-A21-121012090091-6The work was carried out within the framework of research at the Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences, project number AAAA-A21-121012090091-6

    Analysis of the TREC and KREC Levels in the Dried Blood Spots of Healthy Newborns with Different Gestational Ages and Weights

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    Inborn errors of immunity can be detected by evaluating circular DNA (cDNA) fragments of T-and B-cell receptors (TREC and KREC) resulting from the receptor gene rearrangement in T and B cells. Maturation and activation of the fetal immune system is known to proceed gradually according to the gestational age, which highlights the importance of the immune status in premature infants at different gestational ages. In this article, we evaluated TREC and KREC levels in infants of various gestational ages by real-time PCR with taking into account the newborn’s weight and sex. The 95% confidence intervals for TREC and KREC levels (expressed in the number of cDNA copies per 105 cells) were established for different gestational groups. The importance of studying immune system development in newborns is informed by the discovered dependence of the level of naive markers on the gestational stage in the early neonatal period. © 2022 National Research University Higher School of Economics. This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
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