ABSTRACT
Alternative splicing is the process of generating different mRNAs from the same primary transcript, which contributes to increase the transcriptome and proteome diversity. Abnormal splicing has been associated with the development of several diseases including cancer. Given that mutations and abnormal levels of the RIPK2 transcript and RIP-2 protein are frequent in tumors, and that RIP-2 modulates immune and inflammatory responses, we investigated alternative splicing events that result in partial deletions of the kinase domain at the N-terminus of RIP-2. We also investigated the structure and expression of the RIPK2 truncated variants and isoforms in different environments. In addition, we searched data throughout Supraprimates evolution that could support the biological importance of RIPK2 alternatively spliced products. We observed that human variants and isoforms were differentially regulated following temperature stress, and that the truncated transcript was more expressed than the long transcript in tumor samples. The inverse was found for the longer protein isoform. The truncated variant was also detected in chimpanzee, gorilla, hare, pika, mouse, rat, and tree shrew. The fact that the same variant has been preserved in mammals with divergence times up to 70 million years raises the hypothesis that it may have a functional significance.
Subject(s)
Alternative Splicing , Receptor-Interacting Protein Serine-Threonine Kinase 2 , Animals , Humans , Receptor-Interacting Protein Serine-Threonine Kinase 2/genetics , Receptor-Interacting Protein Serine-Threonine Kinase 2/metabolism , Evolution, Molecular , Protein Isoforms/genetics , Mice , Neoplasms/genetics , RatsABSTRACT
INTRODUCTION: In light of the current COVID-19 pandemic, during which the world is confronted with a new, highly contagious virus that suppresses innate immunity as one of its initial virulence mechanisms, thus escaping from first-line human defense mechanisms, enhancing innate immunity seems a good preventive strategy. METHODS: Without the intention to write an official systematic review, but more to give an overview of possible strategies, in this review article we discuss several interventions that might stimulate innate immunity and thus our defense against (viral) respiratory tract infections. Some of these interventions can also stimulate the adaptive T- and B-cell responses, but our main focus is on the innate part of immunity. We divide the reviewed interventions into: 1) lifestyle related (exercise, >7 h sleep, forest walking, meditation/mindfulness, vitamin supplementation); 2) Non-specific immune stimulants (letting fever advance, bacterial vaccines, probiotics, dialyzable leukocyte extract, pidotimod), and 3) specific vaccines with heterologous effect (BCG vaccine, mumps-measles-rubeola vaccine, etc). RESULTS: For each of these interventions we briefly comment on their definition, possible mechanisms and evidence of clinical efficacy or lack of it, especially focusing on respiratory tract infections, viral infections, and eventually a reduced mortality in severe respiratory infections in the intensive care unit. At the end, a summary table demonstrates the best trials supporting (or not) clinical evidence. CONCLUSION: Several interventions have some degree of evidence for enhancing the innate immune response and thus conveying possible benefit, but specific trials in COVID-19 should be conducted to support solid recommendations.
ABSTRACT
Functional immunological evidence supports the impact that the host genetic variability has on the susceptibility to develop asymptomatic or symptomatic dengue infection. Children are more prone to develop severe dengue. Thus, we have evaluated possible associations between single-nucleotide polymorphisms (SNPs) located in immune genes and the development of symptomatic dengue in children from two Colombian populations with differences in genetic backgrounds and geographical features. We genotyped 15 SNPs (in 12 genes) in 298 symptomatic children and 648 healthy controls. Ancestry proportions (APs) were inferred by genotyping 29 ancestry informative markers. We observed four SNPs associated with susceptibility to develop dengue in NOD1, RIPK2, MICB, or PLCE1 genes. Conversely, we found one SNP in TNF gene and two haplotypes in the IKBKE gene associated with resistance to develop dengue. These associations were adjusted by gender, APs, and the population of origin because the association of polymorphisms may be different in admixed populations like Colombian. To our knowledge, this is the first reported association study with dengue in IKBKE, RIPK2, and NOD1 genes. We have also confirmed previously reported associations in MICB and PLCE1 genes with dengue. Overall, our results contribute to the understanding of the genetic susceptibility/resistance to develop symptomatic dengue. Nevertheless, these associations must be validated through functional analysis.
Subject(s)
Dengue/genetics , I-kappa B Kinase/genetics , Nod1 Signaling Adaptor Protein/genetics , Polymorphism, Single Nucleotide , Receptor-Interacting Protein Serine-Threonine Kinase 2/genetics , Adolescent , Case-Control Studies , Child , Child, Preschool , Colombia , Female , Genetic Predisposition to Disease , Genotype , Histocompatibility Antigens Class I/genetics , Humans , Male , Phosphoinositide Phospholipase C/genetics , Sex Factors , Tumor Necrosis Factor-alpha/geneticsABSTRACT
Receptor-interacting protein kinase 2 (RIPK2) plays an essential role in autoimmune response and is suggested as a target for inflammatory diseases. A pharmacophore model was built from a dataset with ponatinib (template) and 18 RIPK2 inhibitors selected from BindingDB database. The pharmacophore model validation was performed by multiple linear regression (MLR). The statistical quality of the model was evaluated by the correlation coefficient (R), squared correlation coefficient (R2), explanatory variance (adjusted R2), standard error of estimate (SEE), and variance ratio (F). The best pharmacophore model has one aromatic group (LEU24 residue interaction) and two hydrogen bonding acceptor groups (MET98 and TYR97 residues interaction), having a score of 24.739 with 14 aligned inhibitors, which were used in virtual screening via ZincPharmer server and the ZINC database (selected in function of the RMSD value). We determined theoretical values of biological activity (logRA) by MLR, pharmacokinetic and toxicology properties, and made molecular docking studies comparing binding affinity (kcal/mol) results with the most active compound of the study (ponatinib) and WEHI-345. Nine compounds from the ZINC database show satisfactory results, yielding among those selected, the compound ZINC01540228, as the most promising RIPK2 inhibitor. After binding free energy calculations, the following molecular dynamics simulations showed that the receptor protein's backbone remained stable after the introduction of ligands.
Subject(s)
Molecular Docking Simulation , Molecular Dynamics Simulation , Receptor-Interacting Protein Serine-Threonine Kinase 2 , Cell Line , Drug Evaluation, Preclinical/methods , Humans , Inflammation/drug therapy , Inflammation/enzymology , Inflammation/pathology , Protein Kinase Inhibitors/chemistry , Protein Kinase Inhibitors/pharmacology , Receptor-Interacting Protein Serine-Threonine Kinase 2/antagonists & inhibitors , Receptor-Interacting Protein Serine-Threonine Kinase 2/chemistry , Receptor-Interacting Protein Serine-Threonine Kinase 2/metabolismABSTRACT
The Protein Kinase Receptor type 2 (RIPK2) plays an important role in the pathogenesis of inflammatory diseases; it signals downstream of the NOD1 and NOD2 intracellular sensors and promotes a productive inflammatory response. However, excessive NOD2 signaling has been associated with various diseases, including sarcoidosis and inflammatory arthritis; the pharmacological inhibition of RIPK2 is an affinity strategy that demonstrates an increased expression of pro-inflammatory secretion activity. In this study, a pharmacophoric model based on the crystallographic pose of ponatinib, a potent RIPK2 inhibitor, and 30 other ones selected from the BindingDB repository database, was built. Compounds were selected based on the available ZINC compounds database and in silico predictions of their pharmacokinetic, toxicity and potential biological activity. Molecular docking was performed to identify the probable interactions of the compounds as well as their binding affinity with RIPK2. The compounds were analyzed to ponatinib and WEHI-345, which also used as a control. At least one of the compounds exhibited suitable pharmacokinetic properties, low toxicity and an interesting binding affinity and high fitness compared with the crystallographic pose of WEHI-345 in complex with RIPK2. This compound also possessed suitable synthetic accessibility, rendering it a potential and very promising RIPK2 inhibitor to be further investigated in regards to different diseases, particularly inflammatory ones.
Subject(s)
Imidazoles/chemistry , Inflammation/drug therapy , Protein Kinase Inhibitors/chemistry , Pyridazines/chemistry , Receptor-Interacting Protein Serine-Threonine Kinase 2/antagonists & inhibitors , Crystallography, X-Ray , Humans , Imidazoles/therapeutic use , Molecular Docking Simulation , Protein Kinase Inhibitors/therapeutic use , Pyridazines/therapeutic use , Receptor-Interacting Protein Serine-Threonine Kinase 2/chemistry , Signal Transduction/drug effects , User-Computer InterfaceABSTRACT
Sensing intracellular pathogens is a process mediated by innate immune cells that is crucial for the induction of inflammatory processes and effective adaptive immune responses against pathogenic microbes. NOD-like receptors (NLRs) comprise a family of intracellular pattern recognition receptors that are important for the recognition of damage and microbial-associated molecular patterns. NOD1 and NOD2 are specialized NLRs that participate in the recognition of a subset of pathogenic microorganisms that are able to invade and multiply intracellularly. Once activated, these molecules trigger intracellular signaling pathways that lead to the activation of transcriptional responses culminating in the expression of a subset of inflammatory genes. In this review, we will focus on the role of NOD1 and NOD2 in the recognition and response to intracellular pathogens, including Gram-positive and Gram-negative bacteria, and on their ability to signal in response to non-peptidoglycan-containing pathogens, such as viruses and protozoan parasites.