Network perspective of histamine related diseases

Histamine is the most pleiotropic biogenic amine. Produced and stored by a limited set of cells—histaminergic neurons, enterochromaffin-like cells, and mast cells—it broadcasts intercellular communication signals to a wide variety of cell types through its tissue-specific receptors. The many molecular interactions of these receptors and other mediators result in complex cellular networks whose alteration result in disease. Therefore, complex diseases map to modules of these cellular networks in the diseasomes. In this communication, we survey the histamine cellular networks to map the histamine diseasome, presenting a network view of the pleiotropy of histamine and its role in several complex diseases.A.A. Moya is a CIBERER fellow. The "CIBER de Enfermedades Raras" is an initiative from the ISCIII (Spain)]. This communication has the support of a travel grant "Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech"

AMMO-Prot: amine system project 3D-model finder

BACKGROUND: Amines are biogenic amino acid derivatives, which play pleiotropic and very important yet complex roles in animal physiology. For many other relevant biomolecules, biochemical and molecular data are being accumulated, which need to be integrated in order to be effective in the advance of biological knowledge in the field. For this purpose, a multidisciplinary group has started an ontology-based system named the Amine System Project (ASP) for which amine-related information is the validation bench. RESULTS: In this paper, we describe the Ontology-Based Mediator developed in the Amine System Project (http://asp.uma.es) using the infrastructure of Semantic Directories, and how this system has been used to solve a case related to amine metabolism-related protein structures. CONCLUSIONS: This infrastructure is used to publish and manage not only ontologies and their relationships, but also metadata relating to the resources committed with the ontologies. The system developed is available at http://asp.uma.es/WebMediator

Role of age and comorbidities in mortality of patients with infective endocarditis

[Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group

Predicción de estructura de proteínas empleando software libre

Experimental techniques for structural characterization, mainly X-ray crystallography and nuclear magnetic resonance, provide high-resolution structures, although unfortunately only a small part of proteins can be characterized in this way.Las técnicas experimentales de caracterización estructural, principalmente cristalografía de rayos X y resonancia magnética nuclear, proporcionan estructuras de alta resolución, aunque desafortunadamente sólo una pequeña parte de las proteínas se pueden caracterizar así

A CATH domain functional family based approach to identify putative cancer driver genes and driver mutations

Abstract Tumour sequencing identifies highly recurrent point mutations in cancer driver genes, but rare functional mutations are hard to distinguish from large numbers of passengers. We developed a novel computational platform applying a multi-modal approach to filter out passengers and more robustly identify putative driver genes. The primary filter identifies enrichment of cancer mutations in CATH functional families (CATH-FunFams) – structurally and functionally coherent sets of evolutionary related domains. Using structural representatives from CATH-FunFams, we subsequently seek enrichment of mutations in 3D and show that these mutation clusters have a very significant tendency to lie close to known functional sites or conserved sites predicted using CATH-FunFams. Our third filter identifies enrichment of putative driver genes in functionally coherent protein network modules confirmed by literature analysis to be cancer associated. Our approach is complementary to other domain enrichment approaches exploiting Pfam families, but benefits from more functionally coherent groupings of domains. Using a set of mutations from 22 cancers we detect 151 putative cancer drivers, of which 79 are not listed in cancer resources and include recently validated cancer associated genes EPHA7, DCC netrin-1 receptor and zinc-finger protein ZNF479

Mapping of catalytically important residues in the rat L-histidine decarboxylase enzyme using bioinformatic and site-directed mutagenesis approaches.

HDC (L-histidine decarboxylase), the enzyme responsible for the catalytic production of histamine from L-histidine, belongs to an evolutionarily conserved family of vitamin B6-dependent enzymes known as the group II decarboxylases. Yet despite the obvious importance of histamine, mammalian HDC enzymes remain poorly characterized at both the biochemical and structural levels. By comparison with the recently described crystal structure of the homologous enzyme L-DOPA decarboxylase, we have been able to identify a number of conserved domains and motifs that are important also for HDC catalysis. This includes residues that were proposed to mediate events within the active site, and HDC proteins carrying mutations in these residues were inactive when expressed in reticulocyte cell lysates reactions. Our studies also suggest that a significant change in quartenary structure occurs during catalysis. This involves a protease sensitive loop, and incubating recombinant HDC with an L-histidine substrate analogue altered enzyme structure so that the loop was no longer exposed for tryptic proteolysis. In total, 27 mutant proteins were used to test the proposed importance of 34 different amino acid residues. This is the most extensive mutagenesis study yet to identify catalytically important residues in a mammalian HDC protein sequence and it provides a number of novel insights into the mechanism of histamine biosynthesis

Histamine, Metabolic Remodelling and Angiogenesis: A Systems Level Approach

Histamine is a highly pleiotropic biogenic amine involved in key physiological processes including neurotransmission, immune response, nutrition, and cell growth and differentiation. Its effects, sometimes contradictory, are mediated by at least four different G-protein coupled receptors, which expression and signalling pathways are tissue-specific. Histamine metabolism conforms a very complex network that connect many metabolic processes important for homeostasis, including nitrogen and energy metabolism. This review brings together and analyses the current information on the relationships of the "histamine system" with other important metabolic modules in human physiology, aiming to bridge current information gaps. In this regard, the molecular characterization of the role of histamine in the modulation of angiogenesis-mediated processes, such as cancer, makes a promising research field for future biomedical advances.The experimental work carried out by our group is supported by grants PID2019-105010RB I00 (Spanish Ministry of Science, Innovation and Universities), and UMA18-FEDERJA-220 (Andalu sian Government and FEDER) and funds from group BIO 267 (Andalusian Government). The “CIBER de Enfermedades Raras” and “CIBER de Fisiopatología de la Obesidad y la Nutrición” are an initiative from the ISCIII (Spain).Ye

Identification of New Toxicity Mechanisms in Drug-Induced Liver Injury through Systems Pharmacology.

Among adverse drug reactions, drug-induced liver injury presents particular challenges because of its complexity, and the underlying mechanisms are still not completely characterized. Our knowledge of the topic is limited and based on the assumption that a drug acts on one molecular target. We have leveraged drug polypharmacology, i.e., the ability of a drug to bind multiple targets and thus perturb several biological processes, to develop a systems pharmacology platform that integrates all drug-target interactions. Our analysis sheds light on the molecular mechanisms of drugs involved in drug-induced liver injury and provides new hypotheses to study this phenomenon

Molecular Modeling and Site-Directed Mutagenesis Reveal Essential Residues for Catalysis in a Prokaryote-Type Aspartate Aminotransferase1[W][OA]

We recently reported that aspartate (Asp) biosynthesis in plant chloroplasts is catalyzed by two different Asp aminotransferases (AAT): a previously characterized eukaryote type and a prokaryote type (PT-AAT) similar to bacterial and archaebacterial enzymes. The available molecular and kinetic data suggest that the eukaryote-type AAT is involved in the shuttling of reducing equivalents through the plastidic membrane, whereas the PT-AAT could be involved in the biosynthesis of the Asp-derived amino acids inside the organelle. In this work, a comparative modeling of the PT-AAT enzyme from Pinus pinaster (PpAAT) was performed using x-ray structures of a bacterial AAT (Thermus thermophilus; Protein Data Bank accession nos. 1BJW and 1BKG) as templates. We computed a three-dimensional folding model of this plant homodimeric enzyme that has been used to investigate the functional importance of key amino acid residues in its active center. The overall structure of the model is similar to the one described for other AAT enzymes, from eukaryotic and prokaryotic sources, with two equivalent active sites each formed by residues of both subunits of the homodimer. Moreover, PpAAT monomers folded into one large and one small domain. However, PpAAT enzyme showed unique structural and functional characteristics that have been specifically described in the AATs from the prokaryotes Phormidium lapideum and T. thermophilus, such as those involved in the recognition of the substrate side chain or the “open-to-closed” transition following substrate binding. These predicted characteristics have been substantiated by site-direct mutagenesis analyses, and several critical residues (valine-206, serine-207, glutamine-346, glutamate-210, and phenylalanine-450) were identified and functionally characterized. The reported data represent a valuable resource to understand the function of this enzyme in plant amino acid metabolism