Calcium is a noncompetitive inhibitor of DMT1 on the intestinal iron absorption process: empirical evidence and mathematical modeling analysis.

Iron absorption is a complex and highly controlled process where DMT1 transports nonheme iron through the brush-border membrane of enterocytes to the cytoplasm but does not transport alkaline-earth metals such as calcium. However, it has been proposed that high concentrations of calcium in the diet could reduce iron bioavailability. In this work, we investigate the effect of intracellular and extracellular calcium on iron uptake by Caco-2 cells, as determined by calcein fluorescence quenching.

Novel Symbiotic Genome-Scale Model Reveals 's Arboviral Pathogen Blocking Mechanism in Aedes aegypti.

are endosymbiont bacteria known to infect arthropods causing different effects, such as cytoplasmic incompatibility and pathogen blocking in Aedes aegypti. Although several strains have been studied, there is little knowledge regarding the relationship between this bacterium and their hosts, particularly on their obligate endosymbiont nature and its pathogen blocking ability. Motivated by the potential applications on disease control, we developed a genome-scale model of two strains: Mel and the strongest Dengue blocking strain known to date: MelPop.

A systems biology approach for studying Wolbachia metabolism reveals points of interaction with its host in the context of arboviral infection.

Wolbachia are alpha-proteobacteria known to infect arthropods, which are of interest for disease control since they have been associated with improved resistance to viral infection. Although several genomes for different strains have been sequenced, there is little knowledge regarding the relationship between this bacterium and their hosts, particularly on their dependency for survival. Motivated by the potential applications on disease control, we developed genome-scale models of four Wolbachia strains known to infect arthropods: wAlbB (Aedes albopictus), wVitA (Nasonia vitripennis), wMel and wMelPop (Drosophila melanogaster).

Mathematical modeling of the relocation of the divalent metal transporter DMT1 in the intestinal iron absorption process.

Iron is essential for the normal development of cellular processes. This metal has a high redox potential that can damage cells and its overload or deficiency is related to several diseases, therefore it is crucial for its absorption to be highly regulated. A fast-response regulatory mechanism has been reported known as mucosal block, which allows to regulate iron absorption after an initial iron challenge.

Mathematical Modeling of Intestinal Iron Absorption Using Genetic Programming.

Iron is a trace metal, key for the development of living organisms. Its absorption process is complex and highly regulated at the transcriptional, translational and systemic levels. Recently, the internalization of the DMT1 transporter has been proposed as an additional regulatory mechanism at the intestinal level, associated to the mucosal block phenomenon.

Iron-induced reactive oxygen species mediate transporter DMT1 endocytosis and iron uptake in intestinal epithelial cells.

Recent evidence shows that iron induces the endocytosis of the iron transporter dimetal transporter 1 (DMT1) during intestinal absorption. We, and others, have proposed that iron-induced DMT1 internalization underlies the mucosal block phenomena, a regulatory response that downregulates intestinal iron uptake after a large oral dose of iron. In this work, we investigated the participation of reactive oxygen species (ROS) in the establishment of this response.

Revealing Monoamine Oxidase B Catalytic Mechanisms by Means of the Quantum Chemical Cluster Approach.

Two of the possible catalytic mechanisms for neurotransmitter oxidative deamination by monoamine oxidase B (MAO B), namely, polar nucleophilic and hydride transfer, were addressed in order to comprehend the nature of their rate-determining step. The Quantum Chemical Cluster Approach was used to obtain transition states of MAO B complexed with phenylethylamine (PEA), benzylamine (BA), and p-nitrobenzylamine (NBA). The choice of these amines relies on their importance to address MAO B catalytic mechanisms so as to help us to answer questions such as why BA is a better substrate than NBA or how para-substitution affects substrate's reactivity.

Molecular dynamics simulation of halogen bonding mimics experimental data for cathepsin L inhibition.

A MD simulation protocol was developed to model halogen bonding in protein-ligand complexes by inclusion of a charged extra point to represent the anisotropic distribution of charge on the halogen atom. This protocol was then used to simulate the interactions of cathepsin L with a series of halogenated and non-halogenated inhibitors. Our results show that chloro, bromo and iodo derivatives have progressively narrower distributions of calculated geometries, which reflects the order of affinity I > Br > Cl, in agreement with the IC50 values.

Influence of protonation on substrate and inhibitor interactions at the active site of human monoamine oxidase-A.

Although substrate conversion mediated by human monoaminooxidase (hMAO) has been associated with the deprotonated state of their amine moiety, data regarding the influence of protonation on substrate binding at the active site are scarce. Thus, in order to assess protonation influence, steered molecular dynamics (SMD) runs were carried out. These simulations revealed that the protonated form of the substrate serotonin (5-HT) exhibited stronger interactions at the protein surface compared to the neutral form.

Cellular inflammation in nonarteritic anterior ischemic optic neuropathy and its primate model.

Objective: To correlate potential inflammatory responses in nonarteritic anterior ischemic optic neuropathy (NAION) with a lesion possessing many physiologic and histologic similarities from a model of nonhuman primate NAION (pNAION).

Methods: Using immunohistochemistry and confocal microscopic analysis, we evaluated the relative numbers of inflammatory cell types in the single available clinical specimen of early NAION (21 days after event). We correlated this with the temporal inflammatory response occurring in optic nerve tissue at different times following pNAION induction.

An unusual case of congenital primitive neuroectodermal tumor with ocular metastasis.

Primitive neuroectodermal tumor (PNET) is most common in the second decade of life. Congenital PNET is very rare. Ocular metastasis of PNET is likewise exceedingly rare; with only 5 previously published cases.

Mathematical modeling of the dynamic storage of iron in ferritin.

Background: Iron is essential for the maintenance of basic cellular processes. In the regulation of its cellular levels, ferritin acts as the main intracellular iron storage protein. In this work we present a mathematical model for the dynamics of iron storage in ferritin during the process of intestinal iron absorption.

Anterior segment complications after diode laser photocoagulation for prethreshold retinopathy of prematurity.

Purpose: To evaluate anterior segment complication rates in eyes treated for prethreshold versus threshold retinopathy of prematurity (ROP) and look for potential risk factors.

Design: Retrospective, observational case series study.

Methods: All patients treated with diode laser for ROP between 1995 and 2007 were identified.

Short tag noose technique for optional and late suture adjustment in strabismus surgery.

Objective: To present and evaluate a new technique that allows the second-stage suture adjustment in strabismus surgery to be skipped or delayed if the immediate postoperative alignment is satisfactory.

Methods: The "short tag noose" technique replaces long sutures with short tags that can be left under the conjunctiva after adjustment. Retrospectively, the medical records of all patients treated by a single surgeon with this approach between January 1, 2005, and December 31, 2008, were evaluated for success rate (< or =10 prism diopters [PD] horizontal and < or =6 PD vertical), reoperation rate, and complications.

Modeling heterocyst pattern formation in cyanobacteria.

Background: To allow the survival of the population in the absence of nitrogen, some cyanobacteria strains have developed the capability of differentiating into nitrogen fixing cells, forming a characteristic pattern. In this paper, the process by which cyanobacteria differentiates from vegetative cells into heterocysts in the absence of nitrogen and the elements of the gene network involved that allow the formation of such a pattern are investigated.

Methods: A simple gene network model, which represents the complexity of the differentiation process, and the role of all variables involved in this cellular process is proposed.

Methods of calculating protein hydrophobicity and their application in developing correlations to predict hydrophobic interaction chromatography retention.

Hydrophobic interaction chromatography (HIC) is a key technique for protein separation and purification. Different methodologies to estimate the hydrophobicity of a protein are reviewed, which have been related to the chromatographic behavior of proteins in HIC. These methodologies consider either knowledge of the three-dimensional structure or the amino acid composition of proteins.

Prediction of the partitioning behaviour of proteins in aqueous two-phase systems using only their amino acid composition.

The prediction of the partition behaviour of proteins in aqueous two-phase systems (ATPS) using mathematical models based on their amino acid composition was investigated. The predictive models are based on the average surface hydrophobicity (ASH). The ASH was estimated by means of models that use the three-dimensional structure of proteins and by models that use only the amino acid composition of proteins.

Current insights on protein behaviour in hydrophobic interaction chromatography.

This paper gives a summary of different aspects for predicting protein behaviour in hydrophobic interaction chromatography (HIC). First, a brief description of HIC, hydrophobic interactions, amino acid and protein hydrophobicity is presented. After that, several factors affecting protein chromatographic behaviour in HIC are described.

Predicting the behaviour of proteins in hydrophobic interaction chromatography. 2. Using a statistical description of their surface amino acid distribution.

This paper focuses on the prediction of the dimensionless retention time (DRT) of proteins in hydrophobic interaction chromatography (HIC) by means of mathematical models based on the statistical description of the amino acid surface distribution. Previous models characterises the protein surface as a whole. However, most of the time it is not the whole protein but some of its specific regions that interact with the environment.

Predicting the behaviour of proteins in hydrophobic interaction chromatography. 1: Using the hydrophobic imbalance (HI) to describe their surface amino acid distribution.

This paper focuses on the prediction of the dimensionless retention time of proteins (DRT) in hydrophobic interaction chromatography (HIC) by means of mathematical models based on characteristics of the surface hydrophobicity distribution. We introduce a new parameter, called hydrophobic imbalance (HI), obtained from the three-dimensional structure of proteins. This parameter quantifies the displacement of the superficial geometric centre of the protein when the effect of the hydrophobicity of each amino acid is considered.

Prediction of retention times of proteins in hydrophobic interaction chromatography using only their amino acid composition.

This paper focuses on the prediction of the dimensionless retention time of proteins (DRT) in hydrophobic interaction chromatography (HIC) by means of mathematical models based, essentially, only on aminoacidic composition. The results show that such prediction is indeed possible. Our main contribution was the design of models that predict the DRT using the minimal information concerning a protein: its aminoacidic composition.