The heme environment of recombinant human indoleamine 2,3-dioxygenase. Structural properties and substrate-ligand interactions

Indoleamine 2,3-dioxygenase is a heme enzyme that catalyzes the oxidative degradation of L-Trp and other indoleamines. We have used resonance Raman spectroscopy to characterize the heme environment of purified recombinant human indoleamine 2,3-dioxygenase (hIDO). In the absence of L-Trp, the spectrum of the Fe(3+) form displayed six-coordinate, mixed high and low spin character. Addition of L-Trp triggered a transition to predominantly low spin with two Fe-OH(-) stretching modes identified at 546 and 496 cm(-1), suggesting H-bonding between the NH group of the pyrrole ring of L-Trp and heme-bound OH(-). The distal pocket of Fe(3+) hIDO was explored further by an exogenous heme ligand, CN(-); again, binding of L-Trp introduced strong H-bonding and/or steric interactions to the heme-bound CN(-). On the other hand, the spectrum of Fe(2+) hIDO revealed a five-coordinate and high spin heme with or without L-Trp bound. The proximal Fe-His stretching mode, identified at 236 cm(-1), did not shift upon L-Trp addition, indicating that the proximal Fe-His bond strength is not affected by binding of the substrate. The high Fe-His stretching frequency suggests that Fe(2+) hIDO has a strong "peroxidase-like" Fe-His bond. Using CO as a structural probe for the distal environment of Fe(2+) hIDO revealed that binding of L-Trp in the distal pocket converted IDO to a peroxidase-like enzyme. Binding of L-Trp also caused conformational changes to the heme vinyl groups, which were independent of changes of the spin and coordination state of the heme iron. Together these data indicate that the strong proximal Fe-His bond and the strong H-bonding and/or steric interactions between l-Trp and dioxygen in the distal pocket are likely crucial for the enzymatic activity of hIDO.     

Insertion and assembly of human tom7 into the preprotein translocase complex of the outer mitochondrial membrane

Tom7 is a component of the translocase of the outer mitochondrial membrane (TOM) and assembles into a general import pore complex that translocates preproteins into mitochondria. We have identified the human Tom7 homolog and characterized its import and assembly into the mammalian TOM complex. Tom7 is imported into mitochondria in a nucleotide-independent manner and is anchored to the outer membrane with its C terminus facing the intermembrane space. Unlike studies in fungi, we found that human Tom7 assembles into an approximately 120-kDa import intermediate in HeLa cell mitochondria. To detect subunits within this complex, we employed a novel supershift analysis whereby mitochondria containing newly imported Tom7 were incubated with antibodies specific for individual TOM components prior to separation by blue native electrophoresis. We found that the 120-kDa complex contains Tom40 and lacks receptor components. This intermediate can be chased to the stable approximately 380-kDa mammalian TOM complex that additionally contains Tom22. Overexpression of Tom22 in HeLa cells results in the rapid assembly of Tom7 into the 380-kDa complex indicating that Tom22 is rate-limiting for TOM complex formation. These results indicate that the levels of Tom22 within mitochondria dictate the assembly of TOM complexes and hence may regulate its biogenesis.     

Tim22, the essential core of the mitochondrial protein insertion complex, forms a voltage-activated and signal-gated channel

The protein insertion complex of the mitochondrial inner membrane is crucial for import of the numerous multitopic membrane proteins with internal targeting signals. Little is known about the molecular mechanism of this complex, including whether it forms a real channel or merely acts as scaffold for protein insertion. We report the unexpected observation that Tim22 is the only essential membrane-integrated subunit of the complex. Reconstituted Tim22 forms a hydrophilic, high-conductance channel with distinct opening states and pore diameters. The channel is voltage-activated and specifically responds to an internal targeting signal, but not to presequences. Thus, a protein insertion complex can combine three essential functions, signal recognition, channel formation, and energy transduction, in one central component.     

Identifying sites of attachment of UV filters to proteins in older human lenses

Recent results indicate that covalent modification of proteins by tryptophan-derived UV filters may explain the age-dependent coloration of human lenses, and play a role in age-related cataract. The sites of attachment of the UV filters to the lens crystallins, however, have not been determined. This study utilized a database of predicted masses of UV filter-modified tryptic peptides to target sites of UV filter attachment. Proteins were isolated from old normal lenses and digested with trypsin at pH 6, in order to preserve the integrity of the sites of modification. Peptides were separated by high-performance liquid chromatography and characterized by mass spectrometry. Major colored and fluorescent peaks in the digest were found to correspond to cysteine-containing peptides in which the sulfur atom of the sidechain was linked to the major UV filter compound, 3-hydroxykynurenine glucoside. Three of the peptides originated from gammaS-crystallin and one from betaB1-crystallin. These results show that a predicted mass database can be used to facilitate the identification of sites of UV filter modification in human lens crystallins. Furthermore, this work represents the first evidence that UV filters bind to specific residues on lens proteins in vivo, and suggests that sulfhydryl groups may be important sites for the attachment of UV filters.     

Quantitative analysis and model simplification of an epidemic model with primary and secondary infection

Models of particular epidemiological systems can rapidly become complicated by biological detail which can obscure their essential features and behaviour. In general, we wish to retain only those components and processes that contribute to the dynamics of the system. In this paper, we apply asymptotic techniques to an SEI-type model with primary and secondary infection in order to reduce it to a much simpler form. This allows the identification of parameter groupings discriminating between regions of contrasting dynamics and leads to simple approximations for the model’s transient behaviour. These can be used to follow the evolution of the developing infection process. The techniques examined in this paper will be applicable to a large number of similar models.     

Modeling <Emphasis Type="Italic">Neisseria meningitidis</Emphasis> metabolism: from genome to metabolic fluxes

Background  

Neisseria meningitidis is a human pathogen that can infect diverse sites within the human host. The major diseases caused by N. meningitidis are responsible for death and disability, especially in young infants. In general, most of the recent work on N. meningitidis focuses on potential antigens and their functions, immunogenicity, and pathogenicity mechanisms. Very little work has been carried out on Neisseria primary metabolism over the past 25 years.     

Post-translational modifications in the nuclear region of young, aged, and cataract human lenses

The urea-soluble proteins from the nucleus of two young, two aged, and two early-stage nuclear cataract lenses were subjected to tryptic digestion and analysis by 2D LC-MS/MS. Several novel post-translational modifications were identified. Deamidation was, by far, the most common modification. A number of differences were found in cataract compared to normal lenses, most notably an increase in the number of oxidized tryptophan residues. Semiquantitative analysis revealed that there appeared to be a trend toward increased levels of deamidation with age; however, there was no apparent increase upon the onset of nuclear cataract. This is in contrast to Trp oxidation, where an increase in the extent of modification was apparent in cataract lenses when compared to aged normal lenses. These findings suggest Trp oxidation may be involved in nuclear cataract development.     

Simulation of human atherosclerotic femoral plaque tissue: the influence of plaque material model on numerical results

Background

Due to the limited number of experimental studies that mechanically characterise human atherosclerotic plaque tissue from the femoral arteries, a recent trend has emerged in current literature whereby one set of material data based on aortic plaque tissue is employed to numerically represent diseased femoral artery tissue. This study aims to generate novel vessel-appropriate material models for femoral plaque tissue and assess the influence of using material models based on experimental data generated from aortic plaque testing to represent diseased femoral arterial tissue.

Methods

Novel material models based on experimental data generated from testing of atherosclerotic femoral artery tissue are developed and a computational analysis of the revascularisation of a quarter model idealised diseased femoral artery from a 90% diameter stenosis to a 10% diameter stenosis is performed using these novel material models. The simulation is also performed using material models based on experimental data obtained from aortic plaque testing in order to examine the effect of employing vessel appropriate material models versus those currently employed in literature to represent femoral plaque tissue.

Results

Simulations that employ material models based on atherosclerotic aortic tissue exhibit much higher maximum principal stresses within the plaque than simulations that employ material models based on atherosclerotic femoral tissue. Specifically, employing a material model based on calcified aortic tissue, instead of one based on heavily calcified femoral tissue, to represent diseased femoral arterial vessels results in a 487 fold increase in maximum principal stress within the plaque at a depth of 0.8 mm from the lumen.

Conclusions

Large differences are induced on numerical results as a consequence of employing material models based on aortic plaque, in place of material models based on femoral plaque, to represent a diseased femoral vessel. Due to these large discrepancies, future studies should seek to employ vessel-appropriate material models to simulate the response of diseased femoral tissue in order to obtain the most accurate numerical results.

     

Review and classification of variability analysis techniques with clinical applications

Background

Representation of independent biophysical sources using Fourier analysis can be inefficient because the basis is sinusoidal and general. When complex fractionated atrial electrograms (CFAE) are acquired during atrial fibrillation (AF), the electrogram morphology depends on the mix of distinct nonsinusoidal generators. Identification of these generators using efficient methods of representation and comparison would be useful for targeting catheter ablation sites to prevent arrhythmia reinduction.

Method

A data-driven basis and transform is described which utilizes the ensemble average of signal segments to identify and distinguish CFAE morphologic components and frequencies. Calculation of the dominant frequency (DF) of actual CFAE, and identification of simulated independent generator frequencies and morphologies embedded in CFAE, is done using a total of 216 recordings from 10 paroxysmal and 10 persistent AF patients. The transform is tested versus Fourier analysis to detect spectral components in the presence of phase noise and interference. Correspondence is shown between ensemble basis vectors of highest power and corresponding synthetic drivers embedded in CFAE.

Results

The ensemble basis is orthogonal, and efficient for representation of CFAE components as compared with Fourier analysis (p ≤ 0.002). When three synthetic drivers with additive phase noise and interference were decomposed, the top three peaks in the ensemble power spectrum corresponded to the driver frequencies more closely as compared with top Fourier power spectrum peaks (p ≤ 0.005). The synthesized drivers with phase noise and interference were extractable from their corresponding ensemble basis with a mean error of less than 10%.

Conclusions

The new transform is able to efficiently identify CFAE features using DF calculation and by discerning morphologic differences. Unlike the Fourier transform method, it does not distort CFAE signals prior to analysis, and is relatively robust to jitter in periodic events. Thus the ensemble method can provide a useful alternative for quantitative characterization of CFAE during clinical study.