Functional significance of Asn-linked glycosylation of proteinase 3 for enzymatic activity, processing, targeting, and recognition by anti-neutrophil cytoplasmic antibodies

Proteinase 3 (PR3) is a neutral serine protease stored in neutrophil granules. It has substantial sequence homology with elastase, cathepsin G and azurocidin. PR3 is the target antigen for autoantibodies (ANCA) in Wegener's granulomatosis, a necrotizing vasculitis syndrome. ANCA have been implicated in the pathogenesis of this disease. PR3 has two potential Asn-linked glycosylation sites. This study was designed to determine the occupancy of these glycosylation sites, and to evaluate their effect on enzymatic function, intracellular processing, targeting to granules and recognition by ANCA. We found that glycosylation occurs at both sites in native neutrophil PR3 and in wild type recombinant PR3 (rPR3) expressed in HMC-1 cells. Using glycosylation deficient rPR3 mutants we found that glycosylation at Asn-147, but not at Asn-102, is critical for thermal stability, and for optimal hydrolytic activity of PR3. Efficient amino-terminal proteolytic processing of rPR3 is dependent on glycosylation at Asn-102. Targeting to granules is not dependent on glycosylation, but unglycosylated rPR3 gets secreted preferentially into media supernatants. Finally, a capture ELISA for ANCA detection, using rPR3 glycosylation variants as target antigens, reveals that in about 20% of patients, epitope recognition by ANCA is affected by the glycosylation status of PR3.     

“Glowing Head” Mice: A Genetic Tool Enabling Reliable Preclinical Image-Based Evaluation of Cancers in Immunocompetent Allografts

Preclinical therapeutic assessment currently relies on the growth response of established human cell lines xenografted into immunocompromised mice, a strategy that is generally not predictive of clinical outcomes. Immunocompetent genetically engineered mouse (GEM)-derived tumor allograft models offer highly tractable preclinical alternatives and facilitate analysis of clinically promising immunomodulatory agents. Imageable reporters are essential for accurately tracking tumor growth and response, particularly for metastases. Unfortunately, reporters such as luciferase and GFP are foreign antigens in immunocompetent mice, potentially hindering tumor growth and confounding therapeutic responses. Here we assessed the value of reporter-tolerized GEMs as allograft recipients by targeting minimal expression of a luciferase-GFP fusion reporter to the anterior pituitary gland (dubbed the “Glowing Head” or GH mouse). The luciferase-GFP reporter expressed in tumor cells induced adverse immune responses in wildtype mouse, but not in GH mouse, as transplantation hosts. The antigenicity of optical reporters resulted in a decrease in both the growth and metastatic potential of the labeled tumor in wildtype mice as compared to the GH mice. Moreover, reporter expression can also alter the tumor response to chemotherapy or targeted therapy in a context-dependent manner. Thus the GH mice and experimental approaches vetted herein provide concept validation and a strategy for effective, reproducible preclinical evaluation of growth and response kinetics for traceable tumors.     

Body Mass Index and Mortality in Non-Hispanic Black Adults in the NIH-AARP Diet and Health Study

Background

Although the prevalence of obesity (body mass index, kg/m², BMI ≥30) is higher in non-Hispanic blacks than in non-Hispanic whites, the relation of BMI to total mortality in non-Hispanic blacks is not well defined.

Purpose

We investigated the association between BMI and total mortality in 16,471 non-Hispanic blacks in the NIH-AARP Diet and Health Study, a prospective cohort of adults aged 50–71 years.

Methods

During an average of 13 years of follow-up, 2,609 deaths were identified using the Social Security Administration Death Master File and the National Death Index. Cox proportional hazard models were used to estimate relative risks and two-sided 95% confidence intervals (CI), adjusting for potential confounders.

Results

Among individuals with no history of cancer or heart disease at baseline and had a BMI of 20 or greater, the relative risk for total death was 1.12 (95% CI:1.05, 1.19, for a 5-unit increase in BMI) in men and 1.09 (95% CI:1.03, 1.15) in women. Among never smokers with no history of cancer or heart disease at baseline, relative risks for total death for BMI 25–<30, 30–<35, 35–<40, and 40–50, compared with BMI 20–<25, were 1.27 (95% CI: 0.91, 1.78), 1.56 (95% CI: 1.07, 2.28), 2.48 (95% CI: 1.53, 4.05), and 2.80 (95% CI: 1.46, 5.39), respectively, in men and 0.78 (95% CI: 0.59, 1.04), 1.17 (95% CI: 0.88, 1.57), 1.35 (95% CI: 0.96, 1.90), and 1.93 (95% CI: 1.33, 2.81), respectively, in women.

Conclusions

Our findings suggest that overweight is related to an increased risk of death in black men, but not in black women, while obesity is related to an increased risk of death in both black men and women. A large pooled analysis of existing studies is needed to systematically evaluate the association between a wide range of BMIs and total mortality in blacks.     

BED estimates of HIV incidence: resolving the differences, making things simpler

Objective

Develop a simple method for optimal estimation of HIV incidence using the BED capture enzyme immunoassay.

Design

Use existing BED data to estimate mean recency duration, false recency rates and HIV incidence with reference to a fixed time period, T.

Methods

Compare BED and cohort estimates of incidence referring to identical time frames. Generalize this approach to suggest a method for estimating HIV incidence from any cross-sectional survey.

Results

Follow-up and BED analyses of the same, initially HIV negative, cases followed over the same set time period T, produce estimates of the same HIV incidence, permitting the estimation of the BED mean recency period for cases who have been HIV positive for less than T. Follow-up of HIV positive cases over T, similarly, provides estimates of the false-recent rate appropriate for T. Knowledge of these two parameters for a given population allows the estimation of HIV incidence during T by applying the BED method to samples from cross-sectional surveys. An algorithm is derived for providing these estimates, adjusted for the false-recent rate. The resulting estimator is identical to one derived independently using a more formal mathematical analysis. Adjustments improve the accuracy of HIV incidence estimates. Negative incidence estimates result from the use of inappropriate estimates of the false-recent rate and/or from sampling error, not from any error in the adjustment procedure.

Conclusions

Referring all estimates of mean recency periods, false-recent rates and incidence estimates to a fixed period T simplifies estimation procedures and allows the development of a consistent method for producing adjusted estimates of HIV incidence of improved accuracy. Unadjusted BED estimates of incidence, based on life-time recency periods, would be both extremely difficult to produce and of doubtful value.     

Mesh-morphing algorithms for specimen-specific finite element modeling

Despite recent advances in software for meshing specimen-specific geometries, considerable effort is still often required to produce and analyze specimen-specific models suitable for biomechanical analysis through finite element modeling. We hypothesize that it is possible to obtain accurate models by adapting a pre-existing geometry to represent a target specimen using morphing techniques. Here we present two algorithms for morphing, automated wrapping (AW) and manual landmarks (ML), and demonstrate their use to prepare specimen-specific models of caudal rat vertebrae. We evaluate the algorithms by measuring the distance between target and morphed geometries and by comparing response to axial loading simulated with finite element (FE) methods.

First a traditional reconstruction process based on μCT was used to obtain two natural specimen-specific FE models. Next, the two morphing algorithms were used to compute mappings from the surface of one model, the source, to the other, the target, and to use this mapping to morph the source mesh to produce a target mesh. The μCT images were then used to assign element-specific material properties. In AW the mappings were obtained by wrapping the source and target surfaces with an auxiliary triangulated surface. In ML, landmarks were manually placed on corresponding locations on the surfaces of both source and target.

Both morphing algorithms were successful in reproducing the shape of the target vertebra with a median distance between natural and morphed models of 18.8 and 32.2 μm, respectively, for AW and ML. Whereas AW–morphing produced a surface more closely resembling that of the target, ML guaranteed correspondence of the landmark locations between source and target. Morphing preserved the quality of the mesh producing models suitable for FE simulation. Moreover, there were only minor differences between natural and morphed models in predictions of deformation, strain and stress. We therefore conclude that it is possible to use mesh-morphing techniques to produce accurate specimen-specific FE models of caudal rat vertebrae. Mesh morphing techniques provide advantages over conventional specimen-specific finite element modeling by reducing the effort required to generate multiple target specimen models, facilitating intermodel comparisons through correspondence of nodes and maintenance of connectivity, and lends itself to parametric evaluation of “artificial” geometries with a focus on optimizing reconstruction.     

Effect of erythropoietin in a patient with severe congestive heart failure--a case report

Erythropoietin (EPO), traditionally known as a hematopoietic hormone, has recently been shown to have effects beyond hematopoiesis such as prevention of neuronal and cardiac apoptosis secondary to ischemia and induction of neoangiogenesis. Patients with congestive heart failure (CHF) suffer considerable morbidity and mortality despite advances in therapy. Anemia, CHF, and chronic kidney insuficiency often coexist and interact to cause or worsen each other in the so-called cardio-renal anemia syndrome. Treatment with EPO has shown promise in such patients. The paper reviews a case of a successful recovery of cardiac function in a patient with a severe CHF during the treatment with EPO.     

Automated tetraploid genotype calling by hierarchical clustering

Key message

New software to make tetraploid genotype calls from SNP array data was developed, which uses hierarchical clustering and multiple F1 populations to calibrate the relationship between signal intensity and allele dosage.

Abstract

SNP arrays are transforming breeding and genetics research for autotetraploids. To fully utilize these arrays, the relationship between signal intensity and allele dosage must be calibrated for each marker. We developed an improved computational method to automate this process, which is provided as the R package ClusterCall. In the training phase of the algorithm, hierarchical clustering within an F1 population is used to group samples with similar intensity values, and allele dosages are assigned to clusters based on expected segregation ratios. In the prediction phase, multiple F1 populations and the prediction set are clustered together, and the genotype for each cluster is the mode of the training set samples. A concordance metric, defined as the proportion of training set samples equal to the mode, can be used to eliminate unreliable markers and compare different algorithms. Across three potato families genotyped with an 8K SNP array, ClusterCall scored 5729 markers with at least 0.95 concordance (94.6% of its total), compared to 5325 with the software fitTetra (82.5% of its total). The three families were used to predict genotypes for 5218 SNPs in the SolCAP diversity panel, compared with 3521 SNPs in a previous study in which genotypes were called manually. One of the additional markers produced a significant association for vine maturity near a well-known causal locus on chromosome 5. In conclusion, when multiple F1 populations are available, ClusterCall is an efficient method for accurate, autotetraploid genotype calling that enables the use of SNP data for research and plant breeding.

     

Influence of the infection with lipid-containing viruses on the metabolism and pools of phospholipid precursors in animal cells

The influence of infection with three different lipid-containing RNA viruses, Newcastle disease virus, fowl plague virus, and Semliki Forest virus on the phosphatidylcholine precursors of chick embryo cells and of baby hamster kidney (BHK) cells has been measured. In chick embryo cells infection with Newcastle disease virus does not influence the energy charge, or the distribution and absolute pool sizes of the precursors or the choline phosphotransferase activity. In chick embryo cells infected with fowl plague virus the CDP-choline pool increases because of an inhibition of the choline phosphotransferase activity. The phosphorylcholine and CTP pools are smaller in infected cells when compared with mock-infected ones, although the energy charge is not influenced by infection. In chick embryo cells as well as in BHK cells the energy charge is diminished by infection with Semliki Forest virus. Therefore the CTP and phosphorylcholine pools are decreased. The CDP-choline pool in chick embryo cells becomes extremely small after infection with Semliki Forest virus because of a significant stimulation of the choline phosphotransferase. In BHK cells infected with Semliki Forest virus the opposite effect is observed. There are also severe effects on the uptake of the labeled precursors by infection. One and the same virus (Semliki Forest virus) has two completely different effects on the phosphatidylcholine precursors when infecting two different cell types. If one and the same cell type (chick embryo cells) is infected with three different lipid-containing RNA viruses also completely different effects on the phosphatidylcholine precursors were observed. Thus, each virus develops its own strategy to influence the lipid metabolism of the host cell, depending also on the choice of the host. This explains the many disturbing contradictory results described in the literature about the influence of lipid-containing viruses on the lipid metabolism of the host.