Phenotyping of Left and Right Ventricular Function in Mouse Models of Compensated Hypertrophy and Heart Failure with Cardiac MRI

Background

Left ventricular (LV) and right ventricular (RV) function have an important impact on symptom occurrence, disease progression and exercise tolerance in pressure overload-induced heart failure, but particularly RV functional changes are not well described in the relevant aortic banding mouse model. Therefore, we quantified time-dependent alterations in the ventricular morphology and function in two models of hypertrophy and heart failure and we studied the relationship between RV and LV function during the transition from hypertrophy to heart failure.

Methods

MRI was used to quantify RV and LV function and morphology in healthy (n = 4) and sham operated (n = 3) C57BL/6 mice, and animals with a mild (n = 5) and a severe aortic constriction (n = 10).

Results

Mice subjected to a mild constriction showed increased LV mass (P<0.01) and depressed LV ejection fraction (EF) (P<0.05) as compared to controls, but had similar RVEF (P>0.05). Animals with a severe constriction progressively developed LV hypertrophy (P<0.001), depressed LVEF (P<0.001), followed by a declining RVEF (P<0.001) and the development of pulmonary remodeling, as compared to controls during a 10-week follow-up. Myocardial strain, as a measure for local cardiac function, decreased in mice with a severe constriction compared to controls (P<0.05).

Conclusions

Relevant changes in mouse RV and LV function following an aortic constriction could be quantified using MRI. The well-controlled models described here open opportunities to assess the added value of new MRI techniques for the diagnosis of heart failure and to study the impact of new therapeutic strategies on disease progression and symptom occurrence.     

Sensitivity coefficient-based uncertainty analysis for multi-functionality in LCA

Purpose

In LCA, a multi-functionality problem exists whenever the environmental impacts of a multi-functional process have to be allocated between its multiple functions. Methods for fixing this multi-functionality problem are controversially discussed because the methods include ambiguous choices. To study the influence of these choices, the ISO standard requires a sensitivity analysis. This work presents an analytical method for analyzing sensitivities and uncertainties of LCA results with respect to the choices made when a multi-functionality problem is fixed.

Methods

The existing matrix algebra for LCA is expanded by explicit equations for methods that fix multi-functionality problems: allocation and avoided burden. For allocation, choices exist between alternative allocation factors. The expanded equations allow calculating LCA results as a function of allocation factors. For avoided burden, choices exist in selecting an avoided burden process from multiple candidates. This choice is represented by so-called aggregation factors. For avoided burden, the expanded equations calculate LCA results as a function of aggregation factors. The expanded equations are used to derive sensitivity coefficients for LCA results with respect to allocation factors and aggregation factors. Based on the sensitivity coefficients, uncertainties due to fixing a multi-functionality problem by allocation or avoided burden are analytically propagated. The method is illustrated using a virtual numerical example.

Results and discussion

The presented approach rigorously quantifies sensitivities of LCA results with respect to the choices made when multi-functionality problems are fixed with allocation and avoided burden. The uncertainties due to fixing multi-functionality problems are analytically propagated to uncertainties in LCA results using a first-order approximation. For uncertainties in allocation factors, the first-order approximation is exact if no loops of the allocated functional flows exist. The contribution of uncertainties due to fixing multi-functionality problems can be directly compared to the uncertainty contributions induced by uncertain process data or characterization factors. The presented method allows the computationally efficient study of uncertainties due to fixing multi-functionality problems and could be automated in software tools.

Conclusions

This work provides a systematic method for the sensitivity analysis required by the ISO standard in case choices between alternative allocation procedures exist. The resulting analytical approach includes contributions of uncertainties in process data, characterization factors, and—in extension to existing methods—uncertainties due to fixing multi-functionality problems in a unifying rigorous framework. Based on the uncertainty contributions, LCA practitioners can select fields for data refinement to decrease the overall uncertainty in LCA results.     

Agronomic Evaluation of Camelina (<Emphasis Type="Italic">Camelina sativa</Emphasis> L. Crantz) Cultivars for Biodiesel Feedstock

Recent interest in renewable energy sources and the need to diversify cropping systems have triggered research interest in camelina (Camelina sativa L. Crantz). Camelina is well adapted to the temperate dryland climates and can be used as an energy crop. But information on agronomic evaluation of camelina cultivars for biodiesel feedstock are limited. The objective of this study was to evaluate six spring camelina cultivars (cv. Blaine Creek, Calena, Ligena, Pronghorn, Shoshone, and Suneson) on seed yield, oil concentration, and oil yield. The study was carried out from 2013 to 2015 at three locations (Havre, Moccasin, and Pendroy, MT). Over locations and years, mean seed yield differences among cultivars were significant (P < 0.05). The mean seed yield for cultivars ranging from 1295 kg ha^?1 (Suneson) to 1420 kg ha^?1 (Ligena). Ligena and Calena showed a combination of good seed yield performance and stability across environments. Environmental means for seed yield differences were substantial compared with cultivar means. The location Havre produced 45 and 32% more mean seed yield than Pendroy and Moccasin, respectively. There was no significant difference among cultivars in oil concentration and oil yield. The absence of variations in oil concentration and oil yield differences among these cultivars could indicate the need for further research to improve these qualities essential for biodiesel.     

Molecular genetics of Kaposi's sarcoma-associated herpesvirus (human herpesvirus-8) epidemiology and pathogenesis.

Kaposi's sarcoma had been recognized as unique human cancer for a century before it manifested as an AIDS-defining illness with a suspected infectious etiology. The discovery of Kaposi's sarcoma-associated herpesvirus (KSHV), also known as human herpesvirus-8, in 1994 by using representational difference analysis, a subtractive method previously employed for cloning differences in human genomic DNA, was a fitting harbinger for the powerful bioinformatic approaches since employed to understand its pathogenesis in KS. Indeed, the discovery of KSHV was rapidly followed by publication of its complete sequence, which revealed that the virus had coopted a wide armamentarium of human genes; in the short time since then, the functions of many of these viral gene variants in cell growth control, signaling apoptosis, angiogenesis, and immunomodulation have been characterized. This critical literature review explores the pathogenic potential of these genes within the framework of current knowledge of the basic herpesvirology of KSHV, including the relationships between viral genotypic variation and the four clinicoepidemiologic forms of Kaposi's sarcoma, current viral detection methods and their utility, primary infection by KSHV, tissue culture and animal models of latent- and lytic-cycle gene expression and pathogenesis, and viral reactivation from latency. Recent advances in models of de novo endothelial infection, microarray analyses of the host response to infection, receptor identification, and cloning of full-length, infectious KSHV genomic DNA promise to reveal key molecular mechanisms of the candidate pathogeneic genes when expressed in the context of viral infection.     

Statistical Reporting Errors and Collaboration on Statistical Analyses in Psychological Science

Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed tasks just as co-pilots do in aviation. To document the extent to which this ‘co-piloting’ currently occurs in psychology, we surveyed the authors of 697 articles published in six top psychology journals and asked them whether they had collaborated on four aspects of analyzing data and reporting results, and whether the described data had been shared between the authors. We acquired responses for 49.6% of the articles and found that co-piloting on statistical analysis and reporting results is quite uncommon among psychologists, while data sharing among co-authors seems reasonably but not completely standard. We then used an automated procedure to study the prevalence of statistical reporting errors in the articles in our sample and examined the relationship between reporting errors and co-piloting. Overall, 63% of the articles contained at least one p-value that was inconsistent with the reported test statistic and the accompanying degrees of freedom, and 20% of the articles contained at least one p-value that was inconsistent to such a degree that it may have affected decisions about statistical significance. Overall, the probability that a given p-value was inconsistent was over 10%. Co-piloting was not found to be associated with reporting errors.     

eIF1A/eIF5B interaction network and its functions in translation initiation complex assembly and remodeling

Eukaryotic translation initiation is a highly regulated process involving multiple steps, from 43S pre-initiation complex (PIC) assembly, to ribosomal subunit joining. Subunit joining is controlled by the G-protein eukaryotic translation initiation factor 5B (eIF5B). Another protein, eIF1A, is involved in virtually all steps, including subunit joining. The intrinsically disordered eIF1A C-terminal tail (eIF1A-CTT) binds to eIF5B Domain-4 (eIF5B-D4). The ribosomal complex undergoes conformational rearrangements at every step of translation initiation; however, the underlying molecular mechanisms are poorly understood. Here we report three novel interactions involving eIF5B and eIF1A: (i) a second binding interface between eIF5B and eIF1A; (ii) a dynamic intramolecular interaction in eIF1A between the folded domain and eIF1A-CTT; and (iii) an intramolecular interaction between eIF5B-D3 and -D4. The intramolecular interactions within eIF1A and eIF5B interfere with one or both eIF5B/eIF1A contact interfaces, but are disrupted on the ribosome at different stages of translation initiation. Therefore, our results indicate that the interactions between eIF1A and eIF5B are being continuously rearranged during translation initiation. We present a model how the dynamic eIF1A/eIF5B interaction network can promote remodeling of the translation initiation complexes, and the roles in the process played by intrinsically disordered protein segments.     

Direct Fmoc/tert-Bu solid phase synthesis of octamannosyl polylysine dendrimer-peptide conjugates

The mannose binding proteins on the surface of the dendritic cells are responsible for capture of pathogens in the early stages of immune response. Conjugation to mannose dendrimers is a rarely explored but potentially powerful strategy for enhancing immunogenicity of synthetic peptides relying on direct delivery to dendritic cells. We describe a general protocol for preparation of pure, monodisperse third-generation mannosylated poly-L-lysine dendrimer-peptide conjugates using direct, machine-assisted Fmoc/t-Bu solid phase peptide synthesis. The glycodendrons were elaborated onto the N- or C-terminus of sequences derived from HIV-1 gp41, SARS-CoV S2 protein, and Influenza Hemagglutinin (consisting of 15-44 residues). The products were obtained in a homogeneous state after cleavage from the resin, deprotection, and a single purification on semipreparative RP-HPLC.     

Protein interactions within the Set1 complex and their roles in the regulation of histone 3 lysine 4 methylation

Set1 is the catalytic subunit and the central component of the evolutionarily conserved Set1 complex (Set1C) that methylates histone 3 lysine 4 (H3K4). Here we have determined protein/protein interactions within the complex and related the substructure to function. The loss of individual Set1C subunits differentially affects Set1 stability, complex integrity, global H3K4 methylation, and distribution of H3K4 methylation along active genes. The complex requires Set1, Swd1, and Swd3 for integrity, and Set1 amount is greatly reduced in the absence of the Swd1-Swd3 heterodimer. Bre2 and Sdc1 also form a heteromeric subunit, which requires the SET domain for interaction with the complex, and Sdc1 strongly interacts with itself. Inactivation of either Bre2 or Sdc1 has very similar effects. Neither is required for complex integrity, and their removal results in an increase of H3K4 mono- and dimethylation and a severe decrease of trimethylation at the 5' end of active coding regions but a decrease of H3K4 dimethylation at the 3' end of coding regions. Cells lacking Spp1 have a reduced amount of Set1 and retain a fraction of trimethylated H3K4, whereas cells lacking Shg1 show slightly elevated levels of both di- and trimethylation. Set1C associates with both serine 5- and serine 2-phosphorylated forms of polymerase II, indicating that the association persists to the 3' end of transcribed genes. Taken together, our results suggest that Set1C subunits stimulate Set1 catalytic activity all along active genes.     

Biologically active constituents of a polyphenol extract from Geranium sanguineum L. with anti-influenza activity

From the aerial roots of the medicinal plant Geranium sanguineum L. a polyphenol-rich extract with strong anti-influenza activity has been isolated. To investigate its active fractions, the extract was partitioned by solvents with increasing polarity. The n-BuOH fraction contained the majority of the in vitro antiviral activity; the EtOAc fraction was the most effective one in vivo. A bioassay-directed fractionation of the n-BuOH and EtOAc fractions was performed to obtain information about the nature of the chemical components of the plant extract, responsible for the antiviral effect. The individual constituents were identified by spectroscopic methods and comparison with authentic samples and by HPLC. The cell-toxic and virus-inhibitory effects of the fractions and some individual polyphenol compounds, found in Geranium sanguineum L., were studied using the replication of representative influenza viruses in cell cultures. This study showed that the presence of a variety of biologically active compounds as well as the possible synergistic interactions between them seem to be decisive for the overall antiviral effect.