Insufficient glucose supply is linked to hypothermia upon cold exposure in high-fat diet-fed mice lacking PEMT

Mice that lack phosphatidylethanolamine N-methyltransferase (Pemt^−/− mice) are protected from high-fat (HF) diet-induced obesity. HF-fed Pemt^−/− mice show higher oxygen consumption and heat production, indicating that more energy might be utilized for thermogenesis and might account for the resistance to diet-induced weight gain. To test this hypothesis, HF-fed Pemt^−/− and Pemt^+/+ mice were challenged with acute cold exposure at 4°C. Unexpectedly, HF-fed Pemt^−/− mice developed hypothermia within 3 h of cold exposure. In contrast, chow-fed Pemt^−/− mice, possessing similar body mass, maintained body temperature. Lack of PEMT did not impair the capacity for thermogenesis in skeletal muscle or brown adipose tissue. Plasma catecholamines were not altered by Pemt genotype, and stimulation of lipolysis was intact in brown and white adipose tissue of Pemt^−/− mice. HF-fed Pemt^−/− mice also developed higher systolic blood pressure, accompanied by reduced cardiac output. Choline supplementation reversed the cold-induced hypothermia in HF-fed Pemt^−/− mice with no effect on blood pressure. Plasma glucose levels were ∼50% lower in HF-fed Pemt^−/− mice compared with Pemt^+/+ mice. Choline supplementation normalized plasma hypoglycemia and the expression of proteins involved in gluconeogenesis. We propose that cold-induced hypothermia in HF-fed Pemt^−/− mice is linked to plasma hypoglycemia due to compromised hepatic glucose production.     

BlastXtract2: Improving early exploration of (meta) genomes

To manage and intelligently mine the avalanche of genomic sequences intuitive and user-friendly graphical interfaces are required. Here we present BlastXtract2 which exclusively facilitates early exploration of un-annotated genomic and metagenomic sequences. Various formats of translated searches, including the commonly used BlastX, of multiple sequences against multiple protein databases can be uploaded to a relational database server, which can be accessed via a locally installed web-server. There, an intuitive GUI allows straightforward data-mining and enables quick detection of potential frameshifts and poorly sequenced or assembled regions, thereby contributing in making BlastXtract2 a unique and valuable tool for early exploration of (meta)genomic sequences.

Availability

Source code, documentation and an online demo version are available at https://github.com/ ClaessonLab/BlastXtract2     

Bacterial SOS response: a food safety perspective

The SOS response is a conserved inducible pathway in bacteria that is involved in DNA repair and restart of stalled replication forks. Activation of the SOS response can result in stress resistance and mutagenesis. In food processing facilities and during food preservation, bacteria are exposed to stresses and stimuli that potentially activate the SOS response, resulting in resistant or adapted bacteria. This review places the bacterial SOS response in a food safety perspective by providing an overview of the known triggers of the SOS response mechanism and its impact on the survival of spoilage and pathogenic bacteria.     

The relation between cartilage biomarkers (C2C,C1,2C,CS846, and CPII) and the long-term outcome of rheumatoid arthritis patients within the CAMERA trial

Introduction  

The aim of this study was to investigate whether serum biomarker levels of C2C, C1,2C, CS846, and CPII can predict the long-term course of disease activity and radiographic progression early in the disease course of rheumatoid arthritis (RA).     

A 50% reduction of excitability but not of intercellular coupling affects conduction velocity restitution and activation delay in the mouse heart

Introduction

Computer simulations suggest that intercellular coupling is more robust than membrane excitability with regard to changes in and safety of conduction. Clinical studies indicate that SCN5A (excitability) and/or Connexin43 (Cx43, intercellular coupling) expression in heart disease is reduced by approximately 50%. In this retrospective study we assessed the effect of reduced membrane excitability or intercellular coupling on conduction in mouse models of reduced excitability or intercellular coupling.

Methods and Results

Epicardial activation mapping of LV and RV was performed on Langendorff-perfused mouse hearts having the following: 1) Reduced excitability: Scn5a haploinsufficient mice; and 2) reduced intercellular coupling: Cx43^CreER(T)/fl mice, uninduced (50% Cx43) or induced (10% Cx43) with Tamoxifen. Wild type (WT) littermates were used as control. Conduction velocity (CV) restitution and activation delay were determined longitudinal and transversal to fiber direction during S₁S₁ pacing and S₁S₂ premature stimulation until the effective refractory period. In both animal models, CV restitution and activation delay in LV were not changed compared to WT. In contrast, CV restitution decreased and activation delay increased in RV during conduction longitudinal but not transverse to fiber direction in Scn5a heterozygous animals compared to WT. In contrast, a 50% reduction of intercellular coupling did not affect either CV restitution or activation delay. A decrease of 90% Cx43, however, resulted in decreased CV restitution and increased activation delay in RV, but not LV.

Conclusion

Reducing excitability but not intercellular coupling by 50% affects CV restitution and activation delay in RV, indicating a higher safety factor for intercellular coupling than excitability in RV.     

Effect of hydrophobic side chains on the pressure-induced changes in the NMR spectra of water-soluble biopolymers

Measurements have been made of the high-resolution nmr spectra of the polyamino acids poly[N⁵-(2-hydroxyethyl)-L -glutamine] and poly[N⁵-(4-hydroxybutyl)-L -glutamine] in mixed deuterium oxide and water solvent at varying pressures from 1.03 to 3163.7 kg/cm². The results are compared with previously reported results for the polymer poly[N⁵-(3-hydroxypropyl)-L -glutamine] under similar conditions. The significance of the behaviour of the polymers is considered in terms of the effect of the presence of hydrophobic residues in their side chains.     

Characterisation of a novel amylosucrase from Deinococcus radiodurans

The BLAST search for amylosucrases has yielded several gene sequences of putative amylosucrases, however, with various questionable annotations. The putative encoded proteins share 32-48% identity with Neisseria polysaccharea amylosucrase (AS) and contain several amino acid residues proposed to be involved in AS specificity. First, the B-domains of the putative proteins and AS are highly similar. In addition, they also reveal additional residues between putative beta-strand 7 and alpha-helix 7 which could correspond to the AS B'-domain, which turns the active site into a deep pocket. Finally, conserved Asp and Arg residues could form a salt bridge similar to that found in AS, which is responsible for the glucosyl unit transfer specificity. Among these found genes, locus NP_294657.1 (dras) identified in the Deinococcus radiodurans genome was initially annotated as an alpha-amylase encoding gene. The putative encoded protein (DRAS) shares 42% identity with N. polysaccharea AS. To investigate the activity of this protein, gene NP_294657.1 was cloned and expressed in Escherichia coli. When acting on sucrose, the pure recombinant enzyme was shown to catalyse insoluble amylose polymer synthesis accompanied by side-reactions (sucrose hydrolysis, sucrose isomer and soluble maltooligosaccharide formation). Kinetic analyses further showed that DRAS follows a non-Michaelian behaviour toward sucrose substrate and is activated by glycogen, as is AS. This demonstrates that gene NP_294657.1 encodes an amylosucrase.     

Increased amylosucrase activity and specificity, and identification of regions important for activity, specificity and stability through molecular evolution

Amylosucrase is a transglycosidase which belongs to family 13 of the glycoside hydrolases and transglycosidases, and catalyses the formation of amylose from sucrose. Its potential use as an industrial tool for the synthesis or modification of polysaccharides is hampered by its low catalytic efficiency on sucrose alone, its low stability and the catalysis of side reactions resulting in sucrose isomer formation. Therefore, combinatorial engineering of the enzyme through random mutagenesis, gene shuffling and selective screening (directed evolution) was applied, in order to generate more efficient variants of the enzyme. This resulted in isolation of the most active amylosucrase (Asn387Asp) characterized to date, with a 60% increase in activity and a highly efficient polymerase (Glu227Gly) that produces a longer polymer than the wild-type enzyme. Furthermore, judged from the screening results, several variants are expected to be improved concerning activity and/or thermostability. Most of the amino acid substitutions observed in the totality of these improved variants are clustered around specific regions. The secondary sucrose-binding site and beta strand 7, connected to the important Asp393 residue, are found to be important for amylosucrase activity, whereas a specific loop in the B-domain is involved in amylosucrase specificity and stability.     

A re-analysis of agricultural production and consumption: implications for understanding the British Iron Age

Patterning in the carbonized seed assemblages from Iron Age sites in Britain has led to the development of several explanatory models. The most influential of these, by Martin Jones, proposed that grain-rich assemblages represent producer sites and weed-/chaff-rich assemblages consumer sites. The assumptions underlying this model and the method of constructing the diagrams are discussed and a new approach is put forward, stressing the need for appropriate levels of analysis and interpretation. It is concluded that a predominance of grain-rich samples is far more likely to be an indicator of the scale of production and consumption, than a means of distinguishing between the two. A review of the evidence from Iron Age Britain indicates that grain-rich site assemblages primarily occur in the south of the country, and frequently co-occur with pits, used for the storage of surplus grain. Moreover, such pits are concentrated in hillforts. It is proposed that the grain stored in such pits may have been used in large communal feasts and that the hillforts functioned as locations for feasting.

Analysing the effect of candidate genes on complex traits: an application in multiple sclerosis

The conventional approach of candidate gene studies in complex diseases is to look at the effect of one gene at a time. However, as the outcome of chronic diseases is influenced by a large number of alleles, simultaneous analysis is needed. We demonstrate the application of multivariate regression and cluster analysis to a multiple sclerosis (MS) dataset with genotypes for 489 patients at 11 candidate genes selected on their involvement in the immune response. Using multivariate regression, we observed that different sets of genes were associated with different disease characteristics that reflect different aspects of disease. Out of 15 polymorphisms, we identified one that contributed to the severity of disease. In addition, the set of 15 polymorphisms was predictive for yearly increase in lesion volume as seen on T1-weighted MRI (p=0.044). From this set, no individual polymorphisms could be identified after adjustment for multiple hypotheses testing. By means of a cluster analysis, we aimed to identify subgroups of patients with different pathogenic subtypes of MS on the basis of their genetic profile. We constructed genetic profiles from the genotypes at the 11 candidate genes. The approach proved to be feasible. We observed three clusters in the sample of patients. In this study, we observed no significant differences in the usual clinical and MRI outcome measures between the different clusters. However, a number of consistent trends indicated that this clustering might be related to the course of disease. With a larger number of genes regulating the course of disease, we may be able to identify clinically relevant clusters. The analyses are easily implemented and will be applicable to candidate gene studies of complex traits in general.