Metabolic fingerprint of progression of chronic hepatitis B: changes in the metabolome and novel diagnostic possibilities.

INTRODUCTION: Chronic hepatitis B (CHB) affects 257 million individuals worldwide with an annual estimated mortality rate of 880,000 individuals. Accurate diagnosis of the stage of disease is difficult, and there is considerable uncertainty concerning the optimal point in time, when treatment should be started. OBJECTIVES: By analyzing and comparing the metabolomes of patients at different stages of CHB and comparing them to healthy individuals, we want to determine the metabolic signature of disease progression and develop a more accurate metabolome-based method for diagnosis of disease progression ultimately giving a better basis for treatment decisions. METHODS: In this study, we used the combination of transient elastography and serum metabolomics of 307 serum samples from a group of 90 patients with CHB before and under treatment (with a follow-up time up to 10 years) at different progression stages over the clinical phases and 43 healthy controls.. RESULTS: Our data show that the metabolomics approach can successfully discover CHB changing from the immune tolerance to the immune clearance phase and show distinctive metabolomes from different medical treatment stages. Perturbations in ammonia detoxification, glutamine and glutamate metabolism, methionine metabolism, dysregulation of branched-chain amino acids, and the tricarboxylic acid (TCA) cycle are the main factors involved in the progression of the disease. Fluctuations increasing in aspartate, glutamate, glutamine, methionine and 13 other metabolites are fingerprints of progression. CONCLUSIONS: The metabolomics approach may expand the diagnostic armamentarium for patients with CHB. This method can provide a more detailed decision basis for starting medical treatment.

Chromium sequencing: the doors open for genomics of obligate plant pathogens.

It is challenging to sequence and assemble genomes of obligate plant pathogens and microorganisms because of limited amounts of DNA, comparatively large genomes and high numbers of repeat regions. We sequenced the 1.2 gigabase genome of an obligate rust fungus, Austropuccinia psidii, the cause of rust on Myrtaceae, with a Chromium 10X library. This technology has mostly been applied for single-cell sequencing in immunological studies of mammals. We compared scaffolds of a genome assembled from the Chromium library with one assembled from combined paired-end and mate-pair libraries, sequenced with Illumina HiSeq. Chromium 10X provided a superior assembly, in terms of number of scaffolds, N50 and number of genes recovered. It required less DNA than other methods and was sequenced and assembled at a lower cost. Chromium sequencing could provide a solution to sequence and assemble genomes of obligate plant pathogens where the amount of available DNA is a limiting factor.

In vivo gene expression in a Staphylococcus aureus prosthetic joint infection characterized by RNA sequencing and metabolomics: a pilot study.

BACKGROUND: Staphylococcus aureus gene expression has been sparsely studied in deep-sited infections in humans. Here, we characterized the staphylococcal transcriptome in vivo and the joint fluid metabolome in a prosthetic joint infection with an acute presentation using deep RNA sequencing and nuclear magnetic resonance spectroscopy, respectively. We compared our findings with the genome, transcriptome and metabolome of the S. aureus joint fluid isolate grown in vitro. RESULT: From the transcriptome analysis we found increased expression of siderophore synthesis genes and multiple known virulence genes. The regulatory pattern of catabolic pathway genes indicated that the bacterial infection was sustained on amino acids, glycans and nucleosides. Upregulation of fermentation genes and the presence of ethanol in joint fluid indicated severe oxygen limitation in vivo. CONCLUSION: This single case study highlights the capacity of combined transcriptome and metabolome analyses for elucidating the pathogenesis of prosthetic infections of major clinical importance.

A metabolic model for members of the genus Tetrasphaera involved in enhanced biological phosphorus removal.

Members of the genus Tetrasphaera are considered to be putative polyphosphate accumulating organisms (PAOs) in enhanced biological phosphorus removal (EBPR) from wastewater. Although abundant in Danish full-scale wastewater EBPR plants, how similar their ecophysiology is to 'Candidatus Accumulibacter phosphatis' is unclear, although they may occupy different ecological niches in EBPR communities. The genomes of four Tetrasphaera isolates (T. australiensis, T. japonica, T. elongata and T. jenkinsii) were sequenced and annotated, and the data used to construct metabolic models. These models incorporate central aspects of carbon and phosphorus metabolism critical to understanding their behavior under the alternating anaerobic/aerobic conditions encountered in EBPR systems. Key features of these metabolic pathways were investigated in pure cultures, although poor growth limited their analyses to T. japonica and T. elongata. Based on the models, we propose that under anaerobic conditions the Tetrasphaera-related PAOs take up glucose and ferment this to succinate and other components. They also synthesize glycogen as a storage polymer, using energy generated from the degradation of stored polyphosphate and substrate fermentation. During the aerobic phase, the stored glycogen is catabolized to provide energy for growth and to replenish the intracellular polyphosphate reserves needed for subsequent anaerobic metabolism. They are also able to denitrify. This physiology is markedly different to that displayed by 'Candidatus Accumulibacter phosphatis', and reveals Tetrasphaera populations to be unusual and physiologically versatile PAOs carrying out denitrification, fermentation and polyphosphate accumulation.

High diversity and abundance of putative polyphosphate-accumulating Tetrasphaera-related bacteria in activated sludge systems.

The diversity of the putative polyphosphate-accumulating genus Tetrasphaera in wastewater treatment systems with enhanced biological phosphorus removal (EBPR) was investigated using the full-cycle rRNA approach combined with microautoradiography and histochemical staining. 16S rRNA actinobacterial gene sequences were retrieved from different full-scale EBPR plants, and the sequences belonging to the genus Tetrasphaera (family Intrasporangiaceae) were found to form three clades. Quantitative FISH analyses of the communities in five full-scale EBPR plants using 10 new oligonucleotide probes were carried out. The results showed that the probe-defined Tetrasphaera displayed different morphologies and constituted up to 30% of the total biomass. It was shown that active uptake of orthophosphate and formation of polyphosphate took place in most of the probe-defined Tetrasphaera populations. However, aerobic uptake of orthophosphate only took place after uptake of certain carbon sources under anaerobic conditions and these were more diverse than hitherto assumed: amino acids, glucose, and for some also acetate. Tetrasphaera seemed to occupy a slightly different ecological niche compared with 'Candidatus Accumulibacter' contributing to a functional redundancy and stability of the EBPR process.

MushBase: A Mushroom Information Database Application.

A database application, namely MushBase, has been built based on Microsoft Access in order to store and manage different kinds of data about mushroom biological information of species, strains and their physiological characteristics such as geometries and growth condition(s). In addition, it is also designed to store another group of information that is experimental data about mushroom classification by Random Amplification of Polymorphic DNA (RAPD). These two groups of information are stored and managed in the way so that it is convenient to retrieve each group of data and to cross-refer between them as well.