Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology.

Wastewater-based epidemiology is widely applied in Austria since April 2020 to monitor the SARS-CoV-2 pandemic. With a steadily increasing number of monitored wastewater facilities, 123 plants covering roughly 70 % of the 9 million population were monitored as of August 2022. In this study, the SARS-CoV-2 viral concentrations in raw sewage were analysed to infer short-term hospitalisation occupancy. The temporal lead of wastewater-based epidemiological time series over hospitalisation occupancy levels facilitates the construction of forecast models. Data pre-processing techniques are presented, including the approach of comparing multiple decentralised wastewater signals with aggregated and centralised clinical data. Time­lead quantification was performed using cross-correlation analysis and coefficient of determination optimisation approaches. Multivariate regression models were successfully applied to infer hospitalisation bed occupancy. The results show a predictive potential of viral loads in sewage towards Covid-19 hospitalisation occupancy, with an average lead time towards ICU and non-ICU bed occupancy between 14.8-17.7 days and 8.6-11.6 days, respectively. The presented procedure provides access to the trend and tipping point behaviour of pandemic dynamics and allows the prediction of short-term demand for public health services. The results showed an increase in forecast accuracy with an increase in the number of monitored wastewater treatment plants. Trained models are sensitive to changing variant types and require recalibration of model parameters, likely caused by immunity by vaccination and/or infection. The utilised approach displays a practical and rapidly implementable application of wastewater-based epidemiology to infer hospitalisation occupancy.

Viral variant-resolved wastewater surveillance of SARS-CoV-2 at national scale.

SARS-CoV-2 surveillance by wastewater-based epidemiology is poised to provide a complementary approach to sequencing individual cases. However, robust quantification of variants and de novo detection of emerging variants remains challenging for existing strategies. We deep sequenced 3,413 wastewater samples representing 94 municipal catchments, covering >59% of the population of Austria, from December 2020 to February 2022. Our system of variant quantification in sewage pipeline designed for robustness (termed VaQuERo) enabled us to deduce the spatiotemporal abundance of predefined variants from complex wastewater samples. These results were validated against epidemiological records of >311,000 individual cases. Furthermore, we describe elevated viral genetic diversity during the Delta variant period, provide a framework to predict emerging variants and measure the reproductive advantage of variants of concern by calculating variant-specific reproduction numbers from wastewater. Together, this study demonstrates the power of national-scale WBE to support public health and promises particular value for countries without extensive individual monitoring.

Circulating cell-free DNA is predominantly composed of retrotransposable elements and non-telomeric satellite DNA.

Circulating cell-free DNAs (cfDNAs) are DNA fragments which can be isolated from mammalian blood serum or plasma. In order to gain deeper insight into their origin(s), we have characterized the composition of human and cattle cfDNA via large-scale analyses of high-throughput sequencing data. We observed significant differences between the composition of cfDNA in serum/plasma and the corresponding DNA sequence composition of the human genome. Retrotransposable elements and non-telomeric satellite DNA were particularly overrepresented in the cfDNA population, while telomeric satellite DNA was underrepresented. This was consistently observed for human plasma, bovine serum and for the supernatant of human cancer cell cultures. Our results suggest that reverse transcription of retrotransposable elements and secondary-structure formation during the replication of satellite DNA are contributing to the composition of the cfDNA molecules in the mammalian blood stream. We believe that our work is an important step towards the understanding of the biogenesis of cfDNAs and thus may also facilitate the future exploitation of their diagnostic potential.

Evaluation of host-based molecular markers for the early detection of human sepsis.

We have identified 24 molecular markers, based on circulating nucleic acids (CNA) originating from the human genome, which in combination can be used in a quantitative real-time PCR (qPCR) assay to identify the presence of human sepsis, starting two to three days before the first clinical signs develop and including patients who meet the SEPSIS-3 criteria. The accuracy was more than 87 % inside of the same patient cohort for which the markers were developed and up to 81 % in blind studies of patient cohorts which were not included in the marker development. As our markers are host-based, they can be used to capture bacterial as well as fungal sepsis, unlike the current PCR-based tests, which require species-specific primer sets for each organism causing human sepsis. Our assay directly uses an aliquot of cell-free blood as the substrate for the PCR reaction, thus allowing to obtain the diagnostic results in three to four hours after the collection of the blood samples.

Enzymes revolutionize the bioproduction of value-added compounds: From enzyme discovery to special applications.

Competitive sustainable production in industry demands new and better biocatalysts, optimized bioprocesses and cost-effective product recovery. Our review sheds light on the progress made for the individual steps towards these goals, starting with the discovery of new enzymes and their corresponding genes. The enzymes are subsequently engineered to improve their performance, combined in reaction cascades to expand the reaction scope and integrated in whole cells to provide an optimal environment for the bioconversion. Strain engineering using synthetic biology methods tunes the host for production, reaction design optimizes the reaction conditions and downstream processing ensures the efficient recovery of commercially viable products. Selected examples illustrate how modified enzymes can revolutionize future-oriented applications ranging from the bioproduction of bulk-, specialty- and fine chemicals, active pharmaceutical ingredients and carbohydrates, over the conversion of the greenhouse-gas CO2 into valuable products and biocontrol in agriculture, to recycling of synthetic polymers and recovery of precious metals.

Hydrogen-Driven Cofactor Regeneration for Stereoselective Whole-Cell C=C Bond Reduction in Cupriavidus necator.

The coupling of recombinantly expressed oxidoreductases to endogenous hydrogenases for cofactor recycling permits the omission of organic cosubstrates as sacrificial electron donors in whole-cell biotransformations. This increases atom efficiency and simplifies the reaction. A recombinant ene-reductase was expressed in the hydrogen-oxidizing proteobacterium Cupriavidus necator H16. In hydrogen-driven biotransformations, whole cells catalyzed asymmetric C=C bond reduction of unsaturated cyclic ketones with stereoselectivities up to >99 % enantiomeric excess. The use of hydrogen as a substrate for growth and cofactor regeneration is particularly attractive because it represents a strategy for improving atom efficiency and reducing side product formation associated with the recycling of organic cofactors.

CbbR and RegA regulate cbb operon transcription in Ralstonia eutropha H16.

The biotechnologically important Gram-negative ß-proteobacterium Ralstonia eutropha H16 is able to grow lithoautotrophically by utilizing CO2 and H2 as sole carbon and energy sources, respectively. CO2 is fixed by the CBB cycle, which is encoded in duplicate on the genome of R. eutropha H16. The transcription of both cbb operons is controlled by the transcription regulator CbbR dependent on intracellular PEP levels as a response to the carbon-state of the cell. As demonstrated in this study transcription control of both cbb operons appears to be more complex and additionally involves, next to CbbR, the transcription regulator RegA as part of the global transcription regulation system RegA/RegB. The identification of a highly conserved RegA/RegB homologue in R. eutropha H16 and experimental evidence gathered in this study reveal that RegA plays a crucial role in the transcription control of both cbb promoters. RegA is able to induce cbb promoter activity and controls transcription in combination with CbbR dependent on cellular PEP concentrations. These results clearly demonstrate that RegA plays an important role in cbb operon transcription regulation and may also be relevant for the control of other energy-utilizing and energy-generating pathways of R. eutropha H16. In addition to promoting a more complete understanding of the CO2 fixation mechanism of R. eutropha H16 these findings also provide crucial insights for the utilization of this bacterium in biotechnological applications with respect to CO2 fixation.

Design of inducible expression vectors for improved protein production in Ralstonia eutropha H16 derived host strains.

Ralstonia eutropha H16 (Cupriavidus necator H16) is a Gram-negative, facultative chemolithoautotrophic bacterium which can use H2 and CO2 as sole energy and carbon sources in the absence of organic substrates. The biotechnological use of R. eutropha H16 on an industrial scale has already been established; however, only a small number of tools promoting inducible gene expression is available. Within this study two systems promoting inducible expression were designed on the basis of the strong j5 promoter and the Escherichia coli lacI or the Pseudomonas putida cumate regulatory elements. Both expression vectors display desired regulatory features and further increase the number of suitable inducible expression systems for the production of metabolites and proteins with R. eutropha H16.

Characterization of two novel alcohol short-chain dehydrogenases/reductases from Ralstonia eutropha H16 capable of stereoselective conversion of bulky substrates.

Biocatalysis has significant advantages over organic synthesis in the field of chiral molecule production and several types of stereoselective enzymes are already in use in industrial biotechnology. However, there is still a high demand for new enzymes capable of transforming bulky molecules with sufficient operability. In order to reveal novel high-potential biocatalysts, the complete genome of the ß-proteobacterium Ralstonia eutropha H16 was screened for potential short-chain dehydrogenases/reductases (SDRs). We were able to identify two (S)-enantioselective SDRs named A5 and B3. These showed clear preference towards long-chain and aromatic secondary alcohols, aldehydes and ketones, with diaryl diketone benzil as one of the best substrates. In addition the phylogenetic analysis of all enzyme types, which are known to facilitate benzil reduction, revealed at least two separate evolutionary clusters. Our results indicate the biotechnological potential of SDRs A5 and B3 for the production of chiral compounds with potential commercial value.