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During the past five decades, it has become evident that Adeno-associated virus (AAV) represents one of the most potent, most versatile, and thus most auspicious platforms available for gene delivery into cells, animals and, ultimately, humans. Particularly attractive is the ease with which the viral capsid—the major determinant of virus–host interaction including cell specificity and antibody recognition—can be modified and optimized at will. This has motivated countless researchers to develop high-throughput technologies in which genetically engineered AAV capsid libraries are subjected to a vastly hastened emulation of natural evolution, with the aim to enrich novel synthetic AAV capsids displaying superior features for clinical application. While the power and potential of these forward genetics approaches is undisputed, they are also inherently challenging as success depends on a combination of library quality, fidelity, and complexity. Here, we will describe and discuss two original, very exciting strategies that have emerged over the last three years and that promise to alleviate at least some of these concerns, namely, (i) a reverse genetics approach termed “ancestral AAV sequence reconstruction,” and (ii) AAV genome barcoding as a technology that can advance both, forward and reverse genetics stratagems. Notably, despite the conceptual differences of these two technologies, they pursue the same goal which is tailored acceleration of AAV evolution and thus winning the race for the next-generation AAV vectors for clinical use.

Adeno-associated virus (AAV) forms the basis for several commercial gene therapy products and for countless gene transfer vectors derived from natural or synthetic viral isolates that are under intense preclinical evaluation. Here, we report a versatile pipeline that enables the direct side-by-side comparison of pre-selected AAV capsids in high-throughput and in the same animal, by combining DNA/RNA barcoding with multiplexed next-generation sequencing. For validation, we create three independent libraries comprising 183 different AAV variants including widely used benchmarks and screened them in all major tissues in adult mice. Thereby, we discover a peptide-displaying AAV9 mutant called AAVMYO that exhibits superior efficiency and specificity in the musculature including skeletal muscle, heart and diaphragm following peripheral delivery, and that holds great potential for muscle gene therapy. Our comprehensive methodology is compatible with any capsids, targets and species, and will thus facilitate and accelerate the stratification of optimal AAV vectors for human gene therapy. Adeno-associated virus is the basis of many gene therapies and gene transfer vectors. Here the authors report a pipeline to enable side-by-side comparison of pre-selected capsids in a high throughput manner.

The human musculature is a promising and pivotal target for human gene therapy, owing to numerous diseases that affect this tissue and that are often monogenic, making them amenable to treatment and potentially cure on the genetic level. Particularly attractive would be the possibility to deliver clinically relevant DNA to muscle tissue from a minimally invasive, intravenous vector delivery. To date, this aim has been approximated by the use of Adeno-associated viruses (AAV) of different serotypes (rh.74, 8, 9) that are effective, but unfortunately not specific to the muscle and hence not ideal for use in patients. Here, we have thus studied the muscle tropism and activity of another AAV serotype, AAVpo1, that was previously isolated from pigs and found to efficiently transduce muscle following direct intramuscular injection in mice. The new data reported here substantiate the usefulness of AAVpo1 for muscle gene therapies by showing, for the first time, its ability to robustly transduce all major muscle tissues, including heart and diaphragm, from peripheral infusion. Importantly, in stark contrast to AAV9 that forms the basis for ongoing clinical gene therapy trials in the muscle, AAVpo1 is nearly completely detargeted from the liver, making it a very attractive and potentially safer option.

Recombinant adeno-associated virus (AAV) is the most widely used vector for gene therapy in clinical trials. To increase transduction efficiency and specificity, novel engineered AAV variants with modified capsid sequences are evaluated in human cell cultures and non-human primates. In the present study, we tested two novel AAV capsid variants, AAV2-NNPTPSR and AAV9-NVVRSSS, in human cortical neurons, which were directly converted from human induced pluripotent stem cells and cocultured with rat primary astrocytes. AAV2-NNPTPSR variant efficiently transduced both induced human cortical glutamatergic neurons and induced human cortical GABAergic interneurons. By contrast, AAV9-NVVRSSS variant transduced both induced human cortical neurons and cocultured rat primary astrocytes. High viral titers (1x10E5 viral genomes per cell) caused a significant decrease in viability of induced human cortical neurons. Low viral titers (1x10E4 viral genomes per cell) lead to a significant increase in the neuronal activity marker c-Fos in transduced human neurons following treatment with a potassium channel blocker, which may indicate functional alterations induced by viral transduction and/or transgene expression. Competing Interest Statement The authors have declared no competing interest.

Abstract The adult mammalian brain entails a reservoir of neural stem cells (NSCs) generating glial cells and neurons. However, NSCs become increasingly quiescent with age, which hampers their regenerative capacity. New means are therefore required to genetically modify adult NSCs for re-enabling endogenous brain repair. Recombinant adeno-associated viruses (AAVs) are ideal gene therapy vectors due to an excellent safety profile and high transduction efficiency. We thus conducted a high-throughput screening of 177 intraventricularly injected barcoded AAV variants profiled by RNA sequencing. Quantification of barcoded AAV mRNAs identified two synthetic capsids, AAV9_A2 and AAV1_P5, both of which transduce active and quiescent NSCs. Further optimization of AAV1_P5 by judicious selection of promoter and dose of injected viral genomes enabled labeling of 30-60% of the NSC compartment, which was validated by FACS analyses and single cell RNA sequencing. Importantly, transduced NSC readily produced neurons. The present study identifies AAV variants with a high regional tropism towards the v-SVZ with high efficiency in targeting adult NSCs, thereby paving the way for preclinical testing of regenerative gene therapy. Competing Interest Statement D.G. is a co-founder and shareholder of AaviGen GmbH. All other authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

With the emergence of low-cost robotic systems, such as unmanned aerial vehicle, the importance of embedded high-performance image processing has increased. For a long time, FPGAs were the only processing hardware that were capable of high-performance computing, while at the same time preserving a low power consumption, essential for embedded systems. However, the recently increasing availability of embedded GPU-based systems, such as the NVIDIA Jetson series, comprised of an ARM CPU and a NVIDIA Tegra GPU, allows for massively parallel embedded computing on graphics hardware. With this in mind, we propose an approach for real-time embedded stereo processing on ARM and CUDA-enabled devices, which is based on the popular and widely used Semi-Global Matching algorithm. In this, we propose an optimization of the algorithm for embedded CUDA GPUs, by using massively parallel computing, as well as using the NEON intrinsics to optimize the algorithm for vectorized SIMD processing on embedded ARM CPUs. We have evaluated our approach with different configurations on two public stereo benchmark datasets to demonstrate that they can reach an error rate as low as 3.3%. Furthermore, our experiments show that the fastest configuration of our approach reaches up to 46 FPS on VGA image resolution. Finally, in a use-case specific qualitative evaluation, we have evaluated the power consumption of our approach and deployed it on the DJI Manifold 2-G attached to a DJI Matrix 210v2 RTK unmanned aerial vehicle (UAV), demonstrating its suitability for real-time stereo processing onboard a UAV.

Biostimulants (Bio-effectors, BEs) comprise plant growth-promoting microorganisms and active natural substances that promote plant nutrient-acquisition, stress resilience, growth, crop quality and yield. Unfortunately, the effectiveness of BEs, particularly under field conditions, appears highly variable and poorly quantified. Using random model meta-analyses tools, we summarize the effects of 107 BE treatments on the performance of major crops, mainly conducted within the EU-funded project BIOFECTOR with a focus on phosphorus (P) nutrition, over five years. Our analyses comprised 94 controlled pot and 47 field experiments under different geoclimatic conditions, with variable stress levels across European countries and Israel. The results show an average growth/yield increase by 9.3% (n=945), with substantial differences between crops (tomato > maize > wheat) and growth conditions (controlled nursery + field (Seed germination and nursery under controlled conditions and young plants transplanted to the field) > controlled > field). Average crop growth responses were independent of BE type, P fertilizer type, soil pH and plant-available soil P (water-P, Olsen-P or Calcium acetate lactate-P). BE effectiveness profited from manure and other organic fertilizers, increasing soil pH and presence of abiotic stresses (cold, drought/heat or salinity). Systematic meta-studies based on published literature commonly face the inherent problem of publication bias where the most suspected form is the selective publication of statistically significant results. In this meta-analysis, however, the results obtained from all experiments within the project are included. Therefore, it is free of publication bias. In contrast to reviews of published literature, our unique study design is based on a common standardized protocol which applies to all experiments conducted within the project to reduce sources of variability. Based on data of crop growth, yield and P acquisition, we conclude that application of BEs can save fertilizer resources in the future, but the efficiency of BE application depends on cropping systems and environments.

The progressive forming of complex components, including blanking, deep-drawing, and bending, represents an economically efficient sheet metal processing method. Wear control is crucial for ensuring product quality by preventing defects and minimizing material waste. The integration of optical sensors for qualitative wear detection, driven by advancing digitisation and miniaturisation, supplements conventional monitoring techniques. This study introduces a modular, agile camera-based measurement system that records component geometry and allows cause-specific feedback on wear progression. By assigning anomalies to distinct process stages, the system enhances defect diagnosis. The employed photometric stereo analysis relies on multiple images captured under varying illumination angles. Photometric reconstruction enables the calculation of normal maps, facilitating the assessment of surface characteristics through pixel-wise brightness variations. Deviations from predefined standards allow for the precise identification of irregularities. By delivering real-time, non-intrusive insights into the forming process, this approach establishes a foundation for efficient, reliable, and adaptive manufacturing. Its contributions to intelligent forming technologies enable enhanced process control and quality assurance, advancing the state of modern industrial production. Through the fusion of optical monitoring and computational analysis, the proposed methodology represents a significant step towards data-driven, self-optimising manufacturing systems.

Approximately 10% of acute pancreatitis episodes are caused by hypertriglyceridemia, making it the third leading single‐agent cause. Data on the clinical safety and efficacy of plasmapheresis in this medical condition are lacking. In this propensity‐score‐matched retrospective cohort study, plasmapheresis had no effect on in‐hospital mortality and organ failure, was associated with prolonged hospitalization, and had no beneficial impact on other clinical endpoints. Given the lack of data supporting clinical efficacy, the indication of plasmapheresis in acute hypertriglyceridemia‐induced pancreatitis should be applied cautiously. Prospective trials are needed.

Background: In recent years, sodium-glucose cotransporter-2 (SGLT2) inhibitors have demonstrated significant cardiovascular and renal benefits in patients with heart failure (HF), in addition to their established antidiabetic effects. However, their role in arrhythmia prevention remains unclear. This study aimed to assess the effect of SGLT2 inhibitors on the incidence of supraventricular tachycardia (SVT) and ventricular tachycardia (VT) in patients with HF with reduced ejection fraction (HFrEF) during an extended follow-up period. Methods: This retrospective cohort study was conducted between January 2019 and November 2024 at the Ulm University Heart Center. All patients exhibited severely reduced left ventricular function and underwent primary prophylactic implantable cardioverter-defibrillator (ICD) implantation. Half of the cohort initiated SGLT2 inhibitor therapy alongside optimal medical HF treatment (the SGLT2 group). Patients were followed for approximately three years (846.2 ± 520.0 days) and the incidence of SVT and VT was analyzed using intracardiac Holter records of the ICD. Results: The study population consisted of 78 patients with a mean age of 66.6 ± 12.9 years. Over the follow-up period, a significant prolongation in the time to first occurrence of SVT was observed in the SGLT2 group (Log-Rank p = 0.03), suggesting a potential protective effect of SGLT2 inhibitors. However, regarding VT, additional SGLT2 inhibitor therapy did not show an additional benefit to optimal medical HF treatment. Conclusions: This study suggests that SGLT2 inhibitors may play a beneficial role in reducing the incidence of SVT in patients with HFrEF. These results highlight the importance of further investigating the antiarrhythmic potential of SGLT2 inhibitors through large-scale, prospective studies to better understand their clinical implications and mechanisms of action.