The precise diagnosis and lifelong management of hereditary heart diseases, particularly cardiomyopathies and channelopathies, are increasingly dependent on the rapid analysis of massive genomic data generated by Next-Generation Sequencing (NGS). This reliance creates a critical challenge: securely and efficiently integrating large Variant Call Format (VCF) files into existing hospital information systems. This technical hurdle must be overcome to realize the promise of personalized cardiovascular medicine. The ability to sequence the human genome has ushered in a new era of personalized medicine, particularly within the field of precision cardiology. By gaining a thorough understanding of each patient’s genetic profile, physicians can now move beyond generalized care to tailor treatment plans to the individual. In clinical follow-up, genomic profiling has become essential to: (1) Diagnose genetic disorders, specifically Inherited Arrhythmias and Cardiomyopathies. (2) Perform family cascade screening to identify at-risk relatives. (3) Contribute to risk stratification for Sudden Cardiac Death (SCD) in the genes for which gene-specific risk models have been validated. (4) Guide life-saving interventions, such as determining the precise timing for Implantable Cardioverter-Defibrillator (ICD) placement. The ability to quickly and easily access all pertinent patient data is the main benefit of an Electronic Health Record (EHR). In this work, we will show how electronic health record systems (EHRS) can access and use genomic information in clinical care, using compression to enable fast, standardized storage and retrieval of data with tools available in a standard hospital setting, and leveraging the corresponding PACS functionality. By storing genomics data in a central repository accessible to EHR systems, healthcare providers can access the data when they need it. This can help to shorten the time spent diagnosing and treating patients. This approach was experimentally implemented and evaluated using the clinical genomic dataset from the FTGM Molecular Cardiology Laboratory, which routinely performs NGS for patients with hereditary heart disease. The J4CARE VNA PACS, based on the Open Source DICOM archive DCM4CHEE Archive 5.x, was selected as the repository for this experimental platform.
Bacterial cellulose is a class of sustainable biopolysaccharides with a three-dimensional nanofiber network structure. Owing to its high chemical purity, excellent mechanical properties, and good biocompatibility, it has broad application prospects in biomedicine, active packaging, and flexible electronics. The high economic and environmental costs of traditional synthetic culture media represent a key bottleneck limiting their industrial-scale production. By leveraging the metabolic synergy of the Symbiotic Culture of Bacteria and Yeast (SCOBY), agricultural byproducts such as molasses, tea waste, and crop straw can be converted into high-value bacterial cellulose, providing a viable pathway for low-carbon, green biomanufacturing. This paper establishes a systematic research paradigm of “feedstock–strain–property–application” and comprehensively reviews research progress on the production of bacterial cellulose from agricultural byproducts via kombucha fermentation: it elucidates the metabolic symbiosis patterns of yeast, Acetobacter, and lactic acid bacteria in the kombucha symbiotic culture, as well as the molecular regulatory mechanisms of the bcs operon and the second messenger c-di-GMP in cellulose biosynthesis; it analyzes the chemical composition characteristics of typical agricultural byproducts, revealing the regulatory roles of carbohydrates, nitrogen sources, minerals, and phenolic compounds in the substrates on microbial community structure, bacterial cellulose yield, as well as the material’s microstructure, crystallinity, and thermomechanical properties, and clarifies that endogenous active components in waste materials can enable in-situ functionalization of bacterial cellulose; summarize technical strategies for screening high-yield strains, rational optimization of symbiotic microbial communities, and genetic engineering modifications; introduce a closed-loop biorefining model for the high-value utilization of all fermentation components, as well as diverse application scenarios for functionalized bacterial cellulose. This review provides a systematic theoretical reference on the utilization of agricultural waste as a resource and the large-scale production of low-cost, high-performance bacterial cellulose, thereby contributing to the development of green biomanufacturing within the context of a circular bioeconomy.
Ethanol can react with active metals to form alkoxides and hydrogen gas, but metallic silicon exhibits relatively stable chemical properties and does not react with ethanol significantly under catalyst-free and low-temperature conditions. Previous research on organosilicon synthesis has primarily focused on the Rochow reaction, in which metallic silicon reacts with methyl chloride. The extension of copper-based catalysts from the Rochow reaction to enable the direct reaction of metallic silicon with ethanol, in which silicon replaces the hydroxyl hydrogen of ethanol to form silanes, has attracted widespread interest. In this study, we synthesized Cu2O with well-defined exposed crystal facets via facet engineering, modulating the surface facet ratios and systematically investigating the effects of these Cu2O with different morphologies on the direct reaction. Combining advanced spectroscopic techniques, density functional theory calculations, and molecular dynamics simulations, we revealed that Cu2O (111) exhibits the highest surface oxygen vacancy concentration and hydroxyl density. The oxygen vacancies on the Cu2O (111) surface facilitated the adsorption of ethanol, while the surface hydroxyl groups effectively promoted ethanol dehydrogenation. These two effects work in concert to render the Cu2O (111) facet the highest facet-dependent chemical reactivity in the direct reaction of metallic silicon and ethanol relative to those from other facets. Our study provides crucial insights into the cooperative roles of exposed active sites and surface crystal planes that are potentially relevant to heterogeneous catalysis. Furthermore, this work proposes an understanding of product selectivity to guide the development of other copper-based catalysts for the direct synthesis strategy.
