Process Development for the Enzymatic Gram-Scale Production of the Unnatural Nucleotide Sugar UDP-6-Azido-GalNAc.

Azido sugars hold great promise as substrates in numerous click-chemistry applications. However, the synthesis of activated azido sugars is limited by cost and complexity. Conventional chemical activation methods are intricate and time-consuming. In response, we have developed a process for the large-scale production of UDP-6-azido-GalNAc through enzymatic nucleotide sugar synthesis on a gram scale. Our optimization strategies encompassed refining the process parameters of an enzyme cascade featuring NahK from Bifidobacterium longum and AGX1 from Homo sapiens. Using the repetitive-batch-mode technology, we synthesized up to 2.1 g of UDP-6-azido-GalNAc, achieving yields up to 97 % in five consecutive batch cycles using a single enzyme batch. The synthesis process demonstrated to have total turnover numbers (TTNs) between 4.4-4.8 g of product per gram of enzyme (gP/gE) and STYs ranging from 1.7-2.4 g per liter per hour (g*L-1*h-1). By purification of a product solution pool containing 2.6 g (4.1 mmol) UDP-6-azido-GalNAc, 2.1 g (2,122.1 mg) UDP-6-azido-GalNAc (sodium salt) with a purity of 99.96 % (HPLC) were obtained. The overall recovery after purification was 81 % (3.32 mmol). Our work establishes a robust production platform for the gram-scale synthesis of unnatural nucleotide sugars, opening new avenues for applications in glycan engineering.

Wearable Devices: Implications for Precision Medicine and the Future of Health Care.

Wearable devices are integrated analytical units equipped with sensitive physical, chemical, and biological sensors capable of noninvasive and continuous monitoring of vital physiological parameters. Recent advances in disciplines including electronics, computation, and material science have resulted in affordable and highly sensitive wearable devices that are routinely used for tracking and managing health and well-being. Combined with longitudinal monitoring of physiological parameters, wearables are poised to transform the early detection, diagnosis, and treatment/management of a range of clinical conditions. Smartwatches are the most commonly used wearable devices and have already demonstrated valuable biomedical potential in detecting clinical conditions such as arrhythmias, Lyme disease, inflammation, and, more recently, COVID-19 infection. Despite significant clinical promise shown in research settings, there remain major hurdles in translating the medical uses of wearables to the clinic. There is a clear need for more effective collaboration among stakeholders, including users, data scientists, clinicians, payers, and governments, to improve device security, user privacy, data standardization, regulatory approval, and clinical validity. This review examines the potential of wearables to offer affordable and reliable measures of physiological status that are on par with FDA-approved specialized medical devices. We briefly examine studies where wearables proved critical for the early detection of acute and chronic clinical conditions with a particular focus on cardiovascular disease, viral infections, and mental health. Finally, we discuss current obstacles to the clinical implementation of wearables and provide perspectives on their potential to deliver increasingly personalized proactive health care across a wide variety of conditions.