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The construction and assembly of artificial allosteric protein switches into information and energy processing networks connected to both biological and non-biological systems is a central goal of synthetic biology and bionanotechnology. However, designing protein switches with the desired input, output and performance parameters is challenging. Here we use a range of reporter proteins to demonstrate that their chimeras with duplicated receptor domains produce YES gate protein switches with large (up to 9,000-fold) dynamic ranges and fast (minutes) response rates. In such switches, the epistatic interactions between largely independent synthetic allosteric sites result in an OFF state with minimal background noise. We used YES gate protein switches based on β-lactamase to develop quantitative biosensors of therapeutic drugs and protein biomarkers. Furthermore, we demonstrated the reconfiguration of YES gate switches into AND gate switches controlled by two different inputs, and their assembly into signalling networks regulated at multiple nodes.

Allosteric protein switches are key controllers of information and energy processing in living organisms and are desirable engineered control tools in synthetic systems. Here we present a generally applicable strategy for construction of allosteric signaling systems with inputs and outputs of choice. We demonstrate conversion of constitutively active enzymes into peptide-operated synthetic allosteric ON switches by insertion of a calmodulin domain into rationally selected sites. Switches based on EGFP, glucose dehydrogenase, NanoLuciferase, and dehydrofolate reductase required minimal optimization and demonstrated a dynamic response ranging from 1.8-fold in the former case to over 200-fold in the latter case. The peptidic nature of the calmodulin ligand enables incorporation of such synthetic switch modules into higher order sensory architectures. Here, a ligand-mediated increase in proximity of the allosteric switch and the engineered activator peptide modulates biosensor’s activity. Created biosensors were used to measure concentrations of clinically relevant drugs and biomarkers in plasma, saliva, and urine with accuracy comparable to that of the currently used clinical diagnostic assays. The approach presented is generalizable as it allows rapid construction of efficient protein switches that convert binding of a broad range of analytes into a biochemical activity of choice enabling construction of artificial signaling and metabolic circuits of potentially unlimited complexity.

Current threshold values for primary aldosteronism (PA) diagnostic testing are based on measuring aldosterone (PAC) using immunoassays. Quantification of PAC by liquid chromatography-tandem mass spectrometry (LC-MS/MS) yields lower values.

Objective:To report the difficulty in achieving and maintaining target antibiotic exposure in critically ill patients with deep-seeded infections. Case Summary:We present a case of a 36-year-old man who was admitted to the intensive care unit with diffuse central nervous system and peripheral methicillin-sensitive Staphylococcus aureusinfection (minimum inhibitory concentration; MIC, 1 µg/mL). Owing to the complicated nature of the infection, sequential concentrations of free flucloxacillin were measured in plasma and cerebrospinal fluid (CSF) and used to direct antibiotic dosing. Unsurprisingly, the trough plasma concentrations of flucloxacillin were below the MIC (0.2-0.4 µg/mL), and the corresponding CSF concentrations were undetectable (<0.1 µg/mL) with standard intermittent bolus dosing of 2 g every 4 hours. By administering flucloxacillin by continuous infusion (CI) and increasing the dose to 20 g daily, the plasma (2.2-5.7 µg/mL) and CSF (0.1 µg/mL) levels were increased, albeit lower than the predefined targets (plasma, 40 µg/mL; CSF, 4 µg/mL). Discussion:The presence of physiological changes associated with critical illness—namely, hypoalbuminemia and augmented renal clearance—may significantly alter antibiotic pharmacokinetics, and this phenomenon may lead to suboptimal antibiotic exposure if they are not accounted for. This case also highlights the value of applying CI in such patient groups and demonstrates the significance of monitoring plasma and CSF drug concentrations in optimizing antibiotic delivery. Conclusions:Future research should aim to evaluate the utility of such drug monitoring with regard to patient outcomes and cost-effectiveness.

Despite significant interindividual variability in prednisolone pharmacokinetics and potentially serious consequences with inadequate or excessive exposure, monitoring of prednisolone levels is not employed to guide therapy. As ultrahigh-performance liquid chromatography–tandem mass spectrometry methods can now measure the active free fraction of prednisolone, this study aimed to evaluate the performance of 15 published limited sampling strategies (LSSs) for predicting free prednisolone exposure in adult kidney transplant recipients and to examine the relationship between freetotal prednisolone exposure and plasma glucose.

Soluble CD30 (sCD30) has been associated with rejection and graft loss in kidney transplantation, leading to the suggestion that sCD30 might be a useful biomarker to adjust immunosuppressant medication dosing. However, there has been minimal study of the influence of individual immunosuppressive drugs on sCD30 levels.

Pregnane X, encoded by the gene NR112, is a nuclear receptor whose primary role is to promote the detoxification and clearance of drugs and other foreign compounds from the body.