An Engineered Nanosugar Enables Rapid and Sustained Glucose-Responsive Insulin Delivery in Diabetic Mice.

Glucose-responsive insulin-delivery platforms that are sensitive to dynamic glucose concentration fluctuations and provide both rapid and prolonged insulin release have great potential to control hyperglycemia and avoid hypoglycemia diabetes. Here, biodegradable and charge-switchable phytoglycogen nanoparticles capable of glucose-stimulated insulin release are engineered. The nanoparticles are "nanosugars" bearing glucose-sensitive phenylboronic acid groups and amine moieties that allow effective complexation with insulin (≈95% loading capacity) to form nanocomplexes. A single subcutaneous injection of nanocomplexes shows a rapid and efficient response to a glucose challenge in two distinct diabetic mouse models, resulting in optimal blood glucose levels (below 200 mg dL-1 ) for up to 13 h. The morphology of the nanocomplexes is found to be key to controlling rapid and extended glucose-regulated insulin delivery in vivo. These studies reveal that the injected nanocomplexes enabled efficient insulin release in the mouse, with optimal bioavailability, pharmacokinetics, and safety profiles. These results highlight a promising strategy for the development of a glucose-responsive insulin delivery system based on a natural and biodegradable nanosugar.

Oligomerization, albumin binding and catabolism of therapeutic peptides in the subcutaneous compartment: An investigation on lipidated GLP-1 analogs.

Lipidation, a common strategy to improve half-life of therapeutic peptides, affects their tendency to oligomerize, their interaction with plasmatic proteins, and their catabolism. In this work, we have leveraged the use of NMR and SPR spectroscopy to elucidate oligomerization propensity and albumin interaction of different analogs of the two marketed lipidated GLP-1 agonists liraglutide and semaglutide. As most lipidated therapeutic peptides are administered by subcutaneous injection, we have also assessed in vitro their catabolism in the SC tissue using the LC-HRMS-based SCiMetPep assay. We observed that oligomerization had a shielding effect against catabolism. At the same time, binding to albumin may provide only limited protection from proteolysis due to the higher unbound peptide fraction present in the subcutaneous compartment with respect to the plasma. Finally, identification of catabolites in rat plasma after SC dosing of semaglutide showed a good correlation with the in vitro data, with Tyr19-Leu20 being the major cleavage site. Early characterization of the complex interplay between oligomerization, albumin binding, and catabolism at the injection site is essential for the synthesis of lipidated peptides with good pharmacokinetic profiles.

A Pilot Study on the 1H-NMR Serum Metabolic Profile of Takotsubo Patients Reveals Systemic Response to Oxidative Stress.

Takotsubo syndrome (TTS) presents as an acute coronary syndrome characterized by severe left ventricular (LV) dysfunction and non-obstructive coronary artery disease that typically shows spontaneous recovery within days or weeks. The mechanisms behind TTS are mainly related to beta-adrenergic overstimulation and acute endogenous catecholamine surge, both of which could increase oxidative status that may induce further deterioration of cardiac function. Although several studies reported evidence of inflammation and oxidative stress overload in myocardial tissue of TTS models, systemic biochemical evidence of augmented oxidant activity in patients with TTS is lacking. In this study, serum samples of ten TTS patients and ten controls have been analyzed using 1H-NMR spectroscopy. The results of this pilot study show a marked alteration in the systemic metabolic profile of TTS patients, mainly characterized by significant elevation of ketone bodies, 2-hydroxybutyrate, acetyl-L-carnitine, and glutamate levels, in contrast with a decrease of several amino acid levels. The overall metabolic fingerprint reflects a systemic response to oxidative stress caused by the stressor that triggered the syndrome's onset.

Personalized Metabolic Profile by Synergic Use of NMR and HRMS.

A new strategy that takes advantage of the synergism between NMR and UHPLC-HRMS yields accurate concentrations of a high number of compounds in biofluids to delineate a personalized metabolic profile (SYNHMET). Metabolite identification and quantification by this method result in a higher accuracy compared to the use of the two techniques separately, even in urine, one of the most challenging biofluids to characterize due to its complexity and variability. We quantified a total of 165 metabolites in the urine of healthy subjects, patients with chronic cystitis, and patients with bladder cancer, with a minimum number of missing values. This result was achieved without the use of analytical standards and calibration curves. A patient's personalized profile can be mapped out from the final dataset's concentrations by comparing them with known normal ranges. This detailed picture has potential applications in clinical practice to monitor a patient's health status and disease progression.

Comparison of different protein precipitation and solid-phase extraction protocols for the study of the catabolism of peptide drugs by LC-HRMS.

LC-HRMS-based identification of the products of peptide catabolism is the key to drive the design of more stable compounds. Because the catabolite of a given peptide can be very different from the parent compound and from other catabolites in terms of physicochemical properties, it can be challenging to develop an analytical method that allows recovery and detection of the parent and all parent-related catabolites. The aim of this study was to investigate how the recovery and the matrix effect of peptidic drugs and their catabolites are affected by different protein precipitation (PP) and solid-phase extraction (SPE) protocols. To this purpose, four model peptides representative of different classes (somatostatin, GLP-2, human insulin and liraglutide) were digested with trypsin and chymotrypsin to simulate proteolytic catabolism. The resulting mixtures of the parent peptides and their proteolytic products covering a wide range of relative hydrophobicity (HR ) and isoelectric points (pI) were spiked in human plasma and underwent different PP and SPE protocols. Recovery and matrix effect were measured for each peptide and its catabolites. PP with three volumes of ACN or EtOH yielded the highest overall recoveries (more than 50% for the four parent peptides and all their catabolites) among all the tested PP and SPE protocols. Mixed-mode anion exchange (MAX) was the only SPE sorbent among the five tested that allowed to extract all the peptides with recoveries more than 20%. Matrix effect was generally lower with SPE. Overall, it was observed that peptides with either high hydrophilicity (e.g., somatostatin catabolites) or hydrophobicity (GLP-2 and lipidated liraglutide catabolites) had a much narrower choice of PP solvent or SPE protocol. Simulation of catabolism using recombinant enzymes together with in silico calculation of the HR and the pI of potential proteolysis products is recommended to select the optimal extraction conditions for the study of peptide catabolism.