Discovery of a Potent Proteolysis Targeting Chimera Enables Targeting the Scaffolding Functions of FK506-Binding Protein 51 (FKBP51).

The FK506-binding protein 51 (FKBP51) is a promising target in a variety of disorders including depression, chronic pain, and obesity. Previous FKBP51-targeting strategies were restricted to occupation of the FK506-binding site, which does not affect core functions of FKBP51. Here, we report the discovery of the first FKBP51 proteolysis targeting chimera (PROTAC) that enables degradation of FKBP51 abolishing its scaffolding function. Initial synthesis of 220 FKBP-focused PROTACs yielded a plethora of active PROTACs for FKBP12, six for FKBP51, and none for FKBP52. Structural analysis of a binary FKBP12:PROTAC complex revealed the molecular basis for negative cooperativity. Linker-based optimization of first generation FKBP51 PROTACs led to the PROTAC SelDeg51 with improved cellular activity, selectivity, and high cooperativity. The structure of the ternary FKBP51:SelDeg51:VCB complex revealed how SelDeg51 establishes cooperativity by dimerizing FKBP51 and the von Hippel-Lindau protein (VHL) in a glue-like fashion. SelDeg51 efficiently depletes FKBP51 and reactivates glucocorticoid receptor (GR)-signalling, highlighting the enhanced efficacy of full protein degradation compared to classical FKBP51 binding.

Online Extraction Followed by LC-MS/MS Analysis of Lipids in Natural Samples: A Proof-of-Concept Profiling Lecithin in Seeds.

Sample preparation is usually a complex and time-consuming procedure, which can directly affect the quality of the analysis. Recent efforts have been made to establish analytical methods involving minimal sample preparation, automatized and performed online with the analytical techniques. Online Extraction coupled with Liquid Chromatography-Mass Spectrometry (OLE-LC-MS) allows a fully connected extraction, separation, and analysis system. In this work, the lecithin profile was investigated in commercial sunflower, almonds, peanuts, and pistachio seeds to demonstrate that the concept of extraction, followed by the online analysis of the extract, could be applied to analyze this class of analytes in such complex solid matrices without a prior off-line solvent extraction step. The extraction phase gradient method was optimized. Two different analytical columns were explored, one being a conventional C18 (50 × 2.1 mm, 1.7 µm SPP) and the other a novel self-packed SIGO-C18ec (100 × 0.5, 5 µm FPP), which resulted in better separation. The analysis repeatability was investigated, and suggestions to improve it were pointed out. A characteristic ion with a m/z of 184, related to lysophosphatidylcholine structure, was used to identify the lecithin compounds. The temperature effect on the chromatograms was also explored. In short, it was found that the OLE-LC-MS approach is suitable for the analysis of lecithin compounds in seeds, being a promising alternative for lipidomics approaches in the near future.

Investigation of the applicability of silica-graphene hybrid materials as stationary phases for capillary liquid chromatography.

Graphene and graphene-derived substances are cutting-edge materials receiving increasing attention in the analytical chemistry field. Graphene oxide sheets bonded to amino silica particles functionalized with octadecyl (C18) groups and endcapped, also known as SiGO-C18ec, have been successfully employed as extraction phases and in analytical columns associated with conventional liquid chromatography (LC). In this work, SiGO-C18ec particles of 3, 5, and 10 µm nominal id were employed to pack capillary LC columns (100 mm long x 0.3 mm id), and their performance in the gradient mode was evaluated and compared. A 3 µm C18 capillary LC column (50 x 0.3 mm) was used as a reference column. Eight analytes having different polarities and topological surface areas were selected as a probe in this study: carbofuran clomazone, hexazinone, carbamazepine, citalopram, clomipramine, desipramine, and ochratoxin A. Studies about orthogonality were performed to investigate the orthogonality between the SiGO-C18ec and C18 phases. Among the SiGO-C18ec phases investigated, the column packed with 5 µm SiGO-C18ec particles presented the best peak capacity (29) in 15 min. Additionally, the performance of the columns packed with 5 µm SiGO-C18ec particles overcame the performance of the C18 columns used. Significant orthogonality was found between C18 and SiGO-C18ec packed columns; however, no significant differences were found between columns packed with SiGO-C18ec particles of different diameters.

Environmentally friendly analysis of sulphonamides in Brazilian honey through automated and miniaturised sample preparation coupled with LC-MS/MS.

Increased use of environmentally friendly practices has become a trend in science because of the current awareness regarding climate change and related issues. Similarly for analytical chemistry, considering the development of greener methods for reducing the use of reagents and samples and also toxic waste generation. To meet such goals, automation, and miniaturisation of sample preparation-a well-recognised laborious and time-consuming analytical step-are two promising strategies. This work associates the greener aspects of miniaturisation and the performance of automated sample preparation. Therefore, we proposed an analytical method using a miniaturised extraction column for pre-concentrating sulphamerazine, sulphamethazine, sulphamethoxazole, sulphadimethoxine, sulphathiazole, and sulphachlorpyridazine from honey and cleaning-up the samples. Several variables were optimised: extractive phase, loading flow, loading phase, and loading time. Under optimised conditions, the method showed adequate linearity between 5.0 and 60 ng g-1 with R > 0.99, and also good selectivity and recovery (114.6-124.1%) which are acceptable according to Brazilian legislation. Intra and inter-day precision were in the range 3.0-5.0%. Although sulphonamides were detected in one of the eight commercial honey samples, the value was below the established MRL. The method showed efficiency, while also exhibiting greener characteristics resulting from miniaturisation and automation, representing a promising environmentally friendly alternative for conventional sample preparation methods.