Glucosylation of (±)-Menthol by Uridine-Diphosphate-Sugar Dependent Glucosyltransferases from Plants

Menthol is a cyclic monoterpene alcohol of the essential oils of plants of the genus Mentha, which is in demand by various industries due to its diverse sensorial and physiological properties. However, its poor water solubility and its toxic effect limit possible applications. Glycosylation offers a solution as the binding of a sugar residue to small molecules increases their water solubility and stability, renders aroma components odorless and modifies bioactivity. In order to identify plant enzymes that catalyze this reaction, a glycosyltransferase library containing 57 uridine diphosphate sugar-dependent enzymes (UGTs) was screened with (±)-menthol. The identity of the products was confirmed by mass spectrometry and nuclear magnetic resonance spectroscopy. Five enzymes were able to form (±)-menthyl-β-d-glucopyranoside in whole-cell biotransformations: UGT93Y1, UGT93Y2, UGT85K11, UGT72B27 and UGT73B24. In vitro enzyme activity assays revealed highest catalytic activity for UGT93Y1 (7.6 nkat/mg) from Camellia sinensis towards menthol and its isomeric forms. Although UGT93Y2 shares 70% sequence identity with UGT93Y1, it was less efficient. Of the five enzymes, UGT93Y1 stood out because of its high in vivo and in vitro biotransformation rate. The identification of novel menthol glycosyltransferases from the tea plant opens new perspectives for the biotechnological production of menthyl glucoside.     

Lithium intercalation/deintercalation in transition metal oxides investigated by X-ray photoelectron spectroscopy

X-ray photoelectron spectroscopy has been used to investigate the lithium deintercalation and the lithium intercalation processes, respectively, in LiCoO₂ and in MO₃ compounds (M=W, Mo). The changes occurring in metal and oxygen core-electron spectra as in valence spectra have been analysed. Beside an expected contribution of metal atoms in the oxidation/reduction processes for LiCoO₂ and LiMO₃ compounds, the results have provided informations on the open question of the implication of the anions in these processes.     

Bisphenol A Impairs Lipid Remodeling Accompanying Cell Differentiation in the Oligodendroglial Cell Line Oli-Neu

In the central nervous system, the process of myelination involves oligodendrocytes that wrap myelin around axons. Myelin sheaths are mainly composed of lipids and ensure efficient conduction of action potentials. Oligodendrocyte differentiation is an essential preliminary step to myelination which, in turn, is a key event of neurodevelopment. Bisphenol A (BPA), a ubiquitous endocrine disruptor, is suspected to disrupt this developmental process and may, thus, contribute to several neurodevelopmental disorders. In this study, we assessed the effect of BPA on oligodendrocyte differentiation through a comprehensive analysis of cell lipidome by UHPLC-HRMS. For this purpose, we exposed the oligodendroglial cell line Oli-neu to several BPA concentrations for 72 h of proliferation and another 72 h of differentiation. In unexposed cells, significant changes occurred in lipid distribution during Oli-neu differentiation, including an increase in characteristic myelin lipids, sulfatides, and ethanolamine plasmalogens, and a marked remodeling of phospholipid subclasses and fatty acid contents. Moreover, BPA induced a decrease in sulfatide and phosphatidylinositol plasmalogen contents and modified monounsaturated/polyunsaturated fatty acid relative contents in phospholipids. These effects counteracted the lipid remodeling accompanying differentiation and were confirmed by gene expression changes. Altogether, our results suggest that BPA disrupts lipid remodeling accompanying early oligodendrocyte differentiation.     

The Problem of Fairness in Synthetic Healthcare Data

Access to healthcare data such as electronic health records (EHR) is often restricted by laws established to protect patient privacy. These restrictions hinder the reproducibility of existing results based on private healthcare data and also limit new research. Synthetically-generated healthcare data solve this problem by preserving privacy and enabling researchers and policymakers to drive decisions and methods based on realistic data. Healthcare data can include information about multiple in- and out- patient visits of patients, making it a time-series dataset which is often influenced by protected attributes like age, gender, race etc. The COVID-19 pandemic has exacerbated health inequities, with certain subgroups experiencing poorer outcomes and less access to healthcare. To combat these inequities, synthetic data must “fairly” represent diverse minority subgroups such that the conclusions drawn on synthetic data are correct and the results can be generalized to real data. In this article, we develop two fairness metrics for synthetic data, and analyze all subgroups defined by protected attributes to analyze the bias in three published synthetic research datasets. These covariate-level disparity metrics revealed that synthetic data may not be representative at the univariate and multivariate subgroup-levels and thus, fairness should be addressed when developing data generation methods. We discuss the need for measuring fairness in synthetic healthcare data to enable the development of robust machine learning models to create more equitable synthetic healthcare datasets.     

Ab initio studies of conformational properties of dimethyl diphosphate dianion and its complex with magnesium

The conformational properties of the diphosphate linkage have been studied with ab initio methods using the dimethyl diphosphate dianion (1) and magnesium dimethyl diphosphate (2) as models. The ab initio energy and geometry of the conformers around the P-O bonds have been determined at the self-consistent-field (SCF) using the 6-31G* and the tzp basis sets; whereas, the 6-31G* basis set alone has been used for 2. In addition, the adiabatic connection method (ACM) of density functional theory (DFT) using the dzvp basis set has been employed for 1. The optimization of all possible staggered conformers assumed for the four P-O bonds, led to nine minima for 1. In agreement with the general anomeric effect, the sc conformation about the P-O bonds is clearly preferred over the ap one. Vibrational frequencies were calculated at the SCF level using the 6-31G* basis set and used to evaluate zero-point energies, thermal energies, and entropies for all minima of 1. The effect of zero-point energies and thermal energies is quite small. However, the effect of entropies, mainly resulting from a multiplicity contribution, changes the stability of the conformers. For each minimum of 1, up to six different arrangements of the Mg²⁺ were used to determine minima of 2. This procedure led to 21 distinct minima. The presence of the magnesium counter-ion appeared to completely change the structure and relative energy of the conformers. The preferred structures of the complex exhibit the (sc, ap) orientation around the two central P–O bonds and an arrangement in which the magnesium cation is coordinated by three phosphoryl oxygen atoms. The results of this work clearly demonstrate that interactions with the metal counter-ion can induce conformational changes in the overall 3D-shape adopted by molecules containing diphosphate linkages. The PM3 and MNDO quantum semi-empirical methods and molecular mechanics methods using the CVFF force field were tested and large differences in the minimum structures, as well as in the conformational energies between these and ab initio methods, are discussed.