Liver X receptors (Lxrα and Lxrβ) are ligand-dependent nuclear receptors critical for ventral midbrain neurogenesis in vivo. However, no endogenous midbrain Lxr ligand has so far been identified. Here we used LC/MS and functional assays to identify cholic acid as a new Lxr ligand. Moreover, 24(S),25-epoxycholesterol (24,25-EC) was found to be the most potent and abundant Lxr ligand in the developing mouse midbrain. Both Lxr ligands promoted neural development in an Lxr-dependent manner in zebrafish in vivo. Notably, each ligand selectively regulated the development of distinct midbrain neuronal populations. Whereas cholic acid increased survival and neurogenesis of Brn3a-positive red nucleus neurons, 24,25-EC promoted dopaminergic neurogenesis. These results identify an entirely new class of highly selective and cell type-specific regulators of neurogenesis and neuronal survival. Moreover, 24,25-EC promoted dopaminergic differentiation of embryonic stem cells, suggesting that Lxr ligands may thus contribute to the development of cell replacement and regenerative therapies for Parkinson's disease.
Ozone-induced dissociation (OzID) is a novel ion activation technology that exploits the gas-phase reaction between mass-selected ions and ozone inside a mass spectrometer to assign sites of unsaturation in complex lipids. Since it was first demonstrated [ Thomas et al. Anal. Chem. 2008 , 80 , 303 ], the method has been widely deployed for targeted lipid structure elucidation but its application to high throughput and liquid chromatography-based workflows has been limited due to the relatively slow nature of the requisite ion-molecule reactions that result in long ion-trapping times and consequently low instrument duty cycle. Here, the implementation of OzID in a high-pressure region, the ion-mobility spectrometry cell, of a contemporary quadrupole time-of-flight mass spectrometer is described. In this configuration, a high number density of ozone was achieved and thus abundant and diagnostic OzID product ions could be observed even on the timescale of transmission through the reaction region (ca. 20-200 ms), representing a 50-1000-fold improvement in performance over prior OzID implementations. Collisional activation applied prereaction was found to yield complementary and structurally informative product ions arising from ozone- and collision-induced dissociation. Ultimately, the compatibility of this implementation with contemporary ultrahigh performance liquid chromatography is demonstrated with the resulting hyphenated approach showing the ability to separate and uniquely identify isomeric phosphatidylcholines that differ only in their position(s) of unsaturation.
Drug metabolism is an integral part of the drug development and drug discovery process. It is required to validate the toxicity of metabolites in support of safety testing and in particular provide information on the potential to form pharmacologically active or toxic metabolites. The current methodologies of choice for metabolite structural elucidation are liquid chromatography/tandem mass spectrometry (LC/MS/MS) and nuclear magnetic resonance (NMR) spectroscopy. There are, in certain cases, examples of metabolites whose sites of metabolism cannot be unequivocally identified by MS/MS alone. Utilising commercially available molecular dynamics packages and known quantum chemistry basis sets, an ensemble of lowest energy structures were generated for a group of aromatic hydroxylated metabolites of the model compound ondansetron. Theoretical collision cross-sections were calculated for each structure. Travelling-wave ion mobility (IMS) measurements were also performed on the compounds, thus enabling experimentally derived collision cross-sections to be calculated. A comparison of the theoretical and experimentally derived collision cross-sections were utilised for the accurate assignment of isomeric drug metabolites. The UPLC/IMS-MS method, described herein, demonstrates the ability to measure reproducibly by ion mobility, metabolite structural isomers, which differ in collision cross-section, both theoretical and experimentally derived, by less than 1 Å(2). This application has the potential to supplement and/or complement current methods of metabolite structural characterisation.
Seven androgenic steroids have been converted into steroid hydrazones using Girard P hydrazine and analysed by electrospray ionisation multistage tandem mass spectrometry. The cationic derivatives 17alpha-testosterone hydrazone, 17beta-nortestosterone hydrazone, 17beta-bolasterone hydrazone, 17alpha-boldenone hydrazone, 17beta-fluoxymesterone hydrazone, 17alpha-trenbolone hydrazone and 4-chloroandrosten-3,17-dione hydrazone show good response in positive ion mode with enhancements for the method of up to 33 times relative to the native species. Detailed characterisation of fragmentation pathways reveals structurally specific ions formed by fragmentation of the hydrazine moiety. Comparison of structural similarities among the androgenic steroids allows recognition of common ions/fragmentation processes as well as analyte-specific transitions. The suitability of the derivatisation approach in the screening of heifer urine for the presence of administered hormones has been demonstrated using partially purified urine spiked with a mixture of androgenic steroids.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.