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Biology subjects

Glenn, J.

Publications and source records attributed to Glenn, J..

5 recordsLinked to original sources

The Plasma Membrane may Serve as a Drug Depot to Drive the Extreme Potency of Fentanyl

Fentanyl is a leading cause of drug overdose deaths in the United States, yet the mechanisms underlying its extreme in vivo potency remain poorly understood. Recently, new synthetic opioids nitazene derivatives have emerged, among which isotonitazene is 50 times more potent than fentanyl. Here we used state-of-the-art molecular dynamics (MD) simulations and experiments to investigate the membrane-dependent pharmacology of fentanyl, isotonitazene, morphine, and naloxone. Using the weighted-ensemble continuous constant pH MD, we estimated the effective permeability of fentanyl at pH 7.5 to be on the order of 10-7 cm/s, which is about two orders of magnitude faster than the simulation estimate for morphine. In contrast, isotonitazene and naloxone effectively do not partition into the membrane under the same conditions. The simulations captured the protoncoupled permeation processes, challenging as well as refining the long-standing pH-partition hypothesis. Subsequent BRET reporter cell experiments demonstrated that cells exposed to fentanyl, but not morphine, reactivated the receptor after washout and in competition with naloxone. Immobilized affinity membrane chromatography confirmed fentanyls high affinity for phospholipids. Our findings strongly support the hypothesis that fentanyls extreme in vivo potency may be driven by its accumulation within the plasma membrane or intracellularly, enabling it to repartition into the extracellular space to rebind the receptor, or potentially access it via a lipid-mediated route. This highlights the importance of membrane-dependent pharmacology for understanding opioid toxicity and guiding the design of more effective antagonists. Our simulation methodology enables accurate prediction and analysis of membrane permeation of ionizable molecules, providing a valuable tool for ADME optimization in drug development.

biophysics↗

Impact of the elderly lung mucosa on Mycobacterium tuberculosis metabolic adaptation during infection of alveolar epithelial cells

BackgroundTuberculosis (TB) is one of the top leading causes of death due to a single infectious agent. Upon infection, Mycobacterium tuberculosis (M.tb) is deposited in the alveoli and encounters the lung mucosa or alveolar lining fluid (ALF). We previously determined that increased M.tb replication in human macrophages and alveolar epithelial cells (ATs) is mediated by age-associated changes in human ALF. Here we determine the transcriptional profile of M.tb when exposed to healthy ALF from adult (A-ALF) or elderly (E-ALF) individuals before and during infection of ATs. ResultsPrior to infection, exposure to E-ALF upregulates M.tb genes associated with the ESX-4 secretion system, immunomodulatory proteins from the ESX-5 system, and genes encoding phospholipases, phosphatases, and proteases. During infection, E-ALF exposure upregulates key M.tb genes from the ESX-5 secretion system, genes associated with PDIMs biosynthesis and transport, and genes linked to bacterial oxidative stress defense mechanisms. ConclusionsThese findings demonstrate how altered ALF in old age can impact the metabolic status of M.tb, enabling greater adaptation to the host and potentially explaining Mtbs increased survival within host cells. Importantly, we present the first transcriptomic analysis on the impact of the elderly lung mucosa on M.tb pathogenesis during intracellular replication in ATs.

microbiology↗

Key phosphorylation sites for robust β-arrestin2 binding at the mu-opioid receptor revisited

O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=40 SRC="FIGDIR/small/570073v1_ufig1.gif" ALT="Figure 1"> View larger version (13K): org.highwire.dtl.DTLVardef@198d7f5org.highwire.dtl.DTLVardef@18a3d9forg.highwire.dtl.DTLVardef@d3c9e8org.highwire.dtl.DTLVardef@6ca5f2_HPS_FORMAT_FIGEXP M_FIG C_FIG Desensitisation of the mu-opioid receptor (MOR) is proposed to underlie the initiation of opioid analgesic tolerance and previous work has shown that agonist-induced phosphorylation of the MOR C-tail contributes to this desensitisation. Moreover, we and others have shown that phosphorylation is important for {beta}-arrestin recruitment to the receptor, and that ligands of different efficacies induce distinct patterns, or barcodes, of receptor phosphorylation. Within the MOR C-tail, the 370TREHPSTANT379 motif harbours Ser/Thr residues important for these regulatory functions. 375Ser acts as a primary phosphorylation site of a ligand-dependent, hierarchical, and sequential process, whereby flanking 370Thr, 376Thr and 379Thr residues can get subsequently phosphorylated. Here we used HEK293 GRK KO cells, in combination with phosphosite specific antibodies and site-directed mutagenesis of the MOR, to evaluate the contribution of the different GRK subfamilies to ligand-induced phosphorylation barcodes and {beta}-arrestin2 recruitment. We show that both GRK subfamilies (GRK2/3 and GRK5/6) promote phosphorylation of Thr370 and Ser375. However, only GRK2/3 induce phosphorylation of Thr376 and Thr379, which is required to promote robust {beta}-arrestin recruitment to the receptor. Moreover, while DAMGO and fentanyl can engage all kinases to promote Thr370 and Ser375 phosphorylation, under endogenous GRK expression conditions, morphine-induced phosphorylation of these residues is specifically mediated by GRK5/6. These data provide insight into the mechanisms of MOR regulation and suggest that the cellular complement of the different GRK subfamilies plays an important role in determining the tissue responses of distinct opioid agonists.

pharmacology and toxicology↗

Genetic characterization of a captive marmoset colony using genotype-by-sequencing

The marmoset is a fundamental non-human primate model for the study of aging, neurobiology, and many other topics. Genetic management of captive marmoset colonies is complicated by frequent chimerism in the blood and other tissues, a lack of tools to enable cost-effective, genome-wide interrogation of variation, and historic mergers and migrations of animals between colonies. We implemented genotype-by-sequencing (GBS) of hair follicle derived DNA (a minimally chimeric DNA source) of 82 marmosets housed at the Southwest National Primate Research Center (SNPRC). Our primary goals were the genetic characterization of our marmoset population for pedigree verification and colony management and to inform the scientific community of the functional genetic makeup of this valuable resource. We used the GBS data to reconstruct the genetic legacy of recent mergers between colonies, to identify genetically related animals whose relationships were previously unknown due to incomplete pedigree information, and to show that animals in the SNPRC colony appear to exhibit low levels of inbreeding. Of the >99,000 single-nucleotide variants (SNVs) that we characterized, >9,800 are located within gene regions known to harbor pathogenic variants of clinical significance in humans. Overall, we show the combination of low-resolution (sparse) genotyping using hair follicle DNA is a powerful strategy for the genetic management of captive marmoset colonies and for identifying potential SNVs for the development of biomedical research models.

genetics↗

Integrated Omics Analysis Reveals Sirtuin Signaling is Central to Hepatic Response to a High Fructose Diet

BackgroundDietary high fructose (HFr) is a known metabolic disruptor contributing to development of obesity and diabetes in Western societies. Initial molecular changes from exposure to HFr on liver metabolism may be essential to understand the perturbations leading to insulin resistance and abnormalities in lipid and carbohydrate metabolism. We studied vervet monkeys (Clorocebus aethiops sabaeus) fed a HFr (n=5) or chow diet (n=5) for 6 weeks, and obtained clinical measures of liver function, blood insulin, cholesterol and triglycerides. In addition, we performed untargeted global transcriptomics, proteomics, and metabolomics analyses on liver biopsies to determine the molecular impact of a HFr diet on coordinated pathways and networks that differed by diet. ResultsWe show that integration of omics data sets improved statistical significance for some pathways and networks, and decreased significance for others, suggesting that multiple omics datasets enhance confidence in relevant pathway and network identification. Specifically, we found that sirtuin signaling and a peroxisome proliferator activated receptor alpha (PPARA) regulatory network were significantly altered in hepatic response to HFr. Integration of metabolomics and miRNAs data further strengthened our findings. ConclusionsOur integrated analysis of three types of omics data with pathway and regulatory network analysis demonstrates the usefulness of this approach for discovery of molecular networks central to a biological response. In addition, metabolites aspartic acid and docosahexaenoic acid (DHA), protein ATG3, and genes ATG7, HMGCS2 link sirtuin signaling and the PPARA network suggesting molecular mechanisms for altered hepatic gluconeogenesis from consumption of a HFr diet.

systems biology↗