Biology subjects

Shang, J.

Publications and source records attributed to Shang, J..

7 recordsLinked to original sources

bioRxiv2018

Structure-function analysis of 1-hydroxypioglitazone, a major in vivo metabolite of the PPARγ agonist pioglitazone

The thiazolidinedione (TZD) pioglitazone (Pio) is an FDA-approved drug for type 2 diabetes mellitus that binds and activates the nuclear receptor peroxisome proliferator-activated receptor gamma (PPAR{gamma}). Although TZDs have potent antidiabetic effects, they also display harmful side effects that have necessitated a better understanding of their mechanisms of action. In particular, little is known about the effect of in vivo TZD metabolites on the structure and function of PPAR{gamma}. Here, we present a structure-function comparison of Pio and a major in vivo metabolite, 1-hydroxypioglitazone (PioOH). PioOH displayed a lower binding affinity and reduced potency in coregulator recruitment assays compared to Pio. To determine the structural basis of these findings, we solved an X-ray crystal structure of PioOH bound to PPAR{gamma} ligand-binding domain (LBD) and compared it to a published Pio-bound crystal structure. PioOH exhibited an altered hydrogen bonding network that could underlie its reduced affinity and potency compared to Pio. Solution-state structural analysis using NMR spectroscopy and hydrogen/deuterium exchange mass spectrometry (HDX-MS) analysis revealed that PioOH stabilizes the PPAR{gamma} activation function-2 (AF-2) coactivator binding surface better than Pio. In support of AF-2 stabilization, PioOH displayed stabilized coactivator binding in biochemical assays and better transcriptional efficacy (maximal transactivation response) in a cell-based assay that reports on the activity of the PPAR{gamma} LBD. These results, which indicate that Pio hydroxylation affects both its potency and efficacy as a PPAR{gamma} agonist, contribute to our understanding of PPAR{gamma}-binding drug metabolite interactions and may assist in future PPAR{gamma} drug design efforts.

biochemistry↗

bioRxiv2018

Defining a canonical ligand-binding pocket in the orphan nuclear receptor Nurr1

Nuclear receptor related 1 protein (Nurr1/NR4A2) is an orphan nuclear receptor that is considered to function without a canonical ligand-binding pocket. A crystal structure of the Nurr1 ligand-binding domain (LBD) revealed no physical space in the conserved region where other nuclear receptors with solvent accessible apo-protein ligand-binding pockets bind synthetic and natural ligands. Using solution NMR spectroscopy, hydrogen/deuterium exchange mass spectrometry, and molecular dynamics simulations, we show here that the putative canonical ligand-binding pocket in the Nurr1 LBD is dynamic with high solvent accessibility, exchanges between two or more conformations on the microsecond-to-millisecond timescale, and can expand from the collapsed crystalized conformation to allow binding of unsaturated fatty acids. These findings should stimulate future studies to probe the ligandability and druggability of Nurr1 for both endogenous and synthetic ligands, which could lead to new therapeutics for Nurr1-related diseases, including Parkinsons disease and schizophrenia.

biophysics↗

bioRxiv2018

Taxonomic Profiling and Populational Patterns of Bacterial Bile Salt Hydrolase (BSH) Genes on Worldwide Human Gut Microbiome

Bile salt hydrolase (BSH) in gut bacteria can hydrolyze conjugated bile salts to unconjugated bile acids and amino acids. Thereby play a crucially important role in host health by reducing serum cholesterol levels, preserving bile acids balance and regulating various metabolism as signaling molecules. Here we present the taxonomic identification of BSHs in human microbiota and elucidate the abundance and activity differences of various bacterial BSHs among 11 different populations. For the first time, we have revealed BSH are distributed in 154 intestinal bacterial strains within 33 genera in human microbiota. However, these BSHs present obviously differentiation for the sequence identity being from 28.6% to 100%, and the 32.7% bacteria strains having more than one paralogs of BSHs with dissimilarity. Therefore, we reclassified the BSHs from the different genera into 6 phylotypes basing on their phylogenetic tree, and demonstrate the significant abundance patterns of BSH phylotypes among different populations. From the enzyme activity comparison, the representative sequence of BSH-T3 was shown highest enzyme activity in 6 phylotypes. Meanwhile, BSH-T3 sequences which all distributed in Lactobacillus show highest abundance in Chinese and Austrian. The information illustrated by this study is useful for investigating the population differences of bile acid metabolism related diseases, and further giving a new suggestion on selection of probiotics or development of pharmaceutical proteins based upon the activity of BSH phylotypes to regulate host metabolism and maintain fitness.

genomics↗

bioRxiv2018

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

MotivationState-of-the-art biomedical named entity recognition (BioNER) systems often require handcrafted features specific to each entity type, such as genes, chemicals and diseases. Although recent studies explored using neural network models for BioNER to free experts from manual feature engineering, the performance remains limited by the available training data for each entity type.\n\nResultsWe propose a multi-task learning framework for BioNER to collectively use the training data of different types of entities and improve the performance on each of them. In experiments on 15 benchmark BioNER datasets, our multi-task model achieves substantially better performance compared with state-of-the-art BioNER systems and baseline neural sequence labeling models. Further analysis shows that the large performance gains come from sharing character- and word-level information among relevant biomedical entities across differently labeled corpora.\n\nAvailabilityOur source code is available at https://github.com/yuzhimanhua/lm-lstm-crf.\n\nContactxwang174@illinois.edu, xiangren@usc.edu.

bioinformatics↗

bioRxiv2018

Coincident binding of synthetic and natural ligands to the nuclear receptor PPARγ

Crystal structures of peroxisome proliferator-activated receptor gamma (PPAR{gamma}) have revealed overlapping binding modes for synthetic and natural/endogenous ligands, indicating competition for the orthosteric pocket. Here we show that cobinding of a synthetic ligand to the orthosteric pocket can push natural and endogenous PPAR{gamma} ligands (fatty acids) out of the orthosteric pocket towards an alternate ligand-binding site near the functionally important omega ({Omega}) loop. X-ray crystallography, NMR spectroscopy, all-atom molecular dynamics simulations, and mutagenesis coupled to quantitative functional assays reveal that synthetic ligand and fatty acid cobinding can form a \"ligand link\" to the {Omega} loop and synergistically affect the structure and function of PPAR{gamma}. These findings contribute to a growing body of evidence indicating ligand binding to nuclear receptors can be more complex than the classical one-for-one orthosteric exchange of a natural or endogenous ligand with a synthetic ligand.

biochemistry↗

bioRxiv2018

A structural mechanism for directing inverse agonism of PPARγ

Small chemical modifications can have significant effects on ligand efficacy and receptor activity, but the underlying structural mechanisms can be difficult to predict from static crystal structures alone. Here we show how a simple phenyl-to-pyridyl substitution between two common covalent orthosteric ligands targeting peroxisome proliferator-activated receptor gamma (PPAR{gamma}) converts a transcriptionally neutral antagonist (GW9662) into an inverse agonist (T0070907). X-ray crystallography, molecular dynamics simulations, and mutagenesis coupled to activity assays reveal a water-mediated hydrogen bond network linking the T0070907 pyridyl group to Arg288 that is essential for inverse agonism. NMR spectroscopy reveals that PPAR{gamma} exchanges between two long-lived conformations when bound to T0070907 but not GW9662, including a conformation that prepopulates a corepressor-bound state, priming PPAR{gamma} for high affinity corepressor binding. Our findings demonstrate that ligand engagement of Arg288 may provide new routes for developing PPAR{gamma} inverse agonist.

biochemistry↗

bioRxiv2017

IFNα, a potential biomarker for stress vitiligo risk

Neural hypothesis has become an important aspect of vitiligo, yet without corresponding diagnostic indicators. We preliminarily found 32 cases of vitiligo patients with certain aggregation of mental factors. In peripheral blood mononuclear cells (PBMCs) of these patients, transcriptome analyses revealed that the circulation expression of a type I interferon (IFN-I)-dependent genes was induced. Also, serum IFN was elevated in vitiligo patients with depression. Therefore, our hypothesis is whether IFN levels predict the occurrence of psychiatric vitiligo. Through the establishment of stress-induced depigmentation model, serum IFN also showed increase. Intracerebroventricular and subcutaneous IFN injection can both elicit not only depressive behavior but also vitiligo-like characteristics. Mechanistically, central IFN induces the release of dorsal root ganglion (DRG) substance P (SP) to inhibit melanogenesis. Peripheral IFN disturbs cutaneous-neuro-endocrine microenvironment. Type I IFN (IFN) pathway-related genes in stress vitiligo were significantly discriminating from non-stress vitiligo, while that of type II IFN pathway was not.

physiology↗