Protein-coupled Receptor Activation Research Articles

Integrated UPLC-MS, network pharmacology, and intestinal flora analysis to determine the treatment effect of Qiangzhi decoction on comorbid Tourette syndrome and RRTI.

Tourette syndrome (TS) is a complex neurodevelopmental disorder characterized by vocal and motor tics. Recurrent respiratory tract infection (RRTI), a commonly occurring disease in childhood, correlates with recurrent and severe course of tic symptoms. Qiangzhi decoction (QZD) is a traditional Chinese medicine that can alleviate TS symptoms while reducing the recurrence of RRTI. However, the mechanism of QZD on TS and RRTI remains unclear. This study aimed to determine the treatment effect of QZD on comorbid TS and RRTI by integrating ultrahigh-performance liquid chromatography mass spectrometry (UPLC-MS), network pharmacology, and intestinal flora analysis. The components of QZD were first identified by UPLC-quadrupole (Q)-orbitrap-MS/MS. The mechanism of QZD on comorbid RRTI and TS was investigated by a series of network pharmacological methods, including target prediction and bioinformatics analysis. Finally, a comorbid TS and RRTI rat model was established by intraperitoneal injection of 3,3-iminodipropionitrile (IDPN), cyclophosphamide (CTX), and lipopolysaccharide (LPS). Alteration of gut microbiota in the alleviation of TS and RRTI by QZD was investigated via intestinal flora analysis. The results of UPLC-Q-orbitrap-MS/MS showed that QZD had 96 types of chemical components. The network pharmacology results demonstrated that targets of QZD involved in the treatment of TS and RRTI involved 1045 biological processes (BPs), 109 cellular components (CCs), and 133 molecular functions (MFs), including synaptic and transsynaptic signaling, chemical synaptic transmission, neurotransmitter receptor activity, G protein-coupled amine receptor activity, and serotonin receptor activity, among others. Firmicutes, Bacteroidetes, Coprococcus, and Lachnospiraceae played crucial roles in gut microbiota of a QZD-treated comorbid TS and RRTI model. Our results revealed QZD provided a multicomponent, multitarget, and multipathway synergistic treatment of comorbid TS and RRTI.

A Rab10-ACAP1-Arf6 GTPases cascade modulates M4 muscarinic acetylcholine receptor trafficking and signaling.

Membrane trafficking processes regulate the G protein-coupled receptor activity. The muscarinic acetylcholine receptors (mAChRs) are highly pursued drug targets for neurological diseases, but the cellular machineries that control the trafficking of these receptors remain largely elusive. Here, we revealed the role of the small GTPase Rab10 as a negative regulator for the post-activation trafficking of M4 mAChR and the underlying mechanism. We show that constitutively active Rab10 arrests the receptor within Rab5-positive early endosomes and significantly hinders the resensitization of M4-mediated Ca2+ signaling. Mechanistically, M4 binds to Rab10-GTP, which requires the motif 386RKKRQMAA393 (R386-A393) within the third intracellular loop. Moreover, Rab10-GTP inactivates Arf6 by recruiting the Arf6 GTPase-activating protein, ACAP1. Strikingly, deletion of the motif R386-A393 causes M4 to bypass the control by Rab10 and switch to the Rab4-facilitated fast recycling pathway, thus reusing the receptor. Therefore, Rab10 couples the cargo sorting and membrane trafficking regulation through cycle between GTP-bound and GDP-bound state. Our findings suggest a model that Rab10 binds to the M4 like a molecular brake and controls the receptor's transport through endosomes, thus modulating the signaling, and this regulation is specific among the mAChR subtypes.

Identification of Potential Genes and Critical Pathways in Postoperative Recurrence of Crohn's Disease by Machine Learning And WGCNA Network Analysis.

Crohn's disease (CD) is a chronic idiopathic inflammatory bowel disease affecting the entire gastrointestinal tract from the mouth to the anus. These patients often experience a period of symptomatic relapse and remission. A 20 - 30% symptomatic recurrence rate is reported in the first year after surgery, with a 10% increase each subsequent year. Thus, surgery is done only to relieve symptoms and not for the complete cure of the disease. The determinants and the genetic factors of this disease recurrence are also not well-defined. Therefore, enhanced diagnostic efficiency and prognostic outcome are critical for confronting CD recurrence. We analysed ileal mucosa samples collected from neo-terminal ileum six months after surgery (M6=121 samples) from Crohn's disease dataset (GSE186582). The primary aim of this study is to identify the potential genes and critical pathways in post-operative recurrence of Crohn's disease. We combined the differential gene expression analysis with Recursive feature elimination (RFE), a machine learning approach to get five critical genes for the postoperative recurrence of Crohn's disease. The features (genes) selected by different methods were validated using five binary classifiers for recurrence and remission samples: Logistic Regression (LR), Decision tree classifier (DT), Support Vector Machine (SVM), Random Forest classifier (RF), and K-nearest neighbor (KNN) with 10-fold cross-validation. We also performed weighted gene co-expression network analysis (WGCNA) to select specific modules and feature genes associated with Crohn's disease postoperative recurrence, smoking, and biological sex. Combined with other biological interpretations, including Gene Ontology (GO) analysis, pathway enrichment, and protein-protein interaction (PPI) network analysis, our current study sheds light on the in-depth research of CD diagnosis and prognosis in postoperative recurrence. PLOD2, ZNF165, BOK, CX3CR1, and ARMCX4, are the important genes identified from the machine learning approach. These genes are reported to be involved in the viral protein interaction with cytokine and cytokine receptors, lysine degradation, and apoptosis. They are also linked with various cellular and molecular functions such as Peptidyl-lysine hydroxylation, Central nervous system maturation, G protein-coupled chemoattractant receptor activity, BCL-2 homology (BH) domain binding, Gliogenesis and negative regulation of mitochondrial depolarization. WGCNA identified a gene co-expression module that was primarily involved in mitochondrial translational elongation, mitochondrial translational termination, mitochondrial translation, mitochondrial respiratory chain complex, mRNA splicing via spliceosome pathways, etc.; Both the analysis result emphasizes that the mitochondrial depolarization pathway is linked with CD recurrence leading to oxidative stress in promoting inflammation in CD patients. These key genes serve as the novel diagnostic biomarker for the postoperative recurrence of Crohn's disease. Thus, among other treatment options present until now, these biomarkers would provide success in both diagnosis and prognosis, aiming for a long-lasting remission to prevent further complications in CD.

GPCRLigNet: rapid screening for GPCR active ligands using machine learning.

Molecules with bioactivity towards G protein-coupled receptors represent a subset of the vast space of small drug-like molecules. Here, we compare machine learning models, including dilated graph convolutional networks, that conduct binary classification to quickly identify molecules with activity towards G protein-coupled receptors. The models are trained and validated using a large set of over 600,000 active, inactive, and decoy compounds. The best performing machine learning model, dubbed GPCRLigNet, was a surprisingly simple feedforward dense neural network mapping from Morgan fingerprints to activity. Incorporation of GPCRLigNet into a high-throughput virtual screening workflow is demonstrated with molecular docking towards a particular G protein-coupled receptor, the pituitary adenylate cyclase-activating polypeptide receptor type 1. Through rigorous comparison of docking scores for molecules selected with and without using GPCRLigNet, we demonstrate an enrichment of potentially potent molecules using GPCRLigNet. This work provides a proof of principle that GPCRLigNet can effectively hone the chemical search space towards ligands with G protein-coupled receptor activity.

Unravelling G protein-coupled receptor signalling networks using global phosphoproteomics.

G protein-coupled receptor (GPCR) activation initiates signalling via a complex network of intracellular effectors that combine to produce diverse cellular and tissue responses. Although we have an advanced understanding of the proximal events following receptor stimulation, the molecular detail of GPCR signalling further downstream often remains obscure. Unravelling these GPCR-mediated signalling networks has important implications for receptor biology and drug discovery. In this context, phosphoproteomics has emerged as a powerful approach for investigating global GPCR signal transduction. Here, we provide a brief overview of the phosphoproteomic workflow and discuss current limitations and future directions for this technology. By highlighting some of the novel insights into GPCR signalling networks gained using phosphoproteomics, we demonstrate the utility of global phosphoproteomics to dissect GPCR signalling networks and to accelerate discovery of new targets for therapeutic development. LINKED ARTICLES: This article is part of a themed issue Therapeutic Targeting of G Protein-Coupled Receptors: hot topics from the Australasian Society of Clinical and Experimental Pharmacologists and Toxicologists 2021 Virtual Annual Scientific Meeting. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v181.14/issuetoc.

Neuroanatomical characterization of the G protein-coupled receptor activity evoked by galanin-related ligands

Galanin neuropeptide is distributed throughout the mammalian nervous system modulating a plethora of diverse physiological functions, including nociception, cognition and neuroendocrine regulation. The regulation of the galaninergic system is an interesting approach for the treatment of different diseases associated to those systems. Nevertheless, the pharmacological selectivity and activities of some galanin receptor (GalR) ligands are still in discussion and seem to depend on the dose, the receptor subtype and the second messengers to which they are coupled at different brain areas. The activity of different GalR ligands on Gi/o proteins, was evaluated by the guanosine 5′-(γ-[35S]thio)triphosphate ([35S]GTPγS) autoradiography in vitro assay applied to rat brain tissue slices in the presence of galanin, M15, M35, M40, gal(2−11) or galnon. The enhancement of the [35S]GTPγS binding induced by the chimerical peptides M15, M35 and M40 was similar to that produced by Gal in those brain areas showing the highest stimulations, such as dorsal part of the olfactory nucleus and ventral subiculum. In contrast to these peptides, using gal(2−11) no effect was measured on Gi/o protein coupling in areas of the rat brain with high GalR1 density such as posterior hypothalamic nucleus and amygdala, indicating low selectivity for GalR1 receptors. The effects evoked by the non-peptide ligand, galnon, were different from those induced by galanin, behaving as agonist or antagonist depending on the brain area, but the stimulations were always blocked by M35. Thus, the activity of most used GalR ligands on Gi/o protein mediated signalling is complex and depends on the brain area. More selective and potent GalR ligands are necessary to develop new treatments aimed to modulate the galaninergic system.

Identification of Taohong Siwu Decoction in Treating Chronic Glomerulonephritis Using Network Pharmacology and Molecular Docking

Background: Based on network pharmacology and molecular docking technology, the pharmacological mechanism of Taohong Siwu Decoction (THSWD) in the treatment of chronic glomerulonephritis (CGN) was analyzed to provide a theoretical basis for the subsequent development of new drugs and the clinical application of Traditional Chinese Medicine (TCM). Methods: Active ingredients of drugs and disease target genes were obtained from Traditional Chinese Medicine Database and Analysis Platform (TCMSP) database and GeneCards database. The “drug component target” network of THSWD was constructed using Cytoscape version 3.8.2 software. The protein interaction was analyzed using STRING platform, the protein–protein interaction (PPI) network was constructed, and the potential protein function modules in the network were mined. Metascape platform was used to analyze “drug component target” and its biological processes and pathways. The clusterProfiler R package was called to perform kyoto encyclopedia of genes and genomes (KEGG) pathway and gene ontology (GO) function enrichment analysis on CGN-related targets regulated by THSWD. Molecular docking verification was performed by AutoDock Vina software. Results: THSWD has 205 target genes and 45 active components, 104 of which are cross with the CGN inflammatory gene. Its main active ingredients, stigmasterol, kaempferol, and sitosterol, have positive relationships with the inflammatory targets of CGN, tumor necrosis factor (TNF), IL-6, AKT1, and MAPK14. THSWD modulates the biological pathway of CGN and mainly acts on TNF-α signal pathway, interleukin-17 signal pathway, etc., whose main functions are response to lipid sugar, heme binding, G protein-coupled amine receptor activity, etc. The results of molecular docking showed that the main active compounds could bind to the core targets and showed good affinity. Conclusion: The molecular mechanism of THSWD in the treatment of CGN from the perspective of network pharmacology are components such as beta-sitosterol, kaempferol, and quercetin and key action targets such as TNF, IL-6, AKT1 protein kinase, and MAPK14 protein kinase play a synergistic role in autoimmune, infection, and inflammatory response-related pathways.

Development of fluorescent peptide G protein-coupled receptor activation biosensors for NanoBRET characterization of intracellular allosteric modulators.

G protein-coupled receptors (GPCRs) are widely therapeutically targeted, and recent advances in allosteric modulator development at these receptors offer further potential for exploitation. Intracellular allosteric modulators (IAM) represent a class of ligands that bind to the receptor-effector interface (e.g., G protein) and inhibit agonist responses noncompetitively. This potentially offers greater selectivity between receptor subtypes compared to classical orthosteric ligands. However, while examples of IAM ligands are well described, a more general methodology for assessing compound interactions at the IAM site is lacking. Here, fluorescent labeled peptides based on the Gα peptide C terminus are developed as novel binding and activation biosensors for the GPCR-IAM site. In TR-FRET binding studies, unlabeled peptides derived from the Gαs subunit were first characterized for their ability to positively modulate agonist affinity at the β2 -adrenoceptor. On this basis, a tetramethylrhodamine (TMR) labeled tracer was synthesized based on the 19 amino acid Gαs peptide (TMR-Gαs19cha18, where cha=cyclohexylalanine). Using NanoBRET technology to detect binding, TMR-Gαs19cha18 was recruited to Gs coupled β2 -adrenoceptor and EP2 receptors in an agonist-dependent manner, but not the Gi-coupled CXCR2 receptor. Moreover, NanoBRET competition binding assays using TMR-Gαs19cha18 enabled direct assessment of the affinity of unlabeled ligands for β2 -adrenoceptor IAM site. Thus, the NanoBRET platform using fluorescent-labeled G protein peptide mimetics offers novel potential for medium-throughput screens to identify IAMs, applicable across GPCRs coupled to a G protein class. Using the same platform, Gs peptide biosensors also represent useful tools to probe orthosteric agonist efficacy and the dynamics of receptor activation.

Chrysin-Induced G Protein-Coupled Estrogen Receptor Activation Suppresses Pancreatic Cancer.

Pancreatic cancer (PC) has a high mortality rate due to its poor prognosis and the possibility of surgical resection in patients with the disease. Importantly, adjuvant chemotherapy is necessary to improve PC prognosis. Chrysin, a natural product with anti-inflammatory, antioxidant, and anticancer properties, has been studied for several years. Our previous study demonstrated that chrysin induced G protein-coupled estrogen receptor (GPER) expression and regulated its activity in breast cancer. Herein, we investigated whether chrysin-induced GPER activation suppresses PC progression in MIA PaCa-2 cells and a xenograft model. To determine its mechanism of action, cytotoxicity and clonogenic assays, a FACS analysis, and Western blotting were performed. Furthermore, the delay in tumor growth was evaluated in the MIA PaCa-2-derived xenograft model. Tumor tissues were investigated by Western blotting, immunohistochemistry, and a proteomic analysis. Chrysin caused cell cycle arrest and significantly decreased cell viability. Following co-treatment with chrysin and 17β-estradiol, the inhibitory effect of chrysin on cell proliferation was enhanced. In the xenograft model, chrysin and G1 (a GPER agonist) significantly delayed tumor growth and reduced both Ki-67 (a proliferation marker) and c-Myc expressions in tumor tissues. The proteomic analysis of tumor tissues identified that rho-associated coiled-coil containing protein kinase 1 (ROCK1), transgelin 2 (TAGLN2), and FCH and Mu domain containing endocytic adaptor 2 (FCHO2) levels were significantly reduced in chrysin-treated tumor tissues. High ROCK1, TAGLN2, and FCHO2 expressions were indicative of low overall PC survival as found using the Kaplan–Meier plotter. In conclusion, our results suggest that chrysin suppresses PC progression through the activation of GPER and reductions in ROCK1, TAGLN2, and FCHO2 expressions.

Molecular Mechanism of Xingnao Kaiqiao Pill for Perioperative Neurocognitive Disorder and Its Correlation With Immune and Inflammatory Signaling Pathways Based on Network Pharmacology and Molecular Docking.

To investigate the molecular mechanism of Xingnao Kaiqiao Pill in the treatment of perioperative neurocognitive disorder (PND) from the perspective of network pharmacology and molecular docking technology. Active ingredients of Xingnao Kaiqiao Pill were screened from the traditional Chinese medicine database and analysis platform, and the putative targets were predicted. The GeneCards database was searched to obtain PND-related targets. The genes corresponding to the targets were searched and annotated on the UniProt database. The VennDiagram package in R was employed to obtain common target genes. The overlap genes were introduced into STRING to obtain a protein-protein interaction (PPI) network; thus, key targets were screened. The target relationship network of “Xingnao Kaiqiao Pill–traditional Chinese medicine–compound–common target” was constructed by Cytoscape software. Using R language package Bioconductor, Gene Ontology (GO) and pathway enrichment analysis (Kyoto Encyclopedia of Genes and Genomes Pathway, KEGG Pathway) were performed on the common target genes. A total of 45 active ingredients of Xingnao Kaiqiao Pill were screened, with 182 potential targets, and 1,579 PND-related targets were retrieved from the GeneCards databases (Score ≥ 1). Using VennDiagram, 132 overlap genes were gotten. Xingnao Kaiqiao Pill mainly acted on targets, such as MAPK and JUN. GO enrichment analysis displayed G protein-coupled amine receptor activity, nuclear receptor activity, ligand-activated transcription factor activity, G protein-coupled neurotransmitter receptor activity, steroid hormone receptor activity, and cytokine receptor activity. KEGG enrichment analysis exhibited 157 signaling pathways. The regulation of interleukin 17, tumor necrosis factor, hypoxia-inducible factor-1, and MAPK signaling pathways affected central nervous system (CNS) inflammatory response, cellular immunity, tumor-related signaling pathways, protected neurons, and inhibited PND. The active ingredients of Xingnao Kaiqiao Pill adjust interleukin 17, tumor necrosis factor, hypoxia-inducible factor-1, and MAPK signaling pathways by acting on cell targets, such as JUN, MAPK, AKT1, etc., and finally exert a therapeutic effect on PND.

G protein-coupled estrogen receptor activation by bisphenol-A disrupts the protection from apoptosis conferred by the estrogen receptors ERα and ERβ in pancreatic beta cells

17β-estradiol protects pancreatic β-cells from apoptosis via the estrogen receptors ERα, ERβ and GPER. Conversely, the endocrine disruptor bisphenol-A (BPA), which exerts multiple effects in this cell type via the same estrogen receptors, increased basal apoptosis. The molecular-initiated events that trigger these opposite actions have yet to be identified. We demonstrated that combined genetic downregulation and pharmacological blockade of each estrogen receptor increased apoptosis to a different extent. The increase in apoptosis induced by BPA was diminished by the pharmacological blockade or the genetic silencing of GPER, and it was partially reproduced by the GPER agonist G1. BPA and G1-induced apoptosis were abolished upon pharmacological inhibition, silencing of ERα and ERβ, or in dispersed islet cells from ERβ knockout (BERKO) mice. However, the ERα and ERβ agonists PPT and DPN, respectively, had no effect on beta cell viability. To exert their biological actions, ERα and ERβ form homodimers and heterodimers. Molecular dynamics simulations together with proximity ligand assays and coimmunoprecipitation experiments indicated that the interaction of BPA with ERα and ERβ as well as GPER activation by G1 decreased ERαβ heterodimers. We propose that ERαβ heterodimers play an antiapoptotic role in beta cells and that BPA- and G1-induced decreases in ERαβ heterodimers lead to beta cell apoptosis. Unveiling how different estrogenic chemicals affect the crosstalk among estrogen receptors should help to identify diabetogenic endocrine disruptors.

Oxidation of Membrane Lipids Alters the Activity of the Human Serotonin 1A Receptor.

Lipid oxidation has significant effects on lipid bilayer properties; these effects can be expected to extend to interactions between the lipid bilayer and integral membrane proteins. Given that G protein-coupled receptor (GPCR) activity is known to depend on the properties of the surrounding lipid bilayer, these proteins represent an intriguing class of molecules in which the impact of lipid oxidation on protein behavior is studied. Here, we study the effects of lipid oxidation on the human serotonin 1A receptor (5-HT1AR). Giant unilamellar vesicles (GUVs) containing integral 5-HT1AR were fabricated by the hydrogel swelling method; these GUVs contained polyunsaturated 1-palmitoyl-2-linoleoyl-sn-glycero-3-phosphocholine (PLinPC) and its oxidation product 1-palmitoyl-2-(9'-oxo-nonanoyl)-sn-glycero-3-phosphocholine (PoxnoPC) at various ratios. 5-HT1AR-integrated GUVs were also fabricated from lipid mixtures that had been oxidized by extended exposure to the atmosphere. Both types of vesicles were used to evaluate 5-HT1AR activity using an assay to quantify GDP-GTP exchange by the coupled G protein α subunit. Results indicated that 5-HT1AR activity increases significantly in bilayers containing oxidized lipids. This work is an important step in understanding how hyperbaric oxidation can change plasma membrane properties and lead to physiological dysfunction.

The potential mechanism of Bupleurum against anxiety was predicted by network pharmacology study and molecular docking.

Bupleurum chinense DC. (Chaihu) is a traditional Chinese medicine (TCM) used in the treatment of anxiety. But the anxiolytic mechanisms of bupleurum are still unclear. Therefore, this unknown is predicted by network pharmacology study with molecular docking in the present study. The components of bupleurum were obtained from the databases. Genes associated with components and disease were also provided by databases. Overlapping genes between components and disease were analyzed. The network of medicine-components-targets-disease was constructed, visualized, and analyzed. Protein-protein interaction (PPI), gene ontology (GO), pathway enrichment (KEGG) and molecular docking were conducted to predict the potential mechanisms of bupleurum on anxiety. A total of 9 bioactive components derived from bupleurum with 80 target genes were involved in anxiety. Neurotransmitter receptor activity, G protein-coupled amine receptor activity, regulation of blood circulation, neuroactive ligand-receptor interaction, calcium signaling pathway and salivary secretion may play significant roles in the anxiolytic of bupleurum. Molecular docking implicated that ACHE and MAOA showed high affinity for stigmasterol. Based on network pharmacology study with molecular docking, multi-component-multi-target-multi-pathway action mode of bupleurum on anxiety was elaborated. Stigmasterol might be the core bioactive component, while ACHE and MAOA might be the core target genes in the pharmacological profile of bupleurum on anxiety.

Identification of difluorinated curcumin molecular targets linked to traumatic brain injury pathophysiology

Traumatic brain injury (TBI) affects approximately 50% of the world population at some point in their lifetime. To date, there are no effective treatments as most of the damage occurs due to secondary effects through a variety of pathophysiological pathways. The phytoceutical curcumin has been traditionally used as a natural remedy for numerous conditions including diabetes, inflammatory diseases, and neurological and neurodegenerative disorders. We have carried out a system pharmacology study to identify potential targets of a difluorinated curcumin analogue (CDF) that overlap with those involved in the pathophysiological mechanisms of TBI. This resulted in identification of 312 targets which are mostly involved in G protein-coupled receptor activity and cellular signalling. These include adrenergic, serotonergic, opioid and cannabinoid receptor families, which have been implicated in regulation of pain, inflammation, mood, learning and cognition pathways. We conclude that further studies should be performed to validate curcumin as a potential novel treatment to ameliorate the effects of TBI.

Comparative transcriptome analysis identifies important maternal molecules and associated biological pathways for pig and human mature oocytes.

Recent researches reveal that during oocyte maturation, species-specific molecular profile exists and has important functional roles. However, molecular differences between pig (a larger animal model for human reproduction) and human mature oocytes remain unknown. Here, by comparative transcriptome analyses of single-cell RNA-seq data, we aimed to identify the common and unique maternal factors and associated biological processes between in vivo and in vitro matured pig oocytes, and between in vitro matured human and pig oocytes. Annotated protein-coding mRNAs were identified in pig in vivo (11,147) and in vitro (11,997), and human in vitro (14,491) MII oocytes, respectively. For in vivo and in vitro derived pig MII oocytes, 10,551 annotated maternal mRNAs were common, mainly enriched in signalling pathways such as cell cycle, oocyte meiosis, microtubule cytoskeleton, MAPK, RNA processing/binding. Besides, in vivo (596) and in vitro (1446) pig MII-specific mRNAs and their involved signalling pathways (in vivo: Bmp, calcium-mediated signalling, PI3K-Akt; in vitro: growth factor activity, JAK-STAT, cytokine-cytokine receptor interaction, calcium signalling pathway) were also found. As for in vitro derived human and pig MII oocytes, 10,285 annotated mRNAs were common, enriched in a variety of signalling pathways (cell cycle, oocyte meiosis, microtubule, AMPK, RNA splicing, protein serine/threonine kinase activity, etc). In vitro MII-specific mRNAs were found for humans (4206) and pigs (1712), which were also enriched in species-specific signalling pathways (humans: golgi-related terms, transcription repressor and hormone activity; pigs: ATP biosynthetic process, G protein-coupled peptide receptor activity, animoacyl-tRNA biosynthesis), respectively. These findings improve our understanding on oocyte maturation, and also the limitations of pig model for human oocyte maturation and fertilization.

Differential Expression and Bioinformatics Analysis of tRF/tiRNA in Endometriosis Patients.

Background Endometriosis (EMs) is a benign chronic condition that tends to recur in women of childbearing age, with an incidence of approximately 10%. It is a multifactorial disease for which the pathogenesis is currently unclear. This study is aimed at investigating the expression and clinical significance of tRNA-derived small RNA (tsRNA), a novel noncoding small RNA with potential regulatory functions, in endometriosis. Methods The tRF/tiRNA expression profiles in endometrial tissues from three pairs of endometriosis patients and controls were detected by tRF&tiRNA PCR microarray technology and then verified by quantitative real-time polymerase chain reaction (qPCR). The target genes and target sites of TRF396, tiRNA-5030-GlnTTG-3, TRF308, and TRF320 were predicted by miRanda, and the network diagram of their interaction with miRNA was drawn. The impact of tRNA-derived fragments on the pathogenesis of endometriosis was analyzed using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Results Two upregulated and 19 downregulated tRNA-derived fragments were identified. The qRT-PCR results of 2 upregulated and 2 downregulated RNA-derived fragments were consistent with the RNA Seq data. The OR2B4 gene related to TRF396, the DGAT1 gene related to tiRNA-5030-GlnTTG-3, the KLF16 gene of TRF308, and the RNF213 gene of TRF320 had significant correlations. Gene Ontology and pathway analysis showed that the target genes of TRF396 and tiRNA-5030-GlnTTG-3 were mainly involved in the intrinsic components of the membrane and the overall composition of the membrane in cell components; molecular functions mainly involve olfactory conduction and G protein-coupled receptor activity. In the biological process, it was mainly involved in the detection of sensory stimuli. The target genes of TRF308 and TRF320 were mainly involved in the intracellular part; molecular functions are mainly related to DNA binding transcription factor activity and protein binding and mainly related to biological regulation of biological processes. Pathway analysis showed that the RAP1 signaling pathway and the AXON GUIDANCE signaling pathway may participate in the progression of endometriosis. Conclusion The differential expression of tRF/tiRNA in endometriosis may be related to the pathogenesis of endometriosis. Furthermore, tRF/tiRNA may be a biomarker for the diagnosis and treatment of EMs in the future.

Autoregulation of GPCR conformation and selective G protein activation by an intrinsically disordered loop region

While the structural mechanism of G protein-coupled receptor (GPCR) activation is well studied, there is sparse information concerning the functional role of the intrinsically disordered intracellular loops of the receptor in said mechanism. We show that the third intracellular loop (ICL3) of the beta 2 adrenergic receptor (β2AR) autoregulates receptor activation and G protein-mediated signaling. Using a combination of time resolved fluorescence spectroscopy and molecular dynamics simulations, we find that ICL3 is in an equilibrium between an ensemble of closed and open conformational states.

Kaempferol acts on bile acid signaling and gut microbiota to attenuate the tumor burden in ApcMin/+ mice

Emerging evidence points to a strong association between the bile acid (BA)-gut microbiota (GM) axis, and the risk of colorectal cancer (CRC). Kaempferol, a common polyphenol in the daily diet, shows various pharmacological activities. However, it remains unclear about the effect of kaempferol on the CRC development and the BA-GM homeostasis. Here, we found kaempferol effectively reduced tumor burden, restored the damaged intestinal barrier and downregulated antigen Ki67 and leucine-rich repeat-containing G-protein coupled receptor 5 (LGR5) expressions in ApcMin/+ mice. For BA metabolism, kaempferol reversed the decreasing trend in chenodesoxycholic acid (CDCA) and 12α-hydroxylated BAs by increasing the sterol 27-hydroxylase (CYP27A1) and sterol 12α-hydroxylase (CYP8B1) expressions, and upregulated FXR expression. Importantly, molecular docking analysis revealed a direct interaction between kaempferol and farnesoid X receptor (FXR), the mater regulator of BA signaling. For GM analysis, we found higher abundances of species with anticancer properties and lower abundances of species associated with inflammation, obesity, and metabolic disorders in kaempferol-treated groups. Moreover, the gut of kaempferol-treated mice was predominantly colonized by short-chain fatty acid (SCFA) and lactic acid producing bacteria. Based on the PICRUSt-predicted pathways of our GM dataset, we demonstrated that kaempferol downregulated secondary BA synthesis pathways, increased G protein-coupled receptor activity and decreased NOD-like receptor activity, affecting cell differentiation, proliferation, survival, and apoptosis. Collectively, these results reveal that kaempferol effectively attenuates the tumor burden in ApcMin/+ mice by modulating the BA signaling and GM homeostasis.

Dietary Fibers: Effects, Underlying Mechanisms and Possible Role in Allergic Asthma Management

The prevalence of asthma is increasing, but the cause remains under debate. Research currently focuses on environmental and dietary factors that may impact the gut-lung axis. Dietary fibers are considered to play a crucial role in supporting diversity and activity of the microbiome, as well as immune homeostasis in the gut and lung. This review discusses the current state of knowledge on how dietary fibers and their bacterial fermentation products may affect the pathophysiology of allergic asthma. Moreover, the impact of dietary fibers on early type 2 asthma management, as shown in both pre-clinical and clinical studies, is described. Short-chain fatty acids, fiber metabolites, modulate host immunity and might reduce the risk of allergic asthma development. Underlying mechanisms include G protein-coupled receptor activation and histone deacetylase inhibition. These results are supported by studies in mice, children and adults with allergic asthma. Fibers might also exert direct effects on the immune system via yet to be elucidated mechanisms. However, the effects of specific types of fiber, dosages, duration of treatment, and combination with probiotics, need to be explored. There is an urgent need to further valorize the potential of specific dietary fibers in prevention and treatment of allergic asthma by conducting more large-scale dietary intervention trials.

Study on the Mechanism of Liuwei Dihuang Pills in Treating Parkinson's Disease Based on Network Pharmacology.

Background Parkinson's disease (PD) is a common neurodegenerative disease in middle-aged and elderly people. Liuwei Dihuang (LWDH) pills have a good effect on PD, but its mechanism remains unclear. Network pharmacology is the result of integrating basic theories and research methods of medicine, biology, computer science, bioinformatics, and other disciplines, which can systematically and comprehensively reflect the mechanism of drug intervention in disease networks. Methods The main components and targets of herbs in LWDH pills were obtained through Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Its active components were screened based on absorption, distribution, metabolism, and excretion (ADME); the PD-related targets were obtained from the Genecards, OMIM, TTD, and DRUGBANK databases. We used R to take the intersection of LWDH- and PD-related targets and Cytoscape software to construct the drug-component-target network. Moreover, STRING and Cytoscape software was used to analyze protein–protein interactions (PPI), construct a PPI network, and explore potential protein functional modules in the network. The Metascape platform was used to perform KEGG pathway and GO function enrichment analyses. Finally, molecular docking was performed to verify whether the compound and target have good binding activity. Results After screening and deduplication, 210 effective active ingredients, 204 drug targets, 4333 disease targets, and 162 drug-disease targets were obtained. We consequently constructed a drug-component-targets network and a PPI-drug-disease-targets network. The results showed that the hub components of LWDH pills were quercetin, stigmasterol, kaempferol, and beta-sitosterol; the hub targets were AKT1, VEGFA, and IL6. GO and KEGG enrichment analyses showed that these targets are involved in neuronal death, G protein-coupled amine receptor activity, reactive oxygen species metabolic processes, membrane rafts, MAPK signaling pathways, cellular senescence, and other biological processes. Molecular docking showed that the hub components were in good agreement with the hub targets. Conclusion LWDH pills have implications for the treatment of PD since they contain several active components, target multiple ligands, and activate various pathways. The hub components possibly include quercetin, stigmasterol, kaempferol, and beta-sitosterol and act through pairing with hub targets, such as AKT1, VEGFA, and IL6, to regulate neuronal death, G protein-coupled amine receptor activity, reactive oxygen species metabolic process, membrane raft, MAPK signaling pathway, and cellular senescence for the treatment of PD.