G-protein Coupled Receptor Signaling Pathway Research Articles

Metaboepigenetic regulation of gene expression in obesity and insulin resistance.

Variation in DNA methylation (DNAm) in adipose tissue is associated with the pathogenesis of obesity and insulin resistance. The activity of enzymes involved in altering DNAm levels is dependent on several metabolite cofactors. To understand the role of metabolites as mechanistic regulators of epigenetic marks, we tested the association between selected plasma metabolites and DNAm levels in the adipose tissue of African Americans. In the AAGMEx cohort (N = 256), plasma levels of metabolites were measured by untargeted liquid chromatography-mass spectrometry; adipose tissue DNAm and transcript levels were measured by reduced representation bisulfite sequencing, and expression microarray, respectively. Among the 21 one-carbon metabolism pathway metabolites evaluated, six were associated with gluco-metabolic traits (PFDR < 0.05, for BMI, SI, or Matsuda index) in AAGMEx. Methylation levels of 196, 116, and 180 CpG-sites were associated (P < 0.0001) with S-adenosylhomocysteine (SAH), cystine, and hypotaurine, respectively. Cis-expression quantitative trait methylation (cis eQTM) analyses suggested the role of metabolite-level-associated CpG sites in regulating the expression of adipose tissue transcripts, including genes in G-protein coupled receptor signaling pathway. Plasma SAH level-associated CpG sites chr19:3403712 and chr19:3403735 were also associated with the expression of G-protein subunit alpha 15 (GNA15) in adipose. The expression of GNA15 was significantly correlated with BMI (β = 1.87, P = 1.9 × 10-16) and SI (β = -1.61, P = 2.49 × 10-5). Our study suggests that a subset of metabolites modulates the methylation levels of CpG sites in specific loci and, in turn, regulates the expression of transcripts involved in obesity and insulin resistance.

Integrative analysis of bulk and single-cell RNA sequencing reveals the gene expression profile and the critical signaling pathways of type II CPAM

BackgroudType II congenital pulmonary airway malformation (CPAM) is a rare pulmonary microcystic developmental malformation. Surgical excision is the primary treatment for CPAM, although maternal steroids and betamethasone have proven effective in reducing microcystic CPAM. Disturbed intercellular communication may contribute to the development of CPAM. This study aims to investigate the expression profile and analyze intercellular communication networks to identify genes potentially associated with type II CPAM pathogenesis and therapeutic targets.MethodsRNA sequencing (RNA-seq) was performed on samples extracted from both the cystic area and the adjacent normal tissue post-surgery in CPAM patients. Iterative weighted gene correlation network analysis (iWGCNA) was used to identify genes specifically expressed in type II CPAM. Single-cell RNA-seq (scRNA-seq) was integrated to unveil the heterogeneity in cell populations and analyze the communication and interaction within epithelial cell sub-populations.ResultsA total of 2,618 differentially expressed genes were identified, primarily enriched in cilium-related biological process and inflammatory response process. Key genes such as EDN1, GPR17, FPR2, and CHRM1, involved in the G protein-coupled receptor (GPCR) signaling pathway and playing roles in cell differentiation, apoptosis, calcium homeostasis, and the immune response, were highlighted based on the protein-protein interaction network. Type II CPAM-associated modules, including ciliary function-related genes, were identified using iWGCNA. By integrating scRNA-seq data, AGR3 (related to calcium homeostasis) and SLC11A1 (immune related) were identified as the only two differently expressed genes in epithelial cells of CPAM. Cell communication analysis revealed that alveolar type 1 (AT1) and alveolar type 2 (AT2) cells were the predominant communication cells for outgoing and incoming signals in epithelial cells. The ligands and receptors between epithelial cell subtypes included COLLAGEN genes enriched in PI3K-AKT singaling and involved in epithelial to mesenchymal transition.ConclusionsIn summary, by integrating bulk RNA-seq data of type II CPAM with scRNA-seq data, the gene expression profile and critical signaling pathways such as GPCR signaling and PI3K-AKT signaling pathways were revealed. Abnormally expressed genes in these pathways may disrupt epithelial-mesenchymal transition and contribute to the development of CPAM. Given the effectiveness of prenatal treatments of microcystic CPAM using maternal steroids and maternal betamethasone administration, targeting the genes and signaling pathways involved in the development of CPAM presents a promising therapeutic strategy.

Altered expression of transfer RNAs and their possible roles in brain white matter injury.

Transfer RNAs (tRNAs) can regulate cell behavior and are associated with neurological disorders. Here, we aimed to investigate the expression levels of tRNAs in oligodendrocyte precursor cells (OPCs) and their possible roles in the regulation of brain white matter injury (WMI). Newborn Sprague-Dawley rats (postnatal day 5) were used to establish a model that mimicked neonatal brain WMI. RNA-array analysis was performed to examine the expression of tRNAs in OPCs. psRNAtarget software was used to predict target mRNAs of significantly altered tRNAs. Gene ontology (GO) and KEGG were used to analyze the pathways for target mRNAs. Eighty-nine tRNAs were changed after WMI (fold change absolute ≥1.5, P < 0.01), with 31 downregulated and 58 upregulated. Among them, three significantly changed tRNAs were identified, with two being significantly increased (chr10.trna1314-ProTGG and chr2.trna2771-ProAGG) and one significantly decreased (chr10.trna11264-GlyTCC). Further, target mRNA prediction and GO/KEGG pathway analysis indicated that the target mRNAs of these tRNAs are mainly involved in G-protein coupled receptor signaling pathways and beta-alanine metabolism, which are both related to myelin formation. In summary, the expression of tRNAs in OPCs was significantly altered after brain WMI, suggesting that tRNAs may play important roles in regulating WMI. This improves the knowledge about WMI pathophysiology and may provide novel treatment targets for WMI.

GPCRs involved in metabolic diseases: pharmacotherapeutic development updates.

G protein-coupled receptors (GPCRs) are expressed in a variety of cell types and tissues, and activation of GPCRs is involved in enormous metabolic pathways, including nutrient synthesis, transportation, storage or insulin sensitivity, etc. This review intends to summarize the regulation of metabolic homeostasis and mechanisms by a series of GPCRs, such as GPR91, GPR55, GPR119, GPR109a, GPR142, GPR40, GPR41, GPR43 and GPR120. With deep understanding of GPCR's structure and signaling pathways, it is attempting to uncover the role of GPCRs in major metabolic diseases, including metabolic syndrome, diabetes, dyslipidemia and nonalcoholic steatohepatitis, for which the global prevalence has risen during last two decades. An extensive list of agonists and antagonists with their chemical structures in a nature of small molecular compounds for above-mentioned GPCRs is provided as pharmacologic candidates, and their preliminary data of preclinical studies are discussed. Moreover, their beneficial effects in correcting abnormalities of metabolic syndrome, diabetes and dyslipidemia are summarized when clinical trials have been undertaken. Thus, accumulating data suggest that these agonists or antagonists might become as new pharmacotherapeutic candidates for the treatment of metabolic diseases.

Abstract 126: Connectome Gradient Dysfunction Contributes to White Matter Hyperintensity-Related Cognitive Decline

Introduction: Although White matter hyperintensity (WMH) is closely associated with cognitive decline, the precise neurobiological mechanisms underlying this relationship are not fully elucidated. Connectome studies have identified a primary-to-transmodal gradient in functional brain networks that support the spectrum from sensation to cognition. However, whether this gradient structure is altered as WMH progresses and how this alteration is associated with WMH-related cognitive decline remain unknown. Methods: A total of 758 individuals with WMH were enrolled from two medical centers and one community. All these participants completed cognitive assessment and resting-state functional MRI (rs-fMRI). The functional connectome gradient was reconstructed based on rs-fMRI by using a gradient decomposition framework. Interrelations amongst regional WMH, functional gradient measures, and specific cognitive domains were explored. Results: The larger WMH volume, the narrower range ( r = -0.099, p = 0.006) and smaller variance ( r = -0.121, p &lt; 0.001) of the primary-to-transmodal gradient, as well as the poorer executive function ( r = -0.135, p = 0.001) and information processing speed ( r = -0.224, p = 0.001). A narrower range ( r = 0.131, p = 0.001) and smaller variance ( r = 0.136, p = 0.001) of the primary-to-transmodal gradient corresponded to poorer executive function. In particular, the relationship between frontal/occipital WMH and executive function was partly mediated by gradient range/variance of the primary-to-transmodal gradient (the 95% confidence interval did not contain the value 0). WMH-related gradient alterations were associated with gene expression levels involved in the G protein-coupled receptor (GPCR) signaling pathway (FDR q -value &lt; 10 -4 ) and chemical synaptic transmission (FDR q -value &lt; 10 -6 ). Discussion: We found that the primary-to-transmodal gradient dysfunction contributes to WMH-related cognitive decline. The detrimental effect of frontal/occipital WMH on executive function was mediated by decreased differentiation of the connectivity pattern between the primary and transmodal areas. The neurobiological mechanisms may be related to the GPCR signaling pathway and chemical synaptic transmission.

G protein-coupled receptors (GPCRs) as Potential Therapeutics for Psychiatric Disorders.

In the central nervous system (CNS), G-protein-coupled receptors (GPCRs) are the most common targets of neuropharmacological drugs. GPCRs are activated by various neurotransmitters, which results in slow synaptic transmission. Recently, remarkable progress has been achieved in identifying genes and signaling pathways linked to the risk of psychiatric disorders. Even though the biological mechanisms governing psychiatric disorders, such as mood disorders and schizophrenia, are uncertain, GPCRs are essential in diagnosing and treating various ailments. However, due to the complicated reasons responsible for these disorders, there has been a significant decrease in the pipeline for the progression of novel psychiatric medications throughout the world. Antipsychotics and antidepressants target GPCRs, which regulate various subsequent signaling pathways and play a key role in altering brain function. The advancement of our knowledge of GPCR signaling has opened up new avenues for developing customized medications. This review summarizes the current understanding of therapeutic GPCR targets for psychiatric disorders. For patients resistant to current therapies, the future development of new drugs targeting GPCR signaling pathways is promising.

Identification of EDNRA as the Key Biomarker for Hypercholesterolemia and Colorectal Cancer.

Some studies have investigated the role of cholesterol in the progression of colorectal cancer (CRC). However, the underlying mechanism of action is not clear. In this study, we used bioinformatics tools to elucidate the molecular mechanisms involved. We initially obtained CRC datasets from the Gene Expression Omnibus (GEO) database and hypercholesterolemia data from GeneCards and DisGeNE. Common differentially expressed genes (DEGs) were determined by using Venn diagram web tools. Next, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). The hub gene was identified through common expression pattern analysis and survival analysis. Finally, we conducted an immune regulatory point analysis and predicted target drugs based on the hub gene. The results of our analysis revealed 13 common DEGs, with endothelin receptor type A (EDNRA) identified as the hub gene linking hypercholesterolemia and CRC. The results of the GO analysis showed that the common DEGs were primarily associated with the G-protein coupled receptor signaling pathway, extracellular space, and receptor binding. The results of the KEGG pathway enrichment analysis indicated enrichment in pathways related to cancer and the phospholipase D signaling pathway. Additionally, we identified potential target drugs, including Podocarpus montanus, Diospyros kaki, Herba Salviae japoniae, sitaxentan, and ambrisentan. We found that EDNRA might be an underlying biomarker for both hypercholesterolemia and CRC. The predicted target drugs provide new strategies for treating CRC.

Single-Molecule Imaging Reveals Differential AT1R Stoichiometry Change in Biased Signaling.

G protein-coupled receptors (GPCRs) represent promising therapeutic targets due to their involvement in numerous physiological processes mediated by downstream G protein- and β-arrestin-mediated signal transduction cascades. Although the precise control of GPCR signaling pathways is therapeutically valuable, the molecular details for governing biased GPCR signaling remain elusive. The Angiotensin II type 1 receptor (AT1R), a prototypical class A GPCR with profound implications for cardiovascular functions, has become a focal point for biased ligand-based clinical interventions. Herein, we used single-molecule live-cell imaging techniques to evaluate the changes in stoichiometry and dynamics of AT1R with distinct biased ligand stimulations in real time. It was revealed that AT1R existed predominantly in monomers and dimers and underwent oligomerization upon ligand stimulation. Notably, β-arrestin-biased ligands induced the formation of higher-order aggregates, resulting in a slower diffusion profile for AT1R compared to G protein-biased ligands. Furthermore, we demonstrated that the augmented aggregation of AT1R, triggered by activation from each biased ligand, was completely abrogated in β-arrestin knockout cells. These findings furnish novel insights into the intricate relationship between GPCR aggregation states and biased signaling, underscoring the pivotal role of molecular behaviors in guiding the development of selective therapeutic agents.

Overview of G-protein coupled receptors (GPCRs) in adipose tissues and their regulatory roles in the pathophysiology of human diseases

Despite the advancement of allopathic medicine, G-protein coupled receptors (GPCRs) are investigated as ideal drug targets for a range of chronic diseases including cancers, obesity, type II diabetes mellitus, non-alcoholic fatty liver, cardiovascular diseases, and neurodegeneration. During the past decades, scientists have been directly focused on the deep understanding of GPCR signaling pathways involved in the regulation of energy homeostasis and glucose metabolism which can hopefully direct towards the synthesis of novel drug compounds. Regulation of energy homeostasis is always aligned with the GPCRs associated with adipose tissues in which obesity is identified as one of the major diseases. However, evidence has not been provided on Food and Drug Administration (FDA) approved therapeutics for obesity that can directly affect the metabolism of adipose tissues yet. With the aid of these findings related to adipose tissue biology, further expansion and metabolic activation of white adipose tissues, brown adipose tissues, and beige adipose tissues will be potential target therapy for a variety of human diseases in the future. Therefore, the present review primarily focuses on the GPCRs present in adipose tissues and their regulatory roles in the pathophysiology of human diseases.

Transcriptome analysis of Schizothorax oconnori (Cypriniformes: Cyprinidae) oocytes: The role of K+ in promoting yolk globule fusion and regulating oocyte maturation.

Schizothorax oconnori (S. oconnori) is an economically important fish in Tibet. Oocyte maturation is a physiological process that is of great significance to reproduction and seed production in S. oconnori, yet little is currently known regarding the molecular mechanisms of oocyte development in this species. To identify candidate genes involved in reproduction of female fish, a combination of PacBio and Illumina HiSeq technologies was employed to provide deep coverage of the oocyte transcriptome. Transcriptome analysis revealed several candidate genes that are potentially involved in the regulation of oocyte maturation in S. oconnori, including GIRK1, CHRM3, NPY2R, GABRA3, GnRH3, mGluR1α, GPER1, GDF9, HSP90, and ESR2. Genes that are significantly expressed during oocyte maturation mainly contribute to the GPCR signaling pathway and the estrogen signaling pathway. Neurotransmitter (Ach, NPY, and GABA) and peptide hormone (GnRH3) binding to G protein-coupled receptors (GPCRs) frees G-protein βγ subunits to interact with the G protein-gated inward rectifier K+ channel 1 (GIRK1). This process helps release K+ from granulosa cells to maturing oocytes, allowing yolk globule fusion. This mechanism may play an important role in oocyte maturation in S. oconnori. In conclusion, this study provides a valuable basis for deciphering the reproductive system in S. oconnori during the oocyte maturation process.

Identification of common factors among fibrosarcoma, rhabdomyosarcoma, and osteosarcoma by network analysis

Sarcoma cancers are uncommon malignant tumors, and there are many subgroups, including fibrosarcoma (FS), which mainly affects middle-aged and older adults in deep soft tissues. Rhabdomyosarcoma (RMS), on the other hand, is the most common soft-tissue sarcoma in children and is located in the head and neck area. Osteosarcomas (OS) is the predominant form of primary bone cancer among young adults, primarily resulting from sporadically random mutations. This frequently results in the dissemination of cancer cells to the lungs, commonly known as metastasis. Mesodermal cells are the origin of sarcoma cancers. In this study, a rather radical approach has been applied. Instead of comparing homogenous cancer types, we focus on three main subtypes of sarcoma: fibrosarcoma, rhabdomyosarcoma, and osteosarcoma, and compare their gene expression with normal cell groups to identify the differentially expressed genes (DEGs). Next, by applying protein-protein interaction (PPI) network analysis, we determine the hub genes and crucial factors, such as transcription factors (TFs), affected by these types of cancer. Our findings indicate a modification in a range of pathways associated with cell cycle, extracellular matrix, and DNA repair in these three malignancies.Results showed that fibrosarcoma (FS), rhabdomyosarcoma (RMS), and osteosarcoma (OS) had 653, 1270, and 2823 differentially expressed genes (DEGs), respectively. Interestingly, there were 24 DEGs common to all three types. Network analysis showed that the fibrosarcoma network had two sub-networks identified in FS that contributed to the catabolic process of collagen via the G-protein coupled receptor signaling pathway. The rhabdomyosarcoma network included nine sub-networks associated with cell division, extracellular matrix organization, mRNA splicing via spliceosome, and others. The osteosarcoma network has 13 sub-networks, including mRNA splicing, sister chromatid cohesion, DNA repair, etc. In conclusion, the common DEGs identified in this study have been shown to play significant and multiple roles in various other cancers based on the literature review, indicating their significance.

Reshaping the yeast galactose regulon via GPCR signaling cascade

Dynamically regulated systems are preferable to control metabolic pathways for an improved strain performance with better productivity. Here, we harnessed to the G protein-coupled receptor (GPCR) signaling pathway to reshape the yeast galactose regulon. The galactose-regulated (GAL) system was coupled with the GPCR signaling pathway for mating pheromone via a synthetic transcription factor. In this study, we refabricated the dynamic range, sensitivity, and response time of the GAL system to α factor by modulating the key components of the GPCR signaling cascade. A series of engineered yeasts with self-secretion of α factor were constructed to achieve quorum-sensing behaviors. In addition, we also repurposed the GAL system to make it responsive to heat shock. Taken together, our work showcases the great potential of synthetic biology in creating user-defined metabolic controls. We envision that the plasticity of our genetic design would be of significant interest for the future fabrication of novel gene expression systems.

TIPE proteins control directed migration of human T cells by directing GPCR and lipid second messenger signaling.

Tissue infiltration by circulating leukocytes via directed migration (also referred to as chemotaxis) is a common pathogenic mechanism of inflammatory diseases. G protein-coupled receptors (GPCRs) are essential for sensing chemokine gradients and directing the movement of leukocytes during immune responses. The tumor necrosis factor α-induced protein 8-like (TIPE or TNFAIP8L) family of proteins are newly described pilot proteins that control directed migration of murine leukocytes. However, how leukocytes integrate site-specific directional cues, such as chemokine gradients, and utilize GPCR and TIPE proteins to make directional decisions are not well understood. Using both gene knockdown and biochemical methods, we demonstrated here that 2 human TIPE family members, TNFAIP8 and TIPE2, were essential for directed migration of human CD4+ T cells. T cells deficient in both of these proteins completely lost their directionality. TNFAIP8 interacted with the Gαi subunit of heterotrimeric (α, β, γ) G proteins, whereas TIPE2 bound to PIP2 and PIP3 to spatiotemporally control immune cell migration. Using deletion and site-directed mutagenesis, we established that Gαi interacted with TNFAIP8 through its C-terminal amino acids, and that TIPE2 protein interacted with PIP2 and PIP3 through its positively charged amino acids on the α0 helix and at the grip-like entrance. We also discovered that TIPE protein membrane translocation (i.e. crucial for sensing chemokine gradients) was dependent on PIP2. Collectively, our work describes a new mechanistic paradigm for how human T cells integrate GPCR and phospholipid signaling pathways to control directed migration. These findings have implications for therapeutically targeting TIPE proteins in human inflammatory and autoimmune diseases.

Genome-wide association study reveals HSF2, GJA1 and TRIM36 as susceptibility genes for preeclampsia: a community-based population study in Tianjin, China

ABSTRACT Background Preeclampsia (PE) mainly occurs in pregnant women and is hereditary. Several genome-wide association studies (GWAS) on Caucasian samples have reported some gene loci that are associated with preeclampsia. However, these studies have not reached consistent conclusions. No previous GWAS has examined preeclampsia in the Chinese Han population. Method This study aimed to identify common genetic variations associated with preeclampsia in the Chinese Han population through two-stage case‒control studies. The discovery cohort included 92 patients with severe preeclampsia and 187 healthy controls. The validation cohort included 52 patients with preeclampsia and 104 controls. A genome-wide association study was performed to identify putative preeclampsia genes in the discovery cohort, with validation in the validation cohort. Results In the discovery cohort, GWAS demonstrated that 19 single-nucleotide polymorphisms (SNPs) were associated with preeclampsia (P < 10−5). The pathway analysis revealed that these 19 SNP representative genes were mainly enriched in the adenylyl cyclase-inhibiting G-protein coupled receptor signaling pathway. After validation in the validation cohort, rs13176432 and rs13210237 remained closely related to preeclampsia (P<0.05). In the combined data set, the frequency of the G allele in rs13176432 was significantly higher in cases with preeclampsia than in controls (P = 5 × 10−6). The frequency of the A allele in rs13210237 was higher in the preeclampsia group (P = 8 × 10−6). The rs13210237 representative genes include HSF2 and GJA1, while the rs13176432 representative gene is TRIM36. There were no differences in genotype distribution between the early-onset and late-onset preeclampsia groups (P > 0.05). Furthermore, rs13210237 and rs13176432 were related to preeclampsia in the adjusted regression model (P < 0.000). Conclusion In this study of two independent cohorts, we found that rs13210237 and rs13176432 might be novel preeclampsia-susceptible genetic factors in the Han population in China. However, there was no association between the onset of preeclampsia and these genotypes.

GPCRs and fibroblast heterogeneity in fibroblast-associated diseases.

G protein-coupled receptors (GPCRs) are the largest and most diverse class of signaling receptors. GPCRs regulate many functions in the human body and have earned the title of "most targeted receptors". About one-third of the commercially available drugs for various diseases target the GPCRs. Fibroblasts lay the architectural skeleton of the body, and play a key role in supporting the growth, maintenance, and repair of almost all tissues by responding to the cellular cues via diverse and intricate GPCR signaling pathways. This review discusses the dynamic architecture of the GPCRs and their intertwined signaling in pathological conditions such as idiopathic pulmonary fibrosis, cardiac fibrosis, pancreatic fibrosis, hepatic fibrosis, and cancer as opposed to the GPCR signaling of fibroblasts in physiological conditions. Understanding the dynamics of GPCR signaling in fibroblasts with disease progression can help in the recognition of the complex interplay of different GPCR subtypes in fibroblast-mediated diseases. This review highlights the importance of designing and adaptation of next-generation strategies such as GPCR-omics, focused target identification, polypharmacology, and effective personalized medicine approaches to achieve better therapeutic outcomes for fibrosis and fibrosis associated malignancies.

Adipocyte G Protein-Coupled Receptors as Potential Targets for Novel Antidiabetic Drugs.

The functional state of adipocytes plays a central role in regulating numerous important metabolic functions, including energy and glucose homeostasis. While white adipocytes store excess calories as fat (triglycerides) and release free fatty acids as a fuel source in times of need, brown and beige adipocytes (so-called thermogenic adipocytes) convert chemical energy stored in substrates (e.g., fatty acids or glucose) into heat, thus promoting energy expenditure. Like all other cell types, adipocytes express many G protein-coupled receptors (GPCRs) that are linked to four major functional classes of heterotrimeric G proteins (Gs, Gi/o, Gq/11, and G12/13). During the past few years, novel experimental approaches, including the use of chemogenetic strategies, have led to a series of important new findings regarding the metabolic consequences of activating or inhibiting distinct GPCR/G protein signaling pathways in white, brown, and beige adipocytes. This novel information should guide the development of novel drugs capable of modulating the activity of specific adipocyte GPCR signaling pathways for the treatment of obesity, type 2 diabetes, and related metabolic disorders.

TIPE proteins control directional migration of human T cells via GPCR and lipid second messenger signaling

Abstract Infiltration of specific tissues by circulating leukocytes is a common pathogenic mechanism of inflammatory diseases. G-protein-coupled receptors (GPCR) are essential for sensing chemokine gradients by leukocytes during immune responses. However, how leukocytes integrate site-specific directional cues such as chemokine gradients and make directional decisions in human immune cells is largely unknown. The TNFa-induced protein 8-Like (TIPE or TNFAIP8) family proteins are newly described pilot proteins that control directional migration (chemotaxis) of leukocytes to targeted tissues in mice. Without TIPE proteins, leukocytes become directionless, but the underlying mechanism remains elusive. Using siRNA and biochemical methods, we demonstrated here that two TIPE family members, TNFAIP8 and TIPE2, synergistically controlled directional migration (chemotaxis) in human CD4 T cells: TNFAIP8, through interacting with the Ga subunit of heterotrimeric G-proteins, and TIPE2, through utilizing lipid second messenger signaling by binding to phosphatidylinositol 4,5-bisphosphate (PIP2) and phosphatidylinositol 3,4,5-triphosphate (PIP3). Using site-directed mutagenesis, we identified the region of Ga that interacts with TNFAIP8, and the amino acids of TIPE2 protein crucial for its interaction with PIP2 and PIP3. We also discovered that TIPE protein membrane translocation was dependent on PIP2. Collectively, our work describes a new mechanistic paradigm of human T cells integrating GPCR and phospholipid signaling pathways to control directional migration of human immune cells. Additionally, our findings have implications for therapeutic targeting of TIPE proteins in human inflammatory and autoimmune diseases. NIH 5R01AI136945

Mechanism of essential oil from Schizonepeta tenuifolia in treatment of depression based on network pharmacology and experimental verification

This paper aimed to explore the antidepressant effect of the essential oil from Schizonepeta tenuifolia Briq.(EOST) on the treatment of depression and its mechanism by using a combination of network pharmacology and the mouse model of lipopolysaccharide(LPS)-induced depression. The chemical components in EOST were identified using gas chromatography-mass spectrometer(GC-MS), and 12 active components were selected as the study objects. The targets related to EOST were obtained by Traditional Chinese Medicines Systems Pharmacology(TCMSP) and SwissTargetPrediction database. The targets related to depression were screened out through GeneCards, Therapeutic Target Database(TTD), and Online Mendelian Inheritance in Man(OMIM) database. The Venny 2.1 was applied to screen out the common targets of EOST and depression. The targets were imported into Cytoscape 3.7.2 to generate &quot;drug-active component-diease-target&quot; network diagram. The protein-protein interaction(PPI) network was constructed using STRING 11.5 database and Cytoscape 3.7.2, and the core targets were screened out. DAVID 6.8 database was used for Gene Ontology(GO) func-tional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis, and subsequently the enrichment results were visualized through the bioinformatics platform. The mouse model of depression was induced by intraperitoneally injecting with LPS in mice. Before modeling, mice were administrated orally with EOST. The antidepressant effect of EOST was evalua-ted by tail suspension test(TST), forced swimming test(FST), and novelty suppressed feeding test(NSFT) after modeling. The content of interleukin(IL)-1β was determined by enzyme-linked immunosorbent assay(ELISA), and the protein expression levels of IL-1β and pro IL-1β in the hippocampus were determined by Western blot. There were 12 main components and 179 targets in EOAT, of which, 116 targets were related to depression, mainly involved in neuroactive ligand-receptor interaction, calcium signaling pathway, and cyclic adenosine monophosphate(cAMP) signaling pathway. Biological processes such as synaptic signal transduction, G-protein coupled receptor signaling pathway, and chemical synaptic transmission were involved. Molecular functions such as neurotransmitter receptor activity, RNA polymerase Ⅱ transcription factor activity, and heme binding were involved. In mice experiments, the results showed that EOST at 100 mg·kg~(-1) and 50 mg·kg~(-1) significantly shortened the immobility time in TST and FST as well as the feeding latency in NSFT compared with the model group, decreased the levels of serum IL-1β and NO, and reduced the protein expression levels of IL-1β and pro IL-1β in the hippocampus. In conclusion, EOST shows a good antidepressant effect in a multi-component, multi-target, and multi-pathway manner. The mechanism may be attributed to the fact that EOST can down-regulate the protein expression levels of IL-1β and pro IL-1β, decrease the release of inflammatory factors, and reduce neuroinflammation response.

An efficient weighted network centrality approach for exploring mechanisms of action of the Ruellia herbal formula for treating rheumatoid arthritis

AimThis study outlines an efficient weighted network centrality measure approach and its application in network pharmacology for exploring mechanisms of action of the Ruellia prostrata (RP) and Ruellia bignoniiflora (RB) herbal formula for treating rheumatoid arthritis.MethodIn our proposed method we first calculated interconnectivity scores all the network targets then computed weighted centrality score for all targets to identify of major network targets based on centrality score. We apply our technology to network pharmacology by constructing herb-compound-putative target network; compound-putative targets-RA target network; and imbalance multi-level herb-compound-putative target-RA target-PPI network. We then identify the major targets in the network based on our centrality measure approach. Finally we validated the major identified network targets using the enrichment analysis and a molecular docking simulation.ResultThe results reveled our proposed weighted network centrality approach outperform classical centrality measure in identification of influential nodes in four real complex networks based on SI model simulation. Application of our approach to network pharmacology shows that 57 major targets of which 33 targets including 8 compositive compounds, 15 putative target and 10 therapeutic targets played an important role in the network and directly linked to rheumatoid arthritis. Enrichment analysis confirmed that putative targets were frequently involved in TNF, CCR5, IL-17 and G-protein coupled receptors signaling pathways which are critical in the progression of rheumatoid arthritis. The molecular docking simulation indicated four targets had significant binding affinity to major protein targets. Glyceryl diacetate-2-Oleate and Oleoyl chloride showed the best binding affinity to all targets proteins and were within Lipinski limits. ADMET prediction also confirm both compounds had no toxic effect on human hence potential lead drug compounds for treating rheumatoid arthritis.ConclusionThis study developed an efficient weighted network centrality approach as tool for identification of major network targets. Network pharmacology findings provides promising results that could lead us to design and discover of alternative drug compounds. Though our approach is a purely in silico method, clinical experiments are required to test and validate the hypotheses of our computational methods.

Layer-Wise Relevance Analysis for Motif Recognition in the Activation Pathway of the β2-Adrenergic GPCR Receptor.

G-protein-coupled receptors (GPCRs) are cell membrane proteins of relevance as therapeutic targets, and are associated to the development of treatments for illnesses such as diabetes, Alzheimer's, or even cancer. Therefore, comprehending the underlying mechanisms of the receptor functional properties is of particular interest in pharmacoproteomics and in disease therapy at large. Their interaction with ligands elicits multiple molecular rearrangements all along their structure, inducing activation pathways that distinctly influence the cell response. In this work, we studied GPCR signaling pathways from molecular dynamics simulations as they provide rich information about the dynamic nature of the receptors. We focused on studying the molecular properties of the receptors using deep-learning-based methods. In particular, we designed and trained a one-dimensional convolution neural network and illustrated its use in a classification of conformational states: active, intermediate, or inactive, of the β2-adrenergic receptor when bound to the full agonist BI-167107. Through a novel explainability-oriented investigation of the prediction results, we were able to identify and assess the contribution of individual motifs (residues) influencing a particular activation pathway. Consequently, we contribute a methodology that assists in the elucidation of the underlying mechanisms of receptor activation-deactivation.