Prolactin Signaling Pathway Research Articles

Identification of the biological function of miR-9 in spinal cord ischemia-reperfusion injury in rats.

Spinal cord ischemia–reperfusion injury (SCII) is still a serious problem, and the mechanism is not fully elaborated. In the rat SCII model, qRT-PCR was applied to explore the altered expression of miR-9 (miR-9a-5p) after SCII. The biological function of miR-9 and its potential target genes based on bioinformatics analysis and experiment validation in SCII were explored next. Before the surgical procedure of SCII, miR-9 mimic and inhibitor were intrathecally infused. miR-9 mimic improved neurological function. In addition, miR-9 mimic reduced blood-spinal cord barrier (BSCB) disruption, inhibited apoptosis and decreased the expression of IL-6 and IL-1β after SCII. Gene Ontology (GO) analysis demonstrated that the potential target genes of miR-9 were notably enriched in several biological processes, such as “central nervous system development”, “regulation of growth” and “response to cytokine”. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the potential target genes of miR-9 were significantly enriched in several signaling pathways, including “Notch signaling pathway”, “MAPK signaling pathway”, “Focal adhesion” and “Prolactin signaling pathway”. We further found that the protein expression of MAP2K3 and Notch2 were upregulated after SCII while miR-9 mimic reduced the increase of MAP2K3 and Notch2 protein. miR-9 mimic or MAP2K3 inhibitor reduced the release of IL-6 and IL-1β. miR-9 mimic or si-Notch2 reduced the increase of cleaved-caspase3. Moreover, MAP2K3 inhibitor and si-Notch2 reversed the effects of miR-9 inhibitor. In conclusion, overexpression of miR-9 improves neurological outcomes after SCII and might inhibit BSCB disruption, neuroinflammation, and apoptosis through MAP2K3-, or Notch2-mediated signaling pathway in SCII.

The Relationship Between Menopause and Metabolic Syndrome: Experimental and Bioinformatics Analysis.

Menopausal hormonal changes have been associated with the emergence of the metabolic syndrome (MetS) and its consequences such as type 2 diabetes (T2D) and cardiovascular diseases (CVD). The common gene signature and the associated signaling pathways of MetS, T2D, CVD and menopause status have not been widely studied. We analyzed a total of 314 women aged between 35 and 75years. The sample was divided into two groups: Group I, including women in the premenopausal period and Group II, comprising women in the post-menopausal period. The presence of MetS and its components were evaluated, as well as occurrence of T2D and CVD in both groups. We also exploited the translational bioinformatics approach to choose the common gene signatures for MetS, T2D, CVD and the menopause status. The frequency of the MetS was significantly higher in postmenopausal women than in premenopausal ones (67.1 vs. 27.2%, p < 0.001). Gene mining analysis revealed that a total of 47 genes were commonly associated with MetS, T2D, CVD and the menopausal changes. The gene enrichment analysis showed that these genes were markedly enriched in biological processes, including positive regulation of binding, positive regulation of leukocyte cell-cell adhesion, regulation of lipid localization. Furthermore, P53 signaling pathway, prolactin signaling pathway, parathyroid hormone synthesis, secretion and action were the top enriched pathways. Additionally, network analysis revealed TGFB1, SPP1, MMP2, MMP9, CCL2, IGF1, EGFR, ICAM1, TNF and IL6 as important hub genes with significant interacting partners. These hub genes identified in our study may play key role in menopausal changes and influence the risks of MetS, T2D and CVD.

Prepubertal exposure to high dose of cadmium induces hypothalamic injury through transcriptome profiling alteration and neuronal degeneration in female rats

Cadmium (Cd) is a toxic metal, which seems to be crucial during the prepubertal period. Cd can destroy the structural integrity of the blood-brain barrier (BBB) and enters into the brain. Although the brain is susceptible to neurotoxicity induced by Cd, the effects of Cd on the brain, particularly hypothalamic transcriptome, are still relatively poorly understood. Therefore, we investigated the molecular effects of Cd exposure on the hypothalamus by profiling the transcriptomic response of the hypothalamus to high dose of Cd (25 mg/kg bw/day cadmium chloride (CdCl2)) during the prepubertal period in Sprague-Dawley female rats. After sequencing and annotation, differential expression analysis revealed 1656 genes that were differentially expressed that 108 of them were classified into 37 transcription factor (TF) families. According to gene ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, these differentially expressed genes (DEGs) were involved in different biological processes and neurological disorders including Alzheimer's disease (AD), Huntington's disease (HD), and Parkinson's disease (PD), prolactin signaling pathway, PI3K/Akt signaling, and dopaminergic synapse. Five transcripts were selected for further analyses with Real-time quantitative PCR (RT-qPCR). The RT-qPCR results were mostly consistent with those from the high throughput RNA sequencing (RNA-seq). Cresyl violet staining clearly showed an increased neuronal degeneration in the dorsomedial hypothalamus (DMH) and arcuate (Arc) nuclei of the CdCl2 group. Overall, this study demonstrates that prepubertal exposure to high doses of Cd induces hypothalamic injury through transcriptome profiling alteration in female rats, which reveals the new mechanisms of pathogenesis of Cd in the hypothalamus.

Effect of Hordei Fructus Germinatus on differential gene expression in the prolactin signaling pathway in the mammary gland of lactating rats

Ethnopharmacological relevanceIn China, Hordei Fructus Germinatus (HFG) is the germinated and dried fruit of Hordeum vulgare L, which is commonly used in clinical Chinese medicine. Traditional Chinese Medicine (TCM) theory holds that HFG can be both medicinal and edible, which means that it is derived from food medicine. Raw HFG and roasted HFG are used to treat hypogalactia, hyperprolactinemia and indigestion. In recent years, the lactogenic and galactophygous effects of HFG have attracted increasing attention. Nevertheless, there is much confusion over the use of raw and processed HFG, and the mechanism of its lactogenic effect seems remains poorly understood. Aim of the studyThis study aimed to explore the lactogenic effect of raw HFG and roasted HFG on rats with overloaded lactation and to reveal the underlying molecular mechanism. Materials and methodsRaw and processed HFG water decoctions were given to overloaded lactation model rats at a dose of 1.7800 g kg−1·d−1, and the control group was given the same volume of water. The lactogenic effect of raw and processed HFG was evaluated by measuring daily lactation, body weight and pup body weight, serum PRL, E2, and GH contents after parturition, and the pathological characteristics of mammary tissue sections. cDNA microarrays can be used to screen diverse gene expression patterns and signaling pathways related to prolactin. The expression of relevant differentially expressed genes was verified by real-time PCR and western blotting. ResultsIn vivo experiments demonstrated that the raw HFG water decoction stimulated mammogenesis, accelerated the transformation of the lobular acinar system, resulted in denser mammary epithelial cells and thicker glandular ducts that were full of milk and facilitated the secretion of milk. Moreover, HFG increased PRL, E2, and GH levels, pup body weight, daily lactation and the body weight of lactating rats. Following gene chip identification, KEGG pathway enrichment analysis revealed genes that were highly related to prolactin in the prolactin signaling pathway and JAK-STAT signaling pathway, and the main differentially expressed genes were Jak2 (down), Stat5α (up), cyclin D1 (up), SOCS1 (up), CISH (down) and PRLR (up). Compared with the control group, RT-PCR results indicated that Jak2 and CISH were downregulated and that Stat5α, cyclin D1, SOCS1 and PRLR were upregulated. Western blot assays showed that PRLR, STAT5α and cyclin D1 levels in the mammary glands of the raw HFG water decoction group were significantly increased, which was consistent with the results of cDNA microarray screening. ConclusionThe present study reveals that raw HFG effectively enhances lactation in rats, possibly by influencing the prolactin/JAK-STAT signaling pathway.

Systemic elucidation on the potential bioactive compounds and hypoglycemic mechanism of Polygonum multiflorum based on network pharmacology

BackgroundDiabetes is a complex metabolic disease characterized by hyperglycemia, plaguing the whole world. However, the action mode of multi-component and multi-target for traditional Chinese medicine (TCM) could be a promising treatment of diabetes mellitus. According to the previous research, the TCM of Polygonum multiflorum (PM) showed noteworthy hypoglycemic effect. Up to now, its hypoglycemic active ingredients and mechanism of action are not yet clear. In this study, network pharmacology was employed to elucidate the potential bioactive compounds and hypoglycemic mechanism of PM.MethodsFirst, the compounds with good pharmacokinetic properties were screened from the self-established library of PM, and the targets of these compounds were predicted and collected through database. Relevant targets of diabetes were summarized by searching database. The intersection targets of compound-targets and disease-targets were obtained soon. Secondly, the interaction net between the compounds and the filtered targets was established. These key targets were enriched and analyzed by protein–protein interactions (PPI) analysis, molecular docking verification. Thirdly, the key genes were used to find the biologic pathway and explain the therapeutic mechanism by genome ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) analysis. Lastly, the part of potential bioactive compounds were under enzyme activity inhibition tests.ResultsIn this study, 29 hypoglycemic components and 63 hypoglycemic targets of PM were filtrated based on online network database. Then the component-target interaction network was constructed and five key components resveratrol, apigenin, kaempferol, quercetin and luteolin were further obtained. Sequential studies turned out, AKT1, EGFR, ESR1, PTGS2, MMP9, MAPK14, and KDR were the common key targets. Docking studies indicated that the bioactive compounds could stably bind the pockets of target proteins. There were 38 metabolic pathways, including regulation of lipolysis in adipocytes, prolactin signaling pathway, TNF signaling pathway, VEGF signaling pathway, FoxO signaling pathway, estrogen signaling pathway, linoleic acid metabolism, Rap1 signaling pathway, arachidonic acid metabolism, and osteoclast differentiation closely connected with the hypoglycemic mechanism of PM. And the enzyme activity inhibition tests showed the bioactive ingredients have great hypoglycemic activity.ConclusionIn summary, the study used systems pharmacology to elucidate the main hypoglycemic components and mechanism of PM. The work provided a scientific basis for the further hypoglycemic effect research of PM and its monomer components, but also provided a reference for the secondary development of PM.

Abstract PO-066: Computational identification of key pathway and differentially-expressed gene signatures in ovarian cancer stem cells

Abstract Many studies have demonstrated the causativeness of cancer stem cells (CSCs), which are able to self-renew, metastasize, differentiate, and resist chemotherapy. Although multiple cell surface markers have been used to identify and isolate cancer stem cells, their uncertainty makes these surface markers unreliable in identifying heterogeneous cancer stem cells. Some transcription factors have been shown to be overexpressed in CSCs residing in multiple types of cancers, and some pathways have been found to regulate CSC populations. However, since some CSCs do not express all of the identified genes, it is important to establish a panel of genes and pathways that can consistently distinguish CSCs. To determine a panel of consensus genes or pathways that can be used to recognize CSCs, we attempted to identify differentially expressed genes and enriched pathways in CSCs, which we call cancer stem cell signature. In this study, we employed two ovarian cancer RNA-seq data (GSE33874 and GSE82304) from the Gene Expression Omnibus (GEO) and considered genes with significant fold changes (|logFC|≥1). We used ComPath to identify pathways that are enriched in each of our selected RNA-seq datasets, then we developed a customized python script to reveal pathways commonly enriched in both datasets. We subsequently applied ComPath’s mapping catalog to elucidate equivalent or hierarchical relationships across common pathways from three different databases (KEGG, Reactome, and WikiPathways). In total, we identified 241 commonly upregulated genes and 96 commonly downregulated genes. We also present 30 equivalent relationships and 98 hierarchical relationships between pathways. Our results confirm several pathways that are reported to be involved in CSC regulation, such as the Wnt signaling pathway and the Hedgehog pathway. Furthermore, we also identified multiple pathways that have been previously associated with poor prognosis or high risk of ovarian cancer, such as the Prolactin signaling pathway and the coagulation cascade, indicating that these pathways may also be involved in the maintenance of ovarian cancer stem cells. We will continue to investigate ovarian CSC gene and pathway signatures by involving more RNA-seq data and pathway analysis databases. Citation Format: Renata H. Fu, Yongsheng Bai, Qi-En Wang. Computational identification of key pathway and differentially-expressed gene signatures in ovarian cancer stem cells [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PO-066.

Biomarker exploration of\xa0microRNA-203 as a promising substrate for predicting poor survival outcome in colorectal cancer

BackgroundIncreasing studies indicated that microRNA-203 (miR-203) may play an important part in the prognosis of CRC. Nevertheless, the prognostic and influential mechanism of miR-203 expression in CRC remains to be inconclusive. Accordingly, we conducted the current study to investigate the biomarker performance of miR-203 in CRC.MethodsIn the present study, we conducted an evidence synthesis of the published literatures to identify the prognostic roles of miR-203 in patients with CRC. Moreover, several bioinformatics methods were applied for exploring the biomarker roles of miR-203.ResultsIt was demonstrated that elevated miR-203 expression was clearly related to worse overall survival (HR: 1.55, 95% CI: 1.07–2.24, P = 0.021) for CRC. The gene Ontology (GO) analysis indicated that miR-203 targets were primarily involved in a series of GO items closely associated with the molecular pathogenesis of CRC. The pathway analysis exhibited the potential signal pathways of miR-203 involved in CRC including pathways in cancer, wnt pathway, prolactin signaling pathway, proteoglycans in cancer, FoxO pathway, focal adhesion and Ras pathway. By constructing a protein-protein interaction (PPI) network of the targets of miR-203, ten crucial proteins and a significant network module were retrieved and found to serve important roles in the molecular pathogenesis of CRC.ConclusionsOur results indicated that miR-203 may function as a promising biomarker to monitor CRC survival outcomes and progression. Notably, large-scale prospective cohort studies and biological experiments are required to confirm our conclusions.

Abstract 549: Characterization of Mesenchymal Stromal Cell-derived Exosomes From Patients With Improved Function Outcome After Ischemic Cardiomyopathy: A Biorepository Evaluation of the Focus-CCTRN Trial

Mesenchymal stromal cells derived from bone marrow (BM-MSCs) have been considered promisingcandidates for regenerative medicine therapies for more than 20 years, but to date cardiovascular clinicaltrials of MSC-based therapies have demonstrated only modest improvement. However, the mechanismsunderlying why some patients improve and others do not remain undefined. Although MSC survival aftertransplantation remains a challenge, several studies have reported that BM-MSC-mediated paracrineeffects and delivery of exosomes may be therapeutically relevant. We hypothesized that MSC-derivedexosomes from patients with cardiac functional improvement contain factors that promote cell survival,proliferation, and cardiac protection. Here, we compared exosomes (derived from MSCs that had beenexpanded from BM-MNCs used for autologous transplantation) from two cohorts of disease- and age-matched consented patients with ischemic cardiomyopathy enrolled in the FOCUS-CCTRN trial—thosewith improved (cohort1, n=3) or worsened (cohort2, n=3) functional outcome in three primary endpoints:left ventricular (LV) ejection fraction, LV end-systolic volume, and maximal oxygen consumption.MicroRNA-seq analysis identified 16 upregulated and 12 downregulated miRNAs in cohort 1 whencompared to cohort 2. Using DIANA-Mir Path v.3.0, we identified 3,522 experimentally validated genetargets. Gene set enrichment analysis identified enrichment for fatty acid biosynthesis and metabolism,Hippo signaling pathway, protein processing in endoplasmic reticulum, adherent junction, cell cycle,endocytosis, RNA transport and degradation, estrogen-signaling pathway, regulation of actincytoskeleton, Prolactin signaling pathway, Focal adhesion, Notch-signaling pathway, p53-signalingpathway, insulin-signaling pathway and HIF-1-signaling pathway in the targets of upregulated miRNAs.The downregulated miRNAs were related to extracellular matrix-receptor interaction, protein processingin endoplasmic reticulum, cytokine-cytokine receptor interaction and antigen processing andpresentation. Thus, the identified miRNAs differentially expressed in patients with an improved functionaloutcome that may play a role in the molecular mechanisms that underlie in cardiac repair in patients withischemic cardiac disease. Moreover, these finding indicate that not all autologous cell products may becompetent therapy candidates for cardiac repair These results warrant further investigation to confirmthe effects of the identified differences on the target genes, which could improve the prognosis and unveilnew therapeutic approaches.

Underlying Mechanism of Insulin Resistance: A Bioinformatics Analysis Based on Validated Related-Genes from Public Disease Databases.

BackgroundThe underlying mechanism of insulin resistance is complex; bioinformatics analysis is used to explore the mechanism based differential expression genes (DEGs) obtained from omics analysis. However, the expression and role of most DEGs involved in bioinformatics analysis are invalidated. This study aimed to disclose the mechanism of insulin resistance via bioinformatics analysis based on validated insulin resistance-related genes (IRRGs) collected from public disease-gene databases.Material/MethodsIRRGs were collected from 4 disease databases including NCBI-Gene, CTD, RGD, and Phenopedia. GO and KEGG analysis of IRRGs were performed by DAVID. Then, the STRING database was employed to construct a protein–protein interaction (PPI) network of IRRGs. The module analysis and hub genes identification were carried out by MCODE and cytoHubba plugin of Cytoscape based on the primary PPI network, respectively.ResultsA total of 1195 IRRGs were identified. Response to drug, hypoxia, insulin, positive regulation of transcription from RNA polymerase II promoter, cell proliferation, inflammatory response, negative regulation of apoptotic process, glucose homeostasis, cellular response to insulin stimulus, and aging were proposed as the crucial functions related to insulin resistance. Ten insulin resistance-related pathways included the pathways of insulin resistance, pathways in cancer, adipocytokine, prostate cancer, PI3K-Akt, insulin, AMPK, HIF-1, prolactin, and pancreatic cancer signaling pathway were revealed. INS, AKT1, IL-6, TP53, TNF, VEGFA, MAPK3, EGFR, EGF, and SRC were identified as the top 10 hub genes.ConclusionsThe current study presented a landscape view of possible underlying mechanism of insulin resistance by bioinformatics analysis based on validated IRRGs.

Prolactin regulates LAT1 expression via STAT5 (signal transducer and activator of transcription 5) signaling in mammary epithelial cells of dairy cows

The l-type amino acid transporter 1 (LAT1; also known as SLC7A5) is a transporter that allows the uptake of large neutral amino acids into mammalian cells. In dairy cows, LAT1 is highly expressed in lactating mammary tissues and involved in milk protein synthesis. Prolactin (PRL) has a lactogenic role and is capable of inducing milk production in ruminants. However, the relationship between PRL stimulation and LAT1 expression in dairy cow mammary gland has not been well understood. In this study, we showed that PRL stimulation increased expression of LAT1 and β-casein in mammary epithelial cells of dairy cows. The stimulatory effect of PRL on milk protein production was inhibited by LAT1-specific inhibitor or LAT1 knockdown, suggesting that PRL-induced milk protein production is involved in LAT1 expression. To determine whether the PRL signaling pathway participates in regulation of LAT1 expression, PRLR (PRL receptor) or STAT5 (signal transducer and activator of transcription 5) was knocked down by short interfering (si)RNA in mammary epithelial cells of dairy cows. Western blot results showed that knockdown of PRLR or STAT5 with siRNA markedly decreased PRL-stimulated LAT1 expression. In addition, we observed a marked increase in plasma membrane expression of LAT1 in PRL-stimulated cells compared with control cells. These observations indicated that PRL signaling can regulate LAT1 expression and activity in mammary epithelial cells of dairy cows, contributing to increased amino acid availability and milk protein synthesis in mammary gland of dairy cow.

Metabolomics analysis of the antidepressant prescription Danzhi Xiaoyao Powder in a rat model of Chronic Unpredictable Mild Stress (CUMS)

Ethnopharmacological relevanceDanzhi Xiaoyao Powder (DZXY) is a classical prescription, that has been extensively used in traditional Chinese medicine (TMC) to treat depression for many years. However, the mechanism of DZXY is still unclear. Aim of the studyThe aim was to investigate the mechanism of the antidepressant effect of DZXY on a rat model of chronic unpredictable mild stress (CUMS). Materials and methodsForty male SD (Sprague-Dawley) rats with similar open field test (OFT) results were randomLy divided into a control group (n = 10) and an experimental group (n = 30). A depression model was established in the experimental group using the CUMS method. After the CUMS model was established successfully, the rats were randomLy divided into a depression model group and a DZXY group. The DZXY group was fed DZXY, while the depression model group and control group were given an equal amount of 0.5% sodium carboxymethyl cellulose suspension. Intragastric administration was performed once daily for 14 consecutive days. Animal weight, the sugar preference test, the open field test and the forced swimming test were used to evaluate the modeling effect and the antidepressant effect of DZXY. After the experiment, the plasma of rats was collected and the changes in plasma metabolites were analyzed by UPLC/Q-TOF-MS. The UPLC/Q-TOF-MS spectra data were evaluated by pattern recognition analysis to determine the changes in endogenous metabolites in the rat plasma samples. ResultsThe results of the behavioral investigation showed that the rat model of depression was successfully replicated and that DZXY had an antidepressant effect. Using the UPLC-MS/MS metabolomics platform, partial least squares (PLS) and orthogonal partial least squares (OPLS), metabolic profile models (R2 and Q2 ≥ 0.5) of rat plasma were successfully constructed. The model could distinguish among the control group, the depression model group and the DZXY group. Finally, 38 differential metabolites were identified in the plasma. According to KEGG (http://www.kegg.jp) pathway analysis, amino acid metabolism, lipid metabolism, purine metabolism, the prolactin signaling pathway and bile secretion were enriched and represented the main metabolic pathways influenced in the plasma. ConclusionsThis study successfully established a CUMS depression model. A total of 38 differential metabolites associated with depression were identified in the plasma of rats, 24 of which were modulated by DZXY. These results suggest that DZXY can improve excitability and play an antidepressant role by regulating phenylalanine metabolism, arachidonic acid metabolism, porphyrin metabolism, D-arginine and D-ornithine metabolism, steroid hormone biosynthesis, unsaturated fatty acid biosynthesis and steroid biosynthesis.

Identification of Differentially Expressed Genes and Signaling Pathways in Placenta Tissue of Early-Onset and Late-Onset Pre-Eclamptic Pregnancies by Integrated Bioinformatics Analysis

BackgroundPre-eclampsia (PE) can be divided into 2 sub-groups: early-onset and late-onset PE. Although these sub-groups show overlapping molecular and cellular mechanisms and similar clinical manifestations, they are regarded as 2 different phenotypes with heterogeneous manifestations. The pathophysiological mechanisms underlying early-onset and late-onset PE still remain unclear. Therefore, the present study aimed to identify the key genes and pathways related to early-onset and late-onset PE, and to investigate the molecular mechanisms that are involved in gene regulation.Material/MethodsOur analysis involved the Gene Expression Series (GSE) 74341 and GSE22526 from the National Center of Biotechnology Information (NCBI) Gene Expression Omnibus Database. These 2 microarray datasets included 15 patients with early-onset PE and 15 patients with late-onset PE.ResultsOur analyses identified 15 differentially expressed genes (DEGs), including CGA, EGR1, HBB, HBA2, LEP, and LHB. Gene Ontology (GO) functional annotation showed that the biological functions of these DEGs were mainly associated with steroid biosynthetic, oxidative stress, angiogenesis, and sex differentiation. Signaling pathway analyses showed that these DEGs were mainly involved in the prolactin signaling pathway, hormone metabolism, the AMPK signaling pathway, and the FoxO signaling pathway. Protein-protein interaction (PPI) network analysis identified 4 genes with the highest degree of interaction. The hub genes for this selection of DEGS were EGR1, LEP, and HBB.ConclusionsIntegrated bioinformatic analyses provide us with a new approach to further understand the pathophysiology and molecular mechanisms underlying early-onset and late-onset PE. The DEGs identified in this study represent potential biomarkers for the early diagnosis of PE and may provide significant options the treatment of these 2 subtypes of PE.

Analysis of Astragalus Polysaccharide Intervention in Heat-Stressed Dairy Cows’ Serum Metabolomics

Simple SummaryHeat stress reduces cow growth, milk yield and reproductive performance, and results in a significant economic loss for the dairy industry. Astragalus polysaccharides (APS), one major active ingredient of astragalus, have a wide range of biological activities. The results of the study revealed that APS has a significant effect on the levels of cortisol (COR), triiodothyronine (T3) and thyroxine (T4) in dairy cows’ serum under heat stress. Moreover, twenty metabolites were identified as potential biomarkers for the diagnosis of APS in heat-stressed dairy cows, and APS regulates the energy metabolism of heat stressed dairy cows through glucose metabolism and amino acid metabolism.This experiment was conducted to investigate the effects of astragalus polysaccharides (APS) on serum metabolism of dairy cows under heat stress. Thirty healthy Holstein dairy cows were randomly divided into three groups (10 cows in each group). In the experimental group, 30 mL/d (Treatment I) and 50 mL/d (Treatment II) of APS injection were injected into the neck muscle respectively. Each stage was injected with APS for 4 days (8:00 a.m. every day) and stopped for 3 days. Serum hormone and antioxidant indexes of dairy cows were investigated. Through repeated measurement analysis of variance, the results have shown that cortisol (COR) (F = 6.982, p = 0.026), triiodothyronine (T3) (F = 10.005, p = 0.012) and thyroxine (T4) (F = 22.530, p = 0.002) at different time points were significantly different. COR showed a downward trend, T3 and T4 showed an upward trend. At each time point, different concentrations of APS have significant effects on COR (F = 30.298, p = 0.000 < 0.05), T3 (F = 18.122, p = 0.001), and T4 (F = 44.067, p = 0.000 < 0.05). However, there were no significant differences in serum insulin (INS), glucagon (GC) and heat shock protein 70 (HSP70) between different time points (p > 0.05) and at each time point (p > 0.05). Additionally, the results have also shown that there were also no significant differences in serum Superoxide dismutase (SOD), malondialdehyde (MDA) and lactate dehydrogenase (LDH) between different time points (p > 0.05) and at each time point (p > 0.05). However, the injection of APS had a significant impact on glutathione peroxidase (GSH-Px) (F = 9.421, p = 0.014) at different times, and showed a trend of rising first and then falling. At each time point, APS of different concentrations had no significant effect on GSH-Px (p > 0.05). Furthermore, we used gas chromatography–mass spectrometry (GC-MS) non-targeted metabolomics to determine the potential markers of APS for heat-stressed dairy cows. Twenty metabolites were identified as potential biomarkers for the diagnosis of APS in heat-stressed dairy cows. These substances are involved in protein digestion and absorption, glutathione metabolism, prolactin signaling pathway, aminoacyl-tRNA biosynthesis, pentose and glucuronate interconversions, and so on. Our findings suggest that APS have an effect on the serum hormones of heat-stressed dairy cows, and regulate the metabolism of heat-stressed dairy cows through glucose metabolism and amino acid metabolism pathways.

Pituitary-Derived Circular RNAs Expression and Regulatory Network Prediction During the Onset of Puberty in Landrace × Yorkshire Crossbred Pigs.

Being the center of the hypothalamus-pituitary-ovary (HPO) axis, the pituitary plays a key role in the onset of puberty. Recent studies show that circular RNAs (circRNAs) can perform as miRNA sponges to regulate development in animals. However, the function of pituitary-derived circRNAs in first estrus remains unclear in pigs. In this study, we performed a genome-wide identification and characterization of circRNAs using pituitaries from Landrace × Yorkshire crossbred pigs at three stages: pre-, in-, and post-puberty, to describe such pituitary-derived circRNAs in pigs. A total of 5148 circRNAs were found in the gilts' pituitaries, averaging 18 682 bp in genomic distance, which consisted of approximately 91% exonic, 6% intergenic, and 3% intronic circRNAs. Furthermore, 158 novel circRNAs were identified for the first time and classified as putative pituitary-specific circRNAs. Their expression levels during the onset of puberty, significantly exceeded those of the other circRNAs, and the parental genes of these putative pituitary-specific circRNAs were enriched in “ssc04917: prolactin signaling pathway,” “ssc04080: neuroactive ligand-receptor interaction,” and “ssc04728: dopaminergic synapse” pathways, all of which were consistent with pituitary functioning. Additionally, 17 differentially regulated circRNAs were found and investigated for their potential interaction with miRNAs, along with genes, by constructing a circRNA-targeted miRNA-gene network. Taken together, these results provide new insight into the circRNA-mediated timing of puberty in gilts at the pituitary level.

Study on the mechanism of two related Chinese herbs Danggui-Baishao in treating cardiovascular diseases based on network pharmacology

Objective By adopting network pharmacology to study the mechanism of the two classical Chinese herbs Danggui-Baishao in treating cardiovascular diseases. Methods By searching from TCMSP and related literature, together with the databases of TCMSP, SWISS and STITCH, potential active compounds of Danggui-Baishao were collected, while the targets for cardiovascular diseases were obtained from TTD, OMIM and DrugBank databases. Then the PPI network was screened for the major targets. The KEGG Pathway annotation analyses of major targets were performed by using the DAVID database. The ingredient-major target-key pathway network was constructed by Cytoscape. Results There were 17 compounds and 54 major targets in the ingredient-target-pathway network, as well as 10 key pathways, including inflammation-related pathway (TNF signaling pathway), pathways related to cardiovascular system (such as PI3K-Akt signaling pathway, FoxO signaling pathway, VEGF signaling pathway, Rap1 signaling pathway), prolactin signaling pathway and estrogen signaling pathway. Conclusions The study verified the characteristics of multi-components, multi-targets and integral regulation for Danggui-Baishao with the application of network pharmacology. It predicted that Dangui-Baishao couldtreat cardiovascular diseases mainly by regulating angiogenesis, inflammatory response and apoptosis. Key words: Angelica sinensis; Paeoniae radix alba; Couplet medicines; Cardiovascular diseases; Network pharmacology

Network pharmacology approach to determine active compounds and potential targets associated with the anti-abortion effects of scutellariae radix

Background: It is widely accepted that the causes and mechanisms of abortion are very complicated. In China, Scutellariae Radix (SR) (Scutellaria baicalensis Georgi) is widely used as a traditional Chinese herbal medicine with anti-abortion effects. However, the chemical components and pharmacologic profiles of SR have not been elucidated. The network pharmacology approach can provide a system-level perspective to explore the components, targets, and mechanism of herbal medicines. Thus, this approach was employed to identify the absorbable compounds, potential targets, and signaling pathways associated with SR. Materials and Methods: In this study, we used the Lipinski rule and an oral bioavailability of >30% to identify the bioactive compounds in SR. Targets of the anti-abortion activity of SR were obtained from the PharmMapper website server database. The Search Tool for the Retrieval of Interacting Genes and DAVID databases were utilized to perform protein–protein interaction analysis and pathway enrichment analysis, respectively. Finally, Cytoscape software was used to visualize the active compound–target–Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway network of SR. Results: In total, 286 chemical compounds were identified in SR; of these, 27 compounds could be absorbed into the blood, and 10 compounds that had a high docking score with their corresponding targets were determined. These potentially active compounds of SR regulated 142 targets and clearly affected 29 KEGG pathways. From these targets, a total of 11 targets, which were expressed in the breast and female reproductive system, were associated with the anti-abortion effects of SR: EGFR, HRAS, HSP90AA1, ESR1, PRKACA, SRC, GSK3B, JAK2, IGF1R, CDK2, and AR. In the KEGG pathway analysis, five pathways were related to the anti-abortion effect of SR, including the estrogen signaling pathway, the prolactin signaling pathway, progesterone-mediated oocyte maturation, and oocyte meiosis. Conclusions: The network pharmacology approach used in our study attempted to explain the mechanism of the anti-abortion effects of SR and has provided an alternative approach for the investigation of the effects of this complex compound.

A Network Pharmacology Approach to Investigate the Active Compounds and Mechanisms of Musk for Ischemic Stroke.

Objectives This study aims to study the material basis and effective mechanism of musk for ischemic stroke (IS) based on the network pharmacology approach. Methods We collected the chemical components and target gene of musk from the BATMAN-TCM analytical platform and identified ischemic stroke-related targets from the following databases: DisGeNET, NCBI-Gene, HPO, OMIM, DrugBank, and TTD. The targets of musk and IS were uploaded to the String database to construct the protein-protein interaction (PPI) network, and then, the key targets were analyzed by topological methods. At last, the function biological process and signaling pathways of key targets were carried out by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and cluster analysis by using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) server and Metascape platform. Results A total of 29 active compounds involving 1081 predicted targets were identified in musk and there were 1104 IS-related targets. And 88 key targets of musk for IS were obtained including AKT1, MAPK1/3, TP53, TNF, SRC, FOS, CASP3, JUN, NOS3, and IL1B. The GO and KEGG enrichment analysis suggested that these key targets are mainly involved in multiple pathways which participated in TNF signaling pathway, estrogen signaling pathway, prolactin signaling pathway, neurotrophin signaling pathway, T-cell receptor signaling pathway, cAMP signaling pathway, FoxO signaling pathway, and HIF1 signaling pathway. Conclusion This study revealed that the effective mechanisms of musk against IS would be associated with the regulation of apoptosis, inflammatory response, and gene transcription.

Identification of the Active Constituents and Significant Pathways of Cangfu Daotan Decoction for the Treatment of PCOS Based on Network Pharmacology.

Background Polycystic ovary syndrome (PCOS) is the most common female endocrine disease. Cangfu Daotan Decoction (CDD) can effectively relieve the clinical symptoms of PCOS patients. Methods To explore the active ingredients and related pathways of CDD for treating PCOS, a network pharmacology-based analysis was carried out. The active ingredients of CDD and their potential targets were obtained from the TCM system pharmacology analysis platform. The obtained PCOS-related genes from OMIM and GeneCards were imported to establish protein-protein interaction networks in STRING. Finally, GO analysis and significant pathway analysis were conducted with the RStudio (Bioconductor) database. Results A total of 111 active compounds were obtained from 1433 ingredients present in the CDD, related to 118 protein targets. In addition, 736 genes were found to be closely related to PCOS, of which 44 overlapped with CDD and were thus considered therapeutically relevant. Pathway enrichment analysis identified the AGE-RAGE signalling pathway in diabetic complications, endocrine resistance, the IL-17 signalling pathway, the prolactin signalling pathway, and the HIF-1 signalling pathway. Moreover, PI3K-Akt, insulin resistance, Toll-like receptor, MAPK, and AGE-RAGE were related to PCOS and treatment. Conclusions CDD can effectively improve the symptoms of PCOS, and our network pharmacological analysis lays the foundation for future clinical research.

Genome-wide characterization of cytosine-specific 5-hydroxymethylation in normal breast tissue

ABSTRACTDespite recent evidence that 5-hydroxymethylcytosine (5hmC) possesses roles in gene regulation distinct from 5-methylcytosine (5mC), relatively little is known regarding the functions of 5hmC in mammalian tissues. To address this issue, we utilized an approach combining both paired bisulfite (BS) and oxidative bisulfite (oxBS) DNA treatment, to resolve genome-wide patterns of 5hmC and 5mC in normal breast tissue from disease-free women. Although less abundant than 5mC, 5hmC was differentially distributed, and consistently enriched among breast-specific enhancers and transcriptionally active chromatin. In contrast, regulatory regions associated with transcriptional inactivity, such as heterochromatin and repressed Polycomb regions, were relatively depleted of 5hmC. Gene regions containing abundant 5hmC were significantly associated with lactate oxidation, immune cell function, and prolactin signaling pathways. Furthermore, genes containing abundant 5hmC were enriched among those actively transcribed in normal breast tissue. Finally, in independent data sets, normal breast tissue 5hmC was significantly enriched among CpG loci demonstrated to have altered methylation in pre-invasive breast cancer and invasive breast tumors. Primarily, our findings identify genomic loci containing abundant 5hmC in breast tissues and provide a genome-wide map of nucleotide-level 5hmC in normal breast tissue. Additionally, these data suggest 5hmC may participate in gene regulatory programs that are dysregulated during breast-related carcinogenesis.

Comparison of tumour and serum specific microRNA changes dissecting their role in pancreatic ductal adenocarcinoma: a meta-analysis

BackgroundPancreatic ductal adenocarcinoma (PDAC) is considered as one of the most aggressive cancers lacking efficient early detection biomarkers. Circulating miRNAs are now being considered to have potency to be used as diagnostic and prognostic biomarkers in different diseases as well as cancers. In case of cancer, a fraction of the circulating miRNAs is actually derived from the tumour tissue. This fraction would function as stable biomarker for the disease and also would contribute to the understanding of the disease development. There are not many studies exploring this aspect in pancreatic cancer and even there is not much overlap of results between existing studies.MethodsIn order to address that gap, we performed a miRNA microarray analysis to identify differentially expressed circulating miRNAs between PDAC patients and normal healthy individuals and also found two more similar datasets to perform a meta-analysis using a total of 182 PDAC patients and 170 normal, identifying a set of miRNAs significantly altered in patient serum. Next, we found five datasets studying miRNA expression profile in tumour tissues of PDAC patients as compared to normal pancreas and performed a second meta-analysis using data from a total of 183 pancreatic tumour and 47 normal pancreas to detect significantly deregulated miRNAs in pancreatic carcinoma. Comparison of these two lists and subsequent search for their target genes which were also deregulated in PDAC in inverse direction to miRNAs was done followed by investigation of their role in disease development.ResultsWe identified 21 miRNAs altered in both pancreatic tumour tissue and serum. While deciphering the functions of their target genes, we characterized key miR-Gene interactions perturbing the biological pathways. We identified important cancer related pathways, pancreas specific pathways, AGE-RAGE signaling, prolactin signaling and insulin resistance signaling pathways among the most affected ones. We also reported the possible involvement of crucial transcription factors in the process.ConclusionsOur study identified a unique meta-signature of 21 miRNAs capable of explaining pancreatic carcinogenesis and possibly holding the potential to act as biomarker for the disease detection which could be explored further.