scholarly journals Influences of Serotonin Hydrochloride on Adiponectin, Ghrelin and KiSS1 Genes Expression

2020 ◽  
Vol 9 ◽  
Author(s):  
Fariba Mahmoudi ◽  
Khadijeh Haghighat Gollo

Background: Serotonin and kisspeptin stimulates gonadotropin-releasing hormone (GnRH) and luteinizing hormone (LH) release while ghrelin and adiponectin inhibit them. In the present experimental study, the effects of central injection of serotonin were investigated on LH concentration, KiSS1, adiponectin, and ghrelin genes expression. Materials and Methods: Fifteen Wistar male rats in three groups received saline or serotonin hydrochloride via the third cerebral ventricle. Blood samples were collected via the tail vein. Serum LH concentration and relative gene expression were evaluated by radioimmunoassay and real-time polymerase chain reaction method, respectively. Results: Serotonin significantly increased the mean serum LH concentration and  KiSS1 gene expression levels compared to the saline group. Serotonin significantly decreased the mean ghrelin and adiponectin genes expression levels compared to the saline group. Conclusion: The serotonergic pathway may have stimulatory effects on hypothalamic kisspeptin synthesis, partly via inhibiting hypothalamic ghrelin and adiponectin neural activity.[GMJ.2020;9:e1767]

2020 ◽  
Vol 24 (3) ◽  
Author(s):  
Nazila Payandeh ◽  
Maghsoud Peeri ◽  
Mohammad Ali Azarbayjani ◽  
Seyed Ali Hosseini

Background: A healthy lifestyle, nutrition, and exercise can improve bone mass via several mechanisms. Objectives: This study assessed the effects of four weeks of palm pollen consumption along with resistance training on protein and gene expression levels of Runt-related transcription factor 2 (Runx2) in bone tissue of rats. Methods: Thirty-six rats were selected and assigned into six groups, including (1) training + testosterone, (2) training + palm pollen, (3) testosterone, (4) palm pollen, (5) training and (6) sham. Then, 100 mg/kg of palm pollen was prescribed five days per week. Resistance training was performed five sessions per week, and 2 mg/kg of testosterone propionate was prescribed peritoneally. Gene expression and protein levels of Runx2 were measured via the real-time PCR and Western blot methods. Results: Training had a significant effect on the increase in Runx2 protein levels (P ≤ 0.05). Training + testosterone, training + palm pollen, testosterone, and palm pollen had significant effects on gene expression and protein levels of Runx2 (P ≤ 0.05). Training + testosterone and training + palm pollen had more favorable effects on the increase of gene expression and protein levels of Runx2 than had testosterone, palm pollen, and training (P ≤ 0.05). Conclusions: Although training, palm pollen, and testosterone alone could increase the Runx2 protein levels in the bone tissue of rats, training with palm pollen and training with testosterone appeared to have more favorable effects on the increase of gene expression and protein levels of Runx2 than either alone.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 420-420
Author(s):  
Christian Flotho ◽  
Susana C. Raimondi ◽  
James R. Downing

Abstract We have demonstrated that expression profiling of leukemic blasts can accurately identify the known prognostic subtypes of ALL, including T-ALL, E2A-PBX1, TEL-AML1, MLL rearrangements, BCR-ABL, and hyperdiploid >50 chromosomes (HD>50). Interestingly, almost 70% of the genes that defined HD>50 ALL localized to chromosome 21 or X. To further explore the relationship between gene expression and chromosome dosage, we compared the expression profiles obtained using the Affymetrix U133A&B microarrays of 17 HD>50 ALLs to 78 diploid or pseudodiploid ALLs. Our analysis demonstrated that the average expression level for all genes on a chromosome could be used to predict chromosome copy numbers. Specifically, the copy number for each chromosome calculated by gene expression profiling predicted the numerical chromosomal abnormalities detected by standard cytogenetics. For chromosomes that were trisomic in HD>50 ALL, the mean chromosome-specific gene expression level was increased approximately 1.5-fold compared to that observed in diploid or pseudodiploid ALL cases. Similarly, for chromosome 21 and X, the mean chromosome-specific gene expression levels were increased approximately 2-fold, consistent with a duplication of the active X chromosome and tetrasomy of chromosome 21, a finding verified by standard cytogenetics in >90% of the HD>50 cases. These finding indicate that the aberrant gene expression levels seen in HD>50 ALL primarily reflect gene dosages. Importantly, we did not observe any clustering of aberrantly expressed genes across the duplicated chromosomes, making regional gain or loss of genomic material unlikely. Paradoxically, however, a more detailed analysis revealed a small but statistically significant number of genes on the trisomic/tetrasomic chromosomes whose expression levels were markedly reduced when compared to that seen in diploid or pseudodiploid leukemic samples. Using the Statistical Analysis of Microarrays (SAM) algorithm we identified 20 genes whose expression was reduced >2-fold despite having an increase in copy number. Interestingly, included within this group are several known tumor suppressors, including AKAP12, which is specifically silenced by methylation in fos-transformed cells, and IGF2R and IGFBP7, negative regulators of insulin-like growth factor signaling. In addition to the silencing of a small subset of genes, we also identified 21 genes on these chromosomes whose expression levels were markedly higher (>3-fold) than would be predicted solely based on copy number. Although the mechanism responsible for their increased expression remains unknown, included in this group are four genes involved in signal transduction (IL3RA, IL13RA1, SNX9, and GASP) and a novel cytokine, C17, whose expression is normally limited to CD34+ hematopoietic progenitors. Taken together, these data suggest that aberrant growth in HD>50 ALL is in part driven by increased expression of a large number of genes secondary to chromosome duplications, coupled with a further enhanced expression of a limited number of growth promoting genes, and the specific silencing of a small subset of negative growth regulatory genes. Understanding the mechanisms responsible for the non-dosage related changes in gene expression should provide important insights into the pathology of HD>50 ALL.


2020 ◽  
Vol 15 ◽  
Author(s):  
Shangyuan Ye ◽  
Ye Liang ◽  
Bo Zhang

Objective: As a result of the development of microarray technologies, gene expression levels of thousands of genes involved in a given biological process can be measured simultaneously, and it is important to study their temporal behavior to understand their mechanisms. Since the dependence between gene expression levels over time for a given gene is often too complicated to model parametrically, sparse functional data analysis has received an increasing amount of attention for analyzing such data. Methods: We propose a new functional mixed-effects model for analyzing time-course gene expression data. Specifically, the model groups individual functions with heterogeneous smoothness. The proposed method utilizes the mixed-effects model representation of penalized splines for both the mean function and the individual functions. Given noninformative or weakly informative priors, Bayesian inference on the proposed models was developed, and Bayesian computation was implemented by using Markov chain Monte Carlo methods. Results: The performance of our new model was studied by two simulation studies and illustrated using a yeast cell cycle gene expression dataset. Simulation results suggest that our proposed methods can outperform the previously used methods in terms of the mean integrated squared error. The yeast gene expression data application suggests that the proposed model with two latent groups should be used on this dataset.


2013 ◽  
Vol 57 (3) ◽  
pp. 1415-1420 ◽  
Author(s):  
C. Vinot ◽  
L. Gavard ◽  
J. M. Tréluyer ◽  
S. Manceau ◽  
E. Courbon ◽  
...  

ABSTRACTNowadays, antiretroviral therapy is recommended during pregnancy to prevent mother-to-child transmission of HIV. However, for many antiretroviral drugs, including maraviroc, a CCR5 antagonist, very little data exist regarding placental transfer. Besides, various factors may modulate this transfer, including efflux transporters belonging to the ATP-binding cassette (ABC) transporter superfamily. We investigated maraviroc placental transfer and the influence of ABC transporter expression on this transfer using the human cotyledon perfusion model. Term placentas were perfusedex vivofor 90 min with maraviroc (600 ng/ml) either in the maternal-to-fetal (n= 10 placentas) or fetal-to-maternal (n= 6 placentas) direction. Plasma concentrations were determined by ultra performance liquid chromatography coupled with tandem mass spectrometry (UPLC-MS/MS). Fetal transfer rates (FTR) and clearance indexes (CLI) were calculated as ratios of fetal to maternal concentrations at steady state (mean values between 30 and 90 min) and ratios of FTR of maraviroc to that of antipyrine, respectively. ABC transporter gene expression levels were determined by quantitative reverse transcription (RT)-PCR and ABCB1 protein expression by Western blotting. For the maternal-to-fetal direction, the mean FTR and CLI were 8.0% ± 3.0 and 0.26 ± 0.07, respectively, whereas the mean CLI was 0.52 ± 0.23 for the fetal-to-maternal direction. We showed a significant inverse correlation between maraviroc CLI andABCC2,ABCC10, andABCC11placental gene expression levels (P< 0.05). To conclude, we report a low maraviroc placental transfer probably involving ABC efflux transporters and thus in all likelihood associated with a limited fetal exposition. Nevertheless, these results would need to be supported byin vivodata obtained from paired maternal and cord blood samples.


2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Behnoush Ghadery ◽  
Farshad Ghazalian ◽  
Seyed Ali Hosseini ◽  
Hossein Abed Natanzy ◽  
Alireza Shamsoddini

Background: Nowadays, obesity can affect heart function and induced atherosclerosis, high blood pressure, and heart arrhythmia, which has become a major problem for global health. Objectives: The present study aimed to review the effect of six weeks of high-intensity interval training (HIIT) on gene expression levels of PGC-1α and eNOS in the heart tissue of obese male rats. Methods: In this experimental study, 14 high-fat diet (HFD)-induced obese rats were divided into two groups of control and training. Also, 7 rats were placed in a non-obese control group to investigate the effects of obesity on research variables. During six weeks, rats in the training group performed HIIT three days per week. After six weeks, all rats were sacrificed, and their heart tissue was removed to measure the PGC-1α and eNOS gene expression. We used one-way ANOVA with Tukey’s post hoc tests (P ≤ 0.05) for statistical analysis. Results: HFD significantly decreased PGC-1α (P = 0.04) and eNOS (P = 0.001) gene expression, but HIIT significantly increased PGC-1α (P = 001) and eNOS (P = 0.001) gene expression. Conclusions: HIIT seems to improve cardiac gene expression levels of PGC-1α and eNOS of male obese rats.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 5181-5181
Author(s):  
Xiuli Wu ◽  
Qifa Liu ◽  
Can Liu ◽  
Zhiping Fan ◽  
Li Xuan ◽  
...  

Abstract Abstract 5181 Objective Hematopoietic stem cell transplantation (HSCT) is a common therapeutic option for leukemia, but its use is limited by mortality due to graft-versus-host-disease (GVHD). Naturally occurring regulatory T cells (Tregs) are mediators of immunologic tolerance that attenuate GVHD in experimental models. Tregs were first defined by a CD4+CD25+ phenotype, but subsequent studies identified forkhead box protein 3 (FoxP3) as a highly specific marker in both mouse and human T cells with regulatory function. GATA-3 is a member of the GATA family of transcription factors, and is sufficient to induce a Th2 phenotype. GATA-3 could act as an inhibitor of FoxP3 expression in early T cell differentiation was found in transgenic mice model recently. But whether GATA-3 expression could correlate with GVHD incidence, or whether GATA-3 could influence Tregs recovery and contribute to the development of GVHD are still not clear. So we investigated the frequency of Tregs in the early period after HSCT and at the time of GVHD onset, and quantitatively measured the expression of GATA-3 and FoxP3 at GVHD onset for analyzing the correlation to the development of GVHD. Methods Sixty-seven leukemia patients underwent allogenic (allo-) HSCT were enrolled in this investigation, including 45 males and 22 females (median age: 32.3 years, range 21≂f45). Fourteen healthy individuals (7 males and 7 females, median age: 30.3 years, range 26≂f40) served as controls. Frequencies of T lymphocyte subsets were determined by flow cytometry. The expression levels of human FoxP3 and GATA-3 genes were determined by real-time quantitative PCR with SYBR Green I technique. Results The frequencies of CD4+ CD25+ T cells were lower at week 4 post-HSCT, but significant higher after week 4 and lower again after week 8 (P=0.000). The frequencies of FoxP3+ T cells were also lower at week 4 and remained low levels within 12 weeks after HSCT. As early as 4 to 8 weeks after HSCT, the frequencies of CD4+ FoxP3+ T cells were lower than that of week 4 (P=0.048), but the frequencies of CD25+ FoxP3+ T cells were higher than that of week 4 (P=0.022). Frequencies of CD4+ CD25+ cells in patients at GVHD onset were similar in patients without GVHD (P=0.262) or healthy individuals (P=0.166). But the frequencies of FoxP3+ cells, FoxP3+ CD25+ cells and FoxP3+ CD4+ cells in patients at GVHD onset were significantly lower than that in patients without GVHD (P=0.000, 0.004, and 0.001). The FoxP3 gene expression levels in patients at GVHD onset were significantly lower than that in patients without GVHD (P=0.044), but the GATA-3 gene expression levels were significantly higher in patients at GVHD onset compared to patients without GVHD (P=0.005). The FoxP3 gene expression levels in patients at aGVHD onset were significantly higher than that in patients at cGVHD onset (P=0.038), but the GATA-3 gene expression levels were significantly lower in patients at aGVHD onset compared to patients at cGVHD onset (P=0.004). A highly significant correlation between FoxP3 and GATA-3 genes expression levels existed in healthy individuals (Spearman correlation coefficient r=-0.893, P=0.007). Correlations between FoxP3 and GATA-3 genes expression levels were also significant in patients at aGVHD onset (Pearson correlation coefficient r=0.749, P=0.020) or cGVHD onset (Pearson correlation coefficient r=0.538, P=0.071) or in GVHD (Spearman correlation coefficient r=0.370, P=0.090). But there is no significant correlation between FoxP3 and GATA-3 genes expression levels in patients without GVHD (Pearson correlation coefficient r=-0.141, P=0.821). Conclusions GATA-3 and FoxP3 genes expression and the frequency of Tregs are correlated with GVHD following allogeneic HSCT. GATA-3 can influence the expression of FoxP3 in the development of GVHD. Supported by National Natural Science Foundation of China(30971300), Science and Technology Planning Project of Guangdong Province of China (2009A030200007) and China Postdoctoral Science Foundation (200902332, 20080440776). Disclosures: No relevant conflicts of interest to declare.


2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Nonzwakazi Mnqonywa ◽  
Nathlee Abbai ◽  
Viswanath Ragupathy ◽  
Gita Ramjee ◽  
Indira Hewlett ◽  
...  

Abstract Objective The aim of this proof of concept study was to determine the effect of depot medroxyprogesterone acetate on host and viral factors in HIV infected and uninfected women. Results In this study, the gene expression levels for CCL5, CCR5 and CXCR4 was significantly higher in HIV positive women when compared to HIV negative women (p < 0.05). An upregulation of CCR5 and CXCR4 was evident in less than 20% of the HIV infected women and none of the HIV uninfected women. The mean fold change for CCL3 was much higher in HIV uninfected when compared to infected women with a borderline significance (p = 0.062). In HIV uninfected women, the mean fold change in CCL3, CCL4, and CCL5 gene expression was not statistically different between women on DMPA versus women not on hormonal contraception. The proportion of women with an upregulation of CCL4 and CCR5 was higher in HIV infected women on DMPA. There was no association between endogenous progesterone level and chemokines and the HIV-1 receptors. The gene expression levels in the chemokine receptors CCR5 and CXCR4 were significantly higher in the HIV infected women when compared to the women who remained HIV uninfected.


2020 ◽  
Vol 20 (7) ◽  
pp. 518-523
Author(s):  
Rugül Köse Çinar

Objective: Neuroserpin is a serine protease inhibitor predominantly expressed in the nervous system functioning mainly in neuronal migration and axonal growth. Neuroprotective effects of neuroserpin were shown in animal models of stroke, brain, and spinal cord injury. Postmortem studies confirmed the involvement of neuroserpin in Alzheimer’s disease. Since altered adult neurogenesis was postulated as an aetiological mechanism for bipolar disorder, the possible effect of neuroserpin gene expression in the disorder was evaluated. Methods: Neuroserpin mRNA expression levels were examined in the peripheral blood of bipolar disorder type I manic and euthymic patients and healthy controls using the polymerase chain reaction method. The sample comprised of 60 physically healthy, middle-aged men as participants who had no substance use disorder. Results: The gene expression levels of neuroserpin were found lower in the bipolar disorder patients than the healthy controls (p=0.000). The neuroserpin levels did not differ between mania and euthymia (both 96% down-regulated compared to the controls). Conclusion: Since we detected differences between the patients and the controls, not the disease states, the dysregulation in the neuroserpin gene could be interpreted as a result of the disease itself.


Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 854
Author(s):  
Yishu Wang ◽  
Lingyun Xu ◽  
Dongmei Ai

DNA methylation is an important regulator of gene expression that can influence tumor heterogeneity and shows weak and varying expression levels among different genes. Gastric cancer (GC) is a highly heterogeneous cancer of the digestive system with a high mortality rate worldwide. The heterogeneous subtypes of GC lead to different prognoses. In this study, we explored the relationships between DNA methylation and gene expression levels by introducing a sparse low-rank regression model based on a GC dataset with 375 tumor samples and 32 normal samples from The Cancer Genome Atlas database. Differences in the DNA methylation levels and sites were found to be associated with differences in the expressed genes related to GC development. Overall, 29 methylation-driven genes were found to be related to the GC subtypes, and in the prognostic model, we explored five prognoses related to the methylation sites. Finally, based on a low-rank matrix, seven subgroups were identified with different methylation statuses. These specific classifications based on DNA methylation levels may help to account for heterogeneity and aid in personalized treatments.


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