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Nuclear receptor ROR-alpha (Nuclear receptor RZR-alpha) (Nuclear receptor subfamily 1 group F member 1) (RAR-related orphan receptor A) (Retinoid-related orphan receptor-alpha) [NR1F1] [RZRA] ==Publications== {{medline-entry |title=Novel molecular mechanisms for the adaptogenic effects of herbal extracts on isolated brain cells using systems biology. |pubmed-url=https://pubmed.ncbi.nlm.nih.gov/30466987 |abstract=Adaptogens are natural compounds or plant extracts that increase adaptability and survival of organisms under stress. Adaptogens stimulate cellular and organismal defense systems by activating intracellular and extracellular signaling pathways and expression of stress-activated proteins and neuropeptides. The effects adaptogens on mediators of adaptive stress response and longevity signaling pathways have been reported, but their stress-protective mechanisms are still not fully understood. The aim of this study was to identify key molecular mechanisms of adaptogenic plants traditionally used to treat stress and aging-related disorders, i.e., Rhodiola rosea, Eleutherococcus senticosus, Withania somnifera, Rhaponticum carthamoides, and Bryonia alba. To investigate the underlying molecular mechanisms of adaptogens, we conducted RNA sequencing to profile gene expression alterations in T98G neuroglia cells upon treatment of adaptogens and analyzed the relevance of deregulated genes to adaptive stress-response signaling pathways using in silico pathway analysis software. At least 88 of the 3516 genes regulated by adaptogens were closely associated with adaptive stress response and adaptive stress-response signaling pathways (ASRSPs), including neuronal signaling related to corticotropin-releasing hormone, cAMP-mediated, protein kinase A, and CREB; pathways related to signaling involving [[CXCR4]], melatonin, nitric oxide synthase, [[GP6]], Gαs, MAPK, neuroinflammation, neuropathic pain, opioids, renin-angiotensin, AMPK, calcium, and synapses; and pathways associated with dendritic cell maturation and G-coupled protein receptor-mediated nutrient sensing in enteroendocrine cells. All samples tested showed significant effects on the expression of genes encoding neurohormones [[CRH]], GNRH, [[UCN]], G-protein-coupled and other transmembrane receptors [[TLR9]], [[PRLR]], [[CHRNE]], [[GP1BA]], [[PLXNA4]], a ligand-dependent nuclear receptor [[RORA]], transmembrane channels, transcription regulators [[FOS]], [[FOXO6]], [[SCX]], [[STAT5A]], [[ZFPM2]], [[ZNF396]], [[ZNF467]], protein kinases [[MAPK10]], [[MAPK13]], [[MERTK]], [[FLT1]], [[PRKCH]], [[ROS1]], [[TTN]]), phosphatases [[PTPRD]], [[PTPRR]], peptidases, metabolic enzymes, a chaperone (HSPA6), and other proteins, all of which modulate numerous life processes, playing key roles in several canonical pathways involved in defense response and regulation of homeostasis in organisms. It is for the first time we report that the molecular mechanism of actions of melatonin and plant adaptogens are alike, all adaptogens tested activated the melatonin signaling pathway by acting through two G-protein-coupled membrane receptors MT1 and MT2 and upregulation of the ligand-specific nuclear receptor [[RORA]], which plays a role in intellectual disability, neurological disorders, retinopathy, hypertension, dyslipidemia, and cancer, which are common in aging. Furthermore, melatonin activated adaptive signaling pathways and upregulated expression of [[UCN]], [[GNRH1]], [[TLR9]], [[GP1BA]], [[PLXNA4]], [[CHRM4]], [[GPR19]], [[VIPR2]], [[RORA]], [[STAT5A]], [[ZFPM2]], [[ZNF396]], [[FLT1]], [[MAPK10]], [[MERTK]], [[PRKCH]], and [[TTN]], which were commonly regulated by all adaptogens tested. We conclude that melatonin is an adaptation hormone playing an important role in regulation of homeostasis. Adaptogens presumably worked as eustressors ("stress-vaccines") to activate the cellular adaptive system by inducing the expression of ASRSPs, which then reciprocally protected cells from damage caused by distress. Functional investigation by interactive pathways analysis demonstrated that adaptogens activated ASRSPs associated with stress-induced and aging-related disorders such as chronic inflammation, cardiovascular health, neurodegenerative cognitive impairment, metabolic disorders, and cancer. This study has elucidated the genome-wide effects of several adaptogenic herbal extracts in brain cells culture. These data highlight the consistent activation of ASRSPs by adaptogens in T98G neuroglia cells. The extracts affected many genes playing key roles in modulation of adaptive homeostasis, indicating their ability to modify gene expression to prevent stress-induced and aging-related disorders. Overall, this study provides a comprehensive look at the molecular mechanisms by which adaptogens exerts stress-protective effects. |mesh-terms=* Adaptation, Physiological * Brain * Bryonia * Cell Line, Tumor * Eleutherococcus * Glioblastoma * Humans * Leuzea * Longevity * Neuroglia * Plant Extracts * Rhodiola * Signal Transduction * Systems Biology * Withania |keywords=* Adaptogen * Melatonin * Pathway analysis * RNA sequencing * Rhodiola * Withania |full-text-url=https://sci-hub.do/10.1016/j.phymed.2018.09.204 }} {{medline-entry |title=Effects of circadian clock genes and environmental factors on cognitive aging in old adults in a Taiwanese population. |pubmed-url=https://pubmed.ncbi.nlm.nih.gov/28412756 |abstract=Previous animal studies have indicated associations between circadian clock genes and cognitive impairment . In this study, we assessed whether 11 circadian clockgenes are associated with cognitive aging independently and/or through complex interactions in an old Taiwanese population. We also analyzed the interactions between environmental factors and these genes in influencing cognitive aging. A total of 634 Taiwanese subjects aged over 60 years from the Taiwan Biobank were analyzed. Mini-Mental State Examinations (MMSE) were administered to all subjects, and MMSE scores were used to evaluate cognitive function. Our data showed associations between cognitive aging and single nucleotide polymorphisms (SNPs) in 4 key circadian clock genes, [[CLOCK]] rs3749473 (p = 0.0017), [[NPAS2]] rs17655330 (p = 0.0013), [[RORA]] rs13329238 (p = 0.0009), and [[RORB]] rs10781247 (p = 7.9 x 10-5). We also found that interactions between [[CLOCK]] rs3749473, [[NPAS2]] rs17655330, [[RORA]] rs13329238, and [[RORB]] rs10781247 affected cognitive aging (p = 0.007). Finally, we investigated the influence of interactions between [[CLOCK]] rs3749473, [[RORA]] rs13329238, and [[RORB]] rs10781247 with environmental factors such as alcohol consumption, smoking status, physical activity, and social support on cognitive aging (p = 0.002 ~ 0.01). Our study indicates that circadian clock genes such as the [[CLOCK]], [[NPAS2]], [[RORA]], and [[RORB]] genes may contribute to the risk of cognitive aging independently as well as through gene-gene and gene-environment interactions. |mesh-terms=* Aged * Asian Continental Ancestry Group * Circadian Clocks * Cognitive Aging * Environment * Female * Gene-Environment Interaction * Humans * Life Style * Male * Middle Aged * Polymorphism, Single Nucleotide * Public Health Surveillance * Taiwan |keywords=* Gerotarget * circadian clock genes * circadian rhythms * cognitive aging * gene-gene and gene-environment interactions * single nucleotide polymorphisms |full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421829 }} {{medline-entry |title=Transcriptome analysis of human cumulus cells reveals hypoxia as the main determinant of follicular senescence. |pubmed-url=https://pubmed.ncbi.nlm.nih.gov/27268410 |abstract=Can RNA sequencing of human cumulus cells (CC) reveal molecular pathways involved in the physiology of reproductive aging? Senescent but not young CC activate gene pathways associated with hypoxia and oxidative stress. Shifts in socioeconomic norms are resulting in larger numbers of women postponing childbearing. The reproductive potential is sharply decreased with aging, and the reasons are poorly understood. Since CCs play an integral role in oocyte maturation and direct access to human oocytes is limited, we used whole transcriptome analysis of these somatic cells to gain insights into the molecular mechanisms playing a role in follicular senescence. Twenty CC samples (from a total of 15 patients) were obtained from oocytes of either male factor or egg donor patients. RNA sequencing and bioinformatic tools were used to identify differentially expressed genes between CCs from seven aged and eight young patients (<35 (years old) y.o. vs >40 y.o.). Quantitative-PCR and immunoflourescent staining were used for validation. RNA sequencing identified 11 572 genes expressed in CC of both age cohorts, 45 of which were differentially expressed. In CC collected from patients >40 y.o., genes involved in the hypoxia stress response (NOS2, [[RORA]] and NR4A3), vasculature development (NR2F2, PTHLH), glycolysis (RALGAPA2 and TBC1D4) and cAMP turnover (PDE4D) were significantly overexpressed when compared with CC of patients younger than 35 y.o. This study focused almost exclusively on assessing the genetic differences in CC transcriptome between young and older women. These genetic findings were not fully correlated with embryonic development and clinical outcome. Our data provide a new hypothesis-follicular hypoxia-as the main mechanism leading to ovarian follicular senescence and suggest a link between cumulus cell aging and oocyte quality decay. If specific molecular findings of hypoxia would be confirmed also in oocytes, genetic platforms could screen CC for hypoxic damage and identify healthier oocytes. Protocols of ovarian stimulation in older patients could also be adjusted to diminish oocyte exposure time to hypoxic follicles. GEO accession number: GSE81579 STUDY FUNDING AND COMPETING INTERESTS: Funded in part by [[EMD]] Serono Grant for Fertility Innovation (GFI). |mesh-terms=* Adult * Cell Hypoxia * Cumulus Cells * Female * Gene Expression Profiling * Humans * Oocytes * Ovarian Follicle * Ovulation Induction * Pregnancy * Sequence Analysis, RNA * Transcriptome |keywords=* RNA sequencing * WGCNA * cumulus cells transcriptome * oocyte senescence |full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986421 }}
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