Mechanisms and Potential Therapy on Disrupted Blood Pressure Circadian Rhythm in Diabetes

Total Page:16

File Type:pdf, Size:1020Kb

Mechanisms and Potential Therapy on Disrupted Blood Pressure Circadian Rhythm in Diabetes University of Kentucky UKnowledge Theses and Dissertations--Pharmacology and Nutritional Sciences Pharmacology and Nutritional Sciences 2018 MECHANISMS AND POTENTIAL THERAPY ON DISRUPTED BLOOD PRESSURE CIRCADIAN RHYTHM IN DIABETES Tianfei Hou University of Kentucky, [email protected] Digital Object Identifier: https://doi.org/10.13023/etd.2018.464 Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Hou, Tianfei, "MECHANISMS AND POTENTIAL THERAPY ON DISRUPTED BLOOD PRESSURE CIRCADIAN RHYTHM IN DIABETES" (2018). Theses and Dissertations--Pharmacology and Nutritional Sciences. 26. https://uknowledge.uky.edu/pharmacol_etds/26 This Doctoral Dissertation is brought to you for free and open access by the Pharmacology and Nutritional Sciences at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Pharmacology and Nutritional Sciences by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. I agree that the document mentioned above may be made available immediately for worldwide access unless an embargo applies. I retain all other ownership rights to the copyright of my work. I also retain the right to use in future works (such as articles or books) all or part of my work. I understand that I am free to register the copyright to my work. REVIEW, APPROVAL AND ACCEPTANCE The document mentioned above has been reviewed and accepted by the student’s advisor, on behalf of the advisory committee, and by the Director of Graduate Studies (DGS), on behalf of the program; we verify that this is the final, approved version of the student’s thesis including all changes required by the advisory committee. The undersigned agree to abide by the statements above. Tianfei Hou, Student Dr. Zhenheng Guo, Major Professor Dr. Howard Glauert, Director of Graduate Studies MECHANISMS AND POTENTIAL THERAPY ON DISRUPTED BLOOD PRESSURE CIRCADIAN RHYTHM IN DIABETES DISSERTATION A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the College of Medicine at the University of Kentucky By Tianfei Hou Lexington, Kentucky Director: Dr. Zhenheng Guo, Associate Professor of Pharmacology and Nutritional Sciences Lexington, Kentucky 2018 Copyright © Tianfei Hou 2018 ABSTRACT OF DISSERTATION MECHANISMS AND POTENTIAL THERAPY ON DISRUPTED BLOOD PRESSURE CIRCADIAN RHYTHM IN DIABETES Arterial blood pressure (BP) undergoes a 24-hour oscillation that peaks in the active day and reaches a nadir at night during sleep in humans. Reduced nocturnal BP fall (also known as non-dipper) is the most common disruption of BP circadian rhythm and is associated with increased risk of untoward cardiovascular events and target organ injury. Up to 75% of diabetic patients are non-dippers. However, the mechanisms underlying diabetes associated non-dipping BP are largely unknown. To address this important question, we generated a novel diabetic db/db-mPer2Luc mouse model (db/db-mPer2Luc) that allows quantitatively measuring of mPER2 protein oscillation by real-time mPer2Luc bioluminescence monitoring in vitro and in vivo. Using this model, we demonstrated that the db/db-mPer2Luc mice have a diminished BP daily rhythm. The phase of the mPER2 daily oscillation is advanced to different extents in explanted peripheral tissues from the db/db-mPer2Luc mice relative to that in the control mice. However, no phase shift is found in the central oscillator, the suprachiasmatic nucleus (SCN). The results indicate that the desynchrony of mPER2 daily oscillation in the peripheral tissues contributes to the loss of BP daily oscillation in diabetes. Extensive research over the past decades has been focused on how the components of food (what we eat) and the amount of food (how much we eat) affect metabolic diseases. Only recently has it become appreciated that the timing of food intake (when we eat), independent of total caloric and macronutrient quality, is also critical for metabolic health. To investigate the potential effect of the timing of food intake on the BP circadian rhythm, we simultaneously monitored the BP and food intake profiles in the diabetic db/db and control mice using radiotelemetry and BioDAQ systems. We found the loss of BP daily rhythm is associated with disrupted food intake rhythm in the db/db mice. In addition, the normal BP daily rhythm is altered in the healthy mice with abnormal feeding pattern, in which the food is available only during the inactive-phase. To explore whether imposing a normal food intake pattern is able to prevent and restore the disruption of BP circadian rhythm, we conducted active-time restricted feeding (ATRF) in the db/db mice. Strikingly, ATRF completely prevents and restorers the disrupted BP daily rhythm in the db/db mice. While multiple mechanisms likely contribute to the protection of ATRF on the BP daily rhythm, we found that ATRF improves the rhythms of energy metabolism, sleep-wake cycle, BP-regulatory hormones and autonomic nervous system (ANS) in the db/db mice. To further investigate the molecular mechanism by which ATRF regulates BP circadian rhythm, we determined the effect of ATRF on the mRNA expressions of core clock genes and clock target genes in the db/db mice. Of particular interest is that we found among all the genes we examined, the mRNA oscillation of Bmal1, a key core clock gene, is disrupted by diabetes and selectively restored by the ATRF in multiple peripheral tissues in the db/db mice. More importantly, we demonstrated that Bmal1 is partially required for ATRF to protect the BP circadian rhythm. In summary, our findings indicate that the desynchrony of peripheral clocks contributes to the abnormal BP circadian pattern in diabetes. Moreover, our studies suggest ATRF as a novel and effective chronotherapy against the disruption of BP circadian rhythm in diabetes. KEYWORDS: Diabetes, Blood pressure circadian rhythm, Clock genes, Time-restricted feeding, Sympathetic nervous system, db/db mice Tianfei Hou 12-03-2018 MECHANISMS AND POTENTIAL THERAPY ON DISRUPTED BLOOD PRESSURE CIRCADIAN RHYTHM IN DIABETES By Tianfei Hou Dr. Zhenheng Guo Director of Dissertation Dr. Howard Glauert Director of Graduate Studies 12-03-2018 ACKNOWLEDGEMENT First and foremost, I would like to thank Dr. Zhenheng Guo for being my mentor. He gave me the opportunity to work in his fabulous lab and funded me through my Ph.D. study. He guided me to think critically, to do experiments rigorously and to write scientifically. Without his support, this dissertation would not have been possible. I also would like to specifically thank Dr. Ming C. Gong for not only serving on my committee but also giving me tremendous help throughout my Ph.D. training. She was always willing to discuss about and provide suggestions on my project, to share the presentation skills with me and to help with my manuscript writing whenever I needed. A special thanks to my current lab co-worker Dr. Wen Su and my former co- workers Dr. Zhongwen Xie and Mrs. Ming Zhang. Dr. Wen Su helped perform the surgeries on my mice and taught me how to work with the mice. Dr. Zhongwen Xie guided me with the experiments of molecular biology and Mrs. Ming Zhang provided me many of the mice I used in the experiments. Also, I would like to thank other current and former lab co-workers for their kindness and support. It has been a great experience to work with them. I need to thank my other committee members, Drs. Marilyn Duncan and Lisa Cassis who gave me their time and provided their insights on my data. In addition, Dr. Marilyn Duncan also taught me a lot of the circadian field and helped editing my iii manuscript. I also need to thank Dr. David Randall for agreeing to be my outside examiner and help editing my dissertation. Finally, I must thank my parents who supported me to study abroad both financially and emotionally. I am also thankful to all my friends here who made my life outside the lab wonderful. A special thanks to my boyfriend, An Ouyang, who helped me every aspects of my life when I was busy on the Ph. D. study. iv TABLE OF CONTENTS ACKNOWLEDGEMENT ......................................................................................................... iii LIST OF TABLES ..................................................................................................................... x LIST OF FIGURES .................................................................................................................. xi CHAPTER I. INTRODUCTION ................................................................................................ 1 1.1 Diabetes ...........................................................................................................
Recommended publications
  • Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
    Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A.
    [Show full text]
  • A Genome-Wide Analysis of the ERF Gene Family in Sorghum
    A genome-wide analysis of the ERF gene family in sorghum H.W. Yan, L. Hong, Y.Q. Zhou, H.Y. Jiang, S.W. Zhu, J. Fan and B.J. Cheng Key Laboratory of Crop Biology of Anhui Province, Anhui Agricultural University, Hefei, China Corresponding author: B.J. Cheng E-mail: [email protected] Genet. Mol. Res. 12 (2): 2038-2055 (2013) Received November 9, 2012 Accepted March 8, 2013 Published May 13, 2013 DOI http://dx.doi.org/10.4238/2013.May.13.1 ABSTRACT. The ethylene response factor (ERF) family are members of the APETALA2 (AP2)/ERF transcription factor superfamily; they are known to play an important role in plant adaptation to biotic and abiotic stress. ERF genes have been studied in Arabidopsis, rice, grape, and maize; however, there are few reports of ERF genes in sorghum. We identified 105 sorghum ERF (SbERF) genes, which were categorized into 12 groups (A-1 to A-6 and B-1 to B-6) based on their sequence similarity, and this new method of classification for ERF genes was then further characterized. A comprehensive bioinformatic analysis of SbERF genes was performed using a sorghum genomic database, to analyze the phylogeny of SbERF genes, identify other conserved motifs apart from the AP2/ERF domain, map SbERF genes to the 10 sorghum chromosomes, and determine the tissue-specific expression patterns of SbERF genes. Gene clustering indicates that SbERF genes were generated by tandem duplications. Comparison of SbERF genes with maize ERF homologs suggests lateral gene transfer between monocot species. These results can contribute to our understanting of Genetics and Molecular Research 12 (2): 2038-2055 (2013) ©FUNPEC-RP www.funpecrp.com.br Analysis of the ERF gene family in sorghum 2039 the evolution of the ERF gene family.
    [Show full text]
  • University of Birmingham Obeticholic Acid for the Treatment of Primary Biliary Cirrhosis
    University of Birmingham Obeticholic acid for the treatment of primary biliary cirrhosis Trivedi, Palak J; Hirschfield, Gideon M; Gershwin, M Eric DOI: 10.1586/17512433.2015.1092381 License: None: All rights reserved Document Version Peer reviewed version Citation for published version (Harvard): Trivedi, PJ, Hirschfield, GM & Gershwin, ME 2016, 'Obeticholic acid for the treatment of primary biliary cirrhosis', Expert Review of Clinical Pharmacology, vol. 9, no. 1, pp. 13-26. https://doi.org/10.1586/17512433.2015.1092381 Link to publication on Research at Birmingham portal Publisher Rights Statement: Eligibility for repository: Checked on 29/2/2016 General rights Unless a licence is specified above, all rights (including copyright and moral rights) in this document are retained by the authors and/or the copyright holders. The express permission of the copyright holder must be obtained for any use of this material other than for purposes permitted by law. •Users may freely distribute the URL that is used to identify this publication. •Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. •User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (?) •Users may not further distribute the material nor use it for the purposes of commercial gain. Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document. When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.
    [Show full text]
  • 1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
    xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A
    [Show full text]
  • The Cis-Trans Binding Strength Defined by Motif Frequencies Facilitates Statistical Inference of Transcriptional Regulation
    Feng et al. BMC Bioinformatics 2019, 20(Suppl 7):201 https://doi.org/10.1186/s12859-019-2732-6 RESEARCH Open Access The cis-trans binding strength defined by motif frequencies facilitates statistical inference of transcriptional regulation Yance Feng1,2†, Sheng Zhang1,2†, Liang Li1,2 and Lei M. Li1,2,3* From The 12th International Conference on Computational Systems Biology (ISB 2018) Guiyang, China. 18-21 August 2018 Abstract Background: A key problem in systems biology is the determination of the regulatory mechanism corresponding to a phenotype. An empirical approach in this regard is to compare the expression profiles of cells under two conditions or tissues from two phenotypes and to unravel the underlying transcriptional regulation. We have proposed the method BASE to statistically infer the effective regulatory factors that are responsible for the gene expression differentiation with the help from the binding data between factors and genes. Usually the protein-DNA binding data are obtained by ChIP-seq experiments, which could be costly and are condition-specific. Results: Here we report a definition of binding strength based on a probability model. Using this condition-free definition, the BASE method needs only the frequencies of cis-motifs in regulatory regions, thereby the inferences can be carried out in silico. The directional regulation can be inferred by considering down- and up-regulation separately.Weshowedtheeffectivenessoftheapproachbyonecasestudy.Inthestudyoftheeffectsof polyunsaturated fatty acids (PUFA), namely, docosahexaenoic (DHA) and eicosapentaenoic (EPA) diets on mouse small intestine cells, the inferences of regulations are consistent with those reported in the literature, including PPARα and NFκB, respectively corresponding to enhanced adipogenesis and reduced inflammation.
    [Show full text]
  • Comprehensive Epigenome Characterization Reveals Diverse Transcriptional Regulation Across Human Vascular Endothelial Cells
    Nakato et al. Epigenetics & Chromatin (2019) 12:77 https://doi.org/10.1186/s13072-019-0319-0 Epigenetics & Chromatin RESEARCH Open Access Comprehensive epigenome characterization reveals diverse transcriptional regulation across human vascular endothelial cells Ryuichiro Nakato1,2† , Youichiro Wada2,3*†, Ryo Nakaki4, Genta Nagae2,4, Yuki Katou5, Shuichi Tsutsumi4, Natsu Nakajima1, Hiroshi Fukuhara6, Atsushi Iguchi7, Takahide Kohro8, Yasuharu Kanki2,3, Yutaka Saito2,9,10, Mika Kobayashi3, Akashi Izumi‑Taguchi3, Naoki Osato2,4, Kenji Tatsuno4, Asuka Kamio4, Yoko Hayashi‑Takanaka2,11, Hiromi Wada3,12, Shinzo Ohta12, Masanori Aikawa13, Hiroyuki Nakajima7, Masaki Nakamura6, Rebecca C. McGee14, Kyle W. Heppner14, Tatsuo Kawakatsu15, Michiru Genno15, Hiroshi Yanase15, Haruki Kume6, Takaaki Senbonmatsu16, Yukio Homma6, Shigeyuki Nishimura16, Toutai Mitsuyama2,9, Hiroyuki Aburatani2,4, Hiroshi Kimura2,11,17* and Katsuhiko Shirahige2,5* Abstract Background: Endothelial cells (ECs) make up the innermost layer throughout the entire vasculature. Their phe‑ notypes and physiological functions are initially regulated by developmental signals and extracellular stimuli. The underlying molecular mechanisms responsible for the diverse phenotypes of ECs from diferent organs are not well understood. Results: To characterize the transcriptomic and epigenomic landscape in the vascular system, we cataloged gene expression and active histone marks in nine types of human ECs (generating 148 genome‑wide datasets) and carried out a comprehensive analysis with chromatin interaction data. We developed a robust procedure for comparative epigenome analysis that circumvents variations at the level of the individual and technical noise derived from sample preparation under various conditions. Through this approach, we identifed 3765 EC‑specifc enhancers, some of which were associated with disease‑associated genetic variations.
    [Show full text]
  • CENTOGENE's Severe and Early Onset Disorder Gene List
    CENTOGENE’s severe and early onset disorder gene list USED IN PRENATAL WES ANALYSIS AND IDENTIFICATION OF “PATHOGENIC” AND “LIKELY PATHOGENIC” CENTOMD® VARIANTS IN NGS PRODUCTS The following gene list shows all genes assessed in prenatal WES tests or analysed for P/LP CentoMD® variants in NGS products after April 1st, 2020. For searching a single gene coverage, just use the search on www.centoportal.com AAAS, AARS1, AARS2, ABAT, ABCA12, ABCA3, ABCB11, ABCB4, ABCB7, ABCC6, ABCC8, ABCC9, ABCD1, ABCD4, ABHD12, ABHD5, ACACA, ACAD9, ACADM, ACADS, ACADVL, ACAN, ACAT1, ACE, ACO2, ACOX1, ACP5, ACSL4, ACTA1, ACTA2, ACTB, ACTG1, ACTL6B, ACTN2, ACVR2B, ACVRL1, ACY1, ADA, ADAM17, ADAMTS2, ADAMTSL2, ADAR, ADARB1, ADAT3, ADCY5, ADGRG1, ADGRG6, ADGRV1, ADK, ADNP, ADPRHL2, ADSL, AFF2, AFG3L2, AGA, AGK, AGL, AGPAT2, AGPS, AGRN, AGT, AGTPBP1, AGTR1, AGXT, AHCY, AHDC1, AHI1, AIFM1, AIMP1, AIPL1, AIRE, AK2, AKR1D1, AKT1, AKT2, AKT3, ALAD, ALDH18A1, ALDH1A3, ALDH3A2, ALDH4A1, ALDH5A1, ALDH6A1, ALDH7A1, ALDOA, ALDOB, ALG1, ALG11, ALG12, ALG13, ALG14, ALG2, ALG3, ALG6, ALG8, ALG9, ALMS1, ALOX12B, ALPL, ALS2, ALX3, ALX4, AMACR, AMER1, AMN, AMPD1, AMPD2, AMT, ANK2, ANK3, ANKH, ANKRD11, ANKS6, ANO10, ANO5, ANOS1, ANTXR1, ANTXR2, AP1B1, AP1S1, AP1S2, AP3B1, AP3B2, AP4B1, AP4E1, AP4M1, AP4S1, APC2, APTX, AR, ARCN1, ARFGEF2, ARG1, ARHGAP31, ARHGDIA, ARHGEF9, ARID1A, ARID1B, ARID2, ARL13B, ARL3, ARL6, ARL6IP1, ARMC4, ARMC9, ARSA, ARSB, ARSL, ARV1, ARX, ASAH1, ASCC1, ASH1L, ASL, ASNS, ASPA, ASPH, ASPM, ASS1, ASXL1, ASXL2, ASXL3, ATAD3A, ATCAY, ATIC, ATL1, ATM, ATOH7,
    [Show full text]
  • SIRT1 Genetic Variation Is Related to Body Mass Index and Risk of Obesity
    Diabetes Publish Ahead of Print, published online September 9, 2009 SIRT1 gene variation, BMI, and obesity SIRT1 genetic variation is related to body mass index and risk of obesity Running title: SIRT1 gene variation, BMI, and obesity M. Carola Zillikens MD1, Joyce B.J. van Meurs PhD1, Fernando Rivadeneira MD, PhD1,2 , Najaf Amin MSc 2, Albert Hofman MD2, PhD, Ben A Oostra PhD3, Eric J.G. Sijbrands MD, PhD1, Jacqueline C.M. Witteman PhD2, Huibert A.P. Pols MD, PhD1,2 , Cornelia M. van Duijn PhD2, André G. Uitterlinden PhD1,2 1Department of Internal Medicine and 2Department of Epidemiology and 3Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands. Correspondence: M.C. Zillikens Email: [email protected] Submitted 10 April 2009 and accepted 27 August 2009. This is an uncopyedited electronic version of an article accepted for publication in Diabetes. The American Diabetes Association, publisher of Diabetes, is not responsible for any errors or omissions in this version of the manuscript or any version derived from it by third parties. The definitive publisher-authenticated version will be available in a future issue of Diabetes in print and online at http://diabetes.diabetesjournals.org. Copyright American Diabetes Association, Inc., 2009 SIRT1 gene variation, BMI, and obesity Objective SIRT1 has pleiotropic metabolic functions. We investigated whether SIRT1 genetic variation is associated with obesity. Research design and methods In 6251 elderly subjects from the prospective, population-based Rotterdam Study (RS), three Single Nucleotide Polymorphisms (SNPs) in the SIRT1 gene were studied in relation with body mass index (BMI) and risk of obesity (BMI > 30kg/m2) and prospectively with BMI-change after 6.4 years follow-up.
    [Show full text]
  • The Complex Interplay Between MYC and the Molecular Circadian Clock in Cancer
    International Journal of Molecular Sciences Review MYC Ran Up the Clock: The Complex Interplay between MYC and the Molecular Circadian Clock in Cancer Jamison B. Burchett 1, Amelia M. Knudsen-Clark 2 and Brian J. Altman 1,3,* 1 Department of Biomedical Genetics, University of Rochester Medical Center, Rochester, NY 14642, USA; [email protected] 2 Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14642, USA; [email protected] 3 Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY 14642, USA * Correspondence: [email protected] Abstract: The MYC oncoprotein and its family members N-MYC and L-MYC are known to drive a wide variety of human cancers. Emerging evidence suggests that MYC has a bi-directional relationship with the molecular clock in cancer. The molecular clock is responsible for circadian (~24 h) rhythms in most eukaryotic cells and organisms, as a mechanism to adapt to light/dark cycles. Disruption of human circadian rhythms, such as through shift work, may serve as a risk factor for cancer, but connections with oncogenic drivers such as MYC were previously not well understood. In this review, we examine recent evidence that MYC in cancer cells can disrupt the molecular clock; and conversely, that molecular clock disruption in cancer can deregulate and elevate MYC. Since MYC and the molecular clock control many of the same processes, we then consider competition between MYC and the molecular clock in several select aspects of tumor biology, including chromatin state, global transcriptional profile, metabolic rewiring, and immune infiltrate in the tumor.
    [Show full text]
  • POSITIVE RESULT Pathogenic Variant Identified
    CENTOGENE AG Am Strande 7 • 18055 Rostock • Germany xxx Order no.: xxx Order received: xxx Sample type: blood, EDTA Sample collection date: xxx Report date: xxx Report type: Final Report Patient no.: xxx, First Name: xxx, Last Name: xxx DOB: xxx, Sex: male, Your ref.: xxx Additional report recipient(s): xxx Test(s) requested: CentoGenome® CLINICAL INFORMATION Abnormal facial shape; Abnormality of the eye; Abnormality of the musculature; Abnormality of the nervous system; Abnormality of the skeletal system; Anteverted ears; Arachnodactyly; Broad-based gait; Congenital onset; Decreased muscle mass; Global developmental delay; Hearing impairment; High, narrow palate; Hyperactive deep tendon reflexes; Joint hypermobility; Long face; Long nose; Microphthalmia; Myopathic facies; Narrow chest; Ophthalmoplegia; Protruding ear; Protruding tongue; Rod-cone dystrophy; Spasticity; Tall chin; Wide nasal bridge (Clinical information indicated above follows HPO nomenclature.) Family history: Yes. Consanguineous parents: Yes. We performed sequencing analysis focusing on the phenotype of this patient. Please see our concurrent reports xxx, and xxx.. POSITIVE RESULT Pathogenic variant identified INTERPRETATION A homozygous pathogenic variant was identified in the AHI1 gene. A genetic diagnosis of autosomal recessive Joubert syndrome type 3 is confirmed. RECOMMENDATIONS Genetic counselling is recommended. > Contact Details Tel.: +49 (0)381 80113 416 CLIA registration 99D2049715; CAP registration 8005167. Scientific use of Fax: +49 (0)381 80113 401 these results requires permission of CENTOGENE. If you would like to download your reports from our web portal, please contact us to receive [email protected] your login and password. More information is available at www.centogene.com www.centogene.com or [email protected].
    [Show full text]
  • Downloadedfrommultiple from Poplar, and We Could Identify TF Clusters That Can Resources
    Nie et al. BMC Systems Biology 2011, 5:53 http://www.biomedcentral.com/1752-0509/5/53 METHODOLOGYARTICLE Open Access TF-Cluster: A pipeline for identifying functionally coordinated transcription factors via network decomposition of the shared coexpression connectivity matrix (SCCM) Jeff Nie1†, Ron Stewart1†, Hang Zhang6, James A Thomson1,2,3,9, Fang Ruan7, Xiaoqi Cui5 and Hairong Wei4,8* Abstract Background: Identifying the key transcription factors (TFs) controlling a biological process is the first step toward a better understanding of underpinning regulatory mechanisms. However, due to the involvement of a large number of genes and complex interactions in gene regulatory networks, identifying TFs involved in a biological process remains particularly difficult. The challenges include: (1) Most eukaryotic genomes encode thousands of TFs, which are organized in gene families of various sizes and in many cases with poor sequence conservation, making it difficult to recognize TFs for a biological process; (2) Transcription usually involves several hundred genes that generate a combination of intrinsic noise from upstream signaling networks and lead to fluctuations in transcription; (3) A TF can function in different cell types or developmental stages. Currently, the methods available for identifying TFs involved in biological processes are still very scarce, and the development of novel, more powerful methods is desperately needed. Results: We developed a computational pipeline called TF-Cluster for identifying functionally coordinated TFs
    [Show full text]
  • Identification of Potential Core Genes in Sevoflurance Induced Myocardial
    Identication of Potential core genes in Sevourance induced Myocardial Energy Metabolism in Patients Undergoing Off-pump Coronary Artery Bypass Graft Surgery using Bioinformatics analysis Hua Lin ( [email protected] ) Tianjin Medical University General Hospital Airport Site Research article Keywords: sevourane, Myocardial Energy Metabolism, Off-pump Coronary Artery Bypass Graft Surgery Posted Date: November 18th, 2019 DOI: https://doi.org/10.21203/rs.2.17434/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/15 Abstract Background: Myocardial ischemia-reperfusion injury always happened after Off-pump coronary artery bypass graft(OPCABG), and this can not be avoided altogether. In this study, we tried to detect potential genes of sevourane-induced myocardial energy metabolism in patients undergoing OPCABG using bioinformatics analysis. Methods: We download and analyze the gene expression prole data from the Gene Expression Omnibus(GEO) database using bioinformatics methods. We downloded the gene expression data from the Gene Expression Omnibus(GEO) database using bioinformatics methods. Gene Ontology(GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were used to analysis the screened differentially expressed genes(DEGs). Then, we established a protein–protein interaction (PPI) network to nd hub genes associated with myocardial energy metabolism. Results: Through PPI network, we nd ten hub genes, including JUN, EGR1, ATF3, FOSB, JUNB, DUSP1, EGR2, NR4A1, BTG2, NR4A2. Conclusions: In conclusion, the proteins encoded by EGR1ATF3c-FosBtg2JunBDUSP1NR4A1BTG2 and NR4A2 were related to cardiac function. ATF3, FOSB, JUNB, DUSP1, NR4A1, NR4A2 are related to apoptosis of cardiomyocytes. The protein encoded by BTG2 is related to hypertrophy.
    [Show full text]