ALBERT

Description: Matrix metalloproteinases (MMPs) are implicated in the pathogenesis of neurodegenerative diseases and stroke. However, the mechanism of MMP activation remains unclear. We report that MMP activation involves S-nitrosylation. During cerebral ischemia in vivo, MMP-9 colocalized with neuronal nitric oxide synthase. S-Nitrosylation activated MMP-9 in vitro and induced neuronal apoptosis. Mass spectrometry identified the active derivative of MMP-9, both in vitro and in vivo, as a stable sulfinic or sulfonic acid, whose formation was triggered by S-nitrosylation. These findings suggest a potential extracellular proteolysis pathway to neuronal cell death in which S-nitrosylation activates MMPs, and further oxidation results in a stable posttranslational modification with pathological activity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gu, Zezong -- Kaul, Marcus -- Yan, Boxu -- Kridel, Steven J -- Cui, Jiankun -- Strongin, Alex -- Smith, Jeffrey W -- Liddington, Robert C -- Lipton, Stuart A -- AR08505/AR/NIAMS NIH HHS/ -- P01 HD29587/HD/NICHD NIH HHS/ -- R01 AR42750/AR/NIAMS NIH HHS/ -- R01 CA 69306/CA/NCI NIH HHS/ -- R01 EY05477/EY/NEI NIH HHS/ -- R01 EY09024/EY/NEI NIH HHS/ -- R01 NS41207/NS/NINDS NIH HHS/ -- T32 AG00252/AG/NIA NIH HHS/ -- New York, N.Y. -- Science. 2002 Aug 16;297(5584):1186-90.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Neuroscience and Aging, Program in Cell Adhesion and Extracellular Matrix Biology, The Burnham Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12183632" target="_blank"〉PubMed〈/a〉

Description: A lymphocyte subpopulation, the Valpha14 natural killer T (NKT) cells, expresses both NK1.1 and a single invariant T cell receptor encoded by the Valpha14 and Jalpha281 gene segments. Mice with a deletion of the Jalpha281 gene segment were found to exclusively lack this subpopulation. The Valpha14 NKT cell-deficient mice could no longer mediate the interleukin-12 (IL-12)-induced rejection of tumors. Although the antitumor effect of IL-12 was thought to be mediated through natural killer cells and T cells, Valpha14 NKT cells were found to be an essential target of IL-12, and they mediated their cytotoxicity by an NK-like effector mechanism after activation with IL-12.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cui, J -- Shin, T -- Kawano, T -- Sato, H -- Kondo, E -- Toura, I -- Kaneko, Y -- Koseki, H -- Kanno, M -- Taniguchi, M -- New York, N.Y. -- Science. 1997 Nov 28;278(5343):1623-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Core Research for Evolutional Science and Technology (CREST) Project, Japan Science and Technology Corporation (JST), 1-8-1 Inohana, Chuo-ku, Chiba, Japan 260.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9374462" target="_blank"〉PubMed〈/a〉

Description: Natural killer T (NKT) lymphocytes express an invariant T cell antigen receptor (TCR) encoded by the Valpha14 and Jalpha281 gene segments. A glycosylceramide-containing alpha-anomeric sugar with a longer fatty acyl chain (C26) and sphingosine base (C18) was identified as a ligand for this TCR. Glycosylceramide-mediated proliferative responses of Valpha14 NKT cells were abrogated by treatment with chloroquine-concanamycin A or by monoclonal antibodies against CD1d/Vbeta8, CD40/CD40L, or B7/CTLA-4/CD28, but not by interference with the function of a transporter-associated protein. Thus, this lymphocyte shares distinct recognition systems with either T or NK cells.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kawano, T -- Cui, J -- Koezuka, Y -- Toura, I -- Kaneko, Y -- Motoki, K -- Ueno, H -- Nakagawa, R -- Sato, H -- Kondo, E -- Koseki, H -- Taniguchi, M -- New York, N.Y. -- Science. 1997 Nov 28;278(5343):1626-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉CREST (Core Research for Evolutional Science and Technology) Project, Japan Science and Technology Corporation (JST), 1-8-1 Inohana, Chuo, Chiba 260, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9374463" target="_blank"〉PubMed〈/a〉

Description: The adipose-derived hormone leptin maintains energy balance in part through central nervous system-mediated increases in sympathetic outflow that enhance fat burning. Triggering of beta-adrenergic receptors in adipocytes stimulates energy expenditure by cyclic AMP (cAMP)-dependent increases in lipolysis and fatty-acid oxidation. Although the mechanism is unclear, catecholamine signalling is thought to be disrupted in obesity, leading to the development of insulin resistance. Here we show that the cAMP response element binding (CREB) coactivator Crtc3 promotes obesity by attenuating beta-adrenergic receptor signalling in adipose tissue. Crtc3 was activated in response to catecholamine signals, when it reduced adenyl cyclase activity by upregulating the expression of Rgs2, a GTPase-activating protein that also inhibits adenyl cyclase activity. As a common human CRTC3 variant with increased transcriptional activity is associated with adiposity in two distinct Mexican-American cohorts, these results suggest that adipocyte CRTC3 may play a role in the development of obesity in humans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3025711/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3025711/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Song, Youngsup -- Altarejos, Judith -- Goodarzi, Mark O -- Inoue, Hiroshi -- Guo, Xiuqing -- Berdeaux, Rebecca -- Kim, Jeong-Ho -- Goode, Jason -- Igata, Motoyuki -- Paz, Jose C -- Hogan, Meghan F -- Singh, Pankaj K -- Goebel, Naomi -- Vera, Lili -- Miller, Nina -- Cui, Jinrui -- Jones, Michelle R -- CHARGE Consortium -- GIANT Consortium -- Chen, Yii-Der I -- Taylor, Kent D -- Hsueh, Willa A -- Rotter, Jerome I -- Montminy, Marc -- M01 RR000425-36/RR/NCRR NIH HHS/ -- M01-RR00425/RR/NCRR NIH HHS/ -- N01 HC095159/HC/NHLBI NIH HHS/ -- N01-HC95159/HC/NHLBI NIH HHS/ -- N02 HL64278/HL/NHLBI NIH HHS/ -- N02-HL64278/HL/NHLBI NIH HHS/ -- P30 DK063491/DK/NIDDK NIH HHS/ -- P30 DK063491-09/DK/NIDDK NIH HHS/ -- P30-DK063491/DK/NIDDK NIH HHS/ -- R01 DK033651/DK/NIDDK NIH HHS/ -- R01 DK049777/DK/NIDDK NIH HHS/ -- R01 DK049777-18/DK/NIDDK NIH HHS/ -- R01 DK079888/DK/NIDDK NIH HHS/ -- R01 DK079888-05/DK/NIDDK NIH HHS/ -- R01 HL071205/HL/NHLBI NIH HHS/ -- R01 HL071205-05/HL/NHLBI NIH HHS/ -- R01 HL088457/HL/NHLBI NIH HHS/ -- R01 HL088457-04/HL/NHLBI NIH HHS/ -- R01-DK049777/DK/NIDDK NIH HHS/ -- R01-DK083834/DK/NIDDK NIH HHS/ -- R01-DK79888/DK/NIDDK NIH HHS/ -- R01-HL088457/HL/NHLBI NIH HHS/ -- R01-L071205/PHS HHS/ -- R37 DK083834/DK/NIDDK NIH HHS/ -- R37 DK083834-26/DK/NIDDK NIH HHS/ -- R37 DK083834-27/DK/NIDDK NIH HHS/ -- England -- Nature. 2010 Dec 16;468(7326):933-9. doi: 10.1038/nature09564.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21164481" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lipton, Stuart A -- Li, Hao -- Zaremba, Jeffrey D -- McKercher, Scott R -- Cui, Jiankun -- Kang, Yeon-Joo -- Nie, Zhiguo -- Soussou, Walid -- Talantova, Maria -- Okamoto, Shu-Ichi -- Nakanishi, Nobuki -- New York, N.Y. -- Science. 2009 Jan 9;323(5911):208. doi: 10.1126/science.323.5911.208b.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19131610" target="_blank"〉PubMed〈/a〉

Description: A major challenge in human genetics is to devise a systematic strategy to integrate disease-associated variants with diverse genomic and biological data sets to provide insight into disease pathogenesis and guide drug discovery for complex traits such as rheumatoid arthritis (RA). Here we performed a genome-wide association study meta-analysis in a total of 〉100,000 subjects of European and Asian ancestries (29,880 RA cases and 73,758 controls), by evaluating approximately 10 million single-nucleotide polymorphisms. We discovered 42 novel RA risk loci at a genome-wide level of significance, bringing the total to 101 (refs 2 - 4). We devised an in silico pipeline using established bioinformatics methods based on functional annotation, cis-acting expression quantitative trait loci and pathway analyses--as well as novel methods based on genetic overlap with human primary immunodeficiency, haematological cancer somatic mutations and knockout mouse phenotypes--to identify 98 biological candidate genes at these 101 risk loci. We demonstrate that these genes are the targets of approved therapies for RA, and further suggest that drugs approved for other indications may be repurposed for the treatment of RA. Together, this comprehensive genetic study sheds light on fundamental genes, pathways and cell types that contribute to RA pathogenesis, and provides empirical evidence that the genetics of RA can provide important information for drug discovery.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944098/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944098/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Okada, Yukinori -- Wu, Di -- Trynka, Gosia -- Raj, Towfique -- Terao, Chikashi -- Ikari, Katsunori -- Kochi, Yuta -- Ohmura, Koichiro -- Suzuki, Akari -- Yoshida, Shinji -- Graham, Robert R -- Manoharan, Arun -- Ortmann, Ward -- Bhangale, Tushar -- Denny, Joshua C -- Carroll, Robert J -- Eyler, Anne E -- Greenberg, Jeffrey D -- Kremer, Joel M -- Pappas, Dimitrios A -- Jiang, Lei -- Yin, Jian -- Ye, Lingying -- Su, Ding-Feng -- Yang, Jian -- Xie, Gang -- Keystone, Ed -- Westra, Harm-Jan -- Esko, Tonu -- Metspalu, Andres -- Zhou, Xuezhong -- Gupta, Namrata -- Mirel, Daniel -- Stahl, Eli A -- Diogo, Dorothee -- Cui, Jing -- Liao, Katherine -- Guo, Michael H -- Myouzen, Keiko -- Kawaguchi, Takahisa -- Coenen, Marieke J H -- van Riel, Piet L C M -- van de Laar, Mart A F J -- Guchelaar, Henk-Jan -- Huizinga, Tom W J -- Dieude, Philippe -- Mariette, Xavier -- Bridges, S Louis Jr -- Zhernakova, Alexandra -- Toes, Rene E M -- Tak, Paul P -- Miceli-Richard, Corinne -- Bang, So-Young -- Lee, Hye-Soon -- Martin, Javier -- Gonzalez-Gay, Miguel A -- Rodriguez-Rodriguez, Luis -- Rantapaa-Dahlqvist, Solbritt -- Arlestig, Lisbeth -- Choi, Hyon K -- Kamatani, Yoichiro -- Galan, Pilar -- Lathrop, Mark -- RACI consortium -- GARNET consortium -- Eyre, Steve -- Bowes, John -- Barton, Anne -- de Vries, Niek -- Moreland, Larry W -- Criswell, Lindsey A -- Karlson, Elizabeth W -- Taniguchi, Atsuo -- Yamada, Ryo -- Kubo, Michiaki -- Liu, Jun S -- Bae, Sang-Cheol -- Worthington, Jane -- Padyukov, Leonid -- Klareskog, Lars -- Gregersen, Peter K -- Raychaudhuri, Soumya -- Stranger, Barbara E -- De Jager, Philip L -- Franke, Lude -- Visscher, Peter M -- Brown, Matthew A -- Yamanaka, Hisashi -- Mimori, Tsuneyo -- Takahashi, Atsushi -- Xu, Huji -- Behrens, Timothy W -- Siminovitch, Katherine A -- Momohara, Shigeki -- Matsuda, Fumihiko -- Yamamoto, Kazuhiko -- Plenge, Robert M -- 20385/Arthritis Research UK/United Kingdom -- 79321/Canadian Institutes of Health Research/Canada -- K08-KAR055688A/PHS HHS/ -- K24 AR052403/AR/NIAMS NIH HHS/ -- P60 AR047785/AR/NIAMS NIH HHS/ -- R01 AR056768/AR/NIAMS NIH HHS/ -- R01 AR057108/AR/NIAMS NIH HHS/ -- R01 AR059648/AR/NIAMS NIH HHS/ -- R01 AR063759/AR/NIAMS NIH HHS/ -- R01-AR056291/AR/NIAMS NIH HHS/ -- R01-AR056768/AR/NIAMS NIH HHS/ -- R01-AR057108/AR/NIAMS NIH HHS/ -- R01-AR059648/AR/NIAMS NIH HHS/ -- R01-AR065944/AR/NIAMS NIH HHS/ -- R01AR063759-01A1/AR/NIAMS NIH HHS/ -- R21 AR056042/AR/NIAMS NIH HHS/ -- T15 LM007450/LM/NLM NIH HHS/ -- U01 GM092691/GM/NIGMS NIH HHS/ -- U01-GM092691/GM/NIGMS NIH HHS/ -- U19 HL065962/HL/NHLBI NIH HHS/ -- England -- Nature. 2014 Feb 20;506(7488):376-81. doi: 10.1038/nature12873. Epub 2013 Dec 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. [2] Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. [3] Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA. ; 1] Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. [2] Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. [3] Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA. [4] Department of Statistics, Harvard University, Cambridge, Massachusetts 02138, USA. [5] Centre for Cancer Research, Monash Institute of Medical Research, Monash University, Clayton, Victoria 3800, Australia. ; 1] Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. [2] Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA. [3] Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA. ; 1] Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan. [2] Department of Rheumatology and Clinical immunology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan. ; Institute of Rheumatology, Tokyo Women's Medical University, Tokyo 162-0054, Japan. ; Laboratory for Autoimmune Diseases, Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan. ; Department of Rheumatology and Clinical immunology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan. ; Immunology Biomarkers Group, Genentech, South San Francisco, California 94080, USA. ; 1] Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA. [2] Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA. ; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA. ; Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA. ; New York University Hospital for Joint Diseases, New York, New York 10003, USA. ; Department of Medicine, Albany Medical Center and The Center for Rheumatology, Albany, New York 12206, USA. ; Division of Rheumatology, Department of Medicine, New York, Presbyterian Hospital, College of Physicians and Surgeons, Columbia University, New York, New York 10032, USA. ; Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai 200003, China. ; Department of Pharmacology, Second Military Medical University, Shanghai 200433, China. ; 1] University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland 4072, Australia. [2] Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia. ; 1] Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada. [2] Toronto General Research Institute, Toronto, Ontario M5G 2M9, Canada. [3] Department of Medicine, University of Toronto, Toronto, Ontario M5S 2J7, Canada. ; Department of Medicine, Mount Sinai Hospital and University of Toronto, Toronto M5S 2J7, Canada. ; Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen 9700 RB, the Netherlands. ; 1] Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA. [2] Estonian Genome Center, University of Tartu, Riia 23b, Tartu 51010, Estonia. [3] Division of Endocrinology, Children's Hospital, Boston, Massachusetts 02115, USA. ; Estonian Genome Center, University of Tartu, Riia 23b, Tartu 51010, Estonia. ; School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China. ; Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA. ; The Department of Psychiatry at Mount Sinai School of Medicine, New York, New York 10029, USA. ; 1] Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. [2] Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA. [3] Division of Endocrinology, Children's Hospital, Boston, Massachusetts 02115, USA. ; Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan. ; Department of Human Genetics, Radboud University Medical Centre, Nijmegen 6500 HB, the Netherlands. ; Department of Rheumatology, Radboud University Medical Centre, Nijmegen 6500 HB, the Netherlands. ; Department of Rheumatology and Clinical Immunology, Arthritis Center Twente, University Twente & Medisch Spectrum Twente, Enschede 7500 AE, the Netherlands. ; Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands. ; Department of Rheumatology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands. ; 1] Service de Rhumatologie et INSERM U699 Hopital Bichat Claude Bernard, Assistance Publique des Hopitaux de Paris, Paris 75018, France. [2] Universite Paris 7-Diderot, Paris 75013, France. ; Institut National de la Sante et de la Recherche Medicale (INSERM) U1012, Universite Paris-Sud, Rhumatologie, Hopitaux Universitaires Paris-Sud, Assistance Publique-Hopitaux de Paris (AP-HP), Le Kremlin Bicetre 94275, France. ; Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama 35294, USA. ; 1] Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen 9700 RB, the Netherlands. [2] Department of Rheumatology, Leiden University Medical Center, Leiden 2300 RC, the Netherlands. ; 1] AMC/University of Amsterdam, Amsterdam 1105 AZ, the Netherlands. [2] GlaxoSmithKline, Stevenage SG1 2NY, UK. [3] University of Cambridge, Cambridge CB2 1TN, UK. ; Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul 133-792, South Korea. ; Instituto de Parasitologia y Biomedicina Lopez-Neyra, CSIC, Granada 18100, Spain. ; Department of Rheumatology, Hospital Marques de Valdecilla, IFIMAV, Santander 39008, Spain. ; Hospital Clinico San Carlos, Madrid 28040, Spain. ; 1] Department of Public Health and Clinical Medicine, Umea University, Umea SE-901 87, Sweden. [2] Department of Rheumatology, Umea University, Umea SE-901 87, Sweden. ; 1] Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston 02115, Massachusetts, USA. [2] Section of Rheumatology, Boston University School of Medicine, Boston, Massachusetts 02118, USA. [3] Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, Boston, Massachusetts 02118, USA. ; Centre d'Etude du Polymorphisme Humain (CEPH), Paris 75010, France. ; Universite Paris 13 Sorbonne Paris Cite, UREN (Nutritional Epidemiology Research Unit), Inserm (U557), Inra (U1125), Cnam, Bobigny 93017, France. ; McGill University and Genome Quebec Innovation Centre, Montreal, Quebec H3A 0G1 Canada. ; 1] Arthritis Research UK Epidemiology Unit, Centre for Musculoskeletal Research, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9NT, UK. [2] National Institute for Health Research, Manchester Musculoskeletal Biomedical Research Unit, Central Manchester University Hospitals National Health Service Foundation Trust, Manchester Academic Health Sciences Centre, Manchester M13 9NT, UK. ; Arthritis Research UK Epidemiology Unit, Centre for Musculoskeletal Research, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9NT, UK. ; Department of Clinical Immunology and Rheumatology & Department of Genome Analysis, Academic Medical Center/University of Amsterdam, Amsterdam 1105 AZ, the Netherlands. ; Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. ; Rosalind Russell Medical Research Center for Arthritis, Division of Rheumatology, Department of Medicine, University of California San Francisco, San Francisco, California 94117, USA. ; Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Unit of Statistical Genetics, Center for Genomic Medicine Graduate School of Medicine Kyoto University, Kyoto 606-8507, Japan. ; Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan. ; Department of Statistics, Harvard University, Cambridge, Massachusetts 02138, USA. ; Rheumatology Unit, Department of Medicine (Solna), Karolinska Institutet, Stockholm SE-171 76, Sweden. ; The Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York 11030, USA. ; 1] Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. [2] Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. [3] Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts 02142, USA. [4] NIHR Manchester Musculoskeletal Biomedical, Research Unit, Central Manchester NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester M13 9NT, UK. ; 1] Section of Genetic Medicine, University of Chicago, Chicago, Illinois 60637, USA. [2] Institute for Genomics and Systems Biology, University of Chicago, Chicago, Illinois 60637, USA. ; University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland 4072, Australia. ; Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan. ; 1] Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan. [2] Core Research for Evolutional Science and Technology (CREST) program, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan. [3] Institut National de la Sante et de la Recherche Medicale (INSERM) Unite U852, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan. ; 1] Laboratory for Autoimmune Diseases, Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan. [2] Department of Allergy and Rheumatology, Graduate School of Medicine, the University of Tokyo, Tokyo 113-0033, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24390342" target="_blank"〉PubMed〈/a〉

Description: To identify whether muscle metaboreceptor stimulation alters baroreflex control of muscle sympathetic nerve activity (MSNA), MSNA, beat-by-beat arterial blood pressure (Finapres), and electrocardiogram were recorded in 11 healthy subjects in the supine position. Subjects performed 2 min of isometric handgrip exercise at 40% of maximal voluntary contraction followed by 2.5 min of posthandgrip muscle ischemia. During muscle ischemia, blood pressure was lowered and then raised by intravenous bolus infusions of sodium nitroprusside and phenylephrine HCl, respectively. The slope of the relationship between MSNA and diastolic blood pressure was more negative (P 〈 0.001) during posthandgrip muscle ischemia (-201.9 +/- 20.4 units. beat(-1). mmHg(-1)) when compared with control conditions (-142.7 +/- 17.3 units. beat(-1). mmHg(-1)). No significant change in the slope of the relationship between heart rate and systolic blood pressure was observed. However, both curves shifted during postexercise ischemia to accommodate the elevation in blood pressure and MSNA that occurs with this condition. These data suggest that the sensitivity of baroreflex modulation of MSNA is elevated by muscle metaboreceptor stimulation, whereas the sensitivity of baroreflex of modulate heart rate is unchanged during posthandgrip muscle ischemia.

Description: 1. Prior findings suggest that baroreflexes are capable of modulating skin blood flow, but the effects of baroreceptor loading/unloading on sweating are less clear. Therefore, this project tested the hypothesis that pharmacologically induced alterations in arterial blood pressure in heated humans would lead to baroreflex-mediated changes in both skin sympathetic nerve activity (SSNA) and sweat rate. 2. In seven subjects mean arterial blood pressure was lowered (approximately 8 mmHg) and then raised (approximately 13 mmHg) by bolus injections of sodium nitroprusside and phenylephrine, respectively. Moreover, in a separate protocol, arterial blood pressure was reduced via steady-state administration of sodium nitroprusside. In both normothermia and heat-stress conditions the following responses were monitored: sublingual and mean skin temperatures, heart rate, beat-by-beat blood pressure, skin blood flow (laser-Doppler flowmetry), local sweat rate and SSNA (microneurography from peroneal nerve). 3. Whole-body heating increased skin and sublingual temperatures, heart rate, cutaneous blood flow, sweat rate and SSNA, but did not change arterial blood pressure. Heart rate was significantly elevated (from 74 +/- 3 to 92 +/- 4 beats x min(-1); P 〈 0.001) during bolus sodium nitroprusside-induced reductions in blood pressure, and significantly reduced (from 92 +/- 4 to 68 +/- 4 beats x min(-1); P 〈 0.001) during bolus phenylephrine-induced elevations in blood pressure, thereby demonstrating normal baroreflex function in these subjects. 4. Neither SSNA nor sweat rate was altered by rapid (bolus infusion) or sustained (steady-state infusion) changes in blood pressure regardless of the thermal condition. 5. These data suggest that SSNA and sweat rate are not modulated by arterial baroreflexes in normothermic or moderately heated individuals.

Description: This paper describes methods for white matter segmentation in brain images and the generation of cortical surfaces from the segmentations. We have developed a system that allows a user to start with a brain volume, obtained by modalities such as MRI or cryosection, and constructs a complete digital representation of the cortical surface. The methodology consists of three basic components: local parametric modeling and Bayesian segmentation; surface generation and local quadratic coordinate fitting; and surface editing. Segmentations are computed by parametrically fitting known density functions to the histogram of the image using the expectation maximization algorithm [DLR77]. The parametric fits are obtained locally rather than globally over the whole volume to overcome local variations in gray levels. To represent the boundary of the gray and white matter we use triangulated meshes generated using isosurface generation algorithms [GH95]. A complete system of local parametric quadratic charts [JWM+95] is superimposed on the triangulated graph to facilitate smoothing and geodesic curve tracking. Algorithms for surface editing include extraction of the largest closed surface. Results for several macaque brains are presented comparing automated and hand surface generation. Copyright 1999 Academic Press.