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Martin-Brevet S, Rodríguez-Herreros B, Nielsen JA, Moreau C, Modenato C, Maillard AM, Pain A, Richetin S, Jønch AE, Qureshi AY, Zürcher NR, Conus P, Chung WK, Sherr EH, Spiro JE, Kherif F, Beckmann JS, Hadjikhani N, Reymond A, Buckner RL, Draganski B, Jacquemont S, Arveiler B, Baujat G, Sloan-Béna F, Belfiore M, Bonneau D, Bouquillon S, Boute O, Brusco A, Busa T, Caberg JH, Campion D, Colombert V, Cordier MP, David A, Debray FG, Delrue MA, Doco-Fenzy M, Dunkhase-Heinl U, Edery P, Fagerberg C, Faivre L, Forzano F, Genevieve D, Gérard M, Giachino D, Guichet A, Guillin O, Héron D, Isidor B, Jacquette A, Jaillard S, Journel H, Keren B, Lacombe D, Lebon S, Le Caignec C, Lemaître MP, Lespinasse J, Mathieu-Dramart M, Mercier S, Mignot C, Missirian C, Petit F, Pilekær Sørensen K, Pinson L, Plessis G, Prieur F, Rooryck-Thambo C, Rossi M, Sanlaville D, Schlott Kristiansen B, Schluth-Bolard C, Till M, Van Haelst M, Van Maldergem L, Alupay H, Aaronson B, Ackerman S, Ankenman K, Anwar A, Atwell C, Bowe A, Beaudet AL, Benedetti M, Berg J, Berman J, Berry LN, Bibb AL, Blaskey L, Brennan J, Brewton CM, Buckner R, Bukshpun P, Burko J, Cali P, Cerban B, Chang Y, Cheong M, Chow V, Chu Z, Chudnovskaya D, Cornew L, Dale C, Dell J, Dempsey AG, Deschamps T, Earl R, Edgar J, Elgin J, Olson JE, Evans YL, Findlay A, Fischbach GD, Fisk C, Fregeau B, Gaetz B, Gaetz L, Garza S, Gerdts J, Glenn O, Gobuty SE, Golembski R, Greenup M, Heiken K, Hines K, Hinkley L, Jackson FI, Jenkins J, Jeremy RJ, Johnson K, Kanne SM, Kessler S, Khan SY, Ku M, Kuschner E, Laakman AL, Lam P, Lasala MW, Lee H, LaGuerre K, Levy S, Cavanagh AL, Llorens AV, Campe KL, Luks TL, Marco EJ, Martin S, Martin AJ, Marzano G, Masson C, McGovern KE, McNally Keehn R, Miller DT, Miller FK, Moss TJ, Murray R, Nagarajan SS, Nowell KP, Owen J, Paal AM, Packer A, Page PZ, Paul BM, Peters A, Peterson D, Poduri A, Pojman NJ, Porche K, Proud MB, Qasmieh S, Ramocki MB, Reilly B, Roberts TP, Shaw D, Sinha T, Smith-Packard B, Gallagher AS, Swarnakar V, Thieu T, Triantafallou C, Vaughan R, Wakahiro M, Wallace A, Ward T, Wenegrat J, Wolken A. Quantifying the Effects of 16p11.2 Copy Number Variants on Brain Structure: A Multisite Genetic-First Study. Biol Psychiatry 2018; 84:253-264. [PMID: 29778275 DOI: 10.1016/j.biopsych.2018.02.1176] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 02/01/2018] [Accepted: 02/24/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND 16p11.2 breakpoint 4 to 5 copy number variants (CNVs) increase the risk for developing autism spectrum disorder, schizophrenia, and language and cognitive impairment. In this multisite study, we aimed to quantify the effect of 16p11.2 CNVs on brain structure. METHODS Using voxel- and surface-based brain morphometric methods, we analyzed structural magnetic resonance imaging collected at seven sites from 78 individuals with a deletion, 71 individuals with a duplication, and 212 individuals without a CNV. RESULTS Beyond the 16p11.2-related mirror effect on global brain morphometry, we observe regional mirror differences in the insula (deletion > control > duplication). Other regions are preferentially affected by either the deletion or the duplication: the calcarine cortex and transverse temporal gyrus (deletion > control; Cohen's d > 1), the superior and middle temporal gyri (deletion < control; Cohen's d < -1), and the caudate and hippocampus (control > duplication; -0.5 > Cohen's d > -1). Measures of cognition, language, and social responsiveness and the presence of psychiatric diagnoses do not influence these results. CONCLUSIONS The global and regional effects on brain morphometry due to 16p11.2 CNVs generalize across site, computational method, age, and sex. Effect sizes on neuroimaging and cognitive traits are comparable. Findings partially overlap with results of meta-analyses performed across psychiatric disorders. However, the lack of correlation between morphometric and clinical measures suggests that CNV-associated brain changes contribute to clinical manifestations but require additional factors for the development of the disorder. These findings highlight the power of genetic risk factors as a complement to studying groups defined by behavioral criteria.
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Affiliation(s)
- Sandra Martin-Brevet
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Laboratoire de Recherche en Neuroimagerie, Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Borja Rodríguez-Herreros
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; CHU Sainte-Justine Research Center, Université de Montréal, Montréal, Quebec, Canada
| | - Jared A Nielsen
- Department of Psychology, Harvard University, Cambridge, Massachusetts; Center for Brain Science, Harvard University, Cambridge, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Clara Moreau
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, Quebec, Canada
| | - Claudia Modenato
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Laboratoire de Recherche en Neuroimagerie, Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Anne M Maillard
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Centre Cantonal Autisme, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Aurélie Pain
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Centre Cantonal Autisme, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Sonia Richetin
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Aia E Jønch
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, Quebec, Canada; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark; Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Abid Y Qureshi
- Center for Brain Science, Harvard University, Cambridge, Massachusetts; Department of Neurology, University of Kansas Medical Center, Kansas City, KS
| | - Nicole R Zürcher
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Philippe Conus
- Service of General Psychiatry, Department of Psychiatry, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | | | | | - Wendy K Chung
- Simons Foundation, New York, New York; Departments of Pediatrics and Medicine, Columbia University, New York, New York
| | - Elliott H Sherr
- Department of Neurology, Department of Pediatrics, and Weill Institute for Neurosciences, University of California, San Francisco, California
| | | | - Ferath Kherif
- Laboratoire de Recherche en Neuroimagerie, Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Jacques S Beckmann
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Nouchine Hadjikhani
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Randy L Buckner
- Department of Psychology, Harvard University, Cambridge, Massachusetts; Center for Brain Science, Harvard University, Cambridge, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bogdan Draganski
- Laboratoire de Recherche en Neuroimagerie, Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sébastien Jacquemont
- Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; CHU Sainte-Justine Research Center, Université de Montréal, Montréal, Quebec, Canada.
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Abstract
This paper deals with the effects of adsorbent resin upon kinetic process of peach juice adsorption de-coloration at different temperatures ranged from 10 °C to 50 °C. The adsorption equilibrium was quantified by means of adsorption isotherms in the range from 10 °C to 50 °C. Absorbance data at 420 nm were used to plot all the isotherms, which correlated reasonable well with the Freundlich and Langmuir isotherms. Also, the efficiency of the adsorption process was studied for different resin/juice ratios at different temperatures, from which it was observed that there was a notable improvement in efficiency as the resin content increased, while the increase in temperature was not so important in the process. The adsorption kinetics was also studied at 30 °C, for relationships of 1, 2, and 3 g resin/100g juice. A kinetic adsorption— desorption model in two simultaneous steps was proposed, where the adsorption step is considered as zero order and the desorption step as first order. This allows a global expression to be obtained that fits the experimental data appropriately to this kinetic type equation. The initial adsorption rate depended on the resin/juice relationship in such a way that the higher its value, the lower this relationship was. It was also shown that the equilibrium constant showed a similar tendency, its value being superior to the unit, which indicates that the retention stage over the resin prevails over the colored product desorption stage.
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Affiliation(s)
- A. Ibarz
- Departament de Tecnologia d'Aliments UTPV-CeRTA, Universitat
de Lleida. Avda. Rovira Roure, 191, 25198 Lleida, Spain,
| | - S. Garza
- Departament de Tecnologia d'Aliments UTPV-CeRTA, Universitat
de Lleida. Avda. Rovira Roure, 191, 25198 Lleida, Spain
| | - A. Garvín
- Departament de Tecnologia d'Aliments UTPV-CeRTA, Universitat
de Lleida. Avda. Rovira Roure, 191, 25198 Lleida, Spain
| | - J. Pagan
- Departament de Tecnologia d'Aliments UTPV-CeRTA, Universitat
de Lleida. Avda. Rovira Roure, 191, 25198 Lleida, Spain
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Johnson HJ, Rosenberg L, Choi HU, Garza S, Höök M, Neame PJ. Characterization of epiphycan, a small proteoglycan with a leucine-rich repeat core protein. J Biol Chem 1997; 272:18709-17. [PMID: 9228042 DOI: 10.1074/jbc.272.30.18709] [Citation(s) in RCA: 60] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
The epiphysis of developing bones is a cartilaginous structure that is eventually replaced by bone during skeletal maturation. We have separated a dermatan sulfate proteoglycan, epiphycan, from decorin and biglycan by using dissociative extraction of bovine fetal epiphyseal cartilage, followed by sequential ion-exchange, gel permeation, hydrophobic, and Zn2+ chelate chromatographic steps. Epiphycan is a member of the small leucine-rich proteoglycan family, contains seven leucine-rich repeats (LRRs), is related to osteoglycin (osteoinductive factor) (Bentz, H., Nathan, R. M., Rosen, D. M., Armstrong, R. M., Thompson, A. Y., Segarini, P. R., Mathews, M. C., Dasch, J., Piez, K. A., and Seyedin, S. M. (1989) J. Biol. Chem. 264, 20805-20810), and appears to be the bovine equivalent of the chick proteoglycan PG-Lb (Shinomura, T., and Kimata, K. (1992) J. Biol. Chem. 267, 1265-1270). The intact proteoglycan had a median size of approximately 133 kDa. The core protein was 46 kDa by electrophoretic analysis, had a calculated size of 34,271 Da, and had two approximately equimolar N termini (APTLES ... and ETYDAT ... ) separated by 11 amino acids. There were at least three O-linked oligosaccharides in the N-terminal region of the protein, based on blank cycles in Edman degradation and corresponding serine or threonine residues in the translated cDNA sequence. The glycosaminoglycans ranged in size from 23 to 34 kDa were more heterogeneous than those in other dermatan sulfate small leucine-rich proteoglycans and were found in the acidic N-terminal region of the protein core, N-terminal to the LRRs. A four-cysteine cluster was present at the N terminus of the LRRs, and a disulfide-bonded cysteine pair was present at the C terminus of the protein core. The seventh LRR and an N-linked oligosaccharide were between the two C-terminal cysteines. An additional potential N-glycosylation site near the C terminus did not appear to be substituted at a significant level.
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Affiliation(s)
- H J Johnson
- Center for Extracellular Matrix Biology, Albert B. Alkek Institute of Biosciences and Technology and the Department of Biochemistry and Biophysics, Texas A & M University, Houston, Texas 77030, USA
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