Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Tytuł pozycji:

Nucleus accumbens cytoarchitecture predicts weight gain in children.

Tytuł:
Nucleus accumbens cytoarchitecture predicts weight gain in children.
Autorzy:
Rapuano KM; Department of Psychology, Yale University, New Haven, CT 06511.
Laurent JS; College of Nursing and Health Sciences, University of Vermont, Burlington, VT 05405.
Hagler DJ Jr; Department of Radiology, Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92093.
Hatton SN; Department of Neurosciences, University of California San Diego, La Jolla, CA 92093.
Thompson WK; Division of Biostatistics, Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA 92093.
Jernigan TL; Department of Cognitive Science, University of California San Diego, La Jolla, CA 92093.; Center for Human Development, University of California San Diego, La Jolla, CA 92093.
Dale AM; Department of Radiology, Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, CA 92093.; Department of Neurosciences, University of California San Diego, La Jolla, CA 92093.
Casey BJ; Department of Psychology, Yale University, New Haven, CT 06511.
Watts R; Department of Psychology, Yale University, New Haven, CT 06511; .
Źródło:
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2020 Oct 27; Vol. 117 (43), pp. 26977-26984. Date of Electronic Publication: 2020 Oct 12.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
Język:
English
Imprint Name(s):
Original Publication: Washington, DC : National Academy of Sciences
MeSH Terms:
Waist Circumference*
Weight Gain*
Nucleus Accumbens/*cytology
Pediatric Obesity/*etiology
Cell Count ; Child ; Diffusion Magnetic Resonance Imaging/methods ; Female ; Humans ; Male ; Nucleus Accumbens/diagnostic imaging ; Pediatric Obesity/diagnostic imaging
References:
J Neurosci. 2012 Apr 18;32(16):5549-52. (PMID: 22514316)
Int J Obes Relat Metab Disord. 2000 Nov;24(11):1453-8. (PMID: 11126342)
Am J Clin Nutr. 2000 Aug;72(2):490-5. (PMID: 10919946)
Dev Cogn Neurosci. 2016 Feb;17:128-30. (PMID: 26739434)
Pediatrics. 2009 Sep;124 Suppl 1:S23-34. (PMID: 19720664)
Proc Nutr Soc. 2006 Nov;65(4):385-92. (PMID: 17181905)
Am J Clin Nutr. 1999 Jul;70(1):123S-5S. (PMID: 10419414)
Neurosci Biobehav Rev. 2000 Jun;24(4):417-63. (PMID: 10817843)
Neuropsychopharmacology. 2013 Aug;38(9):1655-64. (PMID: 23463152)
J Leukoc Biol. 2000 Oct;68(4):437-46. (PMID: 11037963)
Dev Cogn Neurosci. 2018 Aug;32:1-3. (PMID: 29496476)
Neuropsychopharmacology. 2016 Feb;41(3):811-21. (PMID: 26171719)
Curr Diab Rep. 2016 Jul;16(7):62. (PMID: 27168062)
Curr Drug Abuse Rev. 2011 Sep;4(3):182-9. (PMID: 21999692)
Int J Obes (Lond). 2011 Jul;35(7):891-8. (PMID: 20975725)
Int J Obes Relat Metab Disord. 2001 Jul;25(7):978-83. (PMID: 11443495)
Nutr Neurosci. 2020 Jun;23(6):411-421. (PMID: 30126346)
J Pediatr Endocrinol Metab. 2006 Mar;19(3):213-21. (PMID: 16607921)
Obes Rev. 2016 Feb;17(2):95-107. (PMID: 26696565)
Neuron. 2010 Sep 9;67(5):728-34. (PMID: 20826305)
J R Soc Med. 1996 Jul;89(7):396-400. (PMID: 8774539)
Dev Cogn Neurosci. 2018 Aug;32:43-54. (PMID: 29567376)
Diabetes. 2001 Nov;50(11):2444-50. (PMID: 11679420)
Arch Dis Child. 1969 Jun;44(235):291-303. (PMID: 5785179)
Cell Rep. 2014 Dec 24;9(6):2124-38. (PMID: 25497089)
Obes Rev. 2013 Jan;14(1):2-18. (PMID: 23016694)
JAMA Pediatr. 2019 Jul 15;:. (PMID: 31305867)
Eur J Pharmacol. 2011 Jun 11;660(1):28-42. (PMID: 21295024)
J Clin Invest. 2012 Jan;122(1):153-62. (PMID: 22201683)
Vital Health Stat 11. 2002 May;(246):1-190. (PMID: 12043359)
J Hum Nutr Diet. 2010 Jun;23(3):205-11. (PMID: 20337839)
Neuropharmacology. 2015 Sep;96(Pt A):124-34. (PMID: 25582291)
ACS Chem Neurosci. 2016 Apr 20;7(4):470-83. (PMID: 26985861)
Pediatrics. 2003 Apr;111(4 Pt 1):844-50. (PMID: 12671122)
Hum Brain Mapp. 2013 Feb;34(2):327-46. (PMID: 23169482)
J Neurophysiol. 2006 Nov;96(5):2399-409. (PMID: 16885520)
Int J Obes (Lond). 2010 Oct;34(10):1494-500. (PMID: 20440296)
Ann Epidemiol. 2009 Oct;19(10):724-31. (PMID: 19596204)
Child Dev. 1987 Jun;58(3):829-41. (PMID: 3608653)
Clin Psychol Rev. 2019 Mar;68:38-53. (PMID: 30587407)
Proc Natl Acad Sci U S A. 2015 Mar 17;112(11):3463-8. (PMID: 25733901)
Science. 2008 Oct 17;322(5900):449-52. (PMID: 18927395)
Am J Physiol. 1961 Sep;201:420-8. (PMID: 13772610)
Endocrinology. 2005 Oct;146(10):4192-9. (PMID: 16002529)
Neuroimage. 2003 Aug;19(4):1709-15. (PMID: 12948725)
Pediatrics. 2008 Feb;121 Suppl 3:S208-17. (PMID: 18245513)
Neuroimage. 2019 Nov 15;202:116091. (PMID: 31415884)
Pediatrics. 2002 Oct;110(4):743-7. (PMID: 12359788)
J Cereb Blood Flow Metab. 2012 Jul;32(7):1393-415. (PMID: 22549622)
J Adolesc Health. 2006 Sep;39(3):346-52. (PMID: 16919795)
Int J Obes (Lond). 2006 Apr;30(4):590-4. (PMID: 16570087)
Lancet. 2001 Feb 3;357(9253):354-7. (PMID: 11210998)
Biol Psychiatry. 2010 Oct 15;68(8):748-54. (PMID: 20719303)
Front Syst Neurosci. 2015 Jun 15;9:90. (PMID: 26124708)
Epilepsia. 2016 Nov;57(11):1897-1906. (PMID: 27735051)
Int J Obes (Lond). 2013 Jul;37(7):943-6. (PMID: 23478429)
Nutrition. 2016 Oct;32(10):1063-7. (PMID: 27155952)
Trends Neurosci. 2003 Sep;26(9):507-13. (PMID: 12948663)
Am Psychol. 2016 Nov;71(8):670-679. (PMID: 27977239)
Proc Natl Acad Sci U S A. 2017 Jan 3;114(1):160-165. (PMID: 27994159)
Arch Dis Child. 1970 Feb;45(239):13-23. (PMID: 5440182)
Cell. 2008 Oct 3;135(1):61-73. (PMID: 18854155)
Int J Obes (Lond). 2010 Dec;34 Suppl 2:S37-43. (PMID: 21151145)
Neuron. 2006 Sep 21;51(6):811-22. (PMID: 16982425)
J Neurosci. 2010 Feb 17;30(7):2533-41. (PMID: 20164338)
J Neurosci. 2006 Jun 21;26(25):6885-92. (PMID: 16793895)
Arch Gen Psychiatry. 2012 Oct;69(10):1044-53. (PMID: 23026954)
Best Pract Res Clin Endocrinol Metab. 2005 Sep;19(3):421-40. (PMID: 16150384)
J Hypertens. 2008 Aug;26(8):1563-70. (PMID: 18622233)
Int J Eat Disord. 2003 Mar;33(2):136-42. (PMID: 12616579)
Front Neurosci. 2017 Jan 18;10:610. (PMID: 28149269)
PLoS One. 2011;6(9):e25537. (PMID: 21966540)
Dev Cogn Neurosci. 2018 Aug;32:16-22. (PMID: 29703560)
J Clin Cell Immunol. 2014;5:. (PMID: 25525560)
Brain Struct Funct. 2014 Mar;219(2):473-83. (PMID: 23397317)
Obesity (Silver Spring). 2017 Apr;25(4):739-746. (PMID: 28245098)
Psychol Sci. 2014 Jul;25(7):1337-44. (PMID: 24789842)
Am J Physiol Endocrinol Metab. 2009 May;296(5):E1003-12. (PMID: 19116375)
Am J Clin Nutr. 1994 May;59(5):955-9. (PMID: 8172099)
Science. 2007 Sep 7;317(5843):1355. (PMID: 17690262)
Mol Metab. 2018 Apr;10:1-13. (PMID: 29454579)
Int J Obes (Lond). 2012 Jan;36(1):1-11. (PMID: 22041985)
Int J Dev Neurosci. 2018 Feb;64:29-37. (PMID: 28641987)
Neuroimage. 2012 Oct 15;63(1):415-22. (PMID: 22776461)
J Am Coll Cardiol. 2013 Oct 8;62(15):1309-19. (PMID: 23954339)
Behav Brain Res. 2009 Jan 23;196(2):155-67. (PMID: 18955088)
Neuron. 2015 May 6;86(3):646-64. (PMID: 25950633)
Annu Rev Psychol. 2015 Jan 3;66:295-319. (PMID: 25089362)
AJNR Am J Neuroradiol. 2013 May;34(5):958-64, S1. (PMID: 23139079)
J Lipid Res. 2018 Apr;59(4):607-614. (PMID: 29472382)
J Adolesc Health. 1993 May;14(3):190-5. (PMID: 8323929)
Pharmacogenetics. 1997 Dec;7(6):479-84. (PMID: 9429233)
World Health Organ Tech Rep Ser. 2000;894:i-xii, 1-253. (PMID: 11234459)
Brain. 2009 Apr;132(Pt 4):889-902. (PMID: 19293246)
Brain Res Brain Res Rev. 1993 Sep-Dec;18(3):247-91. (PMID: 8401595)
Ann N Y Acad Sci. 2008;1135:265-79. (PMID: 18574233)
Neuropsychopharmacology. 2007 Nov;32(11):2384-92. (PMID: 17327884)
Annu Rev Psychol. 2008;59:55-92. (PMID: 18154499)
Brain Res. 2011 Apr 22;1386:109-17. (PMID: 21362414)
Am J Clin Nutr. 1985 Nov;42(5 Suppl):1133-50. (PMID: 2865893)
J Neurosci. 2005 Sep 21;25(38):8637-49. (PMID: 16177031)
Psychol Bull. 2007 Jul;133(4):557-80. (PMID: 17592956)
Nat Neurosci. 2014 Jul;17(7):908-10. (PMID: 24880214)
Grant Information:
U24 DA041147 United States DA NIDA NIH HHS; U01 DA051039 United States DA NIDA NIH HHS; U01 DA041120 United States DA NIDA NIH HHS; U01 DA051018 United States DA NIDA NIH HHS; U01 DA041093 United States DA NIDA NIH HHS; U24 DA041123 United States DA NIDA NIH HHS; U01 DA051038 United States DA NIDA NIH HHS; U01 DA051037 United States DA NIDA NIH HHS; U01 DA051016 United States DA NIDA NIH HHS; U01 DA041106 United States DA NIDA NIH HHS; U01 DA041117 United States DA NIDA NIH HHS; U01 DA041148 United States DA NIDA NIH HHS; U01 DA041174 United States DA NIDA NIH HHS; U01 DA041134 United States DA NIDA NIH HHS; U01 DA041022 United States DA NIDA NIH HHS; U01 DA041156 United States DA NIDA NIH HHS; U01 DA050987 United States DA NIDA NIH HHS; U01 DA041025 United States DA NIDA NIH HHS; U01 DA050989 United States DA NIDA NIH HHS; U01 DA041089 United States DA NIDA NIH HHS; U01 DA050988 United States DA NIDA NIH HHS; U01 DA041028 United States DA NIDA NIH HHS; U01 DA041048 United States DA NIDA NIH HHS
Contributed Indexing:
Keywords: brain development; diffusion MRI; nucleus accumbens; pediatric obesity; restriction spectrum imaging
Entry Date(s):
Date Created: 20201013 Date Completed: 20201217 Latest Revision: 20210317
Update Code:
20240105
PubMed Central ID:
PMC7604478
DOI:
10.1073/pnas.2007918117
PMID:
33046629
Czasopismo naukowe
The prevalence of obesity in children and adolescents worldwide has quadrupled since 1975 and is a key predictor of obesity later in life. Previous work has consistently observed relationships between macroscale measures of reward-related brain regions (e.g., the nucleus accumbens [NAcc]) and unhealthy eating behaviors and outcomes; however, the mechanisms underlying these associations remain unclear. Recent work has highlighted a potential role of neuroinflammation in the NAcc in animal models of diet-induced obesity. Here, we leverage a diffusion MRI technique, restriction spectrum imaging, to probe the microstructure (cellular density) of subcortical brain regions. More specifically, we test the hypothesis that the cell density of reward-related regions is associated with obesity-related metrics and early weight gain. In a large cohort of nine- and ten-year-olds enrolled in the Adolescent Brain Cognitive Development (ABCD) study, we demonstrate that cellular density in the NAcc is related to individual differences in waist circumference at baseline and is predictive of increases in waist circumference after 1 y. These findings suggest a neurobiological mechanism for pediatric obesity consistent with rodent work showing that high saturated fat diets increase gliosis and neuroinflammation in reward-related brain regions, which in turn lead to further unhealthy eating and obesity.
Competing Interests: Competing interest statement: A.M.D. is a founder of, and holds equity in, CorTechs Labs, Inc. and serves on its Scientific Advisory Board. He is a member of the Scientific Advisory Board of Human Longevity, Inc. and receives funding through research grants with General Electric Healthcare. The terms of these arrangements have been reviewed by and approved by the University of California, San Diego in accordance with its conflict of interest policies.
(Copyright © 2020 the Author(s). Published by PNAS.)

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies