Dopamine D


Journal

Drug and alcohol dependence
ISSN: 1879-0046
Titre abrégé: Drug Alcohol Depend
Pays: Ireland
ID NLM: 7513587

Informations de publication

Date de publication:
01 03 2021
Historique:
received: 24 08 2020
revised: 14 12 2020
accepted: 14 12 2020
pubmed: 18 1 2021
medline: 22 6 2021
entrez: 17 1 2021
Statut: ppublish

Résumé

Positron emission tomography (PET) work with the dopamine D3 receptor (D Non-obese CUD subjects (N = 12) were compared to age-matched obese CUD subjects (N = 14). All subjects underwent [ In between-group analyses, D2/3R availability in non-obese and obese CUD groups was not significantly different overall. BMI was inversely correlated withBP These data suggest that obesity in CUD was not associated with significant differences in D

Sections du résumé

BACKGROUND
Positron emission tomography (PET) work with the dopamine D3 receptor (D
METHODS
Non-obese CUD subjects (N = 12) were compared to age-matched obese CUD subjects (N = 14). All subjects underwent [
RESULTS
In between-group analyses, D2/3R availability in non-obese and obese CUD groups was not significantly different overall. BMI was inversely correlated withBP
CONCLUSION
These data suggest that obesity in CUD was not associated with significant differences in D

Identifiants

pubmed: 33454626
pii: S0376-8716(21)00009-0
doi: 10.1016/j.drugalcdep.2021.108514
pmc: PMC7889720
mid: NIHMS1661252
pii:
doi:

Substances chimiques

Ligands 0
Receptors, Dopamine D2 0
Receptors, Dopamine D3 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

108514

Subventions

Organisme : NIDA NIH HHS
ID : P20 DA027844
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIDA NIH HHS
ID : R03 DA027456
Pays : United States
Organisme : NIMH NIH HHS
ID : T32 MH019961
Pays : United States
Organisme : NIDA NIH HHS
ID : L30 DA029943
Pays : United States
Organisme : NIDA NIH HHS
ID : K24 DA017899
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Références

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Auteurs

David Matuskey (D)

Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States; Department of Psychiatry, Yale University, New Haven, CT, United States; Department of Neurology, Yale University, New Haven, CT, United States. Electronic address: david.matuskey@yale.edu.

Gustavo A Angarita (GA)

Department of Psychiatry, Yale University, New Haven, CT, United States; Connecticut Mental Health Center, New Haven, CT, United States.

Patrick Worhunsky (P)

Department of Psychiatry, Yale University, New Haven, CT, United States.

Sheida Koohsari (S)

Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States.

Paul Gravel (P)

Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States.

Brian Pittman (B)

Department of Psychiatry, Yale University, New Haven, CT, United States.

Edward C Gaiser (EC)

Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States.

Jean-Dominque Gallezot (JD)

Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States.

Nabeel Nabulsi (N)

Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States.

Yiyun Huang (Y)

Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States.

Richard E Carson (RE)

Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States.

Marc N Potenza (MN)

Department of Psychiatry, Yale University, New Haven, CT, United States; Connecticut Mental Health Center, New Haven, CT, United States; Connecticut Council on Problem Gambling, Wethersfield, CT, United States; Department of Neuroscience, Yale University, New Haven, CT, United States.

Robert T Malison (RT)

Department of Psychiatry, Yale University, New Haven, CT, United States; Connecticut Mental Health Center, New Haven, CT, United States.

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Classifications MeSH