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Cao HL, Meng YJ, Wei W, Li T, Li ML, Guo WJ. Altered individual gray matter structural covariance networks in early abstinence patients with alcohol dependence. Brain Imaging Behav 2024:10.1007/s11682-024-00888-5. [PMID: 38713331 DOI: 10.1007/s11682-024-00888-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/27/2024] [Indexed: 05/08/2024]
Abstract
While alterations in cortical thickness have been widely observed in individuals with alcohol dependence, knowledge about cortical thickness-based structural covariance networks is limited. This study aimed to explore the topological disorganization of structural covariance networks based on cortical thickness at the single-subject level among patients with alcohol dependence. Structural imaging data were obtained from 61 patients with alcohol dependence during early abstinence and 59 healthy controls. The single-subject structural covariance networks were constructed based on cortical thickness data from 68 brain regions and were analyzed using graph theory. The relationships between network architecture and clinical characteristics were further investigated using partial correlation analysis. In the structural covariance networks, both patients with alcohol dependence and healthy controls displayed small-world topology. However, compared to controls, alcohol-dependent individuals exhibited significantly altered global network properties characterized by greater normalized shortest path length, greater shortest path length, and lower global efficiency. Patients exhibited lower degree centrality and nodal efficiency, primarily in the right precuneus. Additionally, scores on the Alcohol Use Disorder Identification Test were negatively correlated with the degree centrality and nodal efficiency of the left middle temporal gyrus. The results of this correlation analysis did not survive after multiple comparisons in the exploratory analysis. Our findings may reveal alterations in the topological organization of gray matter networks in alcoholism patients, which may contribute to understanding the mechanisms of alcohol addiction from a network perspective.
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Affiliation(s)
- Hai-Ling Cao
- Mental Health Center, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan, 610041, China
| | - Ya-Jing Meng
- Mental Health Center, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan, 610041, China
| | - Wei Wei
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310063, China
| | - Tao Li
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310063, China
| | - Ming-Li Li
- Mental Health Center, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan, 610041, China.
| | - Wan-Jun Guo
- Mental Health Center, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan, 610041, China.
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310063, China.
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou, 311121, China.
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Perpiñá-Clérigues C, Mellado S, Galiana-Roselló C, Fernández-Regueras M, Marcos M, García-García F, Pascual M. Novel insight into the lipid network of plasma extracellular vesicles reveal sex-based differences in the lipidomic profile of alcohol use disorder patients. Biol Sex Differ 2024; 15:10. [PMID: 38273378 PMCID: PMC10809459 DOI: 10.1186/s13293-024-00584-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 01/11/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Alcohol use disorder (AUD) is one of the most common psychiatric disorders, with the consumption of alcohol considered a leading cause of preventable deaths worldwide. Lipids play a crucial functional role in cell membranes; however, we know little about the role of lipids in extracellular vesicles (EVs) as regulatory molecules and disease biomarkers. METHODS We employed a sensitive lipidomic strategy to characterize lipid species from the plasma EVs of AUD patients to evaluate functional roles and enzymatic activity networks to improve the knowledge of lipid metabolism after alcohol consumption. We analyzed plasma EV lipids from AUD females and males and healthy individuals to highlight lipids with differential abundance and biologically interpreted lipidomics data using LINEX2, which evaluates enzymatic dysregulation using an enrichment algorithm. RESULTS Our results show, for the first time, that AUD females exhibited more significant substrate-product changes in lysophosphatidylcholine/phosphatidylcholine lipids and phospholipase/acyltransferase activity, which are potentially linked to cancer progression and neuroinflammation. Conversely, AUD males suffer from dysregulated ceramide and sphingomyelin lipids involving sphingomyelinase, sphingomyelin phosphodiesterase, and sphingomyelin synthase activity, which relates to hepatotoxicity. Notably, the analysis of plasma EVs from AUD females and males demonstrates enrichment of lipid ontology terms associated with "negative intrinsic curvature" and "positive intrinsic curvature", respectively. CONCLUSIONS Our methodological developments support an improved understanding of lipid metabolism and regulatory mechanisms, which contribute to the identification of novel lipid targets and the discovery of sex-specific clinical biomarkers in AUD.
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Affiliation(s)
- Carla Perpiñá-Clérigues
- Computational Biomedicine Laboratory, Príncipe Felipe Research Center, C/Eduardo Primo Yúfera, 3, 46012, Valencia, Spain
- Department of Physiology, School of Medicine and Dentistry, University of Valencia, Avda. Blasco Ibáñez, 15, 46010, Valencia, Spain
| | - Susana Mellado
- Department of Physiology, School of Medicine and Dentistry, University of Valencia, Avda. Blasco Ibáñez, 15, 46010, Valencia, Spain
| | - Cristina Galiana-Roselló
- Department of Inorganic Chemistry, Institute of Molecular Science, University of Valencia, 46980, Paterna, Spain
| | - María Fernández-Regueras
- Hospital Universitario de Burgos, 09006, Burgos, Spain
- Hospital Universitario de Salamanca, 37007, Salamanca, Spain
| | - Miguel Marcos
- Department of Internal Medicine, University Hospital of Salamanca, University of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007, Salamanca, Spain
| | - Francisco García-García
- Computational Biomedicine Laboratory, Príncipe Felipe Research Center, C/Eduardo Primo Yúfera, 3, 46012, Valencia, Spain.
| | - María Pascual
- Department of Physiology, School of Medicine and Dentistry, University of Valencia, Avda. Blasco Ibáñez, 15, 46010, Valencia, Spain.
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Maggioni E, Rossetti MG, Allen NB, Batalla A, Bellani M, Chye Y, Cousijn J, Goudriaan AE, Hester R, Hutchison K, Li CSR, Martin-Santos R, Momenan R, Sinha R, Schmaal L, Solowij N, Suo C, van Holst RJ, Veltman DJ, Yücel M, Thompson PM, Conrod P, Mackey S, Garavan H, Brambilla P, Lorenzetti V. Brain volumes in alcohol use disorder: Do females and males differ? A whole-brain magnetic resonance imaging mega-analysis. Hum Brain Mapp 2023; 44:4652-4666. [PMID: 37436103 PMCID: PMC10400785 DOI: 10.1002/hbm.26404] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 02/03/2023] [Accepted: 06/09/2023] [Indexed: 07/13/2023] Open
Abstract
Emerging evidence suggests distinct neurobiological correlates of alcohol use disorder (AUD) between sexes, which however remain largely unexplored. This work from ENIGMA Addiction Working Group aimed to characterize the sex differences in gray matter (GM) and white matter (WM) correlates of AUD using a whole-brain, voxel-based, multi-tissue mega-analytic approach, thereby extending our recent surface-based region of interest findings on a nearly matching sample using a complementary methodological approach. T1-weighted magnetic resonance imaging (MRI) data from 653 people with AUD and 326 controls was analyzed using voxel-based morphometry. The effects of group, sex, group-by-sex, and substance use severity in AUD on brain volumes were assessed using General Linear Models. Individuals with AUD relative to controls had lower GM volume in striatal, thalamic, cerebellar, and widespread cortical clusters. Group-by-sex effects were found in cerebellar GM and WM volumes, which were more affected by AUD in females than males. Smaller group-by-sex effects were also found in frontotemporal WM tracts, which were more affected in AUD females, and in temporo-occipital and midcingulate GM volumes, which were more affected in AUD males. AUD females but not males showed a negative association between monthly drinks and precentral GM volume. Our results suggest that AUD is associated with both shared and distinct widespread effects on GM and WM volumes in females and males. This evidence advances our previous region of interest knowledge, supporting the usefulness of adopting an exploratory perspective and the need to include sex as a relevant moderator variable in AUD.
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Affiliation(s)
- Eleonora Maggioni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Maria G Rossetti
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Nicholas B Allen
- Department of Psychology, University of Oregon, Eugene, Oregon, USA
| | - Albert Batalla
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Yann Chye
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Melbourne, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Janna Cousijn
- Neuroscience of Addiction Lab, Department of Psychology, Education and Child Studies, Erasmus University, Rotterdam, the Netherlands
| | - Anna E Goudriaan
- Department of Psychiatry, Amsterdam Institute for Addiction Research, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Robert Hester
- School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Kent Hutchison
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, USA
| | - Chiang-Shan R Li
- Department of Psychiatry and of Neuroscience, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Rocio Martin-Santos
- Department of Psychiatry and Psychology, Hospital Clinic, IDIBAPS, CIBERSAM and Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Reza Momenan
- Clinical NeuroImaging Research Core, Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Rajita Sinha
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Lianne Schmaal
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Nadia Solowij
- School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
| | - Chao Suo
- Monash Biomedical Imaging, Monash University, Melbourne, Australia
- Australian Characterisation Commons at Scale (ACCS) Project, Monash eResearch Centre, Melbourne, Australia
| | - Ruth J van Holst
- Department of Psychiatry, Amsterdam Institute for Addiction Research, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Dick J Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, the Netherlands
| | - Murat Yücel
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Melbourne, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Patricia Conrod
- Department of Psychiatry, Universite de Montreal, CHU Ste Justine Hospital, Montreal, Canada
| | - Scott Mackey
- Department of Psychiatry, University of Vermont, Burlington, Vermont, USA
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, Vermont, USA
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Valentina Lorenzetti
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioral and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Fitzroy, Victoria, Australia
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