1
|
Maddock RJ, Vlasova RM, Chen S, Iosif AM, Bennett J, Tanase C, Ryan AM, Murai T, Hogrefe CE, Schumann CD, Geschwind DH, Van de Water J, Amaral DG, Lesh TA, Styner MA, Kimberley McAllister A, Carter CS, Bauman MD. Altered brain metabolites in male nonhuman primate offspring exposed to maternal immune activation. Brain Behav Immun 2024:S0889-1591(24)00480-X. [PMID: 39032543 DOI: 10.1016/j.bbi.2024.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 07/04/2024] [Accepted: 07/15/2024] [Indexed: 07/23/2024] Open
Abstract
Converging data show that exposure to maternal immune activation (MIA) in utero alters brain development in animals and increases the risk of neurodevelopmental disorders in humans. A recently developed non-human primate MIA model affords opportunities for studies with uniquely strong translational relevance to human neurodevelopment. The current longitudinal study used 1H-MRS to investigate the developmental trajectory of prefrontal cortex metabolites in male rhesus monkey offspring of dams (n = 14) exposed to a modified form of the inflammatory viral mimic, polyinosinic:polycytidylic acid (Poly IC), in the late first trimester. Brain metabolites in these animals were compared to offspring of dams that received saline (n = 10) or no injection (n = 4). N-acetylaspartate (NAA), glutamate, creatine, choline, myo-inositol, taurine, and glutathione were estimated from PRESS and MEGA-PRESS acquisitions obtained at 6, 12, 24, 36, and 45 months of age. Prior investigations of this cohort reported reduced frontal cortical gray and white matter and subtle cognitive impairments in MIA offspring. We hypothesized that the MIA-induced neurodevelopmental changes would extend to abnormal brain metabolite levels, which would be associated with the observed cognitive impairments. Prefrontal NAA was significantly higher in the MIA offspring across all ages (p < 0.001) and was associated with better performance on the two cognitive measures most sensitive to impairment in the MIA animals (p < 0.05). Myo-inositol was significantly lower across all ages in MIA offspring but was not associated with cognitive performance. Taurine was elevated in MIA offspring at 36 and 45 months. Glutathione did not differ between groups. MIA exposure in male non-human primates is associated with altered prefrontal cortex metabolites during childhood and adolescence. A positive association between elevated NAA and cognitive performance suggests the hypothesis that elevated NAA throughout these developmental stages reflects a protective or resilience-related process in MIA-exposed offspring. The potential relevance of these findings to human neurodevelopmental disorders is discussed.
Collapse
Affiliation(s)
- Richard J Maddock
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA.
| | - Roza M Vlasova
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Shuai Chen
- Division of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Ana-Maria Iosif
- Division of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Jeffrey Bennett
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Costin Tanase
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Amy M Ryan
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Takeshi Murai
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Casey E Hogrefe
- California National Primate Research Center, University of California Davis, Davis, CA, USA
| | - Cynthia D Schumann
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Daniel H Geschwind
- Neurogenetics Program, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Judy Van de Water
- Rheumatology/Allergy and Clinical Immunology, School of Medicine, University of California Davis, Sacramento, CA, USA; MIND Institute, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - David G Amaral
- MIND Institute, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Tyler A Lesh
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA; Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | | | - Cameron S Carter
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California Davis, Sacramento, CA, USA.
| | - Melissa D Bauman
- California National Primate Research Center, University of California Davis, Davis, CA, USA; MIND Institute, School of Medicine, University of California Davis, Sacramento, CA, USA; Physiology and Membrane Biology, School of Medicine, University of California Davis, Sacramento, CA, USA.
| |
Collapse
|
2
|
Tian W, Zhao D, Ding J, Zhan S, Zhang Y, Etkin A, Wu W, Yuan TF. An electroencephalographic signature predicts craving for methamphetamine. Cell Rep Med 2024; 5:101347. [PMID: 38151021 PMCID: PMC10829728 DOI: 10.1016/j.xcrm.2023.101347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 09/17/2023] [Accepted: 11/28/2023] [Indexed: 12/29/2023]
Abstract
Craving is central to methamphetamine use disorder (MUD) and both characterizes the disease and predicts relapse. However, there is currently a lack of robust and reliable biomarkers for monitoring craving and diagnosing MUD. Here, we seek to identify a neurobiological signature of craving based on individual-level functional connectivity pattern differences between healthy control and MUD subjects. We train high-density electroencephalography (EEG)-based models using data recorded during the resting state and then calculate imaginary coherence features between the band-limited time series across different brain regions of interest. Our prediction model demonstrates that eyes-open beta functional connectivity networks have significant predictive value for craving at the individual level and can also identify individuals with MUD. These findings advance the neurobiological understanding of craving through an EEG-tailored computational model of the brain connectome. Dissecting neurophysiological features provides a clinical avenue for personalized treatment of MUD.
Collapse
Affiliation(s)
- Weiwen Tian
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China
| | - Di Zhao
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China
| | - Jinjun Ding
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China
| | - Shulu Zhan
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China
| | - Yi Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China
| | - Amit Etkin
- Department of Psychiatry and Behavioral Science, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neuroscience Institute, Stanford University, Stanford, CA 94305, USA; Alto Neuroscience, Inc., Los Altos, CA 94022, USA
| | - Wei Wu
- Department of Psychiatry and Behavioral Science, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neuroscience Institute, Stanford University, Stanford, CA 94305, USA; Alto Neuroscience, Inc., Los Altos, CA 94022, USA.
| | - Ti-Fei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China; Institute of Mental Health and Drug Discovery, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang 325000, China; Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu 226019, China.
| |
Collapse
|