1
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Peng YY, Tang JJ, Li S, Tang C, Ding Y, Cheng H, Wang HY, Long ZY, Lu XM, Wang YT. Deletion of p75NTR rescues behavioral and cognitive dysfunction in SPS-induced PTSD mice through hippocampal PI3K/Akt/mTOR pathway. Int J Biol Macromol 2025; 308:142770. [PMID: 40180094 DOI: 10.1016/j.ijbiomac.2025.142770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2024] [Revised: 03/28/2025] [Accepted: 03/31/2025] [Indexed: 04/05/2025]
Abstract
Post-traumatic stress disorder (PTSD) is a persistent mental illness caused by severe traumatic events, and its pathogenesis is still unclear. Recent studies indicate that p75 neurotrophic factor receptor (p75NTR) plays a crucial role in neurological diseases, but the role of p75NTR in PTSD is currently unknown. To investigate the effects and mechanisms of p75NTR in PTSD, in this study, a functional p75NTR-deficient mouse was used to establish a PTSD model by single prolonged stress (SPS) paradigm, then the behavioral effects and underlying mechanisms were further investigated. The results demonstrated that p75NTR deletion alleviated anxiety-like behavior and spatial learning and memory impairment in SPS-induced PTSD mice. Further study indicated that deletion of p75NTR downregulated the expression of apoptosis (Bax) and autophagy (Beclin-1) related proteins in the hippocampus of PTSD mice, protected against hippocampal neuronal damage, upregulated the expression of synaptic-related proteins (PSD95 and Synapsin I), increased dendritic complexity and dendritic spine density, and improved synaptic plasticity through the PI3K/Akt/mTOR pathway. In conclusion, deletion of p75NTR rescues behavioral and cognitive dysfunction through PI3K/Akt/mTOR pathway mediated regulation of hippocampal autophagy, apoptosis and synaptic plasticity in SPS-induced PTSD mice, which provides a potential therapeutic target for the treatment of PTSD.
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Affiliation(s)
- Yu-Yuan Peng
- State Key Laboratory of Trauma and Chemical Poisoning, Daping Hospital, Army Medical University, Chongqing 400042, China; College of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Jun-Jie Tang
- College of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Sen Li
- State Key Laboratory of Trauma and Chemical Poisoning, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Can Tang
- College of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Yang Ding
- College of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Hui Cheng
- College of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Hai-Yan Wang
- State Key Laboratory of Trauma and Chemical Poisoning, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Zai-Yun Long
- State Key Laboratory of Trauma and Chemical Poisoning, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Xiu-Min Lu
- College of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China.
| | - Yong-Tang Wang
- State Key Laboratory of Trauma and Chemical Poisoning, Daping Hospital, Army Medical University, Chongqing 400042, China.
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2
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Swanberg KM, Prinsen H, Averill CL, Campos L, Kurada AV, Krystal JH, Petrakis IL, Averill LA, Rothman DL, Abdallah CG, Juchem C. Medial prefrontal cortex neurotransmitter abnormalities in posttraumatic stress disorder with and without comorbidity to major depression. NMR IN BIOMEDICINE 2024; 37:e5220. [PMID: 39054694 DOI: 10.1002/nbm.5220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/23/2024] [Accepted: 07/02/2024] [Indexed: 07/27/2024]
Abstract
Posttraumatic stress disorder (PTSD) is a chronic psychiatric condition that follows exposure to a traumatic stressor. Though previous in vivo proton (1H) MRS) research conducted at 4 T or lower has identified alterations in glutamate metabolism associated with PTSD predisposition and/or progression, no prior investigations have been conducted at higher field strength. In addition, earlier studies have not extensively addressed the impact of psychiatric comorbidities such as major depressive disorder (MDD) on PTSD-associated 1H-MRS-visible brain metabolite abnormalities. Here we employ 7 T 1H MRS to examine concentrations of glutamate, glutamine, GABA, and glutathione in the medial prefrontal cortex (mPFC) of PTSD patients with MDD (PTSD+MDD+; N = 6) or without MDD (PTSD+MDD-; N = 5), as well as trauma-unmatched controls without PTSD but with MDD (PTSD-MDD+; N = 9) or without MDD (PTSD-MDD-; N = 18). Participants with PTSD demonstrated decreased ratios of GABA to glutamine relative to healthy PTSD-MDD- controls but no single-metabolite abnormalities. When comorbid MDD was considered, however, MDD but not PTSD diagnosis was significantly associated with increased mPFC glutamine concentration and decreased glutamate:glutamine ratio. In addition, all participants with PTSD and/or MDD collectively demonstrated decreased glutathione relative to healthy PTSD-MDD- controls. Despite limited findings in single metabolites, patterns of abnormality in prefrontal metabolite concentrations among individuals with PTSD and/or MDD enabled supervised classification to separate them from healthy controls with 80+% sensitivity and specificity, with glutathione, glutamine, and myoinositol consistently among the most informative metabolites for this classification. Our findings indicate that MDD can be an important factor in mPFC glutamate metabolism abnormalities observed using 1H MRS in cohorts with PTSD.
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Affiliation(s)
- Kelley M Swanberg
- Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, USA
- Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Hetty Prinsen
- Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Christopher L Averill
- Clinical Neuroscience Division, Department of Veterans Affairs, National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
- US Department of Veterans Affairs Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | - Leonardo Campos
- Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, USA
| | - Abhinav V Kurada
- Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, USA
| | - John H Krystal
- Clinical Neuroscience Division, Department of Veterans Affairs, National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Ismene L Petrakis
- Clinical Neuroscience Division, Department of Veterans Affairs, National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Lynnette A Averill
- Clinical Neuroscience Division, Department of Veterans Affairs, National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
- US Department of Veterans Affairs Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | - Douglas L Rothman
- Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Chadi G Abdallah
- Clinical Neuroscience Division, Department of Veterans Affairs, National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
- US Department of Veterans Affairs Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | - Christoph Juchem
- Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, USA
- Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
- Radiology, Columbia University Medical Center, New York, NY, USA
- Neurology, Yale University School of Medicine, New Haven, CT, USA
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3
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Tan J, Zhang G, Hao J, Cai H, Wu D, Su Z, Liu B, Wu M. Progress in the application of molecular imaging in psychiatric disorders. PSYCHORADIOLOGY 2023; 3:kkad020. [PMID: 38666107 PMCID: PMC10917387 DOI: 10.1093/psyrad/kkad020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 09/20/2023] [Accepted: 10/06/2023] [Indexed: 04/28/2024]
Abstract
Psychiatric disorders have always attracted a lot of attention from researchers due to the difficulties in their diagnoses and treatments. Molecular imaging, as an emerging technology, has played an important role in the researchers of various diseases. In recent years, molecular imaging techniques including magnetic resonance spectroscopy, nuclear medicine imaging, and fluorescence imaging have been widely used in the study of psychiatric disorders. This review will briefly summarize the progression of molecular imaging in psychiatric disorders.
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Affiliation(s)
- Jia Tan
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Guangying Zhang
- Department of Radiology, Banan People's Hospital, Chongqing Medical University, Chongqing 400037, China
| | - Jiaqi Hao
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Huawei Cai
- Department of Nuclear Medicine and Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Dingping Wu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zhuoxiao Su
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Beibei Liu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Min Wu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
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4
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Gudmundson AT, Koo A, Virovka A, Amirault AL, Soo M, Cho JH, Oeltzschner G, Edden RAE, Stark CEL. Meta-analysis and open-source database for in vivo brain Magnetic Resonance spectroscopy in health and disease. Anal Biochem 2023; 676:115227. [PMID: 37423487 PMCID: PMC10561665 DOI: 10.1016/j.ab.2023.115227] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/15/2023] [Accepted: 06/26/2023] [Indexed: 07/11/2023]
Abstract
Proton (1H) Magnetic Resonance Spectroscopy (MRS) is a non-invasive tool capable of quantifying brain metabolite concentrations in vivo. Prioritization of standardization and accessibility in the field has led to the development of universal pulse sequences, methodological consensus recommendations, and the development of open-source analysis software packages. One on-going challenge is methodological validation with ground-truth data. As ground-truths are rarely available for in vivo measurements, data simulations have become an important tool. The diverse literature of metabolite measurements has made it challenging to define ranges to be used within simulations. Especially for the development of deep learning and machine learning algorithms, simulations must be able to produce accurate spectra capturing all the nuances of in vivo data. Therefore, we sought to determine the physiological ranges and relaxation rates of brain metabolites which can be used both in data simulations and as reference estimates. Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, we've identified relevant MRS research articles and created an open-source database containing methods, results, and other article information as a resource. Using this database, expectation values and ranges for metabolite concentrations and T2 relaxation times are established based upon a meta-analyses of healthy and diseased brains.
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Affiliation(s)
- Aaron T Gudmundson
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Annie Koo
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
| | - Anna Virovka
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
| | - Alyssa L Amirault
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
| | - Madelene Soo
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
| | - Jocelyn H Cho
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Craig E L Stark
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA.
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5
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Gudmundson AT, Koo A, Virovka A, Amirault AL, Soo M, Cho JH, Oeltzschner G, Edden RA, Stark C. Meta-analysis and Open-source Database for In Vivo Brain Magnetic Resonance Spectroscopy in Health and Disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.10.528046. [PMID: 37205343 PMCID: PMC10187197 DOI: 10.1101/2023.02.10.528046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Proton ( 1 H) Magnetic Resonance Spectroscopy (MRS) is a non-invasive tool capable of quantifying brain metabolite concentrations in vivo . Prioritization of standardization and accessibility in the field has led to the development of universal pulse sequences, methodological consensus recommendations, and the development of open-source analysis software packages. One on-going challenge is methodological validation with ground-truth data. As ground-truths are rarely available for in vivo measurements, data simulations have become an important tool. The diverse literature of metabolite measurements has made it challenging to define ranges to be used within simulations. Especially for the development of deep learning and machine learning algorithms, simulations must be able to produce accurate spectra capturing all the nuances of in vivo data. Therefore, we sought to determine the physiological ranges and relaxation rates of brain metabolites which can be used both in data simulations and as reference estimates. Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, we've identified relevant MRS research articles and created an open-source database containing methods, results, and other article information as a resource. Using this database, expectation values and ranges for metabolite concentrations and T 2 relaxation times are established based upon a meta-analyses of healthy and diseased brains.
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Affiliation(s)
- Aaron T. Gudmundson
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
| | - Annie Koo
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - Anna Virovka
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - Alyssa L. Amirault
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - Madelene Soo
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - Jocelyn H. Cho
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
| | - Richard A.E. Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
| | - Craig Stark
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA
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6
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Swanberg KM, Campos L, Abdallah CG, Juchem C. Proton Magnetic Resonance Spectroscopy in Post-Traumatic Stress Disorder-Updated Systematic Review and Meta-Analysis. CHRONIC STRESS (THOUSAND OAKS, CALIF.) 2022; 6:24705470221128004. [PMID: 36237981 PMCID: PMC9551353 DOI: 10.1177/24705470221128004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 09/06/2022] [Indexed: 11/06/2022]
Abstract
A stressor-related disorder wherein traumatic experience precipitates protracted
disruptions to mood and cognition, post-traumatic stress disorder (PTSD) is
associated with wide-ranging abnormalities across the body. While various
methods have investigated these deviations, only proton magnetic resonance
spectroscopy (1H MRS) enables noninvasive measurement of
small-molecule metabolites in the living human. 1H MRS has
correspondingly been employed to test hypotheses about the composition and
function of multiple brain regions putatively involved in PTSD. Here we
systematically review methodological considerations and reported findings, both
positive and negative, of the current 1H-MRS literature in PTSD
(N = 32 studies) to communicate the brain regional metabolite alterations
heretofore observed, providing random-effects model meta-analyses for those most
extensively studied. Our review suggests significant PTSD-associated decreases
in N-acetyl aspartate in bilateral hippocampus and anterior cingulate cortex
with less evident effect in other metabolites and regions. Model heterogeneities
diverged widely by analysis (I2 < 0.01% to 90.1%) and suggested
regional dependence on quantification reference (creatine or otherwise). While
observed variabilities in methods and reported findings suggest that
1H-MRS explorations of PTSD could benefit from methodological
standardization, informing this standardization by quantitative assessment of
the existing literature is currently hampered by its small size and limited
scope.
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Affiliation(s)
- Kelley M. Swanberg
- Department of Biomedical Engineering,
Columbia
University Fu Foundation School of Engineering and Applied
Science, New York, NY, USA
- Kelley M. Swanberg, Department of
Biomedical Engineering, Columbia University Fu Foundation School of Engineering
and Applied Science, 351 Engineering Terrace, 1210 Amsterdam Avenue, New York,
NY 10027, USA.
| | - Leonardo Campos
- Department of Biomedical Engineering,
Columbia
University Fu Foundation School of Engineering and Applied
Science, New York, NY, USA
| | - Chadi G. Abdallah
- Department of Psychiatry, Yale University School of
Medicine, New Haven, CT, USA
- Clinical Neuroscience Division, Department of Veterans Affairs
National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut
Healthcare System, West Haven, CT, USA
- Psychiatry and Behavioral Sciences,
Baylor College
of Medicine, Houston, TX, USA
| | - Christoph Juchem
- Department of Biomedical Engineering,
Columbia
University Fu Foundation School of Engineering and Applied
Science, New York, NY, USA
- Department of Radiology, Columbia University College of Physicians and
Surgeons, New York, NY, USA
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7
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Kiyar M, Kubre MA, Collet S, Bhaduri S, T’Sjoen G, Guillamon A, Mueller SC. Minority Stress and the Effects on Emotion Processing in Transgender Men and Cisgender People: A Study Combining fMRI and 1H-MRS. Int J Neuropsychopharmacol 2022; 25:350-360. [PMID: 34878531 PMCID: PMC9154245 DOI: 10.1093/ijnp/pyab090] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/12/2021] [Accepted: 12/06/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Minority stress via discrimination, stigmatization, and exposure to violence can lead to development of mood and anxiety disorders and underlying neurobiochemical changes. To date, the neural and neurochemical correlates of emotion processing in transgender people (and their interaction) are unknown. METHODS This study combined functional magnetic resonance imaging and magnetic resonance spectroscopy to uncover the effects of anxiety and perceived stress on the neural and neurochemical substrates, specifically choline, on emotion processing in transgender men. Thirty transgender men (TM), 30 cisgender men, and 35 cisgender women passively viewed angry, neutral, happy, and surprised faces in the functional magnetic resonance imaging scanner, underwent a magnetic resonance spectroscopy scan, and filled out mood- and anxiety-related questionnaires. RESULTS As predicted, choline levels modulated the relationship between anxiety and stress symptoms and the neural response to angry and surprised (but not happy faces) in the amygdala. This was the case only for TM but not cisgender comparisons. More generally, neural responses in the left amygdala, left middle frontal gyrus, and medial frontal gyrus to emotional faces in TM resembled that of cisgender women. CONCLUSIONS These results provide first evidence, to our knowledge, of a critical interaction between levels of analysis and that choline may influence neural processing of emotion in individuals prone to minority stress.
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Affiliation(s)
- Meltem Kiyar
- Department of Experimental Clinical and Health Psychology, Ghent University, Belgium
| | - Mary-Ann Kubre
- Department of Experimental Clinical and Health Psychology, Ghent University, Belgium
| | - Sarah Collet
- Department of Endocrinology, Ghent University Hospital, Belgium
| | - Sourav Bhaduri
- Department of Experimental Clinical and Health Psychology, Ghent University, Belgium
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Guy T’Sjoen
- Department of Endocrinology, Ghent University Hospital, Belgium
| | - Antonio Guillamon
- Department of Psychobiology, National Distance Education University, Madrid, Spain
| | - Sven C Mueller
- Department of Experimental Clinical and Health Psychology, Ghent University, Belgium
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8
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Collet S, Bhaduri S, Kiyar M, T’Sjoen G, Mueller S, Guillamon A. Characterization of the 1H-MRS Metabolite Spectra in Transgender Men with Gender Dysphoria and Cisgender People. J Clin Med 2021; 10:2623. [PMID: 34198690 PMCID: PMC8232168 DOI: 10.3390/jcm10122623] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 06/07/2021] [Accepted: 06/10/2021] [Indexed: 11/29/2022] Open
Abstract
Much research has been conducted on sexual differences of the human brain to determine whether and to what extent a brain gender exists. Consequently, a variety of studies using different neuroimaging techniques attempted to identify the existence of a brain phenotype in people with gender dysphoria (GD). However, to date, brain sexual differences at the metabolite level using magnetic resonance spectroscopy (1H-MRS) have not been explored in transgender people. In this study, 28 cisgender men (CM) and 34 cisgender women (CW) and 29 transgender men with GD (TMGD) underwent 1H-MRS at 3 Tesla MRI to characterize common brain metabolites. Specifically, levels of N-acetyl aspartate (NAA), choline (Cho), creatine (Cr), glutamate and glutamine (Glx), and myo-inositol + glycine (mI + Gly) were assessed in two brain regions, the amygdala-anterior hippocampus and the lateral parietal cortex. The results indicated a sex-assigned at birth pattern for Cho/Cr in the amygdala of TMGD. In the parietal cortex, a sex-assigned at birth and an intermediate pattern were found. Though assessed post-hoc, exploration of the age of onset of GD in TMGD demonstrated within-group differences in absolute NAA and relative Cho/Cr levels, suggestive for a possible developmental trend. While brain metabolite levels in TMGD resembled those of CW, some interesting findings, such as modulation of metabolite concentrations by age of onset of GD, warrant future inquiry.
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Affiliation(s)
- Sarah Collet
- Department of Endocrinology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Sourav Bhaduri
- Department of Experimental Clinical and Health Psychology, Ghent University, 9000 Ghent, Belgium; (S.B.); (M.K.); (S.M.)
| | - Meltem Kiyar
- Department of Experimental Clinical and Health Psychology, Ghent University, 9000 Ghent, Belgium; (S.B.); (M.K.); (S.M.)
| | - Guy T’Sjoen
- Department of Endocrinology, Center for Sexology and Gender, Ghent University Hospital, 9000 Ghent, Belgium;
| | - Sven Mueller
- Department of Experimental Clinical and Health Psychology, Ghent University, 9000 Ghent, Belgium; (S.B.); (M.K.); (S.M.)
- Department of Personality, Psychological Assessment and Treatment, University of Deusto, 48007 Bilbao, Spain
| | - Antonio Guillamon
- Departamento de Psicobiología, Facultad de Psicología, Universidad Nacional de Educación a Distancia, 28040 Madrid, Spain;
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9
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Harnett NG, Goodman AM, Knight DC. PTSD-related neuroimaging abnormalities in brain function, structure, and biochemistry. Exp Neurol 2020; 330:113331. [PMID: 32343956 DOI: 10.1016/j.expneurol.2020.113331] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 04/06/2020] [Accepted: 04/24/2020] [Indexed: 12/20/2022]
Abstract
Although approximately 90% of the U.S. population will experience a traumatic event within their lifetime, only a fraction of those traumatized individuals will develop posttraumatic stress disorder (PTSD). In fact, approximately 7 out of 100 people in the U.S. will be afflicted by this debilitating condition, which suggests there is substantial inter-individual variability in susceptibility to PTSD. This uncertainty regarding who is susceptible to PTSD necessitates a thorough understanding of the neurobiological processes that underlie PTSD development in order to build effective predictive models for the disorder. In turn, these predictive models may lead to the development of improved diagnostic markers, early intervention techniques, and targeted treatment approaches for PTSD. Prior research has characterized a fear learning and memory network, centered on the prefrontal cortex, hippocampus, and amygdala, that plays a key role in the pathology of PTSD. Importantly, changes in the function, structure, and biochemistry of this network appear to underlie the cognitive-affective dysfunction observed in PTSD. The current review discusses prior research that has demonstrated alterations in brain function, structure, and biochemistry associated with PTSD. Further, the potential for future research to address current gaps in our understanding of the neural processes that underlie the development of PTSD is discussed. Specifically, this review emphasizes the need for multimodal neuroimaging research and investigations into the acute effects of posttraumatic stress. The present review provides a framework to move the field towards a comprehensive neurobiological model of PTSD.
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Affiliation(s)
- Nathaniel G Harnett
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Adam M Goodman
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - David C Knight
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
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10
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Miller JS, Rodriguez-Saona L, Hackshaw KV. Metabolomics in Central Sensitivity Syndromes. Metabolites 2020; 10:E164. [PMID: 32344505 PMCID: PMC7240948 DOI: 10.3390/metabo10040164] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 04/11/2020] [Accepted: 04/19/2020] [Indexed: 01/09/2023] Open
Abstract
Central sensitization syndromes are a collection of frequently painful disorders that contribute to decreased quality of life and increased risk of opiate abuse. Although these disorders cause significant morbidity, they frequently lack reliable diagnostic tests. As such, technologies that can identify key moieties in central sensitization disorders may contribute to the identification of novel therapeutic targets and more precise treatment options. The analysis of small molecules in biological samples through metabolomics has improved greatly and may be the technology needed to identify key moieties in difficult to diagnose diseases. In this review, we discuss the current state of metabolomics as it relates to central sensitization disorders. From initial literature review until Feb 2020, PubMed, Embase, and Scopus were searched for applicable studies. We included cohort studies, case series, and interventional studies of both adults and children affected by central sensitivity syndromes. The majority of metabolomic studies addressing a CSS found significantly altered metabolites that allowed for differentiation of CSS patients from healthy controls. Therefore, the published literature overwhelmingly supports the use of metabolomics in CSS. Further research into these altered metabolites and their respective metabolic pathways may provide more reliable and effective therapeutics for these syndromes.
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Affiliation(s)
- Joseph S. Miller
- Department of Medicine, Ohio University Heritage College of Osteopathic Medicine, Dublin, OH 43016, USA;
| | - Luis Rodriguez-Saona
- Department of Food Science and Technology, Ohio State University, Columbus, OH 43210, USA;
| | - Kevin V. Hackshaw
- Department of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1701 Trinity St, Austin, TX 78712, USA
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11
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Swaab DF, Bao AM. Sex differences in stress-related disorders: Major depressive disorder, bipolar disorder, and posttraumatic stress disorder. HANDBOOK OF CLINICAL NEUROLOGY 2020; 175:335-358. [PMID: 33008536 DOI: 10.1016/b978-0-444-64123-6.00023-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Stress-related disorders, such as mood disorders and posttraumatic stress disorder (PTSD), are more common in women than in men. This sex difference is at least partly due to the organizing effect of sex steroids during intrauterine development, while activating or inhibiting effects of circulating sex hormones in the postnatal period and adulthood also play a role. Such effects result in structural and functional changes in neuronal networks, neurotransmitters, and neuropeptides, which make the arousal- and stress-related brain systems more vulnerable to environmental stressful events in women. Certain brainstem nuclei, the amygdala, habenula, prefrontal cortex, and hypothalamus are important hubs in the stress-related neuronal network. Various hypothalamic nuclei play a central role in this sexually dimorphic network. This concerns not only the hypothalamus-pituitary-adrenal axis (HPA-axis), which integrates the neuro-endocrine-immune responses to stress, but also other hypothalamic nuclei and systems that play a key role in the symptoms of mood disorders, such as disordered day-night rhythm, lack of reward feelings, disturbed eating and sex, and disturbed cognitive functions. The present chapter focuses on the structural and functional sex differences that are present in the stress-related brain systems in mood disorders and PTSD, placing the HPA-axis in the center. The individual differences in the vulnerability of the discussed systems, caused by genetic and epigenetic developmental factors warrant further research to develop tailor-made therapeutic strategies.
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Affiliation(s)
- Dick F Swaab
- Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands; Department of Neurobiology and Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Zhejiang, China.
| | - Ai-Min Bao
- Department of Neurobiology and Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Zhejiang, China; Key Laboratory of Mental Disorder Management, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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12
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Lai S, Zhong S, Shan Y, Wang Y, Chen G, Luo X, Chen F, Zhang Y, Shen S, Huang H, Ning Y, Jia Y. Altered biochemical metabolism and its lateralization in the cortico-striato-cerebellar circuit of unmedicated bipolar II depression. J Affect Disord 2019; 259:82-90. [PMID: 31442883 DOI: 10.1016/j.jad.2019.07.021] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 05/30/2019] [Accepted: 07/04/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Evidence of the relationship between neurometabolic changes in the cortico-striato-cerebellar (CSC) circuit and bipolar disorder (BD) is still limited. To elucidate the pathogenesis of BD, we investigated the underlying neurometabolic changes and their effect on CSC lateralization circuits in unmedicated patients with bipolar II depression. METHODS Forty unmedicated participants with bipolar II depression and forty healthy controls underwent proton magnetic resonance spectroscopy (1H-MRS). We obtained bilateral metabolic ratios of N-acetylaspartate (NAA)/creatine (Cr) and choline (Cho)/Cr in the prefrontal white matter (PWM), anterior cingulate cortex (ACC), basal ganglia (BG) and the cerebellum. Metabolic ratios were characterized using a laterality index (LI) for left-right asymmetry. RESULTS Overall, aberrant lateralization in the CSC circuit was characteristic in patients with bipolar II depression. Patients with bipolar II depression showed significantly lower NAA/Cr ratios in the left PWM, right ACC, left BG and left cerebellum when compared with the healthy controls. For bipolar II depression, we found lower NAA/Cr LI in the PWM, BG, and cerebellum, higher NAA/Cr LI in the ACC, and higher Cho/Cr LI in the BG and cerebellum when compared to the standard value (1.0). For healthy controls, we found lower NAA/Cr LI only in the BG and higher Cho/Cr LI in the cerebellum when compared to 1.0. LIMITATIONS As a cross-sectional study with a small sample size, progressive changes and complex metabolic interactions with treatment were not observed. CONCLUSIONS Our findings suggest that abnormal biochemical metabolism with aberrant lateralization in the CSC circuit may be an underlying pathophysiology of bipolar II depression.
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Affiliation(s)
- Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yanyan Shan
- School of Management, Jinan University, Guangzhou 510316, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yiliang Zhang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shiyi Shen
- School of Management, Jinan University, Guangzhou 510316, China
| | - Hui Huang
- School of Management, Jinan University, Guangzhou 510316, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou 510370, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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