1
|
Khalil SM, Qin X, Hakenjos JM, Wang J, Hu Z, Liu X, Wang J, Maletic-Savatic M, MacKenzie KR, Matzuk MM, Li F. MALDI Imaging Mass Spectrometry Visualizes the Distribution of Antidepressant Duloxetine and Its Major Metabolites in Mouse Brain, Liver, Kidney, and Spleen Tissues. Drug Metab Dispos 2024; 52:673-680. [PMID: 38658163 PMCID: PMC11185819 DOI: 10.1124/dmd.124.001719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/26/2024] Open
Abstract
Imaging mass spectrometry (IMS) is a powerful tool for mapping the spatial distribution of unlabeled drugs and metabolites that may find application in assessing drug delivery, explaining drug efficacy, and identifying potential toxicity. This study focuses on determining the spatial distribution of the antidepressant duloxetine, which is widely prescribed despite common adverse effects (liver injury, constant headaches) whose mechanisms are not fully understood. We used high-resolution IMS with matrix-assisted laser desorption/ionization to examine the distribution of duloxetine and its major metabolites in four mouse organs where it may contribute to efficacy or toxicity: brain, liver, kidney, and spleen. In none of these tissues is duloxetine or its metabolites homogeneously distributed, which has implications for both efficacy and toxicity. We found duloxetine to be similarly distributed in spleen red pulp and white pulp but differentially distributed in different anatomic regions of the liver, kidney, and brain, with dose-dependent patterns. Comparison with hematoxylin and eosin staining of tissue sections reveals that the ion images of endogenous lipids help delineate anatomic regions in the brain and kidney, while heme ion images assist in differentiating regions within the spleen. These endogenous metabolites may serve as a valuable resource for examining the spatial distribution of other drugs in tissues when staining images are not available. These findings may facilitate future mechanistic studies of the therapeutic and adverse effects of duloxetine. In the current work, we did not perform absolute quantification of duloxetine, which will be reported in due course. SIGNIFICANCE STATEMENT: The study utilized imaging mass spectrometry to examine the spatial distribution of duloxetine and its primary metabolites in mouse brain, liver, kidney, and spleen. These results may pave the way for future investigations into the mechanisms behind duloxetine's therapeutic and adverse effects. Furthermore, the mass spectrometry images of specific endogenous metabolites such as heme could be valuable in analyzing the spatial distribution of other drugs within tissues in scenarios where histological staining images are unavailable.
Collapse
Affiliation(s)
- Saleh M Khalil
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - Xuan Qin
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - John M Hakenjos
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - Jian Wang
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - Zhaoyong Hu
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - Xinli Liu
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - Jin Wang
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - Mirjana Maletic-Savatic
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - Kevin R MacKenzie
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - Martin M Matzuk
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| | - Feng Li
- Center for Drug Discovery, Department of Pathology and Immunology (S.M.K., X.Q., J.M.H., Jia.W., M.M.-S., K.R.M., M.M.M., F.L.), NMR and Drug Metabolism Core, Advanced Technology Cores (X.Q., J.M.H., Jia.W., K.R.M., F.L.), Department of Biochemistry and Molecular Pharmacology (Jin.W., K.R.M., M.M.M., F.L.), Department of Pediatrics (S.M.K., M.M.-S.), and Nephrology Division, Department of Medicine (Z.H.), Baylor College of Medicine, Houston, Texas; Jan and Dan Duncan Neurologic Research Institute, Texas Children's Hospital, Houston, Texas (M.M.-S.); and Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, Texas (X.L.)
| |
Collapse
|
2
|
Yang D, Zhao Y, Nie B, An L, Wan X, Wang Y, Wang W, Cai G, Wu S. Progress in magnetic resonance imaging of autism model mice brain. WILEY INTERDISCIPLINARY REVIEWS. COGNITIVE SCIENCE 2022; 13:e1616. [PMID: 35930672 DOI: 10.1002/wcs.1616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/11/2022] [Accepted: 06/29/2022] [Indexed: 06/15/2023]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disease characterized by social disorder and stereotypical behaviors with an increasing incidence. ASD patients are suffering from varying degrees of mental retardation and language development abnormalities. Magnetic resonance imaging (MRI) is a noninvasive imaging technology to detect brain structural and functional dysfunction in vivo, playing an important role in the early diagnosisbasic research of ASD. High-field, small-animal MRI in basic research of autism model mice has provided a new approach to research the pathogenesis, characteristics, and intervention efficacy in autism. This article reviews MRI studies of mouse models of autism over the past 20 years. Reduced gray matter, abnormal connections of brain networks, and abnormal development of white matter fibers have been demonstrated in these studies, which are present in different proportions in the various mouse models. This provides a more macroscopic view for subsequent research on autism model mice. This article is categorized under: Cognitive Biology > Genes and Environment Neuroscience > Computation Neuroscience > Genes, Molecules, and Cells Neuroscience > Development.
Collapse
Affiliation(s)
- Dingding Yang
- Department of Neurobiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Yan Zhao
- Department of Gastroenterology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Binbin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Leiting An
- Department of Neurobiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Xiangdong Wan
- Department of Neurobiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Yazhou Wang
- Department of Neurobiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Wenting Wang
- Department of Neurobiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Guohong Cai
- Department of Neurobiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Shengxi Wu
- Department of Neurobiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| |
Collapse
|
3
|
Tsurugizawa T. Translational Magnetic Resonance Imaging in Autism Spectrum Disorder From the Mouse Model to Human. Front Neurosci 2022; 16:872036. [PMID: 35585926 PMCID: PMC9108701 DOI: 10.3389/fnins.2022.872036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 03/30/2022] [Indexed: 11/26/2022] Open
Abstract
Autism spectrum disorder (ASD) is a heterogeneous syndrome characterized by behavioral features such as impaired social communication, repetitive behavior patterns, and a lack of interest in novel objects. A multimodal neuroimaging using magnetic resonance imaging (MRI) in patients with ASD shows highly heterogeneous abnormalities in function and structure in the brain associated with specific behavioral features. To elucidate the mechanism of ASD, several ASD mouse models have been generated, by focusing on some of the ASD risk genes. A specific behavioral feature of an ASD mouse model is caused by an altered gene expression or a modification of a gene product. Using these mouse models, a high field preclinical MRI enables us to non-invasively investigate the neuronal mechanism of the altered brain function associated with the behavior and ASD risk genes. Thus, MRI is a promising translational approach to bridge the gap between mice and humans. This review presents the evidence for multimodal MRI, including functional MRI (fMRI), diffusion tensor imaging (DTI), and volumetric analysis, in ASD mouse models and in patients with ASD and discusses the future directions for the translational study of ASD.
Collapse
Affiliation(s)
- Tomokazu Tsurugizawa
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
- Faculty of Engineering, University of Tsukuba, Tsukuba, Japan
- *Correspondence: Tomokazu Tsurugizawa,
| |
Collapse
|
4
|
Goo J, Sakhanenko L, Zhu DC. A chi-square type test for time-invariant fiber pathways of the brain. STATISTICAL INFERENCE FOR STOCHASTIC PROCESSES 2022. [DOI: 10.1007/s11203-022-09268-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
5
|
Mapping the living mouse brain neural architecture: strain-specific patterns of brain structural and functional connectivity. Brain Struct Funct 2021; 226:647-669. [PMID: 33635426 DOI: 10.1007/s00429-020-02190-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 11/27/2020] [Indexed: 10/22/2022]
Abstract
Mapping brain structural and functional connectivity (FC) became an essential approach in neuroscience as network properties can underlie behavioral phenotypes. In mouse models, revealing strain-related patterns of brain wiring is crucial, since these animals are used to answer questions related to neurological or neuropsychiatric disorders. C57BL/6 and BALB/cJ strains are two of the primary "genetic backgrounds" for modeling brain disease and testing therapeutic approaches. However, extensive literature describes basal differences in the behavioral, neuroanatomical and neurochemical profiles of the two strains, which raises questions on whether the observed effects are pathology specific or depend on the genetic background of each strain. Here, we performed a systematic comparative exploration of brain structure and function of C57BL/6 and BALB/cJ mice using Magnetic Resonance Imaging (MRI). We combined deformation-based morphometry (DBM), diffusion MRI and high-resolution fiber mapping (hrFM) along with resting-state functional MRI (rs-fMRI) and demonstrated brain-wide differences in the morphology and "connectome" features of the two strains. Essential inter-strain differences were depicted regarding the size and the fiber density (FD) within frontal cortices, along cortico-striatal, thalamic and midbrain pathways as well as genu and splenium of corpus callosum. Structural dissimilarities were accompanied by specific FC patterns, emphasizing strain differences in frontal and basal forebrain functional networks as well as hubness characteristics. Rs-fMRI data further indicated differences of reward-aversion circuitry and default mode network (DMN) patterns. The inter-hemispherical FC showed flexibility and strain-specific adjustment of their patterns in agreement with the structural characteristics.
Collapse
|
6
|
Hiremath CS, Sagar KJV, Yamini BK, Girimaji AS, Kumar R, Sravanti SL, Padmanabha H, Vykunta Raju KN, Kishore MT, Jacob P, Saini J, Bharath RD, Seshadri SP, Kumar M. Emerging behavioral and neuroimaging biomarkers for early and accurate characterization of autism spectrum disorders: a systematic review. Transl Psychiatry 2021; 11:42. [PMID: 33441539 PMCID: PMC7806884 DOI: 10.1038/s41398-020-01178-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/19/2020] [Accepted: 12/01/2020] [Indexed: 01/29/2023] Open
Abstract
The possibility of early treatment and a better outcome is the direct product of early identification and characterization of any pathological condition. Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairment in social communication, restricted, and repetitive patterns of behavior. In recent times, various tools and methods have been developed for the early identification and characterization of ASD features as early as 6 months of age. Thorough and exhaustive research has been done to identify biomarkers in ASD using noninvasive neuroimaging and various molecular methods. By employing advanced assessment tools such as MRI and behavioral assessment methods for accurate characterization of the ASD features and may facilitate pre-emptive interventional and targeted therapy programs. However, the application of advanced quantitative MRI methods is still confined to investigational/laboratory settings, and the clinical implication of these imaging methods in personalized medicine is still in infancy. Longitudinal research studies in neurodevelopmental disorders are the need of the hour for accurate characterization of brain-behavioral changes that could be monitored over a period of time. These findings would be more reliable and consistent with translating into the clinics. This review article aims to focus on the recent advancement of early biomarkers for the characterization of ASD features at a younger age using behavioral and quantitative MRI methods.
Collapse
Affiliation(s)
- Chandrakanta S Hiremath
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Kommu John Vijay Sagar
- Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - B K Yamini
- Department of Speech Pathology and Audiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Akhila S Girimaji
- Department of Speech Pathology and Audiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Raghavendra Kumar
- Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Sanivarapu Lakshmi Sravanti
- Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Hansashree Padmanabha
- Department of Neurology, National Institute of Mental Health and Neuroscience, Bengaluru, India
| | - K N Vykunta Raju
- Department of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bengaluru, India
| | - M Thomas Kishore
- Department of Clinical Psychology, National Institute of Mental Health and Neuroscience, Bengaluru, India
| | - Preeti Jacob
- Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Rose D Bharath
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Shekhar P Seshadri
- Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Manoj Kumar
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India.
| |
Collapse
|
7
|
Eed A, Cerdán Cerdá A, Lerma J, De Santis S. Diffusion-weighted MRI in neurodegenerative and psychiatric animal models: Experimental strategies and main outcomes. J Neurosci Methods 2020; 343:108814. [PMID: 32569785 DOI: 10.1016/j.jneumeth.2020.108814] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 06/15/2020] [Accepted: 06/16/2020] [Indexed: 12/31/2022]
Abstract
Preclinical MRI approaches constitute a key tool to study a wide variety of neurological and psychiatric illnesses, allowing a more direct investigation of the disorder substrate and, at the same time, the possibility of back-translating such findings to human subjects. However, the lack of consensus on the optimal experimental scheme used to acquire the data has led to relatively high heterogeneity in the choice of protocols, which can potentially impact the comparison between results obtained by different groups, even using the same animal model. This is especially true for diffusion-weighted MRI data, where certain experimental choices can impact not only on the accuracy and precision of the extracted biomarkers, but also on their biological meaning. With this in mind, we extensively examined preclinical imaging studies that used diffusion-weighted MRI to investigate neurodegenerative, neurodevelopmental and psychiatric disorders in rodent models. In this review, we discuss the main findings for each preclinical model, with a special focus on the analysis and comparison of the different acquisition strategies used across studies and their impact on the heterogeneity of the findings.
Collapse
Affiliation(s)
- Amr Eed
- Instituto de Neurociencias, CSIC, UMH, San Juan de Alicante, Alicante, Spain
| | | | - Juan Lerma
- Instituto de Neurociencias, CSIC, UMH, San Juan de Alicante, Alicante, Spain
| | - Silvia De Santis
- Instituto de Neurociencias, CSIC, UMH, San Juan de Alicante, Alicante, Spain; CUBRIC, School of Psychology, Cardiff University, Cardiff, UK.
| |
Collapse
|
8
|
Tsurugizawa T, Tamada K, Ono N, Karakawa S, Kodama Y, Debacker C, Hata J, Okano H, Kitamura A, Zalesky A, Takumi T. Awake functional MRI detects neural circuit dysfunction in a mouse model of autism. SCIENCE ADVANCES 2020; 6:eaav4520. [PMID: 32076634 PMCID: PMC7002125 DOI: 10.1126/sciadv.aav4520] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 11/22/2019] [Indexed: 05/05/2023]
Abstract
MRI has potential as a translational approach from rodents to humans. However, given that mouse functional MRI (fMRI) uses anesthetics for suppression of motion, it has been difficult to directly compare the result of fMRI in "unconsciousness" disease model mice with that in "consciousness" patients. We develop awake fMRI to investigate brain function in 15q dup mice, a copy number variation model of autism. Compared to wild-type mice, we find that 15q dup is associated with whole-brain functional hypoconnectivity and diminished fMRI responses to odors of stranger mice. Ex vivo diffusion MRI reveals widespread anomalies in white matter ultrastructure in 15q dup mice, suggesting a putative anatomical substrate for these functional hypoconnectivity. We show that d-cycloserine (DCS) treatment partially normalizes these anormalies in the frontal cortex of 15q dup mice and rescues some social behaviors. Our results demonstrate the utility of awake rodent fMRI and provide a rationale for further investigation of DCS therapy.
Collapse
Affiliation(s)
- Tomokazu Tsurugizawa
- NeuroSpin, Commissariat à l’Energie Atomique et aux Energies Alternatives, CEA Saclay, Gif-sur-Yvette 91191, France
- Corresponding author. (T.Ts.); (T.Ta.)
| | - Kota Tamada
- RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
| | - Nobukazu Ono
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki 210-8681, Japan
| | - Sachise Karakawa
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki 210-8681, Japan
| | - Yuko Kodama
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki 210-8681, Japan
| | - Clement Debacker
- NeuroSpin, Commissariat à l’Energie Atomique et aux Energies Alternatives, CEA Saclay, Gif-sur-Yvette 91191, France
| | - Junichi Hata
- RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
- Department of Physiology, Keio University School of Medicine, Shinjuku, Tokyo 160-8585, Japan
| | - Hideyuki Okano
- RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
- Department of Physiology, Keio University School of Medicine, Shinjuku, Tokyo 160-8585, Japan
| | - Akihiko Kitamura
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki 210-8681, Japan
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre and Department of Biomedical Engineering, University of Melbourne, Victoria 3010, Australia
| | - Toru Takumi
- RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
- Department of Physiology and Cell Biology, Kobe University School of Medicine, Chuo, Kobe 650-0017, Japan
- Corresponding author. (T.Ts.); (T.Ta.)
| |
Collapse
|
9
|
Jesse S, Müller HP, Schoen M, Asoglu H, Bockmann J, Huppertz HJ, Rasche V, Ludolph AC, Boeckers TM, Kassubek J. Severe white matter damage in SHANK3 deficiency: a human and translational study. Ann Clin Transl Neurol 2019; 7:46-58. [PMID: 31788990 PMCID: PMC6952316 DOI: 10.1002/acn3.50959] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Revised: 11/08/2019] [Accepted: 11/09/2019] [Indexed: 12/14/2022] Open
Abstract
Objective Heterozygous SHANK3 mutations or partial deletions of the long arm of chromosome 22, also known as Phelan–McDermid syndrome, result in a syndromic form of the autism spectrum as well as in global developmental delay, intellectual disability, and several neuropsychiatric comorbidities. The exact pathophysiological mechanisms underlying the disease are still far from being deciphered but studies of SHANK3 models have contributed to the understanding of how the loss of the synaptic protein SHANK3 affects neuronal function. Methods and results Diffusion tensor imaging‐based and automatic volumetric brain mapping were performed in 12 SHANK3‐deficient participants (mean age 19 ± 15 years) versus 14 age‐ and gender‐matched controls (mean age 29 ± 5 years). Using whole brain–based spatial statistics, we observed a highly significant pattern of white matter alterations in participants with SHANK3 mutations with focus on the long association fiber tracts, particularly the uncinate tract and the inferior fronto‐occipital fasciculus. In contrast, only subtle gray matter volumetric abnormalities were detectable. In a back‐translational approach, we observed similar white matter alterations in heterozygous isoform–specific Shank3 knockout (KO) mice. Here, in the baseline data sets, the comparison of Shank3 heterozygous KO vs wildtype showed significant fractional anisotropy reduction of the long fiber tract systems in the KO model. The multiparametric Magnetic Resonance Imaging (MRI) analysis by DTI and volumetry demonstrated a pathology pattern with severe white matter alterations and only subtle gray matter changes in the animal model. Interpretation In summary, these translational data provide strong evidence that the SHANK3‐deficiency–associated pathomechanism presents predominantly with a white matter disease. Further studies should concentrate on the role of SHANK3 during early axonal pathfinding/wiring and in myelin formation.
Collapse
Affiliation(s)
- Sarah Jesse
- Department of Neurology, Ulm University, Ulm, Germany
| | | | - Michael Schoen
- Institute for Anatomy and Cell Biology, Ulm University, Ulm, Germany
| | - Harun Asoglu
- Institute for Anatomy and Cell Biology, Ulm University, Ulm, Germany
| | - Juergen Bockmann
- Institute for Anatomy and Cell Biology, Ulm University, Ulm, Germany
| | | | - Volker Rasche
- Core Facility Small Animal MRI, Ulm University, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, Ulm University, Ulm, Germany.,DZNE Site, Ulm, Germany
| | - Tobias M Boeckers
- Institute for Anatomy and Cell Biology, Ulm University, Ulm, Germany.,DZNE Site, Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, Ulm University, Ulm, Germany
| |
Collapse
|
10
|
Pervolaraki E, Tyson AL, Pibiri F, Poulter SL, Reichelt AC, Rodgers RJ, Clapcote SJ, Lever C, Andreae LC, Dachtler J. The within-subject application of diffusion tensor MRI and CLARITY reveals brain structural changes in Nrxn2 deletion mice. Mol Autism 2019; 10:8. [PMID: 30858964 PMCID: PMC6394023 DOI: 10.1186/s13229-019-0261-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 02/18/2019] [Indexed: 01/08/2023] Open
Abstract
Background Of the many genetic mutations known to increase the risk of autism spectrum disorder, a large proportion cluster upon synaptic proteins. One such family of presynaptic proteins are the neurexins (NRXN), and recent genetic and mouse evidence has suggested a causative role for NRXN2 in generating altered social behaviours. Autism has been conceptualised as a disorder of atypical connectivity, yet how single-gene mutations affect such connectivity remains under-explored. To attempt to address this, we have developed a quantitative analysis of microstructure and structural connectivity leveraging diffusion tensor MRI (DTI) with high-resolution 3D imaging in optically cleared (CLARITY) brain tissue in the same mouse, applied here to the Nrxn2α knockout (KO) model. Methods Fixed brains of Nrxn2α KO mice underwent DTI using 9.4 T MRI, and diffusion properties of socially relevant brain regions were quantified. The same tissue was then subjected to CLARITY to immunolabel axons and cell bodies, which were also quantified. Results DTI revealed increases in fractional anisotropy in the amygdala (including the basolateral nuclei), the anterior cingulate cortex, the orbitofrontal cortex and the hippocampus. Axial diffusivity of the anterior cingulate cortex and orbitofrontal cortex was significantly increased in Nrxn2α KO mice, as were tracts between the amygdala and the orbitofrontal cortex. Using CLARITY, we find significantly altered axonal orientation in the amygdala, orbitofrontal cortex and the anterior cingulate cortex, which was unrelated to cell density. Conclusions Our findings demonstrate that deleting a single neurexin gene (Nrxn2α) induces atypical structural connectivity within socially relevant brain regions. More generally, our combined within-subject DTI and CLARITY approach presents a new, more sensitive method of revealing hitherto undetectable differences in the autistic brain. Electronic supplementary material The online version of this article (10.1186/s13229-019-0261-9) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
| | - Adam L Tyson
- 2Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE1 1UL UK.,3MRC Centre for Neurodevelopmental Disorders, King's College London, London, SE1 1UL UK.,4Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF UK
| | - Francesca Pibiri
- 5Department of Psychology, Durham University, South Road, Durham, DH1 3LE UK
| | - Steven L Poulter
- 5Department of Psychology, Durham University, South Road, Durham, DH1 3LE UK
| | - Amy C Reichelt
- 6Robarts Research Institute, Western University, London, ON N6A 5B7 Canada
| | - R John Rodgers
- 7School of Psychology, University of Leeds, Leeds, LS2 9JT UK
| | - Steven J Clapcote
- 1School of Biomedical Sciences, University of Leeds, Leeds, LS2 9JT UK
| | - Colin Lever
- 5Department of Psychology, Durham University, South Road, Durham, DH1 3LE UK
| | - Laura C Andreae
- 2Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE1 1UL UK.,3MRC Centre for Neurodevelopmental Disorders, King's College London, London, SE1 1UL UK
| | - James Dachtler
- 1School of Biomedical Sciences, University of Leeds, Leeds, LS2 9JT UK.,5Department of Psychology, Durham University, South Road, Durham, DH1 3LE UK
| |
Collapse
|
11
|
Rowley PA, Guerrero-Gonzalez J, Alexander AL, Yu JPJ. Convergent microstructural brain changes across genetic models of autism spectrum disorder-A pilot study. Psychiatry Res Neuroimaging 2019; 283:83-91. [PMID: 30557783 PMCID: PMC6398946 DOI: 10.1016/j.pscychresns.2018.12.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 12/07/2018] [Accepted: 12/07/2018] [Indexed: 10/27/2022]
Abstract
Autism spectrum disorder (ASD) is a complex and genetically heterogeneous neuropsychiatric disease affecting as many as 1 in 68 children. Large scale genetic sequencing of individuals along the autism spectrum has uncovered several genetic risk factors for ASD; however, understanding how, and to what extent, individual genes contribute to the overall disease phenotype remains unclear. Neuroimaging studies of ASD have revealed a wide spectrum of structural and functional perturbations that are thought to reflect, in part, the complex genetic heterogeneity underpinning ASD. These perturbations, in both preclinical models and clinical patients, were identified in preclinical genetic models and ASD patients when compared to control populations; however, few studies have directly explored intrinsic differences between the models themselves. To better understand the degree and extent to which individual genes associated with ASD differ in their contribution to global measures of white matter microstructure, diffusion tensor imaging (DTI) was acquired from three novel rat genetic models of ASD (Fmr1, Nrxn1, and Pten) and DTI parameters of fractional anisotropy, mean, axial, and radial diffusivity were measured. Subsequent whole-brain voxel-wise analysis comparing each genetic model to each other (Fmr1:Nrxn1; Fmr1:Pten; Nrxn1:Pten) identified no significant differences in any comparison for all diffusion parameters assessed (FA, AD, MD, RD).
Collapse
Affiliation(s)
- Paul A Rowley
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
| | - Jose Guerrero-Gonzalez
- Department of Medical Physics, Wisconsin Institutes for Medical Research, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
| | - Andrew L Alexander
- Department of Medical Physics, Wisconsin Institutes for Medical Research, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA; Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Psychiatry, University of Wisconsin, School of Medicine and Public Health, Madison, WI 53705, USA
| | - John-Paul J Yu
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA; Department of Psychiatry, University of Wisconsin, School of Medicine and Public Health, Madison, WI 53705, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, 53706 USA; Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, 53705 USA.
| |
Collapse
|
12
|
Bajwa NM, Lee JB, Halavi S, Hartman RE, Obenaus A. Repeated isoflurane in adult male mice leads to acute and persistent motor decrements with long-term modifications in corpus callosum microstructural integrity. J Neurosci Res 2018; 97:332-345. [DOI: 10.1002/jnr.24343] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 09/28/2018] [Accepted: 09/28/2018] [Indexed: 12/24/2022]
Affiliation(s)
- Nikita M. Bajwa
- Musculoskeletal Disease Center; VA Loma Linda Healthcare System; Loma Linda California
| | - Jeong B. Lee
- Department of Basic Sciences, School of Medicine; Loma Linda University; Loma Linda California
| | - Shina Halavi
- Department of Psychology, School of Behavioral Health; Loma Linda University; Loma Linda California
| | - Richard E. Hartman
- Department of Psychology, School of Behavioral Health; Loma Linda University; Loma Linda California
| | - Andre Obenaus
- Department of Basic Sciences, School of Medicine; Loma Linda University; Loma Linda California
- Department of Pediatrics, School of Medicine; University of California; Irvine California
| |
Collapse
|
13
|
Koolschijn PCMP, Caan MWA, Teeuw J, Olabarriaga SD, Geurts HM. Age-related differences in autism: The case of white matter microstructure. Hum Brain Mapp 2016; 38:82-96. [PMID: 27511627 DOI: 10.1002/hbm.23345] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 07/25/2016] [Accepted: 08/01/2016] [Indexed: 11/09/2022] Open
Abstract
Autism spectrum disorder (ASD) is typified as a brain connectivity disorder in which white matter abnormalities are already present early on in life. However, it is unknown if and to which extent these abnormalities are hard-wired in (older) adults with ASD and how this interacts with age-related white matter changes as observed in typical aging. The aim of this first cross-sectional study in mid- and late-aged adults with ASD was to characterize white matter microstructure and its relationship with age. We utilized diffusion tensor imaging with head motion control in 48 adults with ASD and 48 age-matched controls (30-74 years), who also completed a Flanker task. Intra-individual variability of reaction times (IIVRT) measures based on performance on the Flanker interference task were used to assess IIVRT-white matter microstructure associations. We observed primarily higher mean and radial diffusivity in white matter microstructure in ASD, particularly in long-range fibers, which persisted after taking head motion into account. Importantly, group-by-age interactions revealed higher age-related mean and radial diffusivity in ASD, in projection and association fiber tracts. Subtle dissociations were observed in IIVRT-white matter microstructure relations between groups, with the IIVRT-white matter association pattern in ASD resembling observations in cognitive aging. The observed white matter microstructure differences are lending support to the structural underconnectivity hypothesis in ASD. These reductions seem to have behavioral percussions given the atypical relationship with IIVRT. Taken together, the current results may indicate different age-related patterns of white matter microstructure in adults with ASD. Hum Brain Mapp 38:82-96, 2017. © 2016 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- P Cédric M P Koolschijn
- Dutch Autism & ADHD Research Center, Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition (ABC), University of Amsterdam, Amsterdam, The Netherlands
| | - Matthan W A Caan
- Department of Radiology, Brain Imaging Center, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Jalmar Teeuw
- Department of Radiology, Brain Imaging Center, Academic Medical Center, University of Amsterdam, The Netherlands.,Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sílvia D Olabarriaga
- Department of Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Hilde M Geurts
- Dutch Autism & ADHD Research Center, Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition (ABC), University of Amsterdam, Amsterdam, The Netherlands.,Dr Leo Kannerhuis, The Netherlands
| |
Collapse
|
14
|
Kumar M, Duda JT, Yoon SY, Bagel J, O'Donnell P, Vite C, Pickup S, Gee JC, Wolfe JH, Poptani H. Diffusion Tensor Imaging for Assessing Brain Gray and White Matter Abnormalities in a Feline Model of α-Mannosidosis. J Neuropathol Exp Neurol 2016; 75:35-43. [PMID: 26671987 DOI: 10.1093/jnen/nlv007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
α-Mannosidosis (AMD) is an autosomal recessively inherited lysosomal storage disorder affecting brain function and structure. We performed ex vivo and in vivo diffusion tensor imaging (DTI) on the brains of AMD-affected cats to assess gray and white matter abnormalities. A multi-atlas approach was used to generate a brain template to process the ex vivo DTI data. The probabilistic label method was used to measure fractional anisotropy (FA), mean diffusivity, axial diffusivity, and radial diffusivity values from gray and white matter regions from ex vivo DTI. Regional analysis from various regions of the gray matter (frontal cortex, cingulate gyrus, caudate nucleus, hippocampus, thalamus, and occipital cortex), and white matter (corpus callosum, corticospinal tract, cerebral peduncle, external and internal capsule) was also performed on both ex vivo and in vivo DTI. Ex vivo DTI revealed significantly reduced FA from both gray and white matter regions in AMD-affected cats compared to controls. Significantly reduced FA was also observed from in vivo DTI of AMD-affected cats compared to controls, with lower FA values observed in all white matter regions. We also observed significantly increased axial and radial diffusivity values in various gray and white matter regions in AMD cats from both ex vivo and in vivo DTI data. Imaging findings were correlated with histopathologic analyses suggesting that DTI studies can further aid in the characterization of AMD by assessing the microstructural abnormalities in both white and gray matter.
Collapse
|
15
|
Abstract
In order to understand the consequences of the mutation on behavioral and biological phenotypes relevant to autism, mutations in many of the risk genes for autism spectrum disorder have been experimentally generated in mice. Here, we summarize behavioral outcomes and neuroanatomical abnormalities, with a focus on high-resolution magnetic resonance imaging of postmortem mouse brains. Results are described from multiple mouse models of autism spectrum disorder and comorbid syndromes, including the 15q11-13, 16p11.2, 22q11.2, Cntnap2, Engrailed2, Fragile X, Integrinβ3, MET, Neurexin1a, Neuroligin3, Reelin, Rett, Shank3, Slc6a4, tuberous sclerosis, and Williams syndrome models, and inbred strains with strong autism-relevant behavioral phenotypes, including BTBR and BALB. Concomitant behavioral and neuroanatomical abnormalities can strengthen the interpretation of results from a mouse model, and may elevate the usefulness of the model system for therapeutic discovery.
Collapse
Affiliation(s)
- Jacob Ellegood
- />Mouse Imaging Centre (MICe), Hospital for Sick Children, 25 Orde Street, Toronto, ON M5T 3H7 Canada
| | - Jacqueline N. Crawley
- />MIND Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, 4625 2nd Avenue, Sacramento, CA 95817 USA
| |
Collapse
|
16
|
High resolution magnetic resonance imaging for characterization of the neuroligin-3 knock-in mouse model associated with autism spectrum disorder. PLoS One 2014; 9:e109872. [PMID: 25299583 PMCID: PMC4192590 DOI: 10.1371/journal.pone.0109872] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Accepted: 09/14/2014] [Indexed: 11/19/2022] Open
Abstract
Autism spectrum disorders (ASD) comprise an etiologically heterogeneous set of neurodevelopmental disorders. Neuroligin-3 (NL-3) is a cell adhesion protein that mediates synapse development and has been implicated in ASD. We performed ex-vivo high resolution magnetic resonance imaging (MRI), including diffusion tensor imaging (DTI) and behavioral (social approach and zero maze) tests at 3 different time points (30, 50 and 70 days-of-age) on NL-3 and wild-type littermates to assess developmental brain abnormalities in NL-3 mice. MRI data were segmented in 39 different gray and white matter regions. Volumetric measurements, along with DTI indices from these segmented regions were also performed. After controlling for age and gender, the NL-3 knock-in animals demonstrated significantly reduced sociability and lower anxiety-related behavior in comparison to their wild type littermates. Significantly reduced volume of several white and gray matter regions in the NL-3 knock-in mice were also observed after considering age, gender and time point as covariates. These findings suggest that structural changes in the brain of NL-3 mice are induced by the mutation in the NL-3 gene. No significant differences in DTI indices were observed, which suggests that the NL-3 mutation may not have a profound effect on water diffusion as detected by DTI. The volumetric and DTI studies aid in understanding the biology of disrupting function on an ASD risk model and may assist in the development of imaging biomarkers for ASD.
Collapse
|
17
|
Semple BD, Noble-Haeusslein LJ, Jun Kwon Y, Sam PN, Gibson AM, Grissom S, Brown S, Adahman Z, Hollingsworth CA, Kwakye A, Gimlin K, Wilde EA, Hanten G, Levin HS, Schenk AK. Sociosexual and communication deficits after traumatic injury to the developing murine brain. PLoS One 2014; 9:e103386. [PMID: 25106033 PMCID: PMC4126664 DOI: 10.1371/journal.pone.0103386] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2014] [Accepted: 06/10/2014] [Indexed: 12/19/2022] Open
Abstract
Despite the life-long implications of social and communication dysfunction after pediatric traumatic brain injury, there is a poor understanding of these deficits in terms of their developmental trajectory and underlying mechanisms. In a well-characterized murine model of pediatric brain injury, we recently demonstrated that pronounced deficits in social interactions emerge across maturation to adulthood after injury at postnatal day (p) 21, approximating a toddler-aged child. Extending these findings, we here hypothesized that these social deficits are dependent upon brain maturation at the time of injury, and coincide with abnormal sociosexual behaviors and communication. Age-dependent vulnerability of the developing brain to social deficits was addressed by comparing behavioral and neuroanatomical outcomes in mice injured at either a pediatric age (p21) or during adolescence (p35). Sociosexual behaviors including social investigation and mounting were evaluated in a resident-intruder paradigm at adulthood. These outcomes were complemented by assays of urine scent marking and ultrasonic vocalizations as indices of social communication. We provide evidence of sociosexual deficits after brain injury at p21, which manifest as reduced mounting behavior and scent marking towards an unfamiliar female at adulthood. In contrast, with the exception of the loss of social recognition in a three-chamber social approach task, mice that received TBI at adolescence were remarkably resilient to social deficits at adulthood. Increased emission of ultrasonic vocalizations (USVs) as well as preferential emission of high frequency USVs after injury was dependent upon both the stimulus and prior social experience. Contrary to the hypothesis that changes in white matter volume may underlie social dysfunction, injury at both p21 and p35 resulted in a similar degree of atrophy of the corpus callosum by adulthood. However, loss of hippocampal tissue was greater after p21 compared to p35 injury, suggesting that a longer period of lesion progression or differences in the kinetics of secondary pathogenesis after p21 injury may contribute to observed behavioral differences. Together, these findings indicate vulnerability of the developing brain to social dysfunction, and suggest that a younger age-at-insult results in poorer social and sociosexual outcomes.
Collapse
Affiliation(s)
- Bridgette D. Semple
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America
- Department of Medicine (Royal Melbourne Hospital), Melbourne Brain Centre, University of Melbourne, Parkville, Victoria, Australia
- * E-mail:
| | - Linda J. Noble-Haeusslein
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America
- Department of Physical Therapy and Rehabilitation, University of California San Francisco, San Francisco, California, United States of America
| | - Yong Jun Kwon
- Department of Physics, Randolph College, Lynchburg, Virginia, United States of America
| | - Pingdewinde N. Sam
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America
- San Francisco State University, San Francisco, California, United States of America
| | - A. Matt Gibson
- Department of Physics, Randolph College, Lynchburg, Virginia, United States of America
| | - Sarah Grissom
- Department of Physics, Randolph College, Lynchburg, Virginia, United States of America
| | - Sienna Brown
- Department of Physics, Randolph College, Lynchburg, Virginia, United States of America
| | - Zahra Adahman
- Department of Physics, Randolph College, Lynchburg, Virginia, United States of America
| | | | - Alexander Kwakye
- Department of Physics, Randolph College, Lynchburg, Virginia, United States of America
| | - Kayleen Gimlin
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, United States of America
| | - Elisabeth A. Wilde
- Physical Medicine and Rehabilitation Alliance of Baylor College of Medicine and the University of Texas-Houston Medical School, Houston, Texas, United States of America
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, United States of America
| | - Gerri Hanten
- Physical Medicine and Rehabilitation Alliance of Baylor College of Medicine and the University of Texas-Houston Medical School, Houston, Texas, United States of America
| | - Harvey S. Levin
- Physical Medicine and Rehabilitation Alliance of Baylor College of Medicine and the University of Texas-Houston Medical School, Houston, Texas, United States of America
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, United States of America
| | - A. Katrin Schenk
- Department of Physics, Randolph College, Lynchburg, Virginia, United States of America
| |
Collapse
|
18
|
Petrinovic MM, Künnecke B. Neuroimaging endophenotypes in animal models of autism spectrum disorders: lost or found in translation? Psychopharmacology (Berl) 2014; 231:1167-89. [PMID: 23852013 DOI: 10.1007/s00213-013-3200-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Accepted: 06/26/2013] [Indexed: 11/26/2022]
Abstract
RATIONALE Autism spectrum disorder(s) (ASDs) is a neurodevelopmental disorder characterized by stereotyped behaviours and impairments in communication and social interactions. This heterogeneity has been a major obstacle in uncovering the aetiology and biomarkers of ASDs. Rodent models with genetic modifications or environmental insults have been created to study particular endophenotypes and bridge the gap between genetics and behavioural phenotypes. Translational neuroimaging modalities with their ability to screen the brain noninvasively and yield structural, biochemical and functional information provide a unique platform for discovery and evaluation of such endophenotypes in preclinical and clinical research. OBJECTIVES We reviewed literature on translational neuroimaging in rodent models of ASDs. The most prominent models will be described and the respective neuroimaging endophenotypes will be discussed with reference to human data. A perspective on future directions of translational neuroimaging in animal models of ASDs will be given. RESULTS AND CONCLUSIONS To date, we experience a proliferation of rodent models which recapitulate specific liabilities identified in ASDs patients. Translational neuroimaging in these models is emerging but is skewed towards magnetic resonance imaging (MRI) modalities. Volumetric and structural assessments of the brain are dominating and a host of endophenotypes have been reported that allude to findings in ASDs patients but with only few to converge among the models. Caveats of current studies are the diverging biological conditions related to genetic background and age of the animals. It is anticipated that longitudinal and functional assessments will gain much importance and will help elucidating mechanistic relationship between behavioural and structural endophenotypes.
Collapse
Affiliation(s)
- Marija M Petrinovic
- F. Hoffmann-La Roche AG, pRED, Pharma Research and Early Development, DTA Neuroscience, Building 68, Room 327A, Grenzacherstrasse 124, 4070, Basel, Switzerland
| | | |
Collapse
|
19
|
Menashe I, Grange P, Larsen EC, Banerjee-Basu S, Mitra PP. Co-expression profiling of autism genes in the mouse brain. PLoS Comput Biol 2013; 9:e1003128. [PMID: 23935468 PMCID: PMC3723491 DOI: 10.1371/journal.pcbi.1003128] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2013] [Accepted: 05/21/2013] [Indexed: 11/17/2022] Open
Abstract
Autism spectrum disorder (ASD) is one of the most prevalent and highly heritable neurodevelopmental disorders in humans. There is significant evidence that the onset and severity of ASD is governed in part by complex genetic mechanisms affecting the normal development of the brain. To date, a number of genes have been associated with ASD. However, the temporal and spatial co-expression of these genes in the brain remain unclear. To address this issue, we examined the co-expression network of 26 autism genes from AutDB (http://mindspec.org/autdb.html), in the framework of 3,041 genes whose expression energies have the highest correlation between the coronal and sagittal images from the Allen Mouse Brain Atlas database (http://mouse.brain-map.org). These data were derived from in situ hybridization experiments conducted on male, 56-day old C57BL/6J mice co-registered to the Allen Reference Atlas, and were used to generate a normalized co-expression matrix indicating the cosine similarity between expression vectors of genes in this database. The network formed by the autism-associated genes showed a higher degree of co-expression connectivity than seen for the other genes in this dataset (Kolmogorov-Smirnov P = 5×10⁻²⁸). Using Monte Carlo simulations, we identified two cliques of co-expressed genes that were significantly enriched with autism genes (A Bonferroni corrected P<0.05). Genes in both these cliques were significantly over-expressed in the cerebellar cortex (P = 1×10⁻⁵) suggesting possible implication of this brain region in autism. In conclusion, our study provides a detailed profiling of co-expression patterns of autism genes in the mouse brain, and suggests specific brain regions and new candidate genes that could be involved in autism etiology.
Collapse
Affiliation(s)
- Idan Menashe
- MindSpec, McLean, Virginia, United States of America.
| | | | | | | | | |
Collapse
|
20
|
Miller VM, Gupta D, Neu N, Cotroneo A, Boulay CB, Seegal RF. Novel inter-hemispheric white matter connectivity in the BTBR mouse model of autism. Brain Res 2013; 1513:26-33. [PMID: 23570707 DOI: 10.1016/j.brainres.2013.04.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2012] [Revised: 03/29/2013] [Accepted: 04/01/2013] [Indexed: 01/23/2023]
Abstract
Alterations in the volume, density, connectivity and functional activation of white matter tracts are reported in some individuals with autism and may contribute to their abnormal behaviors. The BTBR (BTBR T+tf/J) inbred strain of mouse, is used to model facets of autism because they develop low social behaviors, stereotypical and immune changes similar to those found in people with autism. Previously, it was thought a total absence of corpus callosal interhemispheric connective tissues in the BTBR mice may underlie their abnormal behaviors. However, postnatal lesions of the corpus callosum do not precipitate social behavioral problems in other strains of mice suggesting a flaw in this theory. In this study we used digital pathological methods to compare subcortical white matter connective tracts in the BTBR strain of mice with those found in the C57Bl/6 mouse and those reported in a standardized mouse brain atlas. We report, for the first time, a novel connective subcortical interhemispheric bridge of tissue in the posterior, but not anterior, cerebrum of the BTBR mouse. These novel connective tissues are comprised of myelinated fibers, with reduced myelin basic protein levels (MBP) compared to levels in the C57Bl/6 mouse. We used electrophysiological analysis and found increased inter-hemispheric connectivity in the posterior hemispheres of the BTBR strain compared with the anterior hemispheres. The conduction velocity was slower than that reported in normal mice. This study shows there is novel abnormal interhemispheric connectivity in the BTBR strain of mice, which may contribute to their behavioral abnormalities.
Collapse
Affiliation(s)
- V M Miller
- Wadsworth Center for Laboratories and Research, New York State Department of Health, Empire State Plaza, Albany, NY 12201-0509, USA.
| | | | | | | | | | | |
Collapse
|
21
|
Ding AY, Li Q, Zhou IY, Ma SJ, Tong G, McAlonan GM, Wu EX. MR diffusion tensor imaging detects rapid microstructural changes in amygdala and hippocampus following fear conditioning in mice. PLoS One 2013; 8:e51704. [PMID: 23382811 PMCID: PMC3559642 DOI: 10.1371/journal.pone.0051704] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2012] [Accepted: 11/05/2012] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Following fear conditioning (FC), ex vivo evidence suggests that early dynamics of cellular and molecular plasticity in amygdala and hippocampal circuits mediate responses to fear. Such altered dynamics in fear circuits are thought to be etiologically related to anxiety disorders including posttraumatic stress disorder (PTSD). Consistent with this, neuroimaging studies of individuals with established PTSD in the months after trauma have revealed changes in brain regions responsible for processing fear. However, whether early changes in fear circuits can be captured in vivo is not known. METHODS We hypothesized that in vivo magnetic resonance diffusion tensor imaging (DTI) would be sensitive to rapid microstructural changes elicited by FC in an experimental mouse PTSD model. We employed a repeated measures paired design to compare in vivo DTI measurements before, one hour after, and one day after FC-exposed mice (n=18). RESULTS Using voxel-wise repeated measures analysis, fractional anisotropy (FA) significantly increased then decreased in amygdala, decreased then increased in hippocampus, and was increasing in cingulum and adjacent gray matter one hour and one day post-FC respectively. These findings demonstrate that DTI is sensitive to early changes in brain microstructure following FC, and that FC elicits distinct, rapid in vivo responses in amygdala and hippocampus. CONCLUSIONS Our results indicate that DTI can detect rapid microstructural changes in brain regions known to mediate fear conditioning in vivo. DTI indices could be explored as a translational tool to capture potential early biological changes in individuals at risk for developing PTSD.
Collapse
Affiliation(s)
- Abby Y. Ding
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Qi Li
- Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China
- Centre for Reproduction Growth and Development, The University of Hong Kong, Hong Kong SAR, China
| | - Iris Y. Zhou
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Samantha J. Ma
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
| | - Gehua Tong
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
| | - Grainne M. McAlonan
- Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China
- Centre for Reproduction Growth and Development, The University of Hong Kong, Hong Kong SAR, China
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, King’s College London
| | - Ed X. Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
- Department of Anatomy, The University of Hong Kong, Hong Kong SAR, China
| |
Collapse
|
22
|
Müller HP, Vernikouskaya I, Ludolph AC, Kassubek J, Rasche V. Fast diffusion tensor magnetic resonance imaging of the mouse brain at ultrahigh-field: aiming at cohort studies. PLoS One 2012; 7:e53389. [PMID: 23285289 PMCID: PMC3532447 DOI: 10.1371/journal.pone.0053389] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2012] [Accepted: 11/27/2012] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION In-vivo high resolution diffusion tensor imaging (DTI) of the mouse brain is often limited by the low signal to noise ratio (SNR) resulting from the required small voxel sizes. Recently, cryogenically cooled resonators (CCR) have demonstrated significant increase of the effective SNR. It is the objective of this study to enable fast DTI of the mouse brain. In this context, CCRs appear attractive for SNR improvement. METHODS Three mice underwent a DTI examination at 156²×250 µm³ spatial resolution with a CCR at ultrahigh field (11.7T). Diffusion images were acquired along 30 gradient directions plus 5 references without diffusion encoding, resulting in a total acquisition time of 35 minutes. For comparison, mice additionally underwent a standardized 110 minutes acquisition protocol published earlier. Fractional anisotropy (FA) and fiber tracking (FT) results including quantitative tractwise fractional anisotropy statistics (TFAS) were qualitatively and quantitatively compared. RESULTS Qualitative and quantitative assessment of the calculated fractional anisotropy maps and fibre tracking results showed coinciding outcome comparing 35 minute scans to the standardized 110 minute scan. Coefficients of variation for ROI-based FA-comparison as well as for TFAS revealed comparable results for the different scanning protocols. CONCLUSION Mouse DTI at 11.7 T was performed with an acquisition time of approximately 30 minutes, which is considered feasible for cohort studies. The rapid acquisition protocol reveals reliable and reproducible FA-values and FT reconstructions, thus allowing an experimental setup for in-vivo large scale whole brain murine DTI cohort studies.
Collapse
|
23
|
Ellegood J, Babineau BA, Henkelman RM, Lerch JP, Crawley JN. Neuroanatomical analysis of the BTBR mouse model of autism using magnetic resonance imaging and diffusion tensor imaging. Neuroimage 2012; 70:288-300. [PMID: 23275046 DOI: 10.1016/j.neuroimage.2012.12.029] [Citation(s) in RCA: 77] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2012] [Revised: 12/13/2012] [Accepted: 12/16/2012] [Indexed: 10/27/2022] Open
Abstract
Autism is a neurodevelopmental disorder characterized by abnormal reciprocal social interactions, communication deficits, and repetitive behaviors with restricted interests. Autism-relevant phenotypes in the inbred mouse strain BTBR T+tf/J (BTBR) offer translational tools to discover biological mechanisms underlying unusual mouse behaviors analogous to symptoms of autism. Two of the most consistent findings with BTBR are lack of sociability as measured by the three-chamber social approach task and increased amount of time engaged in self-grooming in an empty cage. Here we evaluated BTBR as compared to two typical inbred strains with high sociability and low self-grooming, C57BL/6J (B6) and FVB/AntJ (FVB), on both the automated three-chambered social approach task and repetitive self-grooming assays. Brains from the behaviorally tested mice were analyzed using magnetic resonance imaging and diffusion tensor imaging to investigate potential neuroanatomical abnormalities throughout the brain; specifically, to discover neuroanatomical mechanisms which could explain the autism-relevant behavioral abnormalities. Significant differences in volume and white matter microstructure were detected in multiple anatomical regions throughout the brain of BTBR compared to B6 and FVB. Further, significant correlations were found between behavioral measures and areas of the brain known to be associated with those behaviors. For example, striatal volume was strongly correlated to time spent in self-grooming across strains. Our findings suggest that neuropathology exists in BTBR beyond the previously reported white matter abnormalities in the corpus callosum and hippocampal commissure and that these brain differences may be related to the behavioral abnormalities seen in BTBR.
Collapse
Affiliation(s)
- Jacob Ellegood
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, ON, Canada.
| | | | | | | | | |
Collapse
|
24
|
Fairless AH, Katz JM, Vijayvargiya N, Dow HC, Kreibich AS, Berrettini WH, Abel T, Brodkin ES. Development of home cage social behaviors in BALB/cJ vs. C57BL/6J mice. Behav Brain Res 2012; 237:338-47. [PMID: 22982070 DOI: 10.1016/j.bbr.2012.08.051] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2012] [Revised: 08/23/2012] [Accepted: 08/29/2012] [Indexed: 01/24/2023]
Abstract
BALB/cJ and C57BL/6J inbred mouse strains have been proposed as useful models of low and high levels of sociability (tendency to seek social interaction), respectively, based primarily on behaviors of ∼30-day-old mice in the Social Approach Test (SAT). In the SAT, approach and sniffing behaviors of a test mouse toward an unfamiliar stimulus mouse are measured in a novel environment. However, it is unclear whether such results generalize to a familiar environment with a familiar social partner, such as with a littermate in a home cage environment. We hypothesized that C57BL/6J mice would show higher levels of social behaviors than BALB/cJ mice in the home cage environment, particularly at 30 days-of-age. We measured active and passive social behaviors in home cages by pairs of BALB/cJ or C57BL/6J littermates at ages 30, 41, and 69 days. The strains did not differ robustly in their active social behaviors. C57BL/6J mice were more passively social than BALB/cJ mice at 30 days, and C57BL/6J levels of passive social behaviors declined to BALB/cJ levels by 69 days. The differences in passive social behaviors at 30 days-of-age were primarily attributable to differences in huddling. These results indicate that different test conditions (SAT conditions vs. home cage conditions) elicit strain differences in distinct types of behaviors (approach/sniffing vs. huddling behaviors, respectively). Assessment of the more naturalistic social interactions in the familiar home cage environment with a familiar littermate will provide a useful component of a comprehensive assessment of social behaviors in mouse models relevant to autism.
Collapse
Affiliation(s)
- Andrew H Fairless
- Center for Neurobiology and Behavior, Department of Psychiatry, Perelman School of Medicine at University of Pennsylvania, Translational Research Laboratory, 125 South 31st Street, Room 2220, Philadelphia, PA 19104-3403, USA
| | | | | | | | | | | | | | | |
Collapse
|
25
|
Chomiak T, Hu B. Alterations of neocortical development and maturation in autism: insight from valproic acid exposure and animal models of autism. Neurotoxicol Teratol 2012; 36:57-66. [PMID: 22967743 DOI: 10.1016/j.ntt.2012.08.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2012] [Revised: 07/05/2012] [Accepted: 08/20/2012] [Indexed: 01/27/2023]
Abstract
Autism spectrum disorder (ASD) is a behaviourally defined brain disorder affecting approximately 1 in 88 children. Many pathological studies have shown that ASD is frequently associated with grey and white matter changes that can be described by their deviations from the normal trajectory of cortical maturation. For example, during the early (i.e. <2 years) postnatal period there is marked and selective tissue overgrowth in the higher-order temporal and frontal networks involved in emotional, social, and communication functions. In this focused review we first summarize some basic principles of neocortical neural organization and how they are disrupted in ASD. We will then highlight some of the potential mechanisms by which the normal developmental trajectory and organization of neocortical networks can be altered based on animal studies of valproic acid, a teratogen widely used in animal models of ASD. We argue that the trajectory of postnatal cerebral neocortex development may be influenced by several cellular and molecular mechanisms that may all converge to produce a neuropathology characterized by premature or accelerated neuronal growth.
Collapse
Affiliation(s)
- Taylor Chomiak
- Division of Experimental Neuroscience, Department of Clinical Neuroscience, Faculty of Medicine, University of Calgary, Calgary, Alberta, Canada.
| | | |
Collapse
|