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Wu L, Liu X, Jiang Q, Li M, Liang M, Wang S, Wang R, Su L, Ni T, Dong N, Zhu L, Guan F, Zhu J, Zhang W, Wu M, Chen Y, Chen T, Wang B. Methamphetamine-induced impairment of memory and fleeting neuroinflammation: Profiling mRNA changes in mouse hippocampus following short-term and long-term exposure. Neuropharmacology 2024; 261:110175. [PMID: 39357738 DOI: 10.1016/j.neuropharm.2024.110175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 08/20/2024] [Accepted: 09/28/2024] [Indexed: 10/04/2024]
Abstract
Methamphetamine (METH) has been implicated in inducing memory impairment, but the precise mechanisms underlying this effect remain unclear. Current research often limits itself to singular models or focuses on individual gene or protein functions, which hampers a comprehensive understanding of the underlying mechanisms. In this study, we established three METH mouse exposure models, extracted hippocampal nuclei, and utilized RNA sequencing to analyze changes in mRNA expression profiles. Our results indicate that METH significantly impairs the learning and memory capabilities of mice. Additionally, we observed that METH-induced inflammatory responses occur in the early phase and do not further exacerbate with repeated injections. However, RNA sequencing revealed the persistent enrichment of inflammatory pathway molecules, which correlated with worsened behaviors. This suggests that although METH-induced neuroinflammation plays a critical role in learning and memory impairment, the continued enrichment of inflammatory pathway molecules is associated with behavioral outcomes. These findings provide crucial evidence for the potential application of immune intervention in METH-related disorders.
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Affiliation(s)
- Laiqiang Wu
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Xiaorui Liu
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Qingchen Jiang
- Department of Immunology and Pathogenic Biology, College of Basic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Ming Li
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Min Liang
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Shuai Wang
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Rui Wang
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Linlan Su
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Tong Ni
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Nan Dong
- School of Life Science and Technology and Core Facilities Sharing Platform, Xi'an Jiaotong University, Xi'an, China
| | - Li Zhu
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Fanglin Guan
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Jie Zhu
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Wen Zhang
- Department of Pathology, Northwest Women's and Children's Hospital, Xi'an, China
| | - Min Wu
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, China
| | - Yanjiong Chen
- Department of Immunology and Pathogenic Biology, College of Basic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Teng Chen
- College of Forensic Science, Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, China.
| | - Biao Wang
- Department of Immunology and Pathogenic Biology, College of Basic Medicine, Xi'an Jiaotong University Health Science Center, Xi'an, China.
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Sun H, Chen Y, Ma L. MDVarP: modifier ~ disease-causing variant pairs predictor. BioData Min 2024; 17:39. [PMID: 39379981 PMCID: PMC11460193 DOI: 10.1186/s13040-024-00392-y] [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: 08/20/2024] [Accepted: 09/28/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Modifiers significantly impact disease phenotypes by modulating the effects of disease-causing variants, resulting in varying disease manifestations among individuals. However, identifying genetic interactions between modifier and disease-causing variants is challenging. RESULTS We developed MDVarP, an ensemble model comprising 1000 random forest predictors, to identify modifier ~ disease-causing variant combinations. MDVarP achieves high accuracy and precision, as verified using an independent dataset with published evidence of genetic interactions. We identified 25 novel modifier ~ disease-causing variant combinations and obtained supporting evidence for these associations. MDVarP outputs a class label ("Associated-pair" or "Nonrelevant-pair") and two prediction scores indicating the probability of a true association. CONCLUSIONS MDVarP prioritizes variant pairs associated with phenotypic modulations, enabling more effective mapping of functional contributions from disease-causing and modifier variants. This framework interprets genetic interactions underlying phenotypic variations in human diseases, with potential applications in personalized medicine and disease prevention.
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Affiliation(s)
- Hong Sun
- Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Center for Biomedical Informatics, School of Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, 200062, China.
| | - Yunqin Chen
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), Shanghai, 200237, China
| | - Liangxiao Ma
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Science, Shanghai, 200031, China
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Chung IH, Huang YS, Fang TH, Chen CH. Whole Genome Sequencing Revealed Inherited Rare Oligogenic Variants Contributing to Schizophrenia and Major Depressive Disorder in Two Families. Int J Mol Sci 2023; 24:11777. [PMID: 37511534 PMCID: PMC10380944 DOI: 10.3390/ijms241411777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/12/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
Schizophrenia and affective disorder are two major complex mental disorders with high heritability. Evidence shows that rare variants with significant clinical impacts contribute to the genetic liability of these two disorders. Also, rare variants associated with schizophrenia and affective disorders are highly personalized; each patient may carry different variants. We used whole genome sequencing analysis to study the genetic basis of two families with schizophrenia and major depressive disorder. We did not detect de novo, autosomal dominant, or recessive pathogenic or likely pathogenic variants associated with psychiatric disorders in these two families. Nevertheless, we identified multiple rare inherited variants with unknown significance in the probands. In family 1, with singleton schizophrenia, we detected four rare variants in genes implicated in schizophrenia, including p.Arg1627Trp of LAMA2, p.Pro1338Ser of CSMD1, p.Arg691Gly of TLR4, and Arg182X of AGTR2. The p.Arg691Gly of TLR4 was inherited from the father, while the other three were inherited from the mother. In family 2, with two affected sisters diagnosed with major depressive disorder, we detected three rare variants shared by the two sisters in three genes implicated in affective disorders, including p.Ala4551Gly of FAT1, p.Val231Leu of HOMER3, and p.Ile185Met of GPM6B. These three rare variants were assumed to be inherited from their parents. Prompted by these findings, we suggest that these rare inherited variants may interact with each other and lead to psychiatric conditions in these two families. Our observations support the conclusion that inherited rare variants may contribute to the heritability of psychiatric disorders.
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Affiliation(s)
- I-Hang Chung
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Taoyuan 333, Taiwan
| | - Yu-Shu Huang
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Taoyuan 333, Taiwan
- Department of Psychiatry, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Ting-Hsuan Fang
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Taoyuan 333, Taiwan
| | - Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital-Linkou, Taoyuan 333, Taiwan
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Brabec JL, Ouardouz M, Mahoney JM, Scott RC, Hernan AE. Differential regulation of gene expression pathways with dexamethasone and ACTH after early life seizures. Neurobiol Dis 2022; 174:105873. [PMID: 36152945 PMCID: PMC10048589 DOI: 10.1016/j.nbd.2022.105873] [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: 04/28/2022] [Revised: 09/19/2022] [Accepted: 09/20/2022] [Indexed: 10/31/2022] Open
Abstract
Early-life seizures (ELS) are associated with persistent cognitive deficits such as ADHD and memory impairment. These co-morbidities have a dramatic negative impact on the quality of life of patients. Therapies that improve cognitive outcomes have enormous potential to improve patients' quality of life. Our previous work in a rat flurothyl-induction model showed that administration of adrenocorticotropic hormone (ACTH) at time of seizure induction led to improved learning and memory in the animals despite no effect on seizure latency or duration. Administration of dexamethasone (Dex), a corticosteroid, did not have the same positive effect on learning and memory and has even been shown to exacerbate injury in a rat model of temporal lobe epilepsy. We hypothesized that ACTH exerted positive effects on cognitive outcomes through beneficial changes to gene expression and proposed that administration of ACTH at seizure induction would return gene-expression in the brain towards the normal pattern of expression in the Control animals whereas Dex would not. Twenty-six Sprague-Dawley rats were randomized into vehicle- Control, and ACTH-, Dex-, and vehicle- ELS. Rat pups were subjected to 60 flurothyl seizures from P5 to P14. After seizure induction, brains were removed and the hippocampus and PFC were dissected, RNA was extracted and sequenced, and differential expression analysis was performed using generalized estimating equations. Differential expression analysis showed that ACTH pushes gene expression in the brain back to a more normal state of expression through enrichment of pathways involved in supporting homeostatic balance and down-regulating pathways that might contribute to excitotoxic cell-damage post-ELS.
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Affiliation(s)
- Jeffrey L Brabec
- University of Vermont, Department of Neurological Sciences, 149 Beaumont Avenue, Burlington, VT 05401, USA.
| | - Mohamed Ouardouz
- Nemours Children's Health, Division of Neuroscience, 1600 Rockland Road, Wilmington, DE 19803, USA
| | - J Matthew Mahoney
- University of Vermont, Department of Neurological Sciences, 149 Beaumont Avenue, Burlington, VT 05401, USA; The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Rod C Scott
- Nemours Children's Health, Division of Neuroscience, 1600 Rockland Road, Wilmington, DE 19803, USA; Neurosciences Unit University College London, Institute of Child Health, London WC1N 1EH, UK; University of Delaware, Psychological and Brain Sciences, South College Avenue, Newark, DE 19716, USA
| | - Amanda E Hernan
- Nemours Children's Health, Division of Neuroscience, 1600 Rockland Road, Wilmington, DE 19803, USA; University of Delaware, Psychological and Brain Sciences, South College Avenue, Newark, DE 19716, USA
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Hernando-Davalillo C, Martín AAS, Borregan Prats M, Ortigoza-Escobar JD. De novo 4q35.2 duplication containing FAT1 is associated with autism spectrum disorder. Clin Genet 2022; 102:434-437. [PMID: 35861186 DOI: 10.1111/cge.14194] [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: 06/03/2022] [Revised: 07/15/2022] [Accepted: 07/18/2022] [Indexed: 12/01/2022]
Abstract
Genetic studies have established a connection between FAT1 (FAT atypical cadherin 1) deletion and variants and autism spectrum disorder (ASD). Here, we describe a 7-year-old girl who sought a neurology consultation in order to be evaluated for ASD and was found to have a de novo 4q35.2 duplication containing the FAT1 gene. Similar to other reported cases of FAT1 variants or deletion, this patient exhibits non-syndromic ASD without facial dysmorphism or brain MRI abnormalities. We suggest also considering FAT1 duplication as a potential ASD cause. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Cristina Hernando-Davalillo
- Department of Genetic and Molecular Medicine and Pediatric Institute of Rare Diseases, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Adrián Alcalá San Martín
- Department of Genetic and Molecular Medicine and Pediatric Institute of Rare Diseases, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Mar Borregan Prats
- Department of Genetic and Molecular Medicine and Pediatric Institute of Rare Diseases, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Juan Darío Ortigoza-Escobar
- Movement Disorders Unit, Department of Child Neurology, Institut de Recerca Sant Joan de Déu.,U-703 Centre for Biomedical Research on Rare Diseases (CIBER-ER), Instituto de Salud Carlos III, Barcelona, Spain.,European Reference Network for Rare Neurological Diseases (ERN-RND), Barcelona, Spain
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