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Teague CD, Markovic T, Zhou X, Martinez-Rivera FJ, Minier-Toribio A, Zinsmaier A, Pulido NV, Schmidt KH, Lucerne KE, Godino A, van der Zee YY, Ramakrishnan A, Futamura R, Browne CJ, Holt LM, Yim YY, Azizian CH, Walker DM, Shen L, Dong Y, Zhang B, Nestler EJ. Circuit-Wide Gene Network Analysis Reveals Sex-Specific Roles for Phosphodiesterase 1b in Cocaine Addiction. J Neurosci 2024; 44:e1327232024. [PMID: 38637154 PMCID: PMC11154853 DOI: 10.1523/jneurosci.1327-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 03/21/2024] [Accepted: 04/01/2024] [Indexed: 04/20/2024] Open
Abstract
Cocaine use disorder is a significant public health issue without an effective pharmacological treatment. Successful treatments are hindered in part by an incomplete understanding of the molecular mechanisms that underlie long-lasting maladaptive plasticity and addiction-like behaviors. Here, we leverage a large RNA sequencing dataset to generate gene coexpression networks across six interconnected regions of the brain's reward circuitry from mice that underwent saline or cocaine self-administration. We identify phosphodiesterase 1b (Pde1b), a Ca2+/calmodulin-dependent enzyme that increases cAMP and cGMP hydrolysis, as a central hub gene within a nucleus accumbens (NAc) gene module that was bioinformatically associated with addiction-like behavior. Chronic cocaine exposure increases Pde1b expression in NAc D2 medium spiny neurons (MSNs) in male but not female mice. Viral-mediated Pde1b overexpression in NAc reduces cocaine self-administration in female rats but increases seeking in both sexes. In female mice, overexpressing Pde1b in D1 MSNs attenuates the locomotor response to cocaine, with the opposite effect in D2 MSNs. Overexpressing Pde1b in D1/D2 MSNs had no effect on the locomotor response to cocaine in male mice. At the electrophysiological level, Pde1b overexpression reduces sEPSC frequency in D1 MSNs and regulates the excitability of NAc MSNs. Lastly, Pde1b overexpression significantly reduced the number of differentially expressed genes (DEGs) in NAc following chronic cocaine, with discordant effects on gene transcription between sexes. Together, we identify novel gene modules across the brain's reward circuitry associated with addiction-like behavior and explore the role of Pde1b in regulating the molecular, cellular, and behavioral responses to cocaine.
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Affiliation(s)
- Collin D Teague
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Tamara Markovic
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Xianxiao Zhou
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Freddyson J Martinez-Rivera
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Angelica Minier-Toribio
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Alexander Zinsmaier
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania 15260
| | - Nathalia V Pulido
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Kyra H Schmidt
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Kelsey E Lucerne
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Arthur Godino
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Yentl Y van der Zee
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Aarthi Ramakrishnan
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Rita Futamura
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Caleb J Browne
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Leanne M Holt
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Yun Young Yim
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Corrine H Azizian
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Deena M Walker
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, Oregon 97239
| | - Li Shen
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Yan Dong
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania 15260
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Eric J Nestler
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029
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Mozafar M, Kazemian S, Hoseini E, Mohammadi M, Alimoghadam R, Shafie M, Mayeli M. The glucocerebrosidase mutations and uric acid levels in Parkinson's disease: A 3-years investigation of a potential biomarker". Clin Park Relat Disord 2022; 8:100177. [PMID: 36590455 PMCID: PMC9798165 DOI: 10.1016/j.prdoa.2022.100177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 10/16/2022] [Accepted: 11/13/2022] [Indexed: 12/23/2022] Open
Abstract
Background Blood uric acid level indicates an emerging biomarker in Parkinson's disease (PD). This study aimed to evaluate longitudinal uric acid levels among different kinds of glucocerebrosidase (GBA) mutations and to compare it among sporadic PD, genetic cohort Parkinson's disease (GENPD), genetic cohort unaffected (GENUN), and healthy control (HC) patients. Methods We conducted a study on 654 individuals from the Parkinson's progression markers initiative (PPMI) database. Baseline characteristics, uric acid levels, movement disorder society unified Parkinson's disease rating scale III (MDS-UPDRS III), Hoehn and Yahr Parkinson stage (H&Y stage), and DaT scan specific binding ratio (SBR) data were obtained. Different GBA mutations were collected and categorized into three groups. Longitudinal measurements of uric acid and MDS-UPDRS III score were evaluated during 3-years of follow-up. Result GENPD cohort exhibited a greater MDS-UPDRS III score, H&Y stage, and lower SBR in the right caudate, left caudate, and right putamen compared to sporadic PD. Baseline uric acid level was similar among all groups and different GBA variants. After adjustment for age, sex, and body mass index, the uric acid level was significantly lower in the GENPD group than in HC during year 2 (P-value: 0.009). No significant longitudinal differences were detected for the MDS-UPDRS III score and three groups of GBA mutations. Conclusion This is the first study to assess uric acid levels and MDS-UPDRS III scores among different GBA mutation variants within 3 years of follow-up. We found similar clinical characteristics among different subtypes of GBA mutations.
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Affiliation(s)
- Mehrdad Mozafar
- NeuroTRACT Association, Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran,School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Sina Kazemian
- NeuroTRACT Association, Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran,Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Elahe Hoseini
- NeuroTRACT Association, Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran,Medical Imaging Department, AMT School, Isfahan Medical Sciences University, Isfahan, Iran
| | - Mohammad Mohammadi
- NeuroTRACT Association, Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Rojina Alimoghadam
- NeuroTRACT Association, Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahan Shafie
- NeuroTRACT Association, Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran,School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Mayeli
- NeuroTRACT Association, Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran,Iranian Center of Neurological Research, Imam Khomeini Hospital Complex, Tehran, Iran,School of Medicine, Tehran University of Medical Sciences, Tehran, Iran,Corresponding author.
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Integration of functional genomics data to uncover cell type-specific pathways affected in Parkinson's disease. Biochem Soc Trans 2021; 49:2091-2100. [PMID: 34581766 PMCID: PMC8589426 DOI: 10.1042/bst20210128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/25/2021] [Accepted: 08/31/2021] [Indexed: 12/22/2022]
Abstract
Parkinson's disease (PD) is the second most prevalent late-onset neurodegenerative disorder worldwide after Alzheimer's disease for which available drugs only deliver temporary symptomatic relief. Loss of dopaminergic neurons (DaNs) in the substantia nigra and intracellular alpha-synuclein inclusions are the main hallmarks of the disease but the events that cause this degeneration remain uncertain. Despite cell types other than DaNs such as astrocytes, microglia and oligodendrocytes have been recently associated with the pathogenesis of PD, we still lack an in-depth characterisation of PD-affected brain regions at cell-type resolution that could help our understanding of the disease mechanisms. Nevertheless, publicly available large-scale brain-specific genomic, transcriptomic and epigenomic datasets can be further exploited to extract different layers of cell type-specific biological information for the reconstruction of cell type-specific transcriptional regulatory networks. By intersecting disease risk variants within the networks, it may be possible to study the functional role of these risk variants and their combined effects at cell type- and pathway levels, that, in turn, can facilitate the identification of key regulators involved in disease progression, which are often potential therapeutic targets.
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Wang Y, Chen X, Wang Y, Li S, Cai H, Le W. The essential role of transcription factor Pitx3 in preventing mesodiencephalic dopaminergic neurodegeneration and maintaining neuronal subtype identities during aging. Cell Death Dis 2021; 12:1008. [PMID: 34707106 PMCID: PMC8551333 DOI: 10.1038/s41419-021-04319-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/23/2021] [Accepted: 10/07/2021] [Indexed: 01/11/2023]
Abstract
Pituitary homeobox 3 (Pitx3) is required for the terminal differentiation of nigrostriatal dopaminergic neurons during neuronal development. However, whether Pitx3 contributes to the normal physiological function and cell-type identity of adult neurons remains unknown. To explore the role of Pitx3 in maintaining mature neurons, we selectively deleted Pitx3 in the mesodiencephalic dopaminergic (mdDA) neurons of Pitx3fl/fl/DATCreERT2 bigenic mice using a tamoxifen inducible CreERT2/loxp gene-targeting system. Pitx3fl/fl/DATCreERT2 mice developed age-dependent progressive motor deficits, concomitant with a rapid reduction of striatal dopamine (DA) content and a profound loss of mdDA neurons in the substantia nigra pars compacta (SNc) but not in the adjacent ventral tegmental area (VTA), recapitulating the canonical neuropathological features of Parkinson's disease (PD). Mechanistic studies showed that Pitx3-deficiency significantly increased the number of cleaved caspase-3+ cells in SNc, which likely underwent neurodegeneration. Meanwhile, the vulnerability of SNc mdDA neurons was increased in Pitx3fl/fl/DATCreERT2 mice, as indicated by an early decline in glial cell line-derived neurotrophic factor (GDNF) and aldehyde dehydrogenase 1a1 (Aldh1a1) levels. Noticeably, somatic accumulation of α-synuclein (α-syn) was also significantly increased in the Pitx3-deficient neurons. Together, our data demonstrate that the loss of Pitx3 in fully differentiated mdDA neurons results in progressive neurodegeneration, indicating the importance of the Pitx3 gene in adult neuronal survival. Our findings also suggest that distinct Pitx3-dependent pathways exist in SNc and VTA mdDA neurons, correlating with the differential vulnerability of SNc and VTA mdDA neurons in the absence of Pitx3.
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Affiliation(s)
- Ying Wang
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, 116011, China
| | - Xi Chen
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, 116011, China
- Institute of Neurology and Department of Neurology, Sichuan Academy of Medical Sciences-Sichuan Provincial Hospital, Medical School of UETSC, Chengdu, 610072, China
| | - Yuanyuan Wang
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, 116011, China
| | - Song Li
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, 116011, China
| | - Huaibin Cai
- Transgenic Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Weidong Le
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, 116011, China.
- Institute of Neurology and Department of Neurology, Sichuan Academy of Medical Sciences-Sichuan Provincial Hospital, Medical School of UETSC, Chengdu, 610072, China.
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