1
|
Trujillo P, Aumann MA, Claassen DO. Neuromelanin-sensitive MRI as a promising biomarker of catecholamine function. Brain 2024; 147:337-351. [PMID: 37669320 PMCID: PMC10834262 DOI: 10.1093/brain/awad300] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/17/2023] [Accepted: 08/20/2023] [Indexed: 09/07/2023] Open
Abstract
Disruptions to dopamine and noradrenergic neurotransmission are noted in several neurodegenerative and psychiatric disorders. Neuromelanin-sensitive (NM)-MRI offers a non-invasive approach to visualize and quantify the structural and functional integrity of the substantia nigra and locus coeruleus. This method may aid in the diagnosis and quantification of longitudinal changes of disease and could provide a stratification tool for predicting treatment success of pharmacological interventions targeting the dopaminergic and noradrenergic systems. Given the growing clinical interest in NM-MRI, understanding the contrast mechanisms that generate this signal is crucial for appropriate interpretation of NM-MRI outcomes and for the continued development of quantitative MRI biomarkers that assess disease severity and progression. To date, most studies associate NM-MRI measurements to the content of the neuromelanin pigment and/or density of neuromelanin-containing neurons, while recent studies suggest that the main source of the NM-MRI contrast is not the presence of neuromelanin but the high-water content in the dopaminergic and noradrenergic neurons. In this review, we consider the biological and physical basis for the NM-MRI contrast and discuss a wide range of interpretations of NM-MRI. We describe different acquisition and image processing approaches and discuss how these methods could be improved and standardized to facilitate large-scale multisite studies and translation into clinical use. We review the potential clinical applications in neurological and psychiatric disorders and the promise of NM-MRI as a biomarker of disease, and finally, we discuss the current limitations of NM-MRI that need to be addressed before this technique can be utilized as a biomarker and translated into clinical practice and offer suggestions for future research.
Collapse
Affiliation(s)
- Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Megan A Aumann
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| |
Collapse
|
2
|
Hobbs NZ, Papoutsi M, Delva A, Kinnunen KM, Nakajima M, Van Laere K, Vandenberghe W, Herath P, Scahill RI. Neuroimaging to Facilitate Clinical Trials in Huntington's Disease: Current Opinion from the EHDN Imaging Working Group. J Huntingtons Dis 2024; 13:163-199. [PMID: 38788082 PMCID: PMC11307036 DOI: 10.3233/jhd-240016] [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] [Accepted: 04/22/2024] [Indexed: 05/26/2024]
Abstract
Neuroimaging is increasingly being included in clinical trials of Huntington's disease (HD) for a wide range of purposes from participant selection and safety monitoring, through to demonstration of disease modification. Selection of the appropriate modality and associated analysis tools requires careful consideration. On behalf of the EHDN Imaging Working Group, we present current opinion on the utility and future prospects for inclusion of neuroimaging in HD trials. Covering the key imaging modalities of structural-, functional- and diffusion- MRI, perfusion imaging, positron emission tomography, magnetic resonance spectroscopy, and magnetoencephalography, we address how neuroimaging can be used in HD trials to: 1) Aid patient selection, enrichment, stratification, and safety monitoring; 2) Demonstrate biodistribution, target engagement, and pharmacodynamics; 3) Provide evidence for disease modification; and 4) Understand brain re-organization following therapy. We also present the challenges of translating research methodology into clinical trial settings, including equipment requirements and cost, standardization of acquisition and analysis, patient burden and invasiveness, and interpretation of results. We conclude, that with appropriate consideration of modality, study design and analysis, imaging has huge potential to facilitate effective clinical trials in HD.
Collapse
Affiliation(s)
- Nicola Z. Hobbs
- HD Research Centre, UCL Institute of Neurology, UCL, London, UK
| | - Marina Papoutsi
- HD Research Centre, UCL Institute of Neurology, UCL, London, UK
- IXICO plc, London, UK
| | - Aline Delva
- Department of Neurosciences, KU Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Belgium
| | | | | | - Koen Van Laere
- Department of Imaging and Pathology, Nuclear Medicine and Molecular Imaging, KU Leuven, Belgium
- Division of Nuclear Medicine, University Hospitals Leuven, Belgium
| | - Wim Vandenberghe
- Department of Neurosciences, KU Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Belgium
| | | | | |
Collapse
|
3
|
Choi S, Kim M, Kim T, Choi EJ, Lee J, Moon SY, Cho SS, Lee J, Kwon JS. Fronto-striato-thalamic circuit connectivity and neuromelanin in schizophrenia: an fMRI and neuromelanin-MRI study. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:81. [PMID: 37945576 PMCID: PMC10636101 DOI: 10.1038/s41537-023-00410-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 10/27/2023] [Indexed: 11/12/2023]
Abstract
Changes in dopamine and fronto-striato-thalamic (FST) circuit functional connectivity are prominent in schizophrenia. Dopamine is thought to underlie connectivity changes, but experimental evidence for this hypothesis is lacking. Previous studies examined the association in some of the connections using positron emission tomography (PET) and functional MRI (fMRI); however, PET has disadvantages in scanning patients, such as invasiveness. Excessive dopamine induces neuromelanin (NM) accumulation, and NM-MRI is suggested as a noninvasive proxy measure of dopamine function. We aimed to investigate the association between NM and FST circuit connectivity at the network level in patients with schizophrenia. We analysed substantia nigra NM-MRI and resting-state fMRI data from 29 schizophrenia patients and 63 age- and sex-matched healthy controls (HCs). We identified the FST subnetwork with abnormal connectivity found in schizophrenia patients compared to that of HCs and investigated the relationship between constituting connectivity and NM-MRI signal. We found a higher NM signal (t = -2.12, p = 0.037) and a hypoconnected FST subnetwork (FWER-corrected p = 0.014) in schizophrenia patients than in HCs. In the hypoconnected subnetwork of schizophrenia patients, lower left supplementary motor area-left caudate connectivity was associated with a higher NM signal (β = -0.38, p = 0.042). We demonstrated the association between NM and FST circuit connectivity. Considering that the NM-MRI signal reflects dopamine function, our results suggest that dopamine underlies changes in FST circuit connectivity, which supports the dopamine hypothesis. In addition, this study reveals implications for the future use of NM-MRI in investigations of the dopamine system.
Collapse
Affiliation(s)
- Sunah Choi
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Taekwan Kim
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Eun-Jung Choi
- Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Jungha Lee
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Sang Soo Cho
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Jongho Lee
- Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea.
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea.
| |
Collapse
|
4
|
Nimgampalle M, Chakravarthy H, Sharma S, Shree S, Bhat AR, Pradeepkiran JA, Devanathan V. Neurotransmitter systems in the etiology of major neurological disorders: Emerging insights and therapeutic implications. Ageing Res Rev 2023; 89:101994. [PMID: 37385351 DOI: 10.1016/j.arr.2023.101994] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 06/21/2023] [Accepted: 06/25/2023] [Indexed: 07/01/2023]
Abstract
Neurotransmitters serve as chemical messengers playing a crucial role in information processing throughout the nervous system, and are essential for healthy physiological and behavioural functions in the body. Neurotransmitter systems are classified as cholinergic, glutamatergic, GABAergic, dopaminergic, serotonergic, histaminergic, or aminergic systems, depending on the type of neurotransmitter secreted by the neuron, allowing effector organs to carry out specific functions by sending nerve impulses. Dysregulation of a neurotransmitter system is typically linked to a specific neurological disorder. However, more recent research points to a distinct pathogenic role for each neurotransmitter system in more than one neurological disorder of the central nervous system. In this context, the review provides recently updated information on each neurotransmitter system, including the pathways involved in their biochemical synthesis and regulation, their physiological functions, pathogenic roles in diseases, current diagnostics, new therapeutic targets, and the currently used drugs for associated neurological disorders. Finally, a brief overview of the recent developments in neurotransmitter-based therapeutics for selected neurological disorders is offered, followed by future perspectives in that area of research.
Collapse
Affiliation(s)
- Mallikarjuna Nimgampalle
- Department of Biology, Indian Institute of Science Education and Research Tirupati (IISER T), Transit campus, Karakambadi Road, Mangalam, Tirupati 517507, Andhra Pradesh, India
| | - Harshini Chakravarthy
- Department of Biology, Indian Institute of Science Education and Research Tirupati (IISER T), Transit campus, Karakambadi Road, Mangalam, Tirupati 517507, Andhra Pradesh, India.
| | - Sapana Sharma
- Department of Biology, Indian Institute of Science Education and Research Tirupati (IISER T), Transit campus, Karakambadi Road, Mangalam, Tirupati 517507, Andhra Pradesh, India
| | - Shruti Shree
- Department of Biology, Indian Institute of Science Education and Research Tirupati (IISER T), Transit campus, Karakambadi Road, Mangalam, Tirupati 517507, Andhra Pradesh, India
| | - Anoop Ramachandra Bhat
- Department of Biology, Indian Institute of Science Education and Research Tirupati (IISER T), Transit campus, Karakambadi Road, Mangalam, Tirupati 517507, Andhra Pradesh, India
| | | | - Vasudharani Devanathan
- Department of Biology, Indian Institute of Science Education and Research Tirupati (IISER T), Transit campus, Karakambadi Road, Mangalam, Tirupati 517507, Andhra Pradesh, India.
| |
Collapse
|
5
|
Nakamura Y, Ishida T, Tanaka SC, Mitsuyama Y, Yokoyama S, Shinzato H, Itai E, Okada G, Kobayashi Y, Kawashima T, Miyata J, Yoshihara Y, Takahashi H, Aoki R, Nakamura M, Ota H, Itahashi T, Morita S, Kawakami S, Abe O, Okada N, Kunimatsu A, Yamashita A, Yamashita O, Imamizu H, Morimoto J, Okamoto Y, Murai T, Hashimoto R, Kasai K, Kawato M, Koike S. Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders. Psychiatry Clin Neurosci 2023; 77:345-354. [PMID: 36905180 PMCID: PMC11488596 DOI: 10.1111/pcn.13542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/03/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023]
Abstract
AIM Increasing evidence suggests that psychiatric disorders are linked to alterations in the mesocorticolimbic dopamine-related circuits. However, the common and disease-specific alterations remain to be examined in schizophrenia (SCZ), major depressive disorder (MDD), and autism spectrum disorder (ASD). Thus, this study aimed to examine common and disease-specific features related to mesocorticolimbic circuits. METHODS This study included 555 participants from four institutes with five scanners: 140 individuals with SCZ (45.0% female), 127 individuals with MDD (44.9%), 119 individuals with ASD (15.1%), and 169 healthy controls (HC) (34.9%). All participants underwent resting-state functional magnetic resonance imaging. A parametric empirical Bayes approach was adopted to compare estimated effective connectivity among groups. Intrinsic effective connectivity focusing on the mesocorticolimbic dopamine-related circuits including the ventral tegmental area (VTA), shell and core parts of the nucleus accumbens (NAc), and medial prefrontal cortex (mPFC) were examined using a dynamic causal modeling analysis across these psychiatric disorders. RESULTS The excitatory shell-to-core connectivity was greater in all patients than in the HC group. The inhibitory shell-to-VTA and shell-to-mPFC connectivities were greater in the ASD group than in the HC, MDD, and SCZ groups. Furthermore, the VTA-to-core and VTA-to-shell connectivities were excitatory in the ASD group, while those connections were inhibitory in the HC, MDD, and SCZ groups. CONCLUSION Impaired signaling in the mesocorticolimbic dopamine-related circuits could be an underlying neuropathogenesis of various psychiatric disorders. These findings will improve the understanding of unique neural alternations of each disorder and will facilitate identification of effective therapeutic targets.
Collapse
Affiliation(s)
- Yuko Nakamura
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and SciencesUniversity of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM)TokyoJapan
| | - Takuya Ishida
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and SciencesUniversity of TokyoTokyoJapan
- Department of NeuropsychiatryGraduate School of Wakayama Medical UniversityWakayamaJapan
| | - Saori C. Tanaka
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Information Science, Graduate School of Science and TechnologyNara Institute of Science and TechnologyNaraJapan
| | - Yuki Mitsuyama
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Satoshi Yokoyama
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Hotaka Shinzato
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Eri Itai
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Go Okada
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Yuko Kobayashi
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Takahiko Kawashima
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Jun Miyata
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Yujiro Yoshihara
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Hidehiko Takahashi
- Department of Psychiatry and Behavioral SciencesTokyo Medical and Dental UniversityTokyoJapan
| | - Ryuta Aoki
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
| | - Motoaki Nakamura
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
| | - Haruhisa Ota
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
| | - Takashi Itahashi
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
| | - Susumu Morita
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of TokyoTokyoJapan
| | - Shintaro Kawakami
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of TokyoTokyoJapan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicinethe University of TokyoTokyoJapan
| | - Naohiro Okada
- The International Research Center for Neurointelligence (WPI‐IRCN), Institutes for Advanced Study (UTIAS)University of TokyoTokyoJapan
| | - Akira Kunimatsu
- Department of RadiologyInternational University of Health and Welfare Mita HospitalTokyoJapan
| | - Ayumu Yamashita
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Department of PsychiatryBoston University School of MedicineBostonMassachusettsUSA
| | - Okito Yamashita
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Center for Advanced Intelligence ProjectRIKENTokyoJapan
| | - Hiroshi Imamizu
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Department of Psychology, Graduate School of Humanities and Sociologythe University of TokyoTokyoJapan
| | - Jun Morimoto
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Department of Systems Science, Graduate School of InformaticsKyoto UniversityKyotoJapan
| | - Yasumasa Okamoto
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Ryu‐Ichiro Hashimoto
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
- Department of Language SciencesTokyo Metropolitan UniversityTokyoJapan
| | - Kiyoto Kasai
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and SciencesUniversity of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM)TokyoJapan
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of TokyoTokyoJapan
- The International Research Center for Neurointelligence (WPI‐IRCN), Institutes for Advanced Study (UTIAS)University of TokyoTokyoJapan
| | - Mitsuo Kawato
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
| | - Shinsuke Koike
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and SciencesUniversity of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM)TokyoJapan
- The International Research Center for Neurointelligence (WPI‐IRCN), Institutes for Advanced Study (UTIAS)University of TokyoTokyoJapan
| |
Collapse
|
6
|
Cao Q, Huang J, Tang D, Qian H, Yan K, Shi X, Li Y, Zhang J. Application value of multiparametric MRI for evaluating iron deposition in the substantia nigra in Parkinson's disease. Front Neurol 2023; 13:1096966. [PMID: 36686531 PMCID: PMC9846143 DOI: 10.3389/fneur.2022.1096966] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 12/13/2022] [Indexed: 01/05/2023] Open
Abstract
Objective This study aimed to investigate the application value of multi-parametric magnetic resonance imaging (MRI) in the diagnosis of iron deposition in the substantia nigra dense zone in Parkinson's disease (PD) and to evaluate the diagnostic value of the correlation among multi-parametric imaging indicators, clinical stage, and disease duration. Materials and methods Thirty-six patients with clinically confirmed PD and 36 healthy controls were enrolled. The disease course was recorded, and PD severity was graded using the Hoehn-Yahr (H-Y) scale. All subjects underwent magnetic sensitivity weighted imaging (SWI), neuromelanin magnetic resonance imaging (NM-MRI), and a T2*mapping sequence. Based on the fusion of the NM-MRI and SWI amplitude maps, phase maps, and T2*MAPPING value maps, NM-MRI was used to delineate the dense zone of the substantia nigra, which was divided into three sub-regions: upper, middle, and lower. In this way, the amplitude, phase, and R2* values of each sub-region and the average value of the sum of the three sub-regions were obtained simultaneously in the SWI amplitude, phase, and T2*MAPPING maps. The multi-parameter imaging indices were compared between the two groups, and the correlation between them and clinical indices was evaluated in the PD group. Results The upper (amplitude, phase value, R2* value), middle, and lower (amplitude) right substantia nigra compact zones were significantly different between the PD and control groups. The upper (phase value, R2* value) and middle (amplitude) areas of the left substantia nigra compact zone were also significantly different between the two groups (all P < 0.05). The mean values (amplitude, phase value, R2* value) of the right substantia nigra densification zone and the mean values (phase value) of the left substantia nigra densification zone were also significantly different (all P < 0.05). Amplitudes in the middle and lower parts of the right substantia nigra dense zone were negatively correlated with the H-Y grade (middle: r = -0.475, P = 0.003; lower: r = -0.331, P = 0.049). Amplitudes of the middle and lower parts of the dense zone of the left substantia nigra were negatively correlated with the H-Y grade (middle: r = -0.342, P = 0.041; lower: r = -0.399, P = 0.016). The average amplitude of the right substantia nigra compact zone was negatively correlated with the H-Y grade (r = -0.367, P = 0.027). The average R2* value of the compact zone of the left substantia nigra was positively correlated with the H-Y grade (r = 0.345, P = 0.040). Conclusion Multiparametric MRI sequence examination has application value in the evaluation of iron deposition in the dense zone of the substantia nigra in PD. Combined with NM-MRI, fusion analysis is beneficial for accurately locating the substantia nigra compact zone and quantitatively analyzing the iron deposition in different sub-regions. Quantitative iron deposition in the middle and lower parts of the substantia nigra dense zone may become an imaging biological indicator for early diagnosis, severity evaluation, and follow-up evaluation of PD and is thus conducive for clinical diagnosis and treatment evaluation.
Collapse
Affiliation(s)
- Qing Cao
- Department of Radiology, Guangzhou Xinhai Hospital, Guangzhou, Guangdong, China
| | - Jinjin Huang
- Department of Neurosurgery, The PLA 74th Group Army Hospital of Chinese, Guangzhou, Guangdong, China
| | - Dongping Tang
- Department of Science and Education Department, Guangzhou Xinhai Hospital, Guangzhou, Guangdong, China
| | - Hao Qian
- Department of Neurology, Guangzhou Xinhai Hospital, Guangzhou, Guangdong, China
| | - Kun Yan
- Department of Neurology, Guangzhou Xinhai Hospital, Guangzhou, Guangdong, China
| | - Xun Shi
- Department of Nuclear Medicine, The First People's Hospital of Yancheng, The Fourth Affiliated Hospital of Nantong University, Yancheng, Jiangsu, China
| | - Yaowei Li
- Department of Radiology, Guangzhou Xinhai Hospital, Guangzhou, Guangdong, China,*Correspondence: Yaowei Li ✉
| | - Jiangong Zhang
- Department of Nuclear Medicine, The First People's Hospital of Yancheng, The Fourth Affiliated Hospital of Nantong University, Yancheng, Jiangsu, China,Jiangong Zhang ✉
| |
Collapse
|
7
|
Acceleration of neuromelanin-sensitive MRI sequences in the substantia nigra using standard MRI options. Neuroradiology 2023; 65:307-312. [PMID: 36169662 PMCID: PMC9859863 DOI: 10.1007/s00234-022-03058-w] [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: 07/11/2022] [Accepted: 09/19/2022] [Indexed: 01/25/2023]
Abstract
PURPOSE Neuromelanin MRI (NM-MRI) is applied as a proxy measurement of dopaminergic functioning of the substantia nigra pars compacta (SN). To increase its clinical applicability, a fast and easily applicable NM-MRI sequence is needed. This study therefore compared accelerated NM-MRI sequences using standard available MRI options with a validated 2D gradient recalled echo NM-MRI sequence with off-resonance magnetization transfer (MT) pulse (2D-MToffRes). METHODS We used different combinations of compressed sense (CS) acceleration, repetition times (TR), and MT pulse to accelerate the validated 2D-MToffRes. In addition, we compared a recently introduced 3D sequence with the 2D-MToffRes. RESULTS Our results show that the 2D sequences perform best with good to excellent reliability. Only excellent intraclass correlation coefficients were found for the CS factor 2 sequences. CONCLUSION We conclude that there are several reliable approaches to accelerate NM-MRI, in particular by using CS.
Collapse
|
8
|
Wallert ED, van de Giessen E, Knol RJJ, Beudel M, de Bie RMA, Booij J. Imaging Dopaminergic Neurotransmission in Neurodegenerative Disorders. J Nucl Med 2022; 63:27S-32S. [PMID: 35649651 PMCID: PMC9165729 DOI: 10.2967/jnumed.121.263197] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/25/2022] [Indexed: 12/14/2022] Open
Abstract
Imaging of dopaminergic transmission in neurodegenerative disorders such as Parkinson disease (PD) or dementia with Lewy bodies plays a major role in clinical practice and in clinical research. We here review the role of imaging of the nigrostriatal pathway, as well as of striatal receptors and dopamine release, in common neurodegenerative disorders in clinical practice and research. Imaging of the nigrostriatal pathway has a high diagnostic accuracy to detect nigrostriatal degeneration in disorders characterized by nigrostriatal degeneration, such as PD and dementia with Lewy bodies, and disorders of more clinical importance, namely in patients with clinically uncertain parkinsonism. Imaging of striatal dopamine D2/3 receptors is not recommended for the differential diagnosis of parkinsonian disorders in clinical practice anymore. Regarding research, recently the European Medicines Agency has qualified dopamine transporter imaging as an enrichment biomarker for clinical trials in early PD, which underlines the high diagnostic accuracy of this imaging tool and will be implemented in future trials. Also, imaging of the presynaptic dopaminergic system plays a major role in, for example, examining the extent of nigrostriatal degeneration in preclinical and premotor phases of neurodegenerative disorders and to examine subtypes of PD. Also, imaging of postsynaptic dopamine D2/3 receptors plays a role in studying, for example, the neuronal substrate of impulse control disorders in PD, as well as in measuring endogenous dopamine release to examine, for example, motor complications in the treatment of PD. Finally, novel MRI sequences as neuromelanin-sensitive MRI are promising new tools to study nigrostriatal degeneration in vivo.
Collapse
Affiliation(s)
- Elon D Wallert
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Remco J J Knol
- Department of Nuclear Medicine, Noordwest Ziekenhuisgroep, Alkmaar, The Netherlands; and
| | - Martijn Beudel
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Rob M A de Bie
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands;
| |
Collapse
|
9
|
Tang F, Liu H, Zhang XJ, Zheng HH, Dai YM, Zheng LY, Yang WH, Du YY, Liu J. Evidence for Dopamine Abnormalities Following Acute Methamphetamine Exposure Assessed by Neuromelanin-Sensitive Magnetic Resonance Imaging. Front Aging Neurosci 2022; 14:865825. [PMID: 35707702 PMCID: PMC9190254 DOI: 10.3389/fnagi.2022.865825] [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: 01/30/2022] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundNeuromelanin-sensitive magnetic resonance imaging (NM-MRI) is a newly developed MRI technique that provides a non-invasive way to indirectly measure of dopamine (DA) function. This study aimed to determine NM concentrations in brain regions following acute methamphetamine (MA) administration using NM-MRI and to explore whether NM-MRI can be used as a biomarker of DA function in non-neurodegenerative diseases.MethodsBaseline NM-MRI, T1-weighted and T2-weighted images were acquired from 27 rats before drug/placebo injection. The control group (n = 11) received acute placebo (Normal saline), while the experimental group (n = 16) received acute MA. NM-MRI scans were performed 5, 30, 60 and 90 min after injection. Regions of interest (ROIs), including the caudate putamen (CP), nucleus accumbens (NAc), hippocampus (HIP), substantia nigra (SN) and crus cerebri (CC), were manually drawn by an experienced radiologist. NM-MRI signal intensity in five brain regions at different time points (baseline and 5, 30, 60, and 90 min) were analyzed.ResultsIn both the control and experimental groups, at each time point (baseline and 5, 30, 60, and 90 min), the SN exhibited significantly higher NM-MRI signal intensity than the other brain regions (P < 0.05). In addition, acute MA administration resulted in a continuous upward trend in NM-MRI signal intensity in each brain region over time. However, there was no such trend over time in the control group. The NM-MRI signal intensity of SN in the experimental group was significantly higher at the 60 and 90 min compared with that in the control group (P values were 0.042 and 0.042 respectively). Within experimental group, the NM-MRI signal intensity of SN was significantly higher at the 60 and 90 min compared with that before MA administration (P values were 0.023 and 0.011 respectively). Increased amplitudes and rates of NM-MRI signal intensity were higher in the SN than in other brain regions after MA administration.ConclusionOur results indicated that NM was mainly deposited in the SN, and the conversion of DA to NM was most significant in the SN after acute MA exposure. Increased DA release induced by acute MA exposure may lead to increased accumulation of NM in multiple brain regions that can be revealed by NM-MRI. NM-MRI may serve as a powerful imaging tool that could have diverse research and clinical applications for detecting pathological changes in drug addiction and related non-neurodegenerative diseases.
Collapse
Affiliation(s)
- Fei Tang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Hui Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiao Jie Zhang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Hui Hui Zheng
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Yong Ming Dai
- MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China
| | - Li Yun Zheng
- MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China
| | - Wen Han Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Yan Yao Du
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
- *Correspondence: Jun Liu,
| |
Collapse
|
10
|
Zhou ZD, Saw WT, Ho PGH, Zhang ZW, Zeng L, Chang YY, Sun AXY, Ma DR, Wang HY, Zhou L, Lim KL, Tan EK. The role of tyrosine hydroxylase-dopamine pathway in Parkinson's disease pathogenesis. Cell Mol Life Sci 2022; 79:599. [PMID: 36409355 PMCID: PMC9678997 DOI: 10.1007/s00018-022-04574-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Parkinson's disease (PD) is characterized by selective and progressive dopamine (DA) neuron loss in the substantia nigra and other brain regions, with the presence of Lewy body formation. Most PD cases are sporadic, whereas monogenic forms of PD have been linked to multiple genes, including Leucine kinase repeat 2 (LRRK2) and PTEN-induced kinase 1 (PINK1), two protein kinase genes involved in multiple signaling pathways. There is increasing evidence to suggest that endogenous DA and DA-dependent neurodegeneration have a pathophysiologic role in sporadic and familial PD. METHODS We generated patient-derived dopaminergic neurons and human midbrain-like organoids (hMLOs), transgenic (TG) mouse and Drosophila models, expressing both mutant and wild-type (WT) LRRK2 and PINK1. Using these models, we examined the effect of LRRK2 and PINK1 on tyrosine hydroxylase (TH)-DA pathway. RESULTS We demonstrated that PD-linked LRRK2 mutations were able to modulate TH-DA pathway, resulting in up-regulation of DA early in the disease which subsequently led to neurodegeneration. The LRRK2-induced DA toxicity and degeneration were abrogated by wild-type (WT) PINK1 (but not PINK1 mutations), and early treatment with a clinical-grade drug, α-methyl-L-tyrosine (α-MT), a TH inhibitor, was able to reverse the pathologies in human neurons and TG Drosophila models. We also identified opposing effects between LRRK2 and PINK1 on TH expression, suggesting that functional balance between these two genes may regulate the TH-DA pathway. CONCLUSIONS Our findings highlight the vital role of the TH-DA pathway in PD pathogenesis. LRRK2 and PINK1 have opposing effects on the TH-DA pathway, and its balance affects DA neuron survival. LRRK2 or PINK1 mutations can disrupt this balance, promoting DA neuron demise. Our findings provide support for potential clinical trials using TH-DA pathway inhibitors in early or prodromic PD.
Collapse
Affiliation(s)
- Zhi Dong Zhou
- National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
- Duke-NUS Graduate Medical School, Signature Research Program in Neuroscience and Behavioural Disorders, 8 College Road, Singapore, 169857 Singapore
| | - Wuan Ting Saw
- National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Patrick Ghim Hoe Ho
- National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Zhi Wei Zhang
- National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Li Zeng
- National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Ya Yin Chang
- Duke-NUS Graduate Medical School, Signature Research Program in Neuroscience and Behavioural Disorders, 8 College Road, Singapore, 169857 Singapore
| | - Alfred Xu Yang Sun
- Duke-NUS Graduate Medical School, Signature Research Program in Neuroscience and Behavioural Disorders, 8 College Road, Singapore, 169857 Singapore
| | - Dong Rui Ma
- National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Hong Yan Wang
- Duke-NUS Graduate Medical School, Signature Research Program in Neuroscience and Behavioural Disorders, 8 College Road, Singapore, 169857 Singapore
| | - Lei Zhou
- Ocular Proteomics Laboratory, Singapore Eye Research Institute, Singapore, 169856 Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077 Singapore
- Ophthalmology and Visual Sciences Academic Clinical Research Program, Duke-NUS Medical School, Singapore, 169857 Singapore
| | - Kah Leong Lim
- National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
- Developmental of Stem Cell Biology and Regenerative Medicine, Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, 308232 Singapore
| | - Eng-King Tan
- National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
- Department of Neurology, Singapore General Hospital, National Neuroscience Institute, Outram Road, Singapore, 169608 Singapore
- Duke-NUS Graduate Medical School, Signature Research Program in Neuroscience and Behavioural Disorders, 8 College Road, Singapore, 169857 Singapore
| |
Collapse
|