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      In vivo human molecular neuroimaging of dopaminergic vulnerability along the Alzheimer’s disease phases

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          Abstract

          Background

          Preclinical and pathology evidence suggests an involvement of brain dopamine (DA) circuitry in Alzheimer’s disease (AD). We in vivo investigated if, when, and in which target regions [123I]FP-CIT-SPECT regional binding and molecular connectivity are damaged along the AD course.

          Methods

          We retrospectively selected 16 amyloid-positive subjects with mild cognitive impairment due to AD (AD-MCI), 22 amyloid-positive patients with probable AD dementia (AD-D), and 74 healthy controls, all with available [123I]FP-CIT-SPECT imaging. We tested whether nigrostriatal vs. mesocorticolimbic dopaminergic targets present binding potential loss, via MANCOVA, and alterations in molecular connectivity, via partial correlation analysis. Results were deemed significant at p < 0.05, after Bonferroni correction for multiple comparisons.

          Results

          We found significant reductions of [123I]FP-CIT binding in both AD-MCI and AD-D compared to controls. Binding reductions were prominent in the major targets of the ventrotegmental-mesocorticolimbic pathway, namely the ventral striatum and the hippocampus, in both clinical groups, and in the cingulate gyrus, in patients with dementia only. Within the nigrostriatal projections, only the dorsal caudate nucleus showed reduced [123I]FP-CIT binding, in both groups. Molecular connectivity assessment revealed a widespread loss of inter-connections among subcortical and cortical targets of the mesocorticolimbic network only (poor overlap with the control group as expressed by a Dice coefficient ≤ 0.25) and no alterations of the nigrostriatal network (high overlap with controls, Dice coefficient = 1).

          Conclusion

          Local- and system-level alterations of the mesocorticolimbic dopaminergic circuitry characterize AD, already in prodromal disease phases. These results might foster new therapeutic strategies for AD. The clinical correlates of these findings deserve to be carefully considered within the emergence of both neuropsychiatric symptoms and cognitive deficits.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13195-021-00925-1.

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          Most cited references51

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          The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

          The National Institute on Aging and the Alzheimer's Association charged a workgroup with the task of revising the 1984 criteria for Alzheimer's disease (AD) dementia. The workgroup sought to ensure that the revised criteria would be flexible enough to be used by both general healthcare providers without access to neuropsychological testing, advanced imaging, and cerebrospinal fluid measures, and specialized investigators involved in research or in clinical trial studies who would have these tools available. We present criteria for all-cause dementia and for AD dementia. We retained the general framework of probable AD dementia from the 1984 criteria. On the basis of the past 27 years of experience, we made several changes in the clinical criteria for the diagnosis. We also retained the term possible AD dementia, but redefined it in a manner more focused than before. Biomarker evidence was also integrated into the diagnostic formulations for probable and possible AD dementia for use in research settings. The core clinical criteria for AD dementia will continue to be the cornerstone of the diagnosis in clinical practice, but biomarker evidence is expected to enhance the pathophysiological specificity of the diagnosis of AD dementia. Much work lies ahead for validating the biomarker diagnosis of AD dementia. Copyright © 2011. Published by Elsevier Inc.
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            NIA-AA Research Framework: Toward a biological definition of Alzheimer’s disease

            In 2011, the National Institute on Aging and Alzheimer’s Association created separate diagnostic recommendations for the preclinical, mild cognitive impairment, and dementia stages of Alzheimer’s disease. Scientific progress in the interim led to an initiative by the National Institute on Aging and Alzheimer’s Association to update and unify the 2011 guidelines. This unifying update is labeled a “research framework” because its intended use is for observational and interventional research, not routine clinical care. In the National Institute on Aging and Alzheimer’s Association Research Framework, Alzheimer’s disease (AD) is defined by its underlying pathologic processes that can be documented by postmortem examination or in vivo by biomarkers. The diagnosis is not based on the clinical consequences of the disease (i.e., symptoms/signs) in this research framework, which shifts the definition of AD in living people from a syndromal to a biological construct. The research framework focuses on the diagnosis of AD with biomarkers in living persons. Biomarkers are grouped into those of β amyloid deposition, pathologic tau, and neurodegeneration [AT(N)]. This ATN classification system groups different biomarkers (imaging and biofluids) by the pathologic process each measures. The AT(N) system is flexible in that new biomarkers can be added to the three existing AT(N) groups, and new biomarker groups beyond AT(N) can be added when they become available. We focus on AD as a continuum, and cognitive staging may be accomplished using continuous measures. However, we also outline two different categorical cognitive schemes for staging the severity of cognitive impairment: a scheme using three traditional syndromal categories and a six-stage numeric scheme. It is important to stress that this framework seeks to create a common language with which investigators can generate and test hypotheses about the interactions among different pathologic processes (denoted by biomarkers) and cognitive symptoms. We appreciate the concern that this biomarker-based research framework has the potential to be misused. Therefore, we emphasize, first, it is premature and inappropriate to use this research framework in general medical practice. Second, this research framework should not be used to restrict alternative approaches to hypothesis testing that do not use biomarkers. There will be situations where biomarkers are not available or requiring them would be counterproductive to the specific research goals (discussed in more detail later in the document). Thus, biomarker-based research should not be considered a template for all research into age-related cognitive impairment and dementia; rather, it should be applied when it is fit for the purpose of the specific research goals of a study. Importantly, this framework should be examined in diverse populations. Although it is possible that β-amyloid plaques and neurofibrillary tau deposits are not causal in AD pathogenesis, it is these abnormal protein deposits that define AD as a unique neurodegenerative disease among different disorders that can lead to dementia. We envision that defining AD as a biological construct will enable a more accurate characterization and understanding of the sequence of events that lead to cognitive impairment that is associated with AD, as well as the multifactorial etiology of dementia. This approach also will enable a more precise approach to interventional trials where specific pathways can be targeted in the disease process and in the appropriate people.
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              The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

              The National Institute on Aging and the Alzheimer's Association charged a workgroup with the task of developing criteria for the symptomatic predementia phase of Alzheimer's disease (AD), referred to in this article as mild cognitive impairment due to AD. The workgroup developed the following two sets of criteria: (1) core clinical criteria that could be used by healthcare providers without access to advanced imaging techniques or cerebrospinal fluid analysis, and (2) research criteria that could be used in clinical research settings, including clinical trials. The second set of criteria incorporate the use of biomarkers based on imaging and cerebrospinal fluid measures. The final set of criteria for mild cognitive impairment due to AD has four levels of certainty, depending on the presence and nature of the biomarker findings. Considerable work is needed to validate the criteria that use biomarkers and to standardize biomarker analysis for use in community settings. Copyright © 2011 The Alzheimer's Association. All rights reserved.
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                Author and article information

                Contributors
                perani.daniela@hsr.it
                Journal
                Alzheimers Res Ther
                Alzheimers Res Ther
                Alzheimer's Research & Therapy
                BioMed Central (London )
                1758-9193
                12 November 2021
                12 November 2021
                2021
                : 13
                : 187
                Affiliations
                [1 ]GRID grid.15496.3f, ISNI 0000 0001 0439 0892, Vita-Salute San Raffaele University, ; Via Olgettina 60, Milan, 20132 Italy
                [2 ]GRID grid.18887.3e, ISNI 0000000417581884, In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, , San Raffaele Scientific Institute, ; 20132 Milan, Italy
                [3 ]GRID grid.18887.3e, ISNI 0000000417581884, Nuclear Medicine Unit, , San Raffaele Hospital, ; 20132 Milan, Italy
                [4 ]GRID grid.7637.5, ISNI 0000000417571846, Neurology Unit, Department of Clinical and Experimental Sciences, , University of Brescia, ; 25121 Brescia, Italy
                [5 ]Parkinson’s Disease Rehabilitation Centre, FERB ONLUS – S. Isidoro Hospital, 24069 Trescore Balneario, Italy
                [6 ]GRID grid.6530.0, ISNI 0000 0001 2300 0941, Division of Neurology, Department of Systems Medicine, , University of Rome “Tor Vergata”, ; 00133 Rome, Italy
                [7 ]GRID grid.6530.0, ISNI 0000 0001 2300 0941, Department of Biomedicine and Prevention, , University of Rome “Tor Vergata”, ; 00133 Rome, Italy
                [8 ]GRID grid.419543.e, ISNI 0000 0004 1760 3561, IRCCS Neuromed, ; 86077 Pozzilli, Italy
                [9 ]GRID grid.150338.c, ISNI 0000 0001 0721 9812, Division of Nuclear Medicine and Molecular Imaging, Diagnostic Department, , University Hospitals of Geneva, and NIMTLab, Faculty of Medicine, Geneva University, ; 1205 Geneva, Switzerland
                [10 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, , University Hospitals and University of Geneva, ; 1205 Geneva, Switzerland
                [11 ]GRID grid.417778.a, ISNI 0000 0001 0692 3437, Department of Experimental Neurosciences, , IRCCS Santa Lucia Foundation, ; 00179 Rome, Italy
                [12 ]GRID grid.9657.d, ISNI 0000 0004 1757 5329, Unit of Molecular Neurosciences, Department of Medicine, , University Campus-Biomedico, ; 00128 Rome, Italy
                [13 ]GRID grid.412725.7, Nuclear Medicine Unit, , Spedali Civili Brescia, ; 25123 Brescia, Italy
                Author information
                http://orcid.org/0000-0002-9784-292X
                Article
                925
                10.1186/s13195-021-00925-1
                8588696
                34772450
                9fcae59e-20a4-4abf-b957-474a28d85ad4
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 5 February 2021
                : 18 October 2021
                Funding
                Funded by: Ministero della Salute (IT)
                Award ID: NET- 2011-02346784
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Neurology
                biomarker,dopamine,molecular connectivity,substantia nigra,ventral tegmental area
                Neurology
                biomarker, dopamine, molecular connectivity, substantia nigra, ventral tegmental area

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