1
|
Pietilä E, Snellman A, Tuisku J, Helin S, Viitanen M, Jula A, Rinne JO, Ekblad LL. Midlife insulin resistance, APOE genotype, and change in late-life brain beta-amyloid accumulation - A 5-year follow-up [ 11C]PIB-PET study. Neurobiol Dis 2024; 190:106385. [PMID: 38123104 DOI: 10.1016/j.nbd.2023.106385] [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: 10/05/2023] [Revised: 12/14/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023] Open
Abstract
We studied if midlife insulin resistance (IR) and APOE genotype would predict brain beta-amyloid (Aβ) accumulation and Aβ change in late-life in 5-year follow-up [11C]PIB-PET study. 43 dementia-free participants were scanned twice with [11C]PIB-PET in their late-life (mean age at follow-up 75.4 years). Participants were recruited from the Finnish Health2000 study according to their HOMA-IR values measured in midlife (mean age at midlife 55.4 years; IR+ group, HOMA-IR > 2.17; IR- group, HOMA-IR <1.25), and their APOEε4 genotype. At late-life follow-up, [11C]PIB-PET composite SUVr was significantly higher in IR+ group than IR- group (median 2.3 (interquartile range 1.7-3.3) vs. 1.7 (1.5-2.4), p = 0.03). There was no difference between IR- and IR+ groups in [11C]PIB-PET SUVr 5-year change, but the change was significantly higher in IR+/APOEε4+ group (median change 0.8 (0.60-1.0)) than in IR-/APOEε4- (0.28 (0.14-0.47), p = 0.02) and in IR+/APOEε4- group (0.24 (0.06-0.40), p = 0.046). These results suggest that APOEε4 carriers with midlife IR are at increased risk for late-life Aβ accumulation.
Collapse
Affiliation(s)
- Elina Pietilä
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
| | - Anniina Snellman
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Jouni Tuisku
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Semi Helin
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Matti Viitanen
- Department of Geriatrics, Turku City Hospital and University of Turku, Finland; Division of Clinical Geriatrics, NVS, Karolinska Institutet, Stockholm, Sweden
| | - Antti Jula
- Finnish Institute for Health and Welfare, Turku, Finland
| | - Juha O Rinne
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland; InFLAMES Reseach Flagship Center, University of Turku, Turku, Finland
| | - Laura L Ekblad
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland; Department of Geriatrics, Turku University Hospital, Wellbeing services county of Southwestern Finland, Finland
| |
Collapse
|
2
|
Ni R, Chen Z, Deán-Ben XL, Voigt FF, Kirschenbaum D, Shi G, Villois A, Zhou Q, Crimi A, Arosio P, Nitsch RM, Nilsson KPR, Aguzzi A, Helmchen F, Klohs J, Razansky D. Multiscale optical and optoacoustic imaging of amyloid-β deposits in mice. Nat Biomed Eng 2022; 6:1031-1044. [PMID: 35835994 DOI: 10.1038/s41551-022-00906-1] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 05/27/2022] [Indexed: 12/26/2022]
Abstract
Deposits of amyloid-β (Aβ) in the brains of rodents can be analysed by invasive intravital microscopy on a submillimetre scale, or via whole-brain images from modalities lacking the resolution or molecular specificity to accurately characterize Aβ pathologies. Here we show that large-field multifocal illumination fluorescence microscopy and panoramic volumetric multispectral optoacoustic tomography can be combined to longitudinally assess Aβ deposits in transgenic mouse models of Alzheimer's disease. We used fluorescent Aβ-targeted probes (the luminescent conjugated oligothiophene HS-169 and the oxazine-derivative AOI987) to transcranially detect Aβ deposits in the cortex of APP/PS1 and arcAβ mice with single-plaque resolution (8 μm) and across the whole brain (including the hippocampus and the thalamus, which are inaccessible by conventional intravital microscopy) at sub-150 μm resolutions. Two-photon microscopy, light-sheet microscopy and immunohistochemistry of brain-tissue sections confirmed the specificity and regional distributions of the deposits. High-resolution multiscale optical and optoacoustic imaging of Aβ deposits across the entire brain in rodents thus facilitates the in vivo study of Aβ accumulation by brain region and by animal age and strain.
Collapse
Affiliation(s)
- Ruiqing Ni
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland.,Zurich Neuroscience Center (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland.,Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Zhenyue Chen
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland.,Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Xosé Luís Deán-Ben
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland.,Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Fabian F Voigt
- Zurich Neuroscience Center (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland.,Brain Research Institute, University of Zurich, Zurich, Switzerland
| | | | - Gloria Shi
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Alessia Villois
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Quanyu Zhou
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland.,Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Alessandro Crimi
- Institute of Neuropathology, Universitätsspital Zurich, Zurich, Switzerland
| | - Paolo Arosio
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Roger M Nitsch
- Zurich Neuroscience Center (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland.,Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - K Peter R Nilsson
- Division of Chemistry, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Adriano Aguzzi
- Zurich Neuroscience Center (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland.,Institute of Neuropathology, Universitätsspital Zurich, Zurich, Switzerland
| | - Fritjof Helmchen
- Zurich Neuroscience Center (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland.,Brain Research Institute, University of Zurich, Zurich, Switzerland
| | - Jan Klohs
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland. .,Zurich Neuroscience Center (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland.
| | - Daniel Razansky
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland. .,Zurich Neuroscience Center (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland. .,Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.
| |
Collapse
|
3
|
Chen B, Marquez-Nostra B, Belitzky E, Toyonaga T, Tong J, Huang Y, Cai Z. PET Imaging in Animal Models of Alzheimer’s Disease. Front Neurosci 2022; 16:872509. [PMID: 35685772 PMCID: PMC9171374 DOI: 10.3389/fnins.2022.872509] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
The successful development and translation of PET imaging agents targeting β-amyloid plaques and hyperphosphorylated tau tangles have allowed for in vivo detection of these hallmarks of Alzheimer’s disease (AD) antemortem. Amyloid and tau PET have been incorporated into the A/T/N scheme for AD characterization and have become an integral part of ongoing clinical trials to screen patients for enrollment, prove drug action mechanisms, and monitor therapeutic effects. Meanwhile, preclinical PET imaging in animal models of AD can provide supportive information for mechanistic studies. With the recent advancement of gene editing technologies and AD animal model development, preclinical PET imaging in AD models will further facilitate our understanding of AD pathogenesis/progression and the development of novel treatments. In this study, we review the current state-of-the-art in preclinical PET imaging using animal models of AD and suggest future research directions.
Collapse
|
4
|
Syvänen S, Meier SR, Roshanbin S, Xiong M, Faresjö R, Gustavsson T, Bonvicini G, Schlein E, Aguilar X, Julku U, Eriksson J, Sehlin D. PET Imaging in Preclinical Anti-Aβ Drug Development. Pharm Res 2022; 39:1481-1496. [PMID: 35501533 PMCID: PMC9246809 DOI: 10.1007/s11095-022-03277-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 04/25/2022] [Indexed: 11/21/2022]
Abstract
Positron emission tomography (PET), a medical imaging technique allowing for studies of the living human brain, has gained an important role in clinical trials of novel drugs against Alzheimer’s disease (AD). For example, PET data contributed to the conditional approval in 2021 of aducanumab, an antibody directed towards amyloid-beta (Aβ) aggregates, by showing a dose-dependent reduction in brain amyloid after treatment. In parallel to clinical studies, preclinical studies in animal models of Aβ pathology may also benefit from PET as a tool to detect target engagement and treatment effects of anti-Aβ drug candidates. PET is associated with a high level of translatability between species as similar, non-invasive protocols allow for longitudinal rather than cross-sectional studies and can be used both in a preclinical and clinical setting. This review focuses on the use of preclinical PET imaging in genetically modified animals that express human Aβ, and its present and potential future role in the development of drugs aimed at reducing brain Aβ levels as a therapeutic strategy to halt disease progression in AD.
Collapse
Affiliation(s)
- Stina Syvänen
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden.
| | - Silvio R Meier
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden
| | - Sahar Roshanbin
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden
| | - Mengfei Xiong
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden
| | - Rebecca Faresjö
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden
| | - Tobias Gustavsson
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden
| | - Gillian Bonvicini
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden.,BioArctic AB, Stockholm, Sweden
| | - Eva Schlein
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden
| | - Ximena Aguilar
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden
| | - Ulrika Julku
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden
| | - Jonas Eriksson
- Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden.,PET Centre, Uppsala University Hospital, Uppsala, Sweden
| | - Dag Sehlin
- Department of Public Health and Caring Sciences, Uppsala University, Dag Hammarskjöldsväg 20, 75185, Uppsala, Sweden
| |
Collapse
|
5
|
Snellman A, Ekblad LL, Koivumäki M, Lindgrén N, Tuisku J, Perälä M, Kallio L, Lehtonen R, Saunavaara V, Saunavaara J, Oikonen V, Aarnio R, Löyttyniemi E, Parkkola R, Karrasch M, Zetterberg H, Blennow K, Rinne JO. ASIC-E4: Interplay of Beta-Amyloid, Synaptic Density and Neuroinflammation in Cognitively Normal Volunteers With Three Levels of Genetic Risk for Late-Onset Alzheimer's Disease - Study Protocol and Baseline Characteristics. Front Neurol 2022; 13:826423. [PMID: 35222254 PMCID: PMC8863967 DOI: 10.3389/fneur.2022.826423] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/06/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Detailed characterization of early pathophysiological changes in preclinical Alzheimer's disease (AD) is necessary to enable development of correctly targeted and timed disease-modifying treatments. ASIC-E4 study ("Beta-Amyloid, Synaptic loss, Inflammation and Cognition in healthy APOE ε4 carriers") combines state-of-the-art neuroimaging and fluid-based biomarker measurements to study the early interplay of three key pathological features of AD, i.e., beta-amyloid (Aβ) deposition, neuroinflammation and synaptic dysfunction and loss in cognitively normal volunteers with three different levels of genetic (APOE-related) risk for late-onset AD. OBJECTIVE Here, our objective is to describe the study design, used protocols and baseline demographics of the ASIC-E4 study. METHODS/DESIGN ASIC-E4 is a prospective observational multimodal imaging study performed in Turku PET Centre in collaboration with University of Gothenburg. Cognitively normal 60-75-year-old-individuals with known APOE ε4/ε4 genotype were recruited via local Auria Biobank (Turku, Finland). Recruitment of the project has been completed in July 2020 and 63 individuals were enrolled to three study groups (Group 1: APOE ε4/ε4, N = 19; Group 2: APOE ε4/ε3, N = 22; Group 3: APOE ε3/ε3, N = 22). At baseline, all participants will undergo positron emission tomography imaging with tracers targeted against Aβ deposition (11C-PIB), activated glia (11C-PK11195) and synaptic vesicle glycoprotein 2A (11C-UCB-J), two brain magnetic resonance imaging scans, and extensive cognitive testing. In addition, blood samples are collected for various laboratory measurements and blood biomarker analysis and cerebrospinal fluid samples are collected from a subset of participants based on additional voluntary informed consent. To evaluate the predictive value of the early neuroimaging findings, neuropsychological evaluation and blood biomarker measurements will be repeated after a 4-year follow-up period. DISCUSSION Results of the ASIC-E4 project will bridge the gap related to limited knowledge of the synaptic and inflammatory changes and their association with each other and Aβ in "at-risk" individuals. Thorough in vivo characterization of the biomarker profiles in this population will produce valuable information for diagnostic purposes and future drug development, where the field has already started to look beyond Aβ.
Collapse
Affiliation(s)
- Anniina Snellman
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Laura L. Ekblad
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Mikko Koivumäki
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Noora Lindgrén
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Jouni Tuisku
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Merja Perälä
- Auria Biobank, Turku University Hospital, University of Turku, Turku, Finland
| | - Lila Kallio
- Auria Biobank, Turku University Hospital, University of Turku, Turku, Finland
| | - Riina Lehtonen
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Virva Saunavaara
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Vesa Oikonen
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Richard Aarnio
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | | | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Mira Karrasch
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
- UK Dementia Research Institute at UCL, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Juha O. Rinne
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| |
Collapse
|
6
|
Bouter C, Irwin C, Franke TN, Beindorff N, Bouter Y. Quantitative Brain Positron Emission Tomography in Female 5XFAD Alzheimer Mice: Pathological Features and Sex-Specific Alterations. Front Med (Lausanne) 2021; 8:745064. [PMID: 34901060 PMCID: PMC8661108 DOI: 10.3389/fmed.2021.745064] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 10/04/2021] [Indexed: 11/13/2022] Open
Abstract
Successful back-translating clinical biomarkers and molecular imaging methods of Alzheimer's disease (AD), including positron emission tomography (PET), are very valuable for the evaluation of new therapeutic strategies and increase the quality of preclinical studies. 18F-Fluorodeoxyglucose (FDG)–PET and 18F-Florbetaben–PET are clinically established biomarkers capturing two key pathological features of AD. However, the suitability of 18F-FDG– and amyloid–PET in the widely used 5XFAD mouse model of AD is still unclear. Furthermore, only data on male 5XFAD mice have been published so far, whereas studies in female mice and possible sex differences in 18F-FDG and 18F-Florbetaben uptake are missing. The aim of this study was to evaluate the suitability of 18F-FDG– and 18F-Florbetaben–PET in 7-month-old female 5XFAD and to assess possible sex differences between male and female 5XFAD mice. We could demonstrate that female 5XFAD mice showed a significant reduction in brain glucose metabolism and increased cerebral amyloid deposition compared with wild type animals, in accordance with the pathology seen in AD patients. Furthermore, we showed for the first time that the hypometabolism in 5XFAD mice is gender-dependent and more pronounced in female mice. Therefore, these results support the feasibility of small animal PET imaging with 18F-FDG- and 18F-Florbetaben in 5XFAD mice in both, male and female animals. Moreover, our findings highlight the need to account for sex differences in studies working with 5XFAD mice.
Collapse
Affiliation(s)
- Caroline Bouter
- Department of Nuclear Medicine, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| | - Caroline Irwin
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| | - Timon N Franke
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| | - Nicola Beindorff
- Berlin Experimental Radionuclide Imaging Center (BERIC), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Yvonne Bouter
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Georg-August-University, Göttingen, Germany
| |
Collapse
|
7
|
Ni R. Positron Emission Tomography in Animal Models of Alzheimer's Disease Amyloidosis: Translational Implications. Pharmaceuticals (Basel) 2021; 14:1179. [PMID: 34832961 PMCID: PMC8623863 DOI: 10.3390/ph14111179] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/13/2021] [Accepted: 11/15/2021] [Indexed: 12/30/2022] Open
Abstract
Animal models of Alzheimer's disease amyloidosis that recapitulate cerebral amyloid-beta pathology have been widely used in preclinical research and have greatly enabled the mechanistic understanding of Alzheimer's disease and the development of therapeutics. Comprehensive deep phenotyping of the pathophysiological and biochemical features in these animal models is essential. Recent advances in positron emission tomography have allowed the non-invasive visualization of the alterations in the brain of animal models and in patients with Alzheimer's disease. These tools have facilitated our understanding of disease mechanisms and provided longitudinal monitoring of treatment effects in animal models of Alzheimer's disease amyloidosis. In this review, we focus on recent positron emission tomography studies of cerebral amyloid-beta accumulation, hypoglucose metabolism, synaptic and neurotransmitter receptor deficits (cholinergic and glutamatergic system), blood-brain barrier impairment, and neuroinflammation (microgliosis and astrocytosis) in animal models of Alzheimer's disease amyloidosis. We further propose the emerging targets and tracers for reflecting the pathophysiological changes and discuss outstanding challenges in disease animal models and future outlook in the on-chip characterization of imaging biomarkers towards clinical translation.
Collapse
Affiliation(s)
- Ruiqing Ni
- Institute for Biomedical Engineering, ETH & University of Zurich, 8093 Zurich, Switzerland;
- Institute for Regenerative Medicine, University of Zurich, 8952 Zurich, Switzerland
| |
Collapse
|
8
|
Lindgren N, Kaprio J, Karjalainen T, Ekblad L, Helin S, Karrasch M, Teuho J, Rinne JO, Vuoksimaa E. Episodic memory and cortical amyloid pathology: PET study in cognitively discordant twin pairs. Neurobiol Aging 2021; 108:122-132. [PMID: 34607247 DOI: 10.1016/j.neurobiolaging.2021.08.016] [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: 12/18/2020] [Revised: 08/23/2021] [Accepted: 08/25/2021] [Indexed: 11/15/2022]
Abstract
We studied the association between episodic memory and cortical fibrillar β-amyloid pathology within twin pairs. Using telephone-administered cognitive screening of 1415 twin pairs in a population-based older Finnish Twin Cohort study, we identified 45 (mean [SD] age 72.9 [4.0] years, 40% women) cognitively discordant same-sex twin pairs (24 dizygotic and 21 monozygotic) without neurological or psychiatric disorders other than AD or mild cognitive impairment. In-person neuropsychological testing was conducted. Cortical amyloid was measured with carbon 11-labelled Pittsburgh compound B ([11C]PiB) positron emission tomography imaging and quantified as the average standardized uptake value ratio in cortical regions affected in AD. Larger within-twin pair differences in verbal immediate (r = -0.42) and delayed free recall (r = -0.41), and visual delayed free recall (r = -0.46) were associated with larger within-twin pair differences in [11C]PiB uptake (p's < 0.01). Correlations were not significantly different in dizygotic and monozygotic pairs suggesting that the episodic memory-cortical amyloid relationship is not confounded by genetic effects. However, larger samples are needed to draw more definitive conclusions.
Collapse
Affiliation(s)
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Finland
| | | | - Laura Ekblad
- Turku PET Centre, University of Turku, Finland; Alzheimer Center, Amsterdam UMC, Netherlands
| | - Semi Helin
- Turku PET Centre, University of Turku, Finland
| | - Mira Karrasch
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | - Jarmo Teuho
- Turku PET Centre, University of Turku, Finland; Department of Medical Physics, Turku University Hospital, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Juha O Rinne
- Turku PET Centre, University of Turku, Finland; Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Finland.
| |
Collapse
|
9
|
Meier SR, Sehlin D, Roshanbin S, Lim Falk V, Saito T, Saido TC, Neumann U, Rokka J, Eriksson J, Syvanen S. 11C-PIB and 124I-antibody PET provide differing estimates of brain amyloid-beta after therapeutic intervention. J Nucl Med 2021; 63:302-309. [PMID: 34088777 PMCID: PMC8805773 DOI: 10.2967/jnumed.121.262083] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 05/05/2021] [Indexed: 11/16/2022] Open
Abstract
PET imaging of amyloid-β (Aβ) has become an important component of Alzheimer disease diagnosis. 11C-Pittsburgh compound B (11C-PiB) and analogs bind to fibrillar Aβ. However, levels of nonfibrillar, soluble, aggregates of Aβ appear more dynamic during disease progression and more affected by Aβ-reducing treatments. The aim of this study was to compare an antibody-based PET ligand targeting nonfibrillar Aβ with 11C-PiB after β-secretase (BACE-1) inhibition in 2 Alzheimer disease mouse models at an advanced stage of Aβ pathology. Methods: Transgenic ArcSwe mice (16 mo old) were treated with the BACE-1 inhibitor NB-360 for 2 mo, whereas another group was kept as controls. A third group was analyzed at the age of 16 mo as a baseline. Mice were PET-scanned with 11C-PiB to measure Aβ plaque load followed by a scan with the bispecific radioligand 124I-RmAb158-scFv8D3 to investigate nonfibrillar aggregates of Aβ. The same study design was then applied to another mouse model, AppNL-G-F. In this case, NB-360 treatment was initiated at the age of 8 mo and animals were scanned with 11C-PiB-PET and 125I-RmAb158-scFv8D3 SPECT. Brain tissue was isolated after scanning, and Aβ levels were assessed. Results:124I-RmAb158-scFv8D3 concentrations measured with PET in hippocampus and thalamus of NB-360–treated ArcSwe mice were similar to those observed in baseline animals and significantly lower than concentrations observed in same-age untreated controls. Reduced 125I-RmAb158-scFv8D3 retention was also observed with SPECT in hippocampus, cortex, and cerebellum of NB-360–treated AppNL-G-F mice. Radioligand in vivo concentrations corresponded to postmortem brain tissue analysis of soluble Aβ aggregates. For both models, mice treated with NB-360 did not display a reduced 11C-PiB signal compared with untreated controls, and further, both NB-360 and control mice tended, although not reaching significance, to show higher 11C-PiB signal than the baseline groups. Conclusion: This study demonstrated the ability of an antibody-based radioligand to detect changes in brain Aβ levels after anti-Aβ therapy in ArcSwe and AppNL-G-F mice with pronounced Aβ pathology. In contrast, the decreased Aβ levels could not be quantified with 11C-PiB PET, suggesting that these ligands detect different pools of Aβ.
Collapse
|
10
|
Toppala S, Ekblad LL, Lötjönen J, Helin S, Hurme S, Johansson J, Jula A, Karrasch M, Koikkalainen J, Laine H, Parkkola R, Viitanen M, Rinne JO. Midlife Insulin Resistance as a Predictor for Late-Life Cognitive Function and Cerebrovascular Lesions. J Alzheimers Dis 2020; 72:215-228. [PMID: 31561373 PMCID: PMC6839606 DOI: 10.3233/jad-190691] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background: Type 2 diabetes (T2DM) increases the risk for Alzheimer’s disease (AD) but not for AD neuropathology. The association between T2DM and AD is assumed to be mediated through vascular mechanisms. However, insulin resistance (IR), the hallmark of T2DM, has been shown to associate with AD neuropathology and cognitive decline. Objective: To evaluate if midlife IR predicts late-life cognitive performance and cerebrovascular lesions (white matter hyperintensities and total vascular burden), and whether cerebrovascular lesions and brain amyloid load are associated with cognitive functioning. Methods: This exposure-to-control follow-up study examined 60 volunteers without dementia (mean age 70.9 years) with neurocognitive testing, brain 3T-MRI and amyloid-PET imaging. The volunteers were recruited from the Finnish Health 2000 survey (n = 6062) to attend follow-up examinations in 2014–2016 according to their insulin sensitivity in 2000 and their APOE genotype. The exposure group (n = 30) had IR in 2000 and the 30 controls had normal insulin sensitivity. There were 15 APOEɛ4 carriers per group. Statistical analyses were performed with multivariable linear models. Results: At follow-up the IR+group performed worse on executive functions (p = 0.02) and processing speed (p = 0.007) than the IR- group. The groups did not differ in cerebrovascular lesions. No associations were found between cerebrovascular lesions and neurocognitive test scores. Brain amyloid deposition associated with slower processing speed. Conclusion: Midlife IR predicted poorer executive functions and slower processing speed, but not cerebrovascular lesions. Brain amyloid deposition was associated with slower processing speed. The association between midlife IR and late-life cognition might not be mediated through cerebrovascular lesions measured here.
Collapse
Affiliation(s)
- Sini Toppala
- Turku PET Centre, University of Turku, Finland.,Turku City Hospital, University of Turku, Finland
| | | | | | - Semi Helin
- Turku PET Centre, University of Turku, Finland
| | - Saija Hurme
- Department of Biostatistics, University of Turku, Finland
| | - Jarkko Johansson
- Turku PET Centre, University of Turku, Finland.,Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Antti Jula
- National Institute for Health and Welfare, Turku, Finland
| | - Mira Karrasch
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | | | - Hanna Laine
- Turku City Hospital, University of Turku, Finland.,Department of Medicine, University of Turku, Turku University Hospital, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, Turku University and Turku University Hospital, Turku, Finland
| | - Matti Viitanen
- Turku City Hospital, University of Turku, Finland.,Clinical Geriatrics, Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden
| | - Juha O Rinne
- Turku PET Centre, University of Turku, Finland.,Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland
| |
Collapse
|
11
|
Leinonen V, Rauramaa T, Johansson J, Bottelbergs A, Tesseur I, van der Ark P, Pemberton D, Koivisto AM, Jääskeläinen JE, Hiltunen M, Herukka SK, Blennow K, Zetterberg H, Jokinen P, Rokka J, Helin S, Haaparanta-Solin M, Solin O, Okamura N, Kolb HC, Rinne JO. S-[18F]THK-5117-PET and [11C]PIB-PET Imaging in Idiopathic Normal Pressure Hydrocephalus in Relation to Confirmed Amyloid-β Plaques and Tau in Brain Biopsies. J Alzheimers Dis 2019; 64:171-179. [PMID: 29865068 DOI: 10.3233/jad-180071] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Detection of pathological tau aggregates could facilitate clinical diagnosis of Alzheimer's disease (AD) and monitor drug effects in clinical trials. S-[18F]THK-5117 could be a potential tracer to detect pathological tau deposits in brain. However, no previous study have correlated S-[18F]THK-5117 uptake in PET with brain biopsy verified tau pathology in vivo. OBJECTIVE Here we aim to evaluate the association between cerebrospinal fluid (CSF) AD biomarkers, S-[18F]THK-5117, and [11C]PIB PET against tau and amyloid lesions in brain biopsy. METHODS Fourteen patients with idiopathic normal pressure hydrocephalus (iNPH) with previous shunt surgery including right frontal cortical brain biopsy and CSF Aβ1 - 42, total tau, and P-tau181 measures, underwent brain MRI, [11C]PIB PET, and S-[18F]THK-5117 PET imaging. RESULTS Seven patients had amyloid-β (Aβ, 4G8) plaques, two both Aβ and phosphorylated tau (Pτ, AT8) and one only Pτ in biopsy. As expected, increased brain biopsy Aβ was well associated with higher [11C]PIB uptake in PET. However, S-[18F]THK-5117 uptake did not show any statistically significant correlation with either brain biopsy Pτ or CSF P-tau181 or total tau. CONCLUSIONS S-[18F]THK-5117 lacked clear association with neuropathologically verified tau pathology in brain biopsy probably, at least partially, due to off-target binding. Further studies with larger samples of patients with different tau tracers are urgently needed. The detection of simultaneous Aβ and tau pathology in iNPH is important since that may indicate poorer and especially shorter response for CSF shunt surgery compared with no pathology.
Collapse
Affiliation(s)
- Ville Leinonen
- Institute of Clinical Medicine - Neurosurgery, University of Eastern Finland and Department of Neurosurgery, Kuopio University Hospital, Kuopio, Finland.,Unit of ClinicalNeuroscience, Neurosurgery, University of Oulu and Medical Research Center, Oulu University Hospital, Oulu, Finland
| | - Tuomas Rauramaa
- Institute of Clinical Medicine - Pathology, University of Eastern Finland andDepartment of Pathology, Kuopio University Hospital, Kuopio, Finland
| | | | - Astrid Bottelbergs
- Janssen Research and Development, A Division of Janssen Pharmaceutica, Beerse, Belgium
| | - Ina Tesseur
- Janssen Research and Development, A Division of Janssen Pharmaceutica, Beerse, Belgium
| | - Peter van der Ark
- Janssen Research and Development, A Division of Janssen Pharmaceutica, Beerse, Belgium
| | - Darrel Pemberton
- Janssen Research and Development, A Division of Janssen Pharmaceutica, Beerse, Belgium
| | - Anne M Koivisto
- Institute of Clinical Medicine - Neurology, Universityof Eastern Finland and Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Juha E Jääskeläinen
- Institute of Clinical Medicine - Neurosurgery, University of Eastern Finland and Department of Neurosurgery, Kuopio University Hospital, Kuopio, Finland
| | - Mikko Hiltunen
- Institute of Clinical Medicine - Neurology, Universityof Eastern Finland and Department of Neurology, Kuopio University Hospital, Kuopio, Finland.,Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine - Neurology, Universityof Eastern Finland and Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska Academy Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska Academy Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden.,Department of MolecularNeuroscience, Institute of Neurology, University College London, Queen, Square, UK.,UK DementiaResearch Institute, London, UK
| | - Pekka Jokinen
- Turku PET Centre, University of Turku, Turku, Finland.,Department of Neurosurgery, Turku University Hospital, Turku, Finland
| | - Johanna Rokka
- Radiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Turku, Finland.,Athinoula A. Martinos Center, Department of Radiology, Massachusetts GeneralHospital, Harvard Medical School, Charlestown, MA, USA
| | - Semi Helin
- Radiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Turku, Finland
| | - Merja Haaparanta-Solin
- PET Preclinical Imaging Laboratory, Turku PET Centre, University of Turku, Turku, Finland.,MediCity Research Laboratory, University of Turku, Turku, Finland
| | - Olof Solin
- Radiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Turku, Finland.,Department of Chemistry, University of Turku, Turku, Finland.,Accelerator Laboratory, Turku PET Centre, Åbo Akademi University, Turku, Finland
| | | | | | - Juha O Rinne
- Turku PET Centre, University of Turku, Turku, Finland.,Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland
| |
Collapse
|
12
|
Martikainen IK, Kemppainen N, Johansson J, Teuho J, Helin S, Liu Y, Helisalmi S, Soininen H, Parkkola R, Ngandu T, Kivipelto M, Rinne JO. Brain β-Amyloid and Atrophy in Individuals at Increased Risk of Cognitive Decline. AJNR Am J Neuroradiol 2018; 40:80-85. [PMID: 30545837 DOI: 10.3174/ajnr.a5891] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 10/12/2018] [Indexed: 01/18/2023]
Abstract
BACKGROUND AND PURPOSE The relationship between brain β-amyloid and regional atrophy is still incompletely understood in elderly individuals at risk of dementia. Here, we studied the associations between brain β-amyloid load and regional GM and WM volumes in older adults who were clinically evaluated as being at increased risk of cognitive decline based on cardiovascular risk factors. MATERIALS AND METHODS Forty subjects (63-81 years of age) were recruited as part of a larger study, the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability. Neuroimaging consisted of PET using 11C Pittsburgh compound-B and T1-weighted 3D MR imaging for the measurement of brain β-amyloid and GM and WM volumes, respectively. All subjects underwent clinical, genetic, and neuropsychological evaluations for the assessment of cognitive function and the identification of cardiovascular risk factors. RESULTS Sixteen subjects were visually evaluated as showing cortical β-amyloid (positive for β-amyloid). In the voxel-by-voxel analyses, no significant differences were found in GM and WM volumes between the samples positive and negative for β-amyloid. However, in the sample positive for β-amyloid, increases in 11C Pittsburgh compound-B uptake were associated with reductions in GM volume in the left prefrontal (P = .02) and right temporal lobes (P = .04). CONCLUSIONS Our results show a significant association between increases in brain β-amyloid and reductions in regional GM volume in individuals at increased risk of cognitive decline. This evidence is consistent with a model in which increases in β-amyloid incite neurodegeneration in memory systems before cognitive impairment manifests.
Collapse
Affiliation(s)
- I K Martikainen
- From the Department of Radiology (I.K.M.), Medical Imaging Center, Tampere University Hospital, Tampere, Finland
| | - N Kemppainen
- Division of Clinical Neurosciences (N.K., J.O.R.), Turku University Hospital, Turku, Finland.,Turku PET Centre (N.K., J.J., J.T., S. Helin, J.O.R.), University of Turku, Turku, Finland
| | - J Johansson
- Turku PET Centre (N.K., J.J., J.T., S. Helin, J.O.R.), University of Turku, Turku, Finland
| | - J Teuho
- Turku PET Centre (N.K., J.J., J.T., S. Helin, J.O.R.), University of Turku, Turku, Finland
| | - S Helin
- Turku PET Centre (N.K., J.J., J.T., S. Helin, J.O.R.), University of Turku, Turku, Finland
| | - Y Liu
- Department of Neurology (Y.L., S. Helisalmi, H.S., M.K.), University of Eastern Finland, Kuopio, Finland.,Neurocenter (Y.L., H.S., M.K.), Neurology, Kuopio University Hospital, Kuopio, Finland
| | - S Helisalmi
- Department of Neurology (Y.L., S. Helisalmi, H.S., M.K.), University of Eastern Finland, Kuopio, Finland
| | - H Soininen
- Department of Neurology (Y.L., S. Helisalmi, H.S., M.K.), University of Eastern Finland, Kuopio, Finland.,Neurocenter (Y.L., H.S., M.K.), Neurology, Kuopio University Hospital, Kuopio, Finland
| | - R Parkkola
- Department of Radiology (R.P.), University of Turku and Turku University Hospital, Turku, Finland
| | - T Ngandu
- Department of Public Health Solutions (T.N., M.K.), Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland.,Division of Clinical Geriatrics (T.N., M.K.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - M Kivipelto
- Department of Neurology (Y.L., S. Helisalmi, H.S., M.K.), University of Eastern Finland, Kuopio, Finland.,Neurocenter (Y.L., H.S., M.K.), Neurology, Kuopio University Hospital, Kuopio, Finland.,Department of Public Health Solutions (T.N., M.K.), Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland.,Division of Clinical Geriatrics (T.N., M.K.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - J O Rinne
- Division of Clinical Neurosciences (N.K., J.O.R.), Turku University Hospital, Turku, Finland.,Turku PET Centre (N.K., J.J., J.T., S. Helin, J.O.R.), University of Turku, Turku, Finland
| |
Collapse
|
13
|
Lichtenegger A, Muck M, Eugui P, Harper DJ, Augustin M, Leskovar K, Hitzenberger CK, Woehrer A, Baumann B. Assessment of pathological features in Alzheimer's disease brain tissue with a large field-of-view visible-light optical coherence microscope. NEUROPHOTONICS 2018; 5:035002. [PMID: 30137880 PMCID: PMC6057230 DOI: 10.1117/1.nph.5.3.035002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 07/09/2018] [Indexed: 05/18/2023]
Abstract
We implemented a wide field-of-view visible-light optical coherence microscope (OCM) for investigating ex-vivo brain tissue of patients diagnosed with Alzheimer's disease (AD) and of a mouse model of AD. A submicrometer axial resolution in tissue was achieved using a broad visible light spectrum. The use of various objective lenses enabled reaching micrometer transversal resolution and the acquisition of images of microscopic brain features, such as cell structures, vessels, and white matter tracts. Amyloid-beta plaques in the range of 10 to 70 μ m were visualized. Large field-of-view images of young and old mouse brain sections were imaged using an automated x - y - z stage. The plaque load was characterized, revealing an age-related increase. Human brain tissue affected by cerebral amyloid angiopathy was investigated and hyperscattering structures resembling amyloid beta accumulations in the vessel walls were identified. All results were in good agreement with histology. A comparison of plaque features in both human and mouse brain tissue was performed, revealing an increase in plaque load and a decrease in reflectivity for mouse as compared with human brain tissue. Based on the promising outcome of our experiments, visible light OCM might be a powerful tool for investigating microscopic features in ex-vivo brain tissue.
Collapse
Affiliation(s)
- Antonia Lichtenegger
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria
| | - Martina Muck
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria
- General Hospital and Medical University of Vienna, Institute of Neurology, Vienna, Austria
| | - Pablo Eugui
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria
| | - Danielle J. Harper
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria
| | - Marco Augustin
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria
| | - Konrad Leskovar
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria
- Vienna University of Technology, Institute of Applied Physics, Vienna, Austria
| | - Christoph K. Hitzenberger
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria
| | - Adelheid Woehrer
- General Hospital and Medical University of Vienna, Institute of Neurology, Vienna, Austria
| | - Bernhard Baumann
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Vienna, Austria
| |
Collapse
|
14
|
Ekblad LL, Johansson J, Helin S, Viitanen M, Laine H, Puukka P, Jula A, Rinne JO. Midlife insulin resistance, APOE genotype, and late-life brain amyloid accumulation. Neurology 2018; 90:e1150-e1157. [PMID: 29476033 PMCID: PMC5880630 DOI: 10.1212/wnl.0000000000005214] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 12/21/2017] [Indexed: 01/01/2023] Open
Abstract
Objective To examine whether midlife insulin resistance is an independent risk factor for brain amyloid accumulation in vivo after 15 years, and whether this risk is modulated by APOE ε4 genotype. Methods This observational study examined 60 elderly volunteers without dementia (mean age at baseline 55.4 and at follow-up 70.9 years, 55.5% women) from the Finnish population-based, nationwide Health2000 study with [11C]Pittsburgh compound B–PET imaging in 2014–2016. The participants were recruited according to their homeostatic model assessment of insulin resistance (HOMA-IR) values in the year 2000, and their APOE ε4 genotype. The exposure group (IR+, n = 30) consisted of individuals with HOMA-IR >2.17 at baseline (highest tertile of the Health2000 study population), and the control group (IR−, n = 30) consisted of individuals with HOMA-IR <1.25 at baseline (lowest tertile). The groups were enriched for APOE ε4 carriers, resulting in 50% (n = 15) APOE ε4 carriers in both groups. Analyses were performed with multivariate logistic and linear regression. Results An amyloid-positive PET scan was found in 33.3% of the IR− group and 60.0% of the IR+ group (odds ratio 3.0, 95% confidence interval 1.1–8.9, p = 0.04). The increased risk was seen in carriers and noncarriers of APOE ε4 genotype. Higher midlife, but not late-life continuous HOMA-IR was associated with a greater brain amyloid burden at follow-up after multivariate adjustments for other cognitive and metabolic risk factors (β = 0.11, 95% confidence interval 0.002–0.22, p = 0.04). Conclusions These results indicate that midlife insulin resistance is an independent risk factor for brain amyloid accumulation in elderly individuals without dementia.
Collapse
Affiliation(s)
- Laura L Ekblad
- From the Turku PET Centre (L.L.E., J.J., S.H., J.O.R.) and Department of Geriatrics (M.V., H.L.), Turku City Hospital (M.V., H.L.), University of Turku, Finland; Department of Radiation Sciences (J.J.), Umeå University; Clinical Geriatrics (M.V.), Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden; Department of Medicine, University of Turku (H.L.), and Division of Clinical Neurosciences (J.O.R.), Turku University Hospital; and National Institute for Health and Welfare (P.P., A.J.), Turku, Finland.
| | - Jarkko Johansson
- From the Turku PET Centre (L.L.E., J.J., S.H., J.O.R.) and Department of Geriatrics (M.V., H.L.), Turku City Hospital (M.V., H.L.), University of Turku, Finland; Department of Radiation Sciences (J.J.), Umeå University; Clinical Geriatrics (M.V.), Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden; Department of Medicine, University of Turku (H.L.), and Division of Clinical Neurosciences (J.O.R.), Turku University Hospital; and National Institute for Health and Welfare (P.P., A.J.), Turku, Finland
| | - Semi Helin
- From the Turku PET Centre (L.L.E., J.J., S.H., J.O.R.) and Department of Geriatrics (M.V., H.L.), Turku City Hospital (M.V., H.L.), University of Turku, Finland; Department of Radiation Sciences (J.J.), Umeå University; Clinical Geriatrics (M.V.), Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden; Department of Medicine, University of Turku (H.L.), and Division of Clinical Neurosciences (J.O.R.), Turku University Hospital; and National Institute for Health and Welfare (P.P., A.J.), Turku, Finland
| | - Matti Viitanen
- From the Turku PET Centre (L.L.E., J.J., S.H., J.O.R.) and Department of Geriatrics (M.V., H.L.), Turku City Hospital (M.V., H.L.), University of Turku, Finland; Department of Radiation Sciences (J.J.), Umeå University; Clinical Geriatrics (M.V.), Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden; Department of Medicine, University of Turku (H.L.), and Division of Clinical Neurosciences (J.O.R.), Turku University Hospital; and National Institute for Health and Welfare (P.P., A.J.), Turku, Finland
| | - Hanna Laine
- From the Turku PET Centre (L.L.E., J.J., S.H., J.O.R.) and Department of Geriatrics (M.V., H.L.), Turku City Hospital (M.V., H.L.), University of Turku, Finland; Department of Radiation Sciences (J.J.), Umeå University; Clinical Geriatrics (M.V.), Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden; Department of Medicine, University of Turku (H.L.), and Division of Clinical Neurosciences (J.O.R.), Turku University Hospital; and National Institute for Health and Welfare (P.P., A.J.), Turku, Finland
| | - Pauli Puukka
- From the Turku PET Centre (L.L.E., J.J., S.H., J.O.R.) and Department of Geriatrics (M.V., H.L.), Turku City Hospital (M.V., H.L.), University of Turku, Finland; Department of Radiation Sciences (J.J.), Umeå University; Clinical Geriatrics (M.V.), Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden; Department of Medicine, University of Turku (H.L.), and Division of Clinical Neurosciences (J.O.R.), Turku University Hospital; and National Institute for Health and Welfare (P.P., A.J.), Turku, Finland
| | - Antti Jula
- From the Turku PET Centre (L.L.E., J.J., S.H., J.O.R.) and Department of Geriatrics (M.V., H.L.), Turku City Hospital (M.V., H.L.), University of Turku, Finland; Department of Radiation Sciences (J.J.), Umeå University; Clinical Geriatrics (M.V.), Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden; Department of Medicine, University of Turku (H.L.), and Division of Clinical Neurosciences (J.O.R.), Turku University Hospital; and National Institute for Health and Welfare (P.P., A.J.), Turku, Finland
| | - Juha O Rinne
- From the Turku PET Centre (L.L.E., J.J., S.H., J.O.R.) and Department of Geriatrics (M.V., H.L.), Turku City Hospital (M.V., H.L.), University of Turku, Finland; Department of Radiation Sciences (J.J.), Umeå University; Clinical Geriatrics (M.V.), Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden; Department of Medicine, University of Turku (H.L.), and Division of Clinical Neurosciences (J.O.R.), Turku University Hospital; and National Institute for Health and Welfare (P.P., A.J.), Turku, Finland
| |
Collapse
|