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Chu M, Jiang D, Nan H, Wen L, Liu L, Qu M, Wu L. Vascular dysfunction in sporadic bvFTD: white matter hyperintensity and peripheral vascular biomarkers. Alzheimers Res Ther 2024; 16:72. [PMID: 38581060 PMCID: PMC10998369 DOI: 10.1186/s13195-024-01422-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 02/28/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Vascular dysfunction was recently reported to be involved in the pathophysiological process of neurodegenerative diseases, but its role in sporadic behavioral variant frontotemporal dementia (bvFTD) remains unclear. The aim of this study was to systematically explore vascular dysfunction, including changes in white matter hyperintensities (WMHs) and peripheral vascular markers in bvFTD. METHODS Thirty-two patients with bvFTD who with no vascular risk factors were enrolled in this cross-sectional study and assessed using positron emission tomography/magnetic resonance (PET/MRI) imaging, peripheral plasma vascular/inflammation markers, and neuropsychological examinations. Group differences were tested using Student's t-tests and Mann-Whitney U tests. A partial correlation analysis was implemented to explore the association between peripheral vascular markers, neuroimaging, and clinical measures. RESULTS WMH was mainly distributed in anterior brain regions. All peripheral vascular factors including matrix metalloproteinases-1 (MMP-1), MMP-3, osteopontin, and pentraxin-3 were increased in the bvFTD group. WMH was associated with the peripheral vascular factor pentraxin-3. The plasma level of MMP-1 was negatively correlated with the gray matter metabolism of the frontal, temporal, insula, and basal ganglia brain regions. The WMHs in the frontal and limbic lobes were associated with plasma inflammation markers, disease severity, executive function, and behavior abnormality. Peripheral vascular markers were associated with the plasma inflammation markers. CONCLUSIONS WMHs and abnormalities in peripheral vascular markers were found in patients with bvFTD. These were found to be associated with the disease-specific pattern of neurodegeneration, indicating that vascular dysfunction may be involved in the pathogenesis of bvFTD. This warrants further confirmation by postmortem autopsy. Targeting the vascular pathway might be a promising approach for potential therapy.
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Affiliation(s)
- Min Chu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Deming Jiang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Haitian Nan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Lulu Wen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Li Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Miao Qu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Liyong Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
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Yu Z, Pang H, Yang Y, Luo D, Zheng H, Huang Z, Zhang M, Ren K. Microglia dysfunction drives disrupted hippocampal amplitude of low frequency after acute kidney injury. CNS Neurosci Ther 2024; 30:e14363. [PMID: 37469216 PMCID: PMC10848109 DOI: 10.1111/cns.14363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/20/2023] [Accepted: 06/24/2023] [Indexed: 07/21/2023] Open
Abstract
AIMS Acute kidney injury (AKI) has been associated with a variety of neurological problems, while the neurobiological mechanism remains unclear. In the present study, we utilized resting-state functional magnetic resonance imaging (rs-fMRI) to detect brain injury at an early stage and investigated the impact of microglia on the neuropathological mechanism of AKI. METHODS Rs-fMRI data were collected from AKI rats and the control group with a 9.4-Tesla scanner at 24, 48, and 72 h post administration of contrast medium or saline. The amplitude of low-frequency fluctuations (ALFF) was then compared across the groups at each time course. Additionally, flow cytometry and SMART-seq2 were employed to evaluate microglia. Furthermore, pathological staining and Western blot were used to analyze the samples. RESULTS MRI results revealed that AKI led to a decreased ALFF in the hippocampus, particularly in the 48 h and 72 h groups. Additionally, western blot suggested that AKI-induced the neuronal apoptosis at 48 h and 72 h. Flow cytometry and confocal microscopy images demonstrated that AKI activated the aggregation of microglia into neurons at 24 h, with a strong upregulation of M1 polarization at 48 h and peaking at 72 h, accompanying with the release of proinflammatory cytokines. The ALFF value was strongly correlated with the proportion of microglia (|r| > 0.80, p < 0.001). CONCLUSIONS Our study demonstrated that microglia aggregation and inflammatory factor upregulation are significant mechanisms of AKI-induced neuronal apoptosis. We used fMRI to detect the alterations in hippocampal function, which may provide a noninvasive method for the early detection of brain injury after AKI.
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Affiliation(s)
- Ziyang Yu
- School of MedicineXiamen UniversityXiamenChina
| | - Huize Pang
- Department of RadiologyThe First Hospital of China Medical UniversityShenyangChina
| | - Yifan Yang
- School of MedicineXiamen UniversityXiamenChina
| | - Doudou Luo
- School of MedicineXiamen UniversityXiamenChina
| | - Haiping Zheng
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life SciencesXiamen UniversityXiamenChina
| | - Zicheng Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics and Center for Molecular Imaging and Translational Medicine, School of Public HealthXiamen UniversityXiamenChina
| | - Mingxia Zhang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life SciencesXiamen UniversityXiamenChina
| | - Ke Ren
- School of MedicineXiamen UniversityXiamenChina
- Department of RadiologyThe First Hospital of China Medical UniversityShenyangChina
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Vítor J, Saracino D, Ströer S, Camuzat A, Dorgham K, Clot F, Martin-Hardy P, Pasquier F, Le Ber I. Atypical White Matter Hyperintensities Markedly Impact Plasma Neurofilament Light Chain Variability in GRN Patients. J Alzheimers Dis 2023; 94:1351-1360. [PMID: 37393503 DOI: 10.3233/jad-230315] [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] [Indexed: 07/03/2023]
Abstract
GRN mutations, causing frontotemporal dementia, can be associated with atypical white matter hyperintensities (WMH). We hypothesized that the presence of WMH may impact neurofilament light chain (NfL) levels, markers of neuroaxonal damage. We analyzed plasma NfL in 20 GRN patients and studied their association to visually-scored WMH burden. The 12 patients displaying atypical WMH had significantly higher NfL levels (98.4±34.9 pg/mL) than those without WMH (47.2±29.4 pg/mL, p = 0.003), independently from age, disease duration and Fazekas-Schmidt grade. NfL correlated with WMH burden (rho = 0.55, p = 0.01). This study prompts considering WMH burden as a variability factor when evaluating NfL levels in GRN patients.
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Affiliation(s)
- Joana Vítor
- Sorbonne Université, Paris Brain Institute, Institut du Cerveau, ICM, Inserm U1127, CNRS UMR 7225, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Dario Saracino
- Sorbonne Université, Paris Brain Institute, Institut du Cerveau, ICM, Inserm U1127, CNRS UMR 7225, APHP, Hôpital Pitié-Salpêtrière, Paris, France
- AP-HP, Reference Centre for Rare or Early onset Dementias, IM2A, Department of Neurology, Hôpital Pitié-Salpêtrière, Paris, France
| | - Sebastian Ströer
- Department of Neuroradiology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Agnès Camuzat
- Sorbonne Université, Paris Brain Institute, Institut du Cerveau, ICM, Inserm U1127, CNRS UMR 7225, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Karim Dorgham
- Sorbonne Université, INSERM, Centred'Immunologie et des Maladies Infectieuses-Paris (CIMI-Paris), Paris, France
| | - Fabienne Clot
- AP-HP.Sorbonne Université, Department of Genetics, UF of Molecular and Cellular Neurogenetics, Hôpital Pitié-Salpêtrière, Paris, France
| | - Philippe Martin-Hardy
- Sorbonne Université, Paris Brain Institute, Institut du Cerveau, ICM, Inserm U1127, CNRS UMR 7225, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Florence Pasquier
- Univ Lille, Inserm 1172 LilNCOG, CHU Lille, CNR-MAJ, DistAlz, LiCEND Lille, France
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute, Institut du Cerveau, ICM, Inserm U1127, CNRS UMR 7225, APHP, Hôpital Pitié-Salpêtrière, Paris, France
- AP-HP, Reference Centre for Rare or Early onset Dementias, IM2A, Department of Neurology, Hôpital Pitié-Salpêtrière, Paris, France
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Lee H, Mackenzie IRA, Beg MF, Popuri K, Rademakers R, Wittenberg D, Hsiung GYR. White-matter abnormalities in presymptomatic GRN and C9orf72 mutation carriers. Brain Commun 2022; 5:fcac333. [PMID: 36632182 PMCID: PMC9825756 DOI: 10.1093/braincomms/fcac333] [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: 06/21/2022] [Revised: 08/26/2022] [Accepted: 12/18/2022] [Indexed: 12/23/2022] Open
Abstract
A large proportion of familial frontotemporal dementia is caused by TAR DNA-binding protein 43 (transactive response DNA-binding protein 43 kDa) proteinopathies. Accordingly, carriers of autosomal dominant mutations in the genes associated with TAR DNA-binding protein 43 aggregation, such as Chromosome 9 open reading frame 72 (C9orf72) or progranulin (GRN), are at risk of later developing frontotemporal dementia. Brain imaging abnormalities that develop before dementia onset in mutation carriers may serve as proxies for the presymptomatic stages of familial frontotemporal dementia due to a genetic cause. Our study objective was to investigate brain MRI-based white-matter changes in predementia participants carrying mutations in C9orf72 or GRN genes. We analysed mutation carriers and their family member controls (noncarriers) from the University of British Columbia familial frontotemporal dementia study. First, a total of 42 participants (8 GRN carriers; 11 C9orf72 carriers; 23 noncarriers) had longitudinal T1-weighted MRI over ∼2 years. White-matter signal hypointensities were segmented and volumes were calculated for each participant. General linear models were applied to compare the baseline burden and the annualized rate of accumulation of signal abnormalities among mutation carriers and noncarriers. Second, a total of 60 participants (9 GRN carriers; 17 C9orf72 carriers; 34 noncarriers) had cross-sectional diffusion tensor MRI available. For each participant, we calculated the average fractional anisotropy and mean, radial and axial diffusivity parameter values within the normal-appearing white-matter tissues. General linear models were applied to compare whether mutation carriers and noncarriers had different trends in diffusion tensor imaging parameter values as they neared the expected age of onset. Baseline volumes of white-matter signal abnormalities were not significantly different among mutation carriers and noncarriers. Longitudinally, GRN carriers had significantly higher annualized rates of accumulation (estimated mean: 15.87%/year) compared with C9orf72 carriers (3.69%/year) or noncarriers (2.64%/year). A significant relationship between diffusion tensor imaging parameter values and increasing expected age of onset was found in the periventricular normal-appearing white-matter region. Specifically, GRN carriers had a tendency of a faster increase of mean and radial diffusivity values and C9orf72 carriers had a tendency of a faster decline of fractional anisotropy values as they reached closer to the expected age of dementia onset. These findings suggest that white-matter changes may represent early markers of familial frontotemporal dementia due to genetic causes. However, GRN and C9orf72 mutation carriers may have different mechanisms leading to tissue abnormalities.
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Affiliation(s)
- Hyunwoo Lee
- Correspondence to: Hyunwoo Lee S154-2211 Wesbrook Mall Vancouver, B.C., Canada V6T 2B5 E-mail:
| | - Ian R A Mackenzie
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver V6T2B5, Canada
| | - Mirza Faisal Beg
- School of Engineering Science, Simon Fraser University, Burnaby V5A1S6, Canada
| | - Karteek Popuri
- Department of Computer Science, Memorial University of Newfoundland, St John’s A1B3X5, Canada
| | - Rosa Rademakers
- Applied and Translational Neurogenomics, VIB Center for Molecular Neurology, VIB, Antwerp 2610, Belgium,Department of Biomedical Sciences, University of Antwerp, Antwerp 2610, Belgium,Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Dana Wittenberg
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver V6T2B5, Canada
| | - Ging-Yuek Robin Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver V6T2B5, Canada
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5
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White matter hyperintensity distribution differences in aging and neurodegenerative disease cohorts. Neuroimage Clin 2022; 36:103204. [PMID: 36155321 PMCID: PMC9668605 DOI: 10.1016/j.nicl.2022.103204] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 09/12/2022] [Accepted: 09/16/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION White matter hyperintensities (WMHs) are common magnetic resonance imaging (MRI) findings in the aging population in general, as well as in patients with neurodegenerative diseases. They are known to exacerbate the cognitive deficits and worsen the clinical outcomes in the patients. However, it is not well-understood whether there are disease-specific differences in prevalence and distribution of WMHs in different neurodegenerative disorders. METHODS Data included 976 participants with cross-sectional T1-weighted and fluid attenuated inversion recovery (FLAIR) MRIs from the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) cohort of the Canadian Consortium on Neurodegeneration in Aging (CCNA) with eleven distinct diagnostic groups: cognitively intact elderly (CIE), subjective cognitive impairment (SCI), mild cognitive impairment (MCI), vascular MCI (V-MCI), Alzheimer's dementia (AD), vascular AD (V-AD), frontotemporal dementia (FTD), Lewy body dementia (LBD), cognitively intact elderly with Parkinson's disease (PD-CIE), cognitively impaired Parkinson's disease (PD-CI), and mixed dementias. WMHs were segmented using a previously validated automated technique. WMH volumes in each lobe and hemisphere were compared against matched CIE individuals, as well as each other, and between men and women. RESULTS All cognitively impaired diagnostic groups had significantly greater overall WMH volumes than the CIE group. Vascular groups (i.e. V-MCI, V-AD, and mixed dementia) had significantly greater WMH volumes than all other groups, except for FTD, which also had significantly greater WMH volumes than all non-vascular groups. Women tended to have lower WMH burden than men in most groups and regions, controlling for age. The left frontal lobe tended to have a lower WMH burden than the right in all groups. In contrast, the right occipital lobe tended to have greater WMH volumes than the left. CONCLUSIONS There were distinct differences in WMH prevalence and distribution across diagnostic groups, sexes, and in terms of asymmetry. WMH burden was significantly greater in all neurodegenerative dementia groups, likely encompassing areas exclusively impacted by neurodegeneration as well as areas related to cerebrovascular disease pathology.
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McKenna MC, Lope J, Tan EL, Bede P. Pre-symptomatic radiological changes in frontotemporal dementia: propagation characteristics, predictive value and implications for clinical trials. Brain Imaging Behav 2022; 16:2755-2767. [PMID: 35920960 DOI: 10.1007/s11682-022-00711-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2022] [Indexed: 11/25/2022]
Abstract
Computational imaging and quantitative biomarkers offer invaluable insights in the pre-symptomatic phase of neurodegenerative conditions several years before clinical manifestation. In recent years, there has been a focused effort to characterize pre-symptomatic cerebral changes in familial frontotemporal dementias using computational imaging. Accordingly, a systematic literature review was conducted of original articles investigating pre-symptomatic imaging changes in frontotemporal dementia focusing on study design, imaging modalities, data interpretation, control cohorts and key findings. The review is limited to the most common genotypes: chromosome 9 open reading frame 72 (C9orf72), progranulin (GRN), or microtubule-associated protein tau (MAPT) genotypes. Sixty-eight studies were identified with a median sample size of 15 (3-141) per genotype. Only a minority of studies were longitudinal (28%; 19/68) with a median follow-up of 2 (1-8) years. MRI (97%; 66/68) was the most common imaging modality, and primarily grey matter analyses were conducted (75%; 19/68). Some studies used multimodal analyses 44% (30/68). Genotype-associated imaging signatures are presented, innovative study designs are highlighted, common methodological shortcomings are discussed and lessons for future studies are outlined. Emerging academic observations have potential clinical implications for expediting the diagnosis, tracking disease progression and optimising the timing of pharmaceutical trials.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland.,Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland. .,Department of Neurology, St James's Hospital, Dublin, Ireland.
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Wang S, Zhang F, Huang P, Hong H, Jiaerken Y, Yu X, Zhang R, Zeng Q, Zhang Y, Kikinis R, Rathi Y, Makris N, Lou M, Pasternak O, Zhang M, O'Donnell LJ. Superficial white matter microstructure affects processing speed in cerebral small vessel disease. Hum Brain Mapp 2022; 43:5310-5325. [PMID: 35822593 PMCID: PMC9812245 DOI: 10.1002/hbm.26004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 06/10/2022] [Accepted: 06/15/2022] [Indexed: 01/15/2023] Open
Abstract
White matter hyperintensities (WMH) are a typical feature of cerebral small vessel disease (CSVD), which contributes to about 50% of dementias worldwide. Microstructural alterations in deep white matter (DWM) have been widely examined in CSVD. However, little is known about abnormalities in superficial white matter (SWM) and their relevance for processing speed, the main cognitive deficit in CSVD. In 141 CSVD patients, processing speed was assessed using Trail Making Test Part A. White matter abnormalities were assessed by WMH burden (volume on T2-FLAIR) and diffusion MRI measures. SWM imaging measures had a large contribution to processing speed, despite a relatively low SWM WMH burden. Across all imaging measures, SWM free water (FW) had the strongest association with processing speed, followed by SWM mean diffusivity (MD). SWM FW was the only marker to significantly increase between two subgroups with the lowest WMH burdens. When comparing two subgroups with the highest WMH burdens, the involvement of WMH in the SWM was accompanied by significant differences in processing speed and white matter microstructure. Mediation analysis revealed that SWM FW fully mediated the association between WMH volume and processing speed, while no mediation effect of MD or DWM FW was observed. Overall, results suggest that the SWM has an important contribution to processing speed, while SWM FW is a sensitive imaging marker associated with cognition in CSVD. This study extends the current understanding of CSVD-related dysfunction and suggests that the SWM, as an understudied region, can be a potential target for monitoring pathophysiological processes.
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Affiliation(s)
- Shuyue Wang
- Department of Radiologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina,Brigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Fan Zhang
- Brigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Peiyu Huang
- Department of Radiologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina
| | - Hui Hong
- Department of Radiologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina
| | - Yeerfan Jiaerken
- Department of Radiologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina
| | - Xinfeng Yu
- Department of Radiologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina
| | - Ruiting Zhang
- Department of Radiologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina
| | - Qingze Zeng
- Department of Radiologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina
| | - Yao Zhang
- Department of Radiologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina
| | - Ron Kikinis
- Brigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Yogesh Rathi
- Brigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Nikos Makris
- Brigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA,Center for Morphometric AnalysisMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Min Lou
- Department of Neurologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina
| | - Ofer Pasternak
- Brigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Minming Zhang
- Department of Radiologythe Second Affiliated Hospital of Zhejiang University School of MedicineChina
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Lower White Matter Volume and Worse Executive Functioning Reflected in Higher Levels of Plasma GFAP among Older Adults with and Without Cognitive Impairment. J Int Neuropsychol Soc 2022; 28:588-599. [PMID: 34158138 PMCID: PMC8692495 DOI: 10.1017/s1355617721000813] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE There are minimal data directly comparing plasma neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) in aging and neurodegenerative disease research. We evaluated associations of plasma NfL and plasma GFAP with brain volume and cognition in two independent cohorts of older adults diagnosed as clinically normal (CN), mild cognitive impairment (MCI), or Alzheimer's dementia. METHODS We studied 121 total participants (Cohort 1: n = 50, age 71.6 ± 6.9 years, 78% CN, 22% MCI; Cohort 2: n = 71, age 72.2 ± 9.2 years, 45% CN, 25% MCI, 30% dementia). Gray and white matter volumes were obtained for total brain and broad subregions of interest (ROIs). Neuropsychological testing evaluated memory, executive functioning, language, and visuospatial abilities. Plasma samples were analyzed in duplicate for NfL and GFAP using single molecule array assays (Quanterix Simoa). Linear regression models with structural MRI and cognitive outcomes included plasma NfL and GFAP simultaneously along with relevant covariates. RESULTS Higher plasma GFAP was associated with lower white matter volume in both cohorts for temporal (Cohort 1: β = -0.33, p = .002; Cohort 2: β = -0.36, p = .03) and parietal ROIs (Cohort 1: β = -0.31, p = .01; Cohort 2: β = -0.35, p = .04). No consistent findings emerged for gray matter volumes. Higher plasma GFAP was associated with lower executive function scores (Cohort 1: β = -0.38, p = .01; Cohort 2: β = -0.36, p = .007). Plasma NfL was not associated with gray or white matter volumes, or cognition after adjusting for plasma GFAP. CONCLUSIONS Plasma GFAP may be more sensitive to white matter and cognitive changes than plasma NfL. Biomarkers reflecting astroglial pathophysiology may capture complex dynamics of aging and neurodegenerative disease.
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Shir D, Graff-Radford J, Hofrenning EI, Lesnick TG, Przybelski SA, Lowe VJ, Knopman DS, Petersen RC, Jack CR, Vemuri P, Algeciras-Schimnich A, Campbell MR, Stricker NH, Mielke MM. Association of plasma glial fibrillary acidic protein (GFAP) with neuroimaging of Alzheimer's disease and vascular pathology. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12291. [PMID: 35252538 PMCID: PMC8883441 DOI: 10.1002/dad2.12291] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 12/18/2021] [Accepted: 01/16/2022] [Indexed: 11/28/2022]
Abstract
Introduction: Plasma glial fibrillary acidic protein (GFAP) may be associated with amyloid burden, neurodegeneration, and stroke but its specificity for Alzheimer's disease (AD) in the general population is unclear. We examined associations of plasma GFAP with amyloid and tau positron emission tomography (PET), cortical thickness, white matter hyperintensities (WMH), and cerebral microbleeds (CMBs). Methods: The study included 200 individuals from the Mayo Clinic Study of Aging who underwent amyloid and tau PET and magnetic resonance imaging and had plasma GFAP concurrently assayed; multiple linear regression and hurdle model analyses were used to investigate associations controlling for age and sex. Results: GFAP was associated with amyloid and tau PET in multivariable models. After adjusting for amyloid, the association with tau PET was no longer significant. GFAP was associated with cortical thickness, WMH, and lobar CMBs only among those who were amyloid‐positive. Discussion: This cross‐sectional analysis demonstrates the utility of GFAP as a plasma biomarker for AD‐related pathologies.
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Affiliation(s)
- Dror Shir
- Department of Neurology Mayo Clinic Rochester Minnesota USA
| | | | | | - Timothy G Lesnick
- Department of Quantitative Health Sciences Mayo Clinic Rochester Minnesota USA
| | - Scott A Przybelski
- Department of Quantitative Health Sciences Mayo Clinic Rochester Minnesota USA
| | - Val J Lowe
- Department of Radiology Mayo Clinic Rochester Minnesota USA
| | | | - Ronald C Petersen
- Department of Neurology Mayo Clinic Rochester Minnesota USA.,Department of Quantitative Health Sciences Mayo Clinic Rochester Minnesota USA
| | | | | | | | - Michelle R Campbell
- Department of Laboratory Medicine and Pathology Mayo Clinic Rochester Minnesota USA
| | - Nikki H Stricker
- Department of Psychiatry and Psychology Mayo Clinic Rochester Minnesota USA
| | - Michelle M Mielke
- Department of Neurology Mayo Clinic Rochester Minnesota USA.,Department of Quantitative Health Sciences Mayo Clinic Rochester Minnesota USA
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Premi E, Costa T, Gazzina S, Benussi A, Cauda F, Gasparotti R, Archetti S, Alberici A, van Swieten JC, Sanchez-Valle R, Moreno F, Santana I, Laforce R, Ducharme S, Graff C, Galimberti D, Masellis M, Tartaglia C, Rowe JB, Finger E, Tagliavini F, de Mendonça A, Vandenberghe R, Gerhard A, Butler CR, Danek A, Synofzik M, Levin J, Otto M, Ghidoni R, Frisoni G, Sorbi S, Peakman G, Todd E, Bocchetta M, Rohrer JD, Borroni B. An Automated Toolbox to Predict Single Subject Atrophy in Presymptomatic Granulin Mutation Carriers. J Alzheimers Dis 2022; 86:205-218. [DOI: 10.3233/jad-215447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background: Magnetic resonance imaging (MRI) measures may be used as outcome markers in frontotemporal dementia (FTD). Objectives: To predict MRI cortical thickness (CT) at follow-up at the single subject level, using brain MRI acquired at baseline in preclinical FTD. Methods: 84 presymptomatic subjects carrying Granulin mutations underwent MRI scans at baseline and at follow-up (31.2±16.5 months). Multivariate nonlinear mixed-effects model was used for estimating individualized CT at follow-up based on baseline MRI data. The automated user-friendly preGRN-MRI script was coded. Results: Prediction accuracy was high for each considered brain region (i.e., prefrontal region, real CT at follow-up versus predicted CT at follow-up, mean error ≤1.87%). The sample size required to detect a reduction in decline in a 1-year clinical trial was equal to 52 subjects (power = 0.80, alpha = 0.05). Conclusion: The preGRN-MRI tool, using baseline MRI measures, was able to predict the expected MRI atrophy at follow-up in presymptomatic subjects carrying GRN mutations with good performances. This tool could be useful in clinical trials, where deviation of CT from the predicted model may be considered an effect of the intervention itself.
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Affiliation(s)
- Enrico Premi
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Stroke Unit, Azienda Socio Sanitaria Territoriale Spedali Civili, Spedali Civili Hospital, Brescia, Italy
| | - Tommaso Costa
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy
- GCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
- Neuroscience Institute of Turin, University of Turin, Turin, Italy
| | - Stefano Gazzina
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Alberto Benussi
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Franco Cauda
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy
- GCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
- Neuroscience Institute of Turin, University of Turin, Turin, Italy
| | | | - Silvana Archetti
- Biotechnology Laboratory, Department of Diagnostic, Spedali Civili Hospital, Brescia, Italy
| | - Antonella Alberici
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | | | - Raquel Sanchez-Valle
- Neurology Department, Hospital Clinic, Institut d’Investigacions Biomèdiques, Barcelona, Spain
| | - Fermin Moreno
- Department of Neurology, Hospital Universitario Donostia, San Sebastian, Gipuzkoa, Spain
- Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Gipuzkoa, Spain
| | - Isabel Santana
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Centre of Neurosciences and Cell biology, Universidade de Coimbra, Coimbra, Portugal
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, QC, Canada
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Quebec, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Solna, Sweden
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Daniela Galimberti
- Department of Pathophysiology and Transplantation, “Dino Ferrari” Center, University of Milan, Milan, Italy
- Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - James B. Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Fabrizio Tagliavini
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Istituto Neurologico Carlo Besta, Milan, Italy
| | - Alexandre de Mendonça
- Laboratory of Neurosciences, Institute of Molecular Medicine, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Neurology Service, University Hospitals Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
- Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg- Essen, Germany
| | - Chris R. Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Adrian Danek
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, Munich, Germany
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Markus Otto
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Roberta Ghidoni
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Giovanni Frisoni
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) “Don Gnocchi”, Florence, Italy
| | - Georgia Peakman
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK
| | - Emily Todd
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK
| | - Martina Bocchetta
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK
| | - Johnathan D. Rohrer
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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11
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Giudici KV, Guyonnet S, Morley JE, Nguyen AD, Aggarwal G, Parini A, Li Y, Bateman RJ, Vellas B, de Souto Barreto P. Interactions Between Weight Loss and Plasma Neurodegenerative Markers for Determining Cognitive Decline Among Community-Dwelling Older Adults. J Gerontol A Biol Sci Med Sci 2022; 77:1159-1168. [PMID: 35034116 PMCID: PMC9159663 DOI: 10.1093/gerona/glac015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Indexed: 01/18/2023] Open
Abstract
This study aimed to investigate the interaction between weight loss (WL) and plasma amyloid-β 42/40 (Aβ 42/40), neurofilament light chain (NfL), progranulin, and their association with cognitive decline over time among older adults. This 5-year observational approach included 470 participants from the Multidomain Alzheimer Preventive Trial, mean age 76.8 years (SD = 4.5), 59.4% women. WL was defined as ≥5% decrease over the first year. Biomarkers were measured at 12 months. Cognitive function was assessed yearly from 12 months onward by Mini-Mental State Examination (MMSE); Clinical Dementia Rating sum of boxes (CDR-SB); a composite score based on Category Naming Test; Digit Symbol Substitution Test; 10 MMSE orientation items (MMSEO) and free and total recall of the Free and Cued Selective Reminding test; and these tests individually. Twenty-seven participants (5.7%) presented WL. In adjusted analyses, combined WL + lower Aβ 42/40 (≤0.103, lowest quartile) was related with more pronounced 4-year cognitive decline according to CDR-SB (p < .0001) and MMSEO (p = .021), compared with non-WL + higher Aβ 42/40. WL + higher NfL (>94.55 pg/mL, highest quartile) or progranulin (>38.4 ng/mL, 3 higher quartiles) were related with higher cognitive decline according to CDR-SB, MMSE, MMSEO, and composite score (all p < .03), compared with non-WL + lower NfL or higher progranulin. Regrouping progranulin quartiles (Q1-Q3 vs Q4) revealed higher cognitive decline among the WL + lower progranulin group compared with non-WL + lower progranulin. In conclusion, 1-year WL was associated with subsequent higher 4-year cognitive decline among older adults presenting low Aβ 42/40 or high NfL. Future studies combining plasma biomarker assessments and body weight surveillance may be useful for identifying people at risk of cognitive impairment. Clinical trial number: NCT00672685.
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Affiliation(s)
- Kelly Virecoulon Giudici
- Address correspondence to: Kelly Virecoulon Giudici, PhD, Gérontopôle of Toulouse, Institute of Aging, Toulouse University Hospital, Université Toulouse III Paul Sabatier, 37 Allée Jules Guesde, 31000 Toulouse, France. E-mail:
| | - Sophie Guyonnet
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France,CERPOP UMR1295, University of Toulouse III, INSERM, UPS, Toulouse, France
| | - John E Morley
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Andrew D Nguyen
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Geetika Aggarwal
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Angelo Parini
- Institute of Metabolic and Cardiovascular Diseases (I2MC), INSERM UMR 1048, University of Toulouse III Paul Sabatier, Toulouse, France
| | - Yan Li
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA,Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bruno Vellas
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France,CERPOP UMR1295, University of Toulouse III, INSERM, UPS, Toulouse, France
| | - Philipe de Souto Barreto
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France,CERPOP UMR1295, University of Toulouse III, INSERM, UPS, Toulouse, France
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12
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Bruffaerts R, Gors D, Bárcenas Gallardo A, Vandenbulcke M, Van Damme P, Suetens P, van Swieten JC, Borroni B, Sanchez-Valle R, Moreno F, Laforce R, Graff C, Synofzik M, Galimberti D, Rowe JB, Masellis M, Tartaglia MC, Finger E, de Mendonça A, Tagliavini F, Butler CR, Santana I, Gerhard A, Ducharme S, Levin J, Danek A, Otto M, Rohrer JD, Dupont P, Claes P, Vandenberghe R. Hierarchical spectral clustering reveals brain size and shape changes in asymptomatic carriers of C9orf72. Brain Commun 2022; 4:fcac182. [PMID: 35898720 PMCID: PMC9311825 DOI: 10.1093/braincomms/fcac182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 03/17/2022] [Accepted: 07/15/2022] [Indexed: 11/13/2022] Open
Abstract
Traditional methods for detecting asymptomatic brain changes in neurodegenerative diseases such as Alzheimer's disease or frontotemporal degeneration typically evaluate changes in volume at a predefined level of granularity, e.g. voxel-wise or in a priori defined cortical volumes of interest. Here, we apply a method based on hierarchical spectral clustering, a graph-based partitioning technique. Our method uses multiple levels of segmentation for detecting changes in a data-driven, unbiased, comprehensive manner within a standard statistical framework. Furthermore, spectral clustering allows for detection of changes in shape along with changes in size. We performed tensor-based morphometry to detect changes in the Genetic Frontotemporal dementia Initiative asymptomatic and symptomatic frontotemporal degeneration mutation carriers using hierarchical spectral clustering and compared the outcome to that obtained with a more conventional voxel-wise tensor- and voxel-based morphometric analysis. In the symptomatic groups, the hierarchical spectral clustering-based method yielded results that were largely in line with those obtained with the voxel-wise approach. In asymptomatic C9orf72 expansion carriers, spectral clustering detected changes in size in medial temporal cortex that voxel-wise methods could only detect in the symptomatic phase. Furthermore, in the asymptomatic and the symptomatic phases, the spectral clustering approach detected changes in shape in the premotor cortex in C9orf72. In summary, the present study shows the merit of hierarchical spectral clustering for data-driven segmentation and detection of structural changes in the symptomatic and asymptomatic stages of monogenic frontotemporal degeneration.
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Affiliation(s)
- Rose Bruffaerts
- Correspondence to: Rose Bruffaerts, MD, PhD Computational Neurology, Experimental Neurobiology Unit Department of Biomedical Sciences, University of Antwerp, Campus Drie Eiken Universiteitsplein 1, 2610 Antwerp, Belgium E-mail:
| | | | | | | | - Philip Van Damme
- Department of Neurosciences, KU Leuven—University of Leuven, Experimental Neurology, and Leuven Brain Institute (LBI), Leuven 3000, Belgium
- Laboratory of Neurobiology, VIB, Center for Brain & Disease Research, Leuven 3000, Belgium
| | - Paul Suetens
- Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven 3000, Belgium
- Medical Imaging Research Center, KU Leuven, Leuven 3000, Belgium
| | - John C van Swieten
- Department of Neurology, Erasmus Medical Centre, Rotterdam 3015, Netherlands
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia 25121, Italy
| | - Raquel Sanchez-Valle
- Alzheimer’s disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clinic, Institut d’Investigacions Biomediques August Pi I Sunyer, University of Barcelona, Barcelona 08036, Spain
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia University Hospital, San Sebastian, Gipuzkoa 20014, Spain
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, QC G1Z 1J4, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Solna 17176, Sweden
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen 72076, Germany
| | - Daniela Galimberti
- Fondazione IRCCS Ospedale Policlinico, Neurodegenerative Diseases Unit, Milan 20122, Italy
- Dipartimento di Scienze Biomediche, Chirurgiche e Odontoiatriche, University of Milan, Milan 20122, Italy
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto M4N 3M5, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto M4N 3M5, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario N6A 3K7, Canada
| | | | - Fabrizio Tagliavini
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Neurodegenerative Diseases Unit, Milano 20133, Italy
| | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford OX3 9DU, UK
| | - Isabel Santana
- University Hospital of Coimbra (HUC), Neurology Service, Faculty of Medicine, University of Coimbra, Coimbra 3004, Portugal
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester M20 3LJ, UK
- Department of Geriatric Medicine, Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, Essen 45147, Germany
- Department of Nuclear Medicine, Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, Essen 45147, Germany
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Quebec 3801, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Department of Neurology & Neurosurgery, McGill University, Montreal 3801, Canada
| | - Johannes Levin
- Neurologische Klinik, Ludwig-Maximilians-Universität München, Munich 81377, Germany
| | - Adrian Danek
- Neurologische Klinik, Ludwig-Maximilians-Universität München, Munich 81377, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm 89081, Germany
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of Neurosciences, Experimental Neurology, and Leuven Brain Institute (LBI), KU Leuven, Leuven 3000, Belgium
- Alzheimer Research Centre KU Leuven, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium
| | - Peter Claes
- Correspondence may also be addressed to: Peter Claes, PhD Department of Electrical Engineering, ESAT/PSI, KU Leuven Herestraat 49, box 7003, 3000 Leuven, Belgium E-mail:
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, Experimental Neurology, and Leuven Brain Institute (LBI), KU Leuven, Leuven 3000, Belgium
- Alzheimer Research Centre KU Leuven, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium
- Neurology Department, University Hospitals Leuven, Leuven 3000, Belgium
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13
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Dadar M, Manera AL, Ducharme S, Collins DL. White matter hyperintensities are associated with grey matter atrophy and cognitive decline in Alzheimer's disease and frontotemporal dementia. Neurobiol Aging 2021; 111:54-63. [PMID: 34968832 DOI: 10.1016/j.neurobiolaging.2021.11.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/21/2021] [Accepted: 11/26/2021] [Indexed: 01/18/2023]
Abstract
White matter hyperintensities (WMHs) are commonly assumed to represent non-specific cerebrovascular disease comorbid to neurodegenerative processes, rather than playing a synergistic role. We compared the impact of WMHs on grey matter (GM) atrophy and cognition in normal aging (n = 571), mild cognitive impairment (MCI, n = 551), Alzheimer's dementia (AD, n = 212), fronto-temporal dementia (FTD, n = 125), and Parkinson's disease (PD, n = 271). Longitudinal data were obtained from ADNI, FTLDNI, and PPMI datasets. Mixed-effects models were used to compare WMHs and GM atrophy between patients and controls and assess the impact of WMHs on GM atrophy and cognition. MCI, AD, and FTD patients had significantly higher WMH loads than controls. WMHs were related to GM atrophy in insular and parieto-occipital regions in MCI/AD, and frontal regions and basal ganglia in FTD. In addition, WMHs contributed to more severe cognitive deficits in AD and FTD compared to controls, whereas their impact in MCI and PD was not significantly different from controls. These results suggest potential synergistic effects between WMHs and proteinopathies in the neurodegenerative process in MCI, AD and FTD.
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Affiliation(s)
- Mahsa Dadar
- NeuroImaging and Surgical Tools Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
| | - Ana Laura Manera
- NeuroImaging and Surgical Tools Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Simon Ducharme
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, Douglas Mental Health University Institute and Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - D Louis Collins
- NeuroImaging and Surgical Tools Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
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14
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Saracino D, Dorgham K, Camuzat A, Rinaldi D, Rametti-Lacroux A, Houot M, Clot F, Martin-Hardy P, Jornea L, Azuar C, Migliaccio R, Pasquier F, Couratier P, Auriacombe S, Sauvée M, Boutoleau-Bretonnière C, Pariente J, Didic M, Hannequin D, Wallon D, Colliot O, Dubois B, Brice A, Levy R, Forlani S, Le Ber I. Plasma NfL levels and longitudinal change rates in C9orf72 and GRN-associated diseases: from tailored references to clinical applications. J Neurol Neurosurg Psychiatry 2021; 92:1278-1288. [PMID: 34349004 PMCID: PMC8606463 DOI: 10.1136/jnnp-2021-326914] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/13/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVE Neurofilament light chain (NfL) is a promising biomarker in genetic frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). We evaluated plasma neurofilament light chain (pNfL) levels in controls, and their longitudinal trajectories in C9orf72 and GRN cohorts from presymptomatic to clinical stages. METHODS We analysed pNfL using Single Molecule Array (SiMoA) in 668 samples (352 baseline and 316 follow-up) of C9orf72 and GRN patients, presymptomatic carriers (PS) and controls aged between 21 and 83. They were longitudinally evaluated over a period of >2 years, during which four PS became prodromal/symptomatic. Associations between pNfL and clinical-genetic variables, and longitudinal NfL changes, were investigated using generalised and linear mixed-effects models. Optimal cut-offs were determined using the Youden Index. RESULTS pNfL levels increased with age in controls, from ~5 to~18 pg/mL (p<0.0001), progressing over time (mean annualised rate of change (ARC): +3.9%/year, p<0.0001). Patients displayed higher levels and greater longitudinal progression (ARC: +26.7%, p<0.0001), with gene-specific trajectories. GRN patients had higher levels than C9orf72 (86.21 vs 39.49 pg/mL, p=0.014), and greater progression rates (ARC:+29.3% vs +24.7%; p=0.016). In C9orf72 patients, levels were associated with the phenotype (ALS: 71.76 pg/mL, FTD: 37.16, psychiatric: 15.3; p=0.003) and remarkably lower in slowly progressive patients (24.11, ARC: +2.5%; p=0.05). Mean ARC was +3.2% in PS and +7.3% in prodromal carriers. We proposed gene-specific cut-offs differentiating patients from controls by decades. CONCLUSIONS This study highlights the importance of gene-specific and age-specific references for clinical and therapeutic trials in genetic FTD/ALS. It supports the usefulness of repeating pNfL measurements and considering ARC as a prognostic marker of disease progression. TRIAL REGISTRATION NUMBERS NCT02590276 and NCT04014673.
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Affiliation(s)
- Dario Saracino
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Aramis Project Team, Inria Paris Research Centre, Paris, France
| | - Karim Dorgham
- Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses-Paris (CIMI-Paris), Paris, France
| | - Agnès Camuzat
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,EPHE, PSL Research University, Paris, France
| | - Daisy Rinaldi
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Armelle Rametti-Lacroux
- Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Marion Houot
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, CIC Neurosciences, Département de Neurologie, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris, France
| | - Fabienne Clot
- UF de Neurogénétique Moléculaire et Cellulaire, Département de Génétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France
| | - Philippe Martin-Hardy
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Ludmila Jornea
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Carole Azuar
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Raffaella Migliaccio
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Florence Pasquier
- Univ Lille, Inserm U1171, CHU Lille, DistAlz, LiCEND, CNR-MAJ, Lille, France
| | | | - Sophie Auriacombe
- CMRR Nouvelle Aquitaine, Institut des Maladies Neurodégénératives Clinique (IMNc), CHU de Bordeaux Hôpital Pellegrin, Bordeaux, France
| | - Mathilde Sauvée
- CMRR de l'Arc Alpin, POLE PRéNeLE, CHU Grenoble Alpes, Grenoble, France
| | | | - Jérémie Pariente
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Centre (ToNIC), Inserm, UPS, University of Toulouse, Toulouse, France
| | - Mira Didic
- APHM, Timone, Service de Neurologie et Neuropsychologie, Hôpital Timone Adultes, Marseille, France.,Institut de Neurosciences des Systèmes (INS), Aix-Marseille University, Inserm, Marseille, France
| | - Didier Hannequin
- Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Rouen, France
| | - David Wallon
- Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Rouen, France
| | | | | | - Olivier Colliot
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Aramis Project Team, Inria Paris Research Centre, Paris, France
| | - Bruno Dubois
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Alexis Brice
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Richard Levy
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Sylvie Forlani
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France .,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
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15
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Li JY, Cai ZY, Sun XH, Shen DC, Yang XZ, Liu MS, Cui LY. Blood-brain barrier dysfunction and myelin basic protein in survival of amyotrophic lateral sclerosis with or without frontotemporal dementia. Neurol Sci 2021; 43:3201-3210. [PMID: 34826032 DOI: 10.1007/s10072-021-05731-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 11/08/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE We aim to investigate blood-brain barrier (BBB) dysfunction and myelin basic protein (MBP) in amyotrophic lateral sclerosis (ALS) with or without frontotemporal dementia (FTD) and further determine the effect of these factors on the survival of ALS. METHODS This was a retrospective study of 113 ALS patients, 12 ALS-FTD patients, and 40 disease controls hospitalized between September 2013 and October 2020. CSF parameters including total protein (TP), albumin (Alb), immunoglobulin-G (IgG), and MBP were collected and compared between groups. The CSF-TP, CSF-Alb, CSF-IgG, and CSF/serum quotients of Alb and IgG (QAlb, QIgG) were used to reflect the BBB status. Patients were followed up until December 2020. Cox regression and Kaplan-Meier method were used for survival analysis. RESULTS The CSF-TP, CSF-Alb, and CSF-IgG concentrations were significantly higher in patients than controls (p < 0.01). Increased CSF-TP and CSF-IgG was found in 45 (39.8%) and 27 (23.9%) ALS patients, while in 7 (58.3%) and 5 (41.7%) ALS-FTD patients. The level of CSF-Alb, CSF-IgG, and CSF-MBP were significantly higher in patients with ALS-FTD than ALS. MBP showed a moderate accuracy in the distinction between ALS-FTD and ALS (AUC = 0.715 ± 0.101). No difference in MBP was found between patients and controls. Kaplan-Meier analysis indicated that a higher CSF-TP, CSF-IgG, QIgG, or QAlb was significantly associated with shorter survival. Cox regression model showed that CSF-TP, CSF-IgG, and QIgG were independent predictors of survival. CONCLUSION Our findings suggested that BBB dysfunction was more prominent in ALS-FTD than ALS and associated with a worse prognosis. Further studies are needed to determine the role of CSF-MBP as a biomarker in ALS.
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Affiliation(s)
- Jin-Yue Li
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Zheng-Yi Cai
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xiao-Han Sun
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Dong-Chao Shen
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xun-Zhe Yang
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Ming-Sheng Liu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Li-Ying Cui
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
- Neuroscience Center, Chinese Academy of Medical Sciences, Beijing, 100730, China.
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16
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Sirkis DW, Bonham LW, Yokoyama JS. The Role of Microglia in Inherited White-Matter Disorders and Connections to Frontotemporal Dementia. Appl Clin Genet 2021; 14:195-207. [PMID: 33833548 PMCID: PMC8020808 DOI: 10.2147/tacg.s245029] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 03/17/2021] [Indexed: 12/13/2022] Open
Abstract
Microglia play a critical but poorly understood role in promoting white-matter homeostasis. In this review, we leverage advances in human genetics and mouse models of leukodystrophies to delineate our current knowledge and identify outstanding questions regarding the impact of microglia on central nervous system white matter. We first focus on the role of pathogenic mutations in genes, such as TREM2, TYROBP, and CSF1R, that cause leukodystrophies in which the primary deficit is thought to originate in microglia. We next discuss recent advances in disorders such as adrenoleukodystrophy and Krabbe disease, in which microglia play an increasingly recognized role. We conclude by reviewing the roles of GRN and related genes, such as TMEM106B, PSAP, and SORT1, that affect microglial biology and associate with several types of disease, including multiple leukodystrophies as well as forms of frontotemporal dementia (FTD) presenting with white-matter abnormalities. Taken together, mouse and human data support the notion that loss of microglia-facilitated white-matter homeostasis plays an important role in the development of leukodystrophies and suggest novel mechanisms contributing to FTD.
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Affiliation(s)
- Daniel W Sirkis
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Luke W Bonham
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.,Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Jennifer S Yokoyama
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.,Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, 94158, USA
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17
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The Role of White Matter Dysfunction and Leukoencephalopathy/Leukodystrophy Genes in the Aetiology of Frontotemporal Dementias: Implications for Novel Approaches to Therapeutics. Int J Mol Sci 2021; 22:ijms22052541. [PMID: 33802612 PMCID: PMC7961524 DOI: 10.3390/ijms22052541] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/22/2021] [Accepted: 03/01/2021] [Indexed: 01/01/2023] Open
Abstract
Frontotemporal dementia (FTD) is a common cause of presenile dementia and is characterized by behavioural and/or language changes and progressive cognitive deficits. Genetics is an important component in the aetiology of FTD, with positive family history of dementia reported for 40% of cases. This review synthesizes current knowledge of the known major FTD genes, including C9orf72 (chromosome 9 open reading frame 72), MAPT (microtubule-associated protein tau) and GRN (granulin), and their impact on neuronal and glial pathology. Further, evidence for white matter dysfunction in the aetiology of FTD and the clinical, neuroimaging and genetic overlap between FTD and leukodystrophy/leukoencephalopathy are discussed. The review highlights the role of common variants and mutations in genes such as CSF1R (colony-stimulating factor 1 receptor), CYP27A1 (cytochrome P450 family 27 subfamily A member 1), TREM2 (triggering receptor expressed on myeloid cells 2) and TMEM106B (transmembrane protein 106B) that play an integral role in microglia and oligodendrocyte function. Finally, pharmacological and non-pharmacological approaches for enhancing remyelination are discussed in terms of future treatments of FTD.
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18
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Huynh K, Piguet O, Kwok J, Dobson-Stone C, Halliday GM, Hodges JR, Landin-Romero R. Clinical and Biological Correlates of White Matter Hyperintensities in Patients With Behavioral-Variant Frontotemporal Dementia and Alzheimer Disease. Neurology 2021; 96:e1743-e1754. [PMID: 33597290 DOI: 10.1212/wnl.0000000000011638] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 12/18/2020] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE To test the hypothesis that white matter hyperintensities (WMH) in behavioral-variant frontotemporal dementia (bvFTD) and Alzheimer disease (AD) are associated with disease variables such as disease severity, cortical atrophy, and cognition, we conducted a cross-sectional brain MRI study with volumetric and voxel-wise analyses. METHODS A total of 129 patients (64 bvFTD, 65 AD) and 66 controls underwent high-resolution brain MRI and clinical and neuropsychological examination. Genetic screening was conducted in 124 cases (54 bvFTD, 44 AD, 26 controls) and postmortem pathology was available in 18 cases (13 bvFTD, 5 AD). WMH were extracted using an automated segmentation algorithm and analyses of total volumes and spatial distribution were conducted. Group differences in total WMH volume and associations with vascular risk and disease severity were examined. Syndrome-specific voxel-wise associations between WMH, cortical atrophy, and performance across different cognitive domains were assessed. RESULTS Total WMH volumes were larger in patients with bvFTD than patients with AD and controls. In bvFTD, WMH volumes were associated with disease severity but not vascular risk. Patients with bvFTD and patients with AD showed distinct spatial patterns of WMH that mirrored characteristic patterns of cortical atrophy. Regional WMH load correlated with worse cognitive performance in discrete cognitive domains. WMH-related cognitive impairments were shared between syndromes, with additional associations found in bvFTD. CONCLUSION Increased WMH are common in patients with bvFTD and patients with AD. Our findings suggest that WMH are partly independent of vascular pathology and associated with the neurodegenerative process. WMH occur in processes independent of and related to cortical atrophy. Furthermore, increased WMH in different regions contributes to cognitive deficits.
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Affiliation(s)
- Katharine Huynh
- From the School of Psychology (K.H., O.P., R.L.-R.), Brain and Mind Centre (K.H., O.P., J.K., C.D.-S., G.M.H., J.R.H., R.L.-R.), Central Clinical School (J.K., C.D.-S., G.M.H., J.R.H.), The University of Sydney; and the School of Medical Sciences (J.K., C.D.-S., G.M.H., J.R.H.), University of New South Wales, Sydney, Australia
| | - Olivier Piguet
- From the School of Psychology (K.H., O.P., R.L.-R.), Brain and Mind Centre (K.H., O.P., J.K., C.D.-S., G.M.H., J.R.H., R.L.-R.), Central Clinical School (J.K., C.D.-S., G.M.H., J.R.H.), The University of Sydney; and the School of Medical Sciences (J.K., C.D.-S., G.M.H., J.R.H.), University of New South Wales, Sydney, Australia
| | - John Kwok
- From the School of Psychology (K.H., O.P., R.L.-R.), Brain and Mind Centre (K.H., O.P., J.K., C.D.-S., G.M.H., J.R.H., R.L.-R.), Central Clinical School (J.K., C.D.-S., G.M.H., J.R.H.), The University of Sydney; and the School of Medical Sciences (J.K., C.D.-S., G.M.H., J.R.H.), University of New South Wales, Sydney, Australia
| | - Carol Dobson-Stone
- From the School of Psychology (K.H., O.P., R.L.-R.), Brain and Mind Centre (K.H., O.P., J.K., C.D.-S., G.M.H., J.R.H., R.L.-R.), Central Clinical School (J.K., C.D.-S., G.M.H., J.R.H.), The University of Sydney; and the School of Medical Sciences (J.K., C.D.-S., G.M.H., J.R.H.), University of New South Wales, Sydney, Australia
| | - Glenda M Halliday
- From the School of Psychology (K.H., O.P., R.L.-R.), Brain and Mind Centre (K.H., O.P., J.K., C.D.-S., G.M.H., J.R.H., R.L.-R.), Central Clinical School (J.K., C.D.-S., G.M.H., J.R.H.), The University of Sydney; and the School of Medical Sciences (J.K., C.D.-S., G.M.H., J.R.H.), University of New South Wales, Sydney, Australia
| | - John R Hodges
- From the School of Psychology (K.H., O.P., R.L.-R.), Brain and Mind Centre (K.H., O.P., J.K., C.D.-S., G.M.H., J.R.H., R.L.-R.), Central Clinical School (J.K., C.D.-S., G.M.H., J.R.H.), The University of Sydney; and the School of Medical Sciences (J.K., C.D.-S., G.M.H., J.R.H.), University of New South Wales, Sydney, Australia
| | - Ramón Landin-Romero
- From the School of Psychology (K.H., O.P., R.L.-R.), Brain and Mind Centre (K.H., O.P., J.K., C.D.-S., G.M.H., J.R.H., R.L.-R.), Central Clinical School (J.K., C.D.-S., G.M.H., J.R.H.), The University of Sydney; and the School of Medical Sciences (J.K., C.D.-S., G.M.H., J.R.H.), University of New South Wales, Sydney, Australia.
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19
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Rohrer JD, Boxer AL. The Frontotemporal Dementia Prevention Initiative: Linking Together Genetic Frontotemporal Dementia Cohort Studies. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1281:113-121. [PMID: 33433872 DOI: 10.1007/978-3-030-51140-1_8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Around one-third of frontotemporal dementia (FTD) is autosomal dominant with the major genetic causes being mutations in MAPT, GRN and C9orf72. Studying familial forms of FTD can provide a window into the earliest stages of the illness, many years before symptoms start. Large cohort studies have been set up in recent years to better understand this presymptomatic phase, including the Genetic FTD Initiative (GENFI) and the Advancing Research and Treatment for Frontotemporal Lobar Degeneration and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (ARTFL/LEFFTDS) studies. Whilst these studies have focused on the investigation of a variety of aspects of genetic FTD, from understanding the molecular pathogenesis to developing biomarkers, they also have a common goal: finding a way to prevent FTD. Researchers from these cohort studies have therefore come together to form the FTD Prevention Initiative (FPI), which has the overarching aim of promoting clinical trials of new therapies to prevent FTD through creating an international database of participants eligible for trials and uniform standards for conducting such trials. This chapter outlines the work of the FPI so far and its future goals over the next few years.
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Affiliation(s)
- Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
| | - Adam L Boxer
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
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20
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Huang M, Modeste E, Dammer E, Merino P, Taylor G, Duong DM, Deng Q, Holler CJ, Gearing M, Dickson D, Seyfried NT, Kukar T. Network analysis of the progranulin-deficient mouse brain proteome reveals pathogenic mechanisms shared in human frontotemporal dementia caused by GRN mutations. Acta Neuropathol Commun 2020; 8:163. [PMID: 33028409 PMCID: PMC7541308 DOI: 10.1186/s40478-020-01037-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 09/13/2020] [Indexed: 02/08/2023] Open
Abstract
Heterozygous, loss-of-function mutations in the granulin gene (GRN) encoding progranulin (PGRN) are a common cause of frontotemporal dementia (FTD). Homozygous GRN mutations cause neuronal ceroid lipofuscinosis-11 (CLN11), a lysosome storage disease. PGRN is a secreted glycoprotein that can be proteolytically cleaved into seven bioactive 6 kDa granulins. However, it is unclear how deficiency of PGRN and granulins causes neurodegeneration. To gain insight into the mechanisms of FTD pathogenesis, we utilized Tandem Mass Tag isobaric labeling mass spectrometry to perform an unbiased quantitative proteomic analysis of whole-brain tissue from wild type (Grn+/+) and Grn knockout (Grn-/-) mice at 3- and 19-months of age. At 3-months lysosomal proteins (i.e. Gns, Scarb2, Hexb) are selectively increased indicating lysosomal dysfunction is an early consequence of PGRN deficiency. Additionally, proteins involved in lipid metabolism (Acly, Apoc3, Asah1, Gpld1, Ppt1, and Naaa) are decreased; suggesting lysosomal degradation of lipids may be impaired in the Grn-/- brain. Systems biology using weighted correlation network analysis (WGCNA) of the Grn-/- brain proteome identified 26 modules of highly co-expressed proteins. Three modules strongly correlated to Grn deficiency and were enriched with lysosomal proteins (Gpnmb, CtsD, CtsZ, and Tpp1) and inflammatory proteins (Lgals3, GFAP, CD44, S100a, and C1qa). We find that lysosomal dysregulation is exacerbated with age in the Grn-/- mouse brain leading to neuroinflammation, synaptic loss, and decreased markers of oligodendrocytes, myelin, and neurons. In particular, GPNMB and LGALS3 (galectin-3) were upregulated by microglia and elevated in FTD-GRN brain samples, indicating common pathogenic pathways are dysregulated in human FTD cases and Grn-/- mice. GPNMB levels were significantly increased in the cerebrospinal fluid of FTD-GRN patients, but not in MAPT or C9orf72 carriers, suggesting GPNMB could be a biomarker specific to FTD-GRN to monitor disease onset, progression, and drug response. Our findings support the idea that insufficiency of PGRN and granulins in humans causes neurodegeneration through lysosomal dysfunction, defects in autophagy, and neuroinflammation, which could be targeted to develop effective therapies.
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21
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Benussi A, Ashton NJ, Karikari TK, Gazzina S, Premi E, Benussi L, Ghidoni R, Rodriguez JL, Emeršič A, Binetti G, Fostinelli S, Giunta M, Gasparotti R, Zetterberg H, Blennow K, Borroni B. Serum Glial Fibrillary Acidic Protein (GFAP) Is a Marker of Disease Severity in Frontotemporal Lobar Degeneration. J Alzheimers Dis 2020; 77:1129-1141. [DOI: 10.3233/jad-200608] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background: It is still unknown if serum glial fibrillary acidic protein (GFAP) is a useful marker in frontotemporal lobar degeneration (FTLD). Objective: To assess the diagnostic and prognostic value of serum GFAP in a large cohort of patients with FTLD. Methods: In this retrospective study, performed on 406 participants, we measured serum GFAP concentration with an ultrasensitive Single molecule array (Simoa) method in patients with FTLD, Alzheimer’s disease (AD), and in cognitively unimpaired elderly controls. We assessed the role of GFAP as marker of disease severity by analyzing the correlation with clinical variables, neurophysiological data, and cross-sectional brain imaging. Moreover, we evaluated the role of serum GFAP as a prognostic marker of disease survival. Results: We observed significantly higher levels of serum GFAP in patients with FTLD syndromes, except progressive supranuclear palsy, compared with healthy controls, but not compared with AD patients. In FTLD, serum GFAP levels correlated with measures of cognitive dysfunction and disease severity, and were associated with indirect measures of GABAergic deficit. Serum GFAP concentration was not a significant predictor of survival. Conclusion: Serum GFAP is increased in FTLD, correlates with cognition and GABAergic deficits, and thus shows promise as a biomarker of disease severity in FTLD.
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Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Nicholas J. Ashton
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Mölndal, Sweden
- King’s College London, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Thomas K. Karikari
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | | | - Enrico Premi
- Stroke Unit, ASST Spedali Civili, Brescia, Italy
| | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Roberta Ghidoni
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Juan Lantero Rodriguez
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Andreja Emeršič
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurology, University Medical Centre Ljubljana, Slovenia
| | - Giuliano Binetti
- MAC Memory Clinic and Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Silvia Fostinelli
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Marcello Giunta
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurology, University Medical Centre Ljubljana, Slovenia
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurology, University Medical Centre Ljubljana, Slovenia
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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22
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Häkkinen S, Chu SA, Lee SE. Neuroimaging in genetic frontotemporal dementia and amyotrophic lateral sclerosis. Neurobiol Dis 2020; 145:105063. [PMID: 32890771 DOI: 10.1016/j.nbd.2020.105063] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/30/2020] [Accepted: 08/26/2020] [Indexed: 02/06/2023] Open
Abstract
Frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) have a strong clinical, genetic and pathological overlap. This review focuses on the current understanding of structural, functional and molecular neuroimaging signatures of genetic FTD and ALS. We overview quantitative neuroimaging studies on the most common genes associated with FTD (MAPT, GRN), ALS (SOD1), and both (C9orf72), and summarize visual observations of images reported in the rarer genes (CHMP2B, TARDBP, FUS, OPTN, VCP, UBQLN2, SQSTM1, TREM2, CHCHD10, TBK1).
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Affiliation(s)
- Suvi Häkkinen
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Stephanie A Chu
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Suzee E Lee
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
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23
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Woollacott IOC, Toomey CE, Strand C, Courtney R, Benson BC, Rohrer JD, Lashley T. Microglial burden, activation and dystrophy patterns in frontotemporal lobar degeneration. J Neuroinflammation 2020; 17:234. [PMID: 32778130 PMCID: PMC7418403 DOI: 10.1186/s12974-020-01907-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/21/2020] [Indexed: 12/14/2022] Open
Abstract
Background Microglial dysfunction is implicated in frontotemporal lobar degeneration (FTLD). Although studies have reported excessive microglial activation or senescence (dystrophy) in Alzheimer’s disease (AD), few have explored this in FTLD. We examined regional patterns of microglial burden, activation and dystrophy in sporadic and genetic FTLD, sporadic AD and controls. Methods Immunohistochemistry was performed in frontal and temporal grey and white matter from 50 pathologically confirmed FTLD cases (31 sporadic, 19 genetic: 20 FTLD-tau, 26 FTLD-TDP, four FTLD-FUS), five AD cases and five controls, using markers to detect phagocytic (CD68-positive) and antigen-presenting (CR3/43-positive) microglia, and microglia in general (Iba1-positive). Microglial burden and activation (morphology) were assessed quantitatively for each microglial phenotype. Iba1-positive microglia were assessed semi-quantitatively for dystrophy severity and qualitatively for rod-shaped and hypertrophic morphology. Microglia were compared in each region between FTLD, AD and controls, and between different pathological subtypes of FTLD, including its main subtypes (FTLD-tau, FTLD-TDP, FTLD-FUS), and subtypes of FTLD-tau, FTLD-TDP and genetic FTLD. Microglia were also compared between grey and white matter within each lobe for each group. Results There was a higher burden of phagocytic and antigen-presenting microglia in FTLD and AD cases than controls, but activation was often not increased. Burden was generally higher in white matter than grey matter, but activation was greater in grey matter. However, microglia varied regionally according to FTLD subtype and disease mechanism. Dystrophy was more severe in FTLD and AD than controls, and more severe in white than grey matter, but this also varied regionally and was particularly extensive in FTLD due to progranulin (GRN) mutations. Presence of rod-shaped and hypertrophic microglia also varied by FTLD subtype. Conclusions This study demonstrates regionally variable microglial involvement in FTLD and links this to underlying disease mechanisms. This supports investigation of microglial dysfunction in disease models and consideration of anti-senescence therapies in clinical trials.
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Affiliation(s)
- Ione O C Woollacott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Christina E Toomey
- Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, 1 Wakefield Street, London, WC1N 1PJ, UK.,Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Catherine Strand
- Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, 1 Wakefield Street, London, WC1N 1PJ, UK
| | - Robert Courtney
- Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, 1 Wakefield Street, London, WC1N 1PJ, UK
| | - Bridget C Benson
- Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, 1 Wakefield Street, London, WC1N 1PJ, UK.,Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Tammaryn Lashley
- Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, 1 Wakefield Street, London, WC1N 1PJ, UK. .,Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
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