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Borcuk C, Héraud C, Herbeaux K, Diringer M, Panzer É, Scuto J, Hashimoto S, Saido TC, Saito T, Goutagny R, Battaglia D, Mathis C. Early memory deficits and extensive brain network disorganization in the AppNL-F/MAPT double knock-in mouse model of familial Alzheimer's disease. Aging Brain 2022; 2:100042. [PMID: 36908877 PMCID: PMC9997176 DOI: 10.1016/j.nbas.2022.100042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 05/18/2022] [Indexed: 10/18/2022] Open
Abstract
A critical challenge in current research on Alzheimer's disease (AD) is to clarify the relationship between network dysfunction and the emergence of subtle memory deficits in itspreclinical stage. The AppNL-F/MAPT double knock-in (dKI) model with humanized β-amyloid peptide (Aβ) and tau was used to investigate both memory and network dysfunctions at an early stage. Young male dKI mice (2 to 6 months) were tested in three tasks taxing different aspects of recognition memory affected in preclinical AD. An early deficit first appeared in the object-place association task at the age of 4 months, when increased levels of β-CTF and Aβ were detected in both the hippocampus and the medial temporal cortex, and tau pathology was found only in the medial temporal cortex. Object-place task-dependent c-Fos activation was then analyzed in 22 subregions across the medial prefrontal cortex, claustrum, retrosplenial cortex, and medial temporal lobe. Increased c-Fos activation was detected in the entorhinal cortex and the claustrum of dKI mice. During recall, network efficiency was reduced across cingulate regions with a major disruption of information flow through the retrosplenial cortex. Our findings suggest that early perirhinal-entorhinal pathology is associated with abnormal activity which may spread to downstream regions such as the claustrum, the medial prefrontal cortex and ultimately the key retrosplenial hub which relays information from frontal to temporal lobes. The similarity between our findings and those reported in preclinical stages of AD suggests that the AppNL-F/MAPT dKI model has a high potential for providing key insights into preclinical AD.
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Key Words
- AD, Alzheimer’s disease
- ADAD, autosomal dominant Alzheimer’s disease
- Associative memory
- CLA, claustrum
- Claustrum
- DMN, default mode network
- EI, exploration index
- FC, functional connectivity
- Functional connectivity
- MI, Memory index
- MTC, medial temporal cortex
- MTL, medial temporal lobe
- Medial temporal cortex
- NOR, novel object recognition
- OL, Object location
- OP, object-place
- PS, Pattern Separation
- Preclinical Alzheimer disease
- Retrosplenial cortex
- aMCI, amnestic mild cognitive impairment
- amyloid beta, Aβ
- dKI, AppNL-F/MAPT double knock-in
- ptau Thr 181, Thr181phosphorylated tau protein
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Affiliation(s)
- Christopher Borcuk
- Université de Strasbourg, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA) UMR 7364, F-67000 Strasbourg, France
| | - Céline Héraud
- Université de Strasbourg, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA) UMR 7364, F-67000 Strasbourg, France
| | - Karine Herbeaux
- Université de Strasbourg, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA) UMR 7364, F-67000 Strasbourg, France
| | - Margot Diringer
- Université de Strasbourg, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA) UMR 7364, F-67000 Strasbourg, France
| | - Élodie Panzer
- Université de Strasbourg, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA) UMR 7364, F-67000 Strasbourg, France
| | - Jil Scuto
- Université de Strasbourg, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA) UMR 7364, F-67000 Strasbourg, France
| | - Shoko Hashimoto
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako-city, Saitama 351-0198, Japan
| | - Takaomi C Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako-city, Saitama 351-0198, Japan
| | - Takashi Saito
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako-city, Saitama 351-0198, Japan
| | - Romain Goutagny
- Université de Strasbourg, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA) UMR 7364, F-67000 Strasbourg, France
| | - Demian Battaglia
- Université de Strasbourg, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA) UMR 7364, F-67000 Strasbourg, France.,University of Strasbourg Institute for Advanced Studies (USIAS), F-67000 Strasbourg, France.,Université d'Aix-Marseille, Inserm, Institut de Neurosciences des Systèmes (INS) UMR_S 1106, F-13005 Marseille, France
| | - Chantal Mathis
- Université de Strasbourg, CNRS, Laboratoire de Neurosciences Cognitives et Adaptatives (LNCA) UMR 7364, F-67000 Strasbourg, France
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Xie L, Dolui S, Das SR, Stockbower GE, Daffner M, Rao H, Yushkevich PA, Detre JA, Wolk DA. A brain stress test: Cerebral perfusion during memory encoding in mild cognitive impairment. Neuroimage Clin 2016; 11:388-397. [PMID: 27222794 PMCID: PMC4821452 DOI: 10.1016/j.nicl.2016.03.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Revised: 02/16/2016] [Accepted: 03/01/2016] [Indexed: 11/24/2022]
Abstract
Arterial spin labeled perfusion magnetic resonance imaging (ASL MRI) provides non-invasive quantification of cerebral blood flow, which can be used as a biomarker of brain function due to the tight coupling between cerebral blood flow (CBF) and brain metabolism. A growing body of literature suggests that regional CBF is altered in neurodegenerative diseases. Here we examined ASL MRI CBF in subjects with amnestic mild cognitive impairment (n = 65) and cognitively normal healthy controls (n = 62), both at rest and during performance of a memory-encoding task. As compared to rest, task-enhanced ASL MRI improved group discrimination, which supports the notion that physiologic measures during a cognitive challenge, or “stress test”, may increase the ability to detect subtle functional changes in early disease stages. Further, logistic regression analysis demonstrated that ASL MRI and concomitantly acquired structural MRI provide complementary information of disease status. The current findings support the potential utility of task-enhanced ASL MRI as a biomarker in early Alzheimer's disease. We examined ASL MRI in MCI and normal control during rest & a memory encoding task. Task-enhanced ASL MRI increases sensitivity for discriminating MCI. Both ASL and structural MRI provide complementary information of disease status. This work supports the potential utility of ASL MRI as an early biomarker for AD.
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Key Words
- AAL, Anatomical Automatic Labeling
- ASL, arterial spin labeled
- Alzheimer's disease
- Arterial spin labeling
- BOLD, blood oxygen level dependent
- Biomarker
- CBF, cerebral blood flow
- CSF, cerebrospinal fluid
- FDG PET, flourodeoyglucose positron emission tomography
- FWER, familywise error rate
- HC, health control
- MCI, mild cognitive impairment
- MMSE, mini-mental status exam
- MNI, Montreal Neurological Institute
- MTL, medial temporal lobe
- Medial temporal lobe
- PASL, pulsed ASL
- PCC, posterior cingulate cortex
- ROI, region of interest
- SCORE, structural correlation based outlier rejection
- Scene-encoding memory task
- a-MCI, amnestic mild cognitive impairment
- aCBF, absolute cerebral blood flow
- pCASL, pseudo-continuous ASL
- rCBF, relative cerebral blood flow
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Affiliation(s)
- Long Xie
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
| | - Sudipto Dolui
- Center for Functional Neuroimaging, Department of Neurology, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sandhitsu R Das
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Grace E Stockbower
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Molly Daffner
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Hengyi Rao
- Center for Functional Neuroimaging, Department of Neurology, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul A Yushkevich
- Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Center for Functional Neuroimaging, Department of Neurology, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
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Klosinski LP, Yao J, Yin F, Fonteh AN, Harrington MG, Christensen TA, Trushina E, Brinton RD. White Matter Lipids as a Ketogenic Fuel Supply in Aging Female Brain: Implications for Alzheimer's Disease. EBioMedicine 2015; 2:1888-904. [PMID: 26844268 PMCID: PMC4703712 DOI: 10.1016/j.ebiom.2015.11.002] [Citation(s) in RCA: 104] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 10/24/2015] [Accepted: 11/02/2015] [Indexed: 01/28/2023] Open
Abstract
White matter degeneration is a pathological hallmark of neurodegenerative diseases including Alzheimer's. Age remains the greatest risk factor for Alzheimer's and the prevalence of age-related late onset Alzheimer's is greatest in females. We investigated mechanisms underlying white matter degeneration in an animal model consistent with the sex at greatest Alzheimer's risk. Results of these analyses demonstrated decline in mitochondrial respiration, increased mitochondrial hydrogen peroxide production and cytosolic-phospholipase-A2 sphingomyelinase pathway activation during female brain aging. Electron microscopic and lipidomic analyses confirmed myelin degeneration. An increase in fatty acids and mitochondrial fatty acid metabolism machinery was coincident with a rise in brain ketone bodies and decline in plasma ketone bodies. This mechanistic pathway and its chronologically phased activation, links mitochondrial dysfunction early in aging with later age development of white matter degeneration. The catabolism of myelin lipids to generate ketone bodies can be viewed as a systems level adaptive response to address brain fuel and energy demand. Elucidation of the initiating factors and the mechanistic pathway leading to white matter catabolism in the aging female brain provides potential therapeutic targets to prevent and treat demyelinating diseases such as Alzheimer's and multiple sclerosis. Targeting stages of disease and associated mechanisms will be critical. Mitochondrial dysfunction activates mechanisms for catabolism of myelin lipids to generate ketone bodies for ATP production. Mechanisms leading to ketone body driven energy production in brain coincide with stages of reproductive aging in females. Sequential activation of myelin catabolism pathway during aging provides multiple therapeutic targets and windows of efficacy.
The mechanisms underlying white matter degeneration, a hallmark of multiple neurodegenerative diseases including Alzheimer's, remain unclear. Herein we provide a mechanistic pathway, spanning multiple transitions of aging, that links mitochondrial dysfunction early in aging with later age white matter degeneration. Catabolism of myelin lipids to generate ketone bodies can be viewed as an adaptive survival response to address brain fuel and energy demand. Women are at greatest risk of late-onset-AD, thus, our analyses in female brain address mechanisms of AD pathology and therapeutic targets to prevent, delay and treat AD in the sex most affected with potential relevance to men.
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Key Words
- ABAD, Aβ-binding alcohol dehydrogenase
- ABAD, Aβ-binding-alcohol-dehydrogenase
- ACER3, alkaline ceramidase
- AD, Alzheimer's disease
- APO-ε4, apolipoprotein ε4
- APP, amyloid precursor protein
- Aging oxidative stress
- Alzheimer's disease
- BACE1, beta-secretase 1
- BBB, blood brain barrier
- CC, corpus callosum
- CMRglu, cerebral glucose metabolic rate
- COX, complex IV cytochrome c oxidase
- CPT1, carnitine palmitoyltransferase 1
- Cldn11, claudin 11
- Cyp2j6, arachidonic acid epoxygenase
- Cytosolic phospholipase A2
- DHA, docosahexaesnoic acid
- Erbb3, Erb-B2 receptor tyrosine kinase 3
- FDG-PET, 2-[18F]fluoro-2-deoxy-d-glucose
- GFAP, glial fibrillary acidic protein
- H2O2, hydrogen peroxide
- HADHA, hydroxyacyl-CoA dehydrogenase
- HK, hexokinase
- Ketone bodies
- LC MS, liquid chromatography mass spectrometer
- MAG, myelin associated glycoprotein
- MBP, myelin basic protein
- MCT1, monocarboxylate transporter 1
- MIB, mitochondrial isolation buffer
- MOG, myelin oligodendrocyte glycoprotein
- MTL, medial temporal lobe
- Mitochondria
- NEFA, nonesterified fatty acids
- Neurodegeneration
- OCR, oxygen consumption rate
- Olig2, oligodendrocyte transcription factor
- PB, phosphate buffer
- PCC, posterior cingulate
- PCR, polymerase chain reaction
- PDH, pyruvate dehydrogenase
- PEI, polyethyleneimine
- RCR, respiratory control ratio
- ROS, reactive oxygen species
- S1P, sphingosine
- TLDA, TaqMan low density array
- WM, white matter
- WT, wild type
- White matter
- cPLA2, cytosolic phospholipase A2
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Affiliation(s)
- Lauren P Klosinski
- Department of Neuroscience, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA
| | - Jia Yao
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA, USA
| | - Fei Yin
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Eugenia Trushina
- Department of Neurology, Mayo Clinic Rochester, MN, USA; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Roberta Diaz Brinton
- Department of Neuroscience, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA; Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Haris M, Yadav SK, Rizwan A, Singh A, Cai K, Kaura D, Wang E, Davatzikos C, Trojanowski JQ, Melhem ER, Marincola FM, Borthakur A. T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease. Neuroimage Clin 2015; 7:598-604. [PMID: 25844314 PMCID: PMC4375645 DOI: 10.1016/j.nicl.2015.02.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Revised: 02/22/2015] [Accepted: 02/23/2015] [Indexed: 01/14/2023]
Abstract
In the current study, we have evaluated the performance of magnetic resonance (MR) T1rho (T1ρ) imaging and CSF biomarkers (T-tau, P-tau and Aβ-42) in characterization of Alzheimer's disease (AD) patients from mild cognitive impairment (MCI) and control subjects. With informed consent, AD (n = 27), MCI (n = 17) and control (n = 17) subjects underwent a standardized clinical assessment and brain MRI on a 1.5-T clinical-scanner. T1ρ images were obtained at four different spin-lock pulse duration (10, 20, 30 and 40 ms). T1ρ maps were generated by pixel-wise fitting of signal intensity as a function of the spin-lock pulse duration. T1ρ values from gray matter (GM) and white matter (WM) of medial temporal lobe were calculated. The binary logistic regression using T1ρ and CSF biomarkers as variables was performed to classify each group. T1ρ was able to predict 77.3% controls and 40.0% MCI while CSF biomarkers predicted 81.8% controls and 46.7% MCI. T1ρ and CSF biomarkers in combination predicted 86.4% controls and 66.7% MCI. When comparing controls with AD, T1ρ predicted 68.2% controls and 73.9% AD, while CSF biomarkers predicted 77.3% controls and 78.3% for AD. Combination of T1ρ and CSF biomarkers improved the prediction rate to 81.8% for controls and 82.6% for AD. Similarly, on comparing MCI with AD, T1ρ predicted 35.3% MCI and 81.9% AD, whereas CSF biomarkers predicted 53.3% MCI and 83.0% AD. Collectively CSF biomarkers and T1ρ were able to predict 59.3% MCI and 84.6% AD. On receiver operating characteristic analysis T1ρ showed higher sensitivity while CSF biomarkers showed greater specificity in delineating MCI and AD from controls. No significant correlation between T1ρ and CSF biomarkers, between T1ρ and age, and between CSF biomarkers and age was observed. The combined use of T1ρ and CSF biomarkers have promise to improve the early and specific diagnosis of AD. Furthermore, disease progression form MCI to AD might be easily tracked using these two parameters in combination. Increased T1rho was observed in MCI and AD compared to controls. Increased T-tau and P-tau and decreased Aβ1-42 were observed in MCI and AD. Combined biomarkers have promise to improve early and specific diagnosis of AD. MCI to AD progression might be tracked using these two biomarkers in combination.
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Key Words
- AD, Alzheimer's disease
- Alzheimer's disease
- Aβ1-42, amyloid beta 42
- CSF biomarkers
- CSF, cerebrospinal fluid
- FOV, field of view
- GM, gray matter
- MCI, mild cognitive impairment
- MMSE, Mini-Mental State Examination
- MPRAGE, magnetization prepared rapid acquisition gradient-echo
- MRI, magnetic resonance imaging
- MTL, medial temporal lobe
- Medial temporal lobe
- Mild cognitive impairment
- PET, positron emission tomography
- ROC, receiver operating characteristic.
- T-tau, total tau
- T1rho
- T1ρ, T1rho
- TE, echo time
- TI, inversion time
- TR, repetition time
- TSL, total spin lock
- WM, white matter
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Affiliation(s)
- Mohammad Haris
- Research Branch, Sidra Medical and Research Center, Doha, Qatar ; Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Santosh K Yadav
- Research Branch, Sidra Medical and Research Center, Doha, Qatar
| | - Arshi Rizwan
- All India Institute of Medical Science, Ansari Nagar East, New Delhi, Delhi 110029, India
| | - Anup Singh
- Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA ; Center for Biomedical Engineering, Indian institute of Technology, New Delhi, India
| | - Kejia Cai
- Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA ; Center for Magnetic Resonance Research, Radiology Department, University of Illinois at Chicago, IL, USA
| | - Deepak Kaura
- Research Branch, Sidra Medical and Research Center, Doha, Qatar
| | - Ena Wang
- Research Branch, Sidra Medical and Research Center, Doha, Qatar
| | - Christos Davatzikos
- Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology & Lab Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elias R Melhem
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Arijitt Borthakur
- Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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