AD Resemblance Atrophy Index of Brain Magnetic Resonance Imaging in Predicting the Progression of Mild Cognitive Impairment Carrying Apolipoprotein E-ε4 Allele
Background and ObjectiveEarly identification is important for timely Alzheimer’s disease (AD) treatment. Apolipoprotein E ε4 allele (APOE-ε4) is an important genetic risk factor for sporadic AD. The AD-Resemblance Atrophy Index (RAI)—a structural magnetic resonance imaging-derived composite index—wa...
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| Format: | Article |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2022.859492/full |
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| author | Yingren Mai Zhiyu Cao Jiaxin Xu Qun Yu Shaoqing Yang Jingyi Tang Lei Zhao Lei Zhao Wenli Fang Yishan Luo Yishan Luo Ming Lei Vincent C. T. Mok Vincent C. T. Mok Vincent C. T. Mok Lin Shi Lin Shi Lin Shi Wang Liao Jun Liu Jun Liu the Alzheimer’s Disease Neuroimaging Initiative |
| author_facet | Yingren Mai Zhiyu Cao Jiaxin Xu Qun Yu Shaoqing Yang Jingyi Tang Lei Zhao Lei Zhao Wenli Fang Yishan Luo Yishan Luo Ming Lei Vincent C. T. Mok Vincent C. T. Mok Vincent C. T. Mok Lin Shi Lin Shi Lin Shi Wang Liao Jun Liu Jun Liu the Alzheimer’s Disease Neuroimaging Initiative |
| author_sort | Yingren Mai |
| collection | DOAJ |
| description | Background and ObjectiveEarly identification is important for timely Alzheimer’s disease (AD) treatment. Apolipoprotein E ε4 allele (APOE-ε4) is an important genetic risk factor for sporadic AD. The AD-Resemblance Atrophy Index (RAI)—a structural magnetic resonance imaging-derived composite index—was found to predict the risk of progression from mild cognitive impairment (MCI) to AD. Therefore, we investigated whether the AD-RAI can predict cognitive decline and progression to AD in patients with MCI carrying APOE ε4.MethodsWe included 733 participants with MCI from the Alzheimer’s Disease Neuroimaging Initiative Database (ADNI). Their APOE genotypes, cognitive performance, and levels of AD-RAI were assessed at baseline and follow-up. Linear regression models were used to test the correlations between the AD-RAI and baseline cognitive measures, and linear mixed models with random intercepts and slopes were applied to investigate whether AD-RAI and APOE-ε4 can predict the level of cognitive decline. Cox proportional risk regression models were used to test the association of AD-RAI and APOE status with the progression from MCI to AD.ResultsThe baseline AD-RAI was higher in the MCI converted to AD group than in the MCI stable group (P < 0.001). The AD-RAI was significantly correlated with cognition, and had a synergistic effect with APOE-ε4 to predict the rate of cognitive decline. The AD-RAI predicted the risk and timing of MCI progression to AD. Based on the MCI population carrying APOE-ε4, the median time to progression from MCI to AD was 24 months if the AD-RAI > 0.5, while the median time to progression from MCI to AD was 96 months for patients with an AD-RAI ≤ 0.5.ConclusionThe AD-RAI can predict the risk of progression to AD in people with MCI carrying APOE ε4, is strongly correlated with cognition, and can predict cognitive decline. |
| first_indexed | 2024-04-13T03:38:23Z |
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| language | English |
| last_indexed | 2024-04-13T03:38:23Z |
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| spelling | doaj.art-bc3f1dbae7884e01bb6f8339dac806ee2022-12-22T03:04:16ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652022-04-011410.3389/fnagi.2022.859492859492AD Resemblance Atrophy Index of Brain Magnetic Resonance Imaging in Predicting the Progression of Mild Cognitive Impairment Carrying Apolipoprotein E-ε4 AlleleYingren Mai0Zhiyu Cao1Jiaxin Xu2Qun Yu3Shaoqing Yang4Jingyi Tang5Lei Zhao6Lei Zhao7Wenli Fang8Yishan Luo9Yishan Luo10Ming Lei11Vincent C. T. Mok12Vincent C. T. Mok13Vincent C. T. Mok14Lin Shi15Lin Shi16Lin Shi17Wang Liao18Jun Liu19Jun Liu20the Alzheimer’s Disease Neuroimaging InitiativeDepartment of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaDepartment of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaBrainNow Research Institute, Shenzhen, ChinaBrainNow Medical Technology Limited, Shenzhen, ChinaDepartment of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaBrainNow Research Institute, Shenzhen, ChinaBrainNow Medical Technology Limited, Shenzhen, ChinaDepartment of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaBrainNow Research Institute, Shenzhen, ChinaBrainNow Medical Technology Limited, Shenzhen, ChinaDivision of Neurology, Department of Medicine and Therapeutics, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, ChinaBrainNow Research Institute, Shenzhen, ChinaBrainNow Medical Technology Limited, Shenzhen, ChinaDepartment of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaDepartment of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaBackground and ObjectiveEarly identification is important for timely Alzheimer’s disease (AD) treatment. Apolipoprotein E ε4 allele (APOE-ε4) is an important genetic risk factor for sporadic AD. The AD-Resemblance Atrophy Index (RAI)—a structural magnetic resonance imaging-derived composite index—was found to predict the risk of progression from mild cognitive impairment (MCI) to AD. Therefore, we investigated whether the AD-RAI can predict cognitive decline and progression to AD in patients with MCI carrying APOE ε4.MethodsWe included 733 participants with MCI from the Alzheimer’s Disease Neuroimaging Initiative Database (ADNI). Their APOE genotypes, cognitive performance, and levels of AD-RAI were assessed at baseline and follow-up. Linear regression models were used to test the correlations between the AD-RAI and baseline cognitive measures, and linear mixed models with random intercepts and slopes were applied to investigate whether AD-RAI and APOE-ε4 can predict the level of cognitive decline. Cox proportional risk regression models were used to test the association of AD-RAI and APOE status with the progression from MCI to AD.ResultsThe baseline AD-RAI was higher in the MCI converted to AD group than in the MCI stable group (P < 0.001). The AD-RAI was significantly correlated with cognition, and had a synergistic effect with APOE-ε4 to predict the rate of cognitive decline. The AD-RAI predicted the risk and timing of MCI progression to AD. Based on the MCI population carrying APOE-ε4, the median time to progression from MCI to AD was 24 months if the AD-RAI > 0.5, while the median time to progression from MCI to AD was 96 months for patients with an AD-RAI ≤ 0.5.ConclusionThe AD-RAI can predict the risk of progression to AD in people with MCI carrying APOE ε4, is strongly correlated with cognition, and can predict cognitive decline.https://www.frontiersin.org/articles/10.3389/fnagi.2022.859492/fullAlzheimer’s diseasemild cognitive impairmentmagnetic resonance imagingAD resemblance atrophy indexAPOE ε4-allelecognition |
| spellingShingle | Yingren Mai Zhiyu Cao Jiaxin Xu Qun Yu Shaoqing Yang Jingyi Tang Lei Zhao Lei Zhao Wenli Fang Yishan Luo Yishan Luo Ming Lei Vincent C. T. Mok Vincent C. T. Mok Vincent C. T. Mok Lin Shi Lin Shi Lin Shi Wang Liao Jun Liu Jun Liu the Alzheimer’s Disease Neuroimaging Initiative AD Resemblance Atrophy Index of Brain Magnetic Resonance Imaging in Predicting the Progression of Mild Cognitive Impairment Carrying Apolipoprotein E-ε4 Allele Frontiers in Aging Neuroscience Alzheimer’s disease mild cognitive impairment magnetic resonance imaging AD resemblance atrophy index APOE ε4-allele cognition |
| title | AD Resemblance Atrophy Index of Brain Magnetic Resonance Imaging in Predicting the Progression of Mild Cognitive Impairment Carrying Apolipoprotein E-ε4 Allele |
| title_full | AD Resemblance Atrophy Index of Brain Magnetic Resonance Imaging in Predicting the Progression of Mild Cognitive Impairment Carrying Apolipoprotein E-ε4 Allele |
| title_fullStr | AD Resemblance Atrophy Index of Brain Magnetic Resonance Imaging in Predicting the Progression of Mild Cognitive Impairment Carrying Apolipoprotein E-ε4 Allele |
| title_full_unstemmed | AD Resemblance Atrophy Index of Brain Magnetic Resonance Imaging in Predicting the Progression of Mild Cognitive Impairment Carrying Apolipoprotein E-ε4 Allele |
| title_short | AD Resemblance Atrophy Index of Brain Magnetic Resonance Imaging in Predicting the Progression of Mild Cognitive Impairment Carrying Apolipoprotein E-ε4 Allele |
| title_sort | ad resemblance atrophy index of brain magnetic resonance imaging in predicting the progression of mild cognitive impairment carrying apolipoprotein e ε4 allele |
| topic | Alzheimer’s disease mild cognitive impairment magnetic resonance imaging AD resemblance atrophy index APOE ε4-allele cognition |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2022.859492/full |
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