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Identification of Alzheimer’s disease–associated rare coding variants in the ECE2 gene
Xinxin Liao, … , Lu Shen, Weihong Song
Xinxin Liao, … , Lu Shen, Weihong Song
Published February 27, 2020
Citation Information: JCI Insight. 2020;5(4):e135119. https://doi.org/10.1172/jci.insight.135119.
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Research Article Neuroscience

Identification of Alzheimer’s disease–associated rare coding variants in the ECE2 gene

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Abstract

Accumulation of amyloid β protein (Aβ) due to increased generation and/or impaired degradation plays an important role in Alzheimer’s disease (AD) pathogenesis. In this report, we describe the identification of rare coding mutations in the endothelin-converting enzyme 2 (ECE2) gene in 1 late-onset AD family, and additional case-control cohort analysis indicates ECE2 variants associated with the risk of developing AD. The 2 mutations (R186C and F751S) located in the peptidase domain in the ECE2 protein were found to severely impair the enzymatic activity of ECE2 in Aβ degradation. We further evaluated the effect of the R186C mutation in mutant APP–knockin mice. Overexpression of wild-type ECE2 in the hippocampus reduced amyloid load and plaque formation, and improved learning and memory deficits in the AD model mice. However, the effect was abolished by the R186C mutation in ECE2. Taken together, the results demonstrated that ECE2 peptidase mutations contribute to AD pathogenesis by impairing Aβ degradation, and overexpression of ECE2 alleviates AD phenotypes. This study indicates that ECE2 is a risk gene for AD development and pharmacological activation of ECE2 could be a promising strategy for AD treatment.

Authors

Xinxin Liao, Fang Cai, Zhanfang Sun, Yun Zhang, Juelu Wang, Bin Jiao, Jifeng Guo, Jinchen Li, Xixi Liu, Lina Guo, Yafang Zhou, Junling Wang, Xinxiang Yan, Hong Jiang, Kun Xia, Jiada Li, Beisha Tang, Lu Shen, Weihong Song

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Figure 1

Pedigree and clinical features.

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Pedigree and clinical features.
(A) Pedigree of family A with Alzheimer’...
(A) Pedigree of family A with Alzheimer’s disease. Subjects in the family were identified by number in 3 generations I, II, and III. Open symbols = unaffected; filled symbols = affected; symbols with a question mark = phenotype unknown; symbols with a diagonal line = deceased subjects; squares = male; circles = female; arrow indicates the proband; Y indicates the analyzed subject. (B and C) Structural magnetic resonance imaging (MRI) of patient III: 3. Coronal T2 flair MRI (B) and axial T1-weighted MRI (C) showed widespread atrophy in cortex and hippocampus. (D) 11C-Pittsburgh compound B (PiB) PET. Compared with the control (III:4, top row), patient III:3 (bottom row) showed increased PiB signal accumulation in frontal lobe (left), temporal lobe (middle), and occipital lobe (right). (E) 18F-fluorodeoxyglucose (18F-FDG) PET. Axial (top, left), sagittal (top, middle), and coronal (top, right) images from the control III:4; axial (bottom, left), sagittal (bottom, middle), and coronal (bottom, right) images from patient III:3. Hypometabolic activity in temporal-parietal, frontal, and occipital cortices of patient III:3. (F) Amyloid plaques in brain tissue sections from patient III:3 were immunostained with anti-Aβ antibody 6E10. (G) Phospho-tau staining in brain tissue sections from patient III:3. Scale bars: 200 μm.

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