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Zammit MD, Betthauser TJ, McVea AK, Laymon CM, Tudorascu DL, Johnson SC, Hartley SL, Converse AK, Minhas DS, Zaman SH, Ances BM, Stone CK, Mathis CA, Cohen AD, Klunk WE, Handen BL, Christian BT. Characterizing the emergence of amyloid and tau burden in Down syndrome. Alzheimers Dement 2024; 20:388-398. [PMID: 37641577 PMCID: PMC10843570 DOI: 10.1002/alz.13444] [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: 05/17/2023] [Revised: 07/14/2023] [Accepted: 07/23/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION Almost all individuals with Down syndrome (DS) will develop neuropathological features of Alzheimer's disease (AD). Understanding AD biomarker trajectories is necessary for DS-specific clinical interventions and interpretation of drug-related changes in the disease trajectory. METHODS A total of 177 adults with DS from the Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS) underwent positron emission tomography (PET) and MR imaging. Amyloid-beta (Aβ) trajectories were modeled to provide individual-level estimates of Aβ-positive (A+) chronicity, which were compared against longitudinal tau change. RESULTS Elevated tau was observed in all NFT regions following A+ and longitudinal tau increased with respect to A+ chronicity. Tau increases in NFT regions I-III was observed 0-2.5 years following A+. Nearly all A+ individuals had tau increases in the medial temporal lobe. DISCUSSION These findings highlight the rapid accumulation of amyloid and early onset of tau relative to amyloid in DS and provide a strategy for temporally characterizing AD neuropathology progression that is specific to the DS population and independent of chronological age. HIGHLIGHTS Longitudinal amyloid trajectories reveal rapid Aβ accumulation in Down syndrome NFT stage tau was strongly associated with A+ chronicity Early longitudinal tau increases were observed 2.5-5 years after reaching A.
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Affiliation(s)
| | - Tobey J. Betthauser
- University of Wisconsin‐Madison Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Andrew K. McVea
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
| | - Charles M. Laymon
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Dana L. Tudorascu
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Sterling C. Johnson
- University of Wisconsin‐Madison Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Sigan L. Hartley
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
| | | | - Davneet S. Minhas
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Shahid H. Zaman
- Cambridge Intellectual Disability Research GroupUniversity of CambridgeCambridgeUK
| | - Beau M. Ances
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Charles K. Stone
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Chester A. Mathis
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Annie D. Cohen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - William E. Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Benjamin L. Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Bradley T. Christian
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Shen Y, Gao F, Wang Y, Wang Y, Zheng J, Gong J, Zhang J, Luo Z, Schindler D, Deng Y, Ding W, Lin T, Swidah R, Zhao H, Jiang S, Zeng C, Chen S, Chen T, Wang Y, Luo Y, Mitchell L, Bader JS, Zhang G, Shen X, Wang J, Fu X, Dai J, Boeke JD, Yang H, Xu X, Cai Y. Dissecting aneuploidy phenotypes by constructing Sc2.0 chromosome VII and SCRaMbLEing synthetic disomic yeast. CELL GENOMICS 2023; 3:100364. [PMID: 38020968 PMCID: PMC10667312 DOI: 10.1016/j.xgen.2023.100364] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 04/03/2023] [Accepted: 07/06/2023] [Indexed: 12/01/2023]
Abstract
Aneuploidy compromises genomic stability, often leading to embryo inviability, and is frequently associated with tumorigenesis and aging. Different aneuploid chromosome stoichiometries lead to distinct transcriptomic and phenotypic changes, making it helpful to study aneuploidy in tightly controlled genetic backgrounds. By deploying the engineered SCRaMbLE (synthetic chromosome rearrangement and modification by loxP-mediated evolution) system to the newly synthesized megabase Sc2.0 chromosome VII (synVII), we constructed a synthetic disomic yeast and screened hundreds of SCRaMbLEd derivatives with diverse chromosomal rearrangements. Phenotypic characterization and multi-omics analysis revealed that fitness defects associated with aneuploidy could be restored by (1) removing most of the chromosome content or (2) modifying specific regions in the duplicated chromosome. These findings indicate that both chromosome copy number and specific chromosomal regions contribute to the aneuploidy-related phenotypes, and the synthetic chromosome resource opens new paradigms in studying aneuploidy.
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Affiliation(s)
- Yue Shen
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Feng Gao
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Yun Wang
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
- University of Copenhagen, Universitetsparken 15, 2100 Copenhagen, Denmark
| | - Yuerong Wang
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ju Zheng
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | | | | | - Zhouqing Luo
- Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Key Laboratory of Synthetic Genomics, Center for Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Daniel Schindler
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
- Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch-Strasse 10, 35043 Marburg, Germany
| | - Yang Deng
- BGI Research, Shenzhen 518083, China
| | - Weichao Ding
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tao Lin
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Reem Swidah
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
| | - Hongcui Zhao
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Shuangying Jiang
- Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Key Laboratory of Synthetic Genomics, Center for Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China
| | - Cheng Zeng
- Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Key Laboratory of Synthetic Genomics, Center for Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China
| | | | - Tai Chen
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Yong Wang
- BGI Research, Shenzhen 518083, China
| | - Yisha Luo
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
| | - Leslie Mitchell
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Joel S. Bader
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Guojie Zhang
- University of Copenhagen, Universitetsparken 15, 2100 Copenhagen, Denmark
| | - Xia Shen
- Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Center for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Jian Wang
- BGI Research, Shenzhen 518083, China
| | - Xian Fu
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Junbiao Dai
- Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Key Laboratory of Synthetic Genomics, Center for Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China
| | - Jef D. Boeke
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
- Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201, USA
| | | | - Xun Xu
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Yizhi Cai
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
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Briggs P, Barsoum M, Soffe K. Challenges faced by women with learning disabilities, when they reach the menopause transition. Post Reprod Health 2023; 29:113-118. [PMID: 37322002 DOI: 10.1177/20533691231179797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
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Chen J, Fan A, Li S, Xiao Y, Fu Y, Chen JS, Zi D, Zeng LH, Tan J. APP mediates tau uptake and its overexpression leads to the exacerbated tau pathology. Cell Mol Life Sci 2023; 80:123. [PMID: 37071198 PMCID: PMC11071805 DOI: 10.1007/s00018-023-04774-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 03/11/2023] [Accepted: 03/16/2023] [Indexed: 04/19/2023]
Abstract
Alzheimer's disease (AD), as the most common type of dementia, has two pathological hallmarks, extracellular senile plaques composed of β-amyloid peptides and intracellular neurofibrillary tangles containing phosphorylated-tau protein. Amyloid precursor protein (APP) and tau each play central roles in AD, although how APP and tau interact and synergize in the disease process is largely unknown. Here, we showed that soluble tau interacts with the N-terminal of APP in vitro in cell-free and cell culture systems, which can be further confirmed in vivo in the brain of 3XTg-AD mouse. In addition, APP is involved in the cellular uptake of tau through endocytosis. APP knockdown or N-terminal APP-specific antagonist 6KApoEp can prevent tau uptake in vitro, resulting in an extracellular tau accumulation in cultured neuronal cells. Interestingly, in APP/PS1 transgenic mouse brain, the overexpression of APP exacerbated tau propagation. Moreover, in the human tau transgenic mouse brain, overexpression of APP promotes tau phosphorylation, which is significantly remediated by 6KapoEp. All these results demonstrate the important role of APP in the tauopathy of AD. Targeting the pathological interaction of N-terminal APP with tau may provide an important therapeutic strategy for AD.
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Affiliation(s)
- Jiang Chen
- Key Laboratory of Endemic and Ethnic Diseases, Laboratory of Molecular Biology, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Anran Fan
- Guizhou Provincial Key Laboratory for Regenerative Medicine, Stem Cell and Tissue Engineering Research Center, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Song Li
- First Affiliated Hospital of Dalian Medical University, Dalian, 116021, Liaoning, China
| | - Yan Xiao
- Key Laboratory of Endemic and Ethnic Diseases, Laboratory of Molecular Biology, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Yanlin Fu
- Key Laboratory of Endemic and Ethnic Diseases, Laboratory of Molecular Biology, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Jun-Sheng Chen
- Key Laboratory of Endemic and Ethnic Diseases, Laboratory of Molecular Biology, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China
| | - Dan Zi
- Department of Gynecology, Guizhou Provincial People's Hospital, Guiyang, 550025, Guizhou, China
| | - Ling-Hui Zeng
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 310015, Zhejiang, China
| | - Jun Tan
- Key Laboratory of Endemic and Ethnic Diseases, Laboratory of Molecular Biology, Ministry of Education, Guizhou Medical University, Guiyang, 550025, Guizhou, China.
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, 310015, Zhejiang, China.
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Elangovan A, Babu HWS, Iyer M, Gopalakrishnan AV, Vellingiri B. Untangle the mystery behind DS-associated AD - Is APP the main protagonist? Ageing Res Rev 2023; 87:101930. [PMID: 37031726 DOI: 10.1016/j.arr.2023.101930] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 04/11/2023]
Abstract
Amyloid precursor protein profusion in Trisomy 21, also called Down Syndrome (DS), is rooted in the genetic determination of Alzheimer's disease (AD). With the recent development in patient care, the life expectancy of DS patients has gradually increased, leading to the high prospect of AD development, consequently leading to the development of plaques of amyloid proteins and neurofibrillary tangles made of tau by the fourth decade of the patient leading to dementia. The altered gene expression resulted in cellular dysfunction due to impairment of autophagy, mitochondrial and lysosomal dysfunction, and copy number variation controlled by the additional genes in Trisomy 21. The cognitive impairment and mechanistic insights underlying DS-AD conditions have been reviewed in this article. Some recent findings regarding biomarkers and therapeutics of DS-AD conditions were highlighted in this review.
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Affiliation(s)
- Ajay Elangovan
- Stem cell and Regenerative Medicine/ Translational Research, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda 151401, Punjab, India; Human Molecular Cytogenetics and Stem Cell Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore 641 046, Tamil Nadu, India
| | - Harysh Winster Suresh Babu
- Stem cell and Regenerative Medicine/ Translational Research, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda 151401, Punjab, India; Human Molecular Cytogenetics and Stem Cell Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore 641 046, Tamil Nadu, India
| | - Mahalaxmi Iyer
- Department of Biotechnology, Karpagam Academy of Higher Education (Deemed to be University), Coimbatore-641021, India
| | | | - Balachandar Vellingiri
- Stem cell and Regenerative Medicine/ Translational Research, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda 151401, Punjab, India; Human Molecular Cytogenetics and Stem Cell Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore 641 046, Tamil Nadu, India.
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6
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Malter JS. Pin1 and Alzheimer's disease. Transl Res 2023; 254:24-33. [PMID: 36162703 PMCID: PMC10111655 DOI: 10.1016/j.trsl.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/29/2022] [Accepted: 09/19/2022] [Indexed: 10/14/2022]
Abstract
Alzheimer's disease (AD) is an immense and growing public health crisis. Despite over 100 years of investigation, the etiology remains elusive and therapy ineffective. Despite current gaps in knowledge, recent studies have identified dysfunction or loss-of-function of Pin1, a unique cis-trans peptidyl prolyl isomerase, as an important step in AD pathogenesis. Here I review the functionality of Pin1 and its role in neurodegeneration.
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Affiliation(s)
- James S Malter
- Department of Pathology, UT Southwestern Medical Center, 5333 Harry Hines Blvd, Dallas, TX 75390.
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7
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Sawa M, Overk C, Becker A, Derse D, Albay R, Weldy K, Salehi A, Beach TG, Doran E, Head E, Yu YE, Mobley WC. Impact of increased APP gene dose in Down syndrome and the Dp16 mouse model. Alzheimers Dement 2022; 18:1203-1234. [PMID: 34757693 PMCID: PMC9085977 DOI: 10.1002/alz.12463] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 06/21/2021] [Accepted: 07/29/2021] [Indexed: 12/24/2022]
Abstract
INTRODUCTION People with Down syndrome (DS) are predisposed to Alzheimer's disease (AD). The amyloid hypothesis informs studies of AD. In AD-DS, but not sporadic AD, increased APP copy number is necessary, defining the APP gene dose hypothesis. Which amyloid precursor protein (APP) products contribute needs to be determined. METHODS Brain levels of full-length protein (fl-hAPP), C-terminal fragments (hCTFs), and amyloid beta (Aβ) peptides were measured in DS, AD-DS, non-demented controls (ND), and sporadic AD cases. The APP gene-dose hypothesis was evaluated in the Dp16 model. RESULTS DS and AD-DS differed from ND and AD for all APP products. In AD-DS, Aβ42 and Aβ40 levels exceeded AD. APP products were increased in the Dp16 model; increased APP gene dose was necessary for loss of vulnerable neurons, tau pathology, and activation of astrocytes and microglia. DISCUSSION Increases in APP products other than Aβ distinguished AD-DS from AD. Deciphering AD-DS pathogenesis necessitates deciphering which APP products contribute and how.
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Affiliation(s)
- Mariko Sawa
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093-0624
| | - Cassia Overk
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093-0624
| | - Ann Becker
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093-0624
| | - Dominique Derse
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093-0624
| | - Ricardo Albay
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093-0624
| | - Kim Weldy
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093-0624
| | - Ahmad Salehi
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305
| | - Thomas G. Beach
- Brain and Body Donation Program, Banner Sun Health Research Institute, Sun City, AZ 85351
| | - Eric Doran
- Department of Pediatrics, University of California, Irvine, CA, 92697
| | - Elizabeth Head
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, 92697
| | - Y. Eugene Yu
- The Children’s Guild Foundation Down Syndrome Research Program, Genetics and Genomics Program, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263
| | - William C Mobley
- Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093-0624,Correspondence to: William Mobley M.D., Department of Neurosciences, UCSD School of Medicine, 9500 Gilman Drive, GPL 355, La Jolla, CA 92093-0624;
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de Oliveira LC, de Paula Faria D. Pharmacological Approaches to the Treatment of Dementia in Down Syndrome: A Systematic Review of Randomized Clinical Studies. Molecules 2022; 27:3244. [PMID: 35630721 PMCID: PMC9147973 DOI: 10.3390/molecules27103244] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 12/20/2022] Open
Abstract
Down Syndrome (DS) is considered the most frequent form of Intellectual Disability, with important expressions of cognitive decline and early dementia. Studies on potential treatments for dementia in this population are still scarce. Thus, the current review aims to synthesize the different pharmacological approaches that already exist in the literature, which focus on improving the set of symptoms related to dementia in people with DS. A total of six studies were included, evaluating the application of supplemental antioxidant therapies, such as alpha-tocopherol; the use of acetylcholinesterase inhibitor drugs, such as donepezil; N-methyl-d-aspartate (NMDA) receptor antagonists, such as memantine; and the use of vitamin E and a fast-acting intranasal insulin. Two studies observed important positive changes related to some general functions in people with DS (referring to donepezil). In the majority of studies, the use of pharmacological therapies did not lead to improvement in the set of symptoms related to dementia, such as memory and general functionality, in the population with DS.
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Affiliation(s)
| | - Daniele de Paula Faria
- Laboratory of Nuclear Medicine (LIM43), Department of Radiology and Oncology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo 05403-911, SP, Brazil;
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Abstract
The potential contribution of pathogenic microbes to dementia-inducing disease is a subject of considerable importance. Alzheimer’s disease (AD) is a neurocognitive disease that slowly destroys brain function, leading to cognitive decline and behavioral and psychiatric disorders. The histopathology of AD is associated with neuronal loss and progressive synaptic dysfunction, accompanied by the deposition of amyloid-β (Aβ) peptide in the form of parenchymal plaques and abnormal aggregated tau protein in the form of neurofibrillary tangles. Observational, epidemiological, experimental, and pathological studies have generated evidence for the complexity and possible polymicrobial causality in dementia-inducing diseases. The AD pathogen hypothesis states that pathogens and microbes act as triggers, interacting with genetic factors to initiate the accumulation of Aβ, hyperphosphorylated tau protein (p-tau), and inflammation in the brain. Evidence indicates that Borrelia sp., HSV-1, VZV (HHV-2), HHV-6/7, oral pathogens, Chlamydophila pneumoniae, and Candida albicans can infect the central nervous system (CNS), evade the immune system, and consequently prevail in the AD brain. Researchers have made significant progress in understanding the multifactorial and overlapping factors that are thought to take part in the etiopathogenesis of dementia; however, the cause of AD remains unclear.
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Ashford JW, Schmitt FA, Bergeron MF, Bayley PJ, Clifford JO, Xu Q, Liu X, Zhou X, Kumar V, Buschke H, Dean M, Finkel SI, Hyer L, Perry G. Now is the Time to Improve Cognitive Screening and Assessment for Clinical and Research Advancement. J Alzheimers Dis 2022; 87:305-315. [DOI: 10.3233/jad-220211] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Alzheimer’s disease (AD) is the only cause of death ranked in the top ten globally without precise early diagnosis or effective means of prevention or treatment. Further, AD was identified as a pandemic [1] well before COVID-19 was dubbed a 21st century pandemic [2]. And now, with the realization of the prominent secondary impacts of pandemics, there is a growing, widespread recognition of the tremendous magnitude of the impending burden from AD in an aging world population in the coming decades [3]. This appreciation has amplified the growing and pressing need for a new, efficacious, and practical platform to detect and track cognitive decline, beginning in the preliminary (prodromal) phases of the disease, sensitively, accurately, effectively, reliably, efficiently, and remotely [4–7]. Moreover, the parallel necessity of clarifying and understanding risk factors, developing successful prevention strategies [8–17], and discovering and monitoring viable and effective treatments could all benefit from accurate and efficient screening and assessment platforms. Modern recognition of AD [18] as a common affliction of the elderly began in 1968 with a paper by Blessed, Tomlinson, & Roth [19] in which two tests, one a brief assessment of cognitive function and the other a measure of daily function, demonstrated impairment which was associated with the postmortem counts of neurofibrillary tangles, composed mainly of microtubule-associated protein-tau (tau), in the brain, though not to senile plaques, composed mainly of amyloid-β (Aβ). Even in more recent analyses, the tangles correspond with the severity of dementia more than the plaques [20, 21]. Since 1960, a plethora of cognitive tests, paper and pencil [22, 23], simple screening models [24], and computerized [25–27], have been developed to assess the dysfunction associated with AD. However, there has been limited application of Modern Test Theory, which includes Item Characteristic Curve Analysis, used in the technological development of such tools [28–31], along with widespread failure to understand the underlying AD pathological process to guide test development [32, 33]. The lack of such development has likely been a major contributor to the failure of the field to develop timely screening approaches for AD [34, 35], inaccurate assessment of the progression of AD [36], and even now, failure to find an effective approach to stopping AD.
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Affiliation(s)
- J. Wesson Ashford
- War Related Illness and Injury Study Center, VA Palo Alto HCS, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
| | - Frederick A. Schmitt
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Departments of Neurology, Psychiatry, Neurosurgery, Psychology, Behavioral Science; Sanders-Brown Center on Aging, Spinal Cord & Brain Injury Research Center, University of Kentucky, Sanders-Brown Center on Aging, Lexington, KY, USA
| | | | - Peter J. Bayley
- War Related Illness and Injury Study Center, VA Palo Alto HCS, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
| | | | - Qun Xu
- Health Management Center, Department of Neurology, Renji Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaolei Liu
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
- Yunnan Provincial Clinical Research Center for Neurological Diseases, Yunnan, China
| | - Xianbo Zhou
- Center for Alzheimer’s Research, Washington Institute of Clinical Research, Vienna, VA, USA
- Zhongze Therapeutics, Shanghai, China
| | | | - Herman Buschke
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- The Saul R. Korey Department of Neurology and Dominick P. Purpura Department of Neuroscience, Lena and Joseph Gluck Distinguished Scholar in Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Margaret Dean
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Geriatric Division, Internal Medicine, Texas Tech Health Sciences Center, Amarillo, TX, USA
| | - Sanford I. Finkel
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- University of Chicago Medical School, Chicago, IL, USA
| | - Lee Hyer
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Gateway Behavioral Health, Mercer University, School of Medicine, Savannah, GA, USA
| | - George Perry
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Brain Health Consortium, Department Biology and Chemistry, University of Texas at San Antonio, San Antonio, TX, USA
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11
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Sokolik VV, Berchenko OH, Kolyada OK, Shulga SM. Direct and Indirect Action of Liposomal Form of MIR-101 on Cells in the Experimental Model of Alzheimer’s Disease. CYTOL GENET+ 2021. [DOI: 10.3103/s0095452721060141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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12
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Lindstrom MR, Chavez MB, Gross-Sable EA, Hayden EY, Teplow DB. From reaction kinetics to dementia: A simple dimer model of Alzheimer's disease etiology. PLoS Comput Biol 2021; 17:e1009114. [PMID: 34280181 PMCID: PMC8321409 DOI: 10.1371/journal.pcbi.1009114] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 07/29/2021] [Accepted: 05/25/2021] [Indexed: 11/19/2022] Open
Abstract
Oligomers of the amyloid β-protein (Aβ) have been implicated in the pathogenesis of Alzheimer's disease (AD) through their toxicity towards neurons. Understanding the process of oligomerization may contribute to the development of therapeutic agents, but this has been difficult due to the complexity of oligomerization and the metastability of the oligomers thus formed. To understand the kinetics of oligomer formation, and how that relates to the progression of AD, we developed models of the oligomerization process. Here, we use experimental data from cell viability assays and proxies for rate constants involved in monomer-dimer-trimer kinetics to develop a simple mathematical model linking Aβ assembly to oligomer-induced neuronal degeneration. This model recapitulates the rapid growth of disease incidence with age. It does so through incorporation of age-dependent changes in rates of Aβ monomer production and elimination. The model also describes clinical progression in genetic forms of AD (e.g., Down's syndrome), changes in hippocampal volume, AD risk after traumatic brain injury, and spatial spreading of the disease due to foci in which Aβ production is elevated. Continued incorporation of clinical and basic science data into the current model will make it an increasingly relevant model system for doing theoretical calculations that are not feasible in biological systems. In addition, terms in the model that have particularly large effects are likely to be especially useful therapeutic targets.
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Affiliation(s)
- Michael R. Lindstrom
- Department of Mathematics, University of California, Los Angeles, California, United States of America
| | - Manuel B. Chavez
- Department of Mathematics, University of California, Los Angeles, California, United States of America
| | - Elijah A. Gross-Sable
- Department of Mathematics, University of California, Los Angeles, California, United States of America
| | - Eric Y. Hayden
- Department of Neurology, David Geffen School of Medicine at the University of California, Los Angeles, California, United States of America
| | - David B. Teplow
- Department of Neurology, David Geffen School of Medicine at the University of California, Los Angeles, California, United States of America
- Molecular Biology Institute and Brain Research Institute, University of California, Los Angeles, California, United States of America
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13
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The Association between Sex and Risk of Alzheimer's Disease in Adults with Down Syndrome. J Clin Med 2021; 10:jcm10132966. [PMID: 34279450 PMCID: PMC8268850 DOI: 10.3390/jcm10132966] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 06/27/2021] [Accepted: 06/29/2021] [Indexed: 11/16/2022] Open
Abstract
Background: Sex differences in the risk of Alzheimer’s Disease (AD) in adults with Down Syndrome (DS) have not been extensively investigated, and existing studies have found conflicting results. This study examined the effect of sex on the risk of AD in adults with DS, adjusted for covariates. Methods: Adults with DS were assessed longitudinally for the development of AD. Competing risk survival analyses were used to determine the effect of sex alone and after adjustment for APOE-ε4 status, ethnicity, and level of intellectual disability (ID). Results: Sex differences were significant only in adults over 60 years of age, where men with DS were 6.32 (95% CI: 2.11–18.96, p < 0.001) times more likely to develop AD compared with age-matched women with DS. Conclusions: There is an age-associated effect of sex on the risk of AD, with men over 60 years old having six times the risk of AD compared with age-matched women, independent of APOE-ε4 status, ethnicity, and level of ID.
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14
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Zwaka TP, Skowronska M, Richman R, Dejosez M. Ronin overexpression induces cerebellar degeneration in a mouse model of ataxia. Dis Model Mech 2021; 14:269269. [PMID: 34165550 PMCID: PMC8246265 DOI: 10.1242/dmm.044834] [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: 03/04/2020] [Accepted: 05/18/2021] [Indexed: 11/26/2022] Open
Abstract
Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous inherited neurodegenerative disorders characterized by progressive ataxia and cerebellar degeneration. Here, we used a mouse model to test a possible connection between SCA and Ronin (Thap11), a polyglutamine-containing transcriptional regulator encoded in a region of human chromosome 16q22.1 that has been genetically linked to SCA type 4. We report that transgenic expression of Ronin in mouse cerebellar Purkinje cells leads to detrimental loss of these cells and the development of severe ataxia as early as 10 weeks after birth. Mechanistically, we find that several SCA-causing genes harbor Ronin DNA-binding motifs and are transcriptionally deregulated in transgenic animals. In addition, ectopic expression of Ronin in embryonic stem cells significantly increases the protein level of Ataxin-1, the protein encoded by Atxn1, alterations of which cause SCA type 1. This increase is also seen in the cerebellum of transgenic animals, although the latter was not statistically significant. Hence, our data provide evidence for a link between Ronin and SCAs, and suggest that Ronin may be involved in the development of other neurodegenerative diseases. Summary: Ronin is a polyglutamine protein encoded in a region of human chromosome 16q22.1 linked to spinocerebellar ataxia type 4. Overexpression of Ronin in mouse cerebellar Purkinje cells leads to their loss and ataxia.
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Affiliation(s)
- Thomas P Zwaka
- Department for Cell, Regenerative and Developmental Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Huffington Center for Cell-Based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Marta Skowronska
- Department for Cell, Regenerative and Developmental Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Huffington Center for Cell-Based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ronald Richman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA.,Howard Hughes Medical Institute, Baylor College of Medicine, Houston, TX 77030, USA
| | - Marion Dejosez
- Department for Cell, Regenerative and Developmental Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Huffington Center for Cell-Based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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15
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Zammit MD, Tudorascu DL, Laymon CM, Hartley SL, Ellison PA, Zaman SH, Ances BM, Johnson SC, Stone CK, Sabbagh MN, Mathis CA, Klunk WE, Cohen AD, Handen BL, Christian BT. Neurofibrillary tau depositions emerge with subthreshold cerebral beta-amyloidosis in down syndrome. NEUROIMAGE-CLINICAL 2021; 31:102740. [PMID: 34182407 PMCID: PMC8252122 DOI: 10.1016/j.nicl.2021.102740] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/20/2021] [Accepted: 06/21/2021] [Indexed: 01/04/2023]
Abstract
Neurofibrillary tau deposition in Down syndrome follows the Braak staging pathology. Neurofibrillary tau emerges in individuals with very low amyloid burden. There is a short latency between the onset of amyloid and tau in Down syndrome. Elevated tau was observed in Braak stages I-II with very low amyloid burden, and in stages III-VI with greater amyloid burden.
Introduction Adults with Down syndrome are genetically predisposed to develop Alzheimer’s disease and accumulate beta-amyloid plaques (Aβ) early in life. While Aβ has been heavily studied in Down syndrome, its relationship with neurofibrillary tau is less understood. The aim of this study was to evaluate neurofibrillary tau deposition in individuals with Down syndrome with varying levels of Aβ burden. Methods A total of 161 adults with Down syndrome (mean age = 39.2 (8.50) years) and 40 healthy, non-Down syndrome sibling controls (43.2 (12.6) years) underwent T1w-MRI, [C-11]PiB and [F-18]AV-1451 PET scans. PET images were converted to units of standardized uptake value ratios (SUVrs). Aβ burden was calculated using the amyloid load metric (AβL); a measure of global Aβ burden that improves quantification from SUVrs by suppressing the nonspecific binding signal component and computing the specific Aβ signal from all Aβ-carrying voxels from the image. Regional tau was assessed using control-standardized AV-1451 SUVr. Control-standardized SUVrs were compared across Down syndrome groups of Aβ-negative (A-) (AβL < 13.3), subthreshold A+ (13.3 ≤ AβL < 20) and conventionally A+ (AβL ≥ 20) individuals. The subthreshold A + group was identified as having significantly higher Aβ burden compared to the A- group, but not high enough to satisfy a conventional A + classification. Results A large-sized association that survived adjustment for chronological age, mental age (assessed using the Peabody Picture Vocabulary Test), and imaging site was observed between AβL and AV-1451 within each Braak region (p < .05). The A + group showed significantly higher AV-1451 retention across all Braak regions compared to the A- and subthreshold A + groups (p < .05). The subthreshold A + group showed significantly higher AV-1451 retention in Braak regions I-III compared to an age-matched sample from the A- group (p < .05). Discussion These results show that even the earliest detectable Aβ accumulation in Down syndrome is accompanied by elevated tau in the early Braak stage regions. This early detection of tau can help characterize the tau accumulation phase during preclinical Alzheimer’s disease progression in Down syndrome and suggests that there may be a relatively narrow window after Aβ accumulation begins to prevent the downstream cascade of events that leads to Alzheimer’s disease.
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Affiliation(s)
- Matthew D Zammit
- University of Wisconsin-Madison Waisman Center, Madison, WI, USA; University of Wisconsin-Madison Department of Medical Physics, Madison, WI, USA.
| | - Dana L Tudorascu
- University of Pittsburgh Department of Psychiatry, Pittsburgh, PA, USA
| | - Charles M Laymon
- University of Pittsburgh Department of Radiology, Pittsburgh, PA, USA; University of Pittsburgh Department of Bioengineering, Pittsburgh, PA, USA
| | - Sigan L Hartley
- University of Wisconsin-Madison Waisman Center, Madison, WI, USA
| | - Paul A Ellison
- University of Wisconsin-Madison Department of Medical Physics, Madison, WI, USA
| | - Shahid H Zaman
- Cambridge Intellectual Disability Research Group, University of Cambridge, Cambridge, UK
| | - Beau M Ances
- Washington University in St. Louis Department of Neurology, St. Louis, MO, USA
| | - Sterling C Johnson
- University of Wisconsin-Madison Alzheimer's Disease Research Center, Madison, WI, USA
| | - Charles K Stone
- University of Wisconsin-Madison Department of Medicine, Madison, WI, USA
| | | | - Chester A Mathis
- University of Pittsburgh Department of Psychiatry, Pittsburgh, PA, USA
| | - William E Klunk
- University of Pittsburgh Department of Psychiatry, Pittsburgh, PA, USA
| | - Ann D Cohen
- University of Pittsburgh Department of Psychiatry, Pittsburgh, PA, USA
| | - Benjamin L Handen
- University of Pittsburgh Department of Psychiatry, Pittsburgh, PA, USA
| | - Bradley T Christian
- University of Wisconsin-Madison Waisman Center, Madison, WI, USA; University of Wisconsin-Madison Department of Medical Physics, Madison, WI, USA
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16
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Alves SS, Silva-Junior RMPD, Servilha-Menezes G, Homolak J, Šalković-Petrišić M, Garcia-Cairasco N. Insulin Resistance as a Common Link Between Current Alzheimer's Disease Hypotheses. J Alzheimers Dis 2021; 82:71-105. [PMID: 34024838 DOI: 10.3233/jad-210234] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Almost 115 years ago, Alois Alzheimer described Alzheimer's disease (AD) for the first time. Since then, many hypotheses have been proposed. However, AD remains a severe health public problem. The current medical approaches for AD are limited to symptomatic interventions and the complexity of this disease has led to a failure rate of approximately 99.6%in AD clinical trials. In fact, no new drug has been approved for AD treatment since 2003. These failures indicate that we are failing in mimicking this disease in experimental models. Although most studies have focused on the amyloid cascade hypothesis of AD, the literature has made clear that AD is rather a multifactorial disorder. Therefore, the persistence in a single theory has resulted in lost opportunities. In this review, we aim to present the striking points of the long scientific path followed since the description of the first AD case and the main AD hypotheses discussed over the last decades. We also propose insulin resistance as a common link between many other hypotheses.
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Affiliation(s)
- Suélen Santos Alves
- Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School - University of São Paulo (FMRP-USP), Ribeirão Preto, São Paulo, Brazil
| | - Rui Milton Patrício da Silva-Junior
- Department of Internal Medicine, Ribeirão Preto Medical School -University of São Paulo (FMRP-USP), Ribeirão Preto, São Paulo, Brazil.,Department of Physiology, Ribeirão Preto Medical School - University of São Paulo (FMRP-USP), Ribeirão Preto, São Paulo, Brazil
| | - Gabriel Servilha-Menezes
- Department of Physiology, Ribeirão Preto Medical School - University of São Paulo (FMRP-USP), Ribeirão Preto, São Paulo, Brazil
| | - Jan Homolak
- Department of Pharmacology, University of Zagreb School of Medicine, Zagreb, Croatia.,Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Melita Šalković-Petrišić
- Department of Pharmacology, University of Zagreb School of Medicine, Zagreb, Croatia.,Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Norberto Garcia-Cairasco
- Department of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School - University of São Paulo (FMRP-USP), Ribeirão Preto, São Paulo, Brazil.,Department of Physiology, Ribeirão Preto Medical School - University of São Paulo (FMRP-USP), Ribeirão Preto, São Paulo, Brazil
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17
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Pentz R, Iulita MF, Ducatenzeiler A, Videla L, Benejam B, Carmona‐Iragui M, Blesa R, Lleó A, Fortea J, Cuello AC. Nerve growth factor (NGF) pathway biomarkers in Down syndrome prior to and after the onset of clinical Alzheimer's disease: A paired CSF and plasma study. Alzheimers Dement 2021; 17:605-617. [PMID: 33226181 PMCID: PMC8043977 DOI: 10.1002/alz.12229] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 07/28/2020] [Accepted: 10/05/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND The discovery that nerve growth factor (NGF) metabolism is altered in Down syndrome (DS) and Alzheimer's disease (AD) brains offered a framework for the identification of novel biomarkers signalling NGF deregulation in AD pathology. METHODS We examined levels of NGF pathway proteins (proNGF, neuroserpin, tissue plasminogen activator [tPA], and metalloproteases [MMP]) in matched cerebrospinal fluid (CSF)/plasma samples from AD-symptomatic (DSAD) and AD-asymptomatic (aDS) individuals with DS, as well as controls (HC). RESULTS ProNGF and MMP-3 were elevated while tPA was decreased in plasma from individuals with DS. CSF from individuals with DS showed elevated proNGF, neuroserpin, MMP-3, and MMP-9. ProNGF and MMP-9 in CSF differentiated DSAD from aDS (area under the curve = 0.86, 0.87). NGF pathway markers associated with CSF amyloid beta and tau and differed by sex. DISCUSSION Brain NGF metabolism changes can be monitored in plasma and CSF, supporting relevance in AD pathology. These markers could assist staging, subtyping, or precision medicine for AD in DS.
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Affiliation(s)
- Rowan Pentz
- Department of Neurology and NeurosurgeryMcGill UniversityMontrealCanada
| | - M. Florencia Iulita
- Department of Pharmacology and TherapeuticsMcGill UniversityMontrealCanada
- Sant Pau Memory UnitDepartment of NeurologyHospital de la Santa Creu i Sant PauBiomedical Research Institute Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED)MadridSpain
| | | | - Laura Videla
- Sant Pau Memory UnitDepartment of NeurologyHospital de la Santa Creu i Sant PauBiomedical Research Institute Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED)MadridSpain
- Barcelona Down Medical CenterFundación Catalana Síndrome de DownBarcelonaSpain
| | - Bessy Benejam
- Sant Pau Memory UnitDepartment of NeurologyHospital de la Santa Creu i Sant PauBiomedical Research Institute Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED)MadridSpain
- Barcelona Down Medical CenterFundación Catalana Síndrome de DownBarcelonaSpain
| | - María Carmona‐Iragui
- Sant Pau Memory UnitDepartment of NeurologyHospital de la Santa Creu i Sant PauBiomedical Research Institute Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED)MadridSpain
- Barcelona Down Medical CenterFundación Catalana Síndrome de DownBarcelonaSpain
| | - Rafael Blesa
- Sant Pau Memory UnitDepartment of NeurologyHospital de la Santa Creu i Sant PauBiomedical Research Institute Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED)MadridSpain
| | - Alberto Lleó
- Sant Pau Memory UnitDepartment of NeurologyHospital de la Santa Creu i Sant PauBiomedical Research Institute Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED)MadridSpain
| | - Juan Fortea
- Sant Pau Memory UnitDepartment of NeurologyHospital de la Santa Creu i Sant PauBiomedical Research Institute Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED)MadridSpain
- Barcelona Down Medical CenterFundación Catalana Síndrome de DownBarcelonaSpain
| | - A. Claudio Cuello
- Department of Neurology and NeurosurgeryMcGill UniversityMontrealCanada
- Department of Pharmacology and TherapeuticsMcGill UniversityMontrealCanada
- Department of Anatomy and Cell BiologyMcGill UniversityMontrealCanada
- Department of PharmacologyOxford UniversityOxfordUK
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18
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Zammit MD, Laymon CM, Tudorascu DL, Hartley SL, Piro‐Gambetti B, Johnson SC, Stone CK, Mathis CA, Zaman SH, Klunk WE, Handen BL, Cohen AD, Christian BT. Patterns of glucose hypometabolism in Down syndrome resemble sporadic Alzheimer's disease except for the putamen. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 12:e12138. [PMID: 33490360 PMCID: PMC7804861 DOI: 10.1002/dad2.12138] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/09/2020] [Accepted: 11/09/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Adults with Down syndrome (DS) are predisposed to Alzheimer's disease (AD) and the relationship between cognition and glucose metabolism in this population has yet to be evaluated. METHODS Adults with DS (N = 90; mean age [standard deviation] = 38.0 [8.30] years) underwent [C-11]Pittsburgh compound B (PiB) and [F-18]fluorodeoxyglucose (FDG) positron emission tomography scans. Associations among amyloid beta (Aβ), FDG, and measures of cognition were explored. Interregional FDG metabolic connectivity was assessed to compare cognitively stable DS and mild cognitive impairment/AD (MCI-DS/AD). RESULTS Negative associations between Aβ and FDG were evident in regions affected in sporadic AD. A positive association was observed in the putamen, which is the brain region showing the earliest increases in Aβ deposition. Both Aβ and FDG were associated with measures of cognition, and metabolic connectivity distinguished cases of MCI-DS/AD from cognitively stable DS. DISCUSSION Associations among Aβ, FDG, and cognition reveal that neurodegeneration in DS resembles sporadic AD with the exception of the putamen, highlighting the usefulness of FDG in monitoring neurodegeneration in DS.
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Affiliation(s)
| | - Charles M. Laymon
- Department of Radiology, University of PittsburghPittsburghPennsylvaniaUSA
- Department of Bioengineering, University of PittsburghPittsburghPennsylvaniaUSA
| | - Dana L. Tudorascu
- Department of Psychiatry, University of PittsburghPittsburghPennsylvaniaUSA
| | - Sigan L. Hartley
- University of Wisconsin‐Madison Waisman CenterMadisonWisconsinUSA
| | | | - Sterling C. Johnson
- University of Wisconsin‐Madison Alzheimer's Disease Research CenterMadisonWisconsinUSA
| | - Charles K. Stone
- Department of Medicine, University of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Chester A. Mathis
- Department of Radiology, University of PittsburghPittsburghPennsylvaniaUSA
| | - Shahid H. Zaman
- University of Cambridge Intellectual Disability Research GroupCambridgeUK
| | - William E. Klunk
- Department of Psychiatry, University of PittsburghPittsburghPennsylvaniaUSA
| | - Benjamin L. Handen
- Department of Psychiatry, University of PittsburghPittsburghPennsylvaniaUSA
| | - Ann D. Cohen
- Department of Psychiatry, University of PittsburghPittsburghPennsylvaniaUSA
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19
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Zammit MD, Tudorascu DL, Laymon CM, Hartley SL, Zaman SH, Ances BM, Johnson SC, Stone CK, Mathis CA, Klunk WE, Cohen AD, Handen BL, Christian BT. PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome. Neuroimage 2021; 228:117728. [PMID: 33421595 PMCID: PMC7953340 DOI: 10.1016/j.neuroimage.2021.117728] [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: 10/29/2020] [Revised: 12/14/2020] [Accepted: 12/27/2020] [Indexed: 12/17/2022] Open
Abstract
Introduction: Adults with Down syndrome (DS) are predisposed to Alzheimer’s disease (AD) and reveal early amyloid beta (Aβ) pathology in the brain. Positron emission tomography (PET) provides an in vivo measure of Aβ throughout the AD continuum. Due to the high prevalence of AD in DS, there is need for longitudinal imaging studies of Aβ to better characterize the natural history of Aβ accumulation, which will aid in the staging of this population for clinical trials aimed at AD treatment and prevention. Methods: Adults with DS (N = 79; Mean age (SD) = 42.7 (7.28) years) underwent longitudinal [C-11]Pittsburgh compound B (PiB) PET. Global Aβ burden was quantified using the amyloid load metric (AβL). Modeled PiB images were generated from the longitudinal AβL data to visualize which regions are most susceptible to Aβ accumulation in DS. AβL change was evaluated across Aβ(−), Aβ-converter, and Aβ(+) groups to assess longitudinal Aβ trajectories during different stages of AD-pathology progression. AβL change values were used to identify Aβ-accumulators within the Aβ(−) group prior to reaching the Aβ(+) threshold (previously reported as 20 AβL) which would have resulted in an Aβ-converter classification. With knowledge of trajectories of Aβ(−) accumulators, a new cutoff of Aβ(+) was derived to better identify subthreshold Aβ accumulation in DS. Estimated sample sizes necessary to detect a 25% reduction in annual Aβ change with 80% power (alpha 0.01) were determined for different groups of Aβ-status. Results: Modeled PiB images revealed the striatum, parietal cortex and precuneus as the regions with earliest detected Aβ accumulation in DS. The Aβ(−) group had a mean AβL change of 0.38 (0.58) AβL/year, while the Aβ-converter and Aβ(+) groups had change of 2.26 (0.66) and 3.16 (1.34) AβL/year, respectively. Within the Aβ(−) group, Aβ-accumulators showed no significant difference in AβL change values when compared to Aβ-converter and Aβ(+) groups. An Aβ(+) cutoff for subthreshold Aβ accumulation was derived as 13.3 AβL. The estimated sample size necessary to detect a 25% reduction in Aβ was 79 for Aβ(−) accumulators and 59 for the Aβ-converter/Aβ(+) group in DS. Conclusion: Longitudinal AβL changes were capable of distinguishing Aβ accumulators from non-accumulators in DS. Longitudinal imaging allowed for identification of subthreshold Aβ accumulation in DS during the earliest stages of AD-pathology progression. Detection of active Aβ deposition evidenced by subthreshold accumulation with longitudinal imaging can identify DS individuals at risk for AD development at an earlier stage.
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Affiliation(s)
- Matthew D Zammit
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Avenue, Madison, WI 53705, United States.
| | - Dana L Tudorascu
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States.
| | - Charles M Laymon
- University of Pittsburgh, Department of Radiology, Pittsburgh, PA, United States; University of Pittsburgh, Department of Bioengineering, Pittsburgh, PA, United States.
| | - Sigan L Hartley
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Avenue, Madison, WI 53705, United States.
| | - Shahid H Zaman
- Cambridge Intellectual Disability Research Group, University of Cambridge, Cambridge, United Kingdom.
| | - Beau M Ances
- Washington University in St. Louis Department of Neurology, St. Louis, MO, United States.
| | - Sterling C Johnson
- University of Wisconsin-Madison, Alzheimer's Disease Research Center, Madison, WI, United States.
| | - Charles K Stone
- University of Wisconsin-Madison, Department of Medicine, Madison, WI, United States.
| | - Chester A Mathis
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States.
| | - William E Klunk
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States
| | - Ann D Cohen
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States.
| | - Benjamin L Handen
- University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States.
| | - Bradley T Christian
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Avenue, Madison, WI 53705, United States.
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20
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Gomes AR, Sangani NB, Fernandes TG, Diogo MM, Curfs LMG, Reutelingsperger CP. Extracellular Vesicles in CNS Developmental Disorders. Int J Mol Sci 2020; 21:E9428. [PMID: 33322331 PMCID: PMC7763819 DOI: 10.3390/ijms21249428] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 12/08/2020] [Accepted: 12/09/2020] [Indexed: 12/11/2022] Open
Abstract
The central nervous system (CNS) is the most complex structure in the body, consisting of multiple cell types with distinct morphology and function. Development of the neuronal circuit and its function rely on a continuous crosstalk between neurons and non-neural cells. It has been widely accepted that extracellular vesicles (EVs), mainly exosomes, are effective entities responsible for intercellular CNS communication. They contain membrane and cytoplasmic proteins, lipids, non-coding RNAs, microRNAs and mRNAs. Their cargo modulates gene and protein expression in recipient cells. Several lines of evidence indicate that EVs play a role in modifying signal transduction with subsequent physiological changes in neurogenesis, gliogenesis, synaptogenesis and network circuit formation and activity, as well as synaptic pruning and myelination. Several studies demonstrate that neural and non-neural EVs play an important role in physiological and pathological neurodevelopment. The present review discusses the role of EVs in various neurodevelopmental disorders and the prospects of using EVs as disease biomarkers and therapeutics.
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Affiliation(s)
- Ana Rita Gomes
- Department of Bioengineering and IBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal; (A.R.G.); (T.G.F.); (M.M.D.)
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina da Universidade de Lisboa, 1649-028 Lisboa, Portugal
- Department of Biochemistry, Maastricht University, Cardiovascular Research Institute Maastricht, 6200 MD Maastricht, The Netherlands;
- GKC-Rett Expertise Centre, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands;
| | - Nasim Bahram Sangani
- Department of Biochemistry, Maastricht University, Cardiovascular Research Institute Maastricht, 6200 MD Maastricht, The Netherlands;
- GKC-Rett Expertise Centre, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands;
| | - Tiago G. Fernandes
- Department of Bioengineering and IBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal; (A.R.G.); (T.G.F.); (M.M.D.)
| | - M. Margarida Diogo
- Department of Bioengineering and IBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal; (A.R.G.); (T.G.F.); (M.M.D.)
| | - Leopold M. G. Curfs
- GKC-Rett Expertise Centre, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands;
| | - Chris P. Reutelingsperger
- Department of Biochemistry, Maastricht University, Cardiovascular Research Institute Maastricht, 6200 MD Maastricht, The Netherlands;
- GKC-Rett Expertise Centre, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands;
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21
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Screening of Cognitive Changes in Adults with Intellectual Disabilities: A Systematic Review. Brain Sci 2020; 10:brainsci10110848. [PMID: 33198271 PMCID: PMC7698112 DOI: 10.3390/brainsci10110848] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/03/2020] [Accepted: 11/05/2020] [Indexed: 11/30/2022] Open
Abstract
Background and Aims: Screening and assessment of cognitive changes in adults with Intellectual Disabilities (ID), mainly Down Syndrome (DS), is crucial to offer appropriate services to their needs. We present a systematic review of the existing instruments assessing dementia, aiming to support researchers and clinicians’ best practice. Methods: Searches were carried out in the databases Web of Science; PubMed; PsycINFO in March 2019 and updated in October 2020. Studies were selected and examined if they: (1) focused on assessing age-related cognitive changes in persons with ID; (2) included adults and/or older adults; (3) included scales and batteries for cognitive assessment. Results: Forty-eight cross-sectional studies and twenty-seven longitudinal studies were selected representing a total sample of 6451 participants (4650 DS and 1801 with other ID). In those studies, we found 39 scales, questionnaires, and inventories, and 13 batteries for assessing cognitive and behavioural changes in adults with DS and other ID. Conclusion: The most used instrument completed by an informant or carer was the Dementia Questionnaire for Learning Disabilities (DLD), and its previous versions. We discuss the strengths and limitations of the instruments and outline recommendations for future use.
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22
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Rosas HD, Hsu E, Mercaldo ND, Lai F, Pulsifer M, Keator D, Brickman AM, Price J, Yassa M, Hom C, Krinsky‐McHale SJ, Silverman W, Lott I, Schupf N. Alzheimer-related altered white matter microstructural integrity in Down syndrome: A model for sporadic AD? ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12040. [PMID: 33204811 PMCID: PMC7648416 DOI: 10.1002/dad2.12040] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/14/2020] [Accepted: 02/19/2020] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Virtually all adults with Down syndrome (DS) develop Alzheimer's disease (AD)-associated neuropathology by the age of 40, with risk for dementia increasing from the early 50s. White matter (WM) pathology has been reported in sporadic AD, including early demyelination, microglial activation, loss of oligodendrocytes and reactive astrocytes but has not been extensively studied in the at-risk DS population. METHODS Fifty-six adults with DS (35 cognitively stable adults, 11 with mild cognitive impairment, 10 with dementia) underwent diffusion-weighted magnetic resonance imaging (MRI), amyloid imaging, and had assessments of cognition and functional abilities using tasks appropriate for persons with intellectual disability. RESULTS Early changes in late-myelinating and relative sparing of early-myelinating pathways, consistent with the retrogenesis model proposed for sporadic AD, were associated with AD-related cognitive deficits and with regional amyloid deposition. DISCUSSION Our findings suggest that quantification of WM changes in DS could provide a promising and clinically relevant biomarker for AD clinical onset and progression.
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Affiliation(s)
- H. Diana Rosas
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of RadiologyAthinoula Martinos CenterMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Eugene Hsu
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of RadiologyAthinoula Martinos CenterMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Nathaniel D. Mercaldo
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Florence Lai
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Margaret Pulsifer
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - David Keator
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Adam M. Brickman
- G. H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Julie Price
- Department of RadiologyAthinoula Martinos CenterMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Michael Yassa
- Department of Neurobiology and BehaviorUniversity of CaliforniaCalifornia, USAIrvine
| | - Christy Hom
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | | | - Wayne Silverman
- Kennedy Krieger InstituteJohns Hopkins University School of Medicine, BaltimoreMarylandUSA
- Department of PediatricsIrvine Medical CenterUniversity of CaliforniaIrvineCaliforniaUSA
| | - Ira Lott
- Department of PediatricsIrvine Medical CenterUniversity of CaliforniaIrvineCaliforniaUSA
| | - Nicole Schupf
- G. H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
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23
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Rafii MS, Ances BM, Schupf N, Krinsky‐McHale SJ, Mapstone M, Silverman W, Lott I, Klunk W, Head E, Christian B, Lai F, Rosas HD, Zaman S, Petersen ME, Strydom A, Fortea J, Handen B, O'Bryant S. The AT(N) framework for Alzheimer's disease in adults with Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12062. [PMID: 33134477 PMCID: PMC7588820 DOI: 10.1002/dad2.12062] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/04/2020] [Indexed: 12/15/2022]
Abstract
The National Institute on Aging in conjunction with the Alzheimer's Association (NIA-AA) recently proposed a biological framework for defining the Alzheimer's disease (AD) continuum. This new framework is based upon the key AD biomarkers (amyloid, tau, neurodegeneration, AT[N]) instead of clinical symptoms and represents the latest understanding that the pathological processes underlying AD begin decades before the manifestation of symptoms. By using these same biomarkers, individuals with Down syndrome (DS), who are genetically predisposed to developing AD, can also be placed more precisely along the AD continuum. The A/T(N) framework is therefore thought to provide an objective manner by which to select and enrich samples for clinical trials. This new framework is highly flexible and allows the addition of newly confirmed AD biomarkers into the existing AT(N) groups. As biomarkers for other pathological processes are validated, they can also be added to the AT(N) classification scheme, which will allow for better characterization and staging of AD in DS. These biological classifications can then be merged with clinical staging for an examination of factors that impact the biological and clinical progression of the disease. Here, we leverage previously published guidelines for the AT(N) framework to generate such a plan for AD among adults with DS.
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Affiliation(s)
- Michael S. Rafii
- Alzheimer's Therapeutic Research Institute (ATRI)Keck School of MedicineUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Beau M. Ances
- Center for Advanced Medicine NeuroscienceWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain/G.H. Sergievsky CenterColumbia University Irving Medical CenterNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyNeurological Institute of New York, Columbia University Irving Medical CenterNew YorkNew YorkUSA
- Department of PsychiatryColumbia University Medical CenterNew YorkNew YorkUSA
| | - Sharon J. Krinsky‐McHale
- Department of PsychologyNYS Institute for Basic Research in Developmental DisabilitiesStaten IslandNew YorkUSA
| | - Mark Mapstone
- Department of NeurologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Wayne Silverman
- Department of PediatricsSchool of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Ira Lott
- Department of PediatricsSchool of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - William Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Elizabeth Head
- Department of PathologyGillespie Neuroscience Research Facility, University of CaliforniaIrvineCaliforniaUSA
| | - Brad Christian
- Department of Medical Physics and PsychiatryUniversity of Wisconsin MadisonMadisonWisconsinUSA
| | - Florence Lai
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - H. Diana Rosas
- Departments of Neurology and RadiologyMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Shahid Zaman
- Department of PsychiatrySchool of Clinical MedicineUniversity of CambridgeCambridgeUK
- Cambridgeshire and Peterborough NHS Foundation TrustFulbourn HospitalCambridgeUK
| | - Melissa E. Petersen
- Department of Family Medicine and Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental SciencesInstitute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Juan Fortea
- Sant Pau Memory UnitDepartment of NeurologyHospital de la Santa Creu i Sant PauBiomedical Research Institute Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Benjamin Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Sid O'Bryant
- Institute for Translational Research and Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
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24
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Serneels L, T'Syen D, Perez-Benito L, Theys T, Holt MG, De Strooper B. Modeling the β-secretase cleavage site and humanizing amyloid-beta precursor protein in rat and mouse to study Alzheimer's disease. Mol Neurodegener 2020; 15:60. [PMID: 33076948 PMCID: PMC7574558 DOI: 10.1186/s13024-020-00399-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 08/18/2020] [Indexed: 12/31/2022] Open
Abstract
Background Three amino acid differences between rodent and human APP affect medically important features, including β-secretase cleavage of APP and Aβ peptide aggregation (De Strooper et al., EMBO J 14:4932-38, 1995; Ueno et al., Biochemistry 53:7523-30, 2014; Bush, 2003, Trends Neurosci 26:207–14). Most rodent models for Alzheimer’s disease (AD) are, therefore, based on the human APP sequence, expressed from artificial mini-genes randomly inserted in the rodent genome. While these models mimic rather well various biochemical aspects of the disease, such as Aβ-aggregation, they are also prone to overexpression artifacts and to complex phenotypical alterations, due to genes affected in or close to the insertion site(s) of the mini-genes (Sasaguri et al., EMBO J 36:2473-87, 2017; Goodwin et al., Genome Res 29:494-505, 2019). Knock-in strategies which introduce clinical mutants in a humanized endogenous rodent APP sequence (Saito et al., Nat Neurosci 17:661-3, 2014) represent useful improvements, but need to be compared with appropriate humanized wildtype (WT) mice. Methods Computational modelling of the human β-CTF bound to BACE1 was used to study the differential processing of rodent and human APP. We humanized the three pivotal residues we identified G676R, F681Y and R684H (labeled according to the human APP770 isoform) in the mouse and rat genomes using a CRISPR-Cas9 approach. These new models, termed mouse and rat Apphu/hu, express APP from the endogenous promotor. We also introduced the early-onset familial Alzheimer’s disease (FAD) mutation M139T into the endogenous Rat Psen1 gene. Results We show that introducing these three amino acid substitutions into the rodent sequence lowers the affinity of the APP substrate for BACE1 cleavage. The effect on β-secretase processing was confirmed as both humanized rodent models produce three times more (human) Aβ compared to the original WT strain. These models represent suitable controls, or starting points, for studying the effect of transgenes or knock-in mutations on APP processing (Saito et al., Nat Neurosci 17:661-3, 2014). We introduced the early-onset familial Alzheimer’s disease (FAD) mutation M139T into the endogenous Rat Psen1 gene and provide an initial characterization of Aβ processing in this novel rat AD model. Conclusion The different humanized APP models (rat and mouse) expressing human Aβ and PSEN1 M139T are valuable controls to study APP processing in vivo allowing the use of a human Aβ ELISA which is more sensitive than the equivalent system for rodents. These animals will be made available to the research community.
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Affiliation(s)
- Lutgarde Serneels
- Centre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium.,Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Dries T'Syen
- Centre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium.,Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Laura Perez-Benito
- Computational Chemistry, Janssen Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium
| | - Tom Theys
- Department of Neurosciences, Research Group Experimental Neurosurgery and Neuroanatomy, KU Leuven, Leuven, Belgium
| | - Matthew G Holt
- Centre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium.,Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Bart De Strooper
- Centre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium. .,Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium. .,UK Dementia Research Institute at UCL, University College London, London, UK.
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25
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Martini AC, Helman AM, McCarty KL, Lott IT, Doran E, Schmitt FA, Head E. Distribution of microglial phenotypes as a function of age and Alzheimer's disease neuropathology in the brains of people with Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12113. [PMID: 33088896 PMCID: PMC7560512 DOI: 10.1002/dad2.12113] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 09/02/2020] [Indexed: 12/23/2022]
Abstract
INTRODUCTION Microglial cells play an important role in the development of Alzheimer's disease (AD). People with Down syndrome (DS) inevitably develop AD neuropathology (DSAD) by 40 years of age. We characterized the distribution of different microglial phenotypes in the brains of people with DS and DSAD. METHODS Autopsy tissue from the posterior cingulate cortex (PCC) from people with DS, DSAD, and neurotypical controls was immunostained with the microglial marker Iba1 to assess five microglia morphological types. RESULTS Individuals with DS have more hypertrophic microglial cells in their white matter. In the gray matter, individuals with DSAD had significantly fewer ramified microglia and more dystrophic microglia than controls and the younger individuals with DS. The DSAD group also exhibited more rod-shaped and amoeboid cells than the AD group. DISCUSSION Individuals with DS and DSAD show a microglial phenotype that distinguishes them from non-DS controls.
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Affiliation(s)
- Alessandra C. Martini
- Department of Pathology and Laboratory MedicineUniversity of California, IrvineIrvineCaliforniaUSA
| | - Alex M. Helman
- Department of Molecular and Cellular BiochemistryUniversity of KentuckyLexingtonKentuckyUSA
- Sanders Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | - Katie L. McCarty
- Sanders Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | - Ira T. Lott
- Department of PediatricsUniversity of California, IrvineIrvineCaliforniaUSA
- Department of NeurologyUniversity of California, IrvineIrvineCaliforniaUSA
| | - Eric Doran
- Department of PediatricsUniversity of California, IrvineIrvineCaliforniaUSA
| | - Frederick A. Schmitt
- Sanders Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of NeurologyUniversity of KentuckyLexingtonKentuckyUSA
| | - Elizabeth Head
- Department of Pathology and Laboratory MedicineUniversity of California, IrvineIrvineCaliforniaUSA
- Department of NeurologyUniversity of KentuckyLexingtonKentuckyUSA
- Department of Pharmacology and Nutritional SciencesUniversity of KentuckyLexingtonKentuckyUSA
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26
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Raha-Chowdhury R, Henderson JW, Raha AA, Vuono R, Bickerton A, Jones E, Fincham R, Allinson K, Holland A, Zaman SH. Choroid Plexus Acts as Gatekeeper for TREM2, Abnormal Accumulation of ApoE, and Fibrillary Tau in Alzheimer's Disease and in Down Syndrome Dementia. J Alzheimers Dis 2020; 69:91-109. [PMID: 30909239 PMCID: PMC6598012 DOI: 10.3233/jad-181179] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background: Genetic factors that influence Alzheimer’s disease (AD) risk include mutations in TREM2 and allelic variants of Apolipoprotein E, influencing AD pathology in the general population and in Down syndrome (DS). Evidence shows that dysfunction of the choroid plexus may compromise the blood-cerebrospinal fluid (CSF) barrier, altering secretary, transport and immune function that can affect AD pathology. Objective: To investigate the genotype and phenotype of DS individuals in relation to choroid plexus damage and blood-CSF barrier leakage to identify markers that could facilitate early diagnosis of AD in DS. Methods: To assess allele frequency and haplotype associations ApoE, Tau, TREM2, and HLA-DR were analyzed by SNP analysis in DS participants (n = 47) and controls (n = 50). The corresponding plasma protein levels were measured by ELISA. Postmortem brains from DS, AD, and age-matched controls were analyzed by immunohistochemistry. Results: Haplotype analysis showed that individuals with Tau H1/H1 and ApoEɛ4 genotypes were more prevalent among DS participants with an earlier diagnosis of dementia (17%) compared to H1/H2 haplotypes (6%). Plasma TREM2 levels decreased whereas phospho-tau levels increased with age in DS. In AD and DS brain, insoluble tau and ApoE were found to accumulate in the choroid plexus. Conclusion: Accumulation of tau and ApoE in the choroid plexus may increase the oligomerization rate of Aβ42 and impair tau trafficking, leading to AD pathology. We have identified a high-risk haplotype: ApoEɛ4, Tau/H1, and TREM2/T, that manifests age-related changes potentially opening a window for treatment many years prior to the manifestation of the AD dementia.
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Affiliation(s)
- Ruma Raha-Chowdhury
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, Cambridge, UK.,John van Geest Centre for Brain Repair, Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK
| | - James W Henderson
- John van Geest Centre for Brain Repair, Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK
| | - Animesh Alexander Raha
- John van Geest Centre for Brain Repair, Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK
| | - Romina Vuono
- John van Geest Centre for Brain Repair, Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK
| | - Anastasia Bickerton
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, Cambridge, UK
| | - Elizabeth Jones
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, Cambridge, UK
| | - Robert Fincham
- Clinical Pathology, Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Kieren Allinson
- Clinical Pathology, Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Anthony Holland
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, Cambridge, UK
| | - Shahid H Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, Cambridge, UK.,Cambridgeshire and Peterborough Foundation NHS Trust, Cambridge, UK
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27
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Ptomey LT, Szabo-Reed AN, Martin LE, Mayo MS, Washburn RA, Gorczyca AM, Lepping RJ, Lee P, Forsha DE, Sherman JR, Danon JC, Donnelly JE. The promotion of physical activity for the prevention of Alzheimer's disease in adults with Down Syndrome: Rationale and design for a 12 Month randomized trial. Contemp Clin Trials Commun 2020; 19:100607. [PMID: 32642594 PMCID: PMC7334572 DOI: 10.1016/j.conctc.2020.100607] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 06/16/2020] [Accepted: 06/28/2020] [Indexed: 11/23/2022] Open
Abstract
Nearly all individuals with Down Syndrome (DS) display pathology associated with Alzheimer's disease (AD) beginning as early as age 30. Previous research in typically developed adults suggests that increased moderate-to-vigorous physical activity (MVPA) may improve cognitive function and protect against age-related structural and functional changes in the brain; however, the potential impact of increased MVPA on the development of AD in adults with DS has not been evaluated. Despite the potential positive impact of MVPA on cognition and AD risk, participation in MVPA among young adults with DS is low. The limited research evaluating strategies for increasing MVPA in adults with DS has been unsuccessful in increasing MVPA. Results from our preliminary investigation where we remotely delivered real-time MVPA, led by a trained health educator, to groups of adults with DS in their homes via video conferencing on a tablet computer demonstrated high attendance, increased MVPA during group sessions, and improvements in cognitive function. However, the sustainability, impact on total daily MVPA, optimal session frequency, and potential impacts on cognitive function and brain health of remotely delivered group MVPA sessions in adults with DS are unknown. Therefore, we will conduct a trial in 80 non-demented adults with DS to determine the feasibility and potential efficacy of remotely delivered group MVPA sessions to increase daily MVPA, relative to a usual care control. Secondarily we will assess the impact of MVPA on cardiovascular fitness, quality of life, cognitive function and brain parameters related to AD. NCT REGISTRATION NCT04048759.
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Affiliation(s)
- Lauren T. Ptomey
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Amanda N. Szabo-Reed
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Laura E. Martin
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA
- Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Matthew S. Mayo
- Department of Biostatistics & Data Science, University of Kansas Medical Center, USA
| | - Richard A. Washburn
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Anna M. Gorczyca
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Rebecca J. Lepping
- Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Phill Lee
- Department of Radiology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Daniel E. Forsha
- Ward Family Heart Center, Children's Mercy Kansas City, Kansas City, MO, USA
| | - Joseph R. Sherman
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Jessica C. Danon
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Joseph E. Donnelly
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
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28
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Nitschke L, Tewari A, Coffin SL, Xhako E, Pang K, Gennarino VA, Johnson JL, Blanco FA, Liu Z, Zoghbi HY. miR760 regulates ATXN1 levels via interaction with its 5' untranslated region. Genes Dev 2020; 34:1147-1160. [PMID: 32763910 PMCID: PMC7462065 DOI: 10.1101/gad.339317.120] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 07/07/2020] [Indexed: 01/24/2023]
Abstract
Identifying modifiers of dosage-sensitive genes involved in neurodegenerative disorders is imperative to discover novel genetic risk factors and potential therapeutic entry points. In this study, we focus on Ataxin-1 (ATXN1), a dosage-sensitive gene involved in the neurodegenerative disease spinocerebellar ataxia type 1 (SCA1). While the precise maintenance of ATXN1 levels is essential to prevent disease, the mechanisms that regulate ATXN1 expression remain largely unknown. We demonstrate that ATXN1's unusually long 5' untranslated region (5' UTR) negatively regulates its expression via posttranscriptional mechanisms. Based on recent reports that microRNAs (miRNAs) can interact with both 3' and 5' UTRs to regulate their target genes, we identify miR760 as a negative regulator that binds to a conserved site in ATXN1's 5' UTR to induce RNA degradation and translational inhibition. We found that delivery of Adeno-associated virus (AAV)-expressing miR760 in the cerebellum reduces ATXN1 levels in vivo and mitigates motor coordination deficits in a mouse model of SCA1. These findings provide new insights into the regulation of ATXN1 levels, present additional evidence for miRNA-mediated gene regulation via 5' UTR binding, and raise the possibility that noncoding mutations in the ATXN1 locus may act as risk factors for yet to be discovered progressive ataxias.
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Affiliation(s)
- Larissa Nitschke
- Program in Integrative Molecular and Biomedical Sciences, Baylor College of Medicine, Houston, Texas 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas 77030, USA
| | - Ambika Tewari
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas 77030, USA
| | - Stephanie L Coffin
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas 77030, USA
- Program in Genetics and Genomics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Eder Xhako
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas 77030, USA
- Program in Genetics and Genomics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Kaifang Pang
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas 77030, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Vincenzo A Gennarino
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas 77030, USA
| | - Jennifer L Johnson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas 77030, USA
| | - Francisco A Blanco
- Program in Integrative Molecular and Biomedical Sciences, Baylor College of Medicine, Houston, Texas 77030, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Zhandong Liu
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas 77030, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Huda Y Zoghbi
- Program in Integrative Molecular and Biomedical Sciences, Baylor College of Medicine, Houston, Texas 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas 77030, USA
- Program in Genetics and Genomics, Baylor College of Medicine, Houston, Texas 77030, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, USA
- Howard Hughes Medical Institute, Houston, Texas 77030, USA
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López-Gambero AJ, Sanjuan C, Serrano-Castro PJ, Suárez J, Rodríguez de Fonseca F. The Biomedical Uses of Inositols: A Nutraceutical Approach to Metabolic Dysfunction in Aging and Neurodegenerative Diseases. Biomedicines 2020; 8:biomedicines8090295. [PMID: 32825356 PMCID: PMC7554709 DOI: 10.3390/biomedicines8090295] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 08/17/2020] [Accepted: 08/18/2020] [Indexed: 02/05/2023] Open
Abstract
Inositols are sugar-like compounds that are widely distributed in nature and are a part of membrane molecules, participating as second messengers in several cell-signaling processes. Isolation and characterization of inositol phosphoglycans containing myo- or d-chiro-inositol have been milestones for understanding the physiological regulation of insulin signaling. Other functions of inositols have been derived from the existence of multiple stereoisomers, which may confer antioxidant properties. In the brain, fluctuation of inositols in extracellular and intracellular compartments regulates neuronal and glial activity. Myo-inositol imbalance is observed in psychiatric diseases and its use shows efficacy for treatment of depression, anxiety, and compulsive disorders. Epi- and scyllo-inositol isomers are capable of stabilizing non-toxic forms of β-amyloid proteins, which are characteristic of Alzheimer’s disease and cognitive dementia in Down’s syndrome, both associated with brain insulin resistance. However, uncertainties of the intrinsic mechanisms of inositols regarding their biology are still unsolved. This work presents a critical review of inositol actions on insulin signaling, oxidative stress, and endothelial dysfunction, and its potential for either preventing or delaying cognitive impairment in aging and neurodegenerative diseases. The biomedical uses of inositols may represent a paradigm in the industrial approach perspective, which has generated growing interest for two decades, accompanied by clinical trials for Alzheimer’s disease.
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Affiliation(s)
- Antonio J. López-Gambero
- Departamento de Biología Celular, Genética y Fisiología, Campus de Teatinos s/n, Universidad de Málaga, Andalucia Tech, 29071 Málaga, Spain;
- UGC Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Regional de Málaga, 29010 Málaga, Spain
| | | | - Pedro Jesús Serrano-Castro
- UGC Neurología, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Regional de Málaga, 29010 Málaga, Spain;
| | - Juan Suárez
- UGC Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Regional de Málaga, 29010 Málaga, Spain
- Correspondence: (J.S.); (F.R.d.F.); Tel.: +34-952614012 (J.S.)
| | - Fernando Rodríguez de Fonseca
- UGC Salud Mental, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Universitario Regional de Málaga, 29010 Málaga, Spain
- Correspondence: (J.S.); (F.R.d.F.); Tel.: +34-952614012 (J.S.)
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Abstract
Individuals with Down syndrome (DS) are at high risk for developing Alzheimer's disease (AD) pathology and this has provided significant insights into our understanding of the genetic basis of AD. The present review summarizes recent clinical, neuropathologic, imaging, and fluid biomarker studies of AD in DS (DSAD), highlighting the striking similarities, as well as some notable differences, between DSAD and the more common late-onset form of AD (LOAD) in the general population, as well as the much rarer, autosomal-dominant form of AD (ADAD). There has been significant progress in our understanding of the natural history of AD biomarkers in DS and their relationship to clinically meaningful changes. Additional work is needed to clearly define the continuum of AD that has been described in the general population, such as the preclinical, prodromal, and dementia stages of AD. Multiple therapeutic approaches, including those targeting not only β-amyloid but also tau and the amyloid precursor protein itself, require consideration. Recent developments in the field are presented within the context of such efforts to conduct clinical trials to treat and potentially prevent AD in DS.
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Affiliation(s)
- Michael S Rafii
- Alzheimer's Therapeutic Research Institute (ATRI), Keck School of Medicine, University of Southern California, 9860 Mesa Rim Road, San Diego, CA, 92121, USA.
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31
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Petersen ME, Zhang F, Schupf N, Krinsky‐McHale SJ, Hall J, Mapstone M, Cheema A, Silverman W, Lott I, Rafii MS, Handen B, Klunk W, Head E, Christian B, Foroud T, Lai F, Rosas HD, Zaman S, Ances BM, Wang M, Tycko B, Lee JH, O'Bryant S. Proteomic profiles for Alzheimer's disease and mild cognitive impairment among adults with Down syndrome spanning serum and plasma: An Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS) study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12039. [PMID: 32626817 PMCID: PMC7327223 DOI: 10.1002/dad2.12039] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 04/02/2020] [Accepted: 04/06/2020] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Previously generated serum and plasma proteomic profiles were examined among adults with Down syndrome (DS) to determine whether these profiles could discriminate those with mild cognitive impairment (MCI-DS) and Alzheimer's disease (DS-AD) from those cognitively stable (CS). METHODS Data were analyzed on n = 305 (n = 225 CS; n = 44 MCI-DS; n = 36 DS-AD) enrolled in the Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS). RESULTS Distinguishing MCI-DS from CS, the serum profile produced an area under the curve (AUC) = 0.95 (sensitivity [SN] = 0.91; specificity [SP] = 0.99) and an AUC = 0.98 (SN = 0.96; SP = 0.97) for plasma when using an optimized cut-off score. Distinguishing DS-AD from CS, the serum profile produced an AUC = 0.93 (SN = 0.81; SP = 0.99) and an AUC = 0.95 (SN = 0.86; SP = 1.0) for plasma when using an optimized cut-off score. AUC remained unchanged to slightly improved when age and sex were included. Eotaxin3, interleukin (IL)-10, C-reactive protein, IL-18, serum amyloid A , and FABP3 correlated fractions at r2 > = 0.90. DISCUSSION Proteomic profiles showed excellent detection accuracy for MCI-DS and DS-AD.
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Affiliation(s)
- Melissa E. Petersen
- Department of Family Medicine Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Fan Zhang
- Vermont Genetics NetworkUniversity of VermontBurlingtonVermontUSA
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia University Irving Medical CenterNew YorkNew YorkUSA
- G.H. Sergievsky CenterColumbia University Irving Medical CenterNew YorkNew YorkUSA
- Department of Epidemiology, Mailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyNeurological InstituteColumbia University Irving Medical CenterNew YorkNew YorkUSA
- Department of PsychiatryColumbia University Medical CenterNew YorkNew YorkUSA
| | - Sharon J. Krinsky‐McHale
- Department of PsychologyNYS Institute for Basic Research in Developmental DisabilitiesStaten IslandNew YorkUSA
| | - James Hall
- Department of Pharmacology and Neuroscience Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Mark Mapstone
- Department of NeurologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Amrita Cheema
- Georgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
| | - Wayne Silverman
- Department of Pediatrics, School of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Ira Lott
- Department of Pediatrics, School of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Michael S. Rafii
- Department of Neurology, Keck School of MedicineUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Benjamin Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - William Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Elizabeth Head
- Department of PathologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Brad Christian
- Department of Medical Physics and PsychiatryUniversity of Wisconsin MadisonMadisonWisconsinUSA
| | - Tatiana Foroud
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Florence Lai
- Department of Neurology, Massachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - H. Diana Rosas
- Departments of Neurology and Radiology, Massachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Shahid Zaman
- Department of Psychiatry, School of Clinical MedicineUniversity of CambridgeCambridgeUK
- Cambridgeshire and Peterborough NHS Foundation TrustFulbourn HospitalCambridgeUK
| | - Beau M. Ances
- Washingston University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Mei‐Cheng Wang
- Johns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Benjamin Tycko
- Department of Pathology and Cell BiologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Joseph H. Lee
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia University Irving Medical CenterNew YorkNew YorkUSA
- G.H. Sergievsky CenterColumbia University Irving Medical CenterNew YorkNew YorkUSA
- Department of Epidemiology, Mailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyNeurological InstituteColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Sid O'Bryant
- Department of Pharmacology and Neuroscience Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
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O'Bryant SE, Zhang F, Silverman W, Lee JH, Krinsky‐McHale SJ, Pang D, Hall J, Schupf N. Proteomic profiles of incident mild cognitive impairment and Alzheimer's disease among adults with Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12033. [PMID: 32490140 PMCID: PMC7241058 DOI: 10.1002/dad2.12033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 03/05/2020] [Accepted: 03/06/2020] [Indexed: 11/09/2022]
Abstract
INTRODUCTION We sought to determine if proteomic profiles could predict risk for incident mild cognitive impairment (MCI) and Alzheimer's disease (AD) among adults with Down syndrome (DS). METHODS In a cohort of 398 adults with DS, a total of n = 186 participants were determined to be non-demented and without MCI or AD at baseline and throughout follow-up; n = 103 had incident MCI and n = 81 had incident AD. Proteomics were conducted on banked plasma samples from a previously generated algorithm. RESULTS The proteomic profile was highly accurate in predicting incident MCI (area under the curve [AUC] = 0.92) and incident AD (AUC = 0.88). For MCI risk, the support vector machine (SVM)-based high/low cut-point yielded an adjusted hazard ratio (HR) = 6.46 (P < .001). For AD risk, the SVM-based high/low cut-point score yielded an adjusted HR = 8.4 (P < .001). DISCUSSION The current results provide support for our blood-based proteomic profile for predicting risk for MCI and AD among adults with DS.
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Affiliation(s)
- Sid E. O'Bryant
- Department of Pharmacology & Neuroscience I Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Fan Zhang
- Vermont Genetics NetworkUniversity of VermontBurlingtonVermontUSA
| | | | - Joseph H. Lee
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public Health Columbia UniversityNew YorkNew YorkUSA
| | - Sharon J. Krinsky‐McHale
- Department of PsychologyStaten IslandNYS Institute for Basic Research in Developmental DisabilitiesNew YorkNew YorkUSA
| | - Deborah Pang
- Department of PsychologyStaten IslandNYS Institute for Basic Research in Developmental DisabilitiesNew YorkNew YorkUSA
| | - James Hall
- Department of Pharmacology & Neuroscience I Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
- G.H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public Health Columbia UniversityNew YorkNew YorkUSA
- Departments of Neurology and PsychiatryColumbia University Medical CenterNew YorkNew YorkUSA
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Yang J, Hu L, Zhang Y, Shi Y, Jiang W, Song C. Gesell Developmental Schedules scores and the relevant factors in children with Down syndrome. J Pediatr Endocrinol Metab 2020; 33:539-546. [PMID: 32242832 DOI: 10.1515/jpem-2019-0236] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Accepted: 01/20/2020] [Indexed: 02/04/2023]
Abstract
Background Down syndrome (DS) is a common chromosomal disease resulting in neurodegeneration. Cognitive competence has been assessed among adults with DS using various methods because DS patients have a tendency to develop Alzheimer's disease (AD) after middle age. However, research describing cognitive assessments in DS children is not as many as in DS adults, let alone with regard to performed analyses to determine factors that predict cognitive assessments. In this study, we evaluated the Gesell Developmental Schedules (GDS) scores and their associations with the relevant biochemical indicators and demographic factors in DS children. Methods All the subjects underwent GDS testing. The plasma amyloid-β (Aβ) peptide and serum vitamin A (VA) values were measured with enzyme-linked immunosorbent assay and high-performance liquid chromatography, and in the meanwhile, the demographic information of the subjects was collected. Results Forty-six DS children were recruited for this study. The GDS scores of children with DS were lower than those in children without DS. The plasma Aβ40 and Aβ42 levels were negatively associated with the GDS scores. Moreover, the GDS scores of the non-VA deficiency (NVAD) group were significantly higher than those of the VA deficiency (VAD) group. Certain demographic characteristics, such as the paternal labor intensity and paternal educational status, were relevant factors with regard to the GDS scores of the DS children. Conclusions This study determined that DS children exhibited abnormal GDS scores which indicated developmental delay of children with DS; the levels of plasma Aβ40, Aβ42 and serum VA were influential biochemical indicators and the paternal labor intensity and educational status were related demographic factors.
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Affiliation(s)
- Jing Yang
- Center for Clinical Molecular Medicine, Chongqing Key Laboratory of Pediatrics, Chongqing, P.R. China.,Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China
| | - Lan Hu
- Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China.,Department of Outpatient, Chongqing Key Laboratory of Pediatrics, Chongqing, P.R. China
| | - Yun Zhang
- Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China.,Department of Radiology, Chongqing Key Laboratory of Pediatrics, Chongqing, P.R. China
| | - Yu Shi
- Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China.,Department of Clinical Laboratory, Chongqing Key Laboratory of Pediatrics, Chongqing, P.R. China
| | - Wei Jiang
- Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China.,Department of Rehabilitation, Chongqing Key Laboratory of Pediatrics, Chongqing, P.R. China
| | - Cui Song
- Department of Endocrinology and Genetic Metabolism disease, Chongqing Key Laboratory of Pediatrics, Chongqing Key Laboratory of Child Health and Nutrition, Chongqing, P.R. China; and Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, Children's Hospital of Chongqing Medical University, No. 136 Zhongshan ER Road, Chongqing 400014, P.R. China, Fax: +86-23-63622874
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Petersen M, Zhang F, Krinsky‐McHale SJ, Silverman W, Lee JH, Pang D, Hall J, Schupf N, O'Bryant SE. Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12023. [PMID: 32435687 PMCID: PMC7233426 DOI: 10.1002/dad2.12023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/04/2019] [Accepted: 12/06/2019] [Indexed: 02/02/2023]
Abstract
INTRODUCTION We sought to determine if a proteomic profile approach developed to detect Alzheimer's disease (AD) in the general population would apply to adults with Down syndrome (DS). METHODS Plasma samples were obtained from 398 members of a community-based cohort of adults with DS. A total of n = 186 participants were determined to be non-demented and without mild cognitive impairment (MCI) at baseline and throughout follow-up; n = 50 had prevalent MCI; n = 42 had prevalent AD. RESULTS The proteomic profile yielded an area under the curve (AUC) of 0.92, sensitivity (SN) = 0.80, and specificity (SP) = 0.98 detecting prevalent MCI. For detecting prevalent AD, the proteomic profile yielded an AUC of 0.89, SN = 0.81, and SP = 0.97. The overall profile closely resembled our previously published profile of AD in the general population. DISCUSSION These data provide evidence of the applicability of our blood-based algorithm for detecting MCI/AD among adults with DS.
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Affiliation(s)
- Melissa Petersen
- Institute for Translational ResearchDepartment of Family MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Fan Zhang
- Vermont Genetics NetworkUniversity of VermontBurlingtonVermontUSA
| | - Sharon J. Krinsky‐McHale
- Department of PsychologyNYS Institute for Basic Research in Developmental DisabilitiesStaten IslandNew YorkUSA
| | | | - Joseph H. Lee
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew York
- G.H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
- Mailman School of Public HealthDepartment of EpidemiologyColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyColumbia University Medical CenterNew YorkNew YorkUSA
| | - Deborah Pang
- Department of PsychologyNYS Institute for Basic Research in Developmental DisabilitiesStaten IslandNew YorkUSA
| | - James Hall
- Institute for Translational ResearchDepartment of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew York
- G.H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
- Mailman School of Public HealthDepartment of EpidemiologyColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyColumbia University Medical CenterNew YorkNew YorkUSA
- Department of PsychiatryColumbia University Medical CenterNew YorkNew YorkUSA
| | - Sid E. O'Bryant
- Institute for Translational ResearchDepartment of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
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Zammit MD, Laymon CM, Betthauser TJ, Cody KA, Tudorascu DL, Minhas DS, Sabbagh MN, Johnson SC, Zaman SH, Mathis CA, Klunk WE, Handen BL, Cohen AD, Christian BT. Amyloid accumulation in Down syndrome measured with amyloid load. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12020. [PMID: 32435686 PMCID: PMC7233422 DOI: 10.1002/dad2.12020] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 12/18/2019] [Accepted: 12/20/2019] [Indexed: 12/03/2022]
Abstract
INTRODUCTION Individuals with Down syndrome (DS) show enhanced amyloid beta (Aβ) deposition in the brain. A new positron emission tomography (PET) index of amyloid load (AβL ) was recently developed as an alternative to standardized uptake value ratios (SUVrs) to quantify Aβ burden with high sensitivity for detecting and tracking Aβ change.1. METHODS AβL was calculated in a DS cohort (N = 169, mean age ± SD = 39.6 ± 8.7 years) using [C-11]Pittsburgh compound B (PiB) PET imaging. DS-specific PiB templates were created for Aβ carrying capacity (K) and non-specific binding (NS). RESULTS The highest values of Aβ carrying capacity were found in the striatum and precuneus. Longitudinal changes in AβL displayed less variability when compared to SUVrs. DISCUSSION These results highlight the utility of AβL for characterizing Aβ deposition in DS. Rates of Aβ accumulation in DS were found to be similar to that observed in late-onset Alzheimer's disease (AD; ≈3% to 4% per year), suggesting that AD progression in DS is of earlier onset but not accelerated.
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Affiliation(s)
| | - Charles M. Laymon
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvania
| | - Tobey J. Betthauser
- Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsin
| | - Karly A. Cody
- Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsin
| | - Dana L. Tudorascu
- Department of Internal MedicineUniversity of PittsburghPittsburghPennsylvania
| | - Davneet S. Minhas
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvania
| | | | - Sterling C. Johnson
- Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsin
| | - Shahid H. Zaman
- Cambridge Intellectual Disability Research GroupUniversity of CambridgeCambridgeUK
| | - Chester A. Mathis
- Department of RadiologyUniversity of PittsburghPittsburghPennsylvania
| | - William E. Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvania
| | | | - Ann D. Cohen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvania
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Mapstone M, Gross TJ, Macciardi F, Cheema AK, Petersen M, Head E, Handen BL, Klunk WE, Christian BT, Silverman W, Lott IT, Schupf N. Metabolic correlates of prevalent mild cognitive impairment and Alzheimer's disease in adults with Down syndrome. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12028. [PMID: 32258359 PMCID: PMC7131985 DOI: 10.1002/dad2.12028] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 02/14/2020] [Accepted: 02/19/2020] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Disruption of metabolic function is a recognized feature of late onset Alzheimer's disease (LOAD). We sought to determine whether similar metabolic pathways are implicated in adults with Down syndrome (DS) who have increased risk for Alzheimer's disease (AD). METHODS We examined peripheral blood from 292 participants with DS who completed baseline assessments in the Alzheimer's Biomarkers Consortium-Down Syndrome (ABC-DS) using untargeted mass spectrometry (MS). Our sample included 38 individuals who met consensus criteria for AD (DS-AD), 43 who met criteria for mild cognitive impairment (DS-MCI), and 211 who were cognitively unaffected and stable (CS). RESULTS We measured relative abundance of 8,805 features using MS and 180 putative metabolites were differentially expressed (DE) among the groups at false discovery rate-corrected q< 0.05. From the DE features, a nine-feature classifier model classified the CS and DS-AD groups with receiver operating characteristic area under the curve (ROC AUC) of 0.86 and a two-feature model classified the DS-MCI and DS-AD groups with ROC AUC of 0.88. Metabolite set enrichment analysis across the three groups suggested alterations in fatty acid and carbohydrate metabolism. DISCUSSION Our results reveal metabolic alterations in DS-AD that are similar to those seen in LOAD. The pattern of results in this cross-sectional DS cohort suggests a dynamic time course of metabolic dysregulation which evolves with clinical progression from non-demented, to MCI, to AD. Metabolomic markers may be useful for staging progression of DS-AD.
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Affiliation(s)
- Mark Mapstone
- Department of NeurologyUniversity of California‐IrvineIrvineCaliforniaUSA
| | - Thomas J Gross
- Department of NeurologyUniversity of California‐IrvineIrvineCaliforniaUSA
| | - Fabio Macciardi
- Department of Psychiatry and Human BehaviorUniversity of California‐IrvineIrvineCaliforniaUSA
| | - Amrita K Cheema
- Departments of Biochemistry and Molecular & Cellular BiologyGeorgetown University Medical CenterWashingtonDCUSA
| | - Melissa Petersen
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Elizabeth Head
- Department of Pathology and Laboratory MedicineUniversity of California‐IrvineIrvineCaliforniaUSA
| | - Benjamin L Handen
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - William E Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Bradley T Christian
- Departments of Medical Physics and PsychiatryWaisman CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Wayne Silverman
- Department of PediatricsUniversity of California‐ IrvineIrvineCaliforniaUSA
| | - Ira T Lott
- Department of PediatricsUniversity of California‐ IrvineIrvineCaliforniaUSA
| | - Nicole Schupf
- Taub Institute for Research in Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyColumbia University and the New York Presbyterian HospitalNew YorkNew YorkUSA
- Department of EpidemiologyJoseph P. Mailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
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Gomez W, Morales R, Maracaja-Coutinho V, Parra V, Nassif M. Down syndrome and Alzheimer's disease: common molecular traits beyond the amyloid precursor protein. Aging (Albany NY) 2020; 12:1011-1033. [PMID: 31918411 PMCID: PMC6977673 DOI: 10.18632/aging.102677] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 12/25/2019] [Indexed: 02/07/2023]
Abstract
Alzheimer’s disease (AD) is the most prevalent type of dementia. Down syndrome (DS) is the leading genetic risk factor for Early-Onset AD, prematurely presenting the classic pathological features of the brain with AD. Augmented gene dosage, including the APP gene, could partially cause this predisposition. Recent works have revealed that alterations in chromosome location due to the extra Chromosome 21, as well as epigenetic modifications, could promote changes in gene expression other than those from Chromosome 21. As a result, similar pathological features and cellular dysfunctions in DS and AD, including impaired autophagy, lysosomal activity, and mitochondrial dysfunction, could be controlled beyond APP overexpression. In this review, we highlight some recent data regarding the origin of the shared features between DS and AD and explore the mechanisms concerning cognitive deficiencies in DS associated with dementia, which could shed some light into the search for new therapeutic targets for AD treatment.
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Affiliation(s)
- Wileidy Gomez
- Laboratory of Neuroprotection and Autophagy, Center for Integrative Biology, Faculty of Science, Universidad Mayor, Santiago, Chile.,Departamento de Bioquímica y Biología Molecular and Advanced Center for Chronic Diseases (ACCDiS), Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago, Chile
| | - Rodrigo Morales
- Department of Neurology, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.,CIBQA, Universidad Bernardo O'Higgins, Santiago, Chile
| | - Vinicius Maracaja-Coutinho
- Departamento de Bioquímica y Biología Molecular and Advanced Center for Chronic Diseases (ACCDiS), Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago, Chile.,Centro de Modelamiento Molecular, Biofísica y Bioinformática (CM2B2), Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago, Chile
| | - Valentina Parra
- Departamento de Bioquímica y Biología Molecular and Advanced Center for Chronic Diseases (ACCDiS), Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago, Chile.,Center for Exercise, Metabolism, and Cancer Studies (CEMC), Facultad de Medicina, Universidad de Chile, Santiago, Chile.,Autophagy Research Center, Universidad de Chile, Santiago, Chile
| | - Melissa Nassif
- Laboratory of Neuroprotection and Autophagy, Center for Integrative Biology, Faculty of Science, Universidad Mayor, Santiago, Chile.,Escuela de Biotecnología, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
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Translation of the intrinsically disordered protein α-synuclein is inhibited by a small molecule targeting its structured mRNA. Proc Natl Acad Sci U S A 2020; 117:1457-1467. [PMID: 31900363 PMCID: PMC6983430 DOI: 10.1073/pnas.1905057117] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Many proteins are refractory to targeting because they lack small-molecule binding pockets. An alternative to drugging these proteins directly is to target the messenger (m)RNA that encodes them, thereby reducing protein levels. We describe such an approach for the difficult-to-target protein α-synuclein encoded by the SNCA gene. Multiplication of the SNCA gene locus causes dominantly inherited Parkinson's disease (PD), and α-synuclein protein aggregates in Lewy bodies and Lewy neurites in sporadic PD. Thus, reducing the expression of α-synuclein protein is expected to have therapeutic value. Fortuitously, the SNCA mRNA has a structured iron-responsive element (IRE) in its 5' untranslated region (5' UTR) that controls its translation. Using sequence-based design, we discovered small molecules that target the IRE structure and inhibit SNCA translation in cells, the most potent of which is named Synucleozid. Both in vitro and cellular profiling studies showed Synucleozid directly targets the α-synuclein mRNA 5' UTR at the designed site. Mechanistic studies revealed that Synucleozid reduces α-synuclein protein levels by decreasing the amount of SNCA mRNA loaded into polysomes, mechanistically providing a cytoprotective effect in cells. Proteome- and transcriptome-wide studies showed that the compound's selectivity makes Synucleozid suitable for further development. Importantly, transcriptome-wide analysis of mRNAs that encode intrinsically disordered proteins revealed that each has structured regions that could be targeted with small molecules. These findings demonstrate the potential for targeting undruggable proteins at the level of their coding mRNAs. This approach, as applied to SNCA, is a promising disease-modifying therapeutic strategy for PD and other α-synucleinopathies.
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Cannavo C, Tosh J, Fisher EMC, Wiseman FK. Using mouse models to understand Alzheimer's disease mechanisms in the context of trisomy of chromosome 21. PROGRESS IN BRAIN RESEARCH 2019; 251:181-208. [PMID: 32057307 DOI: 10.1016/bs.pbr.2019.10.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
People who have Down syndrome are at significantly elevated risk of developing early onset Alzheimer's disease that causes dementia (AD-DS). Here we review recent progress in modeling the development of AD-DS in mouse models. These studies provide insight into mechanisms underlying Alzheimer's disease and generate new clinical research questions. In addition, they suggest potential new targets for disease prevention therapies.
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Affiliation(s)
- Claudia Cannavo
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, United Kingdom; UK Dementia Research Institute at University College, London, United Kingdom
| | - Justin Tosh
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, United Kingdom
| | - Elizabeth M C Fisher
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, United Kingdom; The London Down Syndrome Consortium (LonDownS), London, United Kingdom
| | - Frances K Wiseman
- Department of Neuromuscular Diseases, UCL Institute of Neurology, London, United Kingdom; The London Down Syndrome Consortium (LonDownS), London, United Kingdom; UK Dementia Research Institute at University College, London, United Kingdom.
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40
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Frankel R, Törnquist M, Meisl G, Hansson O, Andreasson U, Zetterberg H, Blennow K, Frohm B, Cedervall T, Knowles TPJ, Leiding T, Linse S. Autocatalytic amplification of Alzheimer-associated Aβ42 peptide aggregation in human cerebrospinal fluid. Commun Biol 2019; 2:365. [PMID: 31602414 PMCID: PMC6783456 DOI: 10.1038/s42003-019-0612-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 09/16/2019] [Indexed: 01/20/2023] Open
Abstract
Alzheimer's disease is linked to amyloid β (Aβ) peptide aggregation in the brain, and a detailed understanding of the molecular mechanism of Aβ aggregation may lead to improved diagnostics and therapeutics. While previous studies have been performed in pure buffer, we approach the mechanism in vivo using cerebrospinal fluid (CSF). We investigated the aggregation mechanism of Aβ42 in human CSF through kinetic experiments at several Aβ42 monomer concentrations (0.8-10 µM). The data were subjected to global kinetic analysis and found consistent with an aggregation mechanism involving secondary nucleation of monomers on the fibril surface. A mechanism only including primary nucleation was ruled out. We find that the aggregation process is composed of the same microscopic steps in CSF as in pure buffer, but the rate constant of secondary nucleation is decreased. Most importantly, the autocatalytic amplification of aggregate number through catalysis on the fibril surface is prevalent also in CSF.
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Affiliation(s)
- Rebecca Frankel
- Department of Biochemistry and Structural Biology, Lund University, P O Box 124, SE22100 Lund, Sweden
| | - Mattias Törnquist
- Department of Biochemistry and Structural Biology, Lund University, P O Box 124, SE22100 Lund, Sweden
| | - Georg Meisl
- Department of Chemistry, Cambridge University, Lensfield Road, Cambridge, CB2 1EW UK
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Ulf Andreasson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, University College London Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at University College London, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Birgitta Frohm
- Department of Biochemistry and Structural Biology, Lund University, P O Box 124, SE22100 Lund, Sweden
| | - Tommy Cedervall
- Department of Biochemistry and Structural Biology, Lund University, P O Box 124, SE22100 Lund, Sweden
| | - Tuomas P. J. Knowles
- Department of Chemistry, Cambridge University, Lensfield Road, Cambridge, CB2 1EW UK
- Department of Physics, Cavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE UK
| | - Thom Leiding
- Department of Biochemistry and Structural Biology, Lund University, P O Box 124, SE22100 Lund, Sweden
| | - Sara Linse
- Department of Biochemistry and Structural Biology, Lund University, P O Box 124, SE22100 Lund, Sweden
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McGlinchey E, McCarron M, Holland A, McCallion P. Examining the effects of computerised cognitive training on levels of executive function in adults with Down syndrome. JOURNAL OF INTELLECTUAL DISABILITY RESEARCH : JIDR 2019; 63:1137-1150. [PMID: 31062455 DOI: 10.1111/jir.12626] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 12/14/2018] [Accepted: 03/12/2019] [Indexed: 05/13/2023]
Abstract
BACKGROUND Individuals with Down syndrome (DS) are at much greater risk of developing Alzheimer's disease, and one of the early clinical symptoms of Alzheimer's disease is executive dysfunction. In the general population, cognitive training has shown some promising results in relation to maintaining or improving cognitive processes. There is currently a gap in the literature in relation to cognitive training for adults with DS. METHODS A quasi-experimental mixed factorial design with partial crossover was used involving an 8-week intervention period using a brain training programme. Participants were matched on age and then randomly assigned to either the intervention group or the delayed intervention group. Forty adults with DS, aged between 30 and 49 and with a mild or moderate level of intellectual disability, participated in the study. All participants completed baseline measures of executive function, using both neuropsychological assessments and an informant-rated measure of behavioural executive function. The intervention group first completed the training and then the delayed intervention group. Executive function assessments were repeated for both groups following the training. RESULTS The study aimed to examine whether a cognitive training programme could have an effect on levels of executive function. While conclusions are limited owing to small sample size, improvement was seen in neuropsychological assessments of executive function following cognitive training. Positive effects reflected in everyday behaviours were not as promising. CONCLUSIONS This study showed that, while it has not been previously an area of focus, individuals with DS can complete a computerised cognitive training programme. Furthermore, the results were promising with significant improvements found in neuropsychological assessments of executive function. These findings need further investigation with a larger sample size and would benefit from the use of a brain imaging component to strengthen the findings.
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Affiliation(s)
- E McGlinchey
- Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - M McCarron
- Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - A Holland
- Cambridge Intellectual & Development Disabilities Research Group (CIDDRG), University of Cambridge, Cambridge, UK
| | - P McCallion
- School of Social Work, Temple University, Philadelphia, PA, USA
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Magge SN, Zemel BS, Pipan ME, Gidding SS, Kelly A. Cardiometabolic Risk and Body Composition in Youth With Down Syndrome. Pediatrics 2019; 144:peds.2019-0137. [PMID: 31315916 PMCID: PMC6855833 DOI: 10.1542/peds.2019-0137] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/17/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Whether BMI captures adiposity and cardiometabolic risk in Down syndrome (DS), a condition associated with obesity, short stature, and altered body proportions, is not known. We compared cardiometabolic risk measures in youth with DS and typically developing matched controls. METHODS Youth with (n = 150) and without (n = 103) DS of comparable age (10-20 years), sex, race, ethnicity, and BMI percentile underwent whole-body dual-energy X-ray absorptiometry, fasting glucose, insulin, lipids, lipoprotein particles, inflammatory factors, and when BMI percentile ≥85, an oral glucose tolerance test. RESULTS Sixty-four percent of youth with DS had BMI percentile ≥85. Among these, no difference in glucose, insulin, or insulin resistance was detected, but prediabetes was more prevalent with DS (26.4% vs 10.3%; P = .025) after adjustment for demographics, pubertal status, and BMI z score (odds ratio = 3.2; P = .026). Among all participants, those with DS had higher low-density lipoprotein cholesterol (median 107 [interquartile range 89-128] vs 88.5 [79-103] mg/dL; P < .00005), triglycerides (89.5 [73-133] vs 71.5 [56-104] mg/dL; P < .00005), non-high-density lipoprotein cholesterol (non-HDL-C; 128 [104-153] vs 107 [92-123] mg/dL; P < .00005), and triglycerides/HDL-C (2.2 [1.6-3.4] vs 1.7 [1.1-2.5] mg/dL; P = .0003) and lower levels of HDL-C (41 [36.5-47] vs 45 [37-53] mg/dL; P = .012). DS youth had higher high-sensitivity C-reactive protein, interleukin-6, small low-density lipoprotein particles (LDL-P), and total LDL-P, but similar LDL-P size. Youth with DS had less visceral fat (VFAT), fat mass, and lean mass for BMI z score, but greater VFAT at higher fat mass. However, VFAT did not fully explain the increased prevalence of dyslipidemia or prediabetes in youth with DS. CONCLUSIONS Despite similar insulin resistance, youth with DS had greater prevalence of dyslipidemia and prediabetes than typically developing youth, which was not fully explained by VFAT.
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Affiliation(s)
- Sheela N. Magge
- Division of Endocrinology and Diabetes, School of Medicine and Health Sciences, The George Washington University and Clinical and Translational Science Institute at Children’s National, Children’s Research Institute, Children’s National Health System, Washington, District of Columbia; Divisions of
| | - Babette S. Zemel
- Gastroenterology, Hepatology, and Nutrition,,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania; and
| | - Mary E. Pipan
- Developmental Behavioral Pediatrics, and,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania; and
| | | | - Andrea Kelly
- Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania;,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania; and
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Abstract
Virtually all adults with Down syndrome (DS) show the neuropathological changes of Alzheimer disease (AD) by the age of 40 years. This association is partially due to overexpression of amyloid precursor protein, encoded by APP, as a result of the location of this gene on chromosome 21. Amyloid-β accumulates in the brain across the lifespan of people with DS, which provides a unique opportunity to understand the temporal progression of AD and the epigenetic factors that contribute to the age of dementia onset. This age dependency in the development of AD in DS can inform research into the presentation of AD in the general population, in whom a longitudinal perspective of the disease is not often available. Comparison of the risk profiles, biomarker profiles and genetic profiles of adults with DS with those of individuals with AD in the general population can help to determine common and distinct pathways as well as mechanisms underlying increased risk of dementia. This Review evaluates the similarities and differences between the pathological cascades and genetics underpinning DS and AD with the aim of providing a platform for common exploration of these disorders.
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Affiliation(s)
- Ira T Lott
- Department of Pediatrics and Neurology, School of Medicine, University of California, Irvine, CA, USA.
| | - Elizabeth Head
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
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Abstract
Down syndrome (DS; Trisomy 21) is the most common chromosomal disorder in humans. It has numerous associated neurologic phenotypes including intellectual disability, sleep apnea, seizures, behavioral problems, and dementia. With improved access to medical care, people with DS are living longer than ever before. As more individuals with DS reach old age, the necessity for further life span research is essential and cannot be overstated. There is currently a scarcity of information on common medical conditions encountered as individuals with DS progress into adulthood and old age. Conflicting information and uncertainty about the relative risk of dementia for adults with DS is a source of distress for the DS community that creates a major obstacle to proper evaluation and treatment. In this chapter, we discuss the salient neurologic phenotypes of DS, including Alzheimer's disease (AD), and current understanding of their biologic bases and management.
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Affiliation(s)
- Michael S Rafii
- Department of Neurology, Keck School of Medicine of the University of Southern California, San Diego, CA, United States
| | | | - Mariko Sawa
- Department of Neurosciences, University of California San Diego, La Jolla, CA, United States
| | - William C Mobley
- Department of Neurosciences, University of California San Diego, La Jolla, CA, United States.
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45
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Evidence of intraneuronal Aβ accumulation preceding tau pathology in the entorhinal cortex. Acta Neuropathol 2018; 136:901-917. [PMID: 30362029 DOI: 10.1007/s00401-018-1922-z] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 10/18/2018] [Accepted: 10/18/2018] [Indexed: 12/28/2022]
Abstract
Growing evidence gathered from transgenic animal models of Alzheimer's disease (AD) indicates that the intraneuronal accumulation of amyloid-β (Aβ) peptides is an early event in the AD pathogenesis, producing cognitive deficits before the deposition of insoluble plaques. Levels of soluble Aβ are also a strong indicator of synaptic deficits and concurrent AD neuropathologies in post-mortem AD brain; however, it remains poorly understood how this soluble amyloid pool builds within the brain in the decades leading up to diagnosis, when a patient is likely most amenable to early therapeutic interventions. Indeed, characterizing early intracellular Aβ accumulation in humans has been hampered by the lack of Aβ-specific antibodies, variability in the quality of available human brain tissue and the limitations of conventional microscopy. We therefore sought to investigate the development of the intraneuronal Aβ pathology using extremely high-quality post-mortem brain material obtained from a cohort of non-demented subjects with short post-mortem intervals and processed by perfusion-fixation. Using well-characterized monoclonal antibodies, we demonstrate that the age-dependent intraneuronal accumulation of soluble Aβ is pervasive throughout the entorhinal cortex and hippocampus, and that this phase of the amyloid pathology becomes established within AD-vulnerable regions before the deposition of Aβ plaques and the formation of tau neurofibrillary tangles. We also show for the first time in post-mortem human brain that Aβ oligomers do in fact accumulate intraneuronally, before the formation of extracellular plaques. Finally, we validated the origin of the Aβ-immunopositive pool by resolving Aβ- and APP/CTF-immunoreactive sites using super resolution structured illumination microscopy. Together, these findings indicate that the lifelong accrual of intraneuronal Aβ may be a potential trigger for downstream AD-related pathogenic events in early disease stages.
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46
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Mendiratta P, Wei JY, Dayama N, Li X. Outcomes for Hospitalized Older Adults with Down Syndrome in the United States. J Alzheimers Dis 2018; 66:377-386. [DOI: 10.3233/jad-171067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Priya Mendiratta
- Department of Geriatrics, College of Medicine-University of Arkansas Medical Sciences, Little Rock, AR, USA
| | - Jeanne Y. Wei
- Department of Geriatrics, College of Medicine-University of Arkansas Medical Sciences, Little Rock, AR, USA
| | - Neeraj Dayama
- Department of Health Policy and Management, Little Rock, AR, USA
| | - Xiaocong Li
- Department of Health Policy and Management, Little Rock, AR, USA
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47
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Hares K, Miners JS, Cook AJ, Rice C, Scolding N, Love S, Wilkins A. Overexpression of Kinesin Superfamily Motor Proteins in Alzheimer's Disease. J Alzheimers Dis 2018; 60:1511-1524. [PMID: 29060936 DOI: 10.3233/jad-170094] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Defects in motor protein-mediated neuronal transport mechanisms have been implicated in a number of neurodegenerative disorders but remain relatively little studied in Alzheimer's disease (AD). Our aim in the present study was to assess the expression of the anterograde kinesin superfamily motor proteins KIF5A, KIF1B, and KIF21B, and to examine their relationship to levels of hyperphosphorylated tau, amyloid-β protein precursor (AβPP), and amyloid-β (Aβ) in human brain tissue. We used a combination of qPCR, immunoblotting, and ELISA to perform these analyses in midfrontal cortex from 49 AD and 46 control brains. Expression of KIF5A, KIF1B, and KIF21B at gene and protein level was significantly increased in AD. KIF5A protein expression correlated inversely with the levels of AβPP and soluble Aβ in AD brains. Upregulation of KIFs may be an adaptive response to impaired axonal transport in AD.
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Affiliation(s)
- Kelly Hares
- MS and Stem Cell Group, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - James Scott Miners
- Dementia Research Group, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Amelia Jane Cook
- MS and Stem Cell Group, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Claire Rice
- MS and Stem Cell Group, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Neil Scolding
- MS and Stem Cell Group, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Seth Love
- Dementia Research Group, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Alastair Wilkins
- MS and Stem Cell Group, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
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48
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On the role of sidechain size and charge in the aggregation of A β42 with familial mutations. Proc Natl Acad Sci U S A 2018; 115:E5849-E5858. [PMID: 29895690 PMCID: PMC6042101 DOI: 10.1073/pnas.1803539115] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
The aggregation of the amyloid-β (Aβ) peptide into amyloid fibrils is associated with Alzheimer’s disease, and several point mutations leading to early-onset disease have been identified in Aβ. By studying the aggregation of five disease-related mutations in vitro, we rationalize their link to familial Alzheimer’s disease. We have determined the effect of mutations on the individual steps of the overall Aβ42 aggregation reaction and find for four of the mutations a significant increase in the rate of self-replication of fibrils, a process that has been linked to the production of toxic oligomeric species. Furthermore, by investigating the nature of the mutation, we determine the importance of the charge and size of specific residues in the aggregation of the wild-type peptide. The aggregation of the amyloid-β (Aβ) peptide is linked to the pathogenesis of Alzheimer’s disease (AD). In particular, some point mutations within Aβ are associated with early-onset familial Alzheimer’s disease. Here we set out to explore how the physical properties of the altered side chains, including their sizes and charges, affect the molecular mechanisms of aggregation. We focus on Aβ42 with familial mutations—A21G (Flemish), E22K (Italian), E22G (Arctic), E22Q (Dutch), and D23N (Iowa)—which lead to similar or identical pathology with sporadic AD or severe cerebral amyloid angiopathy. Through global kinetic analysis, we find that for the E22K, E22G, E22Q, and D23N mutations, the acceleration of the overall aggregation originates primarily from the modulation of the nucleation processes, in particular secondary nucleation on the surface of existing fibrils, whereas the elongation process is not significantly affected. Remarkably, the D23 position appears to be responsible for most of the charge effects during nucleation, while the size of the side chain at the E22 position plays a more significant role than its charge. Thus, we have developed a kinetic approach to determine the nature and the magnitude of the contribution of specific residues to the rate of individual steps of the aggregation reaction, through targeted mutations and variations in ionic strength. This strategy can help rationalize the effect of some disease-related mutations as well as yield insights into the mechanism of aggregation and the transition states of the wild-type protein.
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49
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György B, Lööv C, Zaborowski MP, Takeda S, Kleinstiver BP, Commins C, Kastanenka K, Mu D, Volak A, Giedraitis V, Lannfelt L, Maguire CA, Joung JK, Hyman BT, Breakefield XO, Ingelsson M. CRISPR/Cas9 Mediated Disruption of the Swedish APP Allele as a Therapeutic Approach for Early-Onset Alzheimer's Disease. MOLECULAR THERAPY. NUCLEIC ACIDS 2018; 11:429-440. [PMID: 29858078 PMCID: PMC5992788 DOI: 10.1016/j.omtn.2018.03.007] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 03/08/2018] [Accepted: 03/12/2018] [Indexed: 12/23/2022]
Abstract
The APPswe (Swedish) mutation in the amyloid precursor protein (APP) gene causes dominantly inherited Alzheimer’s disease (AD) as a result of increased β-secretase cleavage of the amyloid-β (Aβ) precursor protein. This leads to abnormally high Aβ levels, not only in brain but also in peripheral tissues of mutation carriers. Here, we selectively disrupted the human mutant APPSW allele using CRISPR. By applying CRISPR/Cas9 from Streptococcus pyogenes, we generated allele-specific deletions of either APPSW or APPWT. As measured by ELISA, conditioned media of targeted patient-derived fibroblasts displayed an approximate 60% reduction in secreted Aβ. Next, coding sequences for the APPSW-specific guide RNA (gRNA) and Cas9 were packaged into separate adeno-associated viral (AAV) vectors. Site-specific indel formation was achieved both in primary neurons isolated from APPSW transgenic mouse embryos (Tg2576) and after co-injection of these vectors into hippocampus of adult mice. Taken together, we here present proof-of-concept data that CRISPR/Cas9 can selectively disrupt the APPSW allele both ex vivo and in vivo—and thereby decrease pathogenic Aβ. Hence, this system may have the potential to be developed as a tool for gene therapy against AD caused by APPswe and other point mutations associated with increased Aβ.
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Affiliation(s)
- Bence György
- Departments of Neurology and Radiology, Massachusetts General Hospital and Center for NeuroDiscovery, Harvard Medical School, Boston, MA, USA; Department of Neurobiology, Harvard Medical School, 220 Longwood Avenue, Boston, MA 02115, USA
| | - Camilla Lööv
- Departments of Neurology and Radiology, Massachusetts General Hospital and Alzheimer's Disease Research Center, Harvard Medical School, Boston, MA, USA
| | - Mikołaj P Zaborowski
- Departments of Neurology and Radiology, Massachusetts General Hospital and Center for NeuroDiscovery, Harvard Medical School, Boston, MA, USA; Department of Gynecology, Obstetrics and Gynecologic Oncology, Division of Gynecologic Oncology, Poznan University of Medical Sciences, 60-535 Poznan, Poland
| | - Shuko Takeda
- Departments of Neurology and Radiology, Massachusetts General Hospital and Alzheimer's Disease Research Center, Harvard Medical School, Boston, MA, USA
| | - Benjamin P Kleinstiver
- Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA; Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Caitlin Commins
- Departments of Neurology and Radiology, Massachusetts General Hospital and Alzheimer's Disease Research Center, Harvard Medical School, Boston, MA, USA
| | - Ksenia Kastanenka
- Departments of Neurology and Radiology, Massachusetts General Hospital and Alzheimer's Disease Research Center, Harvard Medical School, Boston, MA, USA
| | - Dakai Mu
- Departments of Neurology and Radiology, Massachusetts General Hospital and Center for NeuroDiscovery, Harvard Medical School, Boston, MA, USA
| | - Adrienn Volak
- Departments of Neurology and Radiology, Massachusetts General Hospital and Center for NeuroDiscovery, Harvard Medical School, Boston, MA, USA
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Geriatrics, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Lars Lannfelt
- Department of Public Health and Caring Sciences, Geriatrics, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Casey A Maguire
- Departments of Neurology and Radiology, Massachusetts General Hospital and Center for NeuroDiscovery, Harvard Medical School, Boston, MA, USA
| | - J Keith Joung
- Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA; Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Bradley T Hyman
- Departments of Neurology and Radiology, Massachusetts General Hospital and Alzheimer's Disease Research Center, Harvard Medical School, Boston, MA, USA
| | - Xandra O Breakefield
- Departments of Neurology and Radiology, Massachusetts General Hospital and Center for NeuroDiscovery, Harvard Medical School, Boston, MA, USA
| | - Martin Ingelsson
- Departments of Neurology and Radiology, Massachusetts General Hospital and Center for NeuroDiscovery, Harvard Medical School, Boston, MA, USA; Department of Public Health and Caring Sciences, Geriatrics, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
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50
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Head E, Helman AM, Powell D, Schmitt FA. Down syndrome, beta-amyloid and neuroimaging. Free Radic Biol Med 2018; 114:102-109. [PMID: 28935420 PMCID: PMC5748259 DOI: 10.1016/j.freeradbiomed.2017.09.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 09/12/2017] [Accepted: 09/14/2017] [Indexed: 12/20/2022]
Abstract
This review focuses on the role of Aβ in AD pathogenesis in Down syndrome and current approaches for imaging Aβ in vivo. We will describe how Aβ deposits with age, the posttranslational modifications that can occur, and detection in biofluids. Three unique case studies describing partial trisomy 21 cases without APP triplication, and the occurrences of low level mosaic trisomy 21 in an early onset AD patient are presented. Brain imaging for Aβ includes those by positron emission tomography and ligands (Pittsburgh Compound B, Florbetapir, and FDDNP) that bind Aβ have been published and are summarized here. In combination, we have learned a great deal about Aβ in DS in terms of characterizing age of onset of this pathology and it is exciting to note that there is a clinical trial in DS targeting Aβ that may lead to clinical benefits.
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Affiliation(s)
- Elizabeth Head
- University of Kentucky, Sanders-Brown Center on Aging, 800 South Limestone Street, Lexington, KY 40536, United States; University of Kentucky, Department of Pharmacology & Nutritional Sciences, Lexington, KY 40536, United States.
| | - Alex M Helman
- University of Kentucky, Sanders-Brown Center on Aging, 800 South Limestone Street, Lexington, KY 40536, United States; University of Kentucky, Department of Pharmacology & Nutritional Sciences, Lexington, KY 40536, United States; University of Kentucky, Magnetic Resonance Imaging and Spectroscopy Center, Lexington, KY 40536, United States; University of Kentucky, Department of Neurology, Lexington, KY 40536, United States
| | - David Powell
- University of Kentucky, Magnetic Resonance Imaging and Spectroscopy Center, Lexington, KY 40536, United States
| | - Frederick A Schmitt
- University of Kentucky, Sanders-Brown Center on Aging, 800 South Limestone Street, Lexington, KY 40536, United States; University of Kentucky, Department of Neurology, Lexington, KY 40536, United States
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