4.6 Article

Independent Effects of Intra- and Extracellular Aβ on Learning-Related Gene Expression

期刊

AMERICAN JOURNAL OF PATHOLOGY
卷 175, 期 1, 页码 271-282

出版社

ELSEVIER SCIENCE INC
DOI: 10.2353/ajpath.2009.090044

关键词

-

资金

  1. Deutsche Forschungsgemeinschaft [CA 477-1/2]
  2. Alzheimer's Association [IIRG-05-13464]
  3. German National Academic Foundation
  4. German National Genome Network (NGFNPlus)

向作者/读者索取更多资源

Alzheimer's disease is characterized by numerous pathological abnormalities, including amyloid beta (A beta) deposition in the brain parenchyma and vasculature. In addition, intracellular A beta accumulation may affect neuronal viability and function. In this study, we evaluated the effects of different forms of A beta on cognitive decline by analyzing the behavioral induction of the learning-related gene Arc/Arg3.1 in three different transgenic mouse models of cerebral amyloidosis (APPPS1, APPDutch, and APP23). Following a con trolled spatial exploration paradigm, reductions in both the number of Arc-activated neurons and the levels of Arc mRNA were seen in the neocortices of depositing mice from all transgenic lines (deficits ranging from 1.4 to 26%), indicating an impairment in neuronal encoding and network activation. Young APPDutch and APP23 mice exhibited intracellular, granular A beta staining that was most prominent in the large pyramidal cells of cortical layer V; these animals also had reductions in levels of Are. In the dentate gyrus, striking reductions (up to 58% in aged APPPS1 mice) in the number of Arc-activated cells were found. Single-cell analyses revealed both the proximity to fibrillar amyloid in aged mice, and the transient presence of intracellular granular A beta in young mice, as independent factors that contribute to reduced Arc levels. These results provide evidence that two independent A beta pathologies converge in their impact on cognitive function in Alzheimer's disease. (Am Pathol 2009, 175:271-282; DOI: 10.2353/ajpath.2009.090044)

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Clinical Neurology

Patterns and implications of neurological examination findings in autosomal dominant Alzheimer disease

Jonathan Voeglein, Nicolai Franzmeier, John C. Morris, Marianne Dieterich, Eric McDade, Mikael Simons, Oliver Preische, Anna Hofmann, Jason Hassenstab, Tammie L. Benzinger, Anne Fagan, James M. Noble, Sarah B. Berman, Neill R. Graff-Radford, Bernardino Ghetti, Martin R. Farlow, Jasmeer P. Chhatwal, Stephen Salloway, Chengjie Xiong, Celeste M. Karch, Nigel Cairns, Richard J. Perrin, Gregory Day, Ralph Martins, Raquel Sanchez-Valle, Hiroshi Mori, Hiroyuki Shimada, Takeshi Ikeuchi, Kazushi Suzuki, Peter R. Schofield, Colin L. Masters, Alison Goate, Virginia Buckles, Nick C. Fox, Patricio Chrem, Ricardo Allegri, John M. Ringman, Igor Yakushev, Christoph Laske, Mathias Jucker, Gunter Hoglinger, Randall J. Bateman, Adrian Danek, Johannes Levin

Summary: Autosomal dominant Alzheimer's disease (ADAD) has distinct neurological examination findings that are useful for estimating prognosis and guiding clinical care and therapeutic trial designs.

ALZHEIMERS & DEMENTIA (2023)

Article Clinical Neurology

Biomarker clustering in autosomal dominant Alzheimer's disease

Patrick H. Luckett, Charlie Chen, Brian A. Gordon, Julie Wisch, Sarah B. Berman, Jasmeer P. Chhatwal, Carlos Cruchaga, Anne M. Fagan, Martin R. Farlow, Nick C. Fox, Mathias Jucker, Johannes Levin, Colin L. Masters, Hiroshi Mori, James M. Noble, Stephen Salloway, Peter R. Schofield, Adam M. Brickman, William S. Brooks, David M. Cash, Michael J. Fulham, Bernardino Ghetti, Clifford R. Jack, Jonathan Voeglein, William E. Klunk, Robert Koeppe, Yi Su, Michael Weiner, Qing Wang, Daniel Marcus, Deborah Koudelis, Nelly Joseph-Mathurin, Lisa Cash, Russ Hornbeck, Chengjie Xiong, Richard J. Perrin, Celeste M. Karch, Jason Hassenstab, Eric McDade, John C. Morris, Tammie L. S. Benzinger, Randall J. Bateman, Beau M. Ances

Summary: This study analyzed 19 biomarkers of Alzheimer's disease using hierarchical clustering and feature selection, and found that amyloid and tau measures were the primary predictors. Emerging biomarkers of neuronal integrity and inflammation showed weaker predictive ability.

ALZHEIMERS & DEMENTIA (2023)

Letter Clinical Neurology

Plasma GFAP in presymptomatic and symptomatic familial Alzheimer's disease: a longitudinal cohort study

Antoinette O'Connor, Emily Abel, Andrea Lessa Benedet, Teresa Poole, Nicholas Ashton, Philip Simon John Weston, Amanda J. Heslegrave, Natalie Ryan, Suzie Barker, James M. Polke, Kaj Blennow, Henrik Zetterberg, Nick C. Fox

JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY (2023)

Article Clinical Neurology

Plasma glial fibrillary acidic protein in autosomal dominant Alzheimer's disease: Associations with A beta-PET, neurodegeneration, and cognition

Pratishtha Chatterjee, Lisa Vermunt, Brian A. Gordon, Steve Pedrini, Lynn Boonkamp, Nicola J. Armstrong, Chengjie Xiong, Abhay K. Singh, Yan Li, Hamid R. Sohrabi, Kevin Taddei, Mark Molloy, Tammie L. S. Benzinger, John C. Morris, Celeste Karch, Sarah Berman, Jasmeer Chhatwal, Carlos Cruchaga, Neill R. Graff-Radford, Gregory S. Day, Martin Farlow, Nick Fox, Alison Goate, Jason Hassenstab, Jae-Hong Lee, Johannes Levin, Eric McDade, Hiroshi Mori, Richard Perrin, Raquel Sanchez-Valle, Peter R. Schofield, Allan Levey, Mathias Jucker, Colin L. Masters, Anne M. Fagan, Randall J. Bateman, Ralph N. Martins, Charlotte Teunissen

Summary: This study found that plasma GFAP levels increase a decade before symptom onset in AD and are associated with Aβ load, neurodegeneration, and cognitive decline.

ALZHEIMERS & DEMENTIA (2023)

Letter Clinical Neurology

First presentation with neuropsychiatric symptoms in autosomal dominant Alzheimer's disease: the Dominantly Inherited Alzheimer's Network Study

Antoinette O'Connor, Helen Rice, Josephine Barnes, Natalie S. Ryan, Kathy Y. Liu, Ricardo Francisco Allegri, Sarah Berman, John M. Ringman, Carlos Cruchaga, Martin R. Farlow, Jason Hassenstab, Jae-Hong Lee, Richard J. Perrin, Chengjie Xiong, Brian Gordon, Allan Levey, Alison Goate, Neil Graff-Radford, Johannes Levin, Mathias Jucker, Tammie Benzinger, Eric McDade, Hiroshi Mori, James M. Noble, Peter R. Schofield, Ralph N. Martins, Stephen Salloway, Jasmeer Chhatwal, John C. Morris, Randall Bateman, Rob Howard, Suzanne Reeves, Nick C. Fox

JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY (2023)

Article Biology

Multimodal brain age estimates relate to Alzheimer disease biomarkers and cognition in early stages: a cross-sectional observational study

Peter R. Millar, Brian A. Gordon, Patrick H. Luckett, Tammie L. S. Benzinger, Carlos Cruchaga, Anne M. Fagan, Jason J. Hassenstab, Richard J. Perrin, Suzanne E. Schindler, Ricardo F. Allegri, Gregory S. Day, Martin R. Farlow, Hiroshi Mori, Georg Nuebling, Randall J. Bateman, John C. Morris, Beau M. Ances

Summary: Estimates of 'brain-predicted age' quantify apparent brain age compared to normative trajectories of neuroimaging features. The brain age gap (BAG) between predicted and chronological age is elevated in symptomatic Alzheimer disease (AD) but has not been well explored in presymptomatic AD. Prior studies have typically modeled BAG with structural MRI, but more recently other modalities, including functional connectivity (FC) and multimodal MRI, have been explored.
Article Clinical Neurology

Association of Stages of Objective Memory Impairment With Incident Symptomatic Cognitive Impairment in Cognitively Normal Individuals

Ellen Grober, Kellen K. Petersen, Richard B. Lipton, Jason Hassenstab, John C. Morris, Brian A. Gordon, Ali Ezzati

Summary: This study used the SOMI system to identify individuals with subtle cognitive impairment among those who appear to be cognitively normal. The results showed that participants with retrieval impairment (SOMI-1) had a higher incidence of cognitive impairment, and the risk increased even more for those with storage impairment (SOMI-3/4), after adjusting for demographics and APOE ε4 status. Additionally, the study found that SOMI remained a significant predictor of incident cognitive impairment even after considering biomarkers of β-amyloid, tau pathology, and neurodegeneration.

NEUROLOGY (2023)

Article Clinical Neurology

Investigating associations between blood metabolites, later life brain imaging measures, and genetic risk for Alzheimer's disease

Rebecca E. Green, Jodie Lord, Marzia A. Scelsi, Jin Xu, Andrew Wong, Sarah Naomi-James, Alex Handy, Lachlan Gilchrist, Dylan M. Williams, Thomas D. Parker, Christopher A. Lane, Ian B. Malone, David M. Cash, Carole H. Sudre, William Coath, David L. Thomas, Sarah Keuss, Richard Dobson, Cristina Legido-Quigley, Nick C. Fox, Jonathan M. Schott, Marcus Richards, Petroula Proitsi

Summary: By analyzing the associations between blood metabolites and brain volume, hippocampal volume, and amyloid-beta status among the participants of Insight 46, this study identifies key metabolites related to brain health and preclinical pathology, providing insights into early disease mechanisms and potential intervention strategies.

ALZHEIMERS RESEARCH & THERAPY (2023)

Article Clinical Neurology

Tau accumulation in autosomal dominant Alzheimer's disease: a longitudinal [18F]flortaucipir study

Antoinette O'Connor, David M. Cash, Teresa Poole, Pawel J. Markiewicz, Maggie R. Fraser, Ian B. Malone, Jieqing Jiao, Philip S. J. Weston, Shaney Flores, Russ Hornbeck, Eric McDade, Michael Schoell, Brian A. Gordon, Randall J. Bateman, Tammie L. S. Benzinger, Nick C. Fox

Summary: Cortical tau accumulation is a crucial pathological event in Alzheimer's disease, and understanding the timing and pattern of tau deposition can help track the disease progression. This study used data from participants in AD cohort studies to investigate if tau PET can detect early changes in presymptomatic carriers and found that there were regional differences in tau accumulation prior to symptom onset, particularly in posterior regions.

ALZHEIMERS RESEARCH & THERAPY (2023)

Editorial Material Clinical Neurology

Insight Preparing for disease-modifying therapies in Alzheimer's disease

Christopher R. S. Belder, Jonathan M. Schott, Nick C. Fox

LANCET NEUROLOGY (2023)

Article Biochemistry & Molecular Biology

Cerebrospinal fluid proteomics define the natural history of autosomal dominant Alzheimer's disease

Erik C. B. Johnson, Shijia Bian, Rafi U. Haque, E. Kathleen Carter, Caroline M. Watson, Brian A. Gordon, Lingyan Ping, Duc M. Duong, Michael P. Epstein, Eric McDade, Nicolas R. Barthelemy, Celeste M. Karch, Chengjie Xiong, Carlos Cruchaga, Richard J. Perrin, Aliza P. Wingo, Thomas S. Wingo, Jasmeer P. Chhatwal, Gregory S. Day, James M. Noble, Sarah B. Berman, Ralph Martins, Neill R. Graff-Radford, Peter R. Schofield, Takeshi Ikeuchi, Hiroshi Mori, Johannes Levin, Martin Farlow, James J. Lah, Christian Haass, Mathias Jucker, John C. Morris, Tammie L. S. Benzinger, Blaine R. Roberts, Randall J. Bateman, Anne M. Fagan, Nicholas T. Seyfried, Allan Levey

Summary: Alzheimer's disease pathology, characterized by aggregation of Aβ peptide into plaques and tau protein into neurofibrillary tangles, develops years before cognitive symptoms. By analyzing cerebrospinal fluid proteomics in individuals with autosomal dominant AD, researchers identified protein changes associated with Aβ plaques and their temporal evolution over six decades. These proteomic measurements were able to differentiate mutation carriers from noncarriers before symptom onset better than traditional Aβ and tau measures. Understanding the multifaceted landscape of AD pathology and its progression is crucial for developing precise therapeutic interventions and biomarkers.

NATURE MEDICINE (2023)

Article Neurosciences

Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN)

Nicole S. McKay, Brian A. Gordon, Russ C. Hornbeck, Aylin Dincer, Shaney Flores, Sarah J. Keefe, Nelly Joseph-Mathurin, Clifford R. Jack, Robert Koeppe, Peter R. Millar, Beau M. Ances, Charles D. Chen, Alisha Daniels, Diana A. Hobbs, Kelley Jackson, Deborah Koudelis, Parinaz Massoumzadeh, Austin McCullough, Michael L. Nickels, Farzaneh Rahmani, Laura Swisher, Qing Wang, Ricardo F. Allegri, Sarah B. Berman, Adam M. Brickman, William S. Brooks, David M. Cash, Jasmeer P. Chhatwal, Gregory S. Day, Martin R. Farlow, Christian la Fougere, Nick C. Fox, Michael Fulham, Bernardino Ghetti, Neill Graff-Radford, Takeshi Ikeuchi, William Klunk, Jae-Hong Lee, Johannes Levin, Ralph Martins, Colin L. Masters, Jonathan McConathy, Hiroshi Mori, James Noble, Gerald Reischl, Christopher Rowe, Stephen Salloway, Raquel Sanchez-Valle, Peter R. Schofield, Hiroyuki Shimada, Mikio Shoji, Yi Su, Kazushi Suzuki, Jonathan Voeglein, Igor Yakushev, Carlos Cruchaga, Jason Hassenstab, Celeste Karch, Eric McDade, Richard J. Perrin, Chengjie Xiong, John C. Morris, Randall J. Bateman, Tammie L. S. Benzinger

Summary: The Dominantly Inherited Alzheimer Network (DIAN) is an international collaboration that studies autosomal dominant Alzheimer disease (ADAD). ADAD arises from mutations in three genes. Non-carrier siblings from ADAD families can be recruited for case-control studies. The predictable age of onset in ADAD allows for mapping candidate AD biomarkers during the preclinical phase. This study provides valuable data for understanding early disease stages of both ADAD and sporadic AD, as well as for research in healthy aging.

NATURE NEUROSCIENCE (2023)

Article Clinical Neurology

Neuroimaging, clinical and life course correlates of normal-appearing white matter integrity in 70-year-olds

Sarah-Naomi James, Emily N. Manning, Mathew Storey, Jennifer M. Nicholas, William Coath, Sarah E. Keuss, David M. Cash, Christopher A. Lane, Thomas Parker, Ashvini Keshavan, Sarah M. Buchanan, Aaron Wagen, Mathew Harris, Ian Malone, Kirsty Lu, Louisa P. Needham, Rebecca Street, David Thomas, John Dickson, Heidi Murray-Smith, Andrew Wong, Tamar Freiberger, Sebastian J. Crutch, Nick C. Fox, Marcus Richards, Frederik Barkhof, Carole H. Sudre, Josephine Barnes, Jonathan M. Schott

Summary: This study investigates the associations between normal-appearing white matter microstructural integrity, brain health, cognition, demographics, genetics, and cardiovascular health in cognitively normal adults in their seventies. The results show that measures of brain health, cognition, demographics, genetics, and cardiovascular health are associated with the microstructural integrity of normal-appearing white matter. Additionally, sex, blood pressure, and cardiovascular health in females were found to have an impact on white matter integrity.

BRAIN COMMUNICATIONS (2023)

Article Clinical Neurology

Operationalizing the centiloid scale for [18F]florbetapir PET studies on PET/MRI

William Coath, Marc Modat, M. Jorge J. Cardoso, Pawel J. A. Markiewicz, Christopher A. D. Lane, Thomas D. Parker, Ashvini M. Keshavan, Sarah M. E. Buchanan, Sarah E. J. Keuss, Matthew J. Harris, Ninon Burgos, John Dickson, Anna L. Barnes, David L. Thomas, Daniel B. Beasley, Ian B. Malone, Andrew Wong, Kjell A. Erlandsson, Benjamin A. Thomas, Michael Scholl, Sebastien Ourselin, Marcus C. Richards, Nick C. M. Fox, Jonathan M. M. Schott, David M. Cash

Summary: The Centiloid scale aims to harmonize Aβ PET measures across different analysis methods. This study investigated the Centiloid transformation with PET/MRI data, finding that the transformation is valid but further understanding of the effects of acquisition or biological factors on using white matter as a reference is needed.

ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING (2023)

Article Clinical Neurology

A practitioner's guide to geospatial analysis in a neuroimaging context

Julie K. K. Wisch, Ganesh M. Babulal, Kalen Petersen, Peter R. R. Millar, Enbal Shacham, Stephen Scroggins, Anna H. H. Boerwinkle, Shaney Flores, Sarah Keefe, Brian A. A. Gordon, John C. C. Morris, Beau M. M. Ances

Summary: This article presents a practical guide for applying geospatial methods to a neuroimaging cohort, aiming to evaluate the impact of the environment on the brain. The authors used structural magnetic resonance imaging data from 239 city-dwelling participants in St. Louis, Missouri, and compared them to population-level estimates from the American Community Survey to identify neighborhoods associated with altered brain structure. They observed a relationship between neighborhoods and brain health, suggesting the potential for neighborhood-based interventions.

ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING (2023)

暂无数据