Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia
BACKGROUND: Genetic mutations underlying familial Alzheimer’s disease (AD) were identified decades ago, but the field is still in search of transformative therapies for patients. While mouse models based on overexpression of mutated transgenes have yielded key insights in mechanisms of disease, thos...
Published in: | Molecular Neurodegeneration |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Text |
Language: | English |
Published: |
BioMed Central
2022
|
Subjects: | |
Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188195/ http://www.ncbi.nlm.nih.gov/pubmed/35690868 https://doi.org/10.1186/s13024-022-00547-7 |
id |
ftpubmed:oai:pubmedcentral.nih.gov:9188195 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Research Article |
spellingShingle |
Research Article Xia, Dan Lianoglou, Steve Sandmann, Thomas Calvert, Meredith Suh, Jung H. Thomsen, Elliot Dugas, Jason Pizzo, Michelle E. DeVos, Sarah L. Earr, Timothy K. Lin, Chia-Ching Davis, Sonnet Ha, Connie Leung, Amy Wing-Sze Nguyen, Hoang Chau, Roni Yulyaningsih, Ernie Lopez, Isabel Solanoy, Hilda Masoud, Shababa T. Liang, Chun-chi Lin, Karin Astarita, Giuseppe Khoury, Nathalie Zuchero, Joy Yu Thorne, Robert G. Shen, Kevin Miller, Stephanie Palop, Jorge J. Garceau, Dylan Sasner, Michael Whitesell, Jennifer D. Harris, Julie A. Hummel, Selina Gnörich, Johannes Wind, Karin Kunze, Lea Zatcepin, Artem Brendel, Matthias Willem, Michael Haass, Christian Barnett, Daniel Zimmer, Till S. Orr, Anna G. Scearce-Levie, Kimberly Lewcock, Joseph W. Di Paolo, Gilbert Sanchez, Pascal E. Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia |
topic_facet |
Research Article |
description |
BACKGROUND: Genetic mutations underlying familial Alzheimer’s disease (AD) were identified decades ago, but the field is still in search of transformative therapies for patients. While mouse models based on overexpression of mutated transgenes have yielded key insights in mechanisms of disease, those models are subject to artifacts, including random genetic integration of the transgene, ectopic expression and non-physiological protein levels. The genetic engineering of novel mouse models using knock-in approaches addresses some of those limitations. With mounting evidence of the role played by microglia in AD, high-dimensional approaches to phenotype microglia in those models are critical to refine our understanding of the immune response in the brain. METHODS: We engineered a novel App knock-in mouse model (App(SAA)) using homologous recombination to introduce three disease-causing coding mutations (Swedish, Arctic and Austrian) to the mouse App gene. Amyloid-β pathology, neurodegeneration, glial responses, brain metabolism and behavioral phenotypes were characterized in heterozygous and homozygous App(SAA) mice at different ages in brain and/ or biofluids. Wild type littermate mice were used as experimental controls. We used in situ imaging technologies to define the whole-brain distribution of amyloid plaques and compare it to other AD mouse models and human brain pathology. To further explore the microglial response to AD relevant pathology, we isolated microglia with fibrillar Aβ content from the brain and performed transcriptomics and metabolomics analyses and in vivo brain imaging to measure energy metabolism and microglial response. Finally, we also characterized the mice in various behavioral assays. RESULTS: Leveraging multi-omics approaches, we discovered profound alteration of diverse lipids and metabolites as well as an exacerbated disease-associated transcriptomic response in microglia with high intracellular Aβ content. The App(SAA) knock-in mouse model recapitulates key pathological features of ... |
format |
Text |
author |
Xia, Dan Lianoglou, Steve Sandmann, Thomas Calvert, Meredith Suh, Jung H. Thomsen, Elliot Dugas, Jason Pizzo, Michelle E. DeVos, Sarah L. Earr, Timothy K. Lin, Chia-Ching Davis, Sonnet Ha, Connie Leung, Amy Wing-Sze Nguyen, Hoang Chau, Roni Yulyaningsih, Ernie Lopez, Isabel Solanoy, Hilda Masoud, Shababa T. Liang, Chun-chi Lin, Karin Astarita, Giuseppe Khoury, Nathalie Zuchero, Joy Yu Thorne, Robert G. Shen, Kevin Miller, Stephanie Palop, Jorge J. Garceau, Dylan Sasner, Michael Whitesell, Jennifer D. Harris, Julie A. Hummel, Selina Gnörich, Johannes Wind, Karin Kunze, Lea Zatcepin, Artem Brendel, Matthias Willem, Michael Haass, Christian Barnett, Daniel Zimmer, Till S. Orr, Anna G. Scearce-Levie, Kimberly Lewcock, Joseph W. Di Paolo, Gilbert Sanchez, Pascal E. |
author_facet |
Xia, Dan Lianoglou, Steve Sandmann, Thomas Calvert, Meredith Suh, Jung H. Thomsen, Elliot Dugas, Jason Pizzo, Michelle E. DeVos, Sarah L. Earr, Timothy K. Lin, Chia-Ching Davis, Sonnet Ha, Connie Leung, Amy Wing-Sze Nguyen, Hoang Chau, Roni Yulyaningsih, Ernie Lopez, Isabel Solanoy, Hilda Masoud, Shababa T. Liang, Chun-chi Lin, Karin Astarita, Giuseppe Khoury, Nathalie Zuchero, Joy Yu Thorne, Robert G. Shen, Kevin Miller, Stephanie Palop, Jorge J. Garceau, Dylan Sasner, Michael Whitesell, Jennifer D. Harris, Julie A. Hummel, Selina Gnörich, Johannes Wind, Karin Kunze, Lea Zatcepin, Artem Brendel, Matthias Willem, Michael Haass, Christian Barnett, Daniel Zimmer, Till S. Orr, Anna G. Scearce-Levie, Kimberly Lewcock, Joseph W. Di Paolo, Gilbert Sanchez, Pascal E. |
author_sort |
Xia, Dan |
title |
Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia |
title_short |
Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia |
title_full |
Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia |
title_fullStr |
Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia |
title_full_unstemmed |
Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia |
title_sort |
novel app knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia |
publisher |
BioMed Central |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188195/ http://www.ncbi.nlm.nih.gov/pubmed/35690868 https://doi.org/10.1186/s13024-022-00547-7 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Mol Neurodegener |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188195/ http://www.ncbi.nlm.nih.gov/pubmed/35690868 http://dx.doi.org/10.1186/s13024-022-00547-7 |
op_rights |
© The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
op_rightsnorm |
CC0 PDM CC-BY |
op_doi |
https://doi.org/10.1186/s13024-022-00547-7 |
container_title |
Molecular Neurodegeneration |
container_volume |
17 |
container_issue |
1 |
_version_ |
1766344637451075584 |
spelling |
ftpubmed:oai:pubmedcentral.nih.gov:9188195 2023-05-15T15:14:09+02:00 Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia Xia, Dan Lianoglou, Steve Sandmann, Thomas Calvert, Meredith Suh, Jung H. Thomsen, Elliot Dugas, Jason Pizzo, Michelle E. DeVos, Sarah L. Earr, Timothy K. Lin, Chia-Ching Davis, Sonnet Ha, Connie Leung, Amy Wing-Sze Nguyen, Hoang Chau, Roni Yulyaningsih, Ernie Lopez, Isabel Solanoy, Hilda Masoud, Shababa T. Liang, Chun-chi Lin, Karin Astarita, Giuseppe Khoury, Nathalie Zuchero, Joy Yu Thorne, Robert G. Shen, Kevin Miller, Stephanie Palop, Jorge J. Garceau, Dylan Sasner, Michael Whitesell, Jennifer D. Harris, Julie A. Hummel, Selina Gnörich, Johannes Wind, Karin Kunze, Lea Zatcepin, Artem Brendel, Matthias Willem, Michael Haass, Christian Barnett, Daniel Zimmer, Till S. Orr, Anna G. Scearce-Levie, Kimberly Lewcock, Joseph W. Di Paolo, Gilbert Sanchez, Pascal E. 2022-06-11 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188195/ http://www.ncbi.nlm.nih.gov/pubmed/35690868 https://doi.org/10.1186/s13024-022-00547-7 en eng BioMed Central http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188195/ http://www.ncbi.nlm.nih.gov/pubmed/35690868 http://dx.doi.org/10.1186/s13024-022-00547-7 © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. CC0 PDM CC-BY Mol Neurodegener Research Article Text 2022 ftpubmed https://doi.org/10.1186/s13024-022-00547-7 2022-06-19T00:41:06Z BACKGROUND: Genetic mutations underlying familial Alzheimer’s disease (AD) were identified decades ago, but the field is still in search of transformative therapies for patients. While mouse models based on overexpression of mutated transgenes have yielded key insights in mechanisms of disease, those models are subject to artifacts, including random genetic integration of the transgene, ectopic expression and non-physiological protein levels. The genetic engineering of novel mouse models using knock-in approaches addresses some of those limitations. With mounting evidence of the role played by microglia in AD, high-dimensional approaches to phenotype microglia in those models are critical to refine our understanding of the immune response in the brain. METHODS: We engineered a novel App knock-in mouse model (App(SAA)) using homologous recombination to introduce three disease-causing coding mutations (Swedish, Arctic and Austrian) to the mouse App gene. Amyloid-β pathology, neurodegeneration, glial responses, brain metabolism and behavioral phenotypes were characterized in heterozygous and homozygous App(SAA) mice at different ages in brain and/ or biofluids. Wild type littermate mice were used as experimental controls. We used in situ imaging technologies to define the whole-brain distribution of amyloid plaques and compare it to other AD mouse models and human brain pathology. To further explore the microglial response to AD relevant pathology, we isolated microglia with fibrillar Aβ content from the brain and performed transcriptomics and metabolomics analyses and in vivo brain imaging to measure energy metabolism and microglial response. Finally, we also characterized the mice in various behavioral assays. RESULTS: Leveraging multi-omics approaches, we discovered profound alteration of diverse lipids and metabolites as well as an exacerbated disease-associated transcriptomic response in microglia with high intracellular Aβ content. The App(SAA) knock-in mouse model recapitulates key pathological features of ... Text Arctic PubMed Central (PMC) Arctic Molecular Neurodegeneration 17 1 |