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,...

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Published in:Molecular Neurodegeneration
Main Authors: 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, Hoang, Nguyen, 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, Gnorich, 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.
Format: Article in Journal/Newspaper
Language:English
Published: Ludwig-Maximilians-Universität München 2022
Subjects:
Online Access:https://epub.ub.uni-muenchen.de/115061/1/s13024-022-00547-7.pdf
https://epub.ub.uni-muenchen.de/115061/
http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-115061-2
https://doi.org/10.1186/s13024-022-00547-7
id ftmuenchenepub:oai:epub.ub.uni-muenchen.de:115061
record_format openpolar
institution Open Polar
collection Open Access LMU (Ludwig-Maximilians-University Munich)
op_collection_id ftmuenchenepub
language English
topic Medizin
Munich Cluster for Systems Neurology (SyNergy)
ddc:610
spellingShingle Medizin
Munich Cluster for Systems Neurology (SyNergy)
ddc:610
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
Hoang, Nguyen
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
Gnorich, 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 Medizin
Munich Cluster for Systems Neurology (SyNergy)
ddc:610
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-beta 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 A beta 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 A beta content. The App(SAA) knock-in mouse model recapitulates key pathological ...
format Article in Journal/Newspaper
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
Hoang, Nguyen
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
Gnorich, 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
Hoang, Nguyen
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
Gnorich, 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 Ludwig-Maximilians-Universität München
publishDate 2022
url https://epub.ub.uni-muenchen.de/115061/1/s13024-022-00547-7.pdf
https://epub.ub.uni-muenchen.de/115061/
http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-115061-2
https://doi.org/10.1186/s13024-022-00547-7
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Molecular Neurodegeneration
op_relation 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; Hoang, Nguyen; 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; Gnorich, 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 und Sanchez, Pascal E. (2022): Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia. In: Molecular Neurodegeneration, Bd. 17, Nr. 1, 41 [PDF, 12MB]
https://epub.ub.uni-muenchen.de/115061/1/s13024-022-00547-7.pdf
http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-115061-2
https://epub.ub.uni-muenchen.de/115061/
doi:10.1186/s13024-022-00547-7
op_doi https://doi.org/10.1186/s13024-022-00547-7
container_title Molecular Neurodegeneration
container_volume 17
container_issue 1
_version_ 1802641791720095744
spelling ftmuenchenepub:oai:epub.ub.uni-muenchen.de:115061 2024-06-23T07:50:51+00:00 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 Hoang, Nguyen 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 Gnorich, 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. 2022-01-01 application/pdf https://epub.ub.uni-muenchen.de/115061/1/s13024-022-00547-7.pdf https://epub.ub.uni-muenchen.de/115061/ http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-115061-2 https://doi.org/10.1186/s13024-022-00547-7 eng eng Ludwig-Maximilians-Universität München 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; Hoang, Nguyen; 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; Gnorich, 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 und Sanchez, Pascal E. (2022): Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia. In: Molecular Neurodegeneration, Bd. 17, Nr. 1, 41 [PDF, 12MB] https://epub.ub.uni-muenchen.de/115061/1/s13024-022-00547-7.pdf http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-115061-2 https://epub.ub.uni-muenchen.de/115061/ doi:10.1186/s13024-022-00547-7 Molecular Neurodegeneration Medizin Munich Cluster for Systems Neurology (SyNergy) ddc:610 doc-type:article Zeitschriftenartikel NonPeerReviewed 2022 ftmuenchenepub https://doi.org/10.1186/s13024-022-00547-7 2024-06-12T01:42:35Z 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-beta 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 A beta 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 A beta content. The App(SAA) knock-in mouse model recapitulates key pathological ... Article in Journal/Newspaper Arctic Open Access LMU (Ludwig-Maximilians-University Munich) Arctic Molecular Neurodegeneration 17 1