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Depletion and activation of microglia impact metabolic connectivity of the mouse brain
AIM: We aimed to investigate the impact of microglial activity and microglial FDG uptake on metabolic connectivity, since microglial activation states determine FDG–PET alterations. Metabolic connectivity refers to a concept of interacting metabolic brain regions and receives growing interest in app...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951492/ https://www.ncbi.nlm.nih.gov/pubmed/36829182 http://dx.doi.org/10.1186/s12974-023-02735-8 |
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author | Gnörich, Johannes Reifschneider, Anika Wind, Karin Zatcepin, Artem Kunte, Sebastian T. Beumers, Philipp Bartos, Laura M. Wiedemann, Thomas Grosch, Maximilian Xiang, Xianyuan Fard, Maryam K. Ruch, Francois Werner, Georg Koehler, Mara Slemann, Luna Hummel, Selina Briel, Nils Blume, Tanja Shi, Yuan Biechele, Gloria Beyer, Leonie Eckenweber, Florian Scheifele, Maximilian Bartenstein, Peter Albert, Nathalie L. Herms, Jochen Tahirovic, Sabina Haass, Christian Capell, Anja Ziegler, Sibylle Brendel, Matthias |
author_facet | Gnörich, Johannes Reifschneider, Anika Wind, Karin Zatcepin, Artem Kunte, Sebastian T. Beumers, Philipp Bartos, Laura M. Wiedemann, Thomas Grosch, Maximilian Xiang, Xianyuan Fard, Maryam K. Ruch, Francois Werner, Georg Koehler, Mara Slemann, Luna Hummel, Selina Briel, Nils Blume, Tanja Shi, Yuan Biechele, Gloria Beyer, Leonie Eckenweber, Florian Scheifele, Maximilian Bartenstein, Peter Albert, Nathalie L. Herms, Jochen Tahirovic, Sabina Haass, Christian Capell, Anja Ziegler, Sibylle Brendel, Matthias |
author_sort | Gnörich, Johannes |
collection | PubMed |
description | AIM: We aimed to investigate the impact of microglial activity and microglial FDG uptake on metabolic connectivity, since microglial activation states determine FDG–PET alterations. Metabolic connectivity refers to a concept of interacting metabolic brain regions and receives growing interest in approaching complex cerebral metabolic networks in neurodegenerative diseases. However, underlying sources of metabolic connectivity remain to be elucidated. MATERIALS AND METHODS: We analyzed metabolic networks measured by interregional correlation coefficients (ICCs) of FDG–PET scans in WT mice and in mice with mutations in progranulin (Grn) or triggering receptor expressed on myeloid cells 2 (Trem2) knockouts ((−/−)) as well as in double mutant Grn(−/−)/Trem2(−/−) mice. We selected those rodent models as they represent opposite microglial signatures with disease associated microglia in Grn(−/−) mice and microglia locked in a homeostatic state in Trem2(−/−) mice; however, both resulting in lower glucose uptake of the brain. The direct influence of microglia on metabolic networks was further determined by microglia depletion using a CSF1R inhibitor in WT mice at two different ages. Within maps of global mean scaled regional FDG uptake, 24 pre-established volumes of interest were applied and assigned to either cortical or subcortical networks. ICCs of all region pairs were calculated and z-transformed prior to group comparisons. FDG uptake of neurons, microglia, and astrocytes was determined in Grn(−/−) and WT mice via assessment of single cell tracer uptake (scRadiotracing). RESULTS: Microglia depletion by CSF1R inhibition resulted in a strong decrease of metabolic connectivity defined by decrease of mean cortical ICCs in WT mice at both ages studied (6–7 m; p = 0.0148, 9–10 m; p = 0.0191), when compared to vehicle-treated age-matched WT mice. Grn(−/−), Trem2(−/−) and Grn(−/−)/Trem2(−/−) mice all displayed reduced FDG–PET signals when compared to WT mice. However, when analyzing metabolic networks, a distinct increase of ICCs was observed in Grn(−/−) mice when compared to WT mice in cortical (p < 0.0001) and hippocampal (p < 0.0001) networks. In contrast, Trem2(−/−) mice did not show significant alterations in metabolic connectivity when compared to WT. Furthermore, the increased metabolic connectivity in Grn(−/−) mice was completely suppressed in Grn(−/−)/Trem2(−/−) mice. Grn(−/−) mice exhibited a severe loss of neuronal FDG uptake (− 61%, p < 0.0001) which shifted allocation of cellular brain FDG uptake to microglia (42% in Grn(−/−) vs. 22% in WT). CONCLUSIONS: Presence, absence, and activation of microglia have a strong impact on metabolic connectivity of the mouse brain. Enhanced metabolic connectivity is associated with increased microglial FDG allocation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-023-02735-8. |
format | Online Article Text |
id | pubmed-9951492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99514922023-02-25 Depletion and activation of microglia impact metabolic connectivity of the mouse brain Gnörich, Johannes Reifschneider, Anika Wind, Karin Zatcepin, Artem Kunte, Sebastian T. Beumers, Philipp Bartos, Laura M. Wiedemann, Thomas Grosch, Maximilian Xiang, Xianyuan Fard, Maryam K. Ruch, Francois Werner, Georg Koehler, Mara Slemann, Luna Hummel, Selina Briel, Nils Blume, Tanja Shi, Yuan Biechele, Gloria Beyer, Leonie Eckenweber, Florian Scheifele, Maximilian Bartenstein, Peter Albert, Nathalie L. Herms, Jochen Tahirovic, Sabina Haass, Christian Capell, Anja Ziegler, Sibylle Brendel, Matthias J Neuroinflammation Research AIM: We aimed to investigate the impact of microglial activity and microglial FDG uptake on metabolic connectivity, since microglial activation states determine FDG–PET alterations. Metabolic connectivity refers to a concept of interacting metabolic brain regions and receives growing interest in approaching complex cerebral metabolic networks in neurodegenerative diseases. However, underlying sources of metabolic connectivity remain to be elucidated. MATERIALS AND METHODS: We analyzed metabolic networks measured by interregional correlation coefficients (ICCs) of FDG–PET scans in WT mice and in mice with mutations in progranulin (Grn) or triggering receptor expressed on myeloid cells 2 (Trem2) knockouts ((−/−)) as well as in double mutant Grn(−/−)/Trem2(−/−) mice. We selected those rodent models as they represent opposite microglial signatures with disease associated microglia in Grn(−/−) mice and microglia locked in a homeostatic state in Trem2(−/−) mice; however, both resulting in lower glucose uptake of the brain. The direct influence of microglia on metabolic networks was further determined by microglia depletion using a CSF1R inhibitor in WT mice at two different ages. Within maps of global mean scaled regional FDG uptake, 24 pre-established volumes of interest were applied and assigned to either cortical or subcortical networks. ICCs of all region pairs were calculated and z-transformed prior to group comparisons. FDG uptake of neurons, microglia, and astrocytes was determined in Grn(−/−) and WT mice via assessment of single cell tracer uptake (scRadiotracing). RESULTS: Microglia depletion by CSF1R inhibition resulted in a strong decrease of metabolic connectivity defined by decrease of mean cortical ICCs in WT mice at both ages studied (6–7 m; p = 0.0148, 9–10 m; p = 0.0191), when compared to vehicle-treated age-matched WT mice. Grn(−/−), Trem2(−/−) and Grn(−/−)/Trem2(−/−) mice all displayed reduced FDG–PET signals when compared to WT mice. However, when analyzing metabolic networks, a distinct increase of ICCs was observed in Grn(−/−) mice when compared to WT mice in cortical (p < 0.0001) and hippocampal (p < 0.0001) networks. In contrast, Trem2(−/−) mice did not show significant alterations in metabolic connectivity when compared to WT. Furthermore, the increased metabolic connectivity in Grn(−/−) mice was completely suppressed in Grn(−/−)/Trem2(−/−) mice. Grn(−/−) mice exhibited a severe loss of neuronal FDG uptake (− 61%, p < 0.0001) which shifted allocation of cellular brain FDG uptake to microglia (42% in Grn(−/−) vs. 22% in WT). CONCLUSIONS: Presence, absence, and activation of microglia have a strong impact on metabolic connectivity of the mouse brain. Enhanced metabolic connectivity is associated with increased microglial FDG allocation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-023-02735-8. BioMed Central 2023-02-24 /pmc/articles/PMC9951492/ /pubmed/36829182 http://dx.doi.org/10.1186/s12974-023-02735-8 Text en © The Author(s) 2023 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. |
spellingShingle | Research Gnörich, Johannes Reifschneider, Anika Wind, Karin Zatcepin, Artem Kunte, Sebastian T. Beumers, Philipp Bartos, Laura M. Wiedemann, Thomas Grosch, Maximilian Xiang, Xianyuan Fard, Maryam K. Ruch, Francois Werner, Georg Koehler, Mara Slemann, Luna Hummel, Selina Briel, Nils Blume, Tanja Shi, Yuan Biechele, Gloria Beyer, Leonie Eckenweber, Florian Scheifele, Maximilian Bartenstein, Peter Albert, Nathalie L. Herms, Jochen Tahirovic, Sabina Haass, Christian Capell, Anja Ziegler, Sibylle Brendel, Matthias Depletion and activation of microglia impact metabolic connectivity of the mouse brain |
title | Depletion and activation of microglia impact metabolic connectivity of the mouse brain |
title_full | Depletion and activation of microglia impact metabolic connectivity of the mouse brain |
title_fullStr | Depletion and activation of microglia impact metabolic connectivity of the mouse brain |
title_full_unstemmed | Depletion and activation of microglia impact metabolic connectivity of the mouse brain |
title_short | Depletion and activation of microglia impact metabolic connectivity of the mouse brain |
title_sort | depletion and activation of microglia impact metabolic connectivity of the mouse brain |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951492/ https://www.ncbi.nlm.nih.gov/pubmed/36829182 http://dx.doi.org/10.1186/s12974-023-02735-8 |
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