Cited by 213Complement system in diseasesAlzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

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Complement in the pathogenesis of Alzheimer’s disease

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Morgan, B. Paul·2018·Seminars in Immunopathology

DOI 10.1007/s00281-017-0662-9PMC PMC5794825

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Abstract

The emergence of complement as an important player in normal brain development and pathological remodelling has come as a major surprise to most scientists working in neuroscience and almost all those working in complement. That a system, evolved to protect the host against infection, should have these unanticipated roles has forced a rethink about what complement might be doing in the brain in health and disease, where it is coming from, and whether we can, or indeed should, manipulate complement in the brain to improve function or restore homeostasis. Complement has been implicated in diverse neurological and neuropsychiatric diseases well reviewed elsewhere, from depression through epilepsy to demyelination and dementia, in most complement drives inflammation to exacerbate the disease. Here, I will focus on just one disease, the most common cause of dementia, Alzheimer's disease. I will briefly review the current understanding of what complement does in the normal brain, noting, in particular, the many gaps in understanding, then describe how complement may influence the genesis and progression of pathology in Alzheimer's disease. Finally, I will discuss the problems and pitfalls of therapeutic inhibition of complement in the Alzheimer brain.

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Harold, D., Abraham, R., Hollingworth, P., Sims, R., Gerrish, A., Hamshere, M. L., Pahwa, J. S., Moskvina, V., Dowzell, K., Williams, A., et al. (2009) · Nature Genetics · doi:10.1038/ng.440 · Cited by 3,326
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the European Alzheimer's Disease Initiative Investigators, Lambert, J.-C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., Combarros, O., Zelenika, D., Bullido, M. J., et al. (2009) · Nature Genetics · doi:10.1038/ng.439 · Cited by 2,234
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Additional file 1 of Proteomic landscape of Alzheimer’s Disease: novel insights into pathogenesis and biomarker discovery
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Additional file 2 of Sex-specific DNA methylation differences in Alzheimer’s disease pathology
Zhang, L., Young, J. I., Gomez, L., Silva, T. C., Schmidt, M. A., Cai, J., Chen, X., Martin, E. R., & Wang, L. (2021) · Figshare · doi:10.6084/m9.figshare.14490464
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Ghinea, F. S., Ionică, M. V., Liliac, I. M., Pătru, S., Olaru, D. G., & Popa‐Wagner, A. (2024) · PubMed Central · doi:10.12865/chsj.50.01.17
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Additional file 2 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26085212
Additional file 4 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26737959
Additional file 1 of Sex-specific DNA methylation differences in Alzheimer’s disease pathology
Zhang, L., Young, J. I., Gomez, L., Silva, T. C., Schmidt, M. A., Cai, J., Chen, X., Martin, E. R., & Wang, L. (2021) · Figshare · doi:10.6084/m9.figshare.14490461
Additional file 10 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26704734
Additional file 11 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26737980
Additional file 6 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26704722
Additional file 4 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26704716
Additional file 8 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26704728
Additional file 3 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26704713
Additional file 1 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25583880
Additional file 6 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26737965
Additional file 10 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26737977
Additional file 8 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26737971
Additional file 5 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26737962
Additional file 1 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26085125
Additional file 11 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26704737
Additional file 9 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26704731
Additional file 9 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26737974
Additional file 5 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26704719
Additional file 12 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26737983
Additional file 3 of Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients
Barber, A. J., del Genio, C. L., Swain, A. B., Pizzi, E. M., Watson, S. C., Tapiavala, V. N., Zanazzi, G. J., & Gaur, A. B. (2024) · Figshare · doi:10.6084/m9.figshare.26737956
Additional file 7 of An integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26704725

Authors: Morgan, B. P.
Affiliations: Cardiff University (GB)
Corresponding author: Morgan, B. Paul
ORCID: Morgan, B. Paul
Venue: Seminars in Immunopathology
Publisher: Springer Science and Business Media LLC
Published: 2017-11-13
Volume: 40
Issue: 1
Pages: 113-124
ISSN: 1863-2297 (ISSN-L)
1863-2300
DOI: 10.1007/s00281-017-0662-9
PMC: PMC5794825
OpenAlex: W2769984699
Cited by: 194
References: 93
Citations by year: 2026: 14 · 2025: 16 · 2024: 35 · 2023: 16 · 2022: 18 · 2021: 32 · 2020: 31 · 2019: 22 · 2018: 10
FWCI: 1.77
Type: journal article
Language: en
Update notices: correction (2018-09-21)
Open access: hybrid
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0 (unspecified)
Locations: Seminars in Immunopathology (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
Funders: Cardiff University
Topics: Life Sciences › Immunology and Microbiology › Immunology › Complement system in diseases
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords: complement system, Alzheimer's disease, complement inhibition therapy, neuroinflammation, brain homeostasis, dementia pathogenesis

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