Distinct dynamic profiles of microglial activation are associated with progression of Alzheimer's disease
Open accessAbstract
Although brain neuroinflammation may play an instrumental role in the pathophysiology of Alzheimer's disease, its actual impact on disease progression remains controversial, being reported as either detrimental or protective. This work aimed at investigating the temporal relationship between microglial activation and clinical progression of Alzheimer's disease. First, in a large cohort of patients with Alzheimer's disease we analysed the predictive value of microglial activation assessed by 18F-DPA-714 PET imaging on functional, cognitive and MRI biomarkers outcomes after a 2-year follow-up. Second, we analysed the longitudinal progression of 18F-DPA-714 binding in patients with Alzheimer's disease by comparison with controls, and assessed its influence on clinical progression. At baseline, all participants underwent a clinical assessment, brain MRI, 11C-PiB, 18F-DPA-714 PET imaging and TSPO genotyping. Participants were followed-up annually for 2 years. At the end of the study, subjects were asked to repeat a second 18F-DPA-714-PET imaging. Initial 18F-DPA-714 binding was higher in prodromal (n = 33) and in demented patients with Alzheimer's disease (n = 19) compared to controls (n = 17). After classifying patients into slow and fast decliners according to functional (Clinical Dementia Rating change) or cognitive (Mini-Mental State Examination score decline) outcomes, we found a higher initial 18F-DPA-714 binding in slow than fast decliners. Negative correlations were observed between initial 18F-DPA-714 binding and the Clinical Dementia Rating Sum of Boxes score increase, the MMSE score loss and the progression of hippocampal atrophy. This suggests that higher initial 18F-DPA-714 binding is associated with better clinical prognosis. Twenty-four patients with Alzheimer's disease and 15 control subjects performed a second DPA-PET. We observed an increase of 18F-DPA-714 in patients with Alzheimer's disease as compared with controls (mean 13.2% per year versus 4.2%) both at the prodromal (15.8%) and at the demented stages (8.3%). The positive correlations between change in 18F-DPA-714 binding over time and the three clinical outcome measures (Clinical Dementia Rating, Mini-Mental State Examination, hippocampal atrophy) suggested a detrimental effect on clinical Alzheimer's disease progression of increased neuroinflammation after the initial PET examination, without correlation with PiB-PET uptake at baseline. High initial 18F-DPA-714 binding was correlated with a low subsequent increase of microglial activation and favourable clinical evolution, whereas the opposite profile was observed when initial 18F-DPA-714 binding was low, independently of disease severity at baseline. Taken together, our results support a pathophysiological model involving two distinct profiles of microglial activation signatures with different dynamics, which differentially impact on disease progression and may vary depending on patients rather than disease stages.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Alzheimer's disease can be associated with other brain pathologies, including α-synucleinopathy, vascular pathology, non-Alzheimer's disease tauopathies, and TDP-43 pathology.
“Alzheimer’s disease can be associated with other brain pathologies, including α-synucleinopathy,56 vascular pathology, non-Alzheimer’s disease tauopathies, and TDP-43 pathology.40,42–44”
From Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group (2021) · cites this paper as [56]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Neuroinflammation in Alzheimer's disease
Heneka, M. T., Carson, M. J., Khoury, J. E., Landreth, G. E., Brosseron, F., Feinstein, D. L., Jacobs, A. H., Wyss-Coray, T., Vitorica, J., Ransohoff, R. M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)70016-5 · Cited by 6,226 · see citing works
Differential Roles of M1 and M2 Microglia in Neurodegenerative Diseases
Tang, Y., & Le, W. (2016) · Molecular Neurobiology · doi:10.1007/s12035-014-9070-5 · Cited by 2,190 · see citing works
Revising the definition of Alzheimer's disease: a new lexicon
Dubois, B., Feldman, H. H., Jacova, C., Cummings, J. L., DeKosky, S. T., Barberger-Gateau, P., Delacourte, A., Frisoni, G., Fox, N. C., Galasko, D., et al. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70223-4 · Cited by 1,869 · see citing works
Self-citationInnate immune activation in neurodegenerative disease
Heneka, M. T., Kummer, M. P., & Latz, E. (2014) · Nature Reviews Immunology · doi:10.1038/nri3705 · Cited by 1,437 · see citing works
In-vivo measurement of activated microglia in dementia
Cagnin, A., Brooks, D. J., Kennedy, A. M., Gunn, R. N., Myers, R., Turkheimer, F. E., Jones, T., & Banati, R. B. (2001) · The Lancet · doi:10.1016/s0140-6736(01)05625-2 · Cited by 1,054 · see citing works
Lopresti, B. J., Klunk, W. E., Mathis, C. A., Hoge, J. A., Ziolko, S. K., Lu, X., MELTZER, C. C., Schimmel, K., Tsopelas, N. D., DeKosky, S. T., et al. (2005) · PubMed · Cited by 536 · see citing works
Hamelin, L., Lagarde, J., Dorothée, G., Leroy, C., Labit, M., Comley, R. A., de Souza, L. C., Corne, H., Dauphinot, L., Bertoux, M., et al. (2016) · Brain · doi:10.1093/brain/aww017 · Cited by 519 · see citing works
Self-citationEdison, P., Archer, H. A., Gerhard, A., Hinz, R., Pavese, N., Turkheimer, F. E., Hammers, A., Tai, Y. F., Fox, N., Kennedy, A., et al. (2008) · Neurobiology of Disease · doi:10.1016/j.nbd.2008.08.001 · Cited by 513 · see citing works
Amnestic syndrome of the medial temporal type identifies prodromal AD
Sarazin, M., Berr, C., de Rotrou, J., Fabrigoule, C., Pasquier, F., Legrain, S., Michel, B. F., Puel, M., Volteau, M., Touchon, J., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000279336.36610.f7 · Cited by 464 · see citing works
Self-citationAn early and late peak in microglial activation in Alzheimer’s disease trajectory
Fan, Z., Brooks, D. J., Okello, A., & Edison, P. (2017) · Brain · doi:10.1093/brain/aww349 · Cited by 422 · see citing works
Microglial activation and amyloid deposition in mild cognitive impairment: A PET study
Okello, A., Edison, P., Archer, H. A., Turkheimer, F. E., Kennedy, J., Bullock, R., Walker, Z., Kennedy, A., Fox, N., Rossor, M., et al. (2009) · Neurology · doi:10.1212/01.wnl.0000338622.27876.0d · Cited by 367 · see citing works
Mixed-Affinity Binding in Humans with 18-kDa Translocator Protein Ligands
Owen, D. R., Gunn, R. N., Rabiner, E. A., Bennacef, I., Fujita, M., Kreisl, W. C., Innis, R. B., Pike, V. W., Reynolds, R., Matthews, P. M., et al. (2010) · Journal of Nuclear Medicine · doi:10.2967/jnumed.110.079459 · Cited by 361 · see citing works
Regulatory T cells delay disease progression in Alzheimer-like pathology
Dansokho, C., Ahmed, D. A., Aïd, S., Toly‐Ndour, C., Chaigneau, T., Calle, V., Cagnard, N., Holzenberger, M., Piaggio, E., Aucouturier, P., et al. (2016) · Brain · doi:10.1093/brain/awv408 · Cited by 359 · see citing works
Self-citationIn vivo radioligand binding to translocator protein correlates with severity of Alzheimer’s disease
Kreisl, W. C., Lyoo, C. H., McGwier, M., Snow, J., Jenko, K. J., Kimura, N., Corona, W., Morse, C. L., Zoghbi, S. S., Pike, V. W., et al. (2013) · Brain · doi:10.1093/brain/awt145 · Cited by 350 · see citing works
de Jong, H. W. A. M., van Velden, F. H. P., Kloet, R. W., Buijs, F. L., Boellaard, R., & Lammertsma, A. A. (2007) · Physics in Medicine and Biology · doi:10.1088/0031-9155/52/5/019 · Cited by 347 · see citing works
Microglia actions in Alzheimer's disease
Prokop, S., Miller, K. R., & Heppner, F. L. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1182-x · Cited by 291 · see citing works
Lyoo, C. H., Ikawa, M., Liow, J., Zoghbi, S. S., Morse, C. L., Pike, V. W., Fujita, M., Innis, R. B., & Kreisl, W. C. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.146027 · Cited by 237 · see citing works
Chauveau, F., Camp, N. V., Dollé, F., Kühnast, B., Hinnen, F., Damont, A., Boutin, H., James, M. L., Kassiou, M., & Tavitian, B. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.058669 · Cited by 236 · see citing works
Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph
Sureau, F. C., Reader, A. J., Comtat, C., Leroy, C., Ribeiro, M. J., Buvat, I., & Trébossen, R. (2008) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.045351 · Cited by 232 · see citing works
Microglial immunophenotype in dementia with Alzheimer’s pathology
CFAS, M., Minett, T., Classey, J., Matthews, F. E., Fahrenhold, M., Taga, M., Brayne, C., Ince, P. G., Nicoll, J. A. R., & Boche, D. (2016) · Journal of Neuroinflammation · doi:10.1186/s12974-016-0601-z · Cited by 219 · see citing works
Fan, Z., Aman, Y., Ahmed, I., Chetelat, G., Landeau, B., Ray Chaudhuri, K., Brooks, D. J., & Edison, P. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.016 · Cited by 212 · see citing works
Parbo, P., Ismail, R., Hansen, K. V., Amidi, A., Mårup, F. H., Gottrup, H., Brændgaard, H., Eriksson, B. O., Eskildsen, S. F., Lund, T. E., et al. (2017) · Brain · doi:10.1093/brain/awx120 · Cited by 199 · see citing works
Marie Chupin, A., Hammers, A., Liu, R. S. N., Colliot, O., Burdett, J. L., Bardinet, É., Duncan, J. S., Garnero, L., & Lemieux, L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.013 · Cited by 181 · see citing works
11C-PBR28 binding to translocator protein increases with progression of Alzheimer's disease
Kreisl, W. C., Lyoo, C. H., Liow, J., Wei, M. H., Snow, J., Page, E., Jenko, K. J., Morse, C. L., Zoghbi, S. S., Pike, V. W., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.04.011 · Cited by 176 · see citing works
Imaging Microglial Activation with TSPO PET: Lighting Up Neurologic Diseases?
Vivash, L., & O'Brien, T. (2016) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.141713 · Cited by 175 · see citing works
Yokokura, M., Mori, N., Yagi, S., Yoshikawa, E., Kikuchi, M., Yoshihara, Y., Wakuda, T., Sugihara, G., Takebayashi, K., Suda, S., et al. (2011) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-010-1612-0 · Cited by 174 · see citing works
Microglial activation in Alzheimer's disease: an (R)-[11C]PK11195 positron emission tomography study
Schuitemaker, A., Kropholler, M. A., Boellaard, R., van der Flier, W. M., Kloet, R. W., van der Doef, T. F., Knol, D. L., Windhorst, A. D., Luurtsema, G., Barkhof, F., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.04.021 · Cited by 167 · see citing works
Wiley, C. A., Lopresti, B. J., Venneti, S., Price, J. C., Klunk, W. E., DeKosky, S. T., & Mathis, C. A. (2009) · Archives of Neurology · doi:10.1001/archneurol.2008.511 · Cited by 160 · see citing works
Donepezil decreases annual rate of hippocampal atrophy in suspected prodromal Alzheimer's disease
Dubois, B., Marie Chupin, A., Hampel, H. J., Lista, S., Cavedo, E., Croisile, B., Louis-Tisserand, G., Touchon, J., Bonafé, A., Ousset, P., et al. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.10.003 · Cited by 140 · see citing works
Self-citationFan, Z., Okello, A. A., Brooks, D. J., & Edison, P. (2015) · Brain · doi:10.1093/brain/awv288 · Cited by 135 · see citing works
Similar amyloid-β burden in posterior cortical atrophy and Alzheimer's disease
de Souza, L. C., Corlier, F. W., Habert, M., Uspenskaya, O., Maroy, R., Lamari, F., Marie Chupin, A., Lehéricy, S., Olivier Colliot, A., Hahn‐Barma, V., et al. (2011) · Brain · doi:10.1093/brain/awr130 · Cited by 127 · see citing works
Self-citationYokokura, M., Terada, T., Bunai, T., Nakaizumi, K., Takebayashi, K., Iwata, Y., Yoshikawa, E., Futatsubashi, M., Suzuki, K., Mori, N., et al. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16646788 · Cited by 85 · see citing works
Lavisse, S., García-Lorenzo, D., Peyronneau, M., Bodini, B., Thiriez, C., Kühnast, B., Comtat, C., Rémy, P., Stankoff, B., & Bottlaender, M. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.115.156083 · Cited by 75 · see citing works
Self-citationVBM anticipates the rate of progression of Alzheimer disease
Kinkingnéhun, S., Sarazin, M., Lehéricy, S., Guichart-Gomez, E., Hergueta, T., & Dubois, B. (2008) · Neurology · doi:10.1212/01.wnl.0000303960.01039.43 · Cited by 72 · see citing works
Self-citationIn vivo PET imaging of neuroinflammation in Alzheimer’s disease
Lagarde, J., Sarazin, M., & Bottlaender, M. (2017) · Journal of Neural Transmission · doi:10.1007/s00702-017-1731-x · Cited by 70 · see citing works
Self-citationAnti-inflammatory Signaling in Microglia Exacerbates Alzheimer’s Disease-Related Pathology
Michaud, J.-P., & Rivest, S. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.021 · Cited by 64 · see citing works
Kreisl, W. C., Lyoo, C. H., Liow, J., Snow, J., Page, E., Jenko, K. J., Morse, C. L., Zoghbi, S. S., Pike, V. W., Turner, R. S., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.12.006 · Cited by 50 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- 11 C](R)PK11195-PET and [ 11 C]PIB-PET study. Neurobiol Dis 2008; 32: 412-19.
Cited by
Sorted by citations
Neuroinflammation and depression: A review
Troubat, R., Barone, P., Leman, S., Desmidt, T., Cressant, A., Atanasova, B., Brizard, B., El Hage, W., Surget, A., Belzung, C., et al. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.14720 · Cited by 1,107 · see citing works
Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group
Dubois, B., Villain, N., Frisoni, G. B., Rabinovici, G. D., Sabbagh, M., Cappa, S., Bejanin, A., Bombois, S., Epelbaum, S., Teichmann, M., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00066-1 · Cited by 1,051 · see citing works
“Alzheimer’s disease can be associated with other brain pathologies, including synucleinopathy 28 , vascular pathology, non-AD tauopathies, and TDP-43 pathology 12–15 .”
BackgroundSelf-citationPeripheral and central immune system crosstalk in Alzheimer disease — a research prospectus
Bettcher, B. M., Tansey, M. G., Dorothée, G., & Heneka, M. T. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00549-x · Cited by 427 · see citing works
Self-citationTau-targeting therapies for Alzheimer disease: Current status and future directions
Congdon, E. E., Ji, C., Tetlow, A. M., Jiang, Y., & Sigurdsson, E. M. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00883-2 · Cited by 371 · see citing works
Microglial activation and tau burden predict cognitive decline in Alzheimer’s disease
Malpetti, M., Kievit, R. A., Passamonti, L., Jones, P. S., Tsvetanov, K. A., Rittman, T., Mak, E., Nicastro, N., Bevan-Jones, W. R., Su, L., et al. (2020) · Brain · doi:10.1093/brain/awaa088 · Cited by 194 · see citing works
The benefits of neuroinflammation for the repair of the injured central nervous system
Yong, H. Y. F., Rawji, K. S., Ghorbani, S., Xue, M., & Yong, V. W. (2019) · Cellular & Molecular Immunology · doi:10.1038/s41423-019-0223-3 · Cited by 190 · see citing works
Zhang, D., Li, S., Hou, L., Jing, L., Ruan, Z., Peng, B., Zhang, X., Hong, J.-S., Zhao, J., & Wang, Q. (2021) · Journal of Neuroinflammation · doi:10.1186/s12974-020-02065-z · Cited by 187 · see citing works
Fluid Biomarkers for Synaptic Dysfunction and Loss
Camporesi, E., Nilsson, J., Brinkmalm, A., Becker, B., Ashton, N. J., Blennow, K., & Zetterberg, H. (2020) · Biomarker Insights · doi:10.1177/1177271920950319 · Cited by 165 · see citing works
Early microglial activation and peripheral inflammation in dementia with Lewy bodies
Surendranathan, A., Su, L., Mak, E., Passamonti, L., Hong, Y. T., Arnold, R., Vázquez Rodríguez, P., Bevan-Jones, W. R., Brain, S. A. E., Fryer, T. D., et al. (2018) · Brain · doi:10.1093/brain/awy265 · Cited by 154 · see citing works
Ewers, M., Biechele, G., Suárez‐Calvet, M., Sacher, C., Blume, T., Morenas‐Rodriguez, E., Deming, Y., Piccio, L., Cruchaga, C., Kleinberger, G., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.202012308 · Cited by 133 · see citing works
Microglia and Astrocytes in Alzheimer’s Disease: Significance and Summary of Recent Advances
Deng, Q., Wu, C., Parker, E., Liu, T. C.-Y., Duan, R., & Yang, L. (2023) · Aging and disease · doi:10.14336/ad.2023.0907 · Cited by 102 · see citing works
In Vivo TSPO Signal and Neuroinflammation in Alzheimer’s Disease
Tournier, B. B., Tsartsalis, S., Ceyzériat, K., Garibotto, V., & Millet, P. (2020) · Cells · doi:10.3390/cells9091941 · Cited by 79 · see citing works
Prospects and challenges of imaging neuroinflammation beyond TSPO in Alzheimer’s disease
Faculty, O. B. O. T. M., Boche, D., Gerhard, A., & Rodriguez-Vieitez, E. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04462-w · Cited by 55 · see citing works
Hemonnot-Girard, A.-L., Meersseman, C., Pastore, M., Garcia, V., Linck, N., Rey, C., Chebbi, A., Jeanneteau, F., Ginsberg, S. D., Lachuer, J., et al. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02581-0 · Cited by 24 · see citing works
- Authors
- Hamelin, L., Lagarde, J., Dorothée, G., Potier, M. C., Corlier, F., Kuhnast, B., Caillé, F., Dubois, B., Fillon, L., Chupin, M., Bottlaender, M., & Sarazin, M.
- Affiliations
- Université Paris-Sud (FR)
- Inserm (FR)
- Centre National de la Recherche Scientifique (FR)
- University of Southern California (US)
- UMR 1023 IMIV, Service Hospitalier Frédéric Joliot, CEA, Inserm, Université Paris Sud, CNRS, Université Paris-Saclay, Orsay, France
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, Hôpital de la Pitié-Salpêtrière, Paris, France
- Corresponding author
- Bottlaender, Michel
- Sarazin, Marie
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-03-28
- Volume
- 141
- Issue
- 6
- Pages
- 1855-1870
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2794659745
- Cited by
- 177
- References
- 37
- Citations by year
- 2026: 12 · 2025: 25 · 2024: 33 · 2023: 28 · 2022: 13 · 2021: 26 · 2020: 20 · 2019: 16 · 2018: 4
- FWCI
- 7.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- European Commission (278850)
- Agence Nationale de la Recherche (ANR-10-IAIHU06, 10-IAIHU-06, ANR-10-IAHU-0006)
- Université Paris Descartes
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- 's disease, microglial activation, neuroinflammation, disease progression, clinical deterioration, hippocampal atrophy, prodromal Alzheimer's disease, clinical prognosis, [11C]PIB, cognitive decline, functional decline, Clinical Dementia Rating, Mini-Mental State Examination
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Analysis of Variance, Aniline Compounds, Brain Mapping, Female, Hippocampus, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Mental Status Schedule, Middle Aged, Neuropsychological Tests, Organoplatinum Compounds, Prospective Studies, Pyrazoles, Pyrimidines, Thiazoles, Amyloid beta-Peptides, Microglia, Disease Progression, Radiopharmaceuticals, Positron-Emission Tomography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review