The DOI matches its Crossref record; 34 of the 35 references it cites were found in a registry or an index.
Microglial activation in healthy aging
Abstract
Healthy brain aging is characterized by neuronal loss and decline of cognitive function. Neuronal loss is closely associated with microglial activation and postmortem studies have indeed suggested that activated microglia may be present in the aging brain. Microglial activation can be quantified in vivo using (R)-[(11)C]PK11195 and positron emission tomography. The purpose of this study was to measure specific binding of (R)-[(11)C]PK11195 in healthy subjects over a wide age range. Thirty-five healthy subjects (age range 19-79 years) were included. In all subjects 60-minute dynamic (R)-[(11)C]PK11195 scans were acquired. Specific binding of (R)-[(11)C]PK11195 was calculated using receptor parametric mapping in combination with supervised cluster analysis to extract the reference tissue input function. Increased binding of (R)-[(11)C]PK11195 with aging was found in frontal lobe, anterior and posterior cingulate cortex, medial inferior temporal lobe, insula, hippocampus, entorhinal cortex, thalamus, parietal and occipital lobes, and cerebellum. This indicates that activated microglia appear in several cortical and subcortical areas during healthy aging, suggesting widespread neuronal loss.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Several PET scan studies have revealed increased receptor binding of the TSPO ligands, R-[ 11 C]PK11195 and [ 11 C]vinpocetine, in the cortical and subcortical brain regions of healthy elderly participants (Gulyas et al, 2011;Schuitemaker et al, 2012).”
From Microglia Priming with Aging and Stress (2017) · cites this paper as Schuitemaker et al, 2012
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Multimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547
Accelerated image reconstruction using ordered subsets of projection data
Hudson, H. M., & Larkin, R. S. (1994) · IEEE Transactions on Medical Imaging · doi:10.1109/42.363108 · Cited by 3,713
Microglia: Active sensor and versatile effector cells in the normal and pathologic brain
Hanisch, U.-K., & Kettenmann, H. (2007) · Nature Neuroscience · doi:10.1038/nn1997 · Cited by 3,676
Simplified Reference Tissue Model for PET Receptor Studies
Lammertsma, A. A., & Hume, S. P. (1996) · NeuroImage · doi:10.1006/nimg.1996.0066 · Cited by 2,025
Self-citationConsensus Nomenclature for in vivo Imaging of Reversibly Binding Radioligands
Innis, R. B., Cunningham, V. J., Delforge, J., Fujita, M., Gjedde, A., Gunn, R. N., Holden, J., Houle, S., Huang, S.-C., Ichise, M., et al. (2007) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600493 · Cited by 1,955
Self-citationPapadopoulos, V., Baraldi, M., Guilarte, T. R., Knudsen, T. B., Lacapère, J.-J., Lindemann, P., Norenberg, M. D., Nutt, D., Weizman, A., Zhang, M.-R., et al. (2006) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2006.06.005 · Cited by 1,389
Debris clearance by microglia: an essential link between degeneration and regeneration
Neumann, H., Kotter, M. R., & Franklin, R. J. M. (2008) · Brain · doi:10.1093/brain/awn109 · Cited by 1,111
Parametric Imaging of Ligand-Receptor Binding in PET Using a Simplified Reference Region Model
Gunn, R. N., Lammertsma, A. A., Hume, S. P., & Cunningham, V. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0303 · Cited by 1,085
Self-citationIn-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
Research works printed but not linked: 2
- Boellaard, 2008, Performance of a modified supervised cluster algorithm for extracting reference tissue input functions from (R)-[11C]PK11195 PET studies, IEEE Medical Imaging Conference Program Edition, 2008, 209
- Brix, 1997, Performance evaluation of a whole-body PET scanner using the NEMA protocol, J. Nucl. Med, 38, 1614
Cited by
Sorted by citations
Neuroinflammation: The Devil Is in the Details
DiSabato, D. J., Quan, N., & Godbout, J. P. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13607 · Cited by 1,640
Overview of General and Discriminating Markers of Differential Microglia Phenotypes
Jurga, A. M., Paleczna, M., & Kuter, K. Z. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00198 · Cited by 1,000
Tay, T. L., Savage, J. C., Hui, C. W., Bisht, K., & Tremblay, M. (2017) · The Journal of Physiology · doi:10.1113/jp272134 · Cited by 562
Microglial cell dysregulation in brain aging and neurodegeneration
von Bernhardi, R., Eugenín-von Bernhardi, L., & Eugenín, J. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00124 · Cited by 556
Microglia during development and aging
Harry, G. J. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2013.04.013 · Cited by 524
Bloomfield, P. S., Selvaraj, S., Veronese, M., Rizzo, G., Bertoldo, A., Owen, D. R., Bloomfield, M., Bonoldi, I., Kalk, N. J., Turkheimer, F., et al. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14101358 · Cited by 446
Norden, D. M., Muccigrosso, M. M., & Godbout, J. P. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.10.028 · Cited by 413
Microglia Priming with Aging and Stress
Niraula, A., Sheridan, J. F., & Godbout, J. P. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.185 · Cited by 398
Microglia Phenotypes in Aging and Neurodegenerative Diseases
Wendimu, M. Y., & Hooks, S. B. (2022) · Cells · doi:10.3390/cells11132091 · Cited by 336
Westin, K., Buchhave, P., Nielsen, H., Minthon, L., Janciauskiene, S., & Hansson, O. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030525 · Cited by 277
Role of Microglia in Neurological Disorders and Their Potentials as a Therapeutic Target
Du, L., Zhang, Y., Chen, Y., Zhu, J., Yang, Y., & Zhang, H.-L. (2016) · Molecular Neurobiology · doi:10.1007/s12035-016-0245-0 · Cited by 280
Aging Microglia—Phenotypes, Functions and Implications for Age-Related Neurodegenerative Diseases
Spittau, B. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00194 · Cited by 271
Microglial aging in the healthy CNS: phenotypes, drivers, and rejuvenation
Wong, W. T. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00022 · Cited by 241
Benarroch, E. E. (2013) · Neurology · doi:10.1212/wnl.0b013e3182a4a577 · Cited by 232
Iannaccone, S., Cerami, C., Alessio, M., Garibotto, V., Panzacchi, A., Olivieri, S., Gelsomino, G., Moresco, R. M., & Perani, D. (2013) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2012.07.002 · Cited by 221
Alzheimer's Disease: Redox Dysregulation As a Common Denominator for Diverse Pathogenic Mechanisms
Rommy von Bernhardi, M., & Eugenín, J. L. (2011) · Antioxidants and Redox Signaling · doi:10.1089/ars.2011.4082 · Cited by 193
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 175
Self-citationFelsky, D., Roostaei, T., Nho, K., Risacher, S. L., Bradshaw, E. M., Petyuk, V., Schneider, J. A., Saykin, A., Bennett, D. A., & De Jager, P. L. (2019) · Nature Communications · doi:10.1038/s41467-018-08279-3 · Cited by 169
Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances
Jiang, Q., Liu, J., Huang, S., Wang, X.-Y., Chen, X., Liu, G.-H., Ye, K., Song, W., Masters, C. L., Wang, J., et al. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02145-7 · Cited by 165
The endocannabinoid system in normal and pathological brain ageing
Bilkei‐Gorzó, A. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0388 · Cited by 161
Yaqub, M. M., van Berckel, B. N. M., Schuitemaker, A., Hinz, R., Turkheimer, F., Tomasi, G., Lammertsma, A. A., & Boellaard, R. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.59 · Cited by 161
Self-citationBrain Microglia and Microglial Markers
Korzhevsky, D. E., & Kirik, O. V. (2016) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-016-0231-z · Cited by 148
D’Amelio, M., & Rossini, P. M. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.07.001 · Cited by 147
Luo, A., Yan, J., Tang, X., Zhao, Y., Zhou, B., & Li, S. (2019) · Inflammopharmacology · doi:10.1007/s10787-018-00559-0 · Cited by 146
O’Neil, S. M., Witcher, K. G., McKim, D. B., & Godbout, J. P. (2018) · Acta Neuropathologica Communications · doi:10.1186/s40478-018-0636-8 · Cited by 138
Regional changes in thalamic shape and volume with increasing age
Hughes, E., Bond, J., Svrckova, P., Makropoulos, A., Ball, G., Sharp, D. J., Edwards, A. D., Hajnal, J. V., & Counsell, S. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.043 · Cited by 135
Cholinergic Modulation of Glial Function During Aging and Chronic Neuroinflammation
Gamage, R. V., Wagnon, I. M., Rossetti, I., Childs, R., Niedermayer, G., Chesworth, R., & Gyengési, E. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.577912 · Cited by 134
Golla, S. S. V., Boellaard, R., Oikonen, V., Hoffmann, A., van Berckel, B. N. M., Windhorst, A. D., Virta, J. R., Haaparanta‐Solin, M., Luoto, P., Savisto, N., et al. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2014.261 · Cited by 132
Self-citationMicroglia in Aging and Alzheimer’s Disease: A Comparative Species Review
Edler, M. K., Mhatre-Winters, I., & Richardson, J. R. (2021) · Cells · doi:10.3390/cells10051138 · Cited by 126
Neuroimaging studies of the aging HIV-1-infected brain
Holt, J. L., Kraft-Terry, S. D., & Chang, L. (2012) · Journal of NeuroVirology · doi:10.1007/s13365-012-0114-1 · Cited by 125
Fard, M. T., & Stough, C. K. K. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00056 · Cited by 124
The role of innate immunity in Alzheimer's disease
Ennerfelt, H. E., & Lukens, J. R. (2020) · Immunological Reviews · doi:10.1111/imr.12896 · Cited by 124
Baldacci, F., Lista, S., Cavedo, E., Bonuccelli, U., & Hampel, H. (2017) · Expert Review of Proteomics · doi:10.1080/14789450.2017.1304217 · Cited by 113
Effects of age, BMI and sex on the glial cell marker TSPO — a multicentre [11C]PBR28 HRRT PET study
HRRT [11C ]PBR28 study group, Tuisku, J., Plavén‐Sigray, P., Gaiser, E., Airas, L. M., Al‐Abdulrasul, H., Brück, A., Carson, R. E., Chen, M.-K., Cosgrove, K., et al. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04403-7 · Cited by 120
Neuroinflammation in Alzheimer’s disease wanes with age
Hoozemans, J. J., Rozemuller, A. J., van Haastert, E. S., Eikelenboom, P., & van Gool, W. A. (2011) · Journal of Neuroinflammation · doi:10.1186/1742-2094-8-171 · Cited by 100
Fate of microglia during HIV‐1 infection: From activation to senescence?
Chen, N. C., Partridge, A. T., Sell, C., Torres, C. A., & Martín‐García, J. (2016) · Glia · doi:10.1002/glia.23081 · Cited by 94
Interventions for age-related diseases: Shifting the paradigm
Figueira, I., Fernandes, A. M. A., Mladenović, A., Lopez-Contreras, A. J., Henriques, C. M., Selman, C., Ferreiro, E. B., Gonos, E. S., Trejo, J. L., Misra, J., et al. (2016) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.09.009 · Cited by 92
Schweser, F., Martins, A. L. R. D., Hagemeier, J., Lin, F., Hanspach, J., Weinstock‐Guttman, B., Hametner, S., Bergsland, N., Dwyer, M. G., & Zivadinov, R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.063 · Cited by 91
Feeney, C., Scott, G., Raffel, J., Roberts, S., Coello, C. S., Jolly, A., Searle, G. E., Goldstone, A. P., Brooks, D. J., Nicholas, R. S., et al. (2016) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-016-3444-z · Cited by 81
Ross, J., Sharma, S., Winston, J., Nunez, M., Bottini, G., Franceschi, M., Scarpini, E. A., Frigerio, E., Fiorentini, F., Fernández, M., et al. (2013) · Current Alzheimer Research · doi:10.2174/13892037113149990144 · Cited by 78
Hagens, M. H. J., Golla, S. S. V., Janssen, B., Vugts, D. J., Beaino, W., Windhorst, A. D., O’Brien-Brown, J., Kassiou, M., Schuit, R. C., Schwarte, L. A., et al. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04550-x · Cited by 77
Self-citationImaging Neuroinflammation in Neurodegenerative Disorders
Masdeu, J. C., Pascual, B., & Fujita, M. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263200 · Cited by 77
Janssen, B., Vugts, D. J., Funke, U., Molenaar, G. T., Kruijer, P. S., van Berckel, B. N. M., Lammertsma, A. A., & Windhorst, A. D. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2015.11.011 · Cited by 77
Self-citationSuridjan, I., Rusjan, P. M., Voineskos, A. N., Selvanathan, T., Setiawan, E., Strafella, A. P., Wilson, A. A., Meyer, J. H., Houle, S., & Mizrahi, R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.021 · Cited by 71
Zheng, X., Wang, X., Wang, T., Zhang, H., Wu, H., Zhang, C. M., Yu, L., & Guan, Y. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.01000 · Cited by 74
Dimitrova‐Shumkovska, J., Krstanoski, L., & Veenman, L. (2020) · Cells · doi:10.3390/cells9040870 · Cited by 74
In 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 79
In vivo (R)-[11C]PK11195 PET imaging of 18kDa translocator protein in recent onset psychosis
van der Doef, T. F., de Witte, L. D., Sutterland, A. L., Jobse, E., Yaqub, M. M., Boellaard, R., de Haan, L., Eriksson, J., Lammertsma, A. A., Kahn, R. S., et al. (2016) · Schizophrenia · doi:10.1038/npjschz.2016.31 · Cited by 67
Self-citationQuintanilla, R. A., Orellana, J. A., & Rommy von Bernhardi, M. (2012) · Archives of Medical Research · doi:10.1016/j.arcmed.2012.10.016 · Cited by 67
Quantification of the Biological Age of the Brain Using Neuroimaging
Cole, J. H., Franke, K., & Cherbuin, N. (2019) · Healthy ageing and longevity · doi:10.1007/978-3-030-24970-0_19 · Cited by 65
Microglia recapitulate a hematopoietic master regulator network in the aging human frontal cortex
Wehrspaun, C. C., Haerty, W., & Ponting, C. P. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.04.008 · Cited by 64
Brain and Systemic Inflammation in De Novo Parkinson's Disease
Yacoubian, T. A., Fang, Y.-H. D., Gerstenecker, A. T., Amara, A. W., Stover, N. P., Ruffrage, L., Collette, C., Kennedy, R., Zhang, Y., Hong, H., et al. (2023) · Movement Disorders · doi:10.1002/mds.29363 · Cited by 68
Microglial Activation and Connectivity in Alzheimer Disease and Aging
Rauchmann, B., Brendel, M., Franzmeier, N., Trappmann, L., Zaganjori, M., Ersoezlue, E., Morenas‐Rodriguez, E., Guersel, S., Burow, L., Kurz, C., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26465 · Cited by 61
Age-Dependent Changes in the Activation and Regulation of Microglia
Cornejo, F., & Rommy von Bernhardi, M. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-40764-7_10 · Cited by 61
Aging, depression and dementia: The inflammatory process
Carrera-González, M. P., Cantón-Habas, V., & Rich‐Ruiz, M. (2022) · Advances in Clinical and Experimental Medicine · doi:10.17219/acem/149897 · Cited by 61
Su, Z., Herholz, K., Gerhard, A., Roncaroli, F., du Plessis, D., Jackson, A., Turkheimer, F., & Hinz, R. (2013) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-013-2447-2 · Cited by 65
Fernando, K., & Wijayasinghe, Y. S. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.746631 · Cited by 57
Selvaraj, S., Bloomfield, P. S., Cao, B., Veronese, M., Turkheimer, F., & Howes, O. D. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.08.063 · Cited by 55
Coburn, J. L., Cole, T. B., Dao, K., & Costa, L. G. (2018) · Archives of Toxicology · doi:10.1007/s00204-018-2180-5 · Cited by 56
Fjell, A. M., Idland, A., Sala‐Llonch, R., Watne, L. O., Borza, T., Brækhus, A., Lona, T., Zetterberg, H., Blennow, K., Wyller, T. B., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx157 · Cited by 57
Franco, R., Lillo, A., Rivas‐Santisteban, R., Reyes‐Resina, I., & Navarro, G. (2021) · Cells · doi:10.3390/cells10051124 · Cited by 51
Kinetic modeling and parameter estimation of TSPO PET imaging in the human brain
Wimberley, C., Lavisse, S., Hillmer, A. T., Hinz, R., Turkheimer, F., & Zanotti‐Fregonara, P. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05248-9 · Cited by 52
Aging, Senescence, and Dementia
Behfar, Q., Zuniga, A. R., & Adami, P. V. M. (2022) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2022.42 · Cited by 52
Neuron loss associated with age but not Alzheimer's disease pathology in the chimpanzee brain
Edler, M. K., Munger, E. L., Meindl, R. S., Hopkins, W. D., Ely, J. J., ERWIN, J. M., Mufson, E. J., Hof, P. R., Sherwood, C. C., & Raghanti, M. A. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0619 · Cited by 45
Picker, L. D., Ottoy, J., Verhaeghe, J. A. J., Deleye, S., Wyffels, L., Fransén, E., Kosten, L., Sabbe, B., Coppens, V., Timmers, M., et al. (2018) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2018.11.318 · Cited by 43
Nikodémová, M., Small, A. L., Kimyon, R. S., & Watters, J. J. (2016) · Physiological Genomics · doi:10.1152/physiolgenomics.00129.2015 · Cited by 46
Supervised clustering for TSPO PET imaging
Schubert, J., Tonietto, M., Turkheimer, F., Zanotti-Fregonara, P., & Veronese, M. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05309-z · Cited by 40
Evidence for Cortical Neuronal Loss in Male Type 2 Diabetic Goto-Kakizaki Rats
Hussain, S., Mansouri, S., Sjöholm, Å., Patrone, C., & Darsalia, V. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131958 · Cited by 42
Age Influences Microglial Activation After Cuprizone-Induced Demyelination
Klein, B., Mrowetz, H., Barker, C. M., Lange, S., Rivera, F. J., & Aigner, L. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00278 · Cited by 44
Metaxas, A., Thygesen, C., Briting, S. R. R., Landau, A. M., Darvesh, S., & Finsen, B. R. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00538 · Cited by 39
Cannabinoid 1 Receptor Signaling on Hippocampal GABAergic Neurons Influences Microglial Activity
Ativie, F., Komorowska‐Müller, J. A., Beins, E. C., Albayram, Ö., Zimmer, T. S., Zimmer, A., Tejera, D., Heneka, M. T., & Bilkei‐Gorzó, A. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00295 · Cited by 42
Pharmacokinetics and Pharmacodynamics of CHF5074 After Short-term Administration in Healthy Subjects
Imbimbo, B. P., Frigerio, E., Breda, M., Fiorentini, F., Fernández, M., Sivilia, S., Giardino, L., Calzà, L., Norris, D., Casula, D., et al. (2012) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3182622ace · Cited by 37
Biomarkers for Microglial Activation in Alzheimer′s Disease
Lautner, R., Mattsson, N., Schöll, M., Augutis, K., Blennow, K., Olsson, B., & Zetterberg, H. (2011) · International Journal of Alzheimer s Disease · doi:10.4061/2011/939426 · Cited by 38
In vivo evidence for pre‐symptomatic neuroinflammation in a MAPT mutation carrier
Bevan‐Jones, W. R., Cope, T. E., Jones, P. S., Passamonti, L., Hong, Y. T., Fryer, T., Arnold, R., Coles, J. P., Aigbirhio, F. I., O'Brien, J. T., et al. (2019) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.683 · Cited by 36
The Hallmarks of Ageing in Microglia
Carr, L. M., Mustafa, S., & Collins‐Praino, L. E. (2025) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-025-01564-y · Cited by 37
Lauridsen, J. K., Olesen, R. H., Vendelbo, J. H., Hyde, T. M., Kleinman, J. E., Bibby, B. M., Brock, B., Rungby, J., & Larsen, A. (2017) · Translational Psychiatry · doi:10.1038/tp.2016.259 · Cited by 32
Hommet, C., Mondon, K., Camus, V., Ribeiro, M. J., Beaufils, É., Arlicot, N., Corcia, P., Paccalin, M., Minier, F., Gosselin, T., et al. (2013) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000354363 · Cited by 36
Induction of a Senescence-Like Phenotype in Cultured Human Fetal Microglia During HIV-1 Infection
Chen, N. C., Partridge, A. T., Tüzer, F., Cohen, J., Nacarelli, T., Navas, S., Sell, C., Torres, C. A., & Martín‐García, J. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/gly022 · Cited by 32
Wątroba, M., & Szukiewicz, D. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.962769 · Cited by 29
Aging of enteric neuromuscular systems in gastrointestinal tract
Nguyen, V. T. T., Taheri, N., Chandra, A., & Hayashi, Y. (2022) · Neurogastroenterology & Motility · doi:10.1111/nmo.14352 · Cited by 29
Parametric Binding Images of the TSPO Ligand 18F-DPA-714
Golla, S. S. V., Boellaard, R., Oikonen, V., Hoffmann, A., van Berckel, B. N. M., Windhorst, A. D., Virta, J. R., Beek, E. T. T., Groeneveld, G. J., Haaparanta‐Solin, M., et al. (2016) · Journal of Nuclear Medicine · doi:10.2967/jnumed.116.173013 · Cited by 27
Self-citationPaul, S., Gallagher, E. P., Liow, J., Mabins, S. N., Henry, K. A., Zoghbi, S. S., Gunn, R. N., Kreisl, W. C., Richards, E. M., Zanotti‐Fregonara, P., et al. (2018) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x18771250 · Cited by 27
Plavén‐Sigray, P., Matheson, G. J., Cselényi, Z., Jučaitė, A., Farde, L., & Červenka, S. (2018) · EJNMMI Research · doi:10.1186/s13550-018-0455-8 · Cited by 30
Annexin A3 as a Marker Protein for Microglia in the Central Nervous System of Rats
Zhang, Z., Li, Z., Ma, Z., Deng, M., Xing, M., Wu, J., Jiang, S., Wang, Q., Guo, Q., & Zou, W. (2021) · Neural Plasticity · doi:10.1155/2021/5575090 · Cited by 27
Aging reduces glial uptake and promotes extracellular accumulation of Aβ from a lentiviral vector
Zhao, W., Zhang, J., Davis, E. G., & Rebeck, G. W. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00210 · Cited by 24
Lind, A., Boraxbekk, C., Petersen, E. T., Paulson, O. B., Andersen, O., Siebner, H. R., & Marsman, A. (2021) · Journal of Neurochemistry · doi:10.1111/jnc.15456 · Cited by 26
Preventive immunization of aged and juvenile non-human primates to beta-amyloid
Kofler, J., Lopresti, B. J., Janssen, C., Trichel, A. M., Masliah, E., Finn, O. J., Salter, R. D., MURDOCH, G. H., Mathis, C. A., & Wiley, C. A. (2012) · Journal of Neuroinflammation · doi:10.1186/1742-2094-9-84 · Cited by 26
van der Doef, T. F., Doorduin, J., van Berckel, B. N. M., & Červenka, S. (2015) · Clinical and Translational Imaging · doi:10.1007/s40336-015-0140-0 · Cited by 26
Feltes, P. K., de Vries, E. F. J., Juárez‐Orozco, L. E., Kurtys, E., Dierckx, R., Jeckel, C. M. M., & Doorduin, J. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17747189 · Cited by 24
The Aging Brain With HIV Infection: Effects of Alcoholism or Hepatitis C Comorbidity
Zahr, N. M. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00056 · Cited by 23
Caruso, G., Pietro, L. D., & Caraci, F. (2023) · Biomolecules · doi:10.3390/biom13030505 · Cited by 24
Schildt, A., Walker, M. D., Dinelle, K., Miao, Q., Schulzer, M., OʼKusky, J. R., Farrer, M. J., Doudet, D. J., & Sossi, V. (2018) · Journal of Parkinson s Disease · doi:10.3233/jpd-181446 · Cited by 25
Wright, P. K., Veronese, M., Mazibuko, N., Turkheimer, F., Rabiner, E. A., Ballard, C. G., Williams, S., Narayanan, A. K. H., Osrah, B., Williams, R., et al. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.541377 · Cited by 22
Loss of NF-κB p50 function synergistically augments microglial priming in the middle-aged brain
Taetzsch, T., Benusa, S. D., Levesque, S., Mumaw, C. L., & Block, M. L. (2019) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1446-z · Cited by 21
The Effects of Modified Curcumin Preparations on Glial Morphology in Aging and Neuroinflammation
Ullah, F., Gamage, R. V., Sen, M. K., & Gyengési, E. (2022) · Neurochemical Research · doi:10.1007/s11064-021-03499-4 · Cited by 21
Bartrés‐Faz, D., González‐Escamilla, G., Vaqué‐Alcázar, L., Abellaneda‐Pérez, K., Valls‐Pedret, C., Ros, E., & Grothe, M. J. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2370-18.2019 · Cited by 22
Suridjan, I., Rusjan, P., Kenk, M., Verhoeff, N. P. L. G., Voineskos, A. N., Rotenberg, D. J., Wilson, A. A., Meyer, J. H., Houle, S., & Mizrahi, R. (2014) · Synapse · doi:10.1002/syn.21765 · Cited by 20
Bioenergetic Impairment in the Neuro-Glia-Vascular Unit: An Emerging Physiopathology during Aging
Yuan, M., Wang, Y., Wang, S., Huang, Z., Jin, F., Zou, Q., Li, J., Pu, Y., & Cai, Z. (2021) · Aging and Disease · doi:10.14336/ad.2021.04017 · Cited by 20
Challenges of quantification of TSPO in the human brain
Hinz, R., & Boellaard, R. (2015) · Clinical and Translational Imaging · doi:10.1007/s40336-015-0138-7 · Cited by 19
Self-citationInteraction of Cannabis Use and Aging: From Molecule to Mind
Yoo, H. B., DiMuzio, J. M., & Filbey, F. M. (2019) · Journal of Dual Diagnosis · doi:10.1080/15504263.2019.1665218 · Cited by 21
Metadata
- Authors
- Schuitemaker, A., van der Doef, T. F., Boellaard, R., van der Flier, W. M., Yaqub, M., Windhorst, A. D., Barkhof, F., Jonker, C., Kloet, R. W., Lammertsma, A. A., Scheltens, P., & van Berckel, B. N. M.
- Affiliations
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Schuitemaker, Alie
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 33
- Issue
- 6
- Pages
- 1067-1072
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2009391988
- Cited by
- 142
- References
- 35
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 5 · 2023: 4 · 2022: 9 · 2021: 11 · 2020: 7 · 2019: 17 · 2018: 12 · 2017: 9 · 2016: 15 · 2015: 10 · 2014: 5 · 2013: 10 · 2012: 11
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- VU Research Portal (publishedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- European Commission
- Vrije Universiteit Amsterdam
- National Cancer Institute
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- microglial activation, healthy brain aging, neuronal loss, cognitive decline
- MeSH terms
- Adult, Aged, Aging, Brain, Female, Humans, Isoquinolines, Male, Middle Aged, Protein Binding, Cellular Senescence, Microglia, Young Adult
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
