The concentration of glial fibrillary acidic protein increases with age in the mouse and rat brain
Abstract
The role of aging in the expression of the astrocyte protein, glial fibrillary acidic protein (GFAP), was examined. In both mice and rats the concentration of GFAP increased throughout the brain as a function of aging. The largest increase (2-fold) was observed in striatum for both species. The neuron-specific proteins, synapsin I and neurofilament-200 (Mr 200 kilodaltons), were not altered by aging in any region of the mouse or rat brain. Brains of aged rats, but not mice, showed a decrease in beta-tubulin. The data suggest that astrocytic hypertrophy observed with aging involves an accumulation of glial filaments.
Integrity signals
Registry
Cites
Statistics
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?
Studies in rodents document region-dependent and often contradictory changes in aging astrocytes, such as an increase in cellular volume and overlap of astrocyte processes, but also atrophy, increase in GFAP content, or even a reduction in the number of GFAP+ and GS+ astrocytes.
“Studies in rodents document region-dependent and often contradictory changes in aging astrocytes, such as an increase in cellular volume and overlap of astrocyte processes, but also atrophy, increase in GFAP content, or even a reduction in the number of GFAP+ and GS+ astrocytes87–89.”
From Reactive astrocyte nomenclature, definitions, and future directions (2021) · cites this paper as [89]
Cites
Measurement of protein using bicinchoninic acid
Smith, P. K., Krohn, R. I., Hermanson, G. T., Mallia, A. K., Gartner, F. H., Provenzano, M. D., Fujimoto, E. K., Goeke, N. M., Olson, B. J., & Klenk, D. C. (1985) · Analytical Biochemistry · doi:10.1016/0003-2697(85)90442-7 · Cited by 18,482 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Iliff, J. J., Wang, M., Liao, Y., Plogg, B. A., Peng, W., Gundersen, G. A., Benveniste, H., Vates, G. E., Deane, R., Goldman, S. A., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003748 · Cited by 5,824 · see citing works
Reactive astrocyte nomenclature, definitions, and future directions
Escartin, C., Galea, E., Lakatos, A., O’Callaghan, J. P., Petzold, G. C., Serrano-Pozo, A., Steinhäuser, C., Volterra, A., Carmignoto, G., Agarwal, A., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00783-4 · Cited by 2,533 · see citing works
Self-citationGFAP mRNA increases with age in rat and human brain
Nichols, N. R., Day, J. R., Laping, N. J., Johnson, S. A., & Finch, C. E. (1993) · Neurobiology of Aging · doi:10.1016/0197-4580(93)90100-p · Cited by 413 · see citing works
Blasko, I., Stampfer‐Kountchev, M., Robatscher, P., Veerhuis, R., Eikelenboom, P., & Grubeck‐Loebenstein, B. (2004) · Aging Cell · doi:10.1111/j.1474-9728.2004.00101.x · Cited by 374 · see citing works
Age and gender effects on microglia and astrocyte numbers in brains of mice
Mouton, P. R., Long, J. M., Lei, D.-L., Howard, V., Jucker, M., Calhoun, M. E., & Ingram, D. K. (2002) · Brain Research · doi:10.1016/s0006-8993(02)03475-3 · Cited by 320 · see citing works
Astrocytic adenosine receptor A2A and Gs-coupled signaling regulate memory
Orr, A. G., Hsiao, E. C., Wang, M. M., Ho, K., Kim, D. H., Wang, X., Guo, W., Kang, J., Yu, G.-Q., Adame, A., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3930 · Cited by 289 · see citing works
Time Course of the Development of Alzheimer-like Pathology in the Doubly Transgenic PS1+APP Mouse
Gordon, M. N., Holcomb, L. A., Jantzen, P. T., DiCarlo, G., Wilcock, D., Boyett, K. W., Connor, K., Melachrino, J., O'Callaghan, J. P., & Morgan, D. (2002) · Experimental Neurology · doi:10.1006/exnr.2001.7754 · Cited by 247 · see citing works
Self-citationThe role of free radicals in the aging brain and Parkinson’s Disease: Convergence and parallelism
Kumar, H., Lim, H.-W., More, S. V., Kim, B.-W., Koppula, S., Kim, I. S., & Choi, D.-K. (2012) · International Journal of Molecular Sciences · doi:10.3390/ijms130810478 · Cited by 212 · see citing works
Aging, stress and the hippocampus
Miller, D. B., & O’Callaghan, J. P. (2005) · Ageing Research Reviews · doi:10.1016/j.arr.2005.03.002 · Cited by 206 · see citing works
Self-citationGeoffroy, C. G., Hilton, B. J., Tetzlaff, W., & Zheng, B. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.03.028 · Cited by 159 · see citing works
Stereological analysis of astrocyte and microglia in aging mouse hippocampus
Long, J. M., Kalehua, A. N., Muth, N. J., Calhoun, M. E., Jucker, M., Hengemihle, J. M., Ingram, D. K., & Mouton, P. R. (1998) · Neurobiology of Aging · doi:10.1016/s0197-4580(98)00088-8 · Cited by 163 · see citing works
Denis, I., Potier, B., Vancassel, S., Heberden, C., & Lavialle, M. (2013) · Ageing Research Reviews · doi:10.1016/j.arr.2013.01.007 · Cited by 150 · see citing works
The oxidative DNA lesions 8,5′-cyclopurines accumulate with aging in a tissue-specific manner
Wang, J., Clauson, C. L., Robbins, P. D., Niedernhofer, L. J., & Wang, Y. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00828.x · Cited by 142 · see citing works
VanGuilder, H. D., Bixler, G. V., Brucklacher, R. M., Farley, J. A., Yan, H., Warrington, J. P., Sonntag, W. E., & Freeman, W. M. (2011) · Journal of Neuroinflammation · doi:10.1186/1742-2094-8-138 · Cited by 132 · see citing works
Long-term culture of astrocytes attenuates the readily releasable pool of synaptic vesicles
Kawano, H., Katsurabayashi, S., Kakazu, Y., Yamashita, Y., Kubo, N., Kubo, M., Okuda, H., Takasaki, K., Kubota, K., Mishima, K., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048034 · Cited by 68 · see citing works
Effects of aging and stress on hippocampal structure and function
Miller, D. B., & O’Callaghan, J. P. (2003) · Metabolism · doi:10.1016/s0026-0495(03)00296-8 · Cited by 59 · see citing works
Self-citationDietary Restriction and Neuroinflammation: A Potential Mechanistic Link
Bok, E., Jo, M., Lee, S., Lee, B.-R., Kim, J., & Kim, H.-J. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20030464 · Cited by 53 · see citing works
Major, D. E., Kesslak, J. P., Cotman, C. W., Finch, C. E., & Day, J. R. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00102-4 · Cited by 52 · see citing works
Food restriction delays the age-related increase in GFAP mRNA in rat hypothalamus
Nichols, N. R., Finch, C. E., & Nelson, J. F. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)80013-h · Cited by 46 · see citing works
- Authors
- O'Callaghan, J. P., & Miller, D. B.
- Affiliations
- Environmental Protection Agency (US)
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 1991-03
- Volume
- 12
- Issue
- 2
- Pages
- 171-174
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2027721538
- Cited by
- 152
- References
- 1
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 4 · 2019: 1 · 2018: 3 · 2017: 1 · 2016: 3 · 2015: 2 · 2014: 5 · 2013: 6 · 2012: 7
- FWCI
- 5.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Centers for Disease Control and Prevention (RA-ND-89-4)
- National Institute on Drug Abuse
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- glial fibrillary acidic protein, brain aging, astrocytes, astrocyte hypertrophy, striatum, synapsin I, neurofilament 200, beta-tubulin, glial filaments, mouse brain, rat brain
- MeSH terms
- Aging, Animals, Antibodies, Monoclonal, Brain Chemistry, Female, Glial Fibrillary Acidic Protein, Intermediate Filament Proteins, Male, Mice, Inbred C57BL, Nerve Tissue Proteins, Radioimmunoassay, Tubulin, Synapsins, Neurofilament Proteins, Mice, Rats
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
