Cited by 121Alzheimer's disease research and treatmentsAdvanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment Research

Changes in extracellular space size and geometry in APP23 transgenic mice: A model of Alzheimer's disease

Open access
Syková, Eva, Voříšek, Ivan, Antonova, Tatiana, Mazel, Tomáš, Meyer-Luehmann, Melanie, Jucker, Mathias, Hájek, Milan, Or, Michael +1 more·2005·Proceedings of the National Academy of Sciences

Abstract

Diffusion parameters of the extracellular space (ECS) are changed in many brain pathologies, disturbing synaptic as well as extrasynaptic “volume” transmission, which is based on the diffusion of neuroactive substances in the ECS. Amyloid deposition, neuronal loss, and disturbed synaptic transmission are considered to be the main causes of Alzheimer's disease dementia. We studied diffusion parameters in the cerebral cortex of transgenic APP23 mice, which develop a pathology similar to Alzheimer's disease. The real-time tetramethylammonium (TMA) method and diffusion-weighted MRI were used to measure the ECS volume fraction (α = ECS volume/total tissue volume) and the apparent diffusion coefficients (ADCs) of TMA (ADC TMA ), diffusing exclusively in the ECS and of water (ADC W ). Measurements were performed in vivo in 6-, 8-, and 17- to 25-month-old hemizygous APP23 male and female mice and age-matched controls. In all 6- to 8-month-old APP23 mice, the mean ECS volume fraction, ADC TMA , and ADC W were not significantly different from age-matched controls (α = 0.20 ± 0.01; ADC TMA , 580 ± 16 μm 2 ·s -1 ; ADC W , 618 ± 19 μm 2 ·s -1 ). Aging in 17- to 25-month-old controls was accompanied by a decrease in ECS volume fraction and ADC W , significantly greater in females than in males, but no changes in ADC TMA . ECS volume fraction increased (0.22 ± 0.01) and ADC TMA decreased (560 ± 7 μm 2 ·s -1 ) in aged APP23 mice. The impaired navigation observed in these animals in the Morris water maze correlated with their plaque load, which was twice as high in females (20%) as in males (10%) and may, together with changed ECS diffusion properties, account for the impaired extrasynaptic transmission and spatial cognition observed in old transgenic females.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.0408235102

Cites

5 of 5 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Amyloid deposition damages the ECM scaffold.

    “Amyloid deposition damages the ECM scaffold (Ajmo et al., 2010, Sykova et al., 2005).”

    From Disrupted structural connectivity in ArcAβ mouse model of Aβ amyloidosis (2020) · cites this paper as Sykova et al., 2005

    The Discussion links possible loss of extracellular matrix molecules to aging in control mice, and separately describes amyloid plaques and altered extracellular-space properties in APP23 mice. The passages searched do not say that amyloid deposition damages the extracellular matrix scaffold. (LLM, conf=0.73)

    Experimental — accuracy not yet measured

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

Flagged first, then by citations

Research works printed but not linked: 39

  1. [1]Selkoe D. J. (2001) Physiol. Rev. 81, 741-766. [DOI] [PubMed] [Google Scholar]
  2. [2]Glenner, G. G. & Wong, C. W. (1984) Biochem. Biophys. Res. Commun. 120, 885-890. [DOI] [PubMed] [Google Scholar]
  3. [3]Masters, C. L., Multhaup, G., Simm, G., Pottgiesser, J., Martins, R. N. & Beyreuther, K. (1985) EMBO J. 4, 2757-2763. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. [4]Kang, J., Lemaire, H. G., Unterbeck, A., Salbaum, J. M., Masters, C. L., Grzeschik, K. H., Multhaup, G., Beyreuther, K. & Muller-Hill, B. (1987) Nature 325, 733-736. [DOI] [PubMed] [Google Scholar]
  5. [5]Sturchler-Pierrat, C., Abramowski, D., Duke, M., Wiederhold, K. H., Mistl, C., Rothacher, S., Ledermann, B., Burki, K., Frey, P., Paganetti, P. A., et al. (1997) Proc. Natl. Acad. Sci. USA 94, 13287-13292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. [6]Meyer-Luehmann, M., Stalder, M., Herzig, M. C., Kaeser, S. A., Kohler, E., Pfeifer, M., Boncristiano, S., Mathews, P. M., Mercken, M., Abramowski, D., et al. (2003) Nat. Neurosci. 6, 370-377. [DOI] [PubMed] [Google Scholar]
  7. [7]Syková, E., Mazel, T., Vargová, L., Vořís̆ek, I. & Prokopová-Kubinova, S. (2000) Prog. Brain. Res. 125, 155-178. [DOI] [PubMed] [Google Scholar]
  8. [8]Syková, E. (2003) Isr. J. Chem. 43, 55-69. [Google Scholar]
  9. [10]Zoli, M., Jansson, A., Syková, E., Agnati, L. F. & Fuxe, K. (1999) Trends Pharmacol. Sci. 20, 142-150. [DOI] [PubMed] [Google Scholar]
  10. [11]Syková, E. (1997) Neuroscientist 3, 28-41. [Google Scholar]
  11. [12]Vořís̆ek, I. & Syková, E. (1997) J. Cereb. Blood Flow Metab. 17, 191-203. [DOI] [PubMed] [Google Scholar]
  12. [13]Syková, E., Mazel, T., Hasenöhrl, R. U., Harvey, A. R., S̆imonová, Z., Mulders, W. H. & Huston, J. P. (2002) Hippocampus 12, 269-279. [DOI] [PubMed] [Google Scholar]
  13. [14]Nicholson, C. & Phillips, J. M. (1981) J. Physiol. (London) 321, 225-257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. [15]Nicholson, C. & Syková, E. (1998) Trends Neurosci. 21, 207-215. [DOI] [PubMed] [Google Scholar]
  15. [16]Syková, E. (2004) Neurochem. Int. 45, 453-466. [DOI] [PubMed] [Google Scholar]
  16. [17]Syková, E., Neuroscience, in press.
  17. [18]Syková, E., Svoboda, J., Polák, J. & Chvátal, A. (1994) J. Cereb. Blood Flow Metab. 14, 301-311. [DOI] [PubMed] [Google Scholar]
  18. [20]Morris, R. J. (1984) J. Neurosci. Methods 11, 47-60. [DOI] [PubMed] [Google Scholar]
  19. [21]Kaminsky, Y. & Krekule, I. (1997) Physiol. Res. 46, 223-231. [PubMed] [Google Scholar]
  20. [22]Stalder, M., Phinney, A., Probst, A., Sommer, B., Staufenbiel, M. & Jucker, M. (1999) Am. J. Pathol. 154, 1673-1684. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. [23]Calhoun, M. E., Wiederhold, K. H., Abramowski, D., Phinney, A. L., Probst, A., Sturchler-Pierrat, C., Staufenbiel, M., Sommer, B. & Jucker, M. (1998) Nature 395, 755-756. [DOI] [PubMed] [Google Scholar]
  22. [24]Vořís̆ek, I., Hájek, M., Tintěra, J., Nicolay, K. & Syková, E. (2002) Magnet. Reson. Med. 48, 994-1003. [DOI] [PubMed] [Google Scholar]
  23. [25]Syková, E., Fiala, J., Antonova, T. & Vořís̆ek, I. (2001) Eur. J. Pediatr. Surg. 11, S34-S37. [PubMed] [Google Scholar]
  24. [26]Westlind-Danielsson, A. & Arnerup, G. (2001) Biochemistry 40, 14736-14743. [DOI] [PubMed] [Google Scholar]
  25. [27]Weller, R. O., Massey, A., Newman, T. A., Hutchings, M., Kuo, Y. M. & Roher, A. E. (1998) Am. J. Pathol. 153, 725-733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. [28]Syková, E., Mazel, T. & S̆imonová, Z. (1998) Exp. Gerontol. 33, 837-851. [DOI] [PubMed] [Google Scholar]
  27. [29]Abrous, D. N., Montaron, M. F., Petry, K. G., Rougon, G., Darnaudery, M., Le Moal, M. & Mayo, W. (1997) Brain Res. 744, 285-292. [DOI] [PubMed] [Google Scholar]
  28. [30]Vořís̆ek, I., Antonova, T., Mazel, T., Hájek, M. & Syková, E. (2003) Proc. Intl. Soc. Mag. Reson. Med. 11, 1983. [Google Scholar]
  29. [31]Van der Sanden, M. J. T., Nagy, K., Semsei, I. & Zs-Nagy, I. (1995) Arch. Gerontol. Geriatr. 20, 273-282. [DOI] [PubMed] [Google Scholar]
  30. [32]Mouton, P. R., Long, J. M., Lei, D. L., Howard, V., Jucker, M., Calhoun, M. E. & Ingram, D. K. (2002) Brain Res. 956, 30-35. [DOI] [PubMed] [Google Scholar]
  31. [33]Gass, A., Niendorf, T. & Hirsch, J. G. (2001) J. Neurol. Sci. 186, S15-S23. [DOI] [PubMed] [Google Scholar]
  32. [34]Pfeuffer, J., Provencher, S. W. & Gruetter, R. (1999) MAGMA 8, 98-108. [DOI] [PubMed] [Google Scholar]
  33. [35]Weglarz, W. P., Adamek, D., Markiewicz, J., Skorka, T., Kulinowski P. & Jasinski, A. (2004) Solid State Nucl. Magn. Reson. 25, 88-93. [DOI] [PubMed] [Google Scholar]
  34. [36]Kelly, P. H., Bondolfi, L., Hunziker, D., Schlecht, H.-P., Carver, K., Maguire, E., Abramowski, D., Wiederhold, K.-H., Sturchler-Pierrot, O., Jucker, M., et al. (2003) Neurobiol. Aging 24, 365-378. [DOI] [PubMed] [Google Scholar]
  35. [37]Callahan, M. J., Lipinski, W. J., Feng Bian, Durham, R. A., Pack, A. & Walker, L. C. (2001) Am. J. Pathol. 158, 1173-1177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. [38]Kume-Kick, J., Mazel, T., Vořís̆ek, I., Hrabětová, S., Tao, L. & Nicholson, C. (2002) J. Physiol. 542, 515-527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. [39]Piet, R., Vargová, L., Syková, E., Poulain, D. A. & Oliet, S. H. R. (2004) Proc. Natl. Acad. Sci. USA 101, 2151-2155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. [40]Min, M. Y., Asztely, F., Kokaia, M. & Kullmann, D. M. (1998) Proc. Natl. Acad. Sci. USA 95, 4702-4707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. [41]Araque, A., Carmignoto, G. & Haydon, P. G. (2001) Annu. Rev. Physiol. 63, 795-813. [DOI] [PubMed] [Google Scholar]

Cited by

Sorted by citations

Authors
Syková, E., Voříšek, I., Antonova, T., Mazel, T., Meyer-Luehmann, M., Jucker, M., Hájek, M., Or, M., & Bureš, J.
Affiliations
  • Czech Academy of Sciences (CZ)
  • Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Vídeňská 1083, 142 20 Prague 4, Czech Republic; Department of Neuroscience and Center for Cell Therapy and Tissue Repair, Charles University, Second Medical Faculty, Vúvalu 84, 150 06 Prague 5, Czech Republic; Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Muller Strasse 27, D-72076 Tübingen, Germany; Department of Radiology, Institute for Clinical and...
Venue
Proceedings of the National Academy of Sciences
Published
2005-01-03
Volume
102
Issue
2
Pages
479-484
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2004485166
Cited by
121
References
5
Citations by year
2026: 1 · 2025: 8 · 2024: 7 · 2023: 8 · 2022: 7 · 2021: 5 · 2020: 7 · 2019: 12 · 2018: 5 · 2017: 5 · 2016: 4 · 2015: 2 · 2014: 4 · 2013: 11 · 2012: 6
FWCI
3.41
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
extracellular space, APP23 transgenic mice, Alzheimer's disease model, cerebral cortex, apparent diffusion coefficient, tetramethylammonium, amyloid plaques, aging, sex differences, spatial cognition, diffusion-weighted imaging
MeSH terms
Aging, Alzheimer Disease, Quaternary Ammonium Compounds, Animals, Diffusion, Disease Models, Animal, Extracellular Space, Female, Magnetic Resonance Imaging, Male, Mice, Transgenic, Amyloid beta-Protein Precursor, Mice

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