Cited by 180Alzheimer's disease research and treatmentsProtein Kinase Regulation and GTPase SignalingCholesterol and Lipid Metabolism

Statins Reduce Amyloid-β Production through Inhibition of Protein Isoprenylation

Open access
Ostrowski, Stephen M., Wilkinson, Brandy L., Golde, Todd E., Landreth, Gary·2007·Journal of Biological Chemistry

Abstract

Epidemiological evidence suggests that long term treatment with hydroxymethylglutaryl-CoA reductase inhibitors, or statins, decreases the risk for developing Alzheimer disease (AD). However, statin-mediated AD protection cannot be fully explained by reduction of cholesterol levels. In addition to their cholesterol lowering effects, statins have pleiotropic actions and act to lower the concentrations of isoprenoid intermediates, such as geranylgeranyl pyrophosphate and farnesyl pyrophosphate. The Rho and Rab family small G-proteins require addition of these isoprenyl moieties at their C termini for normal GTPase function. In neuroblastoma cell lines, treatment with statins inhibits the membrane localization of Rho and Rab proteins at statin doses as low as 200 nm, without affecting cellular cholesterol levels. In addition, we show for the first time that at low, physiologically relevant, doses statins preferentially inhibit the isoprenylation of a subset of GTPases. The amyloid precursor protein (APP) is proteolytically cleaved to generate beta-amyloid (Abeta), which is the major component of senile plaques found in AD. We show that inhibition of protein isoprenylation by statins causes the accumulation of APP within the cell through inhibition of Rab family proteins involved in vesicular trafficking. Moreover, inhibition of Rho family protein function reduces levels of APP C-terminal fragments due to enhanced lysosomal dependent degradation. Statin inhibition of protein isoprenylation results in decreased Abeta secretion. In summary, we show that statins selectively inhibit GTPase isoprenylation at clinically relevant doses, leading to reduced Abeta production in an isoprenoid-dependent manner. These studies provide insight into the mechanisms by which statins may reduce AD pathogenesis.

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 · 10.1074/jbc.m702640200

Cites

7 of 7 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?

  • Several studies have demonstrated that statin-mediated RhoA/ROCK inhibition reduces NFT formation and decreases Aβ production.

    “Indeed, several studies have demonstrated that statin-mediated RhoA/ROCK inhibition reduces NFT formation and decreases Aβ production [182,183,187,224].”

    From RhoA Signaling in Neurodegenerative Diseases (2022) · cites this paper as [183]

    The H4-cell results (indexed copy, section labeled Abstract; no page given) report that statins and Rho-family inhibition decreased Aβ secretion. The passages do not report reduced neurofibrillary tangle (NFT) formation or establish ROCK inhibition as the mechanism, so those parts of the attributed claim are unsupported. (LLM, conf=0.90)

    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: 12

  1. [1]1. Masters, C.L. ∙ Simms, G. ∙ Weinman, N.A. ... Proc. Natl. Acad. Sci. U. S. A. 1985; 82:4245-4249 Crossref Scopus (3911) PubMed Google Scholar
  2. [2]2. Glenner, G.G. ∙ Wong, C.W. Biochem. Biophys. Res. Commun. 1984; 120:885-890 Crossref Scopus (4518) PubMed Google Scholar
  3. [3]3. Vassar, R. ∙ Bennett, B.D. ∙ Babu-Khan, S. ... Science. 1999; 286:735-741 Crossref Scopus (3456) PubMed Google Scholar
  4. [4]4. Sinha, S. ∙ Anderson, J.P. ∙ Barbour, R. ... Nature. 1999; 402:537-540 Crossref Scopus (1514) PubMed Google Scholar
  5. [5]5. Kim, S.H. ∙ Yin, Y.I. ∙ Li, Y.M. ... J. Biol. Chem. 2004; 279:48615-48619 Full Text Full Text (PDF) Scopus (57) PubMed Google Scholar
  6. [6]6. Kinoshita, A. ∙ Fukumoto, H. ∙ Shah, T. ... J. Cell Sci. 2003; 116:3339-3346 Crossref Scopus (240) PubMed Google Scholar
  7. [7]7. Chyung, J.H. ∙ Raper, D.M. ∙ Selkoe, D.J. J. Biol. Chem. 2005; 280:4383-4392 Full Text Full Text (PDF) Scopus (138) PubMed Google Scholar
  8. [8]8. Tarassishin, L. ∙ Yin, Y.I. ∙ Bassit, B. ... Proc. Natl. Acad. Sci. U. S. A. 2004; 101:17050-17055 Crossref Scopus (96) PubMed Google Scholar
  9. [9]9. Dugan, J.M. ∙ deWit, C. ∙ McConlogue, L. ... J. Biol. Chem. 1995; 270:10982-10989 Full Text Full Text (PDF) Scopus (63) PubMed Google Scholar
  10. [10]10. McConlogue, L. ∙ Castellano, F. ∙ deWit, C. ... J. Biol. Chem. 1996; 271:1343-1348 Full Text Full Text (PDF) Scopus (60) PubMed Google Scholar
  11. [11]11. Maltese, W.A. ∙ Wilson, S. ∙ Tan, Y. ... J. Biol. Chem. 2001; 276:20267-20279 Full Text Full Text (PDF) Scopus (50) PubMed Google Scholar
  12. [12]12. Nobes, C.D. ∙ Hall, A. Cell. 1995; 81:53-62

Cited by

Sorted by citations

Authors
Ostrowski, S. M., Wilkinson, B. L., Golde, T. E., & Landreth, G.
Affiliations
  • Case Western Reserve University (US)
  • Mayo Clinic (US)
Corresponding author
Landreth, Gary
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
2007-09
Volume
282
Issue
37
Pages
26832-26844
ISSN
0021-9258 (ISSN-L)
OpenAlex
W2034038074
Cited by
180
References
7
Citations by year
2026: 2 · 2025: 7 · 2024: 3 · 2023: 4 · 2022: 10 · 2021: 3 · 2020: 4 · 2019: 5 · 2018: 13 · 2017: 5 · 2016: 6 · 2015: 19 · 2014: 12 · 2013: 11 · 2012: 12
FWCI
10.56
Type
journal article
Language
en
Open access
Locations
  • Journal of Biological Chemistry (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
National Institute of General Medical Sciences (T32GM007250)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
Keywords
statins, isoprenylation, Alzheimer's disease, amyloid-beta production, amyloid precursor protein, Rho GTPases, Rab GTPases, geranylgeranyl pyrophosphate, farnesyl pyrophosphate, vesicle trafficking, lysosomal degradation, APP C-terminal fragments, cholesterol lowering
MeSH terms
Animals, Bacterial Toxins, Lovastatin, Lysosomes, Mevalonic Acid, Mice, Inbred C57BL, Peptide Fragments, Amyloid beta-Peptides, Protein Prenylation, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Simvastatin, rab GTP-Binding Proteins, rho GTP-Binding Proteins, Cell Line, Tumor, 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