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Mutations in the transmembrane domain of APP altering gamma-secretase specificity

S F Lichtenthaler1, N Ida, G Multhaup

  • 1Center for Molecular Biology Heidelberg (ZMBH), University of Heidelberg, Im Neuenheimer Feld 282, D-69120 Heidelberg, Germany. ir2@ix.urz.uni-heidelberg.de

Biochemistry
|January 10, 1998
PubMed

Insights

Investigating mutations in amyloid precursor protein (APP) revealed how gamma-secretase activity influences Alzheimer's disease (AD) pathology. Specific mutations increase the production of amyloid-beta 42 (Abeta 42), a key component of AD plaques.

Area of Science:

  • Neuroscience
  • Molecular Biology
  • Biochemistry

Background:

  • Alzheimer's disease (AD) is characterized by amyloid plaques, primarily composed of amyloid-beta 42 (Abeta 42).
  • Abeta peptides are generated from amyloid precursor protein (APP) by beta- and gamma-secretase enzymes.
  • Gamma-secretase cleavage site determines the ratio of Abeta 40 to Abeta 42, influencing AD pathogenesis.

Purpose of the Study:

  • To investigate the impact of mutations at Thr43 within APP on gamma-secretase specificity.
  • To understand how these mutations affect the production ratio of Abeta 42 versus Abeta 40.
  • To explore the potential of these findings for developing AD animal models.

Main Methods:

  • Utilized SPA4CT constructs in COS7 cells, requiring only gamma-cleavage for Abeta release.
  • Introduced point mutations at Thr43 and combined them with the familial Val46Phe mutation.
  • Analyzed the resulting Abeta 42/40 ratios and compared them to full-length APP processing.

Main Results:

  • All Thr43 mutations altered gamma-secretase specificity, favoring Abeta 42 generation.
  • Small hydrophobic residues at Thr43 increased the Abeta 42/40 ratio (1.6-2.8-fold).
  • Combined Thr43 mutations with Val46Phe further elevated the Abeta 42/40 ratio (5.6-5.8-fold).
  • Similar effects on Abeta 42/40 ratios were observed for p3 fragments generated by alpha- and gamma-secretase.

Conclusions:

  • Gamma-secretase cleavage specificity is significantly influenced by mutations within the APP transmembrane domain.
  • These findings provide insights into the enzymatic mechanism of Abeta and p3 fragment generation.
  • The developed constructs and observed mutation effects offer valuable tools for creating more accurate AD animal models.

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