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Copyright © Cell Stress Society International 2008 Sequence analyses of presenilin mutations linked to familial Alzheimer’s disease Section of Genetics, Department of Pediatrics, M.I.N.D. Institute, University of California – Davis Medical Center, Sacramento, CA 95817 USA Jinoh Kim, Phone: +1-916-7030451, Fax: +1-916-7030370, Email: jinoh.kim/at/ucdmc.ucdavis.edu. Corresponding author.Received January 22, 2008; Revised April 7, 2008; Accepted April 9, 2008. Abstract Familial Alzheimer’s disease (FAD)-linked presenilin (PS) mutations show gain-of-toxic-function characteristics. These FAD PS mutations are scattered throughout the PS molecule, reminiscent of the distribution of cystic fibrosis transmembrane conductance regulator and p53 mutations. Because of the scattered distribution of PS mutations, it is difficult to infer mechanistic insights about how these mutations cause the disease similarly. Recent careful reexamination of γ-secretase activity indicates that some PS mutations decrease the proteolytic activity of γ-secretase, suggesting a loss-of-function nature of PS mutations. To extend this observation to all known PS mutations, a large number of PS mutations were evaluated using bioinformatic tools. The analyses reveal that as many as one third of PS1 residues are highly conserved, that about 75% of FAD mutations are located to the highly conserved residues, and that most PS mutations likely damage the activity of PS. These results are consistent with the idea that the majority of PS mutations lower the activity of PS/γ-secretase. Keywords: Alzheimer’s disease, Presenilin mutations, Protein misfolding, Sequence analyses Introduction Alzheimer’s disease (AD) is a neurodegenerative disease affecting millions of people usually at a later stage of life. Affected individuals suffer from difficulties in memory, judgment, abstraction, and language (see Walsh and Selkoe 2004 for review). These behavioral manifestations are closely linked to lesions in the medial temporal lobe and cortical networks which play a crucial role in long-term, declarative memory (see Buckner 2004 for review). These regions of the brain are invariably studded with characteristic aggregates such as extracellular neuritic plaques and intracellular neurofibrilary tangles in AD patients (Walsh and Selkoe 2004). A major constituent of the amyloid plaque is small Aβ peptide fragments derived from the β-amyloid precursor protein (APP). APP is cleaved along the secretory pathway by several proteases, two of which, β- and γ-secretases, generate the Aβ peptide. Another pathological hallmark of AD is the neurofibrillary tangles that are found in cell bodies and apical dendrites. The major proteinaceous component is abnormally phosphorylated tau proteins (Walsh and Selkoe 2004). A currently accepted model is that soluble forms of extracellular amyloid peptides signal cells to form intraneuronal tangles, which doom neurons to a destructive fate (Haass and Selkoe 2007). A small fraction of AD is inherited in an autosomal dominant fashion (Price and Sisodia 1998) and is genetically heterogeneous. Most familial AD (FAD) cases are due to mutations in APP and presenilin 1 and 2 (PS1 and PS2). PS is a catalytic subunit of γ-secretase that processes APP (Selkoe and Wolfe 2007). γ-Secretase generates amyloid peptides such as Aβ40 and Aβ42 in concert with β-secretase from APP. FAD-linked APP mutations act either by increasing overall production of Aβ40 and Aβ42 or by enhancing propensity of amyloid fragments to aggregate, or by specifically overproducing Aβ42 (Walsh and Selkoe 2004). Most FAD-linked PS1 mutations tested so far increase the ratio of Aβ42/Aβ40, consistent with the idea that increases of the relative or absolute level of toxic Aβ42 may trigger AD (Wolfe 2007), while some FAD-linked PS1 mutations fail to increase neurotoxic Aβ42 or the Aβ42/Aβ40 ratio (Shioi et al. 2007). Because many APP or PS mutants change the level of Aβ production, one can expect that any gene or reagent that regulates Aβ metabolism may also affect AD pathology. Many cell-based assays monitoring Aβ metabolism have contributed to the identification of genes or chemicals that modulate Aβ synthesis (Kukar et al. 2005; Zhou et al. 2005; Chen et al. 2006; Weggen et al. 2007). At the molecular level, it is challenging to figure out how such mutations affect Aβ generation. Most APP mutations are found near cleavage sites of α-, β-, and γ-secretases implying that these mutations compromise the cleavage action by each secretase. On the other hand, more than 100 FAD-linked PS1 mutations are spread throughout the molecule, defeating simple explanations. It is interesting to note that this scattered mutation pattern has been observed in other proteins such as cystic fibrosis transmembrane conductance regulator (CFTR) and p53 (Gelman and Kopito 2002). Remarkably, more than 1,500 mutations in the CFTR gene (1,480 amino acids) have been linked to cystic fibrosis (http://www.genet.sickkids.on.ca/cftr). The mutations in CFTR and p53 cause a varying degree of loss of function biochemically and genetically. On the other hand, PS mutations are considered a gain of toxic function genetically. For example, the ablation of one copy of PS1 is asymptomatic in mice (although not confirmed in human), and missense mutations dominantly predispose carriers to AD (De Strooper 2007). It has been recently shown that a few selected PS mutations cause a loss of function biochemically (for example, reduced proteolytic activity; Bentahir et al. 2006) and that the reduction in proteolytic activity of PS may be mechanistically linked to an increased ratio of Aβ42/Aβ40 (Wolfe 2007). Thus, it will be important to examine whether the majority of all known PS mutations reduces proteolytic activity of γ-secretase. To test whether the characteristics of FAD PS mutations provide an insight with regard to structure and function of PS/γ-secretase, 14 PS sequences from distantly related species were analyzed using bioinformatic approaches. The results suggest that most FAD PS mutations lead to a loss of structure and function of PS/γ-secretase biochemically. Conservation of PS and pattern of FAD-linked PS mutations Because not all the functionally and structurally critical residues of PS are known, it was necessary to find a way to recognize such residues. On the assumption that critical residues would be conserved across different species, 14 PS sequences from various species including Chlamydomonas and Arabidopsis were compared (Fig. 1
Conserved residues were classified according to the degree of conservation (Table 1; when a residue is conserved in 12 PS sequences among 14 sequences, it is represented as 12/14). As expected, previously identified motifs such as the active site residues and their surrounding residues were found among the conserved residues (Fig. 1
The multiple sequence alignment also showed that many PS1 residues are highly conserved (159 out of 467; 34%; Fig. 1 Based on the pattern of FAD PS1 mutations, we asked whether or not FAD PS2 mutations follow this trend. Indeed, despite a small pool of FAD-linked mutations, a similar pattern was observed with 75% (six out of eight residues) of FAD mutations being located to highly conserved residues (Table 1). Strikingly, Nakaya et al. (2005) identified residues affecting proteolytic activity of PS1 by randomly mutagenizing the PS1 gene. When these mutations were mapped (Fig. 1 The core region (CR) of p53 is highly enriched with missense mutations (Soussi and Wiman 2007). All residues of the CR have been found to be mutated in human cancers. This is because the CR of p53 is highly flexible and cycles between folded and unfolded states, rendering fragility to the protein (Joerger and Fersht 2007) and making the CR of p53 a binding site for Hsp90 (Rüdiger et al. 2002). The mutations on the CR lead to a loss of function ranging from partial to complete loss of activity (Kato et al. 2003). In fact, it has been shown that the probability of a random mutation to cause a genetic disease increases as the degree of conservation goes up (Vitkup et al. 2003). Similarly, many FAD PS mutations found in the highly conserved regions of PS also likely cause a varying degree of loss of activity of PS because conserved residues likely play an important role for proper structure and function of the protein (Ng and Henikoff 2006). Prediction for activity of PS variants based on bioinformatic approaches To predict the extent to which PS1 missense mutations affect the activity of γ-secretase, three independent prediction methods were employed (Tables 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 12). These methods score whether an amino acid substitution at a certain position is tolerated based on sequence homology and physicochemical properties of amino acids (Sorting Intolerant From Tolerant [SIFT], http://blocks.fhcrc.org/sift/SIFT.html; Protein Analysis Through Evolutionary Relationships [PANTHER] PSEC, http://www.pantherdb.org/; Align-Grantham variation–Grantham deviation [GVGD], http://agvgd.iarc.fr/). These approaches have been used to evaluate how missense mutations abrogate or increase/decrease protein function (Vitkup et al. 2003; Brunham et al. 2005; Mathe et al. 2006). When these analyses were applied to PS1 missense mutations, SIFT, PANTHER, and A-GVGD predicted 94, 90, and 139 mutations (out of 145 mutations) to be deleterious (Tables 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 12). As a control, nonpathogenic mutations (R35Q, F175S, and E318G) were also analyzed. The PANTHER prediction turned out to be the most stringent of the three methods. This is consistent with the report that PANTHER yields a high false-negative rate (59%; the percentage of substitutions predicted to be functionally neutral on a set of amino acid substitutions that are known to affect protein function) compared to SIFT (31%; Ng and Henikoff 2006). The accuracy of the Align-GVGD on p53 for deleterious and neutral mutants was 88.1% and 71.2%, respectively (Mathe et al. 2006). Similarly, the Aligh-GVGD prediction for deleterious and neutral mutants of PS1 was 95.9% (139 of 145) and 67% (two of three), respectively. These results suggest that most FAD-linked PS1 mutations reduce the activity of PS1.
Experimental observations consistent with loss of activities of clinically isolated PS1 variants The reduction/elimination of the activity of sel-12 (a PS homolog) causes an egg-laying defective phenotype due to defective signaling of the Lin-12/Notch pathway in Caenorhabditis elegans (Sundaram and Greenwald 1993). Normal human PS can substitute for the C. elegans SEL-12 protein in vivo, whereas FAD-linked mutant human PSs have reduced ability to rescue the phenotype caused by sel-12 disruption (Levitan et al. 1996). Proteolytic release of the Notch-1 intracellular domain (NICD) is critical for Notch signaling, and this proteolysis is impaired in PS1 null cells and restored by PS1 expression (Song et al. 1999). However, some FAD-linked PS1 mutations display reduced ability to generate the NICD, consistent with the genetic data obtained from C. elegans (Levitan et al. 1996). FAD-linked PS1 mutations also appear to have a reduced activity toward other PS substrates (Marambaud et al. 2003; Bentahir et al. 2006). The absence of PS1 causes the accumulation of cytosolic β-catenin, resulting in accelerated entry into the S phase of the cell cycle (Soriano et al. 2001). This hyperproliferative response is rescued by PS1 expression but not by two different FAD-linked PS1 mutants (Soriano et al. 2001). Wild-type PS1 may also activate the PI3K/Akt signaling pathway. In contrast, PS1 FAD mutations inhibit PS1-dependent PI3K/Akt activation, thus promoting glycogen synthase kinase 3 (GSK-3) activity and tau overphosphorylation (Baki et al. 2004). PS is believed to regulate capacitative calcium entry (CCE) – a mechanism for refilling intracellular Ca2+ through plasma membrane channels. FAD-linked PS variants attenuate CCE (Yoo et al. 2000). PS also appears to be responsible for approximately 80% of passive Ca2+ leak from the endoplasmic reticulum (ER; Tu et al. 2006). Clinical PS mutations are defective in Ca2+ leak from the ER (Tu et al. 2006). The anterograde fast axonal transport of APP and Trk receptors is impaired in the sciatic nerves of transgenic mice expressing two independent FAD-linked PS1 variants compared to the transport in the comparable nerves of transgenic mice expressing the wild-type human PS1 (Lazarov et al. 2007). The expression of FAD-linked PS1 mutants likely leads to increased GSK-3 activity and the reduction in kinesin-1-based transport of a subset of membrane cargo proteins (Pigino et al. 2003). However, despite the various defects described in this section, it remains to be discovered how these defective activities of mutant PS contribute to AD. Defective protein folding as an underlying cause of impaired PS functions A PS1 mutation seems to cause multiple defects in PS functions. Pleiotropic defects associated with a mutation may be caused by protein misfolding. For example, CFTR ΔF508 displays loss-of-function phenotypes as indicated from defective export from the ER and unstable response to agonists. This is due to the disruption in protein folding (see Gelman and Kopito 2002 for review). The incubation of cells expressing CFTR ΔF508 in a medium containing a high concentration of chemical chaperones such as glycerol and trimethylamine N-oxide (TMAO) increased the steady-state level of mature CFTR at the cell surface and restored a functional Cl− ion channel activity by assisting protein folding (Welch and Brown 1996; Brown et al. 1996; see Brown et al. 1997 for a review). It has been suggested that some FAD PS1 mutations change the conformation of PS1 (Berezovska et al. 2005). It is interesting to note that two FAD PS1 variants, ΔE9 and M146L, displayed a defect in export from the ER (Kim et al. 2007). However, the ER export defect of PS1 ΔE9 was milder than that of CFTR ΔF508 as indicated in the mild disruption of the steady-state distribution of PS1 ΔE9 (Kim et al. 2000). In addition, TMAO partially rescued the ER export defect of PS1 ΔE9 (Kim et al. 2007). This result suggests that indeed some FAD PS mutations alter PS folding, contributing to pleiotropic impairments of PS functions. Do human genetic data support the loss-of-function theory? Although our sequence analyses point to a loss-of-function property of PS mutations in a biochemical sense, genetically, FAD PS mutations clearly demonstrate gain-of-toxic-function characteristics as illustrated by De Strooper (2007). Nevertheless, there are a few occasional reports supporting a genetic loss-of-function theory such as PS1 promoter mutations (Theuns et al. 2000, 2003; Lambert et al. 2001) and a PS1 truncation mutation (Tysoe et al. 1998). However, the frequency of these mutations is far less than that of PS missense mutations, and these observations await independent confirmation. Thus, more of such mutations should surface to support the loss-of-function theory of FAD PS mutations from a genetic point of view. Loss of function and aberrant Aβ production An important question is how an apparently reduced activity of γ-secretase can result in a gain of toxic function. It has been suggested that the reduced activity of γ-secretase can be linked to an increased ratio of Aβ42/Aβ40 due to the processive nature of this enzyme (Sato et al 2003; Qi-Takahara et al. 2005; Wolfe 2007). For example, γ-secretase consecutively trims Aβ49 or Aβ48 (precursors of Aβ or new cleavage products of APP by γ-secretase) to Aβ46, Aβ43, Aβ40, or to Aβ45, Aβ42, and Aβ39, respectively. If γ-secretase becomes inefficient due to a PS mutation or an APP mutation, γ-secretase fails to process the substrate to smaller fragments and prematurely releases longer forms of amyloid peptide. This will result in an increased ratio of Aβ42/Aβ40. This also explains why deleting one copy of PS1 does not affect the ratio of Aβ42/Aβ40. Conclusion In summary, this bioinformatic analysis extends the notion that most FAD-linked PS mutations dampen the activity of γ-secretase. More mutations may be found in highly conserved regions of PS in the future. The scattered distribution of PS mutations appears to reflect the distribution of conserved residues of PS which are structurally and functionally critical to the enzymatic activity of γ-secretase. Acknowledgments The author thanks Dr. Simeon Boyadjiev Boyd for critical reading. This work was supported in part by the Korean Research Foundation Postdoctoral Fellowship to S.D. Kim (MOEHRD:KRF-2007-357-E00005). References
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Neuron. 2004 Sep 30; 44(1):181-93.
[Neuron. 2004]Neuron. 2004 Sep 30; 44(1):195-208.
[Neuron. 2004]Nat Rev Mol Cell Biol. 2007 Feb; 8(2):101-12.
[Nat Rev Mol Cell Biol. 2007]Annu Rev Neurosci. 1998; 21():479-505.
[Annu Rev Neurosci. 1998]Cell. 2007 Oct 19; 131(2):215-21.
[Cell. 2007]Neuron. 2004 Sep 30; 44(1):181-93.
[Neuron. 2004]EMBO Rep. 2007 Feb; 8(2):136-40.
[EMBO Rep. 2007]J Neurochem. 2007 May; 101(3):674-81.
[J Neurochem. 2007]Nat Med. 2005 May; 11(5):545-50.
[Nat Med. 2005]Proc Natl Acad Sci U S A. 2005 May 24; 102(21):7499-504.
[Proc Natl Acad Sci U S A. 2005]Nature. 2006 Apr 27; 440(7088):1208-12.
[Nature. 2006]Trends Pharmacol Sci. 2007 Oct; 28(10):536-43.
[Trends Pharmacol Sci. 2007]J Clin Invest. 2002 Dec; 110(11):1591-7.
[J Clin Invest. 2002]EMBO Rep. 2007 Feb; 8(2):141-6.
[EMBO Rep. 2007]J Neurochem. 2006 Feb; 96(3):732-42.
[J Neurochem. 2006]EMBO Rep. 2007 Feb; 8(2):136-40.
[EMBO Rep. 2007]J Biol Chem. 2004 Jun 4; 279(23):23925-32.
[J Biol Chem. 2004]Nucleic Acids Res. 1994 Nov 11; 22(22):4673-80.
[Nucleic Acids Res. 1994]J Biol Chem. 2005 May 13; 280(19):19070-7.
[J Biol Chem. 2005]Science. 2002 Jun 21; 296(5576):2215-8.
[Science. 2002]Nucleic Acids Res. 1994 Nov 11; 22(22):4673-80.
[Nucleic Acids Res. 1994]J Biol Chem. 2005 May 13; 280(19):19070-7.
[J Biol Chem. 2005]Science. 2002 Jun 21; 296(5576):2215-8.
[Science. 2002]Nature. 1999 Apr 8; 398(6727):513-7.
[Nature. 1999]Science. 2002 Jun 21; 296(5576):2215-8.
[Science. 2002]Cell. 2007 Oct 19; 131(2):215-21.
[Cell. 2007]EMBO J. 2004 Jul 7; 23(13):2586-96.
[EMBO J. 2004]J Biol Chem. 2005 Dec 23; 280(51):41987-96.
[J Biol Chem. 2005]Cell. 2006 Sep 8; 126(5):981-93.
[Cell. 2006]Proc Natl Acad Sci U S A. 2007 Aug 14; 104(33):13337-42.
[Proc Natl Acad Sci U S A. 2007]J Biol Chem. 2005 May 13; 280(19):19070-7.
[J Biol Chem. 2005]Cancer Cell. 2007 Oct; 12(4):303-12.
[Cancer Cell. 2007]Oncogene. 2007 Apr 2; 26(15):2226-42.
[Oncogene. 2007]Proc Natl Acad Sci U S A. 2002 Aug 20; 99(17):11085-90.
[Proc Natl Acad Sci U S A. 2002]Proc Natl Acad Sci U S A. 2003 Jul 8; 100(14):8424-9.
[Proc Natl Acad Sci U S A. 2003]Genome Biol. 2003; 4(11):R72.
[Genome Biol. 2003]Genome Biol. 2003; 4(11):R72.
[Genome Biol. 2003]Nucleic Acids Res. 2006; 34(5):1317-25.
[Nucleic Acids Res. 2006]Annu Rev Genomics Hum Genet. 2006; 7():61-80.
[Annu Rev Genomics Hum Genet. 2006]Genome Res. 2003 Sep; 13(9):2129-41.
[Genome Res. 2003]Science. 1974 Sep 6; 185(4154):862-4.
[Science. 1974]Annu Rev Genomics Hum Genet. 2006; 7():61-80.
[Annu Rev Genomics Hum Genet. 2006]Genome Res. 2003 Sep; 13(9):2129-41.
[Genome Res. 2003]Science. 1974 Sep 6; 185(4154):862-4.
[Science. 1974]Nucleic Acids Res. 2006; 34(5):1317-25.
[Nucleic Acids Res. 2006]Annu Rev Genomics Hum Genet. 2006; 7():61-80.
[Annu Rev Genomics Hum Genet. 2006]Genome Res. 2003 Sep; 13(9):2129-41.
[Genome Res. 2003]Science. 1974 Sep 6; 185(4154):862-4.
[Science. 1974]Nucleic Acids Res. 2006; 34(5):1317-25.
[Nucleic Acids Res. 2006]Genetics. 1993 Nov; 135(3):755-63.
[Genetics. 1993]Proc Natl Acad Sci U S A. 1996 Dec 10; 93(25):14940-4.
[Proc Natl Acad Sci U S A. 1996]Proc Natl Acad Sci U S A. 1999 Jun 8; 96(12):6959-63.
[Proc Natl Acad Sci U S A. 1999]Cell. 2003 Sep 5; 114(5):635-45.
[Cell. 2003]J Neurochem. 2006 Feb; 96(3):732-42.
[J Neurochem. 2006]J Cell Biol. 2001 Feb 19; 152(4):785-94.
[J Cell Biol. 2001]EMBO J. 2004 Jul 7; 23(13):2586-96.
[EMBO J. 2004]Neuron. 2000 Sep; 27(3):561-72.
[Neuron. 2000]Cell. 2006 Sep 8; 126(5):981-93.
[Cell. 2006]J Neurosci. 2007 Jun 27; 27(26):7011-20.
[J Neurosci. 2007]J Neurosci. 2003 Jun 1; 23(11):4499-508.
[J Neurosci. 2003]J Clin Invest. 2002 Dec; 110(11):1591-7.
[J Clin Invest. 2002]Cell Stress Chaperones. 1996 Jun; 1(2):109-15.
[Cell Stress Chaperones. 1996]Cell Stress Chaperones. 1996 Jun; 1(2):117-25.
[Cell Stress Chaperones. 1996]J Bioenerg Biomembr. 1997 Oct; 29(5):491-502.
[J Bioenerg Biomembr. 1997]J Neurosci. 2005 Mar 16; 25(11):3009-17.
[J Neurosci. 2005]EMBO Rep. 2007 Feb; 8(2):141-6.
[EMBO Rep. 2007]Hum Mol Genet. 2000 Feb 12; 9(3):325-31.
[Hum Mol Genet. 2000]Hum Mol Genet. 2003 Apr 15; 12(8):869-77.
[Hum Mol Genet. 2003]J Med Genet. 2001 Jun; 38(6):353-5.
[J Med Genet. 2001]Am J Hum Genet. 1998 Jan; 62(1):70-6.
[Am J Hum Genet. 1998]J Biol Chem. 2003 Jul 4; 278(27):24294-301.
[J Biol Chem. 2003]J Neurosci. 2005 Jan 12; 25(2):436-45.
[J Neurosci. 2005]EMBO Rep. 2007 Feb; 8(2):136-40.
[EMBO Rep. 2007]