Research reportAmyloid precursor protein mRNA levels in Alzheimer's disease brain
Introduction
Insoluble β-amyloid deposits in Alzheimer's disease (AD) brain are proteolytically derived from the membrane bound amyloid precursor protein (APP). The APP gene spans almost 300,000 bases of DNA from which 18 exons can be alternatively spliced [14]. A functional classification can be made into those APP isoforms containing exon 7 that codes for a Kunitz-type serine protease inhibitor domain (K+, APP751, APP770, APRP365 and APRP563), and those without (K−, APP695 and APP714,). The figures refer to the number of amino acids in each isoform, whilst APRP stands for amyloid precursor related protein. APRPs are spliced from the same gene as APP but lack the Aβ sequence. The mRNAs for APRPs also lack any transmembrane domains and are most likely coding for secreted soluble proteins [8], [18]. These isoforms have been described previously: APP695 [23], APP751 [40], [49], APP770 [24] APRP563 [8], APP714 [10], [47] and APRP365 [18].
The 56 amino acid insert coded by exon 7 of the APP gene was found to be similar to a group of 17 polypeptides that were all members of a family of Kunitz-type serine protease inhibitors [24], [28], [40], [49]. COS-1 cells transfected with APP770 showed an increased inhibition of trypsin activity [24]. Subsequent searches of the Protein Identification Resource database revealed that the secreted forms of APP K+ are nearly identical to protease-nexin II (PN-II), a cell-secreted protease inhibitor. APP751 formed stable, non-covalent, inhibitory complexes with trypsin, whereas APP695 did not [36]. Given the hypothesis that Aβ results from aberrant catabolism of APP, differential expression of mRNA isoforms containing protease inhibitors may play an active role in the pathology of AD. Either too much or too little expression of APP/APRP mRNA with KPI domains may upset Aβ processing and result in excessive deposition of Aβ.
Since 1987 over 30 studies have tried to establish a differential expression of APP isoforms in the disease, and in particular a change in the KPI+/− isoforms ratio [1], [5], [6], [10], [12], [13], [17], [19], [20], [21], [22], [24], [25], [26], [27], [31], [32], [33], [34], [35], [37], [38], [39], [40], [43], [44], [45], [46], [47], [48], [49], [50]. A combination of factors, however, have made it difficult to assess APP mRNA levels and as such there is no consensus on whether K+/K− mRNA ratios are altered [13], [17]. Reported attempts are difficult to compare and often inconsistent because of heterogeneity in methods used and terms of reference, brain areas assessed, differences in neuropathological criteria and most important of all, though rarely discussed, cross-hybridisation of probes to more than one APP/APRP isoform. The latter is significant since studies between 1988 and 1991 were unaware of the existence of the various APP isoforms and their conclusions were based only on information known at the time. Without discrete measurements of the different isoforms interpretation is difficult and misleading.
To re-assess the K+/K− mRNA ratio in AD we extracted poly A from 513 cortical samples taken from 90 AD and 81 control brains. Results were analysed with methods developed previously [3], [4], [41], [42].
Section snippets
Tissue collection
Brain tissue was obtained from the MRC Brain Bank for Neurodegenerative Diseases, Department of Neuropathology, Institute of Psychiatry, King's College London. The AD cases met the clinical criteria for a diagnosis of probable AD [30]. None of the control cases had any history of neurological or psychiatric illness and all were examined neuropathologically as were the AD cases. Tissue was obtained with informed consent of the next-of-kin and according to Local Ethics Committee guidelines. At
Levels of mRNA
All of the genes tested, including reference genes, had lower levels of mRNA in AD relative to control brains, as well as in females relative to males (Fig. 1 and Table 1). Therefore, there was a need for a reference gene against which the test gene could be measured in relative terms. After extensive analysis of reference gene issues [3] we decided to use Analysis of Covariance (ANOCOVA) with three reference genes (β-actin, GAPDH and cyclophilin) as simultaneous covariates. Table 2 and Fig. 2
Acknowledgements
Post-mortem brain tissue was kindly provided by the Brain Bank, Department of Neuropathology, Institute of Psychiatry, King's College London. Many thanks are also due to Brian Bond of Glaxo SmithKline Pharmaceuticals for his extensive advice on statistical issues.
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2013, Biochemical and Biophysical Research CommunicationsCitation Excerpt :However, the cause(s) leading to the down-regulation is unclear. Longer APP isoforms containing the KPI-domain have been reported to increase in AD brain [5–8] but the functional consequence of this increase is unclear. Studies have shown APP695 and APP751 have different susceptibility toward α- and β-secretase cleavage, affecting Aβ production [12,13].
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2012, Journal of Biological ChemistryCitation Excerpt :This event results in the shedding of the sAPPα ectodomain and the generation of the 83-amino acid C-terminal fragment (C83) (3), which can be further processed by γ-secretase in a similar way as for C99, giving rise to the analogous APP intracellular domain and a small p3 (14) fragment instead of Aβ. Several studies have demonstrated altered APP metabolism in AD patients with increased (15–17) or decreased (16, 18) APP expression as well as up- or down-regulated β- and α-secretase activity, respectively, supporting a mismetabolism of APP in AD. Altered copper levels in hippocampus, amygdala, neuropil, cerebrospinal fluid, and serum of AD patients have also been reported (19–23).