Inhibition of BACE1 affected both its Aß producing and degrading activities and increased Aß42 and Aß40 levels at high level BACE1 expression.

The beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) is the predominant ß-secretase, cleaving the amyloid precursor protein (APP) via the amyloidogenic pathway. In addition, BACE1 as an amyloid degrading enzyme (ADE), cleaves Aß to produce the C-terminally truncated non-toxic Aß fragment Aß34 which is an indicator of amyloid clearance. Here, we analyzed effects of BACE1 inhibitors on its opposing enzymatic functions, i.e., amyloidogenic (Aß producing) and amyloidolytic (Aß degrading) activities, using cell culture models with varying BACE1/APP ratios. Under high level BACE1 expression, low-dose inhibition unexpectedly yielded a two-fold increase in Aß42 and Aß40 levels. The concomitant decrease in Aß34 and secreted APPß levels suggested that the elevated Aß42 and Aß40 levels were due to the attenuated Aß degrading activity of BACE1. Notably, the amyloidolytic activity of BACE1 was impeded at lower BACE1 inhibitor concentrations compared to its amyloidogenic activity, thereby suggesting that the Aß degrading activity of BACE1 was more sensitive to inhibition than its Aß producing activity. Under endogenous BACE1 and APP levels, "low-dose" BACE1 inhibition affected both the Aß producing and degrading activities of BACE1, i.e., significantly increased Aß42/Aß40 ratio and decreased Aß34 levels, respectively. Further, we incubated recombinant BACE1 with synthetic Aß peptides and found that BACE1 has higher affinity for Aß substrates over APP. In summary, our results suggest that stimulating BACE1's ADE activity and halting Aß production without decreasing Aß clearance could still be a promising therapeutic approach with new, yet to be developed, BACE1 modulators.

Two novel phages, Klebsiella phage GADU21 and Escherichia phage GADU22, from the urine samples of patients with urinary tract infection.

Phages are found in a wide variety of places where bacteria exist including body fluids. The aim of the present study was to isolate phages from the urine samples of patients with urinary tract infection. The 10 urine samples were cultured to isolate bacteria and also used as phage sources against the isolated bacteria. From 10 urine samples with positive cultures, 3 phages were isolated (33%) and two of them were further studied. The Klebsiella phage GADU21 and Escherichia phage GADU22 phages infected Klebsiella pneumonia and Escherichia coli, respectively. Among the tested 14 species for host range analysis, the Klebsiella phage GADU21 was able to infect two species which are Klebsiella pneumonia and Proteus mirabilis, and Escherichia phage GADU22 was able to infect four species which are Shigella flexneri, Shigella sonnei and Escherichia coli. Among different isolates of the indicator bacteria for each phage, GADU21 infected half of the tested 20 Klebsiella pneumonia isolates while GADU22 infected 85% of the tested 20 E. coli isolates. The genome sizes and GC ratios were 75,968 bp and 44.4%, and 168,023 bp and 35.3% for GADU21 and GADU22, respectively. GADU21 and GADU22 were both lytic and had no antibiotic resistance and virulence genes. GADU21 was homologue with Klebsiella phage vB_KpP_FBKp27 but only 88% of the genome was covered by this phage. The non-covered parts of the GADU21 genome included genes for tail-fiber-proteins and HNH-endonuclease. GADU22 had 94.8% homology with Escherichia phage vB_Eco_OMNI12 and had genes for immunity proteins. Phylogenetic analysis showed GADU21 and GADU22 were members of Schitoviridae family and Efbeekayvirus genus and Straboviridae family and Tevenvirinae genus, respectively. VIRIDIC analysis classified these phages in new species clusters. Our study demonstrated the possibility to use infected body fluids as phage sources to isolate novel phages. GADU21 is the first reported Klebsiella phage isolated from human body fluid. The absence of virulence and antibiotic resistance genes in their genomes makes the phages a potential therapeutic tool against infections.

Mechanisms of amyloid-ß34 generation indicate a pivotal role for BACE1 in amyloid homeostasis.

The beta­site amyloid precursor protein (APP) cleaving enzyme (BACE1) was discovered due to its "amyloidogenic" activity which contributes to the production of amyloid-beta (Aß) peptides. However, BACE1 also possesses an "amyloidolytic" activity, whereby it degrades longer Aß peptides into a non­toxic Aß34 intermediate. Here, we examine conditions that shift the equilibrium between BACE1 amyloidogenic and amyloidolytic activities by altering BACE1/APP ratios. In Alzheimer disease brain tissue, we found an association between elevated levels of BACE1 and Aß34. In mice, the deletion of one BACE1 gene copy reduced BACE1 amyloidolytic activity by ~ 50%. In cells, a stepwise increase of BACE1 but not APP expression promoted amyloidolytic cleavage resulting in dose-dependently increased Aß34 levels. At the cellular level, a mislocalization of surplus BACE1 caused a reduction in Aß34 levels. To align the role of γ-secretase in this pathway, we silenced Presenilin (PS) expression and identified PS2-γ-secretase as the main γ-secretase that generates Aß40 and Aß42 peptides serving as substrates for BACE1's amyloidolytic cleavage to generate Aß34.

Cathepsin D: Analysis of its potential role as an amyloid beta degrading protease.

Proteolysis catalyzed by the major lysosomal aspartyl protease cathepsin-D (CTSD) appears to be of pivotal importance for proteostasis within the central nervous system and in neurodegeneration. Neuronal Ceroid Lipofuscinosis (NCL) type 10 is caused by a lack of CTSD leading to a defective autophagic flow and pathological accumulation of proteins. We previously demonstrated a therapeutic-relevant clearance of protein aggregates after dosing a NCL10 mouse model with recombinant human pro-cathepsin-D (proCTSD). Similar results could be achieved in cells and mice accumulating α-synuclein. Prompted by these positive effects and our in vitro findings showing that cathepsin-D can cleave the Alzheimer's Disease (AD)-causing amyloid beta peptides (Aß), we envisaged that such a treatment with proCTSD could similarly be effective in clearance of potentially toxic Aß species. We demonstrated that CTSD is able to cleave human Aß1-42 by using liquid chromatography-mass spectrometry. Intracerebral dosing of proCTSD in a NCL10 (CTSD knockout) mouse model revealed uptake and processing of CTSD to its mature and active form. However, the re-addition of CTSD did not obviously affect intracellular APP processing or the generation of soluble APP and Aß-species. ProCTSD treated HEK cells in comparison with untreated cells were found to contain comparable levels of soluble and membrane bound APP and Aß-species. Also, the early intracranial application (P1 and P20) of proCTSD in the 5xFAD mouse model did not change Aß pathology, plaque number and plaque composition and neuroinflammation, however we observed an increased level of Aß1-42 in the CSF. Our data confirm proteolytic cleavage of human Aß1-42 by CTSD but exclude a prominent role of CTSD in APP processing and Aß degradation in our in vitro and in vivo models.

Etoposide Loaded SPION-PNIPAM Nanoparticles Improve the in vitro Therapeutic Outcome on Metastatic Prostate Cancer Cells via Enhanced Apoptosis.

Prostate cancer is among the leading causes of death worldwide because its metastatic form is a deadly disease. Therefore, the development of new chemotherapeutics is of immense importance. Nanoparticle technology seems to provide diverse options in this regard. Therefore, poly(N-isopropylacrylamide) (PNIPAM) coated superparamagnetic iron oxide nanoparticles (SPION) loaded with Etoposide were prepared in small sizes (57 nm) and with 3.5 % drug content to improve the efficiency of Etoposide in prostate cancer therapy. Sustained release of the drug was achieved, which found to be sensitive to low pH and high temperature. The anti-growth activity of SPION-PNIPAM-Etoposide formulation against metastatic prostate cancer cells (PC-3, LNCaP) were investigated by SRB assay, then, confirmed by ATP assay. Mode of cell death was evaluated by using flow cytometry analyses. A significant improvement of nanoformulated drug was observed at 5-10 µg/ml doses of the drug in both cell lines. More importantly, this formulation enhanced the cytotoxic effect of Etoposide on PC-3 cells, which is considered more resistant to Etoposide than LNCaP and reduced the IC50 value by 55 % reaching to 4.5 µg drug/ml, which is a very significant improvement in the literature. It was clearly shown that nanoformulated drug provided about 3-fold increases in caspase-dependent early apoptotic cells in PC-3 cells. The novel formulation seems to successfully cause cell death of especially PC-3 metastatic prostate cancer cells. It should therefore be taken into consideration for further animal studies as a novel potent anticancer agent.

Aß34 is a BACE1-derived degradation intermediate associated with amyloid clearance and Alzheimer's disease progression.

The beta-site APP cleaving enzyme 1 (BACE1) is known primarily for its initial cleavage of the amyloid precursor protein (APP), which ultimately leads to the generation of Aß peptides. Here, we provide evidence that altered BACE1 levels and activity impact the degradation of Aß40 and Aß42 into a common Aß34 intermediate. Using human cerebrospinal fluid (CSF) samples from the Amsterdam Dementia Cohort, we show that Aß34 is elevated in individuals with mild cognitive impairment who later progressed to dementia. Furthermore, Aß34 levels correlate with the overall Aß clearance rates in amyloid positive individuals. Using CSF samples from the PREVENT-AD cohort (cognitively normal individuals at risk for Alzheimer's disease), we further demonstrate that the Aß34/Aß42 ratio, representing Aß degradation and cortical deposition, associates with pre-clinical markers of neurodegeneration. We propose that Aß34 represents a marker of amyloid clearance and may be helpful for the characterization of Aß turnover in clinical samples.

Sparse representations for online-learning-based hyperspectral image compression.

Sparse models provide data representations in the fewest possible number of nonzero elements. This inherent characteristic enables sparse models to be utilized for data compression purposes. Hyperspectral data is large in size. In this paper, a framework for sparsity-based hyperspectral image compression methods using online learning is proposed. There are various sparse optimization models. A comparative analysis of sparse representations in terms of their hyperspectral image compression performance is presented. For this purpose, online-learning-based hyperspectral image compression methods are proposed using four different sparse representations. Results indicate that, independent of the sparsity models, online-learning-based hyperspectral data compression schemes yield the best compression performances for data rates of 0.1 and 0.3 bits per sample, compared to other state-of-the-art hyperspectral data compression techniques, in terms of image quality measured as average peak signal-to-noise ratio.