An NO Donor Approach to Neuroprotective and Procognitive Estrogen Therapy Overcomes Loss of NO Synthase Function and Potentially Thrombotic Risk

Selective estrogen receptor modulators (SERMs) are effective therapeutics that preserve favorable actions of estrogens on bone and act as antiestrogens in breast tissue, decreasing the risk of vertebral fractures and breast cancer, but their potential in neuroprotective and procognitive therapy is limited by: 1) an increased lifetime risk of thrombotic events; and 2) an attenuated response to estrogens with age, sometimes linked to endothelial nitric oxide synthase (eNOS) dysfunction. Herein, three 3^rd generation SERMs with similar high affinity for estrogen receptors (ERα, ERβ) were studied: desmethylarzoxifene (DMA), FDMA, and a novel NO-donating SERM (NO-DMA). Neuroprotection was studied in primary rat neurons exposed to oxygen glucose deprivation; reversal of cholinergic cognitive deficit was studied in mice in a behavioral model of memory; long term potentiation (LTP), underlying cognition, was measured in hippocampal slices from older 3×Tg Alzheimer''s transgenic mice; vasodilation was measured in rat aortic strips; and anticoagulant activity was compared. Pharmacologic blockade of GPR30 and NOS; denudation of endothelium; measurement of NO; and genetic knockout of eNOS were used to probe mechanism. Comparison of the three chemical probes indicates key roles for GPR30 and eNOS in mediating therapeutic activity. Procognitive, vasodilator and anticoagulant activities of DMA were found to be eNOS dependent, while neuroprotection and restoration of LTP were both shown to be dependent upon GPR30, a G-protein coupled receptor mediating estrogenic function. Finally, the observation that an NO-SERM shows enhanced vasodilation and anticoagulant activity, while retaining the positive attributes of SERMs even in the presence of NOS dysfunction, indicates a potential therapeutic approach without the increased risk of thrombotic events.     

Algisphaera agarilytica gen. nov., sp. nov., a novel representative of the class Phycisphaerae within the phylum Planctomycetes isolated from a marine alga

A Gram-negative, strictly aerobic, reddish-pink pigmented, motile, spherical, agar-degrading bacterium designated 06SJR6-2^T was isolated from a green coloured marine alga (Cladophora sp.). Phylogenetic analyses based on the 16S rRNA gene sequence indicated that the new strain was affiliated with the class Phycisphaerae and shared 89.2 % sequence similarity with Phycisphaera mikurensis FYK2301M01^T, which is the only validly named member of the class Phycisphaerae. The strain could be differentiated phenotypically from the recognised member of the class Phycisphaerae. The major fatty acids of strain 06SJR6-2^T were identified as C16:0, C18:1ω9c and anteiso-C15:0. Amino acid analysis of cell wall hydrolysates indicated that the novel isolate did not contain diaminopimelic acid in the cell wall. The DNA G+C content of the strain was determined to be 63.0 mol% and the major respiratory quinone was identified as menaquinone 6 (MK-6). From the distinct phylogenetic position and combination of genotypic and phenotypic characteristics, the strain is considered to represent a novel genus in the family Phycisphaeraceae, for which the name Algisphaera agarilytica gen. nov., sp. nov. is proposed. The type strain of A. agarilytica is 06SJR6-2^T (=KCTC 32482^T = NBRC 109894^T).     

Raloxifene and desmethylarzoxifene block estrogen-induced malignant transformation of human breast epithelial cells

There is association between exposure to estrogens and the development and progression of hormone-dependent gynecological cancers. Chemical carcinogenesis by catechol estrogens derived from oxidative metabolism is thought to contribute to breast cancer, yet exact mechanisms remain elusive. Malignant transformation was studied in MCF-10A human mammary epithelial cells, since estrogens are not proliferative in this cell line. The human and equine estrogen components of estrogen replacement therapy (ERT) and their catechol metabolites were studied, along with the influence of co-administration of selective estrogen receptor modulators (SERMs), raloxifene and desmethyl-arzoxifene (DMA), and histone deacetylase inhibitors. Transformation was induced by human estrogens, and selectively by the 4-OH catechol metabolite, and to a lesser extent by an equine estrogen metabolite. The observed estrogen-induced upregulation of CYP450 1B1 in estrogen receptor negative MCF-10A cells, was compatible with a causal role for 4-OH catechol estrogens, as was attenuated transformation by CYP450 inhibitors. Estrogen-induced malignant transformation was blocked by SERMs correlating with a reduction in formation of nucleobase catechol estrogen (NCE) adducts and formation of 8-oxo-dG. NCE adducts can be formed consequent to DNA abasic site formation, but NCE adducts were also observed on incubation of estrogen quinones with free nucleotides. These results suggest that NCE adducts may be a biomarker for cellular electrophilic stress, which together with 8-oxo-dG as a biomarker of oxidative stress correlate with malignant transformation induced by estrogen oxidative metabolites. The observed attenuation of transformation by SERMs correlated with these biomarkers and may also be of clinical significance in breast cancer chemoprevention.     

Alteration of the glutamate and GABA transporters in the hippocampus of the Niemann-Pick disease, type C mouse using proteomic analysis

Niemann-Pick disease type C (NPC) is a fatal autosomal recessive cholesterol disorder characterized by severe progressive neurodegeneration. To unveil the mechanism of neurodegeneration, proteomic and morphological approaches were applied to the hippocampus in NPC -/- mouse. Two-DE was utilized to resolve the hippocampal protein expression profiles of 4- and 8-week-old NPC +/+ and -/- mice. Differentially expressed protein spots were identified by MALDI-TOF MS and database searching. At 4 weeks of age, there was no significant difference in protein profiles between NPC +/+ and -/- mice. However, at the age of 8 weeks, NPC +/+ and -/- mice showed marked difference in protein expressions. Among these, glutamate receptor 2 precursor was identified. The immunohistochemical study on neurotransporters showed that glial GABA transporter (GAT-3) increased in both 4- and 8-week-old NPC -/- mouse and glutamic acid decarboxylase (GAD-6) increased in 8-week-old NPC -/- mouse. Glial glutamate transporter, excitatory amino acids carrier-1 (EAAC1), decreased in 8-week-old NPC -/- mouse. In conclusion, our data may provide insight into the understanding of the basic mechanism through perturbation of protein networks and neurotransporter systems in a single gene knockout model of NPC disease.     

T-Cell activation by t(9;22) acute lymphoblastic leukemia-derived dendritic-like cells is associated with increased tapasin expression

Dendritic-like cells from t(9;22) acute lymphoblastic leukemia (ALL) blasts can activate T cells, while the original unmodified leukemic blasts cannot. To determine whether these functional differences were associated with differences in antigen-processing machinery (APM) component expression, we have measured the level of APM component expression in unmodified blasts and ALL-derived dendritic-like cells. Seven t(9;22) ALL patient samples and one cell line were studied for APM component expression utilizing a unique panel of recently developed monoclonal antibodies and a recently developed intracellular staining technique. In addition, the HLA class I antigen cell surface expression was measured. HLA class I antigens were similarly expressed on the unmodified blasts and on the autologous dendritic-like cells. Intracellular HLA class I antigen and tapasin expression (P=0.03 for both) were upregulated in all t(9;22) ALL-derived dendritic-like cells, in comparison to the unmodified blasts. These results provide a potential mechanism for the ability of t(9;22) ALL-derived dendritic-like cells to induce T-cell activation and, suggest that tapasin upregulation may serve as a marker to standardize and monitor the quality of the dendritic-like cells used in immunotherapy. Supported partially by The Heidi Leukemia Research Fund, Buffalo, NY, and by PHS grants CA 67108 and CA 16056 awarded by the National Cancer Institute, DHHS.     

Construction of quintuple protease gene disruptant for heterologous protein production in <Emphasis Type="Italic">Aspergillus oryzae</Emphasis>

Aspergillus oryzae has received attention as a host for heterologous protein production. However, A. oryzae has 134 protease genes, which is recognized to be one of the major reasons for the proteolytic degradation of heterologously produced proteins. We previously reported that double disruption of the protease genes (tppA and pepE) improved heterologous protein (human lysozyme) production by A. oryzae. In this study, we performed successive round of five protease genes (tppA, pepE, nptB, dppIV, and dppV) disruption in A. oryzae by pyrG marker recycling with highly efficient gene-targeting background (ΔligD). The multiple disruption of protease genes were confirmed by Southern blot analysis. Furthermore, the quintuple protease gene disruptants showed the maximum production level of bovine chymosin (CHY) that was 34% higher than those of the double protease gene disruptant (ΔtppA ΔpepE). Consequently, we successfully constructed a multiple protease gene disruptant bearing enhanced levels of CHY productivity. We presented the first evidence that the quintuple disruption of the protease genes improved the production level of a heterologous protein by A. oryzae. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Improving cancer classification accuracy using gene pairs

Recent studies suggest that the deregulation of pathways, rather than individual genes, may be critical in triggering carcinogenesis. The pathway deregulation is often caused by the simultaneous deregulation of more than one gene in the pathway. This suggests that robust gene pair combinations may exploit the underlying bio-molecular reactions that are relevant to the pathway deregulation and thus they could provide better biomarkers for cancer, as compared to individual genes. In order to validate this hypothesis, in this paper, we used gene pair combinations, called doublets, as input to the cancer classification algorithms, instead of the original expression values, and we showed that the classification accuracy was consistently improved across different datasets and classification algorithms. We validated the proposed approach using nine cancer datasets and five classification algorithms including Prediction Analysis for Microarrays (PAM), C4.5 Decision Trees (DT), Naive Bayesian (NB), Support Vector Machine (SVM), and k-Nearest Neighbor (k-NN).