The anti-tumor histone deacetylase inhibitor SAHA and the natural flavonoid curcumin exhibit synergistic neuroprotection against amyloid-beta toxicity.

With the trend of an increasing aged population worldwide, Alzheimer's disease (AD), an age-related neurodegenerative disorder, as one of the major causes of dementia in elderly people is of growing concern. Despite the many hard efforts attempted during the past several decades in trying to elucidate the pathological mechanisms underlying AD and putting forward potential therapeutic strategies, there is still a lack of effective treatments for AD. The efficacy of many potential therapeutic drugs for AD is of main concern in clinical practice. For example, large bodies of evidence show that the anti-tumor histone deacetylase (HDAC) inhibitor, suberoylanilidehydroxamic acid (SAHA), may be of benefit for the treatment of AD; however, its extensive inhibition of HDACs makes it a poor therapeutic. Moreover, the natural flavonoid, curcumin, may also have a potential therapeutic benefit against AD; however, it is plagued by low bioavailability. Therefore, the integrative effects of SAHA and curcumin were investigated as a protection against amyloid-beta neurotoxicity in vitro. We hypothesized that at low doses their synergistic effect would improve therapeutic selectivity, based on experiments that showed that at low concentrations SAHA and curcumin could provide comprehensive protection against Aß25-35-induced neuronal damage in PC12 cells, strongly implying potent synergism. Furthermore, network analysis suggested that the possible mechanism underlying their synergistic action might be derived from restoration of the damaged functional link between Akt and the CBP/p300 pathway, which plays a crucial role in the pathological development of AD. Thus, our findings provided a feasible avenue for the application of a synergistic drug combination, SAHA and curcumin, in the treatment of AD.

BCL9 and C9orf5 are associated with negative symptoms in schizophrenia: meta-analysis of two genome-wide association studies.

Schizophrenia is a chronic and debilitating psychiatric condition affecting slightly more than 1% of the population worldwide and it is a multifactorial disorder with a high degree of heritability (80%) based on family and twin studies. Increasing lines of evidence suggest intermediate phenotypes/endophenotypes are more associated with causes of the disease and are less genetically complex than the broader disease spectrum. Negative symptoms in schizophrenia are attractive intermediate phenotypes based on their clinical and treatment response features. Therefore, our objective was to identify genetic variants underlying the negative symptoms of schizophrenia by analyzing two genome-wide association (GWA) data sets consisting of a total of 1,774 European-American patients and 2,726 controls. Logistic regression analysis of negative symptoms as a binary trait (adjusted for age and sex) was performed using PLINK. For meta-analysis of two datasets, the fixed-effect model in PLINK was applied. Through meta-analysis we identified 25 single nucleotide polymorphisms (SNPs) associated with negative symptoms with p<5×10(-5). Especially we detected five SNPs in the first two genes/loci strongly associated with negative symptoms of schizophrenia (P(meta-analysis)<6.22×10(-6)), which included three SNPs in the BCL9 gene: rs583583 showed the strongest association at a P(meta-analysis) of 6.00×10(-7) and two SNPs in the C9orf5 (the top SNP is rs643410 with a p = 1.29 ×10(-6)). Through meta-analysis, we identified several additional negative symptoms associated genes (ST3GAL1, RNF144, CTNNA3 and ZNF385D). This is the first report of the common variants influencing negative symptoms of schizophrenia. These results provide direct evidence of using of negative symptoms as an intermediate phenotype to dissect the complex genetics of schizophrenia. However, additional studies are warranted to examine the underlying mechanisms of these disease-associated SNPs in these genes.

Comparison of microarray and quantitative real-time PCR methods for measuring MicroRNA levels in MSC cultures.

The capacity for self-renewal and the multilineage potential of mesenchymal stromal cells (MSC) offer a therapeutic promise for regenerative medicine. MicroRNAs (miRNAs) are small noncoding RNAs that play a key regulatory role during differentiation both at the level of posttranslational modulation and epigenetic control. Studies on MSCs have just begun to identify miRNA profiles in MSC and differentiated MSC. While several methods are available for miRNA exploration, microarrays and quantitative real-time PCR (qPCR) are the most common. Since there are several microarray and qPCR platforms available for miRNA detection, it is valuable to explore how these methods compare. We used the NCode Multi-Species miRNA microarray (Invitrogen) and the TaqMan Human microRNA array (Applied Biosystems) to compare microRNA expression in undifferentiated MSCs and MSCs differentiated into early osteoblasts. We show that while there is a somewhat low correlation between these two methods, there is a subset of miRNA measurements that did correlate.

Ethanol regulates angiogenic cytokines during neural development: evidence from an in vitro model of mitogen-withdrawal-induced cerebral cortical neuroepithelial differentiation.

BACKGROUND: Heavy alcohol consumption during pregnancy can cause significant mental retardation and brain damage. We recently showed that ethanol depletes reserve cerebral cortical stem cell capacity. Moreover, proliferating neuroepithelial cells exposed to ethanol were resistant to subsequent retinoic acid-induced differentiation. Emerging evidence suggests that cytokines play a crucial growth-promoting role in the developing neural tube. METHODS: We cultured murine cortical neurosphere cultures in control or ethanol-supplemented mitogenic medium, to mimic alcohol exposure during the period of neuroepithelial proliferation. Cultures were then treated with a step-wise mitogen-withdrawal, integrin-activation model to mimic subsequent phases of neuronal migration and early differentiation. We examined the impact of alcohol exposure during neurogenesis on the secretion of inflammatory and growth-promoting cytokines. RESULTS: Cortical neurosphere cultures exhibit increasingly complex differentiation phenotypes in response to step-wise mitogen-withdrawal and laminin exposure. Some inflammation-modulating cytokines were secreted independent of differentiation state. However, chemotactic cytokines were specifically secreted at high levels, as a function of differentiation stage. monocyte chemotactic protein-1, vascular endothelial growth factor-A, and interleukin (IL)-10 were coordinately decreased during differentiation compared with neuroepithelial proliferation, while granulocyte macrophage-colony stimulating factor (GM-CSF) was induced during differentiation, compared with the neuroepithelial proliferation period. Ethanol exposure during the period of neuroepithelial proliferation prevented the early differentiation-induced increase in GM-CSF while inducing differentiation-associated increase in IL-12 secretion. CONCLUSION: Embryonic cerebral cortical neuroepithelial-derived precursors secrete high levels of several angiogenic and neural-growth-promoting cytokines as they differentiate into neurons. Our data collectively suggest that ethanol exposure during the period of neuroepithelial proliferation significantly disrupts cytokine signals that are required for the support of emerging neurovascular networks, and the maintenance of neural stem cell beds.