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Background: To investigate the effect of creatine and coenzyme Q10 (CoQ10) combination therapy on mild cognitive impairment (MCI) in Parkinson's disease (PD; PD-MCI) and its influences on plasma phospholipid (PL) levels in PD-MCI. Methods: The demographic data of 75 PD-MCI patients who enrolled in this collaborative PD study were collected. These patients were evaluated using the Unified Parkinson's Disease Rating Scale (UPDRS) III and the Montreal Cognitive Assessment (MoCA). These 75 PD-MCI patients were randomly treated with creatine monohydrate 5 g b.i.d. and CoQ10 100 mg t.i.d. orally or placebo. MoCA evaluation and PL level measurements were performed after 12 and 18 months of treatment. Results: After 12 and 18 months of treatment, the differences in the MoCA scores of the combination therapy and control groups were statistically significant (p < 0.05 at 12 months and p < 0.01 at 18 months), and the plasma PL levels of the combination therapy group were significantly lower than those of the control group (p < 0.01 at 12 months and p < 0.001 at 18 months). Conclusions: Combination therapy with creatine and CoQ10 could delay the decline of cognitive function in PD-MCI patients and could lower their plasma PL levels; therefore, this combination therapy may have a neuroprotective function.

Detrended fluctuation analysis (DFA) is a method widely used

Molecular mechanisms underlying the pathogenesis of meningioma are not fully elucidated. In this study, we established differential gene expression profiles between meningiomas and brain arachnoidal tissue by using Affymetrix GeneChip Human U133 Plus 2.0 Array. KEGG pathway analysis demonstrated that PI3K/Akt and TGFβ signaling pathways were up-regulated in fibroblastic meningioma, and focal adhesion and ECM-receptor interaction pathways were activated in anaplastic meningioma. EGFL6 was one of the most up-regulated genes in fibroblastic meningioma by microarray analysis. Quantitative real-time PCR demonstrated that benign meningiomas had significantly higher levels of EGFL6 mRNA than brain arachnoidal tissue and atypical and anaplastic meningiomas (P<0.001). EGFL6 gene was also highly expressed in ovarian cancer, but expressed lowly in other investigated tumors. ELISA analysis showed that patients with benign meningiomas and ovarian cancers had the highest serum levels of EGFL6 (mean concentration: 672 pg/ml for benign meningiomas, and 616 pg/ml for ovarian cancers). Healthy people and patients with other tumors, however, had low levels of serum EGFL6. In conclusion, we proposed that activation of PI3K/Akt and integrin-mediated signaling pathways was involved in the pathogenesis of benign and anaplastic meningiomas, respectively. We also presented evidence that EGFL6 was overexpressed in benign meningioma tissues and serum.

In this work, we study the fractal and multifractal properties of a family of fractal networks introduced by Gallos et al. ( Proc. Natl. Acad. Sci. U.S. A., 2007, 104: 7746). In this fractal network model, there is a parameter e which is between 0 and 1, and allows for tuning the level of fractality in the network. Here we examine the multifractal behavior of these networks, dependence relationship of fractal dimension and the multifractal parameters on the parameter e. First, we find that the empirical fractal dimensions of these networks obtained by our program coincide with the theoretical formula given by Song et al. ( Nat. Phys, 2006, 2: 275). Then from the shape of the τ (q) and D(q) curves, we find the existence of multifractality in these networks.Last, we find that there exists a linear relationship between the average information dimension < D(1) > and the parameter e.

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Abstract:Employing long-range correlation, complexity features and clustering, this study investigated the influence of dam and lakeriver systems on the Yangtze River flow. The impact of the Gezhouba Dam and the lake systems on streamflow was evaluated by analysing daily streamflow records at the Cuntan, the Yichang and the Datong station. Results indicated no evident influence of the Gezhouba Dam on streamflow changes. Distinct differences in scaling behaviour, long-range correlation and clustering of streamflow at the Datong station when compared with those at the Cuntan and Yichang stations undoubtedly showed the influence of water storage and the buffering effect of the lake systems between the Datong station and other two hydrological stations on streamflow in the lower Yangtze River basin. Decreased regularity, enhanced long-range correlation and increased clustering of streamflow in the lower Yangtze River basin due to the effect of water storage of the lake systems were corroborated.

The multifractal properties of daily rainfall time series at the stations in Pearl River basin of China over periods of up to 45 years are examined using the universal multifractal approach based on the multiplicative cascade model and the multifractal detrended fluctuation analysis (MF-DFA). The results from these two kinds of multifractal analyses show that the daily rainfall time series in this basin have multifractal behavior in two different time scale ranges. It is found that the empirical multifractal moment function K(q) of the daily rainfall time series can be fitted very well by the universal mulitifractal model (UMM). The estimated values of the conservation parameter H from UMM for these daily rainfall data are close to zero indicating that they correspond to conserved fields. After removing the seasonal trend in the rainfall data, the estimated values of the exponent h(2) from MF-DFA indicate that the daily rainfall time series in Pearl River basin exhibit no long-term correlations. It is also found that K(2) and elevation series are negatively correlated. It shows a relationship between topography and rainfall variability.