Neuroprotective Effects of Icariin on Brain Metabolism, Mitochondrial Functions, and Cognition in Triple-Transgenic Alzheimer's Disease Mice.

AIMS: This study investigated the neuroprotective properties of icariin (an effective component of traditional Chinese herbal medicine Epimedium) on neuronal function and brain energy metabolism maintenance in a triple-transgenic mouse model of Alzheimer's disease (3 × Tg-AD). METHODS: 3 × Tg-AD mice as well as primary neurons were subjected to icariin treatment. Morris water maze assay, magnetic resonance spectroscopy (MRS), Western blotting, ELISA, and immunohistochemistry analysis were used to evaluate the effects of icariin administration. RESULTS: Icariin significantly improved spatial learning and memory retention in 3 × Tg-AD mice, promoted neuronal cell activity as identified by the enhancement of brain metabolite N-acetylaspartate level and ATP production in AD mice, preserved the expressions of mitochondrial key enzymes COX IV, PDHE1α, and synaptic protein PSD95, reduced Aß plaque deposition in the cortex and hippocampus of AD mice, and inhibited ß-site APP cleavage enzyme 1 (BACE1) expression. Icariin treatment also decreased the levels of extracellular and intracellular Aß1-42 in 3 × Tg-AD primary neurons, modulated the distribution of Aß along the neurites, and protected against mitochondrial fragmentation in 3 × Tg-AD neurons. CONCLUSIONS: Icariin shows neuroprotective effects in 3 × Tg-AD mice and may be a promising multitarget drug in the prevention/protection against AD.

Autophagy enhances the aggressiveness of human colorectal cancer cells and their ability to adapt to apoptotic stimulus.

OBJECTIVE: To investigate LC3B-II and active caspase-3 expression in human colorectal cancer to elucidate the role of autophagy, and to explore the relationship of autophagy with apoptosis in human colorectal cancer. METHODS: LC3B expression was detected by immunohistochemistry in 53 human colorectal cancer tissues and 20 normal colon tissues. The protein levels of LC3B-II and active caspase-3 were also determined by Western blot analysis in 23 human colorectal cancer tissues and 10 normal colon tissues. RESULTS: LC3B was expressed both in cancer cells and normal epithelial cells. LC3B expression in the peripheral area of cancer tissues was correlated with several clinicopathological factors, including tumor differentiation (P=0.002), growth pattern of the tumor margin (P=0.028), pN (P=0.002), pStage (P=0.032), as well as vessel and nerve plexus invasion (P=0.002). The protein level of LC3B-II in cancer tissue was significantly higher than in normal tissue (P=0.038), but the expression of active forms of procaspase-3 in cancer tissue was lower (P=0.041). There was a statistically significant positive correlation between the expression levels of LC3B-II and the active forms of procaspase-3 (r=0.537, P=0.008). CONCLUSIONS: Autophagy has a prosurvival role in human colorectal cancer. Autophagy enhances the aggressiveness of colorectal cancer cells and their ability to adapt to apoptotic stimulus.

[Study on the effect of solar spectra on the retrieval of atmospheric CO2 concentration using high resolution absorption spectra].

Taking solar source as radiation in the near-infrared high-resolution absorption spectrum is widely used in remote sensing of atmospheric parameters. The present paper will take retrieval of the concentration of CO2 for example, and study the effect of solar spectra resolution. Retrieving concentrations of CO2 by using high resolution absorption spectra, a method which uses the program provided by AER to calculate the solar spectra at the top of atmosphere as radiation and combine with the HRATS (high resolution atmospheric transmission simulation) to simulate retrieving concentration of CO2. Numerical simulation shows that the accuracy of solar spectrum is important to retrieval, especially in the hyper-resolution spectral retrieavl, and the error of retrieval concentration has poor linear relation with the resolution of observation, but there is a tendency that the decrease in the resolution requires low resolution of solar spectrum. In order to retrieve the concentration of CO2 of atmosphere, the authors' should take full advantage of high-resolution solar spectrum at the top of atmosphere.

[Experimental investigation of atmosphere and water vapor with laser induced breakdown spectroscopy].

The present article investigated the laser induced breakdown spectra of atmosphere molecules as background spectrum for the measurement of airborne particles. The authors detailedly analyzed the spectral lines of oxygen, nitrogen and hydrogen in the laser induced breakdown spectra of atmosphere molecules corresponding to the National Institute of Standards and Technology atomic spectroscopy database line data. In addition, the authors studied the intensity of emitted spectral lines induced by laser breakdown process at different time delays and signal integration width As a result, the authors obtained the conclusion that the intensity of signal depends on variations of delay time strongly, and with a delay time more than 7 micros the interference resulting from the presence of atmosphere molecule can be reduced effectively in the application of laser induced breakdown spectroscopy. Also, the variations in signal integration width have few effects while it is longer than the instrument minimum of 1.1 ms. Besides, this paper investigated the relative intensities of spectral lines of oxygen, nitrogen and hydrogen in the condition of different contents of water vapor in atmosphere, and the authors observed that the intensities of atomic emission line of hydrogen have a linear trend varying with the moisture in atmosphere. These results can be useful for the further application of laser induced breakdown spectroscopy in detecting and monitoring of airborne particles in the air.

[Data analysis of laser desorption/ionization mass spectrum of individual particle using adaptive resonance theory based neural network].

On-line measurement of size and chemical composition of single particle using an aerosol laser time-of-flight mass spectrometer (ALTOFMS) was designed in our lab. Each particle's aerodynamic diameter is determined by measuring the delay time between two continuous-wave lasers operating at 650 nm. A Nd : YAG laser desorbs and ionizes molecules from the particle, and the time-of-flight mass spectrometer collects a mass spectrum of the generated ions. Then the composition of single particle is obtained. ALTOFMS generates large amount of data during the process period. How to process these data quickly and extract valuable information is one of the key problems for the ALTOFMS. In the present paper, an adaptive resonance theory-based neural network, ART-2a algorithm, was used to classify mixed mass spectra of aerosol particles of NaCl, CaCl2, dioctylphthalate (DOP), and 2,5-dihydroxybenzoic acid (DHB). Compared with the traditional methods, ART-2a can recognize input patterns self-organically, self-adaptively and self-steadily without considering the complexity and the number of the patterns, so it is more favorable for the analysis of the mass spectra data. Experimental results show that when vigilance parameter is 0.40, learning rate is 0.05 and iteration number is 6, ART-2a algorithm can successfully reveal these four particle categories. The weight vectors for these four particle classes were obtained, which can represent the characters of these four particle classes remarkably.

[Data analysis of laser desorption/ionization mass spectrum of atmospheric aerosol particles using fuzzy clustering algorithms].

On-line measurement of size and composition of single particle using an aerosol time-of-flight Laser mass spectrometry (ATOFLMS) had been designed in our lab. Each particle's aerodynamic diameter is determined by measuring the delay time between two continuous-wave lasers, A Nd : YAG laser desorbs and ionizes molecules from the particle, and the time-of-flight mass spectrometer collects a mass spectrum of the generated ions. Then the composition of single particle is obtained. ATOFLMS generates large amount of data during the process period. How to process these data and extract valuable information is one of the key problems for the ATOFLMS. In this paper, the fuzzy clustering used to classify large numbers of mass spectral of air indoor by an ATOFLMS. Each revised spectrum is converted to a normalized 300-point vector, each point representing one mass unit. Then the positive ion mass spectra of a single particle are described as 300-dimensional data vectors using the ion masses as dimensions and the ion signal peak areas as values. The data vectors of all particles measured are written into a classification matrix. Each spectrum's data was stored as one row in this matrix. The Fuzzy c-means algorithm is an iterative method starting the calculation with random class centers to find a substructure in the data. The procedure works in such a way that finally similar objects (particle spectra) have a minimum distance between their corresponding data vectors, on the one hand, and to the center of a cluster, on the other hand. So the aim of the iteration is to find local minima in the N-dimensional space where N is the number of evaluated peak masses. The particle data used in this study were collected over a period one day in Hefei. During the campaign, inorganic salts, mineral particles, and carbonaceous particles, with varying degrees of secondary components, were identified. The detection results of particle size exhibit that aerosol is predominanantly in the form of fine particles, and the particles whose diameter larger than 1 microm are scare. The particles whose diameter less than 1 microm are make up of 95% of the total particles, and these particles are major distributed in 0.4-0.8 microm.

[Single particle measurement of suspended soil dust using laser desorption/ionization time-of-flight mass spectrometry].

Real-time measurement of size and composition of single soil dust particles using an aerosol time-of-flight laser mas spectrometry (ATOFLMS) was designed in our lab. Each particle's aerodynamic diameter was determined by measuring the delay time between two continuous-wave lasers, a Nd:YAG laser with a 266 nm pulsed output was used to desorb and ionize aerosol particles, and ions formed in the laser desorption/ionization process were accelerated into the time-of-flight drift region where they separated by mass-to-charge ratio, then the composition of single particle was obtained. In the present paper, soil samples were collected from four different areas in China. After the pretreatment and suspension, the particle sample was then transferred to ATOFLMS through a plastic transfer line. During the campaign, a large number of size and mass spectra of single par ticles were obtained. The presence of crustal elements was observed in the mass spectra of individual particles. Iron, potassium aluminum and calcium constitute the two most commonly detected cations. Other common cations observed in the mass spectra o soil particles include magnesium, and sodium. The detection results exhibit that the coarse particles with size of 1-2 microm are dominate in the detected particles. Experimental results show the ATOFLMS have important practical value for researching and monitoring of atmospheric aerosol environment.