[Effects of microbial agents on bacterial community composition during swine manure composting]. / å¾®ç”Ÿç‰©èŒå‰‚å¯¹çŒªç²ªå †è‚¥ä¸­ç»†èŒç¾¤è½ç»“æž„çš„å½±å“.

The process of swine manure and wheat straw aerobic composting was examined, with exogenous microbial agents being added in treatment group. The physicochemical properties were measured by conventional methods, and bacterial community characteristics were investigated by high throughput sequencing analysis. Exogenous microbial agents increased high-temperature duration, reduced pH value at the end of fermentation stage, augmented total nitrogen content, reduced C/N ratio. Results from principal component analysis showed that microbial agents affected the stability of bacterial community during composting. At the phylum level, the relative abundance of Firmicutes, Proteobacteria, and Chloroflexi was higher in the treatment group. At the class level, the relative abundance of Clostridia, Alphaproteobacteria, and Gammaproteobacteria in the treatment group were higher at the mesophilic and thermophilic phases. At the family level, Peptostreptococcaceae, Clostridiaceae_1, and Halanaerobiaceae of the Clostridia and Micromonosporaceae in the treatment group were higher at the mesophilic and thermophilic phases. Halocella was significantly positively correlated with exogenous microbial agents, while Ammoniibacillus was significantly negatively correlated with it. It suggested that microbial agents significantly changed the physicochemical properties and bacterial community structure during swine composting.

Loss of Sfrp2 contributes to the neurological disorders related with morphine withdrawal via Wnt/ß-catenin signaling.

Morphine administration is a medical problem characterized by compulsive opioid use that causes terrible negative consequences. The exact mechanisms of morphine-induced dependence and morphine withdrawal symptoms remain unclear. Recent studies have revealed that the upregulation of Wnt/ß-catenin signaling plays important roles in morphine exposure and morphine withdrawal. Secreted frizzled-related protein 2 (Sfrp2) can prevent the activation of Wnt/ß-catenin signaling by competing with the Frizzled receptor for Wnt ligands. We conducted this study aimed to evaluate the effect of iatrogenic trauma induced by stereotactic surgery and the protective effect of stereotaxic Sfrp2 injection on morphine withdrawal symptoms in Male Sprague Dawley (SD) rats. Many techniques including western blot analysis and immunoprecipitation were used. Anxiety-related behaviors, morphine withdrawal syndrome, and dendritic spines were also examined in male SD rats after morphine treatment and stereotaxic injection of Sfrp2. Western blot results suggested that Wnt signaling was activated in the nucleus accumbens of SD rats suffering from morphine withdrawal and that Sfrp2 attenuated the overexpression of Wnt signaling. Similarly, the withdrawal-like symptoms of morphine dependent rats were abrogated by intracerebral Sfrp2 injection. The iatrogenic trauma induced by stereotactic surgery showed no influence on the Wnt signaling and withdrawal-like symptoms. Moreover, the results of Golgi-cox staining and DiI staining indicated that the damage on proximal spine density caused by morphine treatment was restored by intracerebral Sfrp2 injection. Together, the data presented here indicated that Sfrp2 abrogated the neurological disorders and loss of proximal spine related with morphine withdrawal via Wnt/ß-catenin signaling.

A novel large deletion mutation of FERMT1 gene in a Chinese patient with Kindler syndrome.

Kindler syndrome (KS; OMIM 173650) is a rare autosomal recessive skin disorder, which results in symptoms including blistering, epidermal atrophy, increased risk of cancer, and poor wound healing. The majority of mutations of the disease-determining gene (FERMT1 gene) are single nucleotide substitutions, including missense mutations, nonsense mutations, etc. Large deletion mutations are seldom reported. To determine the mutation in the FERMT1 gene associated with a 7-year-old Chinese patient who presented clinical manifestation of KS, we performed direct sequencing of all the exons of FERMT1 gene. For the exons 2-6 without amplicons, we analyzed the copy numbers using quantitative real-time polymerase chain reaction (qRT-PCR) with specific primers. The deletion breakpoints were sublocalized and the range of deletion was confirmed by PCR and direct sequencing. In this study, we identified a new 17-kb deletion mutation spanning the introns 1-6 of FERMT1 gene in a Chinese patient with severe KS phenotypes. Her parents were carriers of the same mutation. Our study reported a newly identified large deletion mutation of FERMT1 gene involved in KS, which further enriched the mutation spectrum of the FERMT1 gene.

[Calibration transfer between two FTNIR spectrophotometers using SVR].

In the present research, a set of maize powder samples was used to study the calibration transfer between two fourier transform near-infrared (FTNIR) spectrophotometers, and a method of moving window support vector regression machines (SVR) was used to correct the differences between the two instruments. Bruker Vector 22/N was referred to as "master" on which the maize protein calibration model was built. Bruker MPA was referred to as "slave" instrument. A transformation matrix was constructed based on the spectra of a sample set (for calibration transfer) measured on both instruments. After transfer, NIR spectra acquired on "slave" will appear as if they were measured on master instrument. The calibration model available for the master can then be used to predict the transformed spectra measured on the slave. The transfer parameters were computed as follows. For wavelength i, the absorbance vector obtained on the master instrument was regressed against the corresponding absorbance matrix of a spectral window obtained on the slave instrument. Method of SVR was used for regression Moving the wavelength i and corresponding window, the transfer parameter for each wavelength can be obtained. For the two FTNIR spectrophotometers, a window size of 31 wavelengths and a subset of 15 transfer samples were chosen to establish the SVR regression model between "master" and "slave". Applying the calibration model to the prediction samples after being corrected by the transfer parameters, a good transfer performance can be achieved. The correlation coefficient (r) is 0.9434, while the relative standard deviation (RSD) is 4.23%. These results suggest that the SVR method can be used to successfully transfer the calibration model for protein of maize developed on a FTNIR spectrophotometer to another.