Analysis of fecal microbiota in patients with functional constipation undergoing treatment with synbiotics.

This study was performed to identify changes to microbial composition after treatment with synbiotics in patients with functional constipation and to define the key microbiota in the pathogenesis of functional constipation. Fecal samples from 53 patients diagnosed with chronic functional constipation according to the Rome III criteria were analyzed using 16S rRNA sequencing. After treatment with synbiotics for 1 month, fecal samples were collected from 36 patients; after a total of 3 months, fecal samples were collected from 15 patients. The outcomes were compared with the intestinal microbiota profiles of 53 healthy community volunteers. The microbiota in the constipation group differed from that in the treatment group and healthy group. After synbiotic treatment for 1 and 3 months, the abundance of Escherichia/Shigella decreased, whereas that of Prevotella_9 and Lactococcus increased. Comparison of the microbiota among the three groups showed that Prevotella_9 was the characteristic bacteria that decreased in the constipation group and increased in the treatment group. Synbiotic treatment can improve the microbiota in patients with constipation. Identification of the key bacterial genus is important to reveal the mechanism and provide a reliable theoretical basis of synbiotic treatment. It will also promote relevant research of microbiota treatment and individualized treatments.

[Research on universality of least squares support vector machine method for estimating leaf area index of winter wheat].

Leaf area index (LAI) is one of the most important parameters for evaluating winter wheat growth status and forecasting its yield. Hyperspectral remote sensing is a new technical approach that can be used to acquire the instant information of vegetation LAI at large scale. This study aims to explore the capability of least squares support vector machines (LS-SVM) method to winter wheat LAI estimation with hyperspectral data. After the compression of PHI airborne data with principal component analysis (PCA), the sample set based on the measured LAI data and hyperspectral reflectance data was established. Then the method of LS-SVM was developed respectively to estimate winter wheat LAI under four different conditions, to be specific, different plant type cultivars, different periods, different nitrogenous fertilizer and water conditions. Compared with traditional NDVI model estimation results, each experiment of LS-SVM model yielded higher determination coefficient as well as lower RMSE value, which meant that the LS-SVM method performed better than the NDVI method. In addition, NDVI model was unstable for winter wheat under the condition of different plant type cultivars, different nitrogenous fertilizer and different water, while the LS-SVM model showed good stability. Therefore, LS-SVM has high accuracy for learning and considerable universality for estimation of LAI of winter wheat under different conditions using hyperspectral data.

[Comparative study on remote sensing invertion methods for estimating winter wheat leaf area index].

The present study aims to explore capability of different methods for winter wheat leaf area index inversion by integrating remote sensing image and synchronization field experiment. There were four kinds of LAI inversion methods discussed, specifically, support vector machines (SVM), discrete wavelet transform (DWT), continuous wavelet transform (CWT) and principal component analysis (PCA). Winter wheat LAI inversion models were established with the above four methods respectively, then estimation precision for each model was analyzed. Both discrete wavelet transform method and principal component analysis method are based on feature extraction and data dimension reduction, and multivariate regression models of the two methods showed comparable accuracy (R2 of DWT and PCA model was 0. 697 1 and 0. 692 4 respectively; RMSE was 0. 605 8 and 0. 554 1 respectively). While the model based on continuous wavelet transform suffered the lowest accuracy and didn't seem to be qualified to inverse LAL It was indicated that the nonlinear regression model with support vector machines method is the most eligible model for estimating winter wheat LAI in the study area.

Effects of erector spinae plane block on postoperative pain and side-effects in adult patients underwent surgery: A systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Recently, the effects of erector spinae plane block on postoperative pain have become increasingly controversial. This meta-analysis compared the effects of ESP block versus placebo on postoperative analgesia and side effects to determine whether the new technique is a reliable alternative for pain management. METHODS: PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), and Wanfang Database were searched for clinical studies investigating the analgesic effect of ESP block versus placebo. The primary outcomes included the visual analogue scale (VAS) at rest and during movement, as well as the postoperative morphine consumption in 24 h, and the secondary outcome was the rate of postoperative nausea and vomiting (PONV). The choice of using the fixed or random-effects model depended on whether the heterogeneity tested by I2 statistic was more than 50%. Seeking sources of heterogeneity and exploring the effect of clinical details on the final result were performed by subgroup analysis. Additionally, the test for stability of the pooled result was realized by sensitivity analysis. Finally, we evaluated the quality of the evidence for the outcomes. STATA 13.0 software was selected as the main analysis software in the meta-analysis. RESULTS: Eighteen randomized controlled trials (RCTs) comprising 1041 patients were reviewed. This meta-analysis showed that ESP block could significantly reduce patients' pain scores at 1 h, 6 h, 12 h, and 24 h after surgery at rest or during movement; 24-h postoperative morphine consumption; and the incidence of PONV. CONCLUSIONS: ESP block as a novel technique exhibited superior postoperative analgesic effects, reducing the postoperative complications in spinal, thoracic, and abdominal surgeries during the early postoperative period. However, as a new nerve block technique, numerous large-sized RCTs are needed for further research.

Description of two cryptic species of the Amolopsricketti group (Anura, Ranidae) from southeastern China.

Two cryptic species, which were previously reported as Amolopsricketti, are revealed on the basis of significant morphological and genetic divergences. Amolopssinensis sp. n. from central Guangdong, northeastern Guangxi and southwestern Hunan can be distinguished by the longitudinal glandular folds on the skin of the shoulders and other character combinations. Amolopsyatseni sp. n. from the coastal hills of west Guangdong can be distinguished by the dense tiny round translucent, or white, spines on the dorsal skin of the body, dorsal and dorsolateral skin of the limbs, and other character combinations. The phylogenetic interrelationships of the A.ricketti group have been inferred as (A.wuyiensis + A.ricketti) + (A.yunkaiensis + (A.albispinus + (A.sinensis sp. n. + A.yatseni sp. n.))). This work indicates that the current records of A.ricketti might be a species complex composed of multiple species, and further work is needed to figure out this puzzle.

Analysis of influencing factors on soil Zn content using generalized additive model.

Soil zinc (Zn) plays a crucial role in plant growth, but excessive accumulation in the environment may lead to air, water and soil pollution. It is affected by various chemical, environmental and spatial factors. Therefore, it is important to identify the factors influencing Zn content in the landscape. The main motivation for this study is to determine the suitability of a generalized additive model (GAM) to describe change in soil Zn content due to influencing factors. A total of 1497 soil nutrient samples were collected in Fangshan District, Beijing, China. Organic matter (OM), available phosphorus (AP), available potassium (AK), alkali-hydrolyzed nitrogen (AHN) and slowly available potassium (SAK) are considered. The relationship between Zn, nutrients and geographic location (latitude & longitude) is investigated using the GAM. More precisely, the Akaike information criterion (AIC) is used to select influencing factors on Zn content and cross-validated to avoid overfitting of the multivariate model. The results show that Zn content reaches its maximum at latitude 39.8°N and longitude 115.9°E. Zinc content increases as AP increases to 150 mg/kg. When OM content is greater than 90 g/kg, Zinc content decreases with an increase in OM content. Factors that affected Zn content, in descending order of significance derived from deviance explained and adjustment coefficient of determination (Adj.R2) were AP, latitude, AHN, AK and OM. Moreover, the interactions between latitude and longitude, AHN and AP, OM and AK have significant impact on Zn.

[Preliminary study on glucose regulated protein 78 kD and heat shock protein 20 differential expression between left-sided colon carcinoma and right-sided colon carcinoma].

OBJECTIVE: To analyze the differential protein expression of left-sided colon cancer and right-sided colon cancer. METHODS: Tissue samples of left-sided colon cancer (n=7) and right-sided colon cancer (n=7) were collected. Tissue protein was abstracted and two-dimensional gel electrophoresis (2-DE) was used to examine the gel images. Peptide mass fingerprintings (PMF) was acquired by matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and the proteins were identified by data searching with bioinformatics. Immunohistochemical SP method was used for the detection of glucose regulated protein 78 kD (GRP78) and heat shock protein 20 (HSP20) in left-sided colon cancer (n=50) and right-sided colon cancer (n=50) tissues. RESULTS: Sixteen differentiating protein spots were identified. Compared with right-sided colon cancer, 10 proteins including GRP78 up-regulated and 6 proteins including HSP20 down-regulated in left-sided colon cancer. Immunohistochemical detection showed that in left and right sided colon cancer, the positive expression rate of GRP78 was 78% (39/50) and 56% (28/50) and the positive expression rate of HSP20 was 34% (17/50) and 72% (36/50), respectively, and the differences were statistically significant (both P<0.05). The positive rate of GRP78 was associated with tumor differentiation, infiltration layer, TNM staging, lymph node metastasis, and liver metastasis, while the positive rate of HSP20 was associated with tumor gross morphology, TNM staging, and lymph node metastasis (P<0.05). CONCLUSIONS: There are differentially expressed proteins between left-sided colon cancer and right-sided colon cancer, especially for GRP78 and HSP20, which may be the cause leading to the biological differences between left-sided and right-sided colon cancer.

[Significance of aquaporin-1 and aquaporin-3 expression in colorectal carcinoma].

OBJECTIVE: To investigate the significance of aquaporin-1(AQP-1) and aquaporin-3(AQP-3) in the development of colorectal carcinoma. METHODS: The expression of AQP-1 and AQP-3 was investigated using immunohistochemical staining with Streptavidin Peroxidase in tissues from colorectal adenoma (CRA, n=25), colorectal cancer (CRC, n=50), and adjacent mucosa (CRT, n=50). RESULTS: The positive rate of AQP-1 was 64%(32/50) in CRC, significantly higher than that in CRT (38%, 19/50) and CRA(32%, 8/25)(P<0.05). The expression of AQP-1 was associated with depth of invasion and lymph node metastasis in CRC patients(P<0.05). The positive rate of AQP-3 was 56% in CRT, 44% in CRA, and 52% in CRC. There were no significant differences (P>0.05). The expression of AQP-3 was associated with age, tumor diameter, and depth of invasion (P<0.05). No significant correlation between the expression of AQP-1 and AQP-3 in CRC was shown by Spearman correlation analysis(P>0.05). CONCLUSIONS: AQP-1 expression is increased in CRC while the expression of AQP-3 is not. There is no correlation between the expression of AQP-1 and AQP-3 in CRC.