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Objective To investigate the epidemic factors of schistosomiasis in wetlands in Sichuan Province, so as to provide scientific evidence for the prevention and control of schistosomiasis in wetlands. Methods The artificial and natural wetlands were selected from Sichuan Province, and the relevant data regarding wetlands were collected. Routine snail survey, investigation on human morbidity due to schistosomiasis, snail diffusion experiments, questionnaire survey, determination of water infectivity and retrospective survey were conducted. Results In Sichuan Province, the mean densities of living snails were 0.003 snails/0.1 m2 and 2.033 snails/0.1 m2 in the upper and lower reaches of the Meiwan Reservoir wetlands, 0.08 snails/0.1 m2 in the Jinyan Lake of Guanghan City, 0.21 snails/0.1 m2 in Muhe River of Guanghan City, and 0.02 snails/0.1 m2 prior to the construction of Qiong-hai wetland park in Xichang City in 2015. Artificial simulation experiments showed that the largest distance of snail diffusion in water was 2 000 m. There were 8.80% (41/466) of subjects that lived neighboring wetlands, worked in wetlands and visited wet-lands having infested water contact behaviors. A total of 690 sentinel mice were assigned, and no Schistosoma japonicum infection was detected in the 677 mice dissected. Retrospective survey showed that the construction of the Meiwan Reservoir caused the spread of schistosomiasis in Dailing County, and snails were found in the ditches entering the Jinyan Lake and in Jinyan Lake areas 5 years following the construction of the Jinyan Lake in Guanghan City, with S. japonicum -infected snails detected in the ditches entering the Jinyan Lake. Conclusions O. hupensis snails are found in some wetlands in Sichuan Province. Protection of wetlands and snail control with environmental improvements are recommended for the prevention of snail importation in natural wetlands, while in artificial wetlands, thorough snail control is recommended during the construction of the wetlands because of the likelihood of snail importation via water systems. In addition, both natural and artificial wetlands require long-term systematic surveillance of schistosomiasis.
ABSTRACT
Objective To investigate the epidemic factors of schistosomiasis in wetlands in Sichuan Province, so as to provide scientific evidence for the prevention and control of schistosomiasis in wetlands. Methods The artificial and natural wetlands were selected from Sichuan Province, and the relevant data regarding wetlands were collected. Routine snail survey, investigation on human morbidity due to schistosomiasis, snail diffusion experiments, questionnaire survey, determination of water infectivity and retrospective survey were conducted. Results In Sichuan Province, the mean densities of living snails were 0.003 snails/0.1 m2 and 2.033 snails/0.1 m2 in the upper and lower reaches of the Meiwan Reservoir wetlands, 0.08 snails/0.1 m2 in the Jinyan Lake of Guanghan City, 0.21 snails/0.1 m2 in Muhe River of Guanghan City, and 0.02 snails/0.1 m2 prior to the construction of Qiong-hai wetland park in Xichang City in 2015. Artificial simulation experiments showed that the largest distance of snail diffusion in water was 2 000 m. There were 8.80% (41/466) of subjects that lived neighboring wetlands, worked in wetlands and visited wet-lands having infested water contact behaviors. A total of 690 sentinel mice were assigned, and no Schistosoma japonicum infection was detected in the 677 mice dissected. Retrospective survey showed that the construction of the Meiwan Reservoir caused the spread of schistosomiasis in Dailing County, and snails were found in the ditches entering the Jinyan Lake and in Jinyan Lake areas 5 years following the construction of the Jinyan Lake in Guanghan City, with S. japonicum -infected snails detected in the ditches entering the Jinyan Lake. Conclusions O. hupensis snails are found in some wetlands in Sichuan Province. Protection of wetlands and snail control with environmental improvements are recommended for the prevention of snail importation in natural wetlands, while in artificial wetlands, thorough snail control is recommended during the construction of the wetlands because of the likelihood of snail importation via water systems. In addition, both natural and artificial wetlands require long-term systematic surveillance of schistosomiasis.
ABSTRACT
The application of extralevator abdomino-perineal excision (ELAPE) and total mesorectal excision has improved the prognosis of rectal cancer. However, compared with anterior resection for rectal cancer, the circumferential resection margin (CRM) positive rate and intraoperative perforation (IOP) rate are still high. The ELAPE can reduce the CRM positive rate and IOP rate, therefore reduce postoperative local recurrence rate and increase the survival rate of patients. The disadvantage of its trauma, longer operative time, and higher perineum complication in ELAPE is controversial. This review mainly discusses the key points of operative procedure, advantages and disadvantages, research status and development prospects of ELAPE.
Subject(s)
Humans , Digestive System Surgical Procedures , Methods , Mesentery , General Surgery , Perineum , General Surgery , Prognosis , Rectal Neoplasms , General Surgery , Rectum , General SurgeryABSTRACT
<p><b>OBJECTIVE</b>To screen the differentially expressing genes between silicotic lung tissue and normal lung tissue, to identify the differentially expressing genes of matrix metalloproteinase-12 (MMP-12) and Cathepsin E and to explore the roles of those genes in silicosis development.</p><p><b>METHODS</b>Thirty male SD rats were divided randomly into two groups: control group (6 rats) and exposure group (24 rats) which was exposed to SiO2 by intra-tracheal perfusion. On the 30 th, 60 th and 90 th days after exposure, 8 rats in model group and 2 rats in control group were executed and the lung tissues were obtained. The morphologic changes of lung tissues were observed with HE staining and VG staining under a light microscope. The gene microarrays were used to identify differentially expressing genes of lung tissues in rats exposed to SiO2 for 60 days. Two significantly up-regulated genes, MMP-12 and Cathepsin E, were validated using RT-PCR, immunohistochemistry and Western Blot assay.</p><p><b>RESULTS</b>A total of 338 differentially expressing genes were identified from the 26 962 genes between silicotic rats and normal rats, including 267 up-regulated genes and 71 down-regulated genes. The results of RT-PCR showed that in the lung tissues of exposure group on the 30 th, 60 th and 90 th days, the mRNA expression levels of MMP-12 were 4.306, 5.338, 6.713 times higher than those in the control group, the mRNA expression levels of Cathepsin E were 1.434, 2.974, 3.889 times higher than those in the control group, respectively. The results of immunohistochemical showed that in the lung tissues of exposure group on the 30th, 60th and 90th days, the mRNA expression levels of MMP-12 were 1.435, 1.746, 2.069 times higher than those in the control group, the mRNA expression levels of Cathepsin E were 1.372, 1.663, 2.103 times higher than those in the control group, respectively. The results of immunohistochemical showed that in the lung tissues of exposure group on the 30th, 60th and 90th days, the expression levels of MMP-12 protein were 1.214, 1.531, 1.959 times higher than those in the control group, the expression levels of Cathepsin E protein were 1.262, 1.828, 1.907 times higher than those in the control group, respectively. Compared with the control group, the mRNA and protein expression levels of MMP-12 and Cathepsin E in lung tissues of exposure group were significantly up-regulated (P < 0.05).</p><p><b>CONCLUSION</b>The differentially expressing genes in rat lung tissues screened by gene chip were validated, which suggested that a complex gene regulatory network may be contributed to occurrence of silicosis. MMP-12 and Cathepsin E genes may be involved in the development of silicotic pulmonary fibrosis by degrading the basement membrane of alveolar wall and participating in the immune response.</p>
Subject(s)
Animals , Male , Rats , Cathepsin E , Genetics , Metabolism , Gene Expression , Lung , Metabolism , Matrix Metalloproteinase 12 , Genetics , Metabolism , Rats, Sprague-Dawley , Silicosis , Genetics , MetabolismABSTRACT
The use of visible-near infrared (NIR) spectroscopy was explored as a tool to discriminate two new tomato plant varieties in China (Zheza205 and Zheza207). In this study, 82 top-canopy leaves of Zheza205 and 86 top-canopy leaves of Zheza207 were measured in visible-NIR reflectance mode. Discriminant models were developed using principal component analysis (PCA), discriminant analysis (DA), and discriminant partial least squares (DPLS) regression methods. After outliers detection, the samples were randomly split into two sets, one used as a calibration set (n=82) and the remaining samples as a validation set (n=82). When predicting the variety of the samples in validation set, the classification correctness of the DPLS model after optimizing spectral pretreatment was up to 93%. The DPLS model with raw spectra after multiplicative scatter correction and Savitzky-Golay filter smoothing pretreatments had the best satisfactory calibration and prediction abilities (correlation coefficient of calibration (R(c))=0.920, root mean square errors of calibration=0.196, and root mean square errors of prediction=0.216). The results show that visible-NIR spectroscopy might be a suitable alternative tool to discriminate tomato plant varieties on-site.
Subject(s)
Discriminant Analysis , Least-Squares Analysis , Solanum lycopersicum , Classification , Principal Component Analysis , Spectroscopy, Near-Infrared , MethodsABSTRACT
The use of near infrared (NIR) spectroscopy was proved to be a useful tool for quality analysis of fruits. A bifurcated fiber type NIR spectrometer, with a detection range of 800~2500 nm by InGaAs detector, was used to evaluate the firmness of peaches. Anisotropy of NIR spectra and firmness of peaches in relation to detecting positions of different parts (including three latitudes and three longitudes) were investigated. Both spectra absorbency and firmness of peach were influenced by longitudes (i, ii, iii) and latitudes (A, B, C). For modeling, two thirds of the samples were used as the calibration set and the remaining one third were used as the validation or prediction set. Partial least square regression (PLSR) models for different longitude and latitude spectra and for the whole fruit show that collecting several NIR spectra from different longitudes and latitudes of a fruit for NIR calibration modeling can improve the modeling performance. In addition, proper spectra pretreatments like scattering correction or derivative also can enhance the modeling performance. The best results obtained in this study were from the holistic model with multiplicative scattering correction (MSC) pretreatment, with correlation coefficient of cross-validation r(cv)=0.864, root mean square error of cross-validation RMSECV=6.71 N, correlation coefficient of calibration r=0.948, root mean square error of calibration RMSEC=4.21 N and root mean square error of prediction RMSEP=5.42 N. The results of this study are useful for further research and application that when applying NIR spectroscopy for objectives with anisotropic differences, spectra and quality indices are necessarily measured from several parts of each object to improve the modeling performance.
Subject(s)
Anisotropy , Prunus , Spectroscopy, Near-Infrared , MethodsABSTRACT
Nondestructive method of measuring soluble solids content (SSC) of citrus fruits was developed using Fourier transform near infrared reflectance (FT-NIR) measurements collected through optics fiber. The models describing the relationship between SSC and the NIR spectra of citrus fruits were developed and evaluated. Different spectra correction algorithms (standard normal variate (SNV), multiplicative signal correction (MSC)) were used in this study. The relationship between laboratory SSC and FT-NIR spectra of citrus fruits was analyzed via principle component regression (PCR) and partial least squares (PLS) regression method. Models based on the different spectral ranges were compared in this research. The first derivative and second derivative were applied to all spectra to reduce the effects of sample size, light scattering, instrument noise, etc. Different baseline correction methods were applied to improve the spectral data quality. Among them the second derivative method after baseline correction produced best noise removing capability and yielded optimal calibration models. A total of 170 NIR spectra were acquired; 135 NIR spectra were used to develop the calibration model; the remaining spectra were used to validate the model. The developed PLS model describing the relationship between SSC and NIR reflectance spectra could predict SSC of 35 samples with correlation coefficient of 0.995 and RMSEP of 0.79 degrees Brix.