Resveratrol alleviates oxidative stress induced by oxidized soybean oil and improves gut function via changing gut microbiota in weaned piglets

Background Oxidized soybean oil(OSO)has been shown to impair growth and exacerbate inflammation,leading to intestinal barrier injury in animals.Recent evidence suggests important roles for resveratrol(RES)in the promoting growth performance,antioxidant capacity,anti-inflammatory,and regulate intestinal barriers in animals.Therefore,The objectives of this study are to investigate the effects of dietary RES(purity 98%)supplementation on the growth performance,antioxidant capacity,inflammatory state,and intestinal function of weaned piglets challenged with OSO.Methods A total of 28 castrated weaned male piglets with a similar body weight of 10.197 replications per treatment and±0.10 kg were randomly assigned to 4 dietary treatments for 28-d feeding trial with 1 piglet per replicate.Treatments were arranged as a 2×2 factorial with oil type[3%fresh soybean oil(FSO)vs.3%OSO]and dietary RES(0vs.300 mg/kg).Results The results showed that relative to the FSO group,OSO stress tended to decrease the average daily feed intake(ADFI),and decreased the activity levels of lipase,villus/crypt ratio(VCR),the mRNA expression of FABP1,SOD2,IL-10 and ZO-1 in the jejunum,and SOD2,GPX1,occludin and ZO-1 in the colon,the levels of acetic acid in the colonic digesta,whereas up-regulated the mRNA expression of IL-1βand TNF-αin the jejunum(P<0.05).Moreover,dietary supplementation with RES increased ether extract(EE),the activity levels of sucrase,lipase,α-amylase,villus height(VH)and VCR,the mRNA expression of FABP1,SOD2,IL-10 and occludin in the jejunum,and FABP1,PPAR-γ,GPX1,occludin and ZO-1 in the colon,and the abundance of Firmicutes,acetic and propionic acid,but decreased the levels of D-lactic acid in the plasma,the abundance of Bacteroidetes in the colonic digesta of weaned piglets compared to the non-RES group(P<0.05).Meanwhile,in the interaction effect analysis,relative to the OSO group,dietary RES supplementation in the diets supplemented with OSO increased the activity levels of trypsin,VH in the jejunum,the abundance of Actinobacteria,the levels of butyric acid of weaned piglets,but failed to influence the activity levels of trypsin and VH,Actinobacteria abundance,the levels of butyric acid when diets were supplemented with FSO(interaction,P<0.05).Relative to the OSO group,dietary RES supplementation in the diets supplemented with OSO decreased the activity levels of DAO in the plasma of weaned piglets but failed to influence the activity levels of DAO when diets were supplemented with FSO(interaction,P<0.05).Relative to the FSO group,dietary RES supplementation in the diets supplemented with FSO decreased the level of propionic acid,whereas RES supplementation failed to influence the level of propionic acid when the diet was supplemented with OSO(interaction,P<0.01).Conclusions Inclusion of OSO intensified inflammatory states and impaired the intestinal health characteristics of weaned piglets.Dietary RES supplementation improved the antioxidant capacity,anti-inflammatory activity,and intestinal morphology.Further studies showed that the protective effects of RES on gut health could be linked to the decreased abundance of Prevotella_1,Clostridium_sensu_stricto_6,and Prevotellaceae_UCG003 and increased levels of acetic and propionic acid.

A single institution experience using the LigaSure vessel sealing system in video-assisted thoracoscopic surgery for primary spontaneous pneumothorax

This study sought to report our 6-year experience with the LigaSure vessel sealing system（LVSS） in videoassisted thoracoscopic surgery（VATS） for primary spontaneous pneumothorax.A series of 180 consecutive patients with primary spontaneous pneumothorax were operated on in our institution from May 2005 to December 2010.Intraoperatively,large lesions（bullae or blebs） with a diameter more than 2 cm were resected by staplers,and the residual lesions were treated by LVSS.LVSS was also used to ablate the apical area when no lesions were found.Conventional apical pleural abrasion was done in all cases.All patients were successfully treated using VATS with minimal perioperative bleeding.The mean operating time was 76 minutes（range,43-160 minutes） for single-side procedures and 169 minutes（range,135-195 minutes） for bilateral procedures,the mean number of applied staples was 1.93 per patient（range,0-8 days）,the duration of drainage was 3.8 days（range,2-15 days）,and the duration of hospital stay was 5.8 days（range,3-16 days）.Postoperative complications included persistent air leak（〉 5 days） in 11 cases（6.1%） and residual pneumothorax in 6（3.3%）.None required reoperation.The mean duration of follow-up was 57 months（range,24-105 months）.Recurrence was seen in three cases（1.7%）,and all underwent another operation thereafter.None of the lesions in the relapse cases received ablation with LVSS in the first operation.LVSS can optimize VATS for primary spontaneous pneumothorax and reduces the use of single-use staples.The method is safe,easy to use,and cost-effective and produces satisfactory results.

Clinical significance of the negative lymph node count after the axillary dissection of breast cancer patients

Objective： The purpose of this study was to evaluate the impact of the negative lymph node （LN） count on the survival of the breast cancer patients in early stage after the axillary dissection. Methods： The breast cancer patients with T1-2N0-1M0 stage between January 2001 and December 2005 in Jiangsu Cancer Hospital, who underwent the axillary LNs dissection, were enrolled in this study. We analyzed the data of these patients including information of follow-up and postop- erative pathological results. All patients were divided into two groups according to the axillary LN status and each group was divided into four subgroups according to the negative LN count. Cox regression analysis was performed to screen the patho- logical factor including the negative LN count on the survival and to compare the different negative LN count on the survival. Results： COX proportional hazard regression model showed that the survival of the breast cancer was significantly associ- ated with the negative LN count. In T1 2N0 group, when the negative LN count was 3 or less, 4 to 5, 6 to 9 and 10 or more, the median survival time was （82.6 ±4.1） months, （101.5 ± 1.3） months, （104.7 ±1.0） months, and （110.5 ±0.9） months respectively （P 〈 0.05）. In T1-2N0 group, when the negative LN count was 6 or less, 7 to 8, 9 to 10 and 11 or more, the median survival time was （95.4 ± 1.9） months, （101.8 ± 1.1） months, （104.9 ± 1.0） months, and （106.5 ± 0.9） months respectively （P 〈 0.05）. Conclusion： The negative LN count can reflect the adequacy of the axillary dissection. Increasing negative LN count is independently associated with improved survival in pT1-2N0M0 or pT1-2N0M0 staging breast cancer patients. The negative LN count should be considered for incorporation into staging for breast cancer with the axillary LN dissection.

Gradient Temperature Raman Spectroscopy of Fatty Acids with One to Six Double Bonds Identifies Specific Carbons and Provides Systematic Three Dimensional Structures

Specialized pro-resolving mediators provide promising targets for new drugs and natural products. Much work has been accomplished on the structure/ function of the lipoxygenase and cyclooxygenase enzymes but not on the substrates. A better visualization of three-dimensional lipid structures will allow increased refinement of the interactions that produce the pro-resolving mediators, and lead to improvements in synthetic pathways. We present systematic analysis of oleic (18:1n-9), linoleic (18:2n-6), alpha-linolenic (18:3n-3), arachidonic (20:4n-6), docosapentaenoic (22:5n-3), and docosahexaenoic (22:6n-3) acids. Continuous gradient temperature Raman spectroscopy (GTRS) applies the temperature gradients utilized in differential scanning calorimetry to Raman spectroscopy. GTRS can identify and differentiate specific carbon chain sites, finally allowing Raman analysis to explain why the long-chain polyunsaturated fatty acids (LC-PUFA) exhibit such extreme functional differences despite minimal changes in chemical structure. Detailed vibrational analysis of the important frequency ranges 1450 - 1200 cm-1 (includes CH2 bending and twisting) and 1750 - 1425 cm-1 (includes C=C stretching and C-C stretching plus H-C in-plane rocking) shows for the first time that each molecule has its own characteristic set of modes with only some redundancy/commonality. The number and frequency of modes correlates with three-dimensional molecular structure, not the degree of unsaturation. The high degree of specificity of lipoxygenase and cyclooxygenase enzymes should be reconsidered in light of the fact that individual sites on the polyunsaturated fatty acid chain are nonequivalent, and each LC-PUFA molecule has an individual, specific three dimensional structure incorporating torsion.

使用高光谱反射成像评估柑橘溃疡病变大小

在运往欧盟等选择性国际市场前,需要有效的措施来去除柑橘中的溃疡果。本研究的目的是使用高光谱图像来确定溃疡病变的检测尺寸限。先前开发了基于近红外-可见光波的多光谱算法来将溃疡柑橘果实从其他果实中(正常的、腻斑病、虫害、黑病变、痂和风疤)分割出来,然而,这项工作没有考虑到损伤的尺寸。本研究选用带有一个基于阈值的简单分类器的、使最大总体分类精度达到95.7%双波段比值(834 nm和729 nm反射波长的比率)的方法来估计病变大小。检测到的最小的溃疡病变尺寸的当量直径是1.66 mm。观察了阈值的变化和侵蚀环的数量对最小可检测损伤评估的影响(多次运用形态学腐蚀图像),发现最小阈值获得了更好的溃疡分类精度,但总体分类精度较低。同时,阈值越高,趋势相反。1.275阈值在溃疡分类精度、总体分类精度和最小损伤尺寸检测三个方面获得了最优权重。增加侵蚀环的数量减少了小溃疡病变的检出率,因此可以得出结论,一个侵蚀环给能够获得最好的大小估计结果。试验过程中应用的侵蚀内核尺寸为3 mm×3 mm。

Classification of grapefruit peel diseases using color texture feature analysis

Technologies that can efficiently identify citrus diseases would assure fruit quality and safety and minimize losses for citrus industry.This research was aimed to investigate the potential of using color texture features for detecting citrus peel diseases.A color imaging system was developed to acquire RGB images from grapefruits with normal and five common diseased peel conditions(i.e.,canker,copper burn,greasy spot,melanose,and wind scar).A total of 39 image texture features were determined from the transformed hue(H),saturation(S),and intensity(I)region-of-interest images using the color co-occurrence method for each fruit sample.Algorithms for selecting useful texture features were developed based on a stepwise discriminant analysis,and 14,9,and 11 texture features were selected for three color combinations of HSI,HS,and I,respectively.Classification models were constructed using the reduced texture feature sets through a discriminant function based on a measure of the generalized squared distance.The model using 14 selected HSI texture features achieved the best classification accuracy(96.7%),which suggested that it would be best to use a reduced hue,saturation and intensity texture feature set to differentiate citrus peel diseases.Average classification accuracy and standard deviation were 96.0%and 2.3%,respectively,for a stability test of the classification model,indicating that the model is robust for classifying new fruit samples according to their peel conditions.This research demonstrated that color imaging and texture feature analysis could be used for classifying citrus peel diseases under the controlled laboratory lighting conditions.

Citrus black spot detection using hyperspectral imaging

This paper describes the development of a hyperspectral imaging approach for identifying fruits infected with citrus black spot(CBS).Hyperspectral images were taken of healthy fruit and those with CBS symptoms or other potentially confounding peel conditions such as greasy spot,wind scar,or melanose.Spectral angle mapper(SAM)and spectral information divergence(SID)hyperspectral analysis approaches were used to classify fruit samples into two classes:CBS or non-CBS.The classification accuracy for CBS with SAM approach was 97.90%,and 97.14% with SID.The combination of hyperspectral images and two classification approaches(SID and SAM)have proven to be effective in recognizing CBS in the presence of other potentially confounding fruit peel conditions.The study result can be a reference for the non-destructive detection of fruits infected with citrus black spot.

Automatic sweet pepper detection based on point cloud images using subtractive clustering

Automatic identification and detection of fruit on trees by machine vision is the basis of developing automatic harvesting robots in agriculture.The occlusion of branches,leaves and other fruits in canopy images will affect the accuracy of fruit detection.To provide a scientific and reliable technical guidance for fruit harvesting robots,a method using point cloud images was proposed in this study to detect red fruits to overcome the impact of occlusion on detection.Firstly,the fruit regions were segmented from a tree’s point cloud by applying the color threshold of red and green.Then,the noise in fruit point clouds was removed with sparse outlier removal.Finally,the point cloud of each fruit was detected and counted based on the subtractive clustering algorithm.For the sweet pepper dataset,the true positive rate(TPR)is 90.69%and the false positive rate(FPR)is 6.97%for all fruits that are at least partially visible in the scene.

Estimation of citrus canker lesion size using hyperspectral reflectance imaging

The Citrus industry has need for effective approaches to remove fruit with canker before they are shipped to selective international market such as the European Union.This research aims to determine the detectable size limit for cankerous lesions using hyperspectral imaging approaches.Previously developed multispectral algorithms using visible to near-infrared wavelengths,were used to segregate cankerous citrus fruits from other peel conditions(normal,greasy spot,insect damage,melanose,scab and wind scar).However,this previous work did not consider lesion size.A two-band ratio method with a simple threshold based classifier(ratio of reflectance at wavelengths 834 nm and 729 nm),which gave maximum overall classification accuracy of 95.7%,was selected for lesion size estimation in this study.The smallest size of cankerous lesion detected in terms of equivalent diameter was 1.66 mm.The effect of variation of threshold values and number of erosion cycles(applying morphological erosion multiple times to the image)on estimation of smallest detectable lesion was observed.It was found that small threshold values gave better canker classification accuracies,while exhibiting a lower overall classification accuracy.Meanwhile,higher threshold values portrayed the opposite tendency.The threshold value of 1.275 gave the optimum tradeoff between canker classification accuracy,overall classification accuracy and minimal lesion size detection.Increasing the number of erosion cycles reduced detection rates of smaller canker lesions,leading to the conclusion that a single erosion cycle gave the best size estimation results.The erosion kernel of the size 3 mm×3 mm was used during the exploration.

Inspection of maleic anhydride in starch powder using line-scan hyperspectral Raman chemical imaging technique

Excessive use of maleic anhydride(MAN)in starch production is potentially harmful for consumers’health.This study presents a macro-scale Raman chemical imaging method for detection and quantification of MAN particles mixed in starch powder.MAN was mixed into corn starch at eight concentration levels from 50 ppm to 6400 ppm(w/w).Each mixture was put in a sample holder with a 150 mm×100 mm area and a 2 mm depth to create a large surface and a thin layer of the powdery sample for inspection.A 30 W 785 nm line laser was projected on the sample surface,from which hyperspectral images were obtained by a line-scan Raman imaging system with a spatial resolution of 0.2 mm.Fluorescence signals generated by laser-sample interactions were eliminated by a mathematical baseline correction method.A unique Raman peak was selected at 1839 cm-1 for the MAN detection,at which single-band fluorescence-corrected images were extracted from the mixture of each concentration and used to generate chemical images for MAN detection and mapping.The MAN detection limit was estimated at 100 ppm based on the Raman imaging measurement results.Pixel concentrations of the MAN in the chemical images were found linearly correlated with mass concentrations of the MAN particles in the starch powder,suggesting the Raman chemical imaging method has the potential for quantitative detection of the MAN in the starch-MAN mixtures.