Improving feed intake and rumen fermentation in lambs using mixed-dimensional attapulgite clay to adsorb naturally occurring mycotoxins.

This experiment was conducted to evaluate the effects of including a mixed-dimensional attapulgite clay (MDA) into a naturally moldly diet for Hu lambs. Fifty male Hu lambs with similar initial body weight (28.24 ±â€…1.80 kg) were randomly allocated into five dietary treatments: a basal diet containing naturally occurring mycotoxins with 0, 0.5, 1.0, and 2.0 kg/t MDA, and basal diet with a commercial mycotoxin adsorbent Solis with montmorillonite as the major component at 1 kg/t. Both MDA and Solis increased average daily gain (ADG) and dry matter intake (DMI; P ≤ 0.004), and there was no difference in growth performance between MDA and Solis (P ≥ 0.26). The final body weight, DMI, and ADG were linearly increased with increasing MDA supplementation (P < 0.01). Lambs treated with both MDA and Solis demonstrated greater apparent digestibility of dry matter (DM), organic matter (OM), and energy compared with the control group (P ≤ 0.03), and there were no differences in nutrient digestibilities between MDA and Solis (P ≥ 0.38). Digestibility of CP was linearly increased with the increasing MDA supplementation (P = 0.01). Neither MDA nor Solis affected rumen total volatile fatty acid (TVFA) concentration (P ≥ 0.39), but decreased the acetate-to-propionate ratio and molar proportion of n-butyrate (P ≤ 0.01), and MDA also increased the concentration of ammonia (P = 0.003). Besides, increasing MDA supplementation linearly reduced the acetate-to-propionate ratio and molar proportion of n-butyrate (P = 0.01), but linearly and quadratically increased the concentration of ammonia (P ≥ 0.003). These results showed that the incorporation of MDA into a naturally moldy diet of Hu lambs yielded comparable results to the Solis product, with higher growth performance and nutrient digestibility but lower acetate-to-propionate ratio observed. In conclusion, including ≥ 1 kg/t of MDA in high mycotoxin risk diets for growing lambs improves feed intake and rumen fermentation.

The issue of mycotoxin-contaminated animal feed has consistently presented a significant challenge in relation to animal health and production. The mixed-dimensional attapulgite clay (MDA) has been proven effective in binding polar mycotoxins such as aflatoxin, while also effectively adsorbing hydrophobic or weakly polar mycotoxins such as zearalenone (ZEN) and ochratoxin. Therefore, this study was undertaken to assess the impact of MDA inclusion in mycotoxin-contaminated diets on performance and rumen fermentation variables in lambs. The results indicated that MDA not only significantly improved the growth performance and nutrient digestibility of Hu lambs but also enhanced the molar proportion of propionate and ammonia concentration, and reduced the acetate to propionate ratio and the molar proportion of n-butyrate.

Supplementation of chestnut tannins in diets can improve meat quality and antioxidative capability in Hu lambs.

Chestnut tannins (CNT), as a source of hydrolyzable tannins, positively affect the antioxidant status of livestock. In the current study, 90 male Hu lambs were used to investigate the effect of dietary CNT intake on growth performance, nutrient digestibility, meat quality and oxidative stability, rumen microbial, and the transcriptomes of muscle and liver. A completely randomized design with three CNT intake levels (0, 0.3%, and 0.6%) was used. Rumen microbial and nutrient digestibility were not significantly altered by CNT intake. Diets with 0.3% CNT intake significantly reduced the shear force, yellowness at 24 h, and C20:2 polyunsaturated fatty acids of lamb meat and malondialdehyde in serum and longissimus thoracis (LT) muscle. Meanwhile, the 0.3% CNT diet significantly increased average daily gain during the 1- 21 days and 64- 90 days, dry matter intake during the 1- 21 days, the slaughter weight, and liver index of lambs. The 0.3% CNT diet significantly increased C26:0 saturated fatty acids, total antioxidant capacity, glutathione peroxidase, superoxide dismutase, and catalase in LT muscle. The meat shelf life of 0.3% CNT and 0.6% CNT groups was prolonged by 8.7 h and 5.4 h, respectively. Transcriptomic analysis revealed that CNT supplementation can induce the expression of antioxidant enzyme gene (CAT, SOD1), and the differentially expressed genes were mainly involved in antioxidant activity, transferase activity, and adenosine triphosphate binding. These results suggest that 0.3% CNT intake can relieve the oxidative stress of lambs, and improve the stability of meat color and meat tenderness, due to the enhanced antioxidative capacity.

Aphid cluster recognition and detection in the wild using deep learning models.

Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying chemicals across entire fields is both environmentally unsustainable and costly. Hence, precise localization and management of aphids are essential for targeted pesticide application. The paper primarily focuses on using deep learning models for detecting aphid clusters. We propose a novel approach for estimating infection levels by detecting aphid clusters. To facilitate this research, we have captured a large-scale dataset from sorghum fields, manually selected 5447 images containing aphids, and annotated each individual aphid cluster within these images. To facilitate the use of machine learning models, we further process the images by cropping them into patches, resulting in a labeled dataset comprising 151,380 image patches. Then, we implemented and compared the performance of four state-of-the-art object detection models (VFNet, GFLV2, PAA, and ATSS) on the aphid dataset. Extensive experimental results show that all models yield stable similar performance in terms of average precision and recall. We then propose to merge close neighboring clusters and remove tiny clusters caused by cropping, and the performance is further boosted by around 17%. The study demonstrates the feasibility of automatically detecting and managing insects using machine learning models. The labeled dataset will be made openly available to the research community.

Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations.

Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be effective in reducing CRC mortality. Thus, a reliable computer-aided polyp detection and classification system can significantly increase the effectiveness of colonoscopy. In this paper, we create an endoscopic dataset collected from various sources and annotate the ground truth of polyp location and classification results with the help of experienced gastroenterologists. The dataset can serve as a benchmark platform to train and evaluate the machine learning models for polyp classification. We have also compared the performance of eight state-of-the-art deep learning-based object detection models. The results demonstrate that deep CNN models are promising in CRC screening. This work can serve as a baseline for future research in polyp detection and classification.

Combination of polysaccharides from Astragalus membranaceus and Codonopsis pilosula ameliorated mice colitis and underlying mechanisms.

ETHNOPHARMACOLOGICAL RELEVANCE: Astragalus membranaceus and Codonopsis pilosula which are two Chinese medicinal herbs are often combinedly used as monarch drugs in Traditional Chinese Medicine (TCM) prescriptions to treat ulcerative colitis (UC). However, the exact mechanisms and effective constituents of the two herbs remain unclear. AIM OF THE STUDY: Polysaccharides are the main active ingredients of the two medicinal herbs and some specific polysaccharides extracted from the two medicinal herbs have been proven effective in relieving colitis. Hence, we speculated that polysaccharides of the two medicinal herbs may be the material basis for compatibility in TCM prescriptions to treat UC. In the research, total polysaccharides of A. membranaceus and C. pilosula extractum, named AERP and CERP respectively, were administrated to 2.5% dextran sulfate sodium (DSS)-induced acute colitis mice by dosing alone and in combination to test this hypothesis. MATERIALS AND METHODS: 5-aminosalicylic acid (5-ASA, 100 mg/kg/d) was selected as the positive drug. The basic indexes of colitis mice including body weight, stool bleeding, stool consistency and colon lengths were recorded. In addition, tissue inflammatory factors, mucosa-associated proteins, fecal short chain fatty acids (SCFAs) and gut microbiota were also analyzed. RESULTS: The co-administration of AERP and CERP at specific doses could improve the clinical symptoms, reestablish the immune balance, and alleviate colonic mucosal injury in colitis mice. The unique efficacy of co-administration relied on activation of the aryl hydrocarbon receptor (AhR) and up-regulation of isovaleric acid and butyrate. In addition, the structure of intestinal flora was recovered in the co-administration group. CONCLUSION: Our research proved the efficacy after co-administration of total polysaccharides from A. membranaceus and C. pilosula on colitis mice which provided a theoretical basis for their compatibility in TCM prescriptions to treat UC.

A comparative study on polyp classification using convolutional neural networks.

Colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. Most colorectal cancers start as a growth on the inner lining of the colon or rectum, called 'polyp'. Not all polyps are cancerous, but some can develop into cancer. Early detection and recognition of the type of polyps is critical to prevent cancer and change outcomes. However, visual classification of polyps is challenging due to varying illumination conditions of endoscopy, variant texture, appearance, and overlapping morphology between polyps. More importantly, evaluation of polyp patterns by gastroenterologists is subjective leading to a poor agreement among observers. Deep convolutional neural networks have proven very successful in object classification across various object categories. In this work, we compare the performance of the state-of-the-art general object classification models for polyp classification. We trained a total of six CNN models end-to-end using a dataset of 157 video sequences composed of two types of polyps: hyperplastic and adenomatous. Our results demonstrate that the state-of-the-art CNN models can successfully classify polyps with an accuracy comparable or better than reported among gastroenterologists. The results of this study can guide future research in polyp classification.

Bioactive structural basis of proteoglycans from Sarcandra glabra based on spectrum-effect relationship.

ETHNOPHARMACOLOGICAL RELEVANCE: Proteoglycans are one of the active ingredients of great importance in Sarcandra glabra. The biological activities of proteoglycans extracted from Sarcandra glabra including suppressing tumor growth and antioxidant activity were studied. However, raw materials from different regions may cause differences in the activity of natural extracts, especially for bioactive biomacromolecules. Conventional identification of S.glabra cannot accurately reflect the distinguishing relationship between internal components and the pharmacological activity. The identification of biologically active structures was obtained by constructing multiple fingerprint and spectrum-effect relationship. AIM OF THE STUDY: To evaluate the bioactive structural basis of proteoglycans from S.glabra based on spectrum-effect relationship and chemometric methods. MATERIALS AND METHODS: Multiple fingerprinting including HPSEC, PMP-HPLC, and FT-IR of proteoglycans was established from 18 batches of samples based on the structural characteristics. Both antitumor activity and antioxidant activity were determined. Mathematical analysis was used to analyze the spectrum-effect relationship. RESULTS: PCA results showed monosaccharides including Xly, Rha, and GlcA, carboxyl group in acidic sugars, peptide bond in proteins, and methylene groups could be used as markers for distinguishing the samples from different sources. The results of the spectrum-effect relationship analysis indicated that the bioactive markers of inhibitory activity on MG63 and U2OS cells by PLS-DA were related to GlcA, Xyl, Fuc, ß-glycosidic bonds, peptide linkage, and methylene groups. Markers composing monosaccharide for antioxidant activity were Xyl, GlcA, and GlcN. Meanwhile, the group markers were pyranose ring, carboxyl group, peptide linkage, and methylene structure. CONCLUSIONS: The material basis that affects the pharmacological efficacy could be found according to the spectrum-effect relationship analysis. This study could lay a foundation for further exploring the relationship between structural characteristics and pharmacodynamics of macromolecular glycoconjugates in Traditional Chinese Medicine.

The α-D-glucan from marine fungus Phoma herbarum YS4108 ameliorated mice colitis by repairing mucosal barrier and maintaining intestinal homeostasis.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease of unknown etiology with increasing incidence world widely. Previous studies have indicated that the α-D-glucan YCP purified from the mycelium of the marine fungus Phoma herbarum YS4108 had certain immunomodulatory activities in animal and cell models. In the study, the therapeutic effect and intestinal regulatory activity of YCP (40 mg/kg, intraperitoneal injection) on UC were investigated in dextran sulfate sodium (DSS)-induced colitis mice. The results showed YCP could improve the general symptoms, reestablish the intestinal immune balance, and repair the mucosal barrier in colitis mice. The administration of YCP also significantly increased butyrate and isovaleric acid levels. In addition, YCP resulted in prominent alterations on specific microbiota including Firmicutes, Bacteroidetes, Proteobacteria, Clostridiales, and Lachnospiraceae which are closely related to immune regulation and mucus repair. Therefore, YCP may be a candidate for curing UC because of its conspicuous effects comparable to 5-aminosalicylic acid (5-ASA).

Structural characterization and rheological properties of a pectin with anti-constipation activity from the roots of Arctium lappa L.

A new pectin (ALP-2) was extracted from the roots of Arctium lappa L. with the molecular weight of 1.84 × 106 Da. ALP-2 was composed of rhamnose, glucuronic acid, galacturonic acid, glucose, galactose, xylose and arabinose. Results of NMR revealed that the dominant linkage types of ALP-2 were →4-α-GalpA-6-OMe-(1→, →2-α-Rha-(1→, →5-α-Araf-(1→ and →3,6-ß-Galp-(1→. The ELISA results indicated ALP-2 was a typical pectin with HG chain and RG-I chain. The rheological experiments showed that ALP-2 fluid exhibited shear thinning behavior. The viscosity of ALP-2 was mainly affected by concentration, temperature, and pH. The ALP-2 fluid with elastic properties at high frequencies could be used as a thickener in the food industry. Moreover, ALP-2 with the dosages of 200 mg/kg and 400 mg/kg exhibited strong anti-constipation activity in vivo. ALP-2 treated groups could improve small intestinal movement rate and increase the weight of feces significantly in constipation mice. Therefore, ALP-2 could be considered as the active component for functional food or therapeutic agent in constipation therapy.

Production of marker-free and RSV-resistant transgenic rice using a twin T-DNA system and RNAi.

A twin T-DNA system is a convenient strategy for creating selectable marker-free transgenic plants. The standard transformation plasmid, pCAMBIA 1300, was modified into a binary vector consisting of two separate T-DNAs, one of which contained the hygromycin phosphotransferase (hpt) marker gene. Using this binary vector, we constructed two vectors that expressed inverted-repeat (IR) structures targeting the rice stripe virus (RSV) coat protein (CP) gene and the special-disease protein (SP) gene. Transgenic rice lines were obtained via Agrobacterium-mediated transformation. Seven independent clones harbouring both the hpt marker gene and the target genes (RSV CP or SP) were obtained in the primary transformants of pDTRSVCP and pDTRSVSP, respectively. The segregation frequencies of the target gene and the marker gene in the T1 plants were 8.72 percent for pDTRSVCP and 12.33 percent for pDTRSVSP. Two of the pDTRSVCP lines and three pDTRSVSP lines harbouring the homozygous target gene, but not the hpt gene, were strongly resistant to RSV. A molecular analysis of the resistant transgenic plants confirmed the stable integration and expression of the target genes. The resistant transgenic plants displayed lower levels of the transgene transcripts and specific small interfering RNAs, suggesting that RNAi induced the viral resistance.

Production of transgenic rice new germplasm with strong resistance against two isolations of Rice stripe virus by RNA interference.

Rice stripe disease, with the pathogen Rice stripe virus (RSV), is one of the most widespread and severe virus diseases. Cultivating a resistant breed is an essential and efficient method in preventing rice stripe disease. Following RNA interference (RNAi) theory, we constructed three RNAi binary vectors based on coat protein (CP), special-disease protein (SP) and chimeric CP/SP gene sequence. Transgenic lines of rice cv. Yujing6 were generated through Agrobacterium-mediated transformation. We inoculated T1 generation plants from each line derived from CP/SP, CP, and SP transgenic rice plants with two RSV isolates from Shandong Province and Jiangsu Province using viruliferous vector insects. In these resistance assays, chimeric CP/SP RNAi lines showed stronger resistance against two isolates than CP or SP single RNAi lines. Stable integration and expression of RNAi transgenes were confirmed by Southern and northern blot analysis of independent transgenic lines. In the resistant transgenic lines, lower levels of transgene transcripts and specific short interference RNAs were observed relative to the susceptible transgenic plant, which showed that virus resistance was increased by RNAi. Genetic analysis demonstrated that transgene and virus resistance was stably inherited in the T2 progeny plants.