Optimized Machine Learning Models for Predicting Core Body Temperature in Dairy Cows: Enhancing Accuracy and Interpretability for Practical Livestock Management.

Heat stress poses a significant challenge to livestock farming, particularly affecting the health and productivity of high-yield dairy cows. This study develops a machine learning framework aimed at predicting the core body temperature (CBT) of dairy cows to enable more effective heat stress management and enhance animal welfare. The dataset includes 3005 records of physiological data from real-world production environments, encompassing environmental parameters, individual animal characteristics, and infrared temperature measurements. Employed machine learning algorithms include elastic net (EN), artificial neural networks (ANN), random forests (RF), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and CatBoost, alongside several optimization algorithms such as Bayesian optimization (BO) and grey wolf optimizer (GWO) to refine model performance through hyperparameter tuning. Comparative analysis of various feature sets reveals that the feature set incorporating the average infrared temperature of the trunk (IRTave_TK) excels in CBT prediction, achieving a coefficient of determination (R2) value of 0.516, mean absolute error (MAE) of 0.239 °C, and root mean square error (RMSE) of 0.302 °C. Further analysis shows that the GWO-XGBoost model surpasses others in predictive accuracy with an R2 value of 0.540, RMSE as low as 0.294 °C, and MAE of just 0.232 °C, and leads in computational efficiency with an optimization time of merely 2.41 s-approximately 4500 times faster than the highest accuracy model. Through SHAP (SHapley Additive exPlanations) analysis, IRTave_TK, time zone (TZ), days in lactation (DOL), and body posture (BP) are identified as the four most critical factors in predicting CBT, and the interaction effects of IRTave_TK with other features such as body posture and time periods are unveiled. This study provides technological support for livestock management, facilitating the development and optimization of predictive models to implement timely and effective interventions, thereby maintaining the health and productivity of dairy cows.

Properties of Skin Collagen from Southern Catfish (Silurus meridionalis) Fed with Raw and Cooked Food.

The southern catfish (Silurus meridionalis) is an economically important carnivorous freshwater fish in China. In this study, we compared the properties of skin collagen from southern catfish fed with raw food (RF) and cooked food (CF). The skin collagen yield in the RF group (8.66 ± 0.11%) was significantly higher than that of the CF group (8.00 ± 0.27%). SDS-PAGE, circular dichroism spectroscopy, and FTIR analyses revealed that the collagen extracted from southern catfish skin in both groups was type I collagen, with a unique triple helix structure and high purity. The thermal denaturation temperature of collagen in the RF group (35.20 ± 0.11 °C) was significantly higher than that of the CF group (34.51 ± 0.25 °C). The DPPH free radical scavenging rates were 68.30 ± 2.41% in the RF collagen and 61.78 ± 3.91% in the CF collagen, which was higher than that found in most fish collagen. Both the RF and CF groups had high ability to form fibrils in vitro. Under the same conditions, the CF group exhibited faster fibril formation and a thicker fibril diameter (p < 0.05). In addition, the RF group exhibited significantly higher expression of col1a1 compared to the CF group. These results indicated that feeding southern catfish raw food contributed to collagen production, and the collagen from these fish may have potential in biomaterial applications.

A pre-averaged pseudo nearest neighbor classifier.

The k-nearest neighbor algorithm is a powerful classification method. However, its classification performance will be affected in small-size samples with existing outliers. To address this issue, a pre-averaged pseudo nearest neighbor classifier (PAPNN) is proposed to improve classification performance. In the PAPNN rule, the pre-averaged categorical vectors are calculated by taking the average of any two points of the training sets in each class. Then, k-pseudo nearest neighbors are chosen from the preprocessed vectors of every class to determine the category of a query point. The pre-averaged vectors can reduce the negative impact of outliers to some degree. Extensive experiments are conducted on nineteen numerical real data sets and three high dimensional real data sets by comparing PAPNN to other twelve classification methods. The experimental results demonstrate that the proposed PAPNN rule is effective for classification tasks in the case of small-size samples with existing outliers.

High-intensity ultrasound-modified Jerusalem artichoke leaf protein for stabilizing corn oi-in-water emulsion and Enhacing curcumin delivery.

Jerusalem artichoke leaf protein (JALP) has limited applications because of its dark color, even though Jerusalem artichoke is a cash crop. This study utilized high-intensity ultrasound (HIUS) (≤ 600 W) to modify the physicochemical characteristics and functional properties of JALP. Compared with the JALP, all the HIUS-treated JALP (UJALP) samples had a lighter brown color, higher absolute ζ-potential value, lower Z-average size, higher surface hydrophobicity, higher water solubility, lower turbidity, more -SH group, and higher water-holding, oil-holding, emulsifying and foaming capacities. The HIUS treatment disrupted certain non-covalent and SS bonds, promoted protein depolymerization, change protein secondary structures, causing partial unfolding of protein and exposure of some charged groups, hydrophobic groups and chromophores (like tryptophan and tyrosine). The UJALP-stabilized corn oil-in-water emulsions (UJALPEs) were more stable than the JALP-stabilized emulsion (JALPE). The bioaccessibility of curcumin in the JALPE (56.38 %) was significantly lower than in the UJALPE-600 W (64.59 %).

Plasma Biochemistry, Intestinal Health, and Transcriptome Analysis Reveal Why Laying Hens Produce Translucent Eggs.

Producing translucent eggs has been found to reduce the quality and safety of the eggs, as well as the demand from consumers. However, the intestinal function and the molecular mechanism for the production of translucent eggs remain uncertain. A total of 120 eggs from 276-day-old Jining Bairi were divided into two groups based on eggshell translucence: the translucent egg group (group T) and the normal group (group C). Group T exhibited thicker eggshells and a lower egg yolk color. Subsequently, we divided the chickens into translucent and normal groups based on their egg quality. We then assessed the plasma biochemical index, intestinal morphology and structure, enzyme activity, and antioxidant capacity of the hens producing translucent eggs compared to those producing normal eggs. The results showed that the ratio of duodenal villus length to crypt depth, succinate dehydrogenase (SDH) activity, chymotrypsin, total ATPase (T-ATPase), alkaline phosphatase (AKP), and glutathione peroxidase (GSH-Px) activities were decreased in the hens produced translucent eggs (p < 0.05), but malondialdehyde (MDA) content was increased (p < 0.05); jejunal lipase activity, Na+K+-ATPase activity, total antioxidant capacity (T-AOC), and GSH-Px activities were decreased (p < 0.05) in group T; ileal amylase and Ca2+Mg2+-ATPase activities were also decreased (p < 0.05) in group T. In addition, we identified a total of 471 differentially expressed genes (DEGs) in duodenal tissue, with 327 up-regulated genes and 144 down-regulated genes (|log2FC| ≥ 1 and p < 0.05). Enrichment analysis showed that the up-regulated genes, such as GSTT1, GSTO2, and GSTA3, were mostly enriched in metabolism of xenobiotics by cytochrome P450, drug metabolism-cytochrome P450, and oxidative phosphorylation pathways. The results of our study indicate that plasma lipid metabolism disorder, decreased intestinal antioxidant capacity, and altered intestinal metabolism capabilities may influence the formation of translucent eggs.

Narrow-Band Imaging in Head and Neck Carcinomas: A Systematic Review and Meta-Analysis.

OBJECTIVE: The purpose of this study was to assess the diagnostic performance of narrow-band imaging (NBI) in monitoring patients with head and neck carcinomas posttreatment and to compare it with that of white light endoscopy (WLE). DATA SOURCES: PubMed, Embase, Web of Science (WOS), Cochrane Library, China Biology Medicine disc (CBM disc), China National Knowledge Internet (CNKI), Wanfang Data, China Science and Technology Journal Database (CSTJ), Chinese Clinical Trial Register. REVIEW METHODS: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), literature published before July 2024 was searched. Patients who underwent surgery, radiotherapy (RT), or chemo-RT for head and neck carcinomas with posttreatment follow-up using NBI were analyzed. The main outcomes were sensitivity, specificity, and diagnostic odds ratio (DOR) for NBI and WLE in posttreatment follow-up. RESULTS: The sensitivity, specificity, and DOR for NBI and WLE in posttreatment follow-up for head and neck carcinomas were 95% (95% confidence interval [CI]: 88%-98%), 96% (95% CI: 92%-98%), 433 (95% CI: 120-1560) and 72% (95% CI: 49%-87%), 72% (95% CI: 4%-99%), 7 (95% CI: 0-191). Additionally, the area under the curve (AUC) values for NBI and WLE were 0.99 (95% CI: 0.97-0.99) and 0.75 (95% CI: 0.71-0.79), respectively. The number of lesions and patients, treatment modality, follow-up time, disease, and endoscopic system might be sources of heterogeneity. CONCLUSION: Compared to WLE, NBI demonstrated superior diagnostic performance in follow-up patients with head and neck carcinoma posttreatment. NBI offers technical support and a clinical foundation for early detection of head and neck carcinoma recurrence. LEVEL OF EVIDENCE: NA Laryngoscope, 2024.

Impact of elevated CO2 on microbial communities and functions in riparian sediments: Role of pollution levels in modulating effects.

The impact of elevated CO2 levels on microorganisms is a focal point in studying the environmental effects of global climate change. A growing number of studies have demonstrated the importance of the direct effects of elevated CO2 on microorganisms, which are confounded by indirect effects that are not easily identified. Riparian zones have become key factor in identifying the environmental effects of global climate change because of their special location. However, the direct effects of elevated CO2 levels on microbial activity and function in riparian zone sediments remain unclear. In this study, three riparian sediments with different pollution risk levels of heavy metals and nutrients were selected to explore the direct response of microbial communities and functions to elevated CO2 excluding plants. The results showed that the short-term effects of elevated CO2 did not change the diversity of the bacterial and fungal communities, but altered the composition of their communities. Additionally, differences were observed in the responses of microbial functions to elevated CO2 levels among the three regions. Elevated CO2 promoted the activities of nitrification and denitrification enzymes and led to significant increases in N2O release in the three sediments, with the greatest increase of 76.09 % observed in the Yuyangshan Bay (YYS). Microbial carbon metabolism was promoted by elevated CO2 in YYS but was significantly inhibited by elevated CO2 in Gonghu Bay and Meiliang Bay. Moreover, TOC, TN, and Pb contents were identified as key factors contributing to the different microbial responses to elevated CO2 in sediments with different heavy metal and nutrient pollution. In conclusion, this study provides in-depth insights into the responses of bacteria and fungi in polluted riparian sediments to elevated CO2, which helps elucidate the complex interactions between microbial activity and environmental stressors.

Association of unsweetened and sweetened cereal consumption with all-cause and cause-specific mortality: a large prospective population-based cohort study.

Background & aims: Although previous observational studies have suggested an association between whole grain consumption (including breakfast cereals) and a reduced risk of death, no study has explored in detail the association between consumption of cereal with or without added sweeteners and death. We therefore aimed to evaluate the association between unsweetened, sugar-sweetened, and artificially sweetened cereals and all-cause and cause-specific mortality. Methods: We conducted a prospective cohort study of 186 419 UK Biobank participants who met the inclusion criteria for this study. Participants with baseline demographic, lifestyle, dietary, and clinical data were recruited from 2006 to 2010 and followed up until 2023. The intake of unsweetened, sugar-sweetened, or artificially sweetened cereals was estimated through repeated 24 hour dietary recalls. The non-linear relationships between daily dosage of cereal and all-cause, cancer-specific, and cardiovascular disease (CVD)-specific mortality were calculated using a restricted cubic spline curve. Hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cause-specific mortality were calculated using Cox regression models. Results: During a median follow-up of 13.6 years, 11 351 all-cause deaths were recorded, including 6176 cancer deaths and 2126 CVD deaths. Cox regression models with restricted cubic splines showed a non-linear association between unsweetened cereals and all-cause and cancer-specific mortality. Compared with non-consumers, consumers of different amounts of unsweetened cereals (0 to 0.5, 0.5 to 1.5, and >1.5 bowls per day) had lower risks of all-cause mortality in the multivariate Cox models, with respective HRs of 0.89 (95%CI: 0.84-0.95), 0.90 (95%CI: 0.86-0.94), and 0.89 (95%CI: 0.82-0.97). However, no association was observed between consumption of sugar or artificially sweetened cereals and the risk of mortality. When cereals were divided into those with or without dried fruit, the findings were consistent with our primary results. Conclusions: Moderate consumption of unsweetened cereals was associated with a reduced risk of all-cause mortality, suggesting caution in consuming cereals with added sugar or artificial sweeteners.

Effects of different culture salinities on the growth and muscle quality of grass carp (Ctenopharyngodon idellus).

Grass carp (Ctenopharyngodon idellus) is an economically important farmed fish. This experiment was conducted to study the effects of different culture salinities on the growth and muscle quality of grass carp. We found that salinity of 0 to 5 had no significant effect on the growth of grass carp, but it significantly decreased at salinities above 5. Compared to salinity 0, the protein content of serum was significantly higher at salinities of 3 and 5. However, all serum biochemical compound measured, except glucose and total protein, decreased significantly at salinity 9. Muscle textural properties of grass carp were significantly higher at salinities of 3 and 5 than at 0, 7, and 9. Salinities of 0 to 3 had no significant effect on muscle nutrition of grass carp, but this parameter tended to decrease at salinities above 7. Salinities of 3 and 5 significantly favored muscle growth and expression of collagen-related genes, whereas the opposite was true for salinities of 7 and 9. These results indicated that grass carp grew normally at salinities of 3 and 5, with some improvement in muscle quality, whereas salinities of 7 and 9 had a negative effect on growth and quality. Therefore, appropriate salinity levels can help to improve the muscle quality of grass carp without affecting their growth.

Grass carp is an important economic fish with the highest production in the world. In recent years, the issue of quality improvement of grass carp has received more attention. On the other hand, as the climate warms and the salinized area increases, the use of salt-water resources has become an important issue. This experiment was conducted to study the effects of different culture salinities on the growth and muscle quality of grass carp. The results suggested salinity of 3 and 5 could enhance the muscle quality of grass carp without affecting the growth, especially with higher collagen content, expression of collagen-related genes, and sweet amino acids in muscle compared with salinity 0. However, salinity 7 and 9 inhibited the growth of grass carp and negatively affected muscle quality. This study suggested that a slight increase in aquaculture salinity can improve the muscle quality of grass carp without affecting the growth, which provided data basis and theoretical support for the healthy aquaculture of grass carp and utilization of saline water.

Emulsifying properties of cellulose nanocrystals with different structures and morphologies from various solanaceous vegetable residues.

The stems of solanaceous vegetables with attractive source of cellulose, have caused severe environmental problems as agricultural residues. For the reutilization of the residues, this study isolated cellulose nanocrystals (CNs) from the stems of tomato, eggplant, and pepper to explore their applications in Pickering emulsions. Detailed analyses of the crystalline structure and morphology revealed differences in their emulsifying properties. Tomato stem CNs had higher crystallinity of 82.1 % and a short, straight rod-like shape with a low aspect ratio of 8.0, while eggplant and pepper CNs were long, curved whisker-like fibers with lower crystallinities of 75.3 % and 75.4 %, respectively. Tomato stem CNs exhibited the best emulsifying properties, attributed to their relatively higher crystallinity and larger crystal brick size enhancing amphiphilicity, along with their lower aspect ratio improving interface coverage, which resulted in stable emulsions across different temperatures, pH levels, and ionic strengths. This study enhances our understanding of how the structure and morphology of CNs influence their emulsifying properties, thereby contributing to the promotion of agricultural waste reutilization.

New Strategies for constructing and analyzing semiconductor photosynthetic biohybrid systems based on ensemble Machine learning Models: Visualizing complex mechanisms and yield prediction.

Photosynthetic biohybrid systems (PBSs) composed of semiconductor-microbial hybrids provide a novel approach for converting light into chemical energy. However, comprehending the intricate interactions between materials and microbes that lead to PBSs with high apparent quantum yields (AQY) is challenging. Machine learning holds promise in predicting these interactions. To address this issue, this study employs ensemble learning (ESL) based on Random Forest, Gradient Boosting Decision Tree, and eXtreme Gradient Boosting to predict AQY of PBSs utilizing a dataset comprising 15 influential factors. The ESL model demonstrates exceptional accuracy and interpretability (R2 value of 0.927), offering insights into the impact of these factors on AQY while facilitating the selection of efficient semiconductors. Furthermore, this research propose that efficient charge carrier separation and transfer at the bio-abiotic interface are crucial for achieving high AQY levels. This research provides guidance for selecting semiconductors suitable for productive PBSs while elucidating mechanisms underlying their enhanced efficiency.

Antibacterial mode of action of garviecin LG34 against Gram-negative bacterium Salmonella typhimurium.

Garviecin LG34 produced by Lactococcus garvieae LG34 exhibits wide-spectrum antibacterial activity against both Gram-positive and Gram-negative bacteria. This work aimed at clarifying the antibacterial mode of action of garviecin LG34 against Gram-negative bacterium Salmonella typhimurium. To determine the concentration for the bacteriocin antimicrobial mode experiments, the minimum inhibitory concentration of garviecin LG34 against S. typhimurium CICC21484 was determined as 0.25 mg/ml. Garviecin LG34 decreased the viable count of S. typhimurium CICC21484 and its antibacterial activity was the dose and time dependant. Garviecin LG34 led to the dissipation of transmembrane potential, the rise in the extracellular conductivity, UV-absorbing material at 260 nm, and LDH level of S. typhimurium CICC21484. Scanning electron micrographs results shown that garviecin LG34 cause dramatic deformation and fragmentation including the flagellum shedding, pores formation in surface, and even completely breakage of S. typhimurium cell. Moreover, garviecin LG34 decreased the intracellular ATP level. The results of this study demonstrated that garviecin LG34 can destroy cell structure, increase membrane permeability of S. typhimurium, thereby might be used as biopreservative for treating food borne and salmonellosis resulting from Gram-negative bacterium S. typhimurium.

Genomic dynamics of the Lower Yellow River Valley since the Early Neolithic.

The Yellow River Delta played a vital role in the development of the Neolithic civilization of China. However, the population history of this region from the Neolithic transitions to the present remains poorly understood due to the lack of ancient human genomes. This especially holds for key Neolithic transitions and tumultuous turnovers of dynastic history. Here, we report genome-wide data from 69 individuals dating to 5,410-1,345 years before present (BP) at 0.008 to 2.49× coverages, along with 325 present-day individuals collected from 16 cities across Shandong. During the Middle to Late Dawenkou period, we observed a significant influx of ancestry from Neolithic Yellow River farmers in central China and some southern Chinese ancestry that mixed with local hunter-gatherers in Shandong. The genetic heritage of the Shandong Longshan people was found to be most closely linked to the Dawenkou culture. During the Shang to Zhou Dynasties, there was evidence of genetic admixture of local Longshan populations with migrants from the Central Plain. After the Qin to Han Dynasties, the genetic composition of the region began to resemble that of modern Shandong populations. Our genetic findings suggest that the middle Yellow River Basin farmers played a role in shaping the genetic affinity of neighboring populations in northern China during the Middle to Late Neolithic period. Additionally, our findings indicate that the genetic diversity in the Shandong region during the Zhou Dynasty may be linked with their complex ethnicities.

Antibacterial Mechanism of Garviecin LG34 Against S. Aureus and L. Monocytogenes and its Application in Milk Preservation.

The objective of this study was to reveal the antibacterial mode of action of garviecin LG34 against S. aureus CICC 21600 and L. monocytogenes CICC 21633 and measure the inhibitions on these two foodborne pathogenic bacteria in milk. Antibacterial mechanism of garviecin LG34 was ascertained by its effect on the efflux of Potassium (K+) ions, extracellular electrical conductivity, UV-absorbing substances, potential across the membrane (ΔΨ), and cell permeability. The inhibition of garviecin LG34 against S. aureus CICC 21600 and L. monocytogenes CICC 21600 in milk was studied by viable counting method. Supplementation with 160 AU/ml of garviecin LG34 had a bactericidal effect on S. aureus CICC 21600 and L. monocytogenes CICC 21633. A total of 80, 160, and 320 AU/ml of garviecin LG34 resulted in the effusion of potassium ion and UV-absorbing substances, the leakage of cellular electrolytes, and the dissipation of electrical potential across the membrane of these two food-borne bacteria and showed a dose-dependent. Moreover, the increase in cell permeability of both strains was observed by flow cytometer after cells treated with 160 AU/ml of garviecin LG34. Garviecin LG34 significantly inhibited the growth of these two food-borne bacteria in milk, especially in skimmed milk. Garviecin LG34 could cause pore formation, intracellular materials release, and permeability increase of S. aureus CICC 21600 and L. monocytogenes CICC 21633, and could be applied to milk as bio-preservative.

Insights into carbon-neutral treatment of rural wastewater by constructed wetlands: A review of current development and future direction.

In recent years, with the global rise in awareness regarding carbon neutrality, the treatment of wastewater in rural areas is increasingly oriented towards energy conservation, emission reduction, low-carbon output, and resource utilization. This paper provides an analysis of the advantages and disadvantages of the current low-carbon treatment process of low-carbon treatment for rural wastewater. Constructed wetlands (CWs) are increasingly being considered as a viable option for treating wastewater in rural regions. In pursuit of carbon neutrality, advanced carbon-neutral bioprocesses are regarded as the prospective trajectory for achieving carbon-neutral treatment of rural wastewater. The incorporation of CWs with emerging biotechnologies such as sulfur-based autotrophic denitrification (SAD), pyrite-based autotrophic denitrification (PAD), and anaerobic ammonia oxidation (anammox) enables efficient removal of nitrogen and phosphorus from rural wastewater. The advancement of CWs towards improved removal of organic and inorganic pollutants, sustainability, minimal energy consumption, and low carbon emissions is widely recognized as a viable low-carbon approach for achieving carbon-neutral treatment of rural wastewater. This study offers novel perspectives on the sustainable development of wastewater treatment in rural areas within the framework of achieving carbon neutrality in the future.

The roles of MicroRNAs in cadmium toxicity and in the protection offered by plant food-derived dietary phenolic bioactive substances against cadmium-induced toxicity.

Cadmium, a harmful food contaminant, poses severe health risks. There are ongoing efforts to reduce cadmium pollution and alleviate its toxicity, including plant-based dietary intervention. This review hypothesizes that microRNAs (miRNAs), as regulatory eukaryotic transcripts, play crucial roles in modulating cadmium-induced organ damage, and plant food-derived bioactive compounds provide protective effects via miRNA-mediated mechanisms. The review reveals that there are interplays between certain miRNAs and plant food-derived dietary bioactive substances when these bioactives, especially phenolics, counteract cadmium toxicity through regulating physiologic and pathologic events (including oxidative stress, apoptosis, autophagy and inflammation). The review discusses common miRNA-associated physiologic/pathologic events and signal pathways shared by the cadmium toxicity and dietary intervention processes. This paper identifies the existing knowledge gaps and potential future work (e.g. joint actions between miRNAs and other noncoding RNAs in the fights against cadmium). The insights provided by this review can improve food safety strategies and public health outcomes.

Effects of high pressure processing on structural changes, aggregation, and binding mechanisms of ß-Lactoglobulin with typical polyphenols.

The binding capacity of ß-Lactoglobulin (BLG) is crucial for delivering polyphenols, influenced by structural changes. High pressure processing (HPP) has the potential to modify BLG's structure and aggregation, but its specific impact on BLG-polyphenol interactions is uncertain. This study used circular dichroism spectroscopy and molecular dynamics simulations to reveal HPP-induced structural changes in BLG, supported by particle size analysis indicating aggregation. Seven structurally diverse polyphenols (quercetin-QR, hesperetin-HSP, dihydromyricetin-DHM, gallic acid-GA, (-)-epicatechin-EC, resveratrol-RES, and secoisolariciresinol diglucoside-SDG) were investigated to comprehensively analyze their binding patterns using fluorescence spectroscopy and molecular docking. HPP reduced BLG's ordered structure and increased its aggregation. Binding affinities peaked at 400 MPa for DHM, QR, HSP, GA, and RES, while SDG and EC exhibited maximum affinities at atmospheric pressure and 600 MPa, respectively. Elevated pressures enhanced BLG-polyphenol interactions, particularly at residues 44GLU and 160CYS, with van der Waals forces dominating the binding free energy.

Sinomenine hydrochloride improves DSS-induced colitis in mice through inhibition of the TLR2/NF-κB signaling pathway.

BACKGROUND: Sinomenine hydrochloride (SH) has anti-inflammatory and immunosuppressive effects, and its effectiveness in inflammatory diseases, such as rheumatoid arthritis, has been demonstrated. However, whether SH has a therapeutic effect on dextran sodium sulfate (DSS)-induced ulcerative colitis (UC) in mice and its mechanism of action have not been clarified. This study aimed to investigate the therapeutic effects and mechanism of action of SH on UC. METHODS: Twenty-four mice were randomly divided into control, model, SH low-dose (SH-L, 20mg/kg), and SH high-dose (SH-H, 60mg/kg) groups with six mice in each group. Disease activity index (DAI), colonic mucosal damage index, and colonic histopathology scores were calculated. The expression levels of related proteins, genes, and downstream inflammatory factors in the Toll-like receptor 2/NF-κB (TLR2/NF-κB) signaling pathway were quantified. RESULTS: SH inhibited weight loss, decreased DAI and histopathological scores, decreased the expression levels of TLR2, MyD88, P-P65, P65 proteins, and TLR2 genes, and also suppressed the expression of inflammatory factors TNF-α, IL-1 ß, and IL-6 in the peripheral blood of mice. CONCLUSION: The therapeutic effect of SH on DSS-induced UC in mice may be related to the inhibition of the TLR2/NF-κB signaling pathway.

A high affinity monoclonal antibody against HLA-E-VL9 enhances natural killer cell anti-tumor killing.

Natural killer (NK) cells kill target cells following triggering via germline-encoded receptors interacting with target cell-expressed ligands (direct killing), or via antibody-dependent cellular cytotoxicity (ADCC) mediated by FcγRIIIa. NK cytotoxicity is modulated by signaling through activating or inhibitory receptors. A major checkpoint is mediated by the NK inhibitory receptor NKG2A/CD94 and its target cell ligand, HLA-E, which is complexed with HLA signal sequence-derived peptides termed VL9 (HLA-E-VL9). We have previously reported the isolation of a murine HLA-E-VL9-specific IgM antibody 3H4 and the generation of a higher affinity IgG version (3H4v3). Here we have used phage display library selection to generate a high affinity version of 3H4v3, called 3H4v31, with an ∼700 fold increase in binding affinity. We show using an HLA-E-VL9+ K562 tumor model that, in vitro, the addition of 3H4v31 to target cells increased direct killing of targets by CD16-negative NK cell line NK-92 and also mediated ADCC by NK-92 cells transfected with CD16. Moreover, ADCC by primary NK cells was also enhanced in vitro by 3H4v31. 3H4v31 was also able to bind and enhance target cell lysis of endogenously expressed HLA-E-VL9 on human cervical cancer and human pancreatic cancer cell lines. In vivo, 3H4v31 slowed the growth rate of HLA-E-VL9+ K562 tumors implanted into NOD/SCID/IL2rγ null mice compared to isotype control when injected with NK-92 cells intratumorally. Together, these data demonstrate that mAb 3H4v31 can enhance NK cell killing of HLA-E-VL9-expressing tumor cells in vitro by both direct killing activity and by ADCC. Moreover, mAb 3H4v31 can enhance NK cell control of tumor growth in vivo. We thus identify HLA-E-VL9 monoclonal antibodies as a promising novel anti-tumor immunotherapy. One Sentence Summary: A high affinity monoclonal antibody against HLA-E-VL9 enhances natural killer cell anti-tumor killing by checkpoint inhibition and antibody dependent cellular cytotoxicity.

Pectin-based cinnamon essential oil Pickering emulsion film with two-sided differential wettability: A major role in the spatial distribution of microdroplets.

Pickering emulsions have attracted much attention as a novel emulsifying technology. This research to explore Zein-Citrus pectin nanoparticles stabilized cinnamon essential oil (CEO) Pickering emulsion (ZCCPEs) for constructing Pickering emulsion edible film (PEF). Unlike traditional research, which focuses on antibacterial and antioxidant activities, our research examined the physical properties of PEF, specifically changes in wettability. The results show that PEF has better transparency and tensile strength than the pectin alone direct emulsion film (PAEF), and the spatial distribution of Pickering emulsion droplets gives different wettability on both sides of PEF. The partially hydrophobic upside has important application value in food packaging. At the same time, the PEF is biodegradable and environmentally non-polluting. The edible film loaded with essential oils, developed based on the Pickering stabilization mechanism in this study, possesses several desirable characteristics for potential used as bioactive packaging films in food applications.