An airway-to-brain sensory pathway mediates influenza-induced sickness.

Pathogen infection causes a stereotyped state of sickness that involves neuronally orchestrated behavioural and physiological changes1,2. On infection, immune cells release a 'storm' of cytokines and other mediators, many of which are detected by neurons3,4; yet, the responding neural circuits and neuro-immune interaction mechanisms that evoke sickness behaviour during naturalistic infections remain unclear. Over-the-counter medications such as aspirin and ibuprofen are widely used to alleviate sickness and act by blocking prostaglandin E2 (PGE2) synthesis5. A leading model is that PGE2 crosses the blood-brain barrier and directly engages hypothalamic neurons2. Here, using genetic tools that broadly cover a peripheral sensory neuron atlas, we instead identified a small population of PGE2-detecting glossopharyngeal sensory neurons (petrosal GABRA1 neurons) that are essential for influenza-induced sickness behaviour in mice. Ablating petrosal GABRA1 neurons or targeted knockout of PGE2 receptor 3 (EP3) in these neurons eliminates influenza-induced decreases in food intake, water intake and mobility during early-stage infection and improves survival. Genetically guided anatomical mapping revealed that petrosal GABRA1 neurons project to mucosal regions of the nasopharynx with increased expression of cyclooxygenase-2 after infection, and also display a specific axonal targeting pattern in the brainstem. Together, these findings reveal a primary airway-to-brain sensory pathway that detects locally produced prostaglandins and mediates systemic sickness responses to respiratory virus infection.

Prognostic value of CDKN2A in head and neck squamous cell carcinoma via pathomics and machine learning.

This study aims to enhance the prognosis prediction of Head and Neck Squamous Cell Carcinoma (HNSCC) by employing artificial intelligence (AI) to analyse CDKN2A gene expression from pathology images, directly correlating with patient outcomes. Our approach introduces a novel AI-driven pathomics framework, delineating a more precise relationship between CDKN2A expression and survival rates compared to previous studies. Utilizing 475 HNSCC cases from the TCGA database, we stratified patients into high-risk and low-risk groups based on CDKN2A expression thresholds. Through pathomics analysis of 271 cases with available slides, we extracted 465 distinctive features to construct a Gradient Boosting Machine (GBM) model. This model was then employed to compute Pathomics scores (PS), predicting CDKN2A expression levels with validation for accuracy and pathway association analysis. Our study demonstrates a significant correlation between higher CDKN2A expression and improved median overall survival (66.73 months for high expression vs. 42.97 months for low expression, p = 0.013), establishing CDKN2A's prognostic value. The pathomic model exhibited exceptional predictive accuracy (training AUC: 0.806; validation AUC: 0.710) and identified a strong link between higher Pathomics scores and cell cycle activation pathways. Validation through tissue microarray corroborated the predictive capacity of our model. Confirming CDKN2A as a crucial prognostic marker in HNSCC, this study advances the existing literature by implementing an AI-driven pathomics analysis for gene expression evaluation. This innovative methodology offers a cost-efficient and non-invasive alternative to traditional diagnostic procedures, potentially revolutionizing personalized medicine in oncology.

Design and Biological Evaluation of the Long-Acting C5-Inhibited Ornithodoros moubata Complement Inhibitor (OmCI) Modified with Fatty Acid.

Disorder of complement response is a significant pathogenic factor causing some autoimmune and inflammation diseases. The Ornithodoros moubata Complement Inhibitor (OmCI), a small 17 kDa natural protein, was initially extracted from soft tick salivary glands. The protein was found binding to complement C5 specifically, inhibiting the activation of the complement pathway, which is a successful therapeutic basis of complement-mediated diseases. However, a short half-life due to rapid renal clearance is a common limitation of small proteins for clinical application. In this study, we extended the half-life of OmCI by modifying it with fatty acid, which was a method used to improve the pharmacokinetics of native peptides and proteins. Five OmCI mutants were initially designed, and single-site cysteine mutation was introduced to each of them. After purification, four OmCI mutants were obtained that showed similar in vitro biological activities. Three mutants of them were subsequently coupled with different fatty acids by nucleophilic substitution. In total, 15 modified derivatives were screened and tested for anticomplement activity in vitro. The results showed that coupling with fatty acid would not significantly affect their complement-inhibitory activity (CH50 and AH50). OmCIT90C-CM02 and OmCIT90C-CM05 were validated as the applicable OmCI bioconjugates for further pharmacokinetic assessments, and both showed improved plasma half-life in mice compared with unmodified OmCI (15.86, 17.96 vs 2.57 h). In summary, our data demonstrated that OmCI conjugated with fatty acid could be developed as the potential long-acting C5 complement inhibitor in the clinic.

Aptamer-based fluorescent sensor for highly sensitive detection of methamphetamine.

The construction of a fluorescence aptamer sensor was achieved by employing the fundamental principle of fluorescence resonance energy transfer. By employing molecular modeling technologies to identify the binding site, the high-affinity aptamer APT-40nt was derived from the whole sequence and utilized on the graphene oxide (GO) fluorescent platform for the purpose of achieving a highly sensitive detection of methamphetamine (METH). The aptamer tagged with fluorescein (FAM) dye undergoes quenching in the presence of GO due to π-stacking interaction. With the addition of the target, the aptamer that has been tagged was detached from the GO surface, forming a stable complex with METH. This process resulted in fluorescence restoration of the system, and the degree of fluorescence restoration was proportional to METH concentration in the linear range of 1-50 and 50-200 nM. Notably, under optimized conditions, the detection limit of this aptasensor was as low as 0.78 nM, which meets the detection limit requirements of METH detection in saliva and urine in some countries and regions. Moreover, other common illicit drugs and metabolites had minimizing interference with the determination. The established aptasensor, therefore, has been successfully applied to detect METH in saliva and urine samples and exhibited satisfactory recoveries (87%-111%). This aptasensor has the advantages of low detection limit, excellent selectivity, ease of operation, and low cost, providing a promising strategy for on-site detection of METH in saliva and urine.

Does omega-3 PUFA-enriched oral nutritional intervention benefit cancer patients receiving chemo (radio) therapy? A systematic review and meta-analysis of randomized controlled trials.

Although data indicate omega-3 polyunsaturated fatty acids are beneficial nutrients in cancer therapy, the evidences for efficacy of nutritional interventions during chemo (radio) therapy are still limited. The leading goal of the present meta-analysis was to summarize randomized controlled trials involving the administration of ω-3 PUFA-enriched oral nutritional supplements during chemo (radio) therapy, and evaluate the effects on nutritional status and clinical outcomes in patients. We systematically searched PubMed, Embase, Web of Science, Cochrane databases to identify interventions assessing body weight, BMI, immune and inflammatory indicators, plasma omega-3 fatty acids and adverse events, with subgroup analyses for region, types of ω-3 fatty acids, dose, duration and dosage form. In total, 22 studies including 1155 participants met the inclusion criteria. Meta-analysis showed a significant increase in body weight (BW) (WMD = 0.59 kg, 95% CI: 0.06, 1.13, P = 0.03), body mass index (BMI) (WMD = 0.43 kg/m2, 95% CI: 0.07, 0.79, P = 0.02), and plasma total ω-3 fatty acids (SMD = 2.52, 95% CI: 1.27, 3.78, P<0.0001), and a significant reduction in plasma levels of C-reactive protein (CRP) (SMD= -0.53, 95% CI: -0.80, -0.25, P = 0.0001), tumor necrosis factor-α (TNF-α) (WMD = -0.40 pg/mL, 95% CI: -0.80, -0.01, P = 0.05), interleukin 6 (IL-6) (WMD = -1.25 pg/mL, 95% CI: -2.41, -0.10, P = 0.03) and the incidence of adverse events (RR= 0.72, 95% CI: 0.54, 0.95, P = 0.02). However, plasma albumin levels (WMD = 0.02 mg/dL, 95% CI: -0.13, 0.18, P = 0.75) was remained unaffected. Overall, our meta-analysis provides evidences that the consumption of ω-3 PUFA-enriched oral nutritional supplements exert beneficial effects on nutritional status and clinical outcomes in patients undergoing chemo (radio) therapy.

Does omega-3 PUFAs supplementation improve metabolic syndrome and related cardiovascular diseases? A systematic review and meta-analysis of randomized controlled trials.

Literature is inconsistent regarding the effects of omega-3 polyunsaturated fatty acids (omega-3 PUFAs) supplementation on patients with metabolic syndrome (MetS) and related cardiovascular diseases (CVDs). Therefore, the aim of this systematic review and meta-analysis is to summarize data from available randomized controlled trials (RCTs) on the effect of omega-3 PUFAs on lipid profiles, blood pressure, and inflammatory markers. We systematically searched PubMed, Embase, and Cochrane Library databases to identify the relevant RCTs until 1 November 2022. Weighed mean difference (WMD) was combined using a random-effects model. Standard methods were applied to assess publication bias, sensitivity analysis, and heterogeneity among included studies. A total of 48 RCTs involving 8,489 subjects met the inclusion criteria. The meta-analysis demonstrated that omega-3 PUFAs supplementation significantly reduced triglyceride (TG) (WMD: -18.18 mg/dl; 95% CI: -25.41, -10.95; p < 0.001), total cholesterol (TC) (WMD: -3.38 mg/dl; 95% CI: -5.97, -0.79; p = 0.01), systolic blood pressure (SBP) (WMD: -3.52 mmHg; 95% CI: -5.69, -1.35; p = 0.001), diastolic blood pressure (DBP) (WMD: -1.70 mmHg; 95% CI: -2.88, -0.51; p = 0.005), interleukin-6 (IL-6) (WMD: -0.64 pg/ml; 95% CI: -1.04, -0.25; p = 0.001), tumor necrosis factor-α (TNF-α) (WMD: -0.58 pg/ml; 95% CI: -0.96, -0.19; p = 0.004), C-reactive protein (CRP) (WMD: -0.32 mg/l; 95% CI: -0.50, -0.14; p < 0.001), and interleukin-1 (IL-1) (WMD: -242.95 pg/ml; 95% CI: -299.40, -186.50; p < 0.001), and significantly increased in high-density lipoprotein (HDL) (WMD: 0.99 mg/dl; 95% CI: 0.18, 1.80; p = 0.02). However, low-density lipoprotein (LDL), monocyte chemoattractant protein-1 (MCP-1), intracellular adhesion molecule-1 (ICAM-1), and soluble endothelial selectin (sE-selectin) were not affected. In subgroup analyses, a more beneficial effect on overall health was observed when the dose was ≤ 2 g/day; Omega-3 PUFAs had a stronger anti-inflammatory effect in patients with CVDs, particularly heart failure; Supplementation with omega-3 PUFAs was more effective in improving blood pressure in MetS patients and blood lipids in CVDs patients, respectively. Meta-regression analysis showed a linear relationship between the duration of omega-3 PUFAs and changes in TG (p = 0.023), IL-6 (p = 0.008), TNF-α (p = 0.005), and CRP (p = 0.025). Supplementation of omega-3 PUFAs had a favorable effect on improving TG, TC, HDL, SBP, DBP, IL-6, TNF-α, CRP, and IL-1 levels, yet did not affect LDL, MCP-1, ICAM-1, and sE-selectin among patients with MetS and related CVDs.

Synthesis of eicosapentaenoic acid-enriched medium- and long-chain triglyceride by lipase-catalyzed transesterification: a novel strategy for clinical nutrition intervention.

BACKGROUND: Eicosapentaenoic acid (EPA) has been recognized as a promising nutrient to improve therapeutic efficacy for cancer patients. Nevertheless, there are certain limitations to the application of EPA due to its structural characteristics. To maximize the nutritive value of EPA, a type of medium- and long-chain triacylglycerol (MLCT) enriched with EPA was designed and synthesized using the lipase-catalyzed transesterification of medium-chain triglyceride (MCT) and EPA-enriched fish oil (FO). RESULTS: The optimum synthesis conditions for EPA-enriched MLCT used Lipozyme RM as catalyst, and had a substrate mass ratio (MCT/EPA-enriched FO) of 3:1, lipase loading of 80 g kg-1 , a reaction temperature of 60 °C, and a reaction time of 6 h. The MLCT content was as high as 80.79% after the transesterification reaction and the purification, and the content of MLCT containing EPA accounted for 70.21%. The distribution of EPA at the sn-2 position showed a significant increase in MLCT compared with the original substrate, from 18.89% to 26.93%. The in vitro digestion results demonstrated that MLCT had a significantly higher EPA bioaccessibility than the original substrate. CONCLUSION: Eicosapentaenoic acid-enriched MLCT was developed. This may provide a novel strategy for clinical nutritional intervention. © 2023 Society of Chemical Industry.

Ratiometric fluorimetric and colorimetric probe for sensing and imaging pH changes in living cells.

Cell, enzyme, and tissue activity in living organisms are closely related to intracellular pH. Detecting the changes of intracellular pH is important to understanding the physiological and pathological changes in the process of crucial cell metabolism. A pH probe (HTBI) based on hemicyanine was synthesized. The probe solution displayed a marked colour change from yellow to amaranth with the pH increase from neutral to basic; simultaneously, the emission spectra showed a significant red shift. The probe exhibited a ratiometric fluorescence emission (F586nm /F542nm ) characteristic of pKa 8.82. As expected, HTBI exhibited high sensitivity and selectivity for pH, fine photostability, reversibility, and low cytotoxicity. Therefore, it would be a very useful tool for measuring the intracellular pH changes.

New perspective toward nutritional support for malnourished cancer patients: Role of lipids.

To improve the difficulties related to malnutrition, nutritional support has become an essential part of multidisciplinary comprehensive treatment for cancer. Lipids are essential nutrient source for the human body, and nowadays in clinical practices, it has a positive interventional effect on patients suffering from cancer. However, contribution of lipids in nutritional support of cancer patients is still poorly understood. Moreover, the sensory and physicochemical properties of lipids can severely restrict their applications in lipid-rich formula foods. In this review article, for the first time, we have presented a summary of the existing studies which were related to the associations between different lipids and improved malnutrition in cancer patients and discussed possible mechanisms. Subsequently, we discussed the challenges and effective solutions during processing of lipids into formula foods. Further, by considering existing problems in current lipid nutritional support, we proposed a novel method for the treatment of malnutrition, including developing individualized lipid nutrition for different patients depending on the individual's genotype and enterotype. Nonetheless, this review study provides a new direction for future research on nutritional support and the development of lipid-rich formula foods for cancer patients, and probably will help to improve the efficacy of lipids in the treatment of cancer malnutrition.

The brains of aged mice are characterized by altered tissue diffusion properties and cerebral microbleeds.

BACKGROUND: Brain aging is a major risk factor in the progression of cognitive diseases including Alzheimer's disease (AD) and vascular dementia. We investigated a mouse model of brain aging up to 24 months old (mo). METHODS: A high field (11.7T) MRI protocol was developed to characterize specific features of brain aging including the presence of cerebral microbleeds (CMBs), morphology of grey and white matter, and tissue diffusion properties. Mice were selected from age categories of either young (3 mo), middle-aged (18 mo), or old (24 mo) and fed normal chow over the duration of the study. Mice were imaged in vivo with multimodal MRI, including conventional T2-weighted (T2W) and T2*-weighted (T2*W) imaging, followed by ex vivo diffusion-weighted imaging (DWI) and T2*W MR-microscopy to enhance the detection of microstructural features. RESULTS: Structural changes observed in the mouse brain with aging included reduced cortical grey matter volume and enlargement of the brain ventricles. A remarkable age-related change in the brains was the development of CMBs found starting at 18 mo and increasing in total volume at 24 mo, primarily in the thalamus. CMBs presence was confirmed with high resolution ex vivo MRI and histology. DWI detected further brain tissue changes in the aged mice including reduced fractional anisotropy, increased radial diffusion, increased mean diffusion, and changes in the white matter fibers visualized by color-coded tractography, including around a large cortical CMB. CONCLUSIONS: The mouse is a valuable model of age-related vascular contributions to cognitive impairment and dementia (VCID). In composite, these methods and results reveal brain aging in older mice as a multifactorial process including CMBs and tissue diffusion alterations that can be well characterized by high field MRI.

Downregulation of lncRNA ANRIL represses tumorigenicity and enhances cisplatin-induced cytotoxicity via regulating microRNA let-7a in nasopharyngeal carcinoma.

Many studies have demonstrated that upregulation of long non-coding RNA (lncRNA) antisense non-coding RNA in the INK4 locus (ANRIL) plays an oncogenic role in various tumors, including nasopharyngeal carcinoma (NPC). The aim of this study is to explore the effect of ANRIL in NPC progression and cisplatin (DDP)-induced cytotoxicity. The results showed that ANRIL was highly expressed and let-7a was downregulated in NPC tissues and cells. Luciferase assay revealed that ANRIL could negatively regulate miR-let-7a expression. ANRIL knockdown inhibited NPC cell proliferation and induced apoptosis, while anti-let-7a reversed these effects. Combination treatment of si-ANRIL and DDP led to a lower viability, a more DNA strand breaks damage and a higher comet tail length compared with any single treatment, whereas let-7a inhibitor abolished these effects. Furthermore, depletion of ANRIL exacerbated DDP-induced cytotoxicity in NPC cells in vivo. Taken together, these data indicated that knockdown of ANRIL represses tumorigenicity and enhances DDP-induced cytotoxicity via regulating microRNA let-7a in NPC cells, providing a promising therapeutic strategy for NPC patients.

Trends and research foci in immunoregulatory mechanisms of allergic rhinitis: a bibliometric analysis (2014-2024).

Background: This study aims to provide a comprehensive bibliometric analysis of research trends, hotspots, and future directions in the immunoregulatory mechanisms of allergic rhinitis (AR) from 2014 to 2024. Methods: Data were sourced from the Web of Science Core Collection (WoSCC), covering articles and reviews published between April 1, 2014, and March 31, 2024. The search terms included "Allergic Rhinitis," "AR," and related terms along with specific keywords related to immune cells and inflammatory mediators. Bibliometric tools such as CiteSpace, VOSviewer, and SCImago Graphica were used to analyze institutional cooperation networks, keyword co-occurrence, citation bursts, and research topic evolution. Microsoft Excel 2019 was employed to display annual publication trends. Results: A total of 2200 papers met the inclusion and exclusion criteria. The number of publications showed an upward trend over the past decade, with a significant peak in 2021. China (583 papers) and the United States (454 papers) were the major contributing countries. Imperial College London emerged as the leading institution. Key research frontiers identified include the roles of NF kappa B and air pollution in AR. Keyword burst analysis revealed emerging topics such as respiratory allergy and personalized treatment strategies. Notable limitations include the exclusive use of the WoSCC database and the restriction to English-language publications. Conclusion: The field of immunoregulatory mechanisms in allergic rhinitis has seen significant growth, with China and the United States leading the research. Future research should focus on developing personalized treatment plans and understanding the comprehensive impact of environmental factors. Continued interdisciplinary collaboration and international cooperation will be essential for advancing therapeutic strategies in AR.

Enzyme-aided amplification strategy for sensitive detection of methamphetamine based on fluorescence aptamer sensor.

Methamphetamine (METH) abuse poses a serious risk to human health and social stability. It is critical to develop sensitive and selective methods for detecting METH. Here, we develop a fluorescence aptamer sensor to detect METH based on DNA exonuclease III (Exo III), graphene oxide (GO), and FAM-labeled aptamer. First, the sensor used GO's strong binding capacity to adsorb and quench the fluorescence of the aptamer attached to GO surface. When METH was added to the system, the formation of stable complex for aptamer and METH dissociated from the surface of GO, leading to a fluorescence restoration. Then, the fluorescence signal was further amplified by using Exo III to liberate target METH for cyclic hybridization. And the gel electrophoresis experiment further verified the reliability of this strategy. This aptamer sensor exhibited a low detection limit (0.52 nM) and excellent selectivity under optimal conditions. Notably, this sensor has been successfully validated in the detection of METH in urine and saliva samples, exhibited commendable recovery (94.00-104.65%). Its benefits include facile, sensitive, and rapid. Expected to be used in practical METH detection.

Multicenter Integration of MR Radiomics, Deep Learning, and Clinical Indicators for Predicting Hepatocellular Carcinoma Recurrence After Thermal Ablation.

Background: To develop and validate an innovative predictive model that integrates multisequence magnetic resonance (MR) radiomics, deep learning features, and clinical indicators to accurately predict the recurrence of hepatocellular carcinoma (HCC) after thermal ablation. Methods: This retrospective multicenter cohort study enrolled patients who were diagnosed with HCC and treated via thermal ablation. We extracted radiomic features from multisequence 3T MR images, analyzed these images using a 3D convolutional neural network (3D CNN), and incorporated clinical data into the model. Model performance was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. Results: The study included 535 patients from three hospitals, comprising 462 males and 43 females. The RDC model, which stands for the Radiomics-Deep Learning-Clinical data model, demonstrated high predictive accuracy, achieving AUCs of 0.794 in the training set, 0.777 in the validation set, and 0.787 in the test set. Statistical analysis confirmed the model's robustness and the significant contribution of the integrated features to its predictive capabilities. Conclusion: The RDC model effectively predicts HCC recurrence after thermal ablation by synergistically combining advanced imaging analysis and clinical parameters. This study highlights the potential of such integrative approaches to enhance prognostic assessments in HCC patients and offers a promising tool for clinical decision-making.

Association of erythrocyte fatty acid compositions with the risk of pancreatic cancer: A case-control study.

Pancreatic cancer (PC) is one of the most fatal malignancies, which has attracted scientists to investigate its etiology and pathogenesis. Nevertheless, the association between erythrocyte fatty acids and PC risk remains unclear. This study aimed to evaluate the association between levels of erythrocyte fatty acids and PC risk. The erythrocyte fatty acid compositions of 105 PC patients and 120 controls were determined by gas chromatography. Cases and controls were frequency matched by age and sex. Multivariable conditional logistic regression model and restricted cubic spline were applied to estimate the odds ratio with 95% confidence interval (OR, 95% CI) of erythrocyte fatty acids and PC risk. Our main findings indicated a significant negative association between levels of erythrocyte total monounsaturated fatty acids (MUFA) and n-3 polyunsaturated fatty acids (n-3 PUFA) and the risk of PC (ORT3-T1 = 0.30 [0.14, 0.63] and ORT3-T1 = 0.15 [0.06, 0.33], respectively). In contrast, erythrocyte n-6 polyunsaturated fatty acids, specifically linoleic acid (LA) and arachidonic acid (AA) levels, were positively associated with PC incidence (RT1-T3 = 4.24 [1.97, 9.46] and ORT1-T3 = 4.53 [2.09, 10.20]). Total saturated fatty acid (SFA), especially high levels of palmitic acid (16:0), was positively associated with the risk of PC (ORT3-T1 = 3.25 [1.53, 7.08]). Our findings suggest that levels of different types of fatty acids in erythrocytes may significantly alter PC susceptibility. Protective factors against PC include unsaturated fatty acids such as n-3 PUFA and MUFA.

Climate and soil stressed elevation patterns of plant species to determine the aboveground biomass distributions in a valley-type Savanna.

Introduction: Extreme environments such as prolonged high temperatures and droughts can cause vulnerability of vegetation ecosystems. The dry-hot valleys of Southwestern China, known for their extremely high annual temperature, lack of water, and unique non-zonal "hot island" habitat in the global temperate zone, provide exceptional sites for studying how plant adapts to the prolonged dry and hot environment. However, the specific local biotic-environment relationships in these regions remain incompletely elucidated. The study aims to evaluate how valley-type Savanna vegetation species and their communities adapt to long-term drought and high-temperature stress environments. Methods: The study investigated the changes in species diversity and communities' aboveground biomass of a valley-type Savanna vegetation along an elevation gradient of Yuanmou dry-hot valley in Jinsha River basin, southwest China. Subsequently, a general linear model was utilized to simulate the distribution pattern of species diversities and their constituent biomass along the elevation gradient. Finally, the RDA and VPH mothed were used to evaluate the impacts and contributions of environmental factors or variables on the patterns. Results and discussion: The field survey reveals an altitudinal gradient effect on the valley-type Savanna, with a dominant species of shrubs and herbs plants distribution below an elevation of 1700m, and a significant positive relationship between the SR, Shannon-Wiener, Simpson, and Pielou indices and altitudes. Relatively, the community aboveground biomass did not increase significantly with elevation, which was mainly due to a decreased biomass of herbaceous plants along the elevation. Different regulators of shrub-herbaceous plant species and their functional groups made different elevation patterns of species diversity and aboveground biomass in valley-type Savannas. Herbaceous plants are responsible for maintaining species diversity and ensuring stability in the aboveground biomass of the vegetation. However, the influence of shrubs on aboveground biomass became more pronounced as environmental conditions varied along the altitudinal gradient. Furthermore, species diversity was mainly influenced by soil and climatic environmental factors, whereas community biomass was mainly regulated by plant species or functional groups. The study demonstrates that the spatial pattern of valley-type Savanna was formed as a result of different environmental responses and the productive capacity of retained plant species or functional groups to climate-soil factors, highlighting the value of the Yuanmou dry-hot Valley as a microcosm for exploring the intricate interactions between vegetation evolution and changes in environmental factors.

The structure of triglycerides impacts the digestibility and bioaccessibility of nutritional lipids during in vitro simulated digestion.

The triglyceride (TAG) structure of lipids may affect their nutritional properties by affecting the process of digestion and absorption. In this paper, a mixture of medium-chain triglycerides and long-chain triglycerides (PM) and medium- and long-chain triglycerides (MLCT) were selected to explore the effects of triglyceride structure on in vitro digestion and bioaccessibility. The results showed that MLCT released more free fatty acids (FFAs) than PM (99.88% vs 92.82%, P < 0.05). The first-order rate constant for FFA release from MLCT was lower than that for PM (0.0395 vs 0.0444 s-1, P < 0.05), which suggests that the rates of PM digestion were faster than those of MLCT. Our results demonstrated that DHA and EPA were more bioaccessible from MLCT than from PM. These results highlighted the important role of TAG structure in regulation of lipid digestibility and bioaccessibility.

Automatic detection and recognition of nasopharynx gross tumour volume (GTVnx) by deep learning for nasopharyngeal cancer radiotherapy through magnetic resonance imaging.

BACKGROUND: In this study, we propose the deep learning model-based framework to automatically delineate nasopharynx gross tumor volume (GTVnx) in MRI images. METHODS: MRI images from 200 patients were collected for training-validation and testing set. Three popular deep learning models (FCN, U-Net, Deeplabv3) are proposed to automatically delineate GTVnx. FCN was the first and simplest fully convolutional model. U-Net was proposed specifically for medical image segmentation. In Deeplabv3, the proposed Atrous Spatial Pyramid Pooling (ASPP) block, and fully connected Conditional Random Field(CRF) may improve the detection of the small scattered distributed tumor parts due to its different scale of spatial pyramid layers. The three models are compared under same fair criteria, except the learning rate set for the U-Net. Two widely applied evaluation standards, mIoU and mPA, are employed for the detection result evaluation. RESULTS: The extensive experiments show that the results of FCN and Deeplabv3 are promising as the benchmark of automatic nasopharyngeal cancer detection. Deeplabv3 performs best with the detection of mIoU 0.8529 ± 0.0017 and mPA 0.9103 ± 0.0039. FCN performs slightly worse in term of detection accuracy. However, both consume similar GPU memory and training time. U-Net performs obviously worst in both detection accuracy and memory consumption. Thus U-Net is not suggested for automatic GTVnx delineation. CONCLUSIONS: The proposed framework for automatic target delineation of GTVnx in nasopharynx bring us the desirable and promising results, which could not only be labor-saving, but also make the contour evaluation more objective. This preliminary results provide us with clear directions for further study.

Characteristics of Cephalotaxus fortunei kernel oil and its digestion behaviors.

Cephalotaxus fortunei, a potential underutilized oil resource, contains various active ingredients that exert positive effects on human health. In the present study, characteristics of C. fortunei kernel oil and its digestion properties were systematically investigated. Results indicated that C. fortunei kernels contained high oil content (64.59%), of which over 90% was triacylglycerols (TAGs). The kernel oil was rich in oleic acid (C18:1n-9, 42.88%), linoleic acid (C18:2n-6, 31.05%), and sciadonic acid (C20:3n-6, 10.78%). The kernel oil also contained some beneficial fat-soluble nutrients, such as tocopherols (143 mg/kg) and phytosterols (1474 mg/kg). Thirty-five kinds of TAGs were identified, among which O-O-L (17.96%), O-O-O (12.12%), L-L-O (11.79%), O-L-Et (8.59%), and O-O-Et (8.76%) were the most abundant. In vitro digestion experiments showed that after 120 min of small intestine digestion, the maximum FFAs release level of the kernel oil was 75.02%, which was lower than that of soybean oil (89.63%).

Forensic toxicokinetics of difenidol hydrochloride in vivo verified by practical lethal cases.

A gas chromatography-mass spectrometry (GC-MS) method for the determination of difenidol hydrochloride in biological specimens has been developed. The method exhibited excellent recovery (> 90%) and precision (RSD < 10%), and the LOD was 0.05 µg/mL or µg/g, which met the requirements of bioanalytical method. Through the animal model of the forensic toxicokinetics, the dynamic distribution, postmortem redistribution (PMR) and stability in specimen preservation process of difenidol in animals were studied. The experimental results showed that after intragastric administration, the difenidol's concentrations in the heart-blood and various organs increased over time except stomach, and then decreased gradually after reaching the peaks of concentration. The toxicological kinetics equation and toxicokinetic parameters were established by processing the data of the mean drug concentration of difenidol changing with time. In PMR experiment, the concentrations of difenidol in some organs closer to the gastrointestinal tract (heart-blood, heart, liver, lung, kidney, and spleen) changed significantly at different time points. But the concentration of difenidol in brain tissues which were far away from the gastrointestinal tract and muscles with larger overall mass was relatively stable. PMR of difenidol was therefore confirmed. Thus, the effect of PMR on the concentration of difenidol in the specimens should be considered in cases involving difenidol poisoning or death. Furthermore, the stability of difenidol in heart-blood samples from poisoned rats was investigated at various time points and under different preservation conditions (20 °C, 4 °C, - 20 °C and 20 °C (1% NaF)) for a period of two months. Difenidol was stable and did not decompose in the preserved blood. Therefore, this study provided the experimental basis for the forensic identification of the cases of difenidol hydrochloride poisoning (death). PMR has been verified by practical lethal cases.