Inhibitory Effect and Potential Antagonistic Mechanism of Isolated Epiphytic Yeasts against Botrytis cinerea and Alternaria alternata in Postharvest Blueberry Fruits.

This study evaluated the biocontrol effect of isolated epiphytic yeasts (Papiliotrema terrestris, Hanseniaspora uvarum, and Rhodosporidium glutinis) against Botrytis cinerea and Alternaria alternata in blueberry fruits and its possible mechanisms. Our findings indicated that the three tested yeasts exerted a good biocontrol effect on postharvest diseases in blueberry, and that H. uvarum was the most effective. In addition, the three tested yeasts could improve the postharvest storage quality of blueberry fruits to some extent. H. uvarum demonstrated the strongest direct inhibitory effect on pathogens by suppressing spore germination, mycelial growth, and antifungal volatile organic compound (VOC) production. P. terrestris showed the highest extracellular lytic enzymes activities. It also had better adaptation to low temperature in fruit wounds at 4 °C. The biofilm formation capacity was suggested to be the main action mechanism of R. glutinis, which rapidly colonized fruit wounds at 20 °C. Several action mechanisms are employed by the superb biocontrol yeasts, while yeast strains possess distinctive characteristics and have substantially different action mechanisms.

Deep learning-assisted diagnosis of benign and malignant parotid tumors based on ultrasound: a retrospective study.

BACKGROUND: To develop a deep learning(DL) model utilizing ultrasound images, and evaluate its efficacy in distinguishing between benign and malignant parotid tumors (PTs), as well as its practicality in assisting clinicians with accurate diagnosis. METHODS: A total of 2211 ultrasound images of 980 pathologically confirmed PTs (Training set: n = 721; Validation set: n = 82; Internal-test set: n = 89; External-test set: n = 88) from 907 patients were retrospectively included in this study. The optimal model was selected and the diagnostic performance evaluation is conducted by utilizing the area under curve (AUC) of the receiver-operating characteristic(ROC) based on five different DL networks constructed at varying depths. Furthermore, a comparison of different seniority radiologists was made in the presence of the optimal auxiliary diagnosis model. Additionally, the diagnostic confusion matrix of the optimal model was calculated, and an analysis and summary of misjudged cases' characteristics were conducted. RESULTS: The Resnet18 demonstrated superior diagnostic performance, with an AUC value of 0.947, accuracy of 88.5%, sensitivity of 78.2%, and specificity of 92.7% in internal-test set, and with an AUC value of 0.925, accuracy of 89.8%, sensitivity of 83.3%, and specificity of 90.6% in external-test set. The PTs were subjectively assessed twice by six radiologists, both with and without the assisted of the model. With the assisted of the model, both junior and senior radiologists demonstrated enhanced diagnostic performance. In the internal-test set, there was an increase in AUC values by 0.062 and 0.082 for junior radiologists respectively, while senior radiologists experienced an improvement of 0.066 and 0.106 in their respective AUC values. CONCLUSIONS: The DL model based on ultrasound images demonstrates exceptional capability in distinguishing between benign and malignant PTs, thereby assisting radiologists of varying expertise levels to achieve heightened diagnostic performance, and serve as a noninvasive imaging adjunct diagnostic method for clinical purposes.

Joint 2D-3D cross-pseudo supervision for carotid vessel wall segmentation.

Introduction: The segmentation of the carotid vessel wall using black-blood magnetic resonance images was a crucial step in the diagnosis of atherosclerosis. The objective was to accurately isolate the region between the artery lumen and outer wall. Although supervised learning methods achieved remarkable accuracy in vessel segmentation, their effectiveness remained limited due to their reliance on extensive labeled data and human intervention. Furthermore, when confronted with three-dimensional datasets featuring insufficient and discontinuous label data, these learning-based approaches could lose their efficacy. In this paper, we proposed a novel Joint 2D-3D Cross-Pseudo Supervision (JCPS) method for accurate carotid vessel wall segmentation. Methods: In this study, a vascular center-of-gravity positioning module was developed to automatically estimate the region of blood vessels. To achieve accurate segmentation, we proposed a joint 2D-3D semi-supervised network to model the three-dimensional continuity of vascular structure. In addition, a novel loss function tailored for vessel segmentation was introduced, consisting of four components: supervision loss, cross-pseudo supervision loss, pseudo label supervision loss, and continuous supervision loss, all aimed at ensuring the accuracy and continuity of the vessel structure. In what followed, we also built up a user-friendly Graphical User Interface based on our JCPS method for end-users. Results: Our proposed JCPS method was evaluated using the Carotid Artery Vessel Wall Segmentation Challenge dataset to assess its performance. The experimental results clearly indicated that our approach surpassed the top 10 methods on the leaderboard, resulting in a significant enhancement in segmentation accuracy. Specifically, we achieved an average Dice similarity coefficient increase from 0.775 to 0.806 and an average quantitative score improvement from 0.837 to 0.850, demonstrating the effectiveness of our proposed JCPS method for carotid artery vessel wall segmentation. Conclusion: The experimental results suggested that the JCPS method had a high level of generalization performance by producing pseudo labels that were comparable with software annotations for data-imbalanced segmentation tasks.

Effects of a novel medium-long-medium-type structured lipid synthesized using a two-step enzymatic method on lipid metabolism and obesity protection in experimental mice.

We synthesized a novel, structured lipid containing caprylic acid at its sn-1,3 position and docosahexaenoic acid at its sn-2 position (1,3C-2D-TAG) by using a two-step enzymatic method and then investigated the relationship between the types of fatty acids in the structured lipid and their physiological functions. Furthermore, we compared the effects of similarly structured lipids on postprandial lipid metabolism and obesity protection. The results revealed that the novel structured lipid synthesized using the enzymatic method not only exhibited better physical properties than traditional oils but also had high oxidation stability and crystallization degree. In terms of physiological function, the low-dose 1,3C-2D-TAG group exhibited higher cholesterol and triglyceride levels, lower kidney weight or body weight, and higher serum aspartate aminotransferase and blood urea nitrogen levels than control group, whereas the high-dose 1,3C-2D-TAG group exhibited higher triglyceride levels. Moreover, the medium-dose 1,3C-2D-TAG group had remarkably higher high-density lipoprotein cholesterol levels and lower low-density lipoprotein cholesterol levels than the high-lipid, control, and 1,2,3C-TAG groups; however, the cholesterol and triglyceride levels and kidney and liver functions did not differ significantly among these groups. The study results suggest that 1,3C-2D-TAG can not only facilitate the effective utilization of the energy supplied by medium-chain fatty acids but also help overcome difficulties in the absorption of long-chain polyunsaturated fatty acids.

Evaluation of passion fruit mesocarp flour on the paste, dough, and quality characteristics of dried noodles.

Reasonable intake of high-fiber staple food is already one of the most effective measures in fiber deficiency disease prevention and control. Passion fruit mesocarp flour (PFMF), the primary byproduct during passion fruit processing, was utilized to manufacture high-fiber dried noodles. The presence of PFMF boosted wheat flour gelatinization and retrogradation. The competition for water between PFMF and wheat flour inhibited the formation of the gluten network, which harmed the cooking properties and decreased consumer acceptance of the resulting dried noodles. Nevertheless, PFMF fortification could considerably increase the dietary fiber content of noodles. Especially for noodles with 9% PFMF, the total dietary fiber content was greater than 6%, and they thus could be regarded as a high-dietary-fiber food. Generally, the current work demonstrates the feasibility of fabricating PFMF-enriched dried noodles and their nutritional superiority compared to the corresponding normal product.

Advances in antiobesity mechanisms of capsaicin.

Obesity is a global epidemic that affects the lives and health of millions of people. The prevention and treatment of obesity have become a significant public health challenge worldwide. Numerous studies showed that the gut microbiota is associated with the development of obesity, and the regulatory mechanisms mediating the relationship between gut microbiota and obesity have become an intense research area. Capsaicin is a vanilla amide alkaloid that is an active ingredient in pepper. Much research demonstrated the antiobesity activity of capsaicin. This article reviews recent research on the antiobesity mechanisms of capsaicin involving alterations of the gut microbial composition, reduction of intestinal permeability, and regulation of the microbiome-gut-brain axis. This summary will establish a basis for further developing capsaicin as an ingredient in medications and health products.

Analysis of changes in volatile constituents and expression of genes involved in terpenoid metabolism in oleocellosis peel.

Oleocellosis is a serious physiological disorder in citrus fruit that mainly results in appearance and quality deterioration. It has been well established that the occurrence of oleocellosis is highly correlated with the release of peel oil from citrus fruit, while there is little information on the dynamic changes in the content of the volatile constituents and the expression of genes involved in terpenoid metabolism during oleocellosis development. In the present research, large changes in the volatile profiles and gene expression in terpenoid metabolism were observed in oleocellosis peels compared to healthy ones. Among volatiles, the decreased contents of α-pinene, d-limonene, ß-myrcene, linalool, ß-caryophyllene, α-terpineol, nonanal, neryl acetate and (-)-carvone played a major role in these changes. For gene expressions in terpenoid metabolism, the up-regulated genes aldehyde dehydrogenase (NAD+) (ALDH) and the down-regulated genes ß-caryophyllene synthase 1 (BCS1), α-terpineol synthase 2 (TES2) and myrcene synthase (MS) were the main differences in oleocellosis peels.

Exogenous nitric oxide-induced postharvest disease resistance in citrus fruit to Colletotrichum gloeosporioides.

BACKGROUND: Nitric oxide (NO) is an important signaling molecule involved in numerous plant responses to biotic and abiotic stresses. To investigate the effects of NO on the control of postharvest anthracnose caused by Colletotrichum gloeosporioides in citrus fruit and its possible mechanisms, citrus fruit were treated with an NO donor. RESULTS: The results showed that exogenous NO released from 50 µmol L(-1) sodium nitroprusside aqueous solution could effectively reduce the disease incidence and lesion diameter of citrus fruit inoculated with C. gloeosporioides during storage at 20 °C. Exogenous NO could regulate hydrogen peroxide levels, stimulate the synthesis of phenolic compounds, and induce phenylalanine ammonia-lyase, peroxidase, polyphenol oxidase, catalase activities, and the ascorbate-glutathione cycle. Furthermore, exogenous NO could inhibit weight loss, improve the ascorbic acid and titratable acidity content, and delay the increase in total soluble solids content in citrus fruit during storage at 20 °C. CONCLUSIONS: The results suggest that the use of exogenous NO is a potential method for inducing the disease resistance of fruit to fungal pathogens and for extending the postharvest life of citrus fruit.