Latent Profiles of Coronavirus-Related Health Literacy in Chinese Residents and Its Related Predictors.

OBJECTIVES: This study aimed to explore the latent profiles of coronavirus-related health literacy among Chinese residents and investigate whether some predictive factors are linked with different latent subgroups of coronavirus-related health literacy. DESIGN/SETTING: This study was a cross-sectional survey conducted among Chinese residents beginning in April 2020. PARTICIPANTS: A total of 1610 Chinese residents aged 15 to 69 years were involved and were asked to complete the questionnaire about coronavirus-related health literacy, demographic information, and COVID-19 pandemic-related information. MAIN OUTCOME MEASURE: Examined the latent profiles of coronavirus-related health literacy and explored the influencing factors of different profiles of coronavirus-related health literacy. RESULTS: The results showed that there were 3 latent subgroups, namely, high coronavirus-related health literacy (45.53%), medium coronavirus-related health literacy (47.76%), and low coronavirus-related health literacy (6.71%). Logistic regression analysis showed that gender, education, and the frequency of exposure to news about the pandemic could predict group membership. CONCLUSIONS: Most Chinese residents have medium coronavirus-related health literacy. Education is an important factor that has a long-term stable influence on coronavirus-related health literacy, and the frequency of exposure to news about the pandemic is a factor that can improve coronavirus-related health literacy in a short time.

Bridge the gap caused by public health crises: medical humanization and communication skills build a psychological bond that satisfies patients.

BACKGROUND: Patient satisfaction is an important outcome domain of patient-centered care. Medical humanization follows the patient-centered principle and provides a more holistic view to treat patients. The COVID-19 pandemic posed significant barriers to maintaining medical humanization. However, empirical study on the relationship between medical humanization and patient satisfaction is clearly absent. OBJECTIVES: We examined the mediation effects of communication on the relationship between medical humanization and patient satisfaction when faced with a huge public health crisis like the COVID-19 pandemic, and the moderation effect of medical institutional trust on the mediation models. METHODS: A cross-sectional survey study was performed. A final sample size of 1445 patients was surveyed on medical humanization, communication, patient satisfaction and medical institutional trust. RESULTS: All correlations were significantly positive across the main variables (r = 0.35-0.67, p < 0.001 for all) except for medical institutional trust, which was negatively correlated with the medical humanization (r=-0.14, p < 0.001). Moderated mediation analysis showed that the indirect effect of medical humanization on patient satisfaction through communication was significant (b = 0.22, 95% CI: 0.18 ~ 0.25). Medical institutional trust significantly moderated the effect of medical humanization on patient satisfaction (b=-0.09, p < 0.001) and the effect of medical humanization on communication (b= -0.14, p < 0.001). CONCLUSION: Medical humanization positively influence patient satisfaction, communication mediated the association between medical humanization and patient satisfaction, and medical institutional trust negatively moderated the effects of medical humanization on patient satisfaction and communication. These findings suggest that humanistic communication contributes to patient satisfaction in the face of a huge public health crisis, and patients' evaluation of satisfaction is also regulated by rational cognition.

Cross-lagged relationship between sleep quality and sense of coherence and the moderating role of mastery in older adults.

The aims of this study were to explore the predictive relationship between sleep quality and sense of coherence (SOC) and to examine a possible moderating role of mastery in this relationship. A three-wave longitudinal design was employed using a sample of 304 older adults aged 55-87 years old. Cross-lagged panel analyses and moderating effect analyses showed that sleep quality can predict the levels of SOC 6 months later, whereas SOC cannot predict sleep quality 6 months later. In addition, mastery can moderate the effect of sleep quality on SOC. Specifically, the lagged effects of sleep quality on SOC in older adults who had low levels of mastery were stronger than in those who had high levels of mastery. Overall, these findings provide valuable insights for understanding the predictive relationship between sleep quality and SOC and emphasise the moderating role of mastery. Also, our results offer important implications for enhancing the SOC in older adults by improving sleep quality and mastery.

The impact of COVID-19 on health literacy among Chinese rural residents.

The outbreak of the Coronavirus disease 2019 (COVID-19) pandemic is an opportunity to improve the health literacy of rural residents. This study aims to explore the levels of health literacy among rural residents during the COVID-19 pandemic and investigate the effects of COVID-19-related variables on the health literacy of rural residents. A total of 882 rural residents aged 15-69 years in Shaanxi province participated in this study and completed the questionnaires about health literacy and COVID-19-related variables. These results showed that although overall health literacy and three aspects of health literacy among rural residents were low and lower than those of Chinese national residents, there was no significant difference in health literacy about safety and emergency between rural residents and Chinese national residents. Additionally, COVID-19-related variables significantly predicted health literacy (i.e. scientific health, safety and emergency and infectious disease prevention). Importantly, unlike other types of health literacy, the effect of a COVID-19-related variable (i.e. the frequency of exposure to news about the COVID-19 pandemic) on infectious disease prevention was only slightly smaller than the effect of high education on infectious disease prevention, and low education was no longer a significant predictor of infectious disease prevention. To conclude, rural residents in Shaanxi province have low health literacy. Education is a major factor affecting the health literacy of rural residents, and the frequency of exposure to news about the pandemic may compensate for the negative impact of low education on health literacy.

Chuanxiong improves angiogenesis via the PI3K/AKT/Ras/MAPK pathway based on network pharmacology and DESI-MSI metabolomics.

Introduction: Chuanxiong, a traditional Chinese medicine, has been proved to treat a variety of cardiovascular and cerebrovascular diseases by promoting angiogenesis. However, the mechanisms of Chuanxiong's pro-angiogenesis is currently unknown. This study aimed to uncover the effect and mechanisms of Chuanxiong promoting angiogenesis in vivo and in vitro. Methods: First, potential targets were predicted by network pharmacology analysis, and PPI network was established and the pathways were enriched. Then, the chorioallantoic membrane test on quails was applied to assess the proangiogenic effects in vivo. As well, to evaluate the effects in vitro, real-time PCR, western blot analysis, the scratch test, and the tube formation experiment were used. Subsequently, the major metabolic pathways were analyzed using non-targeted metabolomics. Results: As a result of network pharmacological analysis, 51 collective targets of Chuanxiong and angiogenesis were identified, which are mainly associated with PI3K/AKT/Ras/MAPK pathway. And the biological verification results showed that Chuanxiong could increase the vessel numbers and vessel area in qCAM models. Meanwhile, Chuanxiong contributed to HUVEC proliferation, tube formation, migration, by encouraging scratch healing rates and boosting tube branch points. In addition, the levels of VEGFR2, MAPK and PI3K were elevated compared to the control group. The western blot analysis also confirmed Chuanxiong could promote an increase in AKT, FOXO1 and Ras. Furtheremore, metabolomic results showed that the proangiogenic effect of Chuanxiong is associated with glycine, serine and threonine metabolism. Discussion: In conclusion, this study clarified that Chuanxiong could promote angiogenesis in vivo and in vitro via regulating PI3K/AKT/Ras/MAPK pathway.

Systems pharmacology and GC-MS metabolomics reveal the efficacy and mechanisms of zedoary oil on acute liver injury induced by oxidative stress.

BACKGROUND: Zedoray oil (ZO) is the main component of Curcuma zedoaria, one traditional herb used for dispersing stasis clinically in China. Previously, the potential of ZO was discovered against lethal and acute liver injury (ALI) mice with little impact on the immune, which deserved further study. METHODS: An approach combined systems pharmacology with GC-MS metabolomics was applied for predicting pathways affected by ZO. Subsequently, H2O2 and tertbutyl hydroperoxide (t-BHP) were respectively applied to induce the ALI model in vitro for validation. RESULTS: First, systems pharmacology and intracellular metabolites suggested that ZO might regulate oxidative stress via PI3K/Akt/FoxO1 pathway, TCA cycle, pantothenate, and CoA biosynthesis, beta-alanine metabolism, and propanoate metabolism. Further, levels of ALT, AST, ROS, T-AOC, MDA, GR, ΔΨm, and related proteins affected by ZO had been detected to validate the above mechanisms using dual cell models. CONCLUSION: ZO could protect the L02 cells against ALI by regulating the PI3K/Akt/FoxO1 pathway, as well as restore the function of mitochondria and redox imbalance damaged by toxicants. This work has uncovered the nonimmune mechanisms of ZO against ALI to provide the basis for relevant research and disease treatment.

Comparative transcriptomic analysis reveals potential mechanisms for high tolerance to submergence in arbor willows.

BACKGROUND: Submergence threatens plant growth and survival by decreasing or eliminating oxygen supply. Uncovering the complex regulatory network underlying the tolerance of Salix to submergence and identifying the key regulators are important for molecular-assisted breeding of Salix. METHODS: In this study, we screened germplasm resources of arbor willows and discovered both submergence-tolerant and submergence-sensitive varieties. Then, by performing RNA-seq, we compared the differences between the transcriptomes of two varieties, i.e., the submergence-tolerant variety "Suliu 795" and the submergence-sensitive variety "Yanliu No. 1," and the different submergence treatment time points to identify the potential mechanisms of submergence in Salix and the unique approaches by which the variety "Suliu 795" possessed a higher tolerance compared to "Yanliu No. 1". RESULTS: A total of 22,790 differentially expressed genes were identified from 25 comparisons. Using gene ontology annotation and pathway enrichment analysis, the expression pattern of transcriptional factors, important players in hormone signaling, carbohydrate metabolism, and the anaerobic respiration pathway were found to differ significantly between the two varieties. The principal component analysis and qRT-PCR results verified the reliability of the RNA sequencing data. The results of further analysis indicated that "Suliu 795" had higher submergence tolerant activity than "Yanliu No. 1" because of three characteristics: (1) high sensitivity to the probable low oxygen stress and initiation of appropriate responding mechanisms in advance; (2) maintenance of energy homeostasis to prevent energy depletion under hypoxic stress; and (3) keep "quiescence" through fine-tuning the equilibrium between phytohormones GA, SA and ethylene.

A Crop Image Segmentation and Extraction Algorithm Based on Mask RCNN.

The wide variety of crops in the image of agricultural products and the confusion with the surrounding environment information makes it difficult for traditional methods to extract crops accurately and efficiently. In this paper, an automatic extraction algorithm is proposed for crop images based on Mask RCNN. First, the Fruits 360 Dataset label is set with Labelme. Then, the Fruits 360 Dataset is preprocessed. Next, the data are divided into a training set and a test set. Additionally, an improved Mask RCNN network model structure is established using the PyTorch 1.8.1 deep learning framework, and path aggregation and features are added to the network design enhanced functions, optimized region extraction network, and feature pyramid network. The spatial information of the feature map is saved by the bilinear interpolation method in ROIAlign. Finally, the edge accuracy of the segmentation mask is further improved by adding a micro-fully connected layer to the mask branch of the ROI output, employing the Sobel operator to predict the target edge, and adding the edge loss to the loss function. Compared with FCN and Mask RCNN and other image extraction algorithms, the experimental results demonstrate that the improved Mask RCNN algorithm proposed in this paper is better in the precision, Recall, Average precision, Mean Average Precision, and F1 scores of crop image extraction results.

Infection by the parasitic helminth Trichinella spiralis activates a Tas2r-mediated signaling pathway in intestinal tuft cells.

The parasitic helminth Trichinella spiralis, which poses a serious health risk to animals and humans, can be found worldwide. Recent findings indicate that a rare type of gut epithelial cell, tuft cells, can detect the helminth, triggering type 2 immune responses. However, the underlying molecular mechanisms remain to be fully understood. Here we show that both excretory-secretory products (E-S) and extract of T. spiralis can stimulate the release of the cytokine interleukin 25 (IL-25) from the mouse small intestinal villi and evoke calcium responses from tuft cells in the intestinal organoids, which can be blocked by a bitter-taste receptor inhibitor, allyl isothiocyanate. Heterologously expressed mouse Tas2r bitter-taste receptors, the expression of which is augmented during tuft-cell hyperplasia, can respond to the E-S and extract as well as to the bitter compound salicin whereas salicin in turn can induce IL-25 release from tuft cells. Furthermore, abolishment of the G-protein γ13 subunit, application of the inhibitors for G-protein αo/i, Gßγ subunits, and phospholipase Cß2 dramatically reduces the IL-25 release. Finally, tuft cells are found to utilize the inositol triphosphate receptor type 2 (Ip3r2) to regulate cytosolic calcium and thus Trpm5 activity, while potentiation of Trpm5 by a sweet-tasting compound, stevioside, enhances tuft cell IL-25 release and hyperplasia in vivo. Taken together, T. spiralis infection activates a signaling pathway in intestinal tuft cells similar to that of taste-bud cells, but with some key differences, to initiate type 2 immunity.

Effects of Taste Signaling Protein Abolishment on Gut Inflammation in an Inflammatory Bowel Disease Mouse Model.

Inflammatory bowel disease (IBD) is one of the immune-related gastrointestinal disorders, including ulcerative colitis and Crohn's disease, that affects the life quality of millions of people worldwide. IBD symptoms include abdominal pain, diarrhea, and rectal bleeding, which may result from the interactions among gut microbiota, food components, intestinal epithelial cells, and immune cells. It is of particular importance to assess how each key gene expressed in intestinal epithelial and immune cells affects inflammation in the colon. G protein-coupled taste receptors, including G protein subunit α-gustducin and other signaling proteins, have been found in the intestines. Here, we use α-gustducin as a representative and describe a dextran sulfate sodium (DSS)-induced IBD model to evaluate the effect of gustatory gene mutations on gut mucosal immunity and inflammation. This method combines gene knockout technology with the chemically induced IBD model, and thus can be applied to assess the outcome of gustatory gene nullification as well as other genes that may exuberate or dampen the DSS-induced immune response in the colon. Mutant mice are administered with DSS for a certain period during which their body weight, stool, and rectal bleeding are monitored and recorded. At different timepoints during administration, some mice are euthanized, then the sizes and weights of their spleens and colons are measured and gut tissues are collected and processed for histological and gene expression analyses. The data show that the α-gustducin knockout results in excessive weight loss, diarrhea, intestinal bleeding, tissue damage, and inflammation vs. wild-type mice. Since the severity of induced inflammation is affected by mouse strains, housing environment, and diet, optimization of DSS concentration and administration duration in a pilot experiment is particularly important. By adjusting these factors, this method can be applied to assess both anti- and pro-inflammatory effects.

Biomimetic Sensors for the Senses: Towards Better Understanding of Taste and Odor Sensation.

Taste and smell are very important chemical senses that provide indispensable information on food quality, potential mates and potential danger. In recent decades, much progress has been achieved regarding the underlying molecular and cellular mechanisms of taste and odor senses. Recently, biosensors have been developed for detecting odorants and tastants as well as for studying ligand-receptor interactions. This review summarizes the currently available biosensing approaches, which can be classified into two main categories: in vitro and in vivo approaches. The former is based on utilizing biological components such as taste and olfactory tissues, cells and receptors, as sensitive elements. The latter is dependent on signals recorded from animals' signaling pathways using implanted microelectrodes into living animals. Advantages and disadvantages of these two approaches, as well as differences in terms of sensing principles and applications are highlighted. The main current challenges, future trends and prospects of research in biomimetic taste and odor sensors are discussed.