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1.
Bioact Mater ; 20: 306-317, 2023 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-35755423

RESUMO

Vascular endothelial growth factor (VEGF) plays a vital role in promoting attachment and proliferation of endothelial cells, and induces angiogenesis. In recent years, much research has been conducted on functionalization of tissue engineering scaffolds with VEGF or VEGF-mimetic peptide to promote angiogenesis. However, most chemical reactions are nonspecific and require organic solvents, which can compromise control over functionalization and alter peptide/protein activity. An attractive alternative is the fabrication of functionalizable electrospun fibers, which can overcome these hurdles. In this study, we used thiol-ene chemistry for the conjugation of a VEGF-mimetic peptide to the surface of poly (ε-caprolactone) (PCL) fibrous scaffolds with varying amounts of a functional PCL-diacrylate (PCL-DA) polymer. 30% PCL-DA was selected due to homogeneous fiber morphology. A VEGF-mimetic peptide was then immobilized on PCL-DA fibrous scaffolds by a light-initiated thiol-ene reaction. 7-Mercapto-4-methylcoumarin, RGD-FITC peptide and VEGF-TAMRA mimetic peptide were used to validate the thiol-ene reaction with fibrous scaffolds. Tensile strength and elastic modulus of 30% PCL-DA fibrous scaffolds were significantly increased after the reaction. Conjugation of 30% PCL-DA fibrous scaffolds with VEGF peptide increased the surface water wettability of the scaffolds. Patterned structures could be obtained after using a photomask on the fibrous film. Moreover, in vitro studies indicated that scaffolds functionalized with the VEGF-mimetic peptide were able to induce phosphorylation of VEGF receptor and enhanced HUVECs survival, proliferation and adhesion. A chick chorioallantoic membrane (CAM) assay further indicated that the VEGF peptide functionalized scaffolds are able to promote angiogenesis in vivo. These results show that scaffold functionalization can be controlled via a simple polymer mixing approach, and that the functionalized VEGF peptide-scaffolds have potential for vascular tissue regeneration.

2.
Comput Human Behav ; 138: 107479, 2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-36091923

RESUMO

Taking advantage of 3 million English-language posts by Facebook public pages, this study answers the following questions: How did the amount of COVID-19 vaccine-related messages evolve? How did the moral expressions in the messages differ among sources? How did both the sources and the five moral foundations in posts influence the number of likes to posts, after controlling for the public page's features (e.g., age, followers)? Our research findings suggest that moral expression is prevalent in the COVID-19 vaccination posts, surpassing nonmoral content. Media sources, despite the high volume of posts, on average elicited fewer likes than all other sources. Although care and fairness were the two most used moral foundations, they were negatively related to likes. In contrast, the least used two moral values of authority and sanctity were positively related to likes. We conclude with a discussion of theoretical contributions and a recommendation of possible interventions.

3.
Bioact Mater ; 20: 53-63, 2023 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-35633871

RESUMO

A combination of the viscoelastic properties of hyaluronic acid (HA) and the elastic properties of star shaped 8-arm poly(ethylene glycol) (8-arm PEG) was used to design in-situ forming hydrogels. Hydrogels were prepared by the enzymatic crosslinking of a partially tyramine modified 8-arm PEG and a tyramine conjugated HA using horseradish peroxidase in the presence of hydrogen peroxide. Hydrogels of the homopolymer conjugates and mixtures thereof were rapidly formed within seconds under physiological conditions at low polymer and enzyme concentrations. Elastic hydrogels with high gel content (≥95%) and high storage moduli (up to 22.4 kPa) were obtained. An in vitro study in the presence of hyaluronidase (100 U/mL) revealed that with increasing PEG content the degradation time of the hybrid hydrogels increased up to several weeks, whereas hydrogels composed of only hyaluronic acid degraded within 2 weeks. Human mesenchymal stem cells (hMSCs) incorporated in the hybrid hydrogels remained viable as shown by a PrestoBlue and a live-dead assay, confirming the biocompatibility of the constructs. The production of an extracellular matrix by re-differentiation of encapsulated human chondrocytes was followed over a period of 28 days. Gene expression indicated that these highly elastic hydrogels induced an enhanced production of collagen type II. At low PEG-TA/HA-TA ratios a higher expression of SOX 9 and ACAN was observed. These results indicate that by modulating the ratio of PEG/HA, injectable hydrogels can be prepared applicable as scaffolds for tissue regeneration applications.

4.
Gene ; 850: 146953, 2023 Jan 20.
Artigo em Inglês | MEDLINE | ID: mdl-36243214

RESUMO

The mechanisms of chemoreception in fig wasps (Hymenoptera, Agaonidae) are of primary importance in their co-evolutionary relationship with the fig trees they pollinate. We used transcriptome sequences of 25 fig wasps in six genera that allowed a comparative approach to the evolution of key molecular components of fig wasp chemoreception: their odorant (OR) and gustatory (GR) receptor genes. In total, we identified 311 ORs and 47 GRs, with each species recording from 5 to 30 OR genes and 1-4 GR genes. 304 OR genes clustered into 18 orthologous groups known to be sensitive to cuticular hydrocarbons (CHC), pheromones, acids, alcohols and a variety of floral scents such as cineole, Linalool, and Heptanone. 45 GR genes clustered into 4 orthologous groups that contain sweet, bitter, CO2 and undocumented receptors. Gene sequences in most orthologous groups varied greatly among species, except for ORco (60.0% conserved) and sweet receptors (30.7% conserved). Strong purifying selection of both odorant and gustatory genes was detected, as shown by low ω values. Signatures of positive selection were detected in loci from both OR and GR orthologous groups. Fig wasps have relatively few olfactory and especially gustatory receptors, reflecting the natural history of the system. Amino acid sequences nonetheless vary significantly between species and are consistent with the phylogenetic relationships among fig wasps. The differences in ORs within some orthologous groups from the same species, but different hosts and from closely related species from one host can reach as low as 49.3% and 9.8% respectively, implying the ORs of fig wasps can evolve rapidly to novel ecological environments. Our results provide a starting point for understanding the molecular basis of the chemosensory systems of fig wasps.


Assuntos
Ficus , Vespas , Animais , Vespas/genética , Ficus/genética , Filogenia , Eucaliptol , Dióxido de Carbono , Simbiose , Feromônios , Polinização
5.
Talanta ; 251: 123738, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-35921743

RESUMO

Natural products, especially alkaloids, are one of the most valuable, potential drug leads in drug discovery. As an efficient tool for complex samples, two-dimensional liquid chromatography (2D-LC) has become a powerful means of analysis and separation of natural alkaloids. Method development of 2D-LC is of great importance because it helps to enhance the selectivity, resolution and peak capacity of a separation system. However, due to the diversity of the nature and subclasses of natural alkaloids, peak tailing occurs frequently, making alkaloid separation complicated and time-consuming. To conquer such difficulties, we proposed a guide for column selection and combination in 2D-LC so as to improve the alkaloid separation. Based on a comprehensive evaluation of applicability and orthogonality of several columns, this guide would provide a simple but clear starting point for column selection of 2D-LC method development. The evaluation included seven columns to involve most separation mechanisms reported in alkaloid separation, and 49 natural alkaloid standards of various subclasses and natures. Detailed studies of peak shapes of every column were carried out as well, providing useful references to better understand the peak tailing issues of some analytes on specific columns. Subsequently, a 2D-LC method was developed using our guide to isolate an alkaloid sample from U. rhynchophylla, generating symmetrical peaks and a high orthogonality of 80.3%. Further, this evaluation process would help to have a quick understanding when a new stationary phase is designed.


Assuntos
Alcaloides , Produtos Biológicos , Alcaloides/análise , Cromatografia Líquida de Alta Pressão , Cromatografia Líquida/métodos , Descoberta de Drogas , Padrões de Referência
6.
Mater Today Bio ; 17: 100484, 2022 Dec 15.
Artigo em Inglês | MEDLINE | ID: mdl-36388460

RESUMO

Second-generation androgen receptor (AR) inhibitors such as enzalutamide are the first-line treatments for castration-resistant prostate cancer (CRPC). Resistance to enzalutamide will greatly increase the difficulty of prostate cancer treatment and reduce the survival time of patients. However, drug-resistant cancer cells seem to be more sensitive to ferroptosis. Therefore, we constructed a biomimetic tumor-targeting magnetic lipid nanoparticle (t-ML) to codeliver dihomo-γ-linolenic acid (DGLA) and 2,4-dienoyl-CoA reductase 1 (DECR1) siRNA (t-ML@DGLA/siDECR1). DGLA is a dietary polyunsaturated fatty acid (PUFA), while DECR1 is overexpressed in prostate cancer and can inhibit the generation of PUFAs. The combination of DGLA and siDECR1 can efficiently induce ferroptosis by peroxidation of PUFAs, which has been verified both in vitro and in vivo. With the assistance of an external magnet, t-ML showed good tumor targeting ability and biocompatibility, and t-ML@DGLA/siDECR1 exhibited significant ferroptosis induction and tumor suppression capabilities. Moreover, in a nude mouse model of prostate cancer fed on a high-fat diet (HFD), there was no distant organ metastasis when the tumor-bearing mice were treated with t-ML@DGLA/siDECR1 and an external magnet, with upregulated PUFAs and downregulated monounsaturated fatty acids (MUFAs). Hence, this study has broadened the way of treating drug-resistant prostate cancer based on ferroptosis induction.

7.
Artigo em Inglês | MEDLINE | ID: mdl-36383582

RESUMO

The existing multiview clustering models learn a consistent low-dimensional embedding either from multiple feature matrices or multiple similarity matrices, which ignores the interaction between the two procedures and limits the improvement of clustering performance on multiview data. To address this issue, a bidirectional probabilistic subspaces approximation (BPSA) model is developed in this article to learn a consistently orthogonal embedding from multiple feature matrices and multiple similarity matrices simultaneously via the disturbed probabilistic subspace modeling and approximation. A skillful bidirectional fusion strategy is designed to guarantee the parameter-free property of the BPSA model. Two adaptively weighted learning mechanisms are introduced to ensure the inconsistencies among multiple views and the inconsistencies between bidirectional learning processes. To solve the optimization problem involved in the BPSA model, an iterative solver is derived, and a rigorous convergence guarantee is provided. Extensive experimental results on both toy and real-world datasets demonstrate that our BPSA model achieves state-of-the-art performance even if it is parameter-free.

8.
Front Mol Biosci ; 9: 956720, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36387284

RESUMO

To develop a deep image segmentation model that automatically identifies and delineates lesions of skeletal metastasis in bone scan images, facilitating clinical diagnosis of lung cancer-caused bone metastasis by nuclear medicine physicians. A semi-supervised segmentation model is proposed, comprising the feature extraction subtask and pixel classification subtask. During the feature extraction stage, cascaded layers which include the dilated residual convolution, inception connection, and feature aggregation learn the hierarchal representations of low-resolution bone scan images. During the pixel classification stage, each pixel is first classified into categories in a semi-supervised manner, and the boundary of pixels belonging to an individual lesion is then delineated using a closed curve. Experimental evaluation conducted on 2,280 augmented samples (112 original images) demonstrates that the proposed model performs well for automated segmentation of metastasis lesions, with a score of 0.692 for DSC if the model is trained using 37% of the labeled samples. The self-defined semi-supervised segmentation model can be utilized as an automated clinical tool to detect and delineate metastasis lesions in bone scan images, using only a few manually labeled image samples. Nuclear medicine physicians need only attend to those segmented lesions while ignoring the background when they diagnose bone metastasis using low-resolution images. More images of patients from multiple centers are typically needed to further improve the scalability and performance of the model via mitigating the impacts of variability in size, shape, and intensity of bone metastasis lesions.

9.
Artigo em Inglês | MEDLINE | ID: mdl-36395136

RESUMO

Feature selection is an important and effective data preprocessing method, which can remove the noise and redundant features while retaining the relevant and discriminative features in high-dimensional data. In real-world applications, the relationships between data samples and their labels are usually nonlinear. However, most of the existing feature selection models focus on learning a linear transformation matrix, which cannot capture such a nonlinear structure in practice and will degrade the performance of downstream tasks. To address the issue, we propose a novel nonlinear feature selection method to select those most relevant and discriminative features in high-dimensional dataset. Specifically, our method learns the nonlinear structure of high-dimensional data by a neural network with cross entropy loss function, and then using the structured sparsity norm such as l2,p -norm to regularize the weights matrix connecting the input layer and the first hidden layer of the neural network model to learn weight of each feature. Therefore, a structural sparse weights matrix is obtained by conducting nonlinear learning based on a neural network with structured sparsity regularization. Then, we use the gradient descent method to achieve the optimal solution of the proposed model. Evaluating the experimental results on several synthetic datasets and real-world datasets shows the effectiveness and superiority of the proposed nonlinear feature selection model.

10.
Artigo em Inglês | MEDLINE | ID: mdl-36395137

RESUMO

Spectral clustering (SC) has been widely used in many applications and shows excellent performance. Its high computational cost limits its applications; many strategies including the anchor technique can partly alleviate the high computational cost problem. However, early methods ignore the fact that SC usually involves two stages: relaxation and postprocessing, i.e., it relaxes the discrete constraints to continuous constraints, and then conducts the postprocessing to get the discrete solution, which is time-consuming and deviates from directly solving the primal problem. In this article, we first adopt the bipartite graph strategy to reduce the time complexity of SC, and then an improved coordinate descent (CD) method is proposed to solve the primal problem directly without singular value decomposition (SVD) and postprocessing, i.e., directly solving the primal problem not approximately solving. Experiments on various real-world benchmark datasets show that the proposed method can get better solutions faster with better clustering performance than traditional optimization methods. Furthermore, it can jump out of local minima of traditional methods and continue to obtain better local solutions. Moreover, compared with other clustering methods, it also shows its superiority.

11.
Front Plant Sci ; 13: 1002724, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36407581

RESUMO

Chloridoideae is one of the largest subfamilies of Poaceae, containing many species of great economic and ecological value; however, phylogenetic relationships among the subtribes and genera of Cynodonteae are controversial. In the present study, we combined 111 plastomes representing all five tribes, including 25 newly sequenced plastomes that are mostly from Cynodonteae. Phylogenetic analyses supported the five monophyletic tribes of Chloridoideae, including Centropodieae, Triraphideae, Eragrostideae, Zoysieae and Cynodonteae. Simultaneously, nine monophyletic lineages were revealed in Cynodonteae: supersubtribe Boutelouodinae, subtribes Tripogoninae, Aeluropodinae, Eleusininae, Dactylocteniinae, supersubtribe Gouiniodinae, Cleistogenes and Orinus, and subtribe Triodiinae. Within the tribe of Cynodonteae, the basal lineage is supersubtribe Boutelouodinae and Tripogoninae is sister to the remaining lineages. The clade formed of Aeluropodinae and Eleusininae is sister to the clade composed of Dactylocteniinae, supersubtribe Gouiniodinae, Cleistogenes and Orinus, and subtribe Triodiinae. The clade comprising Dactylocteniinae and supersubtribe Gouiniodinae is sister to the clade comprising Cleistogenes, Orinus, and Triodiinae. Acrachne is a genus within Eleusininae but not within Dactylocteniinae. Molecular evidence determined that Diplachne is not clustered with Leptochloa, which indicated that Diplachne should not be combined into Leptochloa. Cleistogenes is sister to a clade composed of Orinus and Triodia, whereas the recently proposed subtribe Orininae was not supported. Cynodonteae was estimated to have experienced rapid divergence within a short period, which could be a major obstacle in resolving its phylogenetic relationships. Ancestral state reconstructions of morphological characters showed that the most recent common ancestor (MRCA) of Chloridoideae has a panicle, multiple florets in each spikelet, the peaked type of stomatal subsidiary cells, and a saddle-shaped phytoliths, while the ancestral morphological characters of Cynodonteae are the panicle, peaked type of stomatal subsidiary cells, sharp-cap cell typed and equal-base-cell microhair, and square-shaped phytoliths. Overall, plastome phylogenomics provides new insights into the phylogenetic relationships and morphological character evolution of Chloridoideae.

12.
ACS Omega ; 7(45): 40990-41000, 2022 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-36406582

RESUMO

This work established a three-dimensional model of a chemical looping system with multistage reactors coupled with hydrodynamics and chemical reactions. The thermal characteristics in the chemical looping combustion (CLC) system were simulated using coal as fuel and hematite as an oxygen carrier (OC). Some significant aspects, including gas composition, particle residence time, backmixing rate, wall erosion, carbon capture rate, etc., were investigated in the simulation. Owing to the optimization by adding baffles in the fuel reactor (FR), the gas conversion capacity of the multistage FR was high, where the outlet CO2 concentration was as high as 93.8% and the oxygen demand was as low as 3.8%. Through tracing and analyzing the path of char particles, we found that the residence time of most char particles was too short to be fully gasified. The residual char will be entrained into the air reactor (AR), reducing the CO2 capture rate, which is only 80.3%. In the simulation, the wall erosion on the cyclone could be relieved by increasing the height of the horizontal pipe. In addition, improving the structure of the AR loop seal could control the residual char entrained by OC particles to the AR, and the CO2 capture rate was increased up to 90% in the multistage CLC reactor.

13.
Neurochem Int ; 162: 105437, 2022 Nov 04.
Artigo em Inglês | MEDLINE | ID: mdl-36336089

RESUMO

The periaqueductal gray (PAG) is an important relay center for the descending pathways that regulate nociceptive information transduction. Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels play critical roles in the nerve injury-induced pain hypersensitivity. Previous studies have identified that HCN1 and HCN2 channel protein located in the ventral-lateral periaqueductal gray (vlPAG), a region important for pain regulation. However, it is not clear whether the HCN channel in vlPAG is involved in bone cancer pain (BCP). In this study, we assessed the role of HCN channels in BCP by measuring changes of HCN channel expression and activity in vlPAG neurons in bone cancer rats. In the present study, the BCP model was established by injecting SHZ-88 breast cancer cells into the right tibia bone marrow in rats. The mechanical withdrawal threshold (MWT) and thermal withdrawal latency (TWL) were measured to evaluate pain behavior in rats. HCN1 and HCN2 channels expression in vlPAG were detected by using Western Blot and immunohistochemistry. In addition, the cAMP level in vlPAG neurons was detected by ELISA, and HCN channel current (Ih) of vlPAG neurons was recorded by whole cell patch-clamp to evaluate HCN channel activity. As a result, decreased MWT and TWL were observed in rats on 7d after SHZ-88 cell inoculation, and the allodynia was sustained until 21d after inoculation. At the same time, HCN1 and HCN2 channels expression and neuronal Ih in vlPAG were significantly increased in BCP rats. In addition, the level of cAMP in vlPAG also increased after SHZ-88 cell inoculation. Furthermore, intravlPAG injection of ZD7288 (HCN channels antagonist) could significantly reduce hyperalgesia and the elevation of cAMP in vlPAG in BCP rats. Our observations suggest that the elevation of cAMP may promote the activation of HCN channels in vlPAG in bone cancer rats, thereby promoting the development of bone cancer pain.

14.
Artigo em Inglês | MEDLINE | ID: mdl-36342996

RESUMO

The principal subspace estimation is directly connected to dimension reduction and is important when there is more than one principal component of interest. In this paper, we introduce two new algorithms to solve the feature-sparsity constrained PCA problem (FSPCA) for the principal subspace estimation task, which performs feature selection and PCA simultaneously. Existing optimization methods for FSPCA require data distribution assumptions and are lack of global convergence guarantee. Though the general FSPCA problem is NP-hard, we show that, for a low-rank covariance, FSPCA can be solved globally (Algorithm 1). Then, we propose another strategy (Algorithm 2) to solve FSPCA for the general covariance by iteratively building a carefully designed proxy. We prove (data-dependent) approximation bound and regular stationary convergence guarantees for the new algorithms. For the spectrum of covariance with exponential/Zipf's distribution, we provide exponential/posynomial approximation bounds. Constructive examples and numerical results are provided to demonstrate the tightness of our results. Experimental results show the promising performance and efficiency of the new algorithms compared with the state-of-the-arts on both synthetic and real-world datasets.

15.
Ann Med ; 54(1): 3306-3314, 2022 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-36411585

RESUMO

BACKGROUND: Linked colour imaging (LCI) is a novel new image-enhanced endoscopy (IEE) technology that produces bright and vivid images. The aim of this study was to assess the ability of LCI to improve the diagnostic accuracy of early gastric cancer (EGC) relative to white light imaging (WLI). MATERIALS AND METHODS: We performed this study on patients undergoing screening endoscopy from 12 medical institutions in China. Patients were randomly assigned to receive WLI followed by LCI or LCI followed by WLI. The primary outcome was to compared the diagnostic accuracy between LCI and WLI for EGC/high-grade intraepithelial neoplasms. Secondary outcomes included the numbers of suspicious lesions, neoplastic lesions and examination time by using LCI detected versus using WLI. RESULTS: A total of 1924 patients were randomly selected, and 1828 were included in the analysis. The diagnostic accuracy for EGC, which was 78.8% by using LCI and 68.4% by using WLI (p < .0001). More suspicious lesions were detected by LCI than by WLI (n = 1235 vs. 1036, p = .031), especially among differentiated EGC (p = .013). LCI greatly shortened the examination time compared with WLI (p = .019). CONCLUSIONS: LCI has better accuracy and shorter examination time in diagnosing EGC than WLI (Clinical trial registration: NCT03092414).Key messagesCompared with white light imaging (WLI), the diagnostic accuracy, sensitivity and specificity increased by using LCI.More lesions were detected by LCI alone than by WLI alone, especially among differentiated EGC.LCI may be used as a screening tool for routine clinical observation.


Assuntos
Neoplasias Gástricas , Humanos , Neoplasias Gástricas/diagnóstico por imagem , Neoplasias Gástricas/patologia , Cor , Estudos Prospectivos , Detecção Precoce de Câncer , Luz
16.
Zhong Nan Da Xue Xue Bao Yi Xue Ban ; 47(10): 1425-1434, 2022 Oct 28.
Artigo em Inglês, Chinês | MEDLINE | ID: mdl-36411694

RESUMO

OBJECTIVES: Patients from different social environments and cultural backgrounds have different nursing needs. If nurses ignore the cultural differences of patients, it is easy to lead to the strained nurse-patient relationship, affect the nursing effect and cause harm to patients. Critical cultural competence (CCC) can help nurses to meet the nursing needs of patients from different cultural backgrounds, which is beneficial to building a harmonious nurse-patient relationship and improving the quality of nursing. Almutairi, et al designed the Critical Cultural Competence Scale (CCCS) which can be used to evaluate accurately nurses' CCC. No studies have reported the development of a critical cultural competence measurement tool for nurses or the introduction of foreign scales in China. This study aims to conduct Chinese and cross-cultural debugging and test the reliability of the English version of the CCCS in order to form CCCS suitable for Chinese cultural background and provide an effective evaluation tool for investigating the current situation of clinical nurses' CCC. METHODS: This study used Brislin's back-translation model to translate and back-translation the English version of CCCS. The Chinese version of CCCS was then created through cross-cultural debugging by expert consultation and a pre-survey with a sample size of 30 clinical nurses. From August to October 2019, 580 clinical nurses were surveyed using a whole group sampling method. The participants were randomly divided into 2 groups with a 7꞉3 ratio. One group (n=406) was used for exploratory factor analysis and reliability analysis, while the other group (n=174) was used for confirmatory factor analysis. Six experts used the scale-level content validity index (S-CVI) and the item-level content validity index (I-CVI) to assess content validity. In the exploratory factor analysis, items were screened using the critical ratio method, and were tested using the KMO (Kalser-Meyer-Olkin) index, Bartlett's sphericity test, and principal component analysis. In the confirmatory factor analysis, average variance extracted (AVE), goodness of fit index (GFI), adjusted goodness of fit index (AGFI), and root mean square error of approximation (RMSEA) were used to assess the degree of fit of the constructed model. For the total scale and the 4 subscales, the Cronbach's α coefficient, split-half reliability, and retest reliability were used to assess the scale's reliability. RESULTS: The S-CVI was 0.930, while the I-CVI ranged from 0.833 to 0.944. For all items, the critical ratio exceeded 3, and the difference between the high and low subgroups was statistically significant (P<0.05). Exploratory factor analysis revealed critical knowledge subscale had a KMO value of 0.676, with the total scale and other 3 subscales all having a KMO value >0.8 and a chi-square value of 814.32 to 12 442.45 for the Bartlett's spherical test, with degree of freedom ranging from 21 to 136 (P<0.001), indicating that all items were suitable for factor analysis. The principal component analysis showed that 17, 12, 7, and 7 items were extracted from the 4 subscales, with 4, 3, 2, and 2 components whose eigenvalues were more than 1, and the cumulative variance contribution was 66.0%, 54.3%, 56.6%, and 70.2%, respectively. The confirmatory factor analysis showed that the AVE of the 4 subscales were 0.637, 0.499, 0.560, and 0.565, GFI was 0.904, AGFI was 0.863, and RMSEA was 0.076. The Cronbach's α coefficient for the total scale and subscales ranged from 0.811 to 0.878, the split-half reliability ranged from 0.707 to 0.842, and the retest reliability was 0.827. CONCLUSIONS: The Chinese version of the CCCS has good reliability and validity, and it can be used as a valid assessment tool for clinical nurses' critical cultural competence in China.


Assuntos
Competência Cultural , Humanos , Reprodutibilidade dos Testes , Psicometria/métodos , Análise Fatorial , China
17.
J Psychiatr Res ; 156: 628-638, 2022 Nov 07.
Artigo em Inglês | MEDLINE | ID: mdl-36375230

RESUMO

Schizophrenia (SZ) is a serious neurodevelopmental disorder. As the etiology of SZ is complex and the pathogenesis is not thoroughly understood, the diagnosis of different subtypes still depends on the subjective judgment of doctors. Therefore, there is an urgent need to develop early objective laboratory diagnostic biomarkers to screen different subtypes of patients as early as possible, and to implement targeted prevention and precision medicine to reduce the risk of SZ and improve patients' quality of life. In this study, untargeted metabolomics and 16S rDNA sequencing were used to analyze the differences in metabolites and gut microflora among 28 patients with two types of schizophrenia and 11 healthy subjects. The results showed that the metabolome and sequencing data could effectively discriminate among paranoid schizophrenia patients, undifferentiated schizophrenia patients and healthy controls. We obtained 65 metabolites and 76 microorganisms with significant changes, and fecal metabolite composition was significantly correlated with the differential genera (|r|>0.5), indicating that there was a regulatory relationship between the gut microbiota and the host metabolites. The gut microbiome, as an objective and measurable index, showed good diagnostic value for distinguishing schizophrenia patients from healthy people, especially with a combination of several differential microorganisms, which had the best diagnostic effect (AUC>0.9). Our results are conducive to understanding the complicated metabolic changes in SZ patients and providing valuable information for the clinical diagnosis of SZ.

18.
Bioorg Chem ; 130: 106257, 2022 Nov 07.
Artigo em Inglês | MEDLINE | ID: mdl-36375349

RESUMO

Ten new indole alkaloids (1-10) as well as eleven known analogs (11-21) were isolated from the stems and hooks of Uncaria rhynchophylla. Their structure elucidation was based on extensive NMR studies, MS and ECD data, with the essential aid of DFT prediction of ECD spectra. Compound 1 was determined as a 17,19-seco-cadambine-type alkaloid, and compound 3 was confirmed to be a 3,4-seco-tricyclic monoterpene indole alkaloid, which are the first seco-alkaloids possessing such cleavage positions from U. rhynchophylla. All the isolated compounds were evaluated for their bioactivities on dopamine D2 and Mu opioid receptors for discovering natural therapeutic drugs targeting central nervous system (CNS) diseases. Compounds 1, 2, 4, 5, 20 and 21 showed antagonistic bioactivities on the D2 receptor (IC50 0.678-15.200 µM), and compounds 1, 3, 6, 9, 10, 13, 18, 19 and 21 exhibited antagonistic effects on the Mu receptor (IC50 2.243-32.200 µM). Among them, compounds 1 and 21 displayed dual-target activities. Compound 1 showed conspicuous antagonistic activity on D2 and Mu receptors with the IC50 values of 0.678 ± 0.182 µM and 13.520 ± 2.480 µM, respectively. Compound 21 displayed moderate antagonistic activity on the two receptors with the IC50 values at 15.200 ± 1.764 µM and 32.200 ± 5.695 µM, respectively.

19.
Plants (Basel) ; 11(21)2022 Nov 03.
Artigo em Inglês | MEDLINE | ID: mdl-36365421

RESUMO

Organic acids secreted by plants, such as p-hydroxybenzoic acid, ferulic acid, cinnamic acid, and benzoic acid, can inhibit seed germination and root growth. The effects of root and soil leaching liquor from orchards on the growth of M. hupehensis Rehd. seedlings under sand culture are studied; the seedlings are sampled at 15, 30, 45, and 60 d. Changes in the amount of root exudates are determined using HPLC. Low concentrations of root leaching liquor (A1) and soil leaching liquor (B1) significantly promoted plant growth and chlorophyll synthesis; high concentrations of root leaching liquor (A6) and soil leaching liquor (B4-6) inhibited growth. Low concentrations of soil leaching liquor had no significant effect on the POD, SOD, and CAT activities. A5-6 and B5-6 significantly decreased Fv/Fm and qP values, respectively, and increased NPQ values. All root and soil leaching liquor treatments inhibited the secretion of gallic acid, hydroxybenzoic acid, benzoic acid, and phloridzin, and promoted the secretion of caffeic acid. The root leaching liquor treatments inhibited the secretion of catechin and promoted the secretion of phloretin. The soil leaching liquor treatments promoted the secretion of cinnamic acid. The secretion of other phenolic acids is likely associated with the different concentrations of leaching liquor.

20.
Nat Commun ; 13(1): 6857, 2022 Nov 11.
Artigo em Inglês | MEDLINE | ID: mdl-36369287

RESUMO

Programmed death ligand 1 (PD-L1) has been shown to be inducibly expressed on neutrophils to suppress host immunity during polymicrobial sepsis, virus and parasite infections. However, the role of PD-L1 on neutrophil-mediated antifungal immunity remains wholly unknown. Here, we show that the expression of PD-L1 on murine and human neutrophils was upregulated upon the engagement of C-type lectin receptor Dectin-1 with its ligand ß-glucans, exposed on fungal pathogen Candida albicans yeast. Moreover, ß-glucan stimulation induced PD-L1 translocation into nucleus to regulate the production of chemokines CXCL1 and CXCL2, which control neutrophil mobilization. Importantly, C. albicans infection-induced expression of PD-L1 leads to neutrophil accumulation in bone marrow, through mediating their autocrine secretion of CXCL1/2. Furthermore, neutrophil-specific deficiency of PD-L1 impaired CXCL1/2 secretion, which promoted neutrophil migration from bone marrow into the peripheral circulation, thereby conferring host resistance to C. albicans infection. Finally, either PD-L1 blockade or pharmacological inhibition of PD-L1 expression significantly increased neutrophil release from bone marrow to enhance host antifungal immunity. Our data together indicate that activation of Dectin-1/PD-L1 cascade by ß-glucans inhibits neutrophil release from bone marrow reserve, contributing to the negative regulation of antifungal innate immunity, which functions as a potent immunotherapeutic target against life-threatening fungi infections.


Assuntos
Neutrófilos , beta-Glucanas , Animais , Camundongos , Humanos , Antígeno B7-H1/genética , Antígeno B7-H1/metabolismo , Antifúngicos/metabolismo , Medula Óssea , Candida albicans/fisiologia , beta-Glucanas/farmacologia , beta-Glucanas/metabolismo
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