Assembly of soy protein-corn starch composite gels by thermal induction: Structure, and properties.

The effect of different corn starch (CS) concentrations on the gel formation of soybean isolate protein (SPI) was investigated. Moreover, the texture, rheological properties of the gel were determined, and the spatial structure and interactions of the composite gel system were analyzed. The composite system transitioned from liquid to solid-like with an increase in the CS concentration and did not backflow when inverted for 24 h. With the addition of CS, the gel strength, water holding capacity (WHC), G', and G'' increased significantly. The maximum was reached at 10 % starch concentration with gel strength of (228.96 ± 29.86) g and WHC of (98.93 ± 2.02)  %. According to low-field 1H nuclear magnetic resonance (LF-NMR) results, CS has a high water absorption capacity, which improved the WHC. The scanning electron microscopy results revealed that composite gels with a high CS concentration had a more dense and small void network structure. According to the results of molecular force interaction, infrared spectroscopy, Raman spectroscopy, and free sulfhydryl group analysis, the added starch promoted the unfolding of SPI molecules, exposure of hydrophobic groups, transformation of free sulfhydryl groups into disulfide bonds, and hydrogen bond formation. Hydrophobic interactions, disulfide bonding, and hydrogen bonding function together to form the SPI-CS composite gel system. The study results provide the basis for applying soy protein and CS gels.

Main active components of Ilex rotunda Thunb. protect against ulcerative colitis by restoring the intestinal mucosal barrier and modulating the cytokine-cytokine interaction pathways.

ETHNOPHARMACOLOGICAL RELEVANCE: Ilex rotunda Thunb. (IR) is widely used for gastrointestinal diseases by Yao physician, and it has a better clinical curative effect on ulcerative colitis (UC). However, the main active components and mechanism of IR in the treatment of UC remain to be clarified. AIM OF THE STUDY: To investigate the main active components and mechanism of IR in the treatment of UC. MATERIALS AND METHODS: Ten biological active components of IR were quantified by UPLC-MS/MS. In vitro, Caco2 cell monolayers were stimulated by lipopolysaccharide, and were treated with 10 biologically active components individually to investigate the protective role of the components of IR in mucosal barrier damage. In vivo, a mouse model of UC was induced by dextran sulfate sodium and administered with the candidate active components of IR. On day 8, the serum and colon tissue were collected for histological and molecular analysis to investigate the main active components and mechanism of IR. RESULTS: Ziyuglycoside I, ziyuglycoside II, syringin, and pedunculoside in IR reduced phenol red transmission of the monolayer, and inhibited the protein expression of oncostatin M and oncostatin M receptor in Caco2 cells. Notably, ziyuglycoside II and syringin decreased the transepithelial electrical resistance of the monolayer, and promoted the protein expression of Occludin, Claudin-1 and zonula occludens-1 (ZO-1) in Caco2 cells. In vivo, ziyuglycoside II and syringin improved the symptoms of UC mice, including body weight, disease activity score, shortening of colon length, damaging of acidic mucus layer, histopathological changes, and protein expression of Occludin, Claudin-1, and ZO-1. Pedunculoside reduced the neutrophils and inflammatory response in the UC mice. Moreover, when the combination of ziyuglycoside II, syringin and pedunculoside was used for the treatment of UC, syringin and pedunculoside enhanced the therapeutic effect of ziyuglycoside II. Finally, RNA sequencing and RT-qPCR analysis revealed that ziyuglycoside II + syringin + pedunculoside and IR coregulated up to 42.7% of genes, and mainly reduced the overexpression of C-X-C motif ligand 1(CXCL1), oncostatin M receptor (OSMR), interleukin 1 receptor type I (IL1R1), tumor necrosis factor receptor superfamily member 9 (TNFRSF9), C-X-C motif chemokine 13 (CXCL13), oncostatin M (OSM), and interleukin 6 (IL-6) in the cytokine-cytokine interaction pathways. CONCLUSIONS: The combination of ziyuglycoside II, syringin, and pedunculoside protects against UC by modulating the intestinal mucosal barrier and inhibiting the cytokine-cytokine interaction pathways, and the effect is relatively equivalent to that of the water extract of Ilex rotunda Thunb.

Aquatic toxicity, ecological effects, human exposure pathways and health risk assessment of liquid crystal monomers.

Liquid crystal monomers (LCMs), one of the key materials for liquid crystal displays, have been considered as emerging pollutants in recent years. However, the environmental behaviors of LCMs have not yet been well investigated. The toxicity data of 1173 LCMs were calculated by integrated computational simulation methods in this study. It showed that 64.6% LCMs exhibited PBT (persistent, bioaccumulative, and toxic) properties. Based on the results, 1173 LCMs were identified as molecules possessing the highest level of acute toxicity to aquatic organisms. Among which, and a human health risk priority control list about LCMs was generated in this study, among which 435 were classified as requiring priority control LCMs. It was confirmed that LCMs could eventually accumulate in the human body along the aquatic food chain or penetrate the bloodstream through the dermis, thereby causing harm to health by identifying the exposure pathways of LCMs in humans. Additionally, the electronegativity of the side chain group of LCMs is the main factor causing toxicity differences; therefore, the LCMs containing halogens presented significant acute and chronic toxic effects. This study provided a more comprehensive understanding of LCMs for the public and scientific strategies for controlling LCMs.

Biodegradation of poly(ethylene terephthalate) through PETase surface-display: From function to structure.

Polyethylene terephthalate (PET) is one of the most used plastics which has caused some environmental pollution and social problems. Although many newly discovered or modified PET hydrolases have been reported at present, there is still a lack of comparison between their hydrolytic capacities, as well as the need for new biotechnology to apply them for the PET treatment. Here, we systematically studied the surface-display technology for PET hydrolysis using several PET hydrolases. It is found that anchoring protein types had little influence on the surface-display result under T7 promoter, while the PET hydrolase types were more important. By contrast, the newly reported FAST-PETase showed the strongest hydrolysis effect, achieving 71.3% PET hydrolysis in 24 h by pGSA-FAST-PETase. Via model calculation, FAST-PETase indeed exhibited higher temperature tolerance and catalytic capacity. Besides, smaller particle size and lower crystallinity favored the hydrolysis of PET pellets. Through protein structure comparison, we summarized the common characteristics of efficient PET-hydrolyzing enzymes and proposed three main crystal structures of PET enzymes via crystal structural analysis, with ISPETase being the representative and main structure. Surface co-display of FAST-PETase and MHETase can promote the hydrolysis of PET, and the C-terminal of the fusion protein is crucial for PET hydrolysis. The results of our research can be helpful for PET contamination removal as well as other areas involving the application of enzymes. SYNOPSIS: This research can promote the development of better PET hydrolase and its applications in PET pollution treatment via bacteria surface-display.

Nuezhenoside G13 from Osmanthus fragrans fruit ameliorates Concanavalin A-induced autoimmune hepatitis by regulating the NF-κB/MAPK pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Osmanthus fragrans fruit (OFF) exhibits hepatoprotective function, and it is consumed as food and used in traditional medicine in China. Nuezhenoside G13 (G13) is present in the highest levels in OFF. Autoimmune hepatitis (AIH) is a manifestation of liver disease and seriously endangers health. However, it remains unclear whether G13 affects AIH. AIM OF THE STUDY: To clarify the effect of G13 on AIH and its exact underlying mechanism from a new perspective. MATERIALS AND METHODS: We used a Concanavalin A-induced AIH mouse model and lipopolysaccharide-treated Raw264.7 cells to quantify serum biochemical indicators and confirm whether G13 exhibited protective effects in the AIH mice. Furthermore, we evaluated the effect of G13 via hematoxylin and eosin and immunohistochemical staining. We used enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction to quantify the inflammatory factors. We confirmed that G13 inhibited apoptosis via terminal deoxynucleotidyl transferase dUTP nick end labeling staining. Molecular docking, immunofluorescence, and western blotting experiments of G13 and key proteins of the NF-κB/MAPK pathway revealed that G13 alleviated inflammation. In addition, Cell Counting Kit-8, ELISA, NO detection, and western blotting assays were performed. Finally, we used an inhibitor of the p38 MAPK to verify that G13 reduced inflammation through the NF-κB/MAPK pathway in Raw264.7 cells. RESULTS: The in vivo experiments revealed that G13 improved oxidative stress and apoptosis. In addition, G13 decreased the expression levels of CD4+, CD8+, F4/80+, and Ly6G and the secretion of inflammatory factors. Interestingly, G13 reduced the phosphorylation levels of IκBα, NF-κB, JNK, ERK1/2, and p38. Additionally, the in vitro experiments revealed that G13 alleviated inflammation through the NF-κB/MAPK pathway in lipopolysaccharide-treated Raw264.7 cells. Furthermore, molecular docking demonstrated that the binding fraction of G13 with these proteins was high. CONCLUSION: G13 suppressed oxidative stress, apoptosis, and inflammation in a Concanavalin A-induced AIH mouse model. Furthermore, G13 exerted its effect through the NF-κB/MAPK pathway.

Remediation of heavily PAHs-contaminated soil with high mineral content from a coking plant using surfactant-enhanced soil washing.

This study investigated the effectiveness of various surfactants at different concentrations in removing high concentrations of polycyclic aromatic hydrocarbons (PAHs) from soil with high mineral content, focusing on the impact of surfactant treatment on the mobility of the residual PAHs in soil. The results revealed that the cationic surfactant (CTMAB) inhibited removal of PAHs in the whole tested concentration range of 0.1-8 g/L. In contrast, the non-ionic and anionic surfactants (Triton X-100 and SDBS) significantly enhanced removal of PAHs as their amendment concentrations reached 2 g/L and above. Triton X-100 exhibited steadily increased efficacy with increasing amendment concentrations and maintained favorable solubilization capability when continuously amended, making it the preferable choice for remediating PAHs-contaminated soil. Surfactant and water washing processes altered soil physicochemical properties by removing some clay minerals (e.g., faujasite) and organic matter that can bind or sequester PAHs, potentially increasing their extractability and bioavailability in the washed soil, thereby posing higher ecological risks compared to the original one. Although soil washing decreased retention of the remaining PAHs in soil, it did not significantly impact PAHs release from soil by flowing water. These findings provide insights into the long-term effectiveness and ecological impacts of surfactant-enhanced washing as a potential remediation technique for PAHs-contaminated soil.

Biomimetic mineralization-based In situ growth of AuNCs@ZIF-8 on paper fibers for visual detection of copper ions.

As one of the essential trace elements in life activities, copper ion (Cu2+) plays a very important role in human health. However, copper-containing pesticides are usually used for sterilization and disinfestation in agriculture. Thus, the residues of copper-containing pesticides in agricultural samples increase the risk of excessive intake of Cu2+ for human. The development of an effective method for detecting Cu2+ is still an important task. Herein, a detecting system based on AuNCs@ZIF-8 modified paper and smartphone platform was developed for visual detection of Cu2+ in agricultural samples. Herein, a detecting system based on AuNCs@ZIF-8 modified paper and smartphone platform was developed for visual detection of Cu2+ in agricultural samples. In the detecting system, gold nanoclusters (AuNCs) were packaged by ZIF-8 to limit their molecular motion and enhance the fluorescence effectively. In the meanwhile, by ultrasound-assisted biomimetic mineralizing, AuNCs@ZIF-8 composites were uniformly synthesized in situ on the surface of the paper fibers to indicate Cu2+ by fluorescence quenching. A portable visual monitoring system consisted of the prepared Cu2+ paper sensor and a smartphone platform was then successfully built and applied to on site detecting Cu2+ in agricultural samples. The limit of detection (LOD) was 4.57 µM and recovery rate varied from 96.50 % to 121.58 %. The developed detecting system for Cu2+ has the advantages of easy preparation and operation, and is very suitable for the use in agricultural products and farmland.

The Chinese Version of the Palliative Nursing Care Quality Scale: Translation, Cross-Cultural Adaptation, and Validity.

BACKGROUND: Nurses play an important role in palliative care, and high-quality assessment tools can help standardize palliative-related nursing behaviors, but there are no such tools in China. OBJECTIVE: This study aimed to revise, cross-culturally adapt, and validate the Palliative Nursing Care Quality Scale (PNCQS) to provide an effective tool that can help nurses in mainland China assess the quality of palliative care. METHODS: This study involved a 2-steps process. First, the PNCQS was translated, back-translated, and cross-cultural adapted using Brislin's translation model. Second, a cross-sectional study was used to evaluate the reliability and validity of the revised scale. From January to February 2023, 367 nurses engaged in palliative care-related nursing from 3 tertiary A general hospitals were surveyed with the revised scale. The evaluation methods used in this study included item analysis, test-retest reliability, internal consistency, criterion-related validity, content validity, and construct validity. RESULTS: The PNCQS-Chinese included 20 items. In this study, the item-total correlation coefficients ranged from 0.67 to 0.83 (P < .01), and the critical ratio value of the items was 12.10 to 23.34 (P < .01). The scale-level content validity index was 0.98, and the item-level content validity ranged from 0.86 to 1.00. The total Cronbach's α and test-retest reliability of the scale were 0.96 and 0.79, respectively. Factor analysis of 20 items extracted 1 factor, and the contribution rate of cumulative variance was 60.03%. CONCLUSIONS: PNCQS-Chinese shows acceptable validity and reliability for assessing the quality of palliative care-related nursing in mainland China.

Enhancing the biosynthesis of 2-keto-L-gulonic acid through multi-strategy metabolic engineering in Pseudomonas putida KT2440.

2-KGA, a precursor for the synthesis of Vitamin C, is currently produced in China utilizing the "two-step fermentation" technique. Nevertheless, this method exhibits many inherent constraints. This study presents a comprehensive metabolic engineering strategy to establish and optimize a one-step 2-KGA fermentation process from D-sorbitol in Pseudomonas putida KT2440. In general, the endogenous promoters were screened to identify promoter P1 for subsequent heterologous gene expression in KT2440. Following the screening and confirmation of suitable heterologous gene elements such as sldh, sdh, cytc551, pqqAB, and irrE, genetic recombination was performed in KT2440. In comparison to the initial achievement of expressing only sldh and sdh in KT2440, a yield of merely 0.42 g/L was obtained. However, by implementing four metabolic engineering strategies, the recombinant strain KT20 exhibited a significant enhancement in its ability to produce 2-KGA with a remarkable yield of up to 6.5 g/L - representing an impressive 15.48-fold improvement.

A bibliometric analysis of emerging contaminants (ECs) (2001-2021): Evolution of hotspots and research trends.

Emerging contaminants (ECs) have attracted increasing attention in the past two decades because of their ubiquitous existence and high environmental risk. Understanding the progress of research and the evolution of hot topics is critical. This study provides a bibliometric review, along with a quantitative trend analysis of approximately 8000 publication records dated from 2001 to 2021. Wider distribution in various subjects was discovered in terms of publication numbers, indicating a strong tendency for EC research to become an interdisciplinary topic. Visualization of term co-occurrence analysis revealed that the ECs study went through three stages over time: identification and detection, traceability and risk, and process and control. Quantitative trend analysis revealed that antibiotics, microplastics, endocrine disrupting chemicals (EDCs), per/poly-fluoroalkyl substances (PFAS), pesticides, heavy metals, and nanoparticles are attracting increasing attention, whereas conventional pharmaceuticals, persistent organic pollutants, and materials such as benzotriazole, diclofenac, bisphenol A, carbamazepine, triclosan, and titanium dioxide exhibit a downward trend. PFAS and EDCs are considered potential future core hotspots for the hysteretic rise in research attention compared with conventional ECs. Furthermore, analysis of research linkage and the developing stages of ECs could be possible approach to determine the evolution of hotspots in ECs study. This study provides objective and comprehensive insights into the research landscape of ECs, which may shed light on future developmental directions for researchers interested in this field.

Synergistic interaction of Cu(II) with caffeic acid and chlorogenic acid in α-glucosidase inhibition.

BACKGROUND: Phenolic acids are widespread in foods and are beneficial to human health. However, the role of metal ions in influencing the binding of proteins with phenolic acids that contain the same parent nucleus structure remains unclear. This study investigated the inhibitory effect of caffeic acid (CA) and chlorogenic acid (CHA) on α-glucosidase and the biological effect of copper on this process. RESULTS: It was found that the esterification of CA with quinic acid could increase the fluorescence quenching, conformational change, and inhibitory effect of CHA on α-glucosidase. Copper ions reduced their fluorescence quenching and conformation-changing ability by binding to the neighboring phenolic hydroxyl group but also increased their ability to alter secondary structure and to inhibit α-glucosidase and in vitro anti-glycation. CONCLUSION: Overall, this study shows that the binding of copper ions to the phenolic hydroxyl group adjacent to CA and CHA synergistically inhibited α-glucosidase. The findings will offer a theoretical basis for investigating the properties of metal ions and phenolic acid in food chemistry and their potential applications in the prevention and treatment of diabetes mellitus. © 2023 Society of Chemical Industry.

Construction of an ultrasensitive dual-mode chiral molecules sensing platform based on molecularly imprinted polymer modified bipolar electrode.

Chiral molecules are abundant in nature. Phenylketonuria (PKU) is caused by the abnormal transformation of chiral molecules L-phenylalanine (L-Phe) in the human blood, which can cause irreversible harm to the human body. In this work, we documented an electrochemiluminescent (ECL) dual-mode sensor platform based on molecularly imprinted polymer (MIP) modified closed bipolar electrodes for high sensitivity detection of L-Phe and D-phenylalanine (D-Phe). In the anode chamber of a bipolar electrode modified with phenylalanine imprinting, Ru (bpy)32+ underwent a redox reaction to produce a chemiluminescence response under the stimulation of a driving voltage. At the same time, the reduction of the cathode film of the bipolar electrode was promoted, and the color changed from dark blue to nearly white. Thus, the dual-mode detection of target molecules is realized. The detection range of the sensor for phenylalanine reached 0.01-10,000 nM, and the detection limits of L-Phe and D-Phe were 3.9 pM and 4.6 pM (S/N = 3), respectively. This dual-mode system achieved high stability and high specificity, and also successfully realized the detection of actual samples, which is expected to achieve future clinical applications.

Roles of vitamin K­dependent protein in biomineralization (Review).

Vitamin K (VK), a fat­soluble vitamin, is well known as an anticoagulant in the clinic. It is essential for the post­translational activation of VK­dependent proteins (VKDPs) because hydroquinone VK is a cofactor of glutamine carboxylase. At present, 17 VKDPs are known, which are mainly involved in coagulation and calcification. When Glu residues are carboxylated to Gla residues, these proteins gain a higher calcium­binding ability, which explains why VK has an important role in blood coagulation and biomineralization. However, the current view on the role of VK and several VKDPs in biomineralization remains inconsistent. For instance, conflicting results have been reported regarding the effect of osteocalcin gene knockout on the bone of mice; matrix Gla protein (MGP) promotes osteoblasts mineralization but inhibits vascular smooth muscle cell mineralization. The present review aimed to summarize the existing evidence that several VKDPs, including osteocalcin, MGP, Gla­rich protein and growth arrest specific 6 are closely related to calcification, including bone health, vascular calcification and lithiasis. The current review discussed these controversies and provided suggestions for future studies on VKDPs, i.e. taking into account dietary habits, geographical environments and genetic backgrounds.

CT-based deep learning radiomics and hematological biomarkers in the assessment of pathological complete response to neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma: A two-center study.

PURPOSE: To evaluate and validate CT-based models using pre- and posttreatment deep learning radiomics features and hematological biomarkers for assessing esophageal squamous cell carcinoma (ESCC) pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT). MATERIAL AND METHODS: This retrospective study recruited patients with biopsy-proven ESCC who underwent nCRT from two Chinese hospitals between May 2017 and May 2022, divided into a training set (hospital I, 111 cases), an internal validation set (hospital I, 47 cases), and an external validation set (hospital II, 33 cases). We used minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) as feature selection methods and three classifiers as model construction methods. The assessment of models was performed using area under the receiver operating characteristic (ROC) curve (AUC) and decision curve analysis (DCA). RESULTS: A total 190 patients were included in our study (60.8 ± 7.08 years, 133 men), and seventy-seven of them (40.5 %) achieved pCR. The logistic regression (LR)-based combined model incorporating neutrophil to lymphocyte ratio, lymphocyte to monocyte ratio, albumin, and radscores performed well both in the internal and external validation sets with AUCs of 0.875 and 0.857 (95 % CI, 0.776-0.964; 0.731-0.984, P <0.05), respectively. DCA demonstrated that nomogram was useful for pCR prediction and produced clinical net benefits. CONCLUSION: The incorporation of radscores and hematological biomarkers into LR-based model improved pCR prediction after nCRT in ESCC. Enhanced pCR predictability may improve patients selection before surgery, providing clinical application value for the use of active surveillance.

Singlet oxygen induces cell wall thickening and stomatal density reducing by transcriptome reprogramming.

Singlet oxygen (1O2) has a very short half-life of 10-5 s; however, it is a strong oxidant that causes growth arrest and necrotic lesions on plants. Its signaling pathway remains largely unknown. The Arabidopsis flu (fluorescent) mutant accumulates a high level of 1O2 and shows drastic changes in nuclear gene expression. Only two plastid proteins, EX1 (executer 1) and EX2 (executer 2), have been identified in the singlet oxygen signaling. Here, we found that the transcription factor abscisic acid insensitive 4 (ABI4) binds the promoters of genes responsive to 1O2-signals. Inactivation of the ABI4 protein in the flu/abi4 double mutant was sufficient to compromise the changes of almost all 1O2-responsive-genes and rescued the lethal phenotype of flu grown under light/dark cycles, similar to the flu/ex1/ex2 triple mutant. In addition to cell death, we reported for the first time that 1O2 also induces cell wall thickening and stomatal development defect. Contrastingly, no apparent growth arrest was observed for the flu mutant under normal light/dim light cycles, but the cell wall thickening (doubled) and stomatal density reduction (by two-thirds) still occurred. These results offer a new idea for breeding stress tolerant plants.

A One-Bit Programmable Multi-Functional Metasurface for Microwave Beam Shaping.

In this paper, we demonstrate a multi-functional metasurface for microwave beam-shaping application. The metasurface consists of an array of programmable unit cells, and each unit cell is integrated with one varactor diode. By turning the electrical bias on the diode on and off, the phase delay of the microwave reflected by the metasurface can be switched between 0 and π at a 6.2 GHz frequency, which makes the metasurface 1-bit-coded. By programming the 1-bit-coded metasurface, the generation of a single-focus beam, a double-focus beam and a focused vortex beam was experimentally demonstrated. Furthermore, the single-focus beam with tunable focal lengths of 54 mm, 103 mm and 152 mm was experimentally observed at 5.7 GHz. The proposed programmable metasurface manifests robust and flexible beam-shaping ability which allows its application to microwave imaging, information transmission and sensing applications.

Comprehensive Comparison of MOCVD- and LPCVD-SiNx Surface Passivation for AlGaN/GaN HEMTs for 5G RF Applications.

Passivation is commonly used to suppress current collapse in AlGaN/GaN HEMTs. However, the conventional PECV-fabricated SiNx passivation layer is incompatible with the latest process, like the "passivation-prior-to-ohmic" method. Research attention has therefore turned to high-temperature passivation schemes. In this paper, we systematically investigated the differences between the SiNx/GaN interface of two high-temperature passivation schemes, MOCVD-SiNx and LPCVD-SiNx, and investigated their effects on the ohmic contact mechanism. By characterizing the device interface using TEM, we reveal that during the process of MOCVD-SiNx, etching damage and Si diffuses into the semiconductor to form a leakage path and reduce the breakdown voltage of the AlGaN/GaN HEMTs. Moreover, N enrichment at the edge of the ohmic region of the LPCVD-SiNx device indicates that the device is more favorable for TiN formation, thus reducing the ohmic contact resistance, which is beneficial to improving the PAE of the device. Through the CW load-pull test with drain voltage VDS = 20V, LPCVD-SiNx devices obtain a high PAE of 66.35%, which is about 6% higher than MOCVD-SiNx devices. This excellent result indicates that the prospect of LPCVD-SiNx passivation devices used in 5G small terminals will be attractive.

Current status and influencing factors of policy identification in health impact assessment: a case study of Zhejiang Province.

BACKGROUND: Health impact assessment (HIA) is a procedure, method and tool for evaluating the potential health impacts of policies, plans and construction projects, as well as the distribution of these impacts on population. Majority of international studies on health impact assessment have focussed on conceptual papers or case evaluations, neglecting participants' views on policies. METHODS: A semi-structured interview with 30 health impact assessment experts was employed in this study, and the Nvivo software was utilized to analyse factors that influence policy identification. Subsequently, a multi-stage stratified random sampling method was adopted to survey 655 pilot staff members involved in health impact assessment in Zhejiang Province. Descriptive statistics were used to describe the current status and identify the factors influencing policy identification. In addition, hierarchical linear regression analysis and structural equation modelling were employed to determine the relationship between policy identification and influencing factors. RESULTS: Statistically significant differences were found among participants in the level of identification of policies across three dimensions. The policy sentiment dimension had the highest score (4.137 ± 0.664), followed by policy cognition (4.075 ± 0.632) and policy evaluation (3.631 ± 0.797) dimensions. Subject trust had a positive impact on policy cognition (ß = 0.503, P < 0.001), policy sentiment (ß = 0.504, P < 0.001) and policy evaluation (ß = 0.465, P < 0.001). Procedural justice had a positive impact on policy sentiment (ß = 0.085, P < 0.01) and policy evaluation (ß = 0.084, P < 0.05), but not policy cognition (ß = 0.056, P > 0.05). Policy identification is influenced by age and average monthly salary among other factors. CONCLUSION: These results highlight the importance of subjective trust and procedural justice in policy identification of health impact assessment. They provide valuable insights to developing interventions to overcome barriers to the implementation and enhancement of global identification of policies. Going forward, cross-sectoral synergies, enhanced international communication and training to increase participants' trust in the policy should be optimized to improve health impact assessment. Additional measures should be taken, such as ensuring seamless communication channels, embedding health impact assessment in administrative mechanisms, and establishing strong oversight and grievance mechanisms to improve fairness and transparency in the implementation and results of health impact assessment.

Fibroblasts alter the physical properties of dermal ECM-derived hydrogels to create a pro-angiogenic microenvironment.

This study aimed to investigate the impact of fibroblasts (MRC-5) on the extracellular matrix (ECM) microenvironment of endothelial cells (ECs) during the vascularization of skin-derived ECM hydrogel in vitro. Two types of ECs were studied: human dermal microvascular endothelial cells (HMEC) and human pulmonary microvascular endothelial cells (HPMEC). Results showed that the presence of MRC-5 fibroblasts increased the stiffness of the hydrogel and led to larger fiber diameters and increased porosity. Extensive collagen fiber remodeling occurred in the ECM hydrogel with MRC-5 fibroblasts. Additionally, higher levels of fibulin-1 and fibronectin were deposited in the hydrogel when co-cultured with MRC-5 fibroblasts. These findings suggest that MRC-5 fibroblasts play a role in modifying the ECM microenvironment, promoting vascularization through dynamic ECM remodeling.