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PurposeEnterostomy patients were exposed to various stressors, and self-care ability played an important role in their daily lives. This study aimed to examine the relationship between perceived social support and self-care ability among Chinese enterostomy patients and to explore whether perceived stress mediated this relationship.MethodsA sample of 410 enterostomy patients aged 59.68 ± 12.95 years old were recruited in the study. Participants completed a set of questionnaires including demographics, perceived stress scale, perceived social support scale, and ostomy self-care ability scale.ResultsA total of 392 valid questionnaires were finally used in the data analyses among 410 questionnaires; the effective response rate was 95.6%. Results demonstrated that the scores of perceived social support were positively correlated with scores of self-care ability scores and negatively with perceived stress scores. And the effect of perceived social support on self-care ability was partially mediated by perceived stress (51.53%).ConclusionsThis study explained the mediating model that connects perceived social support with self-care ability through perceived stress, which enhances our understanding about the mediating role of perceived stress. Thus, when focusing on the self-care ability of enterostomy patients, perceived stress was as important as perceived social support.

Background Nursing is crucial for delivering healthcare services; however, nursing shortages pose a significant global challenge, which the high turnover rate of junior nurses is expected to exacerbate. Enhancing nurses’ professional identities is likely to be an effective strategy for reducing turnover rates. Methods We recruited 865 junior clinical nurses from three tertiary hospitals in Henan Province, China. The participants completed a demographic questionnaire along with the Reflective Ability Scale for Clinical Nurses, the Nursing Profession Self-efficacy Scale, the Nursing Staff Self-learning Ability Evaluation Scale, and the Professional Identity Scale for Nurses. The relationships between reflective ability, self-directed learning, self-efficacy, and professional identity were evaluated using SPSS26.0, with PROCESS version 3.5 used to construct a chain-mediation model. Results Positive correlations were found between reflective ability, self-directed learning, self-efficacy, and professional identity. Chain mediation model analysis showed that reflective ability, self-directed learning, and self-efficacy directly and positively affected professional identity (β = 0.22, β = 0.30, β = 0.66, all p  < 0.001). Self-directed learning and self-efficacy exerted a significant chain mediating effect between reflective ability and professional identity (95% confidence interval [CI]: 0.06–0.13). The total effect of reflective ability on the professional identity of clinical nurses was 0.51 ( p  < 0.001, 95%CI: 0.42–0.59), the direct effect was 0.22 ( p  < 0 0.001, 95%CI: 0.14–0.29), and the indirect effect was 0.29 ( p  < 0.001, 95%CI: 0.22–0.37). Conclusion Self-directed learning and self-efficacy partially mediated the relationship between reflective ability and professional identity. Multifaceted strategies targeted at enhancing reflective ability, self-directed learning, and self-efficacy are recommended to improve junior clinical nurses’ professional identities.

To translate and validate the DES-10 into Chinese and adapt the DES-10 among Chinese prostate cancer patients. To explore the impact of demographic data on the SDM of Chinese prostate cancer patients. Data were collected from December 2019 to January 2020 from four hospitals among prostatic cancer patients in Henan Province, by convenience sampling method. A demographic questionnaire, DES-10, and 9-item Shared Decision Making Questionnaire (SDM-Q-9) were administered. The exploratory and confirmatory factor analysis was carried out to test the content, construct, reliability, and concurrent validity of the translated DES-10. Then, Pearson's correlation, -test, and analysis of variance were used to test the demographic difference of DES-10. A total of 380 prostatic cancer patients completed the survey (96% response rate). The total score of DES-10 was 71.16±17.14. The Cronbach's ɑ coefficient was 0.87. Single factor structure was confirmed by exploratory factor analysis (explaining 50.14% of the variance). Model fitting indexes (RMSEA=0.07, CMIN/DF=2.92) were acceptable. The DES-10 scale showed good validity with the SDM-Q-9 as the criterion. Age, marital status, homeplace, and household monthly income could affect the shared decision-making of prostatic cancer patients. The DES-10 was demonstrated to be a valid and reliable scale to assess the prostatic cancer patient's engagement in health care decision-making. And it is culturally appropriate for use in China. The influence of age, marital status, homeplace, and household monthly income should be considered in promoting patients' participation in shared decision-making.

Despite knowing that phytoremediation by salt-tolerant plants is an effective technology for ameliorating saline soils and that microorganisms contribute significantly to plant stress tolerance and soil fertility, we still lack a comprehensive understanding of how microbes respond to the growth of salt-tolerant plants and the subsequent decline in soil salinity. The results of this study revealed different response patterns among bacterial, archaeal, and fungal communities and indicated that the decline in archaeal abundance might be a sign of successful remediation of coastal saline soils. The recruitment of specific fungal communities by different plant species indicated the importance of fungi in plant species-specific remediation functions. We also identified the taxa that may play key roles during remediation, and these taxa could potentially be used as indicators of phytoremediation. Overall, these findings highlight the importance of microbes in the phytoremediation of saline soil and suggest that the mechanisms involved are plant species specific. Soil salinization is one of the major land degradation processes that decreases soil fertility and crop production worldwide. In this study, a long-term coastal saline soil remediation experiment was conducted with three salt-tolerant plant species: Lycium chinense Mill. (LCM), Tamarix chinensis Lour. (TCL), and Gossypium hirsutum Linn. (GHL). The three plant species successfully remediated the saline soil but showed different efficacies. The archaeal, bacterial, and fungal communities in barren soil and in four rhizocompartments (distal-rhizosphere soil, proximal-rhizosphere soil, rhizoplane, and endosphere) of the three plant species were assessed. All three plant species significantly decreased the richness of the archaeal communities but increased that of the bacterial and fungal communities in both the rhizosphere and rhizoplane compared with those in the barren soil. The archaeal and bacterial community structures were strongly influenced by the rhizocompartment, while specific fungal communities were recruited by different plant species. The microbial taxa whose abundance either increased or decreased significantly during remediation were identified. Soil electrical conductivity (EC) was identified as the main factor driving the variation in microbial community composition between the remediated and barren soil, and total nitrogen (TN), total carbon (TC), and available potassium (AK) were the main factors driving the differences among plant species. This report provides new insights into the responses of the root zone microbial communities of different salt-tolerant plant species during phytoremediation. IMPORTANCE Despite knowing that phytoremediation by salt-tolerant plants is an effective technology for ameliorating saline soils and that microorganisms contribute significantly to plant stress tolerance and soil fertility, we still lack a comprehensive understanding of how microbes respond to the growth of salt-tolerant plants and the subsequent decline in soil salinity. The results of this study revealed different response patterns among bacterial, archaeal, and fungal communities and indicated that the decline in archaeal abundance might be a sign of successful remediation of coastal saline soils. The recruitment of specific fungal communities by different plant species indicated the importance of fungi in plant species-specific remediation functions. We also identified the taxa that may play key roles during remediation, and these taxa could potentially be used as indicators of phytoremediation. Overall, these findings highlight the importance of microbes in the phytoremediation of saline soil and suggest that the mechanisms involved are plant species specific.

As the most abundant organic substances in nature, carbohydrates are essential for life. Understanding how carbohydrates regulate proteins in the physiological and pathological processes presents opportunities to address crucial biological problems and develop new therapeutics. However, the diversity and complexity of carbohydrates pose a challenge in experimentally identifying the sites where carbohydrates bind to and act on proteins. Here, we introduce a deep learning model, DeepGlycanSite, capable of accurately predicting carbohydrate-binding sites on a given protein structure. Incorporating geometric and evolutionary features of proteins into a deep equivariant graph neural network with the transformer architecture, DeepGlycanSite remarkably outperforms previous state-of-the-art methods and effectively predicts binding sites for diverse carbohydrates. Integrating with a mutagenesis study, DeepGlycanSite reveals the guanosine-5’-diphosphate-sugar-recognition site of an important G-protein coupled receptor. These findings demonstrate DeepGlycanSite is invaluable for carbohydrate-binding site prediction and could provide insights into molecular mechanisms underlying carbohydrate-regulation of therapeutically important proteins. Carbohydrates are essential for regulating various biological processes. Here, the authors developed DeepGlycanSite, a deep learning model that accurately predicts carbohydrate-binding sites on proteins, offering insights into carbohydrate regulation of therapeutically important proteins.

A highly sensitive photonic crystal fiber temperature sensor based on Sagnac interferometer with full liquid filling is proposed. All of the air holes in the PCF are filled with temperature-sensitive liquid, the structure is analyzed theoretically and numerically using the finite element method. Since the sensitivity is related to the group birefringent grating, the size of the sensitivity can be reflected by comparing the absolute value of the group birefringent grating. The structure is optimized by modifying the diameter of d 0 , d 1 and d 2 of the air holes for the photonic crystal fiber. In the process of numerical calculation, the best parameters are selected by comparing the absolute value of the group birefringent grating near the special wavelength to obtain higher sensitivity. The average sensitivity of 35.14 nm/°C and − 27.71 nm/°C are obtained at 27–32 °C in a parametrically optimized structure and R 2 are 0.98455 and 0.9779. The RI sensitivity is also studied as RI changes from 1.404 to 1.409, the average sensitivity are − 53,714 nm/RIU and − 47,714.29 nm/RIU.

A high sensitivity photonic crystal fiber (PCF) magnetic field sensor based on Sagnac interferometer is proposed. All the air holes of the PCF are completely filled with the magnetic fluid (MF), which is a magnetic liquid material. The sensing performance of PCF is simulated and analyzed by using finite element method (FEM). It is found that the effects of wavelength λ , phase birefringence B ( λ , H ), and group birefringence B g ( λ , H ) on the sensitivity are very significant. The two dip points in this spectrum show a red shift and a blue shift as the refractive index of the magnetic fluid increases, respectively. This magnetic field sensor obtains the average sensitivity of 889.5 pm/Oe (111,684.9 nm/RIU) and −994.3 pm/Oe (−124,839.5 nm/RIU) in the range from 90 to 240 Oe.

Glycans are complex biomolecules that encode rich information and regulate various biological processes, such as fertilization, host‐pathogen binding, and immune recognition, through interactions with glycan‐binding proteins. A key driving force for glycan‐protein recognition is the interaction between the π electron density of aromatic amino acid side chains and polarized C─H groups of the pyranose (termed the CH–π interaction). However, the relatively weak binding affinity between glycans and proteins has hindered the application of glycan detection and imaging. Here, computational modeling and molecular dynamics simulations are employed to design a chemical strategy that enhances the CH–π interaction between glycans and proteins by genetically incorporating electron‐rich tryptophan derivatives into a lectin PhoSL, which specifically recognizes core fucosylated N‐linked glycans. This significantly enhances the binding affinity of PhoSL with the core fucose ligand and enables sensitive detection and imaging of core fucosylated glycans in vitro and in xenograft tumors in mice. Further, the study showed that this strategy is applicable to improve the binding affinity of GafD lectin for N‐acetylglucosamine‐containing glycans. The approach thus provides a general and effective way to manipulate glycan‐protein recognition for glycoscience applications. Computational modeling is employed to identify the critical tryptophan residue on PhoSL for recognizing core fucosylated glycans. The tryptophan residue is replaced with electron‐rich derivatives of tryptophan using the genetic code expansion strategy to enhance CH–π interactions between PhoSL and glycans. The engineered lectin is able to detect and image core‐fucosylated glycans in cells and in mice with high sensitivity.

Dietary fatty acids (FAs) are associated with the therapeutic intervention under various health conditions. Human γδ-T cells are indispensable for immunosurveillance toward malignant cells. However, their impact on γδ-T cell metabolism and function remains poorly unexplored. Here, we applied targeted metabolomics analysis to serum FAs among cancer patients undergoing γδ-T cell therapy and discovered that palmitic acid (PA) or oleic acid (OA) levels were associated with the efficacy of Vγ9Vδ2-T cell therapy. We further elucidated that PA suppresses the antitumor activity of Vγ9Vδ2-T cells by disrupting metabolic processes and inhibiting the secretion of lytic granules, whereas OA restores the impaired antitumor activity of Vγ9Vδ2-T cells. Mechanistically, we surprisingly found that PA stimulates Vγ9Vδ2-T cells to secrete excessive IFNγ, which in turn induces cell pyroptosis, ultimately resulting in decreased antitumor activity. In contrast, OA reduces IFNγ secretion and mitigates cell pyroptosis, thereby restoring their antitumor activity. Alternatively, direct blockade of IFNγ by anti-IFNγ mAb or inhibition of pyroptosis by dimethyl fumarate (DMF) also restores their antitumor activity. This study highlights a novel mechanism whereby dietary FAs modulate γδ-T cell function through regulating IFNγ-mediated pyroptosis. Additionally, it offers proof-of-concept for an innovative approach by targeting IFNγ-mediated pyroptosis or dietary OA supplementation to strengthen the antitumor immunity of γδ-T cells against cancers.

Background Anlotinib has shown remarkable efficacy in later‐line treatment of advanced non‐small cell lung cancer (NSCLC). This prospective real‐world study evaluated its efficacy and safety in routine clinical practice. Methods Patients from 13 centers in China received anlotinib (8–12 mg) once daily on days 1–14 of a 21‐day cycle until disease progression, death, or unacceptable toxicity. Primary endpoint was progression‐free survival (PFS). Secondary endpoints included overall survival (OS), objective response rate (ORR), disease control rate (DCR), and safety. Results From July 2019 to October 2021, 352 of 373 enrolled patients received ≥ 2 cycles of anlotinib. Median follow‐up was 35.5 months. Median PFS and OS were 5.8 months (95% CI, 5.0–6.4) and 11.3 months (95% CI, 9.9–13.1), respectively. ORR and DCR were 19.3% and 84.4%. Multivariable analysis indicated that age ≥ 70 years was independently associated with poorer OS, though a clinically meaningful benefit remained (PFS, 5.9 months; OS, 9.6 months). Efficacy appeared generally similar regardless of baseline brain metastases. Median PFS and OS were 6.3 and 12.7 months in the second‐line setting, and 5.5 and 11.3 months in the≥ third‐line setting. Treatment‐related adverse events occurred in 10.5%, with grade ≥ 3 events in 1.4%; no treatment‐related deaths were observed. Conclusion In this real‐world cohort, anlotinib demonstrated effectiveness and acceptable tolerability in advanced NSCLC. Given the observational design, exploratory analyses—including age, treatment line, and baseline brain metastases—should be interpreted with caution. These findings complement limited existing real‐world data and may inform future clinical research and decision‐making. Trial Registration: ClinicalTrials.gov identifier: NCT04871997 In this prospective real‐world study, anlotinib demonstrated meaningful efficacy and manageable safety in advanced NSCLC.