BackgroundSocial support can help alleviate depressive symptoms in patients with major depressive disorder （MDD） and improve individual levels of empathy. The higher the level of empathy， the lower the probability of depressive symptoms. At present， the relationship between social support， empathy and depressive symptoms in MDD patients is unclear. ObjectiveTo explore the pathway of empathy in the relationship between social support and depressive symptoms in patients with MDD， so as to provide references for clinical treatment of MDD patients. MethodsA total of 126 patients who visited the outpatient clinic of Tianjin Anding hospital from July 2020 to September 2022 and met the diagnostic criteria for Major Depressive Disorder （MDD） according to the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were selected as the study subjects. Hamilton Depression Scale-17 item （HAMD-17）， Interpersonal Reactivity Index （IRI） and Social Support Rating Scale （SSRS） were used for assessment. Pearson correlation analysis was conducted to examine the correlations among the scale scores. Path analysis was performed using Model 4 of the Process 3.4.1. Bootstrap method was used to test the path effects. ResultsAmong MDD patients， HAMD-17 total score was positively correlated with IRI total score and its subscales of fantasy and personal distress （r=0.225， 0.213， 0.220， P<0.05）. HAMD-17 total score was negatively correlated with SSRS total score and its subscales of subjective support and support utilization （r=-0.211， -0.181， -0.208， P<0.05）. The score of support utilization subscale of SSRS was positively correlated with IRI total score and its subscale of perspective taking and empathic concern （r=0.257， 0.261， 0.331， P<0.01）. Empathy served as a pathway between support utilization and depressive symptoms， with an indirect effect of 0.217 （95% CI： 0.060~0.426）， and the effect size was 36.90%. ConclusionEmpathy may serve as a pathway between support utilization and depressive symptoms in patients with MDD.

Objective To explore the longitudinal changes of symptoms after discharge in patients with daytime lung cancer surgery by factor analysis,in order to strengthen nursing countermeasures and improve the quality of life of patients.Methods Patients who underwent day surgery in the thoracic surgery department of a tertiary general hospital in Zhejiang Province from October 2023 to January 2024 were selected using convenience sampling.On the 1st,3rd,14th and 30th day after discharge,the general information questionnaire and the postoperative symptom inventory for patients with lung cancer were used for investigation.Exploratory factor analysis was performed to extract the symptom clusters.Results A total of 227 patients were followed up in this study,including 19 shed cases and 2 excluded cases,and 206 patients were finally included.The percentage of the 9 major symptoms of patients with daytime lung cancer surgery after discharge showed dynamic changes.The highest percentage symptom on the 1st day after discharge was pain in 197 cases(95.63％).The highest percentage on the 30th day after discharge was cough in 129 cases(62.62％).The results of exploratory factor analysis were P＜0.001 and KMO＞0.500 for Bartlett's test of sphericity on days 1,3,and 14 after discharge,except for P=0.874 and KMO=0.495 on day 30,with digestive and respiratory symptom clusters on day 1;respiratory,digestive,and fatigue symptom clusters on day 3;fatigue and respiratory symptom clusters on day 14.Conclusion The single symptom and symptom clusters of patients with daytime lung cancer surgery after discharge showed dynamic changes at different time points.Therefore,in clinical work,targeted intervention strategies should be adopted,and precise symptom management should be implemented according to the characteristics of symptom clusters in different periods of discharge of patients undergoing daytime lung cancer surgery,so as to reduce the symptom burden of patients.

Objective To explore the longitudinal changes of symptoms after discharge in patients with daytime lung cancer surgery by factor analysis,in order to strengthen nursing countermeasures and improve the quality of life of patients.Methods Patients who underwent day surgery in the thoracic surgery department of a tertiary general hospital in Zhejiang Province from October 2023 to January 2024 were selected using convenience sampling.On the 1st,3rd,14th and 30th day after discharge,the general information questionnaire and the postoperative symptom inventory for patients with lung cancer were used for investigation.Exploratory factor analysis was performed to extract the symptom clusters.Results A total of 227 patients were followed up in this study,including 19 shed cases and 2 excluded cases,and 206 patients were finally included.The percentage of the 9 major symptoms of patients with daytime lung cancer surgery after discharge showed dynamic changes.The highest percentage symptom on the 1st day after discharge was pain in 197 cases(95.63％).The highest percentage on the 30th day after discharge was cough in 129 cases(62.62％).The results of exploratory factor analysis were P＜0.001 and KMO＞0.500 for Bartlett's test of sphericity on days 1,3,and 14 after discharge,except for P=0.874 and KMO=0.495 on day 30,with digestive and respiratory symptom clusters on day 1;respiratory,digestive,and fatigue symptom clusters on day 3;fatigue and respiratory symptom clusters on day 14.Conclusion The single symptom and symptom clusters of patients with daytime lung cancer surgery after discharge showed dynamic changes at different time points.Therefore,in clinical work,targeted intervention strategies should be adopted,and precise symptom management should be implemented according to the characteristics of symptom clusters in different periods of discharge of patients undergoing daytime lung cancer surgery,so as to reduce the symptom burden of patients.

Objective:To quantitatively analyze the primary research characteristics and keywords of international and domestic papers in the field of capsule endoscopy with bibliometric methods, and to illustrate the progression of capsule endoscopy research and offer insights for researchers in this domain.Methods:The Stork and visualized software CiteSpace were used to search and analyze the literature on "capsule endoscopy" in the English database of PubMed and the Chinese database of CNKI from 2002 to 2022.Results:A total of 6 011 English articles were identified in the PubMed database during the specified period. Both the number of publications and their citation frequencies displayed an upward trend on a global and domestic scale. The growth rates of global and domestic English publications were 5% and 15%, respectively, with major contributions coming from the United States, Japan, China, Italy and Germany. Key areas of global research interest included magnetic capsule endoscopy, colon capsule endoscopy, inflammatory bowel disease, small bowel capsule endoscopy, capsule endoscopy images, and obscure gastrointestinal bleeding, etc. A total of 2 027 articles were retrieved in the CNKI database, with top three research institutions including Department of Gastroenterology, Changhai Hospital, Naval Medical University; Department of Gastroenterology, Nanfang Hospital, Southern Medical University; School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. Emerging research keywords encompassed artificial intelligence, deep learning, and guidelines.Conclusion:The study reveals a gradual increase in global research activities related to capsule endoscopy, with China demonstrating significant international academic influence in this field.

Objective:To investigate the impact of daily step count on glycemic outcomes in community residents with impaired glucose tolerance (IGT).Methods:This was a prospective cohort study, in October 2018, 204 residents who met the criteria of IGT were recruited in the Shijingshan District in Beijing. The subjects were tested for fasting blood glucose, oral glucose tolerance test 2-hour blood glucose (2hBG), glycated hemoglobin A 1c (HbA 1c), lipid profile, liver and kidney function, as well as measurements of height, weight and waist circumference. A dedicated mobile application was used to deliver prediabetes health knowledge monthly. Online guidance was provided to answer questions and daily step count was collected using the application. Three years later, a follow-up was conducted to assess the participants′ glycemic outcomes and other indexes, and a total of 142 participants completed the follow-up review. According to daily step count, the subjects were categorized into high step count group (42 cases,>7 000 steps daily), moderate step count group (54 cases, 5 000-7 000 steps daily), and low step count group (46 cases,<5 000 steps daily). Subjects were categorized into diabetes group (30 cases), prediabetes group (77 cases) and normal glucose tolerance group (35 cases) with glycemic outcomes. Independent sample t test was used to compare the differences in blood glucose, blood lipids, and step counts between the two groups. Kruskal-Wallis H test or one-way ANOVA was used to compare the differences in blood glucose, blood lipids, and step counts between multiple groups. The χ2 test was used to compare the differences in glycemic outcomes between multiple groups. Multivariate logistic regression analysis was used to assess the impact of daily step counts and body mass index on glycemic outcomes. Linear regression analysis was used to evaluate the relationship between daily step counts and 2 h BG. Results:A total of 142 participants completed the 3-year follow-up, including 43 males and 99 females, with a mean age of (60.15±5.67) years. At baseline, males had significantly higher body mass index, waist circumference, and fasting blood glucose when compared to those in females [(26.97±2.43) vs (24.89±2.93) kg/m 2, (92.68±7.75) vs (83.83±8.60) cm, (5.83±0.61) vs (5.62±0.52) mmol/L], the total cholesterol and HDL-C were also significantly lower in males than those in females [(5.10±1.16) vs (5.55±0.95) mmol/L, (1.35±0.34) vs (1.56±0.35) mmol/L] (all P<0.05). After 3-year follow-up, 21.1% (30/142) of IGT participants progressed to diabetes, with an annual conversion rate of approximately 7%. The normal glucose tolerance group showed significantly higher daily step counts when compared with the prediabetes and diabetes groups [(7 886±2 867) vs (5 981±2 655) vs (4 117±2 674) steps] ( H=31.778, P<0.001). Individuals with higher daily step counts exhibited lower body mass index, 2 h BG, and HbA 1c level when compared with those in the ones with moderate and low step counts [(24.26±3.09) vs (25.44±3.38) vs (26.26±3.59) kg/m 2, (7.50±1.71) vs (9.15±3.30) vs (11.19±3.84) mmol/L, 5.97%±0.46% vs 6.14%±0.99% vs 6.40%±0.96%] (all P<0.05). Higher step count was positively correlated with the reversal of prediabetes to normal blood glucose levels (moderate step count, OR=0.297, 95% CI: 0.109-0.804; low step count, OR=0.055, 95% CI: 0.010-0.287), lower daily step count correlated positively with prediabetes progressing to diabetes ( OR=4.857, 95% CI: 1.140-20.689) (all P<0.05). For every additional 1 000 steps per day, the 2 h BG decreased by 0.5 mmol/L. Conclusion:As daily step count increases, the glucose metabolism improves in IGT community residents. Higher daily step count is associated with reversal of IGT to normal glucose tolerance, while lower daily step count may be associated with the progression of IGT to diabetes.

Objective:To integrate qualitative research on the experience of type 2 diabetes patients using self-management APP, so as to provide evidence support for the design and promotion of highly accepted diabetes self-management APP.Methods:This study is a Meta-synthesis. Qualitative research on experience of type 2 diabetes patients using self-management APP was retrieved through computer in China National Knowledge Infrastructure (CNKI) , WanFang, VIP, China Biology Medicine disc Literature Database, PubMed, Web of Science, Cochrane Library, Embase, CINAHL, PsycINFO, Ovid (LWW Journals) , Scopus Chinese and English databases. The retrieval time limit was from the establishment of the database to April 30, 2022. According to the quality evaluation criteria for qualitative research of the Joanna Briggs Institute (JBI) Evidence-Based Health Care Center, the methodology of the included article was evaluated, and the included article was integrated with the method of pooled Meta-synthesis.Results:A total of 11 articles were included, 48 research findings were extracted and summarized into 3 integration results and 14 new categories. The integration results included that self-management APP promoted patients to form continuous self-management behavior and improved physical and mental health, obstacle factors that affected patients' use of APP, and patients' suggestions for improving the function of APP.Conclusions:Patients feel the benefits of self-management APP, such as correct understanding of diabetes, disease control, and improvement of psychological status. When developing relevant APP, we should pay attention to the change of patient behavior, design the APP function based on user needs, conduct cultural adjustment, improve training and technical support, and improve its acceptance and promotion.

Objective:To systematically review the risk prediction models for hypoglycemia in diabetic patients.Methods:The literatures published up to March 25, 2022 was retrieved from PubMed, Embase, Web of Science, Cochrane Library, CINAHL, MEDLINE, China National Knowledge Infrastructure, Wanfang, VIP and SinoMed. Two researchers independently screened the literatures, extracted information, and applied the PROBAST tool to evaluate the quality of the included models.Results:A total of 11 literatures and 13 models were included. The area under the receiver operating characteristic curve or C statistic of all models was 0.666-0.890, with a high risk of bias and a low risk of applicability, and the most included predictors were chronic kidney disease and age. The main reason for the bias in the model were insufficient number of events in the dependent variable, improper handling of continuous variables, and screening of predictors by single factor analysis. Conclusions:The existing hypoglycemia risk prediction models for diabetic patients are still in the development stage, and medical and nursing staff can choose the existing hypoglycemia models according to the results of this systematic review and clinical practice. In the future, we should improve the existing models based on tools or carry out large-sample, multi-center, prospective cohort studies, and build a high-quality hypoglycemia risk prediction model for diabetic patients that is more suitable for China based on more comprehensive and accurate statistical methods and clinical data.

ATP is an important cofactor involved in many biocatalytic reactions that require energy input. Polyphosphate kinases (PPK) can provide energy for ATP-consuming reactions due to their cheap and readily available substrate polyphosphate. We selected ChPPK from Cytophaga hutchinsonii for substrate profiling and tolerance analysis. By molecular docking and site-directed mutagenesis, we rationally engineered the dual-substrate channel cavity of polyphosphate kinase to improve the catalytic activity of PPK. Compared with the wild type, the relative enzyme activity of the screened mutant ChPPK_K81H-K103V increased by 326.7%. Meanwhile, the double mutation expanded the substrate utilization range and tolerance of ChPPK, and improved its heat and alkali resistance. Subsequently, we coupled the glutathione bifunctional enzyme GshAB and ChPPK_K81H-K103V based on this ATP regeneration system, and glutathione was produced by cell-free catalysis upon disruption of cells. This system produced (25.4±1.9) mmol/L glutathione in 6 h upon addition of 5 mmol/L ATP. Compared with the system before mutation, glutathione production was increased by 41.9%. After optimizing the buffer, bacterial mass and feeding time of this system, (45.2±1.8) mmol/L glutathione was produced in 6 h and the conversion rate of the substrate l-cysteine was 90.4%. Increasing the ability of ChPPK enzyme to produce ATP can effectively enhance the conversion rate of substrate and reduce the catalytic cost, achieving high yield, high conversion rate and high economic value for glutathione production by cell-free catalysis. This study provides a green and efficient ATP regeneration system that may further power the ATP-consuming biocatalytic reaction platform.
Molecular Docking Simulation ; Catalysis ; Glutathione ; Adenosine Triphosphate

Health behavior decision-making often involves the balance of gains and losses at different time points,which affects the choice and maintenance of health behaviors.As a cognitive processing method of"pre-experiencing"future events,Episodic Future Thinking(EFT)can promote the formation of health intentions and health behavior change by increasing the value of future health outcomes.This paper reviews the concept,intervention model and action effect of EFT in health behaviors,in order to provide references for nurses to innovate health education and behavior management from the perspective of behavioral economics.

A chemical investigation on