OBJECTIVE To investigate the stability and compatibility of butorphanol， nicardipine， urapidil， and tirofiban. METHODS A micro-infusion pump was used to simulate the infusion process. Samples were collected in real time from the needle tip at 0， 2， 4， 6， and 8 h after mixing of the four drugs. The appearance， pH， and number of insoluble particles were examined. The contents of butorphanol， nicardipine， urapidil， and tirofiban were determined using the ultra-high-performance liquid chromatography method. RESULTS Within 8 hours， all mixed solutions remained clear and transparent， with no visible turbidity， precipitation， color change， or gas generation. The pH fluctuation ranged from 0.02 to 0.09， both within 0.1 pH units. The number of insoluble particles ≥10 μm in size in each compatibility solution was ≤9， and the number of insoluble particles ≥25 μm was ≤2， meeting the requirements of the 2025 edition of the Chinese Pharmacopoeia （Volume Ⅳ）. The relative percentage contents of butorphanol， nicardipine， urapidil， and tirofiban at 8 hours after compatibility mixing ranged from 92.38% to 113.40%. CONCLUSIONS Within 8 hours under simulated clinical micro-infusion pump infusion conditions， the stability and compatibility of the mixed solution containing butorphanol， nicardipine， urapidil， and tirofiban were satisfactory.

Objective:To investigate the psychological characteristics of self-injurious behavior (SIB) among Chinese adolescents with depression and the chain mediation mechanism of emotional-behavioral difficulties.Methods:A total of 214 hospitalized adolescents with depression (158 SIB, 56 non-SIB) were assessed using the Rosenberg self-esteem scale (SES), Barratt impulsiveness scale-11 (BIS-11), self-rating depression scale (SDS), and strength and difficulty questionnaire (SDQ) from March 2022 to January 2024. Permutation test, ridge regression, and Bootstrap chain mediation models were applied to identify predictors and pathways by R 4.4.1 software.Results:The SIB group exhibited significantly lower self-esteem (21.6±4.9 vs 24.8±6.4, F=14.9, P<0.01) compared with the non-SIB group.The scores of impulsivity (68.1±8.9 vs 63.2±10.6), depression (33.0±6.2 vs 27.5±7.6), and emotional-behavioral difficulties (21.5±5.8 vs 17.4±7.5) in the SIB group were significantly higher than those in the non-SIB group( F=11.5, 29.0, 17.9, all P<0.01). Ridge regression identified depression ( β=0.137, P<0.001) as the core predictor. Chain mediation analysis revealed that the direct effect of emotional-behavioral difficulties on SIB was not significant ( β=0.004, 95% CI=-0.011-0.018).Emotional-behavioral difficulties affected self-injurions behavior indirectly through the mediating effects of functional impairment and depression, as well as their chain mediating effect, with a total indirect effect of 0.015 (95% CI=0.006-0.026). Conclusion:SIB is driven by the chain mechanism linking emotional-behavioral difficulties, functional impairment, and depression, necessitating integrated interventions targeting emotional regulation and functional recovery.

Objective To develop the Ego Depletion Scale for Type 2 Diabetes Patients and evaluate its reliability and validity,and to provide a specific assessment tool for evaluating ego-depletion in self-management.Methods Guided by the self-control strength model,the initial scale was constructed through literature review,semi-structured interviews,2 rounds of expert consultation,and a pilot survey.A convenience sampling method was employed to recruit 460 patients with Type 2 Diabetes from the endocrinology department of a tertiary hospital in Wuhan,Hubei Province,between April and July 2024.They were randomly divided into 2 subsets for exploratory factor analysis and confirmatory factor analysis.Results A total of 451 valid questionnaires were collected.Exploratory factor analysis extracted 6 common factors,with a cumulative variance contribution of 73.231％.In confirmatory factor analysis,an item was deleted due to failing to meet the standardized loading value criterion.The revised Ego Depletion Scale for Type 2 Diabetes Patients comprised 6 dimensions and 22 items.The total Cronbach's α coefficient was 0.911;split-half reliability was 0.744;the content validity index was 0.860.Correlation coefficients between the total score and scores of each dimension of the scale and the total score of the Self-Regulatory Fatigue Scale ranged from 0.558 to 0.946(P＜0.001).Conclusion The scale exhibits robust reliability and validity,serving as a scientifically instrument for assessing ego depletion in patients with Type 2 Diabetes.

Objective:To explore the internal mechanism by which self-evaluation influences non-suicidal self-injury (NSSI) in adolescent patients with depressive disorder.Methods:Clinical data from 214 adolescent patients with depressive disorder hospitalized at Suzhou Guangji Hospital from March 2022 to January 2024 were prospectively collected. According to the DSM-5 diagnostic criteria for NSSI, participants were divided into an NSSI group (158 cases [38 males, 120 females, age 12-17 (14.2±1.5) years]) and a non-NSSI group (56 cases [20 males, 36 females, age 12-18 (14.5±1.8) years]). A self-developed basic information questionnaire was used to collect demographic data. Standardized tools including the Self-rating Depression Scale (SDS), Inventory of Parent and Peer Attachment (IPPA), Self-acceptance Questionnaire (SAQ), and Perceived Stress Scale-10 (PSS-10) were used to assess their depression level, parental attachment level, self-evaluation/acceptance level, perceived stress level, and other relevant psychological characteristics. Differences in psychological characteristics between the two groups were compared. Logistic regression, correlation analysis, and mediation effect models were used to explore the relationships between variables and NSSI and their mechanisms.Results:The NSSI group had significantly higher total scores on the SDS (41.3±7.7 vs. 34.4±9.3) and PSS-10 (25.5±6.1 vs. 21.3±6.5) than the non-NSSI group ( F=29.12, F=18.17, respectively; all P<0.001). Conversely, the NSSI group had significantly lower total scores on the SAQ (31.2±8.8 vs. 35.9±8.9) and IPPA (56.3±13.6 vs. 63.4±13.8) compared to the non-NSSI group ( F=11.24, F=10.84, respectively; all P<0.001). Stepwise logistic regression analysis identified depression level (SDS total score, OR=1.12, 95% CI: 1.05-1.19), self-evaluation (SAQ subscale score, OR=1.17, 95% CI: 1.04-1.31), and perceived stress (PSS-10 total score, OR=1.11, 95% CI: 1.01-1.22) as predictors of NSSI (all P<0.05). Chain mediation analysis showed that self-evaluation had a significant positive direct effect ( β=0.025, P<0.01) and a negative indirect effect ( β=-0.038, P<0.001) on NSSI, with a negative total effect ( β=-0.012, P<0.05). The indirect effect was realized through three pathways: a single mediation pathway of self-evaluation via perceived stress ( β=-0.016), a single mediation pathway of self-evaluation via depression ( β=-0.011), and a chain mediation pathway of self-evaluation via perceived stress and depression ( β=-0.011) (all P<0.05). Conclusion:Self-evaluation influences NSSI behavior through a dual mechanism involving both direct and indirect effects. The indirect protective effect is primarily achieved by reducing perceived stress and depression levels.

Objective To develop the Ego Depletion Scale for Type 2 Diabetes Patients and evaluate its reliability and validity,and to provide a specific assessment tool for evaluating ego-depletion in self-management.Methods Guided by the self-control strength model,the initial scale was constructed through literature review,semi-structured interviews,2 rounds of expert consultation,and a pilot survey.A convenience sampling method was employed to recruit 460 patients with Type 2 Diabetes from the endocrinology department of a tertiary hospital in Wuhan,Hubei Province,between April and July 2024.They were randomly divided into 2 subsets for exploratory factor analysis and confirmatory factor analysis.Results A total of 451 valid questionnaires were collected.Exploratory factor analysis extracted 6 common factors,with a cumulative variance contribution of 73.231％.In confirmatory factor analysis,an item was deleted due to failing to meet the standardized loading value criterion.The revised Ego Depletion Scale for Type 2 Diabetes Patients comprised 6 dimensions and 22 items.The total Cronbach's α coefficient was 0.911;split-half reliability was 0.744;the content validity index was 0.860.Correlation coefficients between the total score and scores of each dimension of the scale and the total score of the Self-Regulatory Fatigue Scale ranged from 0.558 to 0.946(P＜0.001).Conclusion The scale exhibits robust reliability and validity,serving as a scientifically instrument for assessing ego depletion in patients with Type 2 Diabetes.

Objective To systematically evaluate malnutrition risk factors in diabetic foot patients through systematic review and inform evidence-based nutritional interventions.Methods A top-down search of the literature on risk factors for malnutrition in patients with diabetic foot was conducted according to the"6S"pyramid model,using a computerized decision-making system,clinical guideline websites,professional association websites and databases,with a timeframe of up to March 2025 for the search.Totally 2 researchers independently performed literature screening,quality assessment,and data extraction.Meta-analysis was conducted using Stata 18 software.Results Totally 23 studies with a total sample size of 5 068 cases were included.There were 10 influencing factors being extracted,including age(OR=2.709),BMI(MD=0.709),duration of diabetes mellitus(OR=2.589),glyco-sylated hemoglobin(OR=2.190),albumin(MD=0.578),hemoglobin(OR=2.948),infection(OR=1.816),C-reactive protein(OR=2.228),Wagner classification of diabetic foot(OR=4.620)and degree of self-care(OR=0.220).The incidence of malnutrition in DFU patients who were assessed by the MNA-SF tool,the MNA tool and GLIM tool were 52.2％,70.2％and 41.4％.Conclusion The incidence of malnutrition in DFU patients is relatively high.Healthcare providers should continuously monitor the nutritional status of diabetic foot patients and implement personalized intervention plans to prevent malnutrition.

The transcription factor HOXB13 plays crucial roles in cancer development. HOXB13 is abnormally expressed in most cancers, which makes it a valuable therapeutic target for cancer therapy. The level of HOXB13 differs significantly between healthy and cancer tissues, which indicates that the level of HOXB13 is closely related to carcinogenesis. The regulatory network mediated by HOXB13 in cancer proliferation, metastasis, and invasion has been systematically investigated. Moreover, HOXB13 variants play distinct roles in different cancers and populations. By understanding the molecular mechanisms and mutation features of HOXB13, we provide a comprehensive overview of carcinogenesis networks dependent on HOXB13. Finally, we discuss advancements in anticancer therapy targeting HOXB13 and the roles of HOXB13 in drug resistance to molecular-targeted therapies, which serves as a foundation for developing HOXB13-targeted drugs for clinical diagnosis and cancer therapies.
Humans ; Neoplasms/metabolism* ; Homeodomain Proteins/metabolism* ; Carcinogenesis/genetics* ; Mutation ; Gene Expression Regulation, Neoplastic ; Molecular Targeted Therapy ; Drug Resistance, Neoplasm/genetics*

Objective To systematically evaluate malnutrition risk factors in diabetic foot patients through systematic review and inform evidence-based nutritional interventions.Methods A top-down search of the literature on risk factors for malnutrition in patients with diabetic foot was conducted according to the"6S"pyramid model,using a computerized decision-making system,clinical guideline websites,professional association websites and databases,with a timeframe of up to March 2025 for the search.Totally 2 researchers independently performed literature screening,quality assessment,and data extraction.Meta-analysis was conducted using Stata 18 software.Results Totally 23 studies with a total sample size of 5 068 cases were included.There were 10 influencing factors being extracted,including age(OR=2.709),BMI(MD=0.709),duration of diabetes mellitus(OR=2.589),glyco-sylated hemoglobin(OR=2.190),albumin(MD=0.578),hemoglobin(OR=2.948),infection(OR=1.816),C-reactive protein(OR=2.228),Wagner classification of diabetic foot(OR=4.620)and degree of self-care(OR=0.220).The incidence of malnutrition in DFU patients who were assessed by the MNA-SF tool,the MNA tool and GLIM tool were 52.2％,70.2％and 41.4％.Conclusion The incidence of malnutrition in DFU patients is relatively high.Healthcare providers should continuously monitor the nutritional status of diabetic foot patients and implement personalized intervention plans to prevent malnutrition.

Objective:To investigate the psychological characteristics of self-injurious behavior (SIB) among Chinese adolescents with depression and the chain mediation mechanism of emotional-behavioral difficulties.Methods:A total of 214 hospitalized adolescents with depression (158 SIB, 56 non-SIB) were assessed using the Rosenberg self-esteem scale (SES), Barratt impulsiveness scale-11 (BIS-11), self-rating depression scale (SDS), and strength and difficulty questionnaire (SDQ) from March 2022 to January 2024. Permutation test, ridge regression, and Bootstrap chain mediation models were applied to identify predictors and pathways by R 4.4.1 software.Results:The SIB group exhibited significantly lower self-esteem (21.6±4.9 vs 24.8±6.4, F=14.9, P<0.01) compared with the non-SIB group.The scores of impulsivity (68.1±8.9 vs 63.2±10.6), depression (33.0±6.2 vs 27.5±7.6), and emotional-behavioral difficulties (21.5±5.8 vs 17.4±7.5) in the SIB group were significantly higher than those in the non-SIB group( F=11.5, 29.0, 17.9, all P<0.01). Ridge regression identified depression ( β=0.137, P<0.001) as the core predictor. Chain mediation analysis revealed that the direct effect of emotional-behavioral difficulties on SIB was not significant ( β=0.004, 95% CI=-0.011-0.018).Emotional-behavioral difficulties affected self-injurions behavior indirectly through the mediating effects of functional impairment and depression, as well as their chain mediating effect, with a total indirect effect of 0.015 (95% CI=0.006-0.026). Conclusion:SIB is driven by the chain mechanism linking emotional-behavioral difficulties, functional impairment, and depression, necessitating integrated interventions targeting emotional regulation and functional recovery.

Objective:To explore the internal mechanism by which self-evaluation influences non-suicidal self-injury (NSSI) in adolescent patients with depressive disorder.Methods:Clinical data from 214 adolescent patients with depressive disorder hospitalized at Suzhou Guangji Hospital from March 2022 to January 2024 were prospectively collected. According to the DSM-5 diagnostic criteria for NSSI, participants were divided into an NSSI group (158 cases [38 males, 120 females, age 12-17 (14.2±1.5) years]) and a non-NSSI group (56 cases [20 males, 36 females, age 12-18 (14.5±1.8) years]). A self-developed basic information questionnaire was used to collect demographic data. Standardized tools including the Self-rating Depression Scale (SDS), Inventory of Parent and Peer Attachment (IPPA), Self-acceptance Questionnaire (SAQ), and Perceived Stress Scale-10 (PSS-10) were used to assess their depression level, parental attachment level, self-evaluation/acceptance level, perceived stress level, and other relevant psychological characteristics. Differences in psychological characteristics between the two groups were compared. Logistic regression, correlation analysis, and mediation effect models were used to explore the relationships between variables and NSSI and their mechanisms.Results:The NSSI group had significantly higher total scores on the SDS (41.3±7.7 vs. 34.4±9.3) and PSS-10 (25.5±6.1 vs. 21.3±6.5) than the non-NSSI group ( F=29.12, F=18.17, respectively; all P<0.001). Conversely, the NSSI group had significantly lower total scores on the SAQ (31.2±8.8 vs. 35.9±8.9) and IPPA (56.3±13.6 vs. 63.4±13.8) compared to the non-NSSI group ( F=11.24, F=10.84, respectively; all P<0.001). Stepwise logistic regression analysis identified depression level (SDS total score, OR=1.12, 95% CI: 1.05-1.19), self-evaluation (SAQ subscale score, OR=1.17, 95% CI: 1.04-1.31), and perceived stress (PSS-10 total score, OR=1.11, 95% CI: 1.01-1.22) as predictors of NSSI (all P<0.05). Chain mediation analysis showed that self-evaluation had a significant positive direct effect ( β=0.025, P<0.01) and a negative indirect effect ( β=-0.038, P<0.001) on NSSI, with a negative total effect ( β=-0.012, P<0.05). The indirect effect was realized through three pathways: a single mediation pathway of self-evaluation via perceived stress ( β=-0.016), a single mediation pathway of self-evaluation via depression ( β=-0.011), and a chain mediation pathway of self-evaluation via perceived stress and depression ( β=-0.011) (all P<0.05). Conclusion:Self-evaluation influences NSSI behavior through a dual mechanism involving both direct and indirect effects. The indirect protective effect is primarily achieved by reducing perceived stress and depression levels.