BACKGROUND: Diabetic foot is a complex condition with high incidence, recurrence, mortality, and disability rates. Current treatments for diabetic foot ulcers are often insufficient. This study was conducted to identify potential therapeutic targets for diabetic foot. METHODS: Datasets related to diabetic foot and diabetic skin were retrieved from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using R software. Enrichment analysis was conducted to screen for critical gene functions and pathways. A protein interaction network was constructed to identify node genes corresponding to key proteins. The DEGs and node genes were overlapped to pinpoint target genes. Plasma and chronic ulcer samples from diabetic and non-diabetic individuals were collected. Western blotting, immunohistochemistry, and enzyme-linked immunosorbent assays were performed to verify the S100 calcium binding protein A9 (S100A9), inflammatory cytokine, and related pathway protein levels. Hematoxylin and eosin staining was used to measure epidermal layer thickness. RESULTS: In total, 283 common DEGs and 42 node genes in diabetic foot ulcers were identified. Forty-three genes were differentially expressed in the skin of diabetic and non-diabetic individuals. The overlapping of the most significant DEGs and node genes led to the identification of S100A9 as a target gene. The S100A9 level was significantly higher in diabetic than in non-diabetic plasma (178.40 ± 44.65 ng/mL vs. 40.84 ± 18.86 ng/mL) and in chronic ulcers, and the wound healing time correlated positively with the plasma S100A9 level. The levels of inflammatory cytokines (tumor necrosis factor-α, interleukin [IL]-1, and IL-6) and related pathway proteins (phospho-extracellular signal regulated kinase [ERK], phospho-p38, phospho-p65, and p-protein kinase B [Akt]) were also elevated. The epidermal layer was notably thinner in chronic diabetic ulcers than in non-diabetic skin (24.17 ± 25.60 μm vs. 412.00 ± 181.60 μm). CONCLUSIONS S100A9 was significantly upregulated in diabetic foot and was associated with prolonged wound healing. S100A9 may impair diabetic wound healing by disrupting local inflammatory responses and skin re-epithelialization.
Calgranulin B/therapeutic use* ; Diabetic Foot/metabolism* ; Humans ; Datasets as Topic ; Computational Biology ; Mice, Inbred C57BL ; Animals ; Mice ; Protein Interaction Maps ; Immunohistochemistry

OBJECTIVES: Stigma is common among community-dwelling patients with schizophrenia and has a profound negative impact on both psychiatric symptoms and quality of life. This study aims to explore the association between stigma and quality of life in this population and to examine the multiple mediating roles of anxiety and depression symptoms. METHODS: The multi-stage stratified cluster random sampling method was used to select the community-dwelling patients with schizophrenics in Chengdu, Sichuan Province, China. The questionnaire included general demographic characteristics, stigma question, the Generalized Anxiety Disorder-7 (GAD-7) scale, the Patient Health Questionnaire-9 (PHQ-9), and the 12-item Short Form Health Survey (SF-12). The SF-12 was used to measure quality of life, including physical health and mental health dimensions. A multiple mediation model was used to analyse the mediating effects of anxiety and depression symptoms together between stigma and quality of life. RESULTS: A total of 1 087 community patients with schizophrenia were included with a mean age of 50.68±12.73 years; 525 (48.30%) were male. Stigma was reported by 543 patients (49.95%). Anxiety symptoms were present in 292 patients (26.86%), and depression symptoms in 407 patients (37.44%). The physical health quality of life score was 72.01 ± 20.99, and the mental health quality of life score was 71.68 ± 19.38. Multiple mediation analysis showed that stigma directly affected quality of life, and also indirectly affected quality of life through anxiety and depression symptoms. Anxiety and depression jointly mediated 42.26% of the total effect of stigma on physical health quality of life and 47.51% on mental health quality of life. CONCLUSIONS Reducing stigma and preventing anxiety and depression symptoms in community-dwelling patients with schizophrenia can effectively improve their quality of life and support reintegration into society.
Humans ; Quality of Life ; Male ; Depression/psychology* ; Middle Aged ; Social Stigma ; Schizophrenia ; Female ; Anxiety/psychology* ; China ; Surveys and Questionnaires ; Adult ; Schizophrenic Psychology ; Independent Living ; Aged

OBJECTIVE To analyze the characteristics of 57 acquired immune deficiency syndrome(AIDS)patients complicated with cryptococcal meningitis and observe the treatment outcomes.METHODS Totally 57 AIDS pa-tients with complicated cryptococcal meningitis who were treated in Guiyang Public Health Treatment Center from Jan.2019 to Jun.2023 were continuously assigned as the cryptococcal meningitis group,meanwhile,57 patients with simple AIDS were chosen as the simple AIDS group based on a 1∶1 ratio matching case-control study.Both groups received standardized therapies on basis of the criteria.The clinical characteristics,T lymphocyte subsets,biochemical indexes and treatment outcomes were observed and compared between the two groups.RESULTS There were no significant differences in gastrointestinal reactions,fever and eye discomfort between the two groups;the incidence of neurological symptoms of the cryptococcal meningitis group was higher than that of the simple AIDS group(P＜0.05).There was significant difference in the peripheral blood T lymphocyte subsets be-tween the cryptococcal meningitis group and the simple AIDS group(P＜0.05).The levels of whole blood CD4+,CD4+/CD8+and CD8+of the cryptococcal meningitis group were lower than those of the simple AIDS group;the serum glucose(GLU)level of the cryptococcal meningitis group was lower than that of the simple AIDS group;the serum adenosine deaminase(ADA)level of the cryptococcal meningitis group was higher than that of the sim-ple AIDS group;the serum immunoglobulin A(IgA)level of the cryptococcal meningitis group was higher than that of the simple AIDS group(P＜0.05).There were no significant differences in the immunological failure,vir-ological failure and immunological failure plus virological failure between the two groups after the treatment for 6 months.CONCLUSIONS The incidence of neurological symptoms is higher among the patients with AIDS com-plicated with cryptococcal meningitis than among the patients with simple AIDS.The patients have poor treatment outcomes and more severe damage of T lymphocyte subset functions,and the levels of biochemical indexes vary a-mong the patients,which may provide bases for diagnosis of diseases and assessment of curative effect and prog-nosis.

Objective:To explore the direction of the association between smartphone multitasking behavior and comorbid symptoms of anxiety and depression (CAD) among college students.Methods:College students from one college located in Shanxi, Chongqing, and Shenzhen were selected between October and December 2021 using a multistage random cluster sampling method, and a follow-up visit was conducted in May 2022. The Assessment of Smartphone Multitasking for Adolescents, the Patient Health Questionnaire-9 Items, and the Generalized Anxiety Disorder Questionnaire-7 Items were used to assess the smartphone multitasking behaviors and CAD of college students. Multivariate logistic regression models were used to analyze the associations between smartphone multitasking behavior and CAD. Autoregressive cross-lagged models (ARCLM) were used to analyze the bidirectional associations between smartphone multitasking behavior and CAD.Results:A total of 953 college students were included in this study, including 323 (33.9%) males and 630 (66.1%) females, with an age of (18.89±1.33) years. The detection rates of CAD at baseline and follow-up were 25.5% and 27.5%, respectively. The mean of the total smartphone multitasking index at baseline was 2.11±0.48. The mean of smartphone and non-media activity multitasking index was 2.00±0.55. The mean of smartphone and other media activity multitasking index was 1.92±0.67. The mean of smartphone functional use multitasking index was 2.18±0.54. The multivariate logistic regression models showed that smartphone and non-media activity multitasking index ( OR=1.85, 95% CI: 1.39-2.45), smartphone and other media activity multitasking index ( OR=1.42, 95% CI: 1.10-1.83), and total smartphone multitasking index ( OR=1.66, 95% CI: 1.21-2.28) were positively associated with the risk of CAD among college students at baseline. The smartphone and non-media activity multitasking index ( OR=1.74,95% CI: 1.30-2.32), smartphone and other media activity multitasking index ( OR=1.37, 95% CI: 1.04-1.79) and total smartphone multitasking index ( OR=1.48, 95% CI: 1.06-2.06) were positively associated with the risk of CAD at follow-up. There was no statistical association between smartphone functional use multitasking index at baseline and CAD. The ARCLM showed that smartphone and non-media activity multitasking index ( β=0.974, P=0.029), smartphone and other media multitasking index ( β=0.798, P=0.003), and the total smartphone multitasking index ( β=1.379, P=0.011) at baseline could positively predict the risk of CAD at follow-up. The CAD at baseline could positively predict smartphone and other media multitasking index ( β=0.004, P=0.016) and smartphone functional use multitasking index at follow-up ( β=0.004, P=0.016). Conclusion:There is a bidirectional association between smartphone and other media activity multitasking and CAD among college students.

Objective To analyze the diagnostic value of serum biomarkers in patients with pulmonary tuberculosis complicated by invasive pulmonary aspergillosis.Methods A retrospective collection of laboratory test results,including blood analysis,liver function,lymphocyte counts,and cytokine levels,from 54 patients diagnosed with pulmonary tuberculosis and invasive pulmonary aspergillosis admitted to the Third People's Hospital of Kunming between January 2021 and May 2024.Additionally,70 patients with simple pulmonary tuberculosis and 50 healthy individuals were collected as control groups to compare serum biomarker levels across the three groups and analyze relevant factors and diagnostic value for pulmonary tuberculosis patients with invasive pulmonary aspergillosis.Results Among different age groups,the incidence of pulmonary tuberculosis with invasive pulmonary aspergillosis was 29 cases(53.7％)in youth,15 cases(27.8％)in middle age,and 10 cases(18.5％)in the elderly.In terms of gender distribution,there were 41 males(75.9％)and 13 females(24.1％).The serum levels of CRP(6.85[2.10,27.0])ng/L,PCT(0.05[0.05,0.15])ng/mL,RBC(4.55±0.65)× 1012/L,Hb(129.13±19.10)g/L,TP(66.23±6.82)g/L,ALB(37.03±4.77)g/L,and CHOL(4.30[3.71,4.91])mmol/L in the invasive pulmonary aspergillosis group showed no significant difference compared to the simple tuberculosis group and healthy control group(P＞0.05).The levels of CD3+T,CD4+T,and CD8+T in the invasive pulmonary aspergillosis group were significantly lower than those in the simple tuberculosis group and healthy control group(P＜0.05).The levels of IL-2,IL-4,IL-5,IL-8,IL-10,IL-12p70,IFN-α,and TNF-α in the invasive pulmonary aspergillosis group were significantly higher than those in the healthy control group(P＜0.05);IL-8,IL-12p70,and IFN-α were also higher compared to the simple tuberculosis group,with statistical significance(P＜0.05).Conclusion The population with pulmonary tuberculosis complicated by invasive pulmonary aspergillosis is predominantly male and younger.The serum indicators of infection severity and nutritional status in these patients are similar to those with simple tuberculosis and lack specificity;however,their immune function is significantly lower than that of simple tuberculosis patients.Multiple cytokines are elevated,particularly IL-8,IL-12p70,and IFN-α,which can aid in the differential diagnosis of pulmonary tuberculosis infection.

Objective:To develop an ultrasound multi-view fusion recognition model and evaluate its clinical value in diagnosing fetal conotruncal defects (CTD).Methods:This prospective study collected cardiac ultrasound images from fetuses at 20-32 weeks of gestation undergoing prenatal ultrasound at Dongguan Maternal and Child Health Hospital between September 2022 and May 2024. The case group comprised fetuses diagnosed with CTD, while controls with normal cardiac structures were collected at a 1∶2 ratio. Both groups were divided into modeling training and validation sets at a 3∶1 ratio. One optimal standard image each from the four-chamber view, left ventricular outflow tract view, right ventricular outflow tract view, and three vessels and trachea view was included per fetus. A deep learning-based multi-view fusion recognition model was developed to differentiate normal conotruncal anatomy from CTD. Model performance was validated against post-abortion pathology or postnatal echocardiography results. SAS software was used for statistical analysis to calculate the sensitivity and specificity of three fusion models (based on positivity in any two, three, or four views, and were designated as Fusion Model 1, Fusion Model 2, and Fusion Model 3, respectively), with the optimal model determined by the maximum Youden index. Senior, intermediate, and junior prenatal sonologists independently diagnosed cases in the validation set under blinding conditions. Their diagnostic results were compared with those of the optimal model. Paired Chi-square test (Cochran's Q test) was employed to compare the differences between the diagnostic accuracy rates of sonologists at different experience levels and the sensitivity of the optimal model, thereby analyzing the auxiliary diagnostic value of the multi-view fusion recognition model. Results:The study included 88 CTD cases, excluding six cases (non-CTD diagnosed by post-abortion pathology or postnatal echocardiography or poor image quality), divided into 60 training and 22 validation cases (12 tetralogy of Fallot, four double outlet right ventricle, three transposition of great arteries, three persistent truncus arteriosus). The control group included 176 cases, excluding 15 cases (other cardiac abnormalities confirmed postnatally or poor image quality after re-evaluation), divided into 120 training and 41 validation cases. The sensitivities of Fusion Model 1, Fusion Model 2, and Fusion Mudel 3 were 0.86, 0.64, and 0.27, while their specificities were 0.76, 0.95, and 1.00, respectively. Fusion Model 1 demonstrated the highest Youden index (0.62) and was selected as optimal. Its diagnostic sensitivity showed no significant difference from senior sonologists [86% vs. 91% (20/22), Bonferroni-corrected P>0.999], but was significantly higher than intermediate [55% (12/22), Bonferroni-corrected P=0.049] and junior sonologists [32% (7/22), Bonferroni-corrected P=0.003]. Conclusion:The deep learning multi-view fusion model achieved diagnostic performance comparable to senior sonologists, demonstrating potential value in assisting CTD diagnosis, training less experienced sonologists, and supporting research and education.

Objective:To explore the direction of the association between smartphone multitasking behavior and comorbid symptoms of anxiety and depression (CAD) among college students.Methods:College students from one college located in Shanxi, Chongqing, and Shenzhen were selected between October and December 2021 using a multistage random cluster sampling method, and a follow-up visit was conducted in May 2022. The Assessment of Smartphone Multitasking for Adolescents, the Patient Health Questionnaire-9 Items, and the Generalized Anxiety Disorder Questionnaire-7 Items were used to assess the smartphone multitasking behaviors and CAD of college students. Multivariate logistic regression models were used to analyze the associations between smartphone multitasking behavior and CAD. Autoregressive cross-lagged models (ARCLM) were used to analyze the bidirectional associations between smartphone multitasking behavior and CAD.Results:A total of 953 college students were included in this study, including 323 (33.9%) males and 630 (66.1%) females, with an age of (18.89±1.33) years. The detection rates of CAD at baseline and follow-up were 25.5% and 27.5%, respectively. The mean of the total smartphone multitasking index at baseline was 2.11±0.48. The mean of smartphone and non-media activity multitasking index was 2.00±0.55. The mean of smartphone and other media activity multitasking index was 1.92±0.67. The mean of smartphone functional use multitasking index was 2.18±0.54. The multivariate logistic regression models showed that smartphone and non-media activity multitasking index ( OR=1.85, 95% CI: 1.39-2.45), smartphone and other media activity multitasking index ( OR=1.42, 95% CI: 1.10-1.83), and total smartphone multitasking index ( OR=1.66, 95% CI: 1.21-2.28) were positively associated with the risk of CAD among college students at baseline. The smartphone and non-media activity multitasking index ( OR=1.74,95% CI: 1.30-2.32), smartphone and other media activity multitasking index ( OR=1.37, 95% CI: 1.04-1.79) and total smartphone multitasking index ( OR=1.48, 95% CI: 1.06-2.06) were positively associated with the risk of CAD at follow-up. There was no statistical association between smartphone functional use multitasking index at baseline and CAD. The ARCLM showed that smartphone and non-media activity multitasking index ( β=0.974, P=0.029), smartphone and other media multitasking index ( β=0.798, P=0.003), and the total smartphone multitasking index ( β=1.379, P=0.011) at baseline could positively predict the risk of CAD at follow-up. The CAD at baseline could positively predict smartphone and other media multitasking index ( β=0.004, P=0.016) and smartphone functional use multitasking index at follow-up ( β=0.004, P=0.016). Conclusion:There is a bidirectional association between smartphone and other media activity multitasking and CAD among college students.

OBJECTIVE To analyze the characteristics of 57 acquired immune deficiency syndrome(AIDS)patients complicated with cryptococcal meningitis and observe the treatment outcomes.METHODS Totally 57 AIDS pa-tients with complicated cryptococcal meningitis who were treated in Guiyang Public Health Treatment Center from Jan.2019 to Jun.2023 were continuously assigned as the cryptococcal meningitis group,meanwhile,57 patients with simple AIDS were chosen as the simple AIDS group based on a 1∶1 ratio matching case-control study.Both groups received standardized therapies on basis of the criteria.The clinical characteristics,T lymphocyte subsets,biochemical indexes and treatment outcomes were observed and compared between the two groups.RESULTS There were no significant differences in gastrointestinal reactions,fever and eye discomfort between the two groups;the incidence of neurological symptoms of the cryptococcal meningitis group was higher than that of the simple AIDS group(P＜0.05).There was significant difference in the peripheral blood T lymphocyte subsets be-tween the cryptococcal meningitis group and the simple AIDS group(P＜0.05).The levels of whole blood CD4+,CD4+/CD8+and CD8+of the cryptococcal meningitis group were lower than those of the simple AIDS group;the serum glucose(GLU)level of the cryptococcal meningitis group was lower than that of the simple AIDS group;the serum adenosine deaminase(ADA)level of the cryptococcal meningitis group was higher than that of the sim-ple AIDS group;the serum immunoglobulin A(IgA)level of the cryptococcal meningitis group was higher than that of the simple AIDS group(P＜0.05).There were no significant differences in the immunological failure,vir-ological failure and immunological failure plus virological failure between the two groups after the treatment for 6 months.CONCLUSIONS The incidence of neurological symptoms is higher among the patients with AIDS com-plicated with cryptococcal meningitis than among the patients with simple AIDS.The patients have poor treatment outcomes and more severe damage of T lymphocyte subset functions,and the levels of biochemical indexes vary a-mong the patients,which may provide bases for diagnosis of diseases and assessment of curative effect and prog-nosis.

Objective:To develop an ultrasound multi-view fusion recognition model and evaluate its clinical value in diagnosing fetal conotruncal defects (CTD).Methods:This prospective study collected cardiac ultrasound images from fetuses at 20-32 weeks of gestation undergoing prenatal ultrasound at Dongguan Maternal and Child Health Hospital between September 2022 and May 2024. The case group comprised fetuses diagnosed with CTD, while controls with normal cardiac structures were collected at a 1∶2 ratio. Both groups were divided into modeling training and validation sets at a 3∶1 ratio. One optimal standard image each from the four-chamber view, left ventricular outflow tract view, right ventricular outflow tract view, and three vessels and trachea view was included per fetus. A deep learning-based multi-view fusion recognition model was developed to differentiate normal conotruncal anatomy from CTD. Model performance was validated against post-abortion pathology or postnatal echocardiography results. SAS software was used for statistical analysis to calculate the sensitivity and specificity of three fusion models (based on positivity in any two, three, or four views, and were designated as Fusion Model 1, Fusion Model 2, and Fusion Model 3, respectively), with the optimal model determined by the maximum Youden index. Senior, intermediate, and junior prenatal sonologists independently diagnosed cases in the validation set under blinding conditions. Their diagnostic results were compared with those of the optimal model. Paired Chi-square test (Cochran's Q test) was employed to compare the differences between the diagnostic accuracy rates of sonologists at different experience levels and the sensitivity of the optimal model, thereby analyzing the auxiliary diagnostic value of the multi-view fusion recognition model. Results:The study included 88 CTD cases, excluding six cases (non-CTD diagnosed by post-abortion pathology or postnatal echocardiography or poor image quality), divided into 60 training and 22 validation cases (12 tetralogy of Fallot, four double outlet right ventricle, three transposition of great arteries, three persistent truncus arteriosus). The control group included 176 cases, excluding 15 cases (other cardiac abnormalities confirmed postnatally or poor image quality after re-evaluation), divided into 120 training and 41 validation cases. The sensitivities of Fusion Model 1, Fusion Model 2, and Fusion Mudel 3 were 0.86, 0.64, and 0.27, while their specificities were 0.76, 0.95, and 1.00, respectively. Fusion Model 1 demonstrated the highest Youden index (0.62) and was selected as optimal. Its diagnostic sensitivity showed no significant difference from senior sonologists [86% vs. 91% (20/22), Bonferroni-corrected P>0.999], but was significantly higher than intermediate [55% (12/22), Bonferroni-corrected P=0.049] and junior sonologists [32% (7/22), Bonferroni-corrected P=0.003]. Conclusion:The deep learning multi-view fusion model achieved diagnostic performance comparable to senior sonologists, demonstrating potential value in assisting CTD diagnosis, training less experienced sonologists, and supporting research and education.