1.Correlation between beverage dependence and sleep quality among college students
Chinese Journal of School Health 2025;46(8):1125-1129
Objective:
To explore the relationship between beverage dependence and sleep quality among college students, providing empirical evidence for improving their sleep quality.
Methods:
From December 2024 to January 2025, a convenience sampling method was used to conduct a questionnaire survey among 3 974 college students from four universities in Anhui Province. The Beverage Addiction Scale for College Students (BASCS) was used to assess beverage dependence, and the Self rating Scale of Sleep(SRSS) was used to evaluate sleep quality. A multivariate Logistic regression model was employed to analyze the relationship between beverage dependence and sleep quality, and a restricted cubic spline model was used to examine the dose response relationship between the two.
Results:
The positive rate of beverage dependence symptoms among college students was 7.6%, with positive rates of 9.6%, 13.8%, and 7.4% for the withdrawal symptoms, health effects, and dependence symptoms dimensions, respectively. The detection rate of sleep disorders was 23.6%. Multivariate Logistic regression analysis showed that after adjusting for covariates such as grade, gender, and body mass index, compared with the no beverage dependence group, students with positive beverage dependence symptoms had a higher risk of sleep disorders( OR =3.71, 95% CI =2.87-4.80, P <0.01). The OR (95% CI ) for sleep disorders among students with positive symptoms in the withdrawal symptoms, health effects, and dependence symptoms dimensions were 2.80(2.22-3.53), 2.38(1.95-2.91), and 2.45(1.89-3.18)(all P <0.01). Further analysis using a restricted cubic spline model revealed that the overall beverage dependence score and its three dimensional scores were approximately linearly related to the risk of sleep disorders among college students (all nonlinear P >0.05).
Conclusions
Beverage dependence is associated with sleep quality among college students. Schools should take multiple approaches, such as health education on beverage awareness, to improve students sleep quality.
2.Therapeutic effects and mechanisms of M2 macrophage exosome spray on pressure injuries
Xiang YU ; Peipei JIA ; Xinying LI ; Junjun YANG ; Gaofeng GUO ; Lianfang LU
Journal of Pharmaceutical Practice and Service 2025;43(9):436-442
Objective To investigate the effects and underlying mechanisms of a spray prepared from exosomes derived from M2 macrophages induced by interleukin-4 (IL-4) and tantalum particles (Ta) on the healing of pressure ulcers. Methods Bone marrow-derived macrophages were polarized into M2 macrophages using IL-4 or Ta, and exosomes (Exo-IL-4/Exo-Ta) were extracted. The regulatory effects of Exo-IL-4/Exo-Ta on M1 macrophage phenotypes and fibroblast matrix secretion were evaluated in vitro. Proteomic analysis was conducted to explore the biological processes and regulatory networks associated with Exo-Ta. A rat pressure ulcer model was used to assess the effects of Exo-IL-4/Exo-Ta spray on wound healing rate, inflammatory cell infiltration, and collagen deposition. Results In vitro, Exo-IL-4/Exo-Ta induced the polarization of M1 macrophages to M2 macrophages, reduced the secretion of pro-inflammatory factors, and promoted the expression of anti-inflammatory substances. Additionally, Exo-IL-4/Exo-Ta enhanced the production of collagen and fibronectin in fibroblasts. Proteomic analysis revealed that Exo-Ta primarily participated in biological processes such as energy metabolism and macromolecule biosynthesis. In vivo, Exo-IL-4/Exo-Ta spray accelerated wound healing, reduced inflammatory infiltration, and improved tissue remodeling in the rat pressure ulcer model. Conclusion Exosome sprays derived from M2 macrophages could accelerate pressure ulcer healing by modulating inflammation and promoting tissue regeneration, which demonstrated excellent clinical application potential.
3.Application effect evaluation of patient service intelligent management platform based on one hospital and multiple districts
Hanxu LANG ; Peipei JIA ; Lianfang LU ; Juan FENG ; Houping ZHAO ; Lili WEI
Modern Hospital 2025;25(3):417-421
Objective The sample hospital is currently in the exploration stage of creating patient satisfaction service un-der the one-hospital and multi-district management mode.In order to improve the overall feeling of patients in the process of hos-pital treatment,the application effect of the existing all-round full-cycle patient service intelligent management platform in the hos-pital is quantitatively evaluated,so as to better improve the service mode.Methods A survey was conducted to collect satisfac-tion data from two groups:the experimental group,which utilized the comprehensive and full-cycle patient service intelligent man-agement platform for diagnosis and treatment services,and the control group,which followed the conventional patient admission and discharge process.The work efficiency number was obtained and calculated through the background of the system,including the average time to handle hospitalization procedures,the average waiting time for examination,the average time to handle dis-charge procedures,the time spent on each follow-up visit and the response rate of follow-up patients.The data were analyzed sta-tistically.Results The work efficiency of the experimental group was significantly better than that of the control group,and the satisfaction of hospitalized patients and staff was higher than that of the control group.Conclusion The application of the com-prehensive and full-cycle patient service intelligent management platform can improve the satisfaction of patients and staff,opti-mize the efficiency of treatment,and better serve the management mode of one hospital and multiple districts.
4.Risk Factors of Cardiomyopathy in Patients with Diabetes and Their Correlations with the Levels of Serum FOXO1,GDF11 and MMP3
Shengxia ZHAO ; Peipei LU ; Yuan CHEN ; Jinping SONG
Journal of Kunming Medical University 2025;46(8):78-85
Objective To explore the risk factors of cardiomyopathy in patients with diabetes and their correlations with the levels of serum fork head box protein O1(FOXO1),growth differentiation factor 11(GDF11),and matrix metalloproteinase-3(MMP3).Methods 200 patients with diabetes complicated with cardiomyopathy and 200 patients with simple diabetes admitted to the People's Hospital of Xinjiang Uygur Autonomous Region from September 2023 to April 2025 were selected to detect serum FOXO1,GDF11 and MMP3 levels,analyze their correlation with cardiac function parameters,screen risk factors through multifactor logistic regression,construct a nomogram model and a receiver operating characteristic(ROC)curve,and evaluate the diagnostic value.Results The duration of diabetes cardiomyopathy group≥10 years,the expression rate of reactive oxygen species(ROS)≥90%,the insulin resistance index and the levels of FOXO1 and MMP3 were significantly higher than those in the simple diabetes group(P<0.05),and the level of GDF11 was lower than that in the simple diabetes group(P<0.05).FOXO1 and MMP3 were positively correlated with E/e'and negatively correlated with LVEF and E/A;GDF11 was negatively correlated with E/e'and positively correlated with LVEF and E/A(P<0.05).The nomogram model showed that the weights of the influencing factors were GDF11,FOXO1,insulin resistance index,MMP3,ROS expression rate,and the course of diabetes.The model calibration was good(χ2=7.336,P=0.719).The combined diagnostic AUC of FOXO1,GDF11,and MMP3 was 0.950,which was better than that of a single indicator(P<0.05).Conclusion GDF11,FOXO1,Insulin resistance index,MMP3,ROS expression rate and the course of diabetes are risk factors for diabetes cardiomyopathy,and the combination of the three is of high diagnostic value.
5.Role of amino acid metabolism in autoimmune hepatitis and related therapeutic targets
Peipei GUO ; Yang XU ; Jiaqi SHI ; Yang WU ; Lixia LU ; Bin LI ; Xiaohui YU
Journal of Clinical Hepatology 2025;41(3):547-551
Autoimmune hepatitis (AIH) is a chronic inflammatory liver disease. The pathogenesis of AIH remains unclear, but it is mainly autoimmune injury caused by the breakdown of autoimmune tolerance due to the abnormal activation of the immune system, while the specific molecular mechanism remains unknown. Recent studies have shown that abnormal amino acid metabolism plays an important role in the development and progression of AIH. This article reviews the research advances in amino acid metabolic reprogramming in AIH, in order to provide a theoretical basis for amino acid metabolism as a new target for the clinical diagnosis and treatment of AIH.
6.Expression characteristics of CD8 +T lymphocyte subsets and immune checkpoint in peripheral blood of patients with brucellosis
Qian WANG ; Lingling WANG ; Peipei LU ; Yezi LIU ; Shuling LI ; Xiaoyu ZHU ; Jintong JIA ; Zhiwei LI
Chinese Journal of Laboratory Medicine 2025;48(5):640-649
Objective:To investigate the expression levels, correlation, and diagnostic efficacy of peripheral blood CD8 +T lymphocyte subsets and different immune checkpoint markers in patients with Brucellosis. Method:A case-control study was conducted on 32 patients with acute phase brucellosis (27 males and 5 females, aged 36 (30, 43) years), 38 patients with chronic phase brucellosis (30 males and 8 females, aged 40 (32, 48) years), and 30 healthy controls (24 males and 6 females, aged 39 (32, 46) years), who underwent physical examination at Xinjiang Uygur Autonomous Region People′s Hospital from February 1, 2021 to December 31, 2023. All subjects had fasting blood sampling once in the morning. Flow cytometry was used to detect the proportion of peripheral blood lymphocyte subsets, the expression levels of CD8 +T lymphocyte surface programmed cell death receptor-1 (PD-1), T lymphocyte immunoglobulin receptor with Ig and ITIM domains (TIGIT), T cell immunoglobulin and mucin domain containing protein 3 (TIM-3), perforin and granzyme B. The changes in these indicators during the acute and chronic phases of the disease were observed, and correlation analysis was performed using Spearman′s method. Receiver Operating Characteristic Curve (ROC) analysis is used to evaluate the diagnostic value of immunological indicators with differences in acute and chronic brucellosis. Results:CD3 +T lymphocyte in the chronic group (70.71%±8.78%) is significantly lower than that in the healthy control group (74.65%±7.31%) ( P<0.05), and CD4 +T lymphocyte in the acute phase group (39.52%±5.85%) is also lower than that in the healthy control group (45.10%±5.18%) ( P<0.01); while CD8 +T lymphocyte in the acute group (31.73%±5.87%) is significantly higher than that in the chronic phase group (26.75%±4.71%) ( P<0.001). There was a statistically significant difference ( P<0.001) in CD8+CD28 -T lymphocyte among the acute group (69.85% (58.62%, 78.55%)), chronic group (86.46% (73.30%, 92.52%)) and healthy control group (25.39% (20.60%,32.90%)), when compared pairwise. The expression levels of immune checkpoint PD-1, TIGIT, and TIM-3 on the surface of CD8 +T lymphocytes were higher in both the acute and chronic groups than in the healthy control group ( P<0.001). The expression level of perforin secreted by CD8 +T lymphocytes in the acute and chronic groups was lower than that in the healthy control group ( P<0.05), while the expression level of granzyme B in the acute and chronic groups was higher than that in the healthy control group ( P<0.01). The proportion of CD8 +CD28 -T lymphocytes in brucellosis patients was positively correlated with the expression levels of TIGIT and TIM-3 ( r=0.624, 0.406, P<0.001). The ROC curve combined with the proportion of CD8 +CD28 -T lymphocytes and the proportion of TIGIT on the surface of CD8 +T lymphocytes can distinguish acute and chronic brucellosis. The Area Under Curve (AUC) is 0.973, which has certain implications for clinical differentiation of patients with acute and chronic diseases. Conclusion:The CD8 +T lymphocyte subsets in patients with brucellosis exhibit dynamic changes, accompanied by changes in relevant immune checkpoint molecules, and can regulate the activation and inhibition of the immune status of brucellosis patients. The synergistic effect of CD8 +CD28 -T cells and TIGIT/TIM-3 may be a key mechanism of driving chronicity, and their combined diagnosis can serve as a clinical staging marker.
7.Cannabidiol alleviates methamphetamine addiction via targeting ATP5A1 and modulating the ATP-ADO-A1R signaling pathway.
Sha JIN ; Cong LIN ; Peipei LI ; Xue WANG ; Yibo WANG ; Cong ZHANG ; Xuenan WANG ; Yinghua PENG ; Haohong LI ; Yuyuan LU ; Xiaohui WANG
Acta Pharmaceutica Sinica B 2025;15(10):5261-5276
Cannabidiol (CBD), a non-psychoactive cannabinoid, shows great promise in treating methamphetamine (METH) addiction. Nonetheless, the molecular target and the mechanism through which CBD treats METH addiction remain unexplored. Herein, CBD was shown to counteract METH-induced locomotor sensitization and conditioned place preference. Additionally, CBD mitigated the adverse effects of METH, such as cristae loss, a decline in ATP content, and a reduction in membrane potential. Employing an activity-based protein profiling approach, a target fishing strategy was used to uncover CBD's direct target. ATP5A1, a subunit of ATP synthase, was identified and validated as a CBD target. Moreover, CBD demonstrated the ability to ameliorate METH-induced ubiquitination of ATP5A1 via the D376 residue, thereby reversing the METH-induced reduction of ATP5A1 and promoting the assembly of ATP synthase. Pharmacological inhibition of the ATP efflux channel pannexin 1, blockade of ATP hydrolysis by a CD39 inhibitor, and blocking the adenosine A1 receptor (A1R) all attenuated the therapeutic benefits of CBD in mitigating METH-induced behavioral sensitization and CPP. Moreover, the RNA interference of ATP5A1 in the ventral tegmental area resulted in the reversal of CBD's therapeutic efficacy against METH addiction. Collectively, these data show that ATP5A1 is a target for CBD to inhibit METH-induced addiction behaviors through the ADO-A1R signaling pathway.
8.The predictive value of thromboelastography combined with serum D-D and TBIL for postoperative DVT in patients with hip fracture
Shengxia ZHAO ; Jinping SONG ; Peipei LU
International Journal of Laboratory Medicine 2025;46(16):1973-1977,1983
Objective To explore the predictive value of thromboelastography(TEG)combined with ser-um D-dimer(D-D)and total bilirubin(TBIL)in the risk of postoperative deep vein thrombosis(DVT)in pa-tients with hip fracture.Methods A total of 120 patients with hip fracture who underwent surgical treatment in this hospital from January 2022 to January 2024 were retrospectively selected.According to the occurrence of postoperative DVT,the patients were divided into DVT group(n=34)and non-DVT group(n=86).The TEG parameters[coagulation reaction time(R),blood clot formation time(K),α angle and maximum ampli-tude of thrombus(MA)],D-D and TBIL levels were compared between the two groups before operation.Mul-tivariate Logistic regression was used to analyze the influencing factors of postoperative DVT in patients with hip fracture.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of TBIL,D-D and TEG parameters for postoperative DVT in patients with hip fracture.Results Compared with the non-DVT group,the TBIL level,R value and K value in the DVT group were significantly decreased,while the D-D level,α angle and MA value were significantly increased(P<0.05).Multivariate Logistic regression anal-ysis showed that TBIL,D-D and TEG parameters were the influencing factors of postoperative DVT in pa-tients with hip fracture(P<0.05).ROC curve results showed that the area under the curve of TBIL,D-D,TEG parameters combined to predict postoperative DVT in patients with hip fracture was 0.940,the sensitivi-ty was 82.4%,and the specificity was 93.0%.Conclusion TEG combined with D-D and TBIL levels have a high predictive value in postoperative DVT in patients with hip fracture,which can be used in the early evalua-tion of postoperative DVT in patients with hip fracture,and help to improve the prognosis of patients.
9.Predictive value of iRhom1, iRhom2 and TNF-α levels for the prognosis of patients with cervical cancer
Tao HAN ; Peipei JIA ; Jing LU
Journal of International Oncology 2025;52(3):158-162
Objective:To investigate the differences in the levels of inactive rhomboid protein (iRhom) 1, iRhom2, and tumor necrosis factor-α (TNF-α) in cervical cancer patients with different prognoses, and to analyze the predictive value of each index for patient's prognosis.Methods:A total of 90 cervical cancer patients who underwent extensive hysterectomy at the People's Hospital of Xinjiang Uygur Autonomous Region from June 2021 to June 2023 were selected as the study objects. Using a propensity score matching method with a caliper value of 0.02, 30 cases with normal cervical biopsy results and matched general clinical data were selected as the controls. Cervical cancer patients were divided into the good prognosis group ( n=69) and the poor prognosis group ( n=21) according to the prognosis. Western blotting was used to detect the protein levels of iRhom1, iRhom2, and TNF-α in tissue samples. The differences in iRhom1, iRhom2, and TNF-α protein levels between cervical cancer tissues, adjacent tissues, normal cervical tissues, and between the good and poor prognosis groups were compared. Multivariate logistic regression was used to analyze the influencing factors of prognosis in cervical cancer patients, and the receiver operator characteristic (ROC) curve was used to evaluate the predictive efficacy of each indicator for prognosis in cervical cancer patients. Results:The levels of iRhom1 protein in cervical cancer tissues, adjacent tissues, and normal cervical tissues were 0.80±0.11, 0.41±0.10, 0.40±0.07, respectively; those of iRhom2 were 0.81±0.12, 0.47±0.10, 0.46±0.05, respectively; and those of TNF-α were 1.15±0.12, 0.58±0.10, 0.56±0.07, respectively. There were statistically significant differences in the levels of iRhom1, iRhom2, and TNF-α protein among the three groups ( F=64.93, P<0.001; F=56.14, P<0.001; F=191.61, P<0.001). There were statistically significant differences in the levels of iRhom1, iRhom2 and TNF-α between cervical cancer tissues and adjacent tissues and normal cervical tissues (all P<0.05). In the poor prognosis group and the good prognosis group, the levels of iRhom1 protein in cervical cancer tissues were 0.90±0.12 and 0.77±0.10, respectively; those of iRhom2 were 0.90±0.10 and 0.79±0.09, respectively; and those of TNF-α were 1.29±0.13 and 1.06±0.10, respectively. There were statistically significant differences in iRhom1, iRhom2, and TNF-α protein levels between the two groups ( t=7.31, P<0.001; t=5.35, P<0.001; t=10.30, P<0.001). Multivariate logistic regression analysis showed that, iRhom1 ( OR=2.29, 95% CI: 1.77-3.71, P<0.001), iRhom2 ( OR=1.51, 95% CI: 1.10-2.71, P<0.001), and TNF-α ( OR=2.10, 95% CI: 1.90-4.44, P<0.001) were all independent influencing factors of the prognosis of cervical cancer patients. The ROC curve indicated that iRhom1 (AUC=0.88, 95% CI: 0.80-0.97), iRhom2 (AUC=0.83, 95% CI: 0.73-0.94), and TNF-α (AUC=0.80, 95% CI: 0.65-0.94) alone and in combination (AUC=0.97, 95% CI: 0.93-1.00) could predict prognosis of cervical cancer patients. Conclusions:The levels of iRhom1, iRhom2 and TNF-α proteins in cervical cancer tissues are higher than those in adjacent tissues and normal cervical tissues, and the levels of these three indexes in cervical cancer tissues with poor prognosis are significantly higher than those in cervical cancer tissues with good prognosis. The levels of iRhom1, iRhom2 and TNF-α protein are all independent factors influencing the prognosis of cervical cancer patients, and the three indicators alone or in combination can predict the prognosis of cervical cancer patients.
10.Application effect evaluation of patient service intelligent management platform based on one hospital and multiple districts
Hanxu LANG ; Peipei JIA ; Lianfang LU ; Juan FENG ; Houping ZHAO ; Lili WEI
Modern Hospital 2025;25(3):417-421
Objective The sample hospital is currently in the exploration stage of creating patient satisfaction service un-der the one-hospital and multi-district management mode.In order to improve the overall feeling of patients in the process of hos-pital treatment,the application effect of the existing all-round full-cycle patient service intelligent management platform in the hos-pital is quantitatively evaluated,so as to better improve the service mode.Methods A survey was conducted to collect satisfac-tion data from two groups:the experimental group,which utilized the comprehensive and full-cycle patient service intelligent man-agement platform for diagnosis and treatment services,and the control group,which followed the conventional patient admission and discharge process.The work efficiency number was obtained and calculated through the background of the system,including the average time to handle hospitalization procedures,the average waiting time for examination,the average time to handle dis-charge procedures,the time spent on each follow-up visit and the response rate of follow-up patients.The data were analyzed sta-tistically.Results The work efficiency of the experimental group was significantly better than that of the control group,and the satisfaction of hospitalized patients and staff was higher than that of the control group.Conclusion The application of the com-prehensive and full-cycle patient service intelligent management platform can improve the satisfaction of patients and staff,opti-mize the efficiency of treatment,and better serve the management mode of one hospital and multiple districts.


Result Analysis
Print
Save
E-mail