1.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
2.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
3.Association of discrimination perception and rejection sensitivity with social adjustment among college students with left behind experiences
WU Yi, FU Wei, ZHAO Xiwu, CAO Jianqin, LI Hetong
Chinese Journal of School Health 2025;46(12):1736-1740
Objective:
To determine the internal relationships pf perceived discrimination and rejection sensitivity with social adjustment among college students with left behind experiences, so as to provide a reference for targeted prevention and intervention strategies for social adjustment issues in this population.
Methods:
A cluster random sampling method was used to select 2 999 college students from 3 universities in Qiqihar and Daqing, Heilongjiang Province. In October, 2024 (T1) and April 2025 (T2), the Discrimination Perception Questionnaire of college students, Rejection Sensitivity Questionnaire, and the Chinese College Student Adjustment Scale (CCSAS) were used to assess students perceptions of discrimination, rejection sensitivity, and social adjustment levels. Independent sample t-test was used for group comparisons. Traditional cross sectional comparisons and cross sectional network analysis were performed using T1 data for the core sample of 1 080 students with left behind experiences (T1). Longitudinal network analysis was performed using paired data from T1 and T2 ( n =1 024) and a preliminary cross lagged model was used to determine the relationships between variables. Sensitivity analysis was performed by including followup data from students without left behind experiences to test the robustness of the results.
Results:
After gender adjustment, students with leftbehind experiences had higher scores on discrimination perception (13.14±0.16) and rejection sensitivity (92.82±0.73) compared to the non left behind group (10.25±0.12) (89.12±0.55) while the social adjustment score (194.94±1.05) was lower than the non left behind group (202.82±0.79). The differences were statistically significant ( F =212.03, 16.52, 36.02, all P <0.01). Cross sectional network analysis showed that the "anticipated rejection likelihood" was the core node ( EI=-2.27 , BEI =-2.37), playing a key role in inter network connections and overall dynamic regulation. Longitudinal network comparison revealed statistically significant changes in the intensity centrality of the nodes "individual discrimination perception" and "anticipated rejection likelihood" (both P <0.05), while other nodes remained relatively stable. Cross lagged network analysis showed that the predictive effects of T1 on the variables at T2 were not statistically significant (maximum | r |=0.05, FDR corrected P >0.50), but the binomial test indicated a systematic positive correlation trend between the variables (66.7% positive correlation, P =0.04). Sensitivity analysis showed that the bridge effect of the "anticipated rejection likelihood" and "learning adjustment" nodes at T2 was more significant in the left behind group compared to the non left behind group.
Conclusion
The social adjustment issues of college students with left behind experiences require focused attention on the negative regulatory effect of "rejection cognition" and the positive regulatory effect of "learning adaptation".
4.Lower vs. standard starting dose oral roxadustat for treating anemia in Chinese patients with chronic kidney disease on dialysis: A prospective, randomized clinical trial.
Yan TU ; Yan XU ; Li YAO ; Beiru ZHANG ; Tiekun YAN ; Aiping YIN ; Xinzhou ZHANG ; Min YANG ; Jun LIU ; Caili WANG ; Xiaomei PENG ; Jianqin WANG ; Wei NIU ; Wenqing JIANG ; Bi-Cheng LIU
Chinese Medical Journal 2025;138(19):2520-2522
5.Ferroptosis and its role in kidney tubular injury in diabetic kidney disease
Chinese Journal of Nephrology 2025;41(2):144-153
Ferroptosis is a type of programmed cell death characterised by iron-dependent accumulation of lipid reactive oxygen species, which is closely related to intracellular metabolism of amino acids, lipids, and iron, and regulation of ferroptosis can intervene and treat certain diseases. Diabetic kidney disease (DKD) is a chronic microvascular complication of diabetes.Although the exact pathogenesis of DKD is not clear, the results of the existing studies have proved that ferroptosis participates in the development of diabetic kidney injury, and plays an important role in kidney tubular injury in particular, and the inhibition of ferroptosis may be one of the directions for the treatment of DKD. In recent years, researchers have conducted a lot of studies on ferroptosis through animal models of DKD, but the specific pathogenesis and therapeutic effects regarding ferroptosis have not been fully revealed. This article introduces ferroptosis and its connection with apoptosis, autophagy and other forms of cell death, as well as the main mechanisms regulating the development of ferroptosis through systematic Xc-GSH-GPX4 axis, NADPH-FSP1-CoQ10 axis, GCH1-BH4- phospholipid axis and various regulatory factors, and provides an overview of its role in kidney tubular injury of DKD. Through the review of these contents, the possibility of ferroptosis as a therapeutic target for DKD is discussed, in order to provide reference for the basic research and clinical treatment of DKD.
6.Ferroptosis and its role in kidney tubular injury in diabetic kidney disease
Chinese Journal of Nephrology 2025;41(2):144-153
Ferroptosis is a type of programmed cell death characterised by iron-dependent accumulation of lipid reactive oxygen species, which is closely related to intracellular metabolism of amino acids, lipids, and iron, and regulation of ferroptosis can intervene and treat certain diseases. Diabetic kidney disease (DKD) is a chronic microvascular complication of diabetes.Although the exact pathogenesis of DKD is not clear, the results of the existing studies have proved that ferroptosis participates in the development of diabetic kidney injury, and plays an important role in kidney tubular injury in particular, and the inhibition of ferroptosis may be one of the directions for the treatment of DKD. In recent years, researchers have conducted a lot of studies on ferroptosis through animal models of DKD, but the specific pathogenesis and therapeutic effects regarding ferroptosis have not been fully revealed. This article introduces ferroptosis and its connection with apoptosis, autophagy and other forms of cell death, as well as the main mechanisms regulating the development of ferroptosis through systematic Xc-GSH-GPX4 axis, NADPH-FSP1-CoQ10 axis, GCH1-BH4- phospholipid axis and various regulatory factors, and provides an overview of its role in kidney tubular injury of DKD. Through the review of these contents, the possibility of ferroptosis as a therapeutic target for DKD is discussed, in order to provide reference for the basic research and clinical treatment of DKD.
7.Construction of discharge readiness assessment index for patients with percutaneous transhepatic biliary drainage
Jing YAN ; Xiangfeng CHEN ; Liping TAN ; Xiaoyun ZHAO ; Jianqin ZHAO ; Li ZHENG ; Lili SONG
Journal of Interventional Radiology 2024;33(7):790-795
Objective To construction of discharge readiness assessment index for patients with percutaneous transhepatic biliary drainage.Methods Based on the framework of the Meleis's transitions theory,the relevant literature was consulted,the semi-structured interview and group discussion were implemented,and the framework of the assessment index system for discharge readiness of patients with percutaneous transhepatic biliary drainage was initially constructed.Then,two rounds of Delphi expert consultations were conducted.The weight of each indicator was set by Analytic Hierarchy Process.Results The effective recovery of 2 rounds of expert consultations were both 100%.The authority coefficients were 0.964 and 0.972,The Kendall harmony coefficients were 0.240 and 0.228(P<0.001).The final discharge readiness assessment index system for patients with percutaneous transhepatic biliary drainage was established,including 4 first-level indicators and 35 second-level indicators.Conclusion The discharge readiness assessment index system for patients with percutaneous transhepatic biliary drainage was scientific and reliable,which can provide references for the evaluation of discharge readiness for patients with percutaneous transhepatic biliary drainage.
8.Research progress on intraoperative blood pressure management guided by hypotension prediction index based on machine learning
Linjuan XU ; Yi LI ; Jianqin XIE
The Journal of Clinical Anesthesiology 2024;40(9):966-970
Intraoperative hypotension is closely associated with postoperative poor prognosis.Machine learning hypotension predictive index(HPI)based on invasive and non-invasive blood pressure monitoring can predict hypotension in non-cardiac and cardiac surgery,which makes blood pressure manage-ment from passive processing to preventive active control.Hemodynamic management based on HPI reduces the occurrence of hypotension in surgery.In this artical,the introduction of HPI,the application of HPI in-vasive and non-invasive blood pressure monitoring in surgery,and the limitations of HPI are reviewed.
9.B1 corrected T1 mapping for distinguishing pathological types and differentiation degrees of lung cancers
Zhenzhen LI ; Gaofeng XU ; Yigang FU ; Yong XIAO ; Mingming ZHU ; Xiao ZHOU ; Xun SHI ; Jianqin JIANG
Chinese Journal of Medical Imaging Technology 2024;40(2):231-234
Objective To observe the value of B1 corrected T1 mapping for distinguishing pathological types and differentiation degrees of lung cancers.Methods A total of 74 lesions in 65 patients with lung cancers were prospectively enrolled,including 49 poorly differentiated lesions and 25 moderately or well differentiated ones,i.e.42 adenocarcinomas,14 squamous cell carcinomas and 18 small cell lung cancers(all poorly differentiated).B1 corrected T1 mapping was performed,ROI(ROI1 and ROI2)were delineated using 2 methods,and T1 values of different pathological types and differentiation degrees lung cancers were compared.The receiver operating characteristic(ROC)curves were drawn,and the areas under the curve(AUC)were calculated.Results Significant differences of T1 values were found among different pathological types of lung cancer(all P<0.05),as well as between small cell lung cancer and the rest 2 types of lung cancer(both P<0.05).There were significant differences of T1 values between poorly differentiated and moderately well differentiated lung cancer(squamous cell carcinoma+adenocarcinoma)(both P<0.05).Taken ROI1 T1 value=1 524.21 ms as the cut-off value,the AUC of T1 value for distinguishing poorly differentiated and moderately well differentiated lung cancer(squamous cell carcinoma+adenocarcinoma)was 0.698,with sensitivity of 64.50%and specificity of 76.00%.Taken ROI2 T1 value=1 630.68 ms as the cut-off value,the AUC of T1 value was 0.676,with sensitivity of 54.80%and specificity of 80.00%.Conclusion B1 corrected T1 mapping was helpful for distinguishing pathological types and differentiation degrees of lung cancers.
10.Investigation on the risk of recurrent immune thrombocytopenia in children and establishment of a predictive model
Chentao SHEN ; Yalin XIA ; Yeping SHENG ; Peipei CHU ; Jianqin LI
Basic & Clinical Medicine 2024;44(1):84-91
Objective To investigate the recurrence of immune thrombocytopenia(ITP)in children and to establish a predictive model.Methods A total of 288 children with ITP admitted to Children's Hospital of Wujiang District and Children's Hospital Affiliated to Suzhou University from January 2018 to April 2022 were collected.The factors potentially related to the recurrence of ITP in children were screened.The children in the model group were divided into 2 groups according to the presence or absence of recurrence and the indicators of the 2 groups were compared.After screening the potential influencing factors by LASSO regression and the independent influencing factors of relapse in children with ITP patients by Logstic regression analysis,we constructed a column-line graph model by using R language and validated it.Results A total of 37(18.47%)of 201 patients in the model group experienced relapse.The age,blood type,duration of disease before treatment,antecedent infections,bleeding,initial treatment regimen,antinuclear antibody titer,initial count and mean platelet volume,initial platelet distri-bution width,initial peripheral blood lymphocyte count and time length to effective platelet count after treatment were found in the recurrence group versus the non-recurrence group The difference was statistically significant(P<0.05).The results of multifactorial logistic regression analysis performed on the basis of LASSO regression showed that blood type,duration of illness before treatment,antecedent infection,initial treatment regimen,ini-tial peripheral blood lymphocyte count,and time to effective platelet count after treatment were independent influ-ences on the conversion of cough variant asthma to classic asthma in children.Based on the results of the multifac-torial analysis,a column chart model for predicting ITP recurrence in children was developed in R.The results of the receiver operating characteristic(ROC)analysis showed that the area under curve(AUC)of the column chart model for predicting ITP recurrence in children in the modeling group was 0.867[95%CI(0.796,0.938)]with a sensitivity of 84.2%and a specificity of 73.1%,and that in the validation group,the AUC was 0.838[95%CI(0.765),0.911]with a sensitivity of 82.3%and a specificity of 78.4%,0.911)]sensitivity was 82.3%and specificity was 78.4%.The Bootstrap method was used to repeat the sampling 1000 times,and the validation group was used for validation.The results of the calibration curve showed that the prediction curves of the model group and the validation group were basically fitted with the standard curve,suggesting that the model prediction accuracy was high.The results of the decision curve analysis of the model group showed that the net benefit rate of patients was greater than zero when the probability threshold of the column line graph model of pre-dicting ITP recurrence in children was 0.15-0.75.Conclusions ITP recurrence in children is mainly affected by the patient's age,blood type,and pre-treatment course of the disease,and the column-line diagram model based on these factors has a high accuracy and differentiation for ITP recurrence in parenting children.


Result Analysis
Print
Save
E-mail