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.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
4.Development and validation of an oral frailty risk prediction model for lung cancer patients undergoing chemotherapy
Lijuan LIU ; Jianqin LIN ; Lei YE ; Xiaohui JIANG ; Haiyu LIU ; Yanan HANG ; Sijing PENG ; Zijun DU
Modern Clinical Nursing 2025;24(9):17-26
Objective To investigate the status of oral frailty(OF)in patients who underwent chemotherapy for lung cancer,identify key factors influencing OF,and develop a risk prediction model.Methods Using convenience sampling,431 lung cancer inpatient were recruited from three Tier-IIIA hospitals in Jiangsu Province between September and November 2024 as the training cohort.The patients were divided into OF and non-OF groups.Relevant data were compared between the two groups.Multifactorial logistic regression analysis was performed to determine factors that associated with OF,and a risk prediction model was created accordingly.Receiver operating characteristic(ROC)curve analysis was used to predict model performance.In December 2024,additional 185 patients from one other Tier-IIIA hospitals were recruited to validate the developed model.Results The prevalence of OF among lung-cancer patients undergoing chemotherapy was 58.93%.Following listed items were identified as the risk factors of OF(all P<0.05):older in age(OR=3.420),poor education(OR=0.030),brain metastasis(OR=7.880),high nutritional risk screening 2002 score(OR=1.550),elevated C-reactive protein(OR=1.100),and elevated lactate dehydrogenase(OR=1.010).ROC area under the curve(AUC)of the model was 0.860(95%CI:0.830-0.900)in modelling cohort and 0.840(95%CI:0.780-0.900)in validation cohort.Hosmer-Lemeshow goodness-of-fit test yielded χ 2=4.870,P=0.770 for the training set and χ 2=2.770,P=0.950 for the validation set.Conclusion The risk prediction model for OF developed in this study demonstrates a good predictive performance and can facilitate early identification of high-risk patients,thereby providing a scientific basis for clinical interventions.
5.Development and validation of an oral frailty risk prediction model for lung cancer patients undergoing chemotherapy
Lijuan LIU ; Jianqin LIN ; Lei YE ; Xiaohui JIANG ; Haiyu LIU ; Yanan HANG ; Sijing PENG ; Zijun DU
Modern Clinical Nursing 2025;24(9):17-26
Objective To investigate the status of oral frailty(OF)in patients who underwent chemotherapy for lung cancer,identify key factors influencing OF,and develop a risk prediction model.Methods Using convenience sampling,431 lung cancer inpatient were recruited from three Tier-IIIA hospitals in Jiangsu Province between September and November 2024 as the training cohort.The patients were divided into OF and non-OF groups.Relevant data were compared between the two groups.Multifactorial logistic regression analysis was performed to determine factors that associated with OF,and a risk prediction model was created accordingly.Receiver operating characteristic(ROC)curve analysis was used to predict model performance.In December 2024,additional 185 patients from one other Tier-IIIA hospitals were recruited to validate the developed model.Results The prevalence of OF among lung-cancer patients undergoing chemotherapy was 58.93%.Following listed items were identified as the risk factors of OF(all P<0.05):older in age(OR=3.420),poor education(OR=0.030),brain metastasis(OR=7.880),high nutritional risk screening 2002 score(OR=1.550),elevated C-reactive protein(OR=1.100),and elevated lactate dehydrogenase(OR=1.010).ROC area under the curve(AUC)of the model was 0.860(95%CI:0.830-0.900)in modelling cohort and 0.840(95%CI:0.780-0.900)in validation cohort.Hosmer-Lemeshow goodness-of-fit test yielded χ 2=4.870,P=0.770 for the training set and χ 2=2.770,P=0.950 for the validation set.Conclusion The risk prediction model for OF developed in this study demonstrates a good predictive performance and can facilitate early identification of high-risk patients,thereby providing a scientific basis for clinical interventions.
6.Comparison on Star-VIBE and T1-VIBE MRI for displaying peripheral lung cancer
Jianqin JIANG ; Zhenzhen LI ; Qin HONG ; Yong XIAO ; Xiao ZHOU ; Gaofeng XU ; Yigang FU ; Chunhong HU
Chinese Journal of Medical Imaging Technology 2024;40(6):858-862
Objective To compare the value of stack-of-stars-volumetric interpolated breath-hold examination(Star-VIBE)and T1-volumetric interpolated breath-hold examination(T1-VIBE)MRI for displaying peripheral lung cancer.Methods Fifty-two patients with 56 peripheral lung cancer were prospectively enrolled,and chest Star-VIBE and T1-VIBE MRI were acquired.The morphological features were observed,and the subjective scores were recorded.The maximum diameter,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of lesions were measured based on Star-VIBE and T1-VIBE MRI,respectively.Taken CT as the references,the value of Star-VIBE and T1-VIBE MRI for displaying peripheral lung cancer were compared.Results Star-VIBE MRI had higher scores for displaying spiculation sign,lobulation sign,pleural depression sign and halo sign than T1-VIBE(both P<0.05).CNR and SNR of Star-VIBE MRI were significantly higher than those of T1-VIBE(both P<0.001).No significant difference of the maximum diameter of lesions measured based on Star-VIBE and T1-VIBE MRI compared with CT was found,nor between Star-VIBE and T1-VIBE MRI(all P>0.05).Conclusion Star-VIBE MRI had better value for displaying peripheral lung cancer than T1-VIBE.
7.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.
8.The effects of sensorimotor training on the risk of falls in hospitalized elderly patients with schizophrenic
Jiangbo LU ; Wei QIAN ; Jianqin PEI ; Jufang JIANG ; Mengjie YAO ; Jinzhi DAI
Chinese Journal of Practical Nursing 2022;38(15):1141-1149
Objective:To explore the intervention effect of sensorimotor training on cognitive function, balance and fall risk of elderly patients with schizophrenia.Methods:The 60 hospitalized elderly schizophrenic patients in Wuxi Mental Health Center were randomly divided into experimental group and control group from June to September 2021, with 30 cases in each group. The control group implemented traditional exercise on the basis of routine nursing. The experimental group received 8-week and 24 times sensorimotor training on the basis of the routine nursing. The Chinese version of the Mini Mental State Examination (MMSE) was used to assess the cognitive level of patients, the Modified Morse Fall Scale (MMFS) was used to assess the risk of falls, and the Berg Balance Scale (BBS) was used to assess the balance function.Results:After 8 weeks of intervention, the total score of MMSE was (26.72 ± 1.71), higher than the total score of the control group (22.36 ± 1.93), the factor scores of temporal orientation, spatial orientation, recollection, attention and calculation, memory and language ability in the experimental group were (4.90 ± 0.31), (4.72 ± 0.53), (2.86 ± 0.35), (4.66 ± 0.61), (2.83 ± 0.47), (6.76 ± 1.09), higher than scores of the control group (4.36 ± 0.56), (3.93 ± 0.66), (2.57 ± 0.50), (3.64 ± 1.03), (2.18 ± 0.67), (5.68 ± 1.02), and the difference was statistically significant( t values were 2.53-9.06, all P< 0.05). The total score of MMFS in the experimental group was (5.93 ± 1.49), which was lower than that in the control group (8.75 ± 2.30). The difference was statistically significant ( t=-5.51, P<0.01). The total score of BBS in the experimental group was (38.83 ± 1.71), which was higher than that in the control group (30.89 ± 1.93). The difference was statistically significant ( t=16.43, P<0.01). Conclusions:Sensorimotor training can improve the level of balance, cognitive function and reduce the risk of falls in elderly patients with schizophrenia.
9.Radiomics based on multimodal MRI for the differential diagnosis of benign and malignant lung nodule/mass
Jia LIU ; Jianqin JIANG ; Jianbing YIN ; Yanan ZHANG ; Ying XUE ; Lei CUI
Chinese Journal of Radiology 2022;56(5):542-548
Objective:To develop a multimodal MRI-based radiomics model for the differential diagnosis of benign and malignant lung lesions, and to compare the discriminative abilities of different models.Methods:Totally 114 patients with 115 lesions (44 benign and 71 malignant) in Nantong First Peoples′s Hospital from January 2014 to October 2019 were included in the study. All patients underwent non-enhanced MR examination, and textural features from T 1WI,T 2WI and apparent diffusion coefficient (ADC) imaging were extracted. The feature selection methods included L1 based, mutual information, tree based, recursive feature elimination and F-test. Then we constructed a prediction model by using logistic regression (LR), support vector machine (SVM), random forest (RF) and k-nearest neighbor (KNN) respectively. In order to control the number of modeling features and reduce the ininterpretability of the model, the new model was obtained by manually modifying some parameters of the hyperparameter model. One hundred and fourteen cases were rotated as training and validation sets. The performance of each model was evaluated by confounding matrix and receiver operating characteristic (ROC) curve. Results:The area under the curve (AUC) of T 2WI based LR model for the differential diagnosis of benign and malignant pulmonary nodules/masses was 0.71 and the F1 score was 0.57. Based on T 1WI images, LR and SVM model could be used to identify benign and malignant pulmonary nodules, the AUC before parameter adjustment were 0.77 and 0.78, the accuracy after parameter adjustment (LR a,SVM a) was 0.67, 0.70, and both the AUC were 0.72. However, no matter which feature or classifier was selected, both the AUC and accuracy of ADC-based model were less than 0.70. Conclusion:Multimodal MRI-based radiomics model is valuable for the differential diagnosis of benign and malignant pulmonary nodules/masses, and T 1WI-based model shows the best discrimination.
10.Modified endoscopic retrograde appendicitis therapy for appendicitis with intussusception in children: a primary study (with video)
Jianqin KANG ; Wei ZHANG ; Chongkang HU ; Yan LIN ; Junqing WU ; Yupin LI ; Ye LI ; Xiangzeng LIU ; Baoxi WANG ; Lingchao ZENG ; Xun JIANG
Chinese Journal of Digestive Endoscopy 2022;39(3):231-234
To investigate the efficacy and safety of modified endoscopic retrograde appendicitis therapy (ERAT) in children with acute uncomplicated appendicitis complicated with intussusception. Data of 6 patients with acute uncomplicated appendicitis complicated with intussusception who received modified ERAT were collected from October 2018 to February 2020 in Pediatrics Department of Tangdu Hospital. The reduction rate of intussusception, the success rate of ERAT appendiceal intubation and endoscopic treatment, the remission time of clinical symptoms, the time of white blood cells return to normal, the length of hospital stay, complications and recurrence were summarized. All the 6 patients were confirmed to be acute uncomplicated appendicitis combined with ileocecal intussusceptions under colonoscopy. Endoscopic intussusception reduction and ERAT were performed successfully. The mean time of disappearance of abdominal tenderness was 1.3 days after the therapy, and the time of white blood cells return to normal was 1 day after surgery. The endoscopic treatment were all successful and the length of hospital stay was 3-6 days. No complications or recurrence of intussusception and appendicitis occurred during the follow-up period of 6-12 months. Modified ERAT can effectively, safely and minimally invitingly treat acute uncomplicated appendicitis with intussusception in children on the basis of definite diagnosis.

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