1.Dual activation of GCGR/GLP1R signaling ameliorates intestinal fibrosis via metabolic regulation of histone H3K9 lactylation in epithelial cells.
Han LIU ; Yujie HONG ; Hui CHEN ; Xianggui WANG ; Jiale DONG ; Xiaoqian LI ; Zihan SHI ; Qian ZHAO ; Longyuan ZHOU ; JiaXin WANG ; Qiuling ZENG ; Qinglin TANG ; Qi LIU ; Florian RIEDER ; Baili CHEN ; Minhu CHEN ; Rui WANG ; Yao ZHANG ; Ren MAO ; Xianxing JIANG
Acta Pharmaceutica Sinica B 2025;15(1):278-295
Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.
3.Risk prediction of demoralization syndrome in patients with oral cancer.
Liyan MAO ; Xixi YANG ; Xiaoqin BI ; Min LIU ; Chongyang ZHAO ; Zuozhen WEN
West China Journal of Stomatology 2025;43(3):395-405
OBJECTIVES:
This study aimed to construct a risk prediction model for the occurrence of the demora-lization syndrome in patients with oral cancer and provide a scientific basis for the prevention of this syndrome in patients with oral cancer and the development of personalized care programs.
METHODS:
A total of 486 patients with oral cancer in West China Hospital of Stomatology of Sichuan University and Sun Yat-sen Memorial Hospital of Sun Yat-sen University from 2024 March to July were selected by convenience sampling. We integrated clinical data and evidence from previous studies to identify the key variables affecting the demoralization syndrome in patients with oral cancer. The 486 patients were divided into a training set and a validation set in an 8∶2 ratio. A clinical risk prediction model was established based on the individual data of 365 patients in the development cohort. Through least absolute shrinkage and selection operator (LASSO) regression, a moderate to severe risk prediction model of demoralization syndrome in oral cancer was constructed, and a clinical machine-learning nomogram was constructed. Bootstrap resampling was used for internal validation. The data of 121 patients in the validation cohort were externally validated.
RESULTS:
The incidence of the demoralization syndrome in patients with oral cancer was 405 cases (83.3%), of which 279 cases (57.4%) were mild, 176 cases (36.2%) were moderate, and 31 cases (6.4%) were severe. The core model, including patient education level, disease understanding, and MDASI-HN score, was used to predict the risk of outcome. Internal validation of the model yielded C statistic of 0.783 6 (95% CI: 0.78-0.87), beta of 0.843 4, and calibration intercept of -0.040 6. Through external validation, the validation set C statistic was 0.80 (95%CI: 0.71-0.87), beta was 0.80, and calibration intercept was -0.08.
CONCLUSIONS
Our risk prediction mo-del of the demoralization syndrome in patients with oral cancer performed robustly in validation cohorts of different nur-sing environments. The model has good correction and good discrimination and can be used as an evaluation and prediction item at admission.
Humans
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Mouth Neoplasms/complications*
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Male
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Female
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Nomograms
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Middle Aged
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Syndrome
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Aged
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Adult
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Risk Factors
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Risk Assessment
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Machine Learning
4.A nomogram model for differentiating gastric schwannoma from gastric stromal tumor based on CT imaging features
Luping ZHAO ; Haoran LU ; Yuhong WANG ; Jingjing XU ; Zhanguo SUN ; Yueqin CHEN ; Zecan WENG ; Sen MAO
Chinese Journal of Postgraduates of Medicine 2024;47(7):624-630
Objective:To construct a nomogram model for differentiating gastric schwannoma (GS) from gastric stromal tumor (GST) (diameters 2 to 5 cm) based on CT imaging features before surgery.Methods:The clinical and imaging data of 49 patients with GS and 240 patients with GST in the Affiliated Hospital of Jining Medical University from July 2009 to April 2023 and Guangdong Provincial People′s Hospital from June 2017 to September 2022 were analyzed retrospectively. The independent factors for differentiating GS from GST were obtained by multivariate Logistic regression analysis. The nomogram model was constructed by R4.3.1 software. The efficacy of the nomogram model for differentiating GS from GST was evaluated by the receiver operating characteristics (ROC) curve, and calibration curve and decision curve analysis were used to evaluate the predictive efficacy and clinical application value of the nomogram model.Results:There were no statistical differences in the clinical symptom rate, calcification rate, ulcer rate, tumor vessel rate, ratio of long diameter to short diameter and CT value difference during the arterial and nonenhanced phases (CTV A-N) between GS patients and GST patients ( P>0.05). The proportion of female, incidence of lesions located in central or lower part of stomach, extraluminal or mixed growth rate, tumor-associated lymph node rate, strong enhancement rate, CT value difference during the portal and nonenhanced phases (CTV P-N), CT value difference during the delayed and nonenhanced phases (CTV D-N), CT value difference during the portal and arterial phases (CTV P-A) and CT value difference during the delayed and portal phases (CTV D-P) in GS patients were significantly higher than those in GST patients: 75.51% (37/49) vs. 58.33% (140/240), 85.71% (42/49) vs. 54.17% (130/240), 75.51% (37/49) vs. 45.00% (108/240), 44.90% (22/49) vs. 5.42% (13/240), 51.02% (25/49) vs. 27.08% (65/240), 32.0 (26.0, 43.5) HU vs. 29.0 (22.0, 37.7) HU, (44.59 ± 13.46) HU vs. (32.94 ± 12.47) HU, 20.0 (11.5, 25.0) HU vs. 10.0 (5.0, 17.0) HU and 9.0 (6.0, 12.0) HU vs. 4.0 (-2.7, 7.0) HU, the age, irregular shape rate, cystic degeneration rate and heterogeneous enhancement rate were significantly lower than those in GST patients: (58.12 ± 12.59) years old vs. (62.05 ± 11.22) years old, 16.33% (8/49) vs. 38.33% (92/240), 18.37% (9/49) vs. 51.25% (123/240) and 34.69% (17/49) vs. 56.25% (135/240), and there were statistical differences ( P<0.05 or<0.01). Multivariate Logistic regression analysis result showed that location, cystic degeneration, tumor-associated lymph node, CTV P-A and CTV D-P were the independent factors for differentiating GS from GST ( OR= 3.599, 0.201, 19.031, 1.124 and 1.160; 95% CI 1.184 to 10.938, 0.070 to 0.578, 6.159 to 58.809, 1.066 to 1.185 and 1.094 to 1.231; P<0.05 or<0.01). The nomogram model for differentiating GS from GST was constructed based on location, cystic degeneration, tumor-associated lymph node, CTV P-A and CTV D-P. The area under curve of the nomogram model for differentiating GS from GST was 0.924 (95% CI 0.887 to 0.951). The calibration curve analysis result showed that there was a good agreement between the predicted GS curve and the actual GS curve (the mean absolute error was 0.033). The result of the Hosmer-Lemeshow goodness-of-fit test indicated that the calibration of the nomogram model was appropriate ( χ2 = 2.52, P = 0.961). The clinical decision curve analysis result showed that when the threshold for the nomogram model for differentiating the two tumors was>0.03, the nomogram yielded more net benefits than the "all patients treated as GS" or "all patients treated as GST" scenarios. Conclusions:The nomogram model based on CT imaging features can be used to differentiate GS from GST before surgery.
5.Gender differences in mortality following tanscatheter aortic valve replacement (TAVR): a single-centre retrospective analysis from China.
Qi LIU ; Yali WANG ; Yijian LI ; Tianyuan XIONG ; Fei CHEN ; Yuanweixiang OU ; Xi WANG ; Yijun YAO ; Kaiyu JIA ; Yujia LIANG ; Xin WEI ; Xi LI ; Yong PENG ; Jiafu WEI ; Sen HE ; Qiao LI ; Wei MENG ; Guo CHEN ; Wenxia ZHOU ; Mingxia ZHENG ; Xuan ZHOU ; Zhengang ZHAO ; Chen MAO ; Feng YUAN
Chinese Medical Journal 2023;136(20):2511-2513
6.The value of CT for differentiating gastric leiomyoma from gastric schwannoma
Luping ZHAO ; Wenhao LI ; Qiaolu LIU ; Sen MAO ; Yueqin CHEN ; Hao YU ; Weiwei WANG ; Zhanguo SUN
Chinese Journal of Postgraduates of Medicine 2023;46(3):241-246
Objective:To evaluate the value of CT for differentiating gastric leiomyoma (GLM) from gastric schwannoma (GS).Methods:The clinical and imaging data of 42 patients with GLM (GLM group) and 41 patients with GS (GS group) were analyzed retrospectively. The general information and CT features were compared between two groups. The independent factors for differentiating GLM from GS were obtained by multivariate Logistic regression analysis. The receiver operating characteristic curve (ROC) was used to evaluate the diagnostic efficiency of the model.Results:The proportion of female and age in GLM group were significantly lower than those in GS group: 59.52% (25/42) vs. 85.37% (35/41), (51.83 ± 10.52) years old vs. (58.80 ± 10.63) years old, and there were statistical differences ( P<0.01). The upper part of the stomach rate, irregular shape rate, intraluminal growth rate, ratio of long diameter to short diameter and mild to moderate enhancement rate in GLM group were significantly higher than those in GS group: 71.43% (30/42) vs. 14.63% (6/41), 52.38% (22/42) vs. 21.95% (9/41), 92.86% (39/42) vs. 19.51% (8/41), 1.90 ± 0.55 vs. 1.34 ± 0.28 and 92.86% (39/42) vs. 51.22% (21/41), the cystic degeneration rate, ulcer rate, incidence of tumor-associated lymph node, CT values of venous phase and delayed phase in GLM group were significantly lower than those in GS group: 2.38% (1/42) vs. 26.83% (11/41), 7.14% (3/42) vs. 24.39% (10/41), 2.38% (1/42) vs. 60.98% (25/41), (59.21 ± 9.75) HU vs. (66.22 ± 10.33) HU and (65.02 ± 8.62) HU vs. (76.85 ± 11.89) HU, and there were statistical differences ( P<0.01 or <0.05); there were no statistical difference in the rate of calcification and the CT values of plain scan and arterial phase between the two groups ( P>0.05). Multivariate Logistic regression analysis result showed that the tumor location, growth mode, tumor-associated lymph node and ratio of long diameter to short diameter were the independent factors for differentiating GLM from GS ( OR = 34.385, 25.314, 0.023 and 97.700; 95% CI 2.848 to 415.171, 2.674 to 239.670, 0.001 to 0.637 and 3.113 to 3 066.549; P<0.01 or <0.05); when the model threshold was >0.647, the area under the curve was 0.988 (95% CI 0.934 to 1.000), with a sensitivity of 92.9% and specificity of 97.6%. Conclusions:When the tumor is prone to the upper part of the stomach, intraluminal growth, ratio of long diameter to short diameter >1.28, and the absence of the tumor-associated lymph node, GLM tends to be considered, on the contrary, it tends to be GS. Therefore, CT imaging features have certain value in differentiating GLM from GS before surgery.
7.Preliminary experience of transcatheter pulmonary valve replacement using domestic balloon-expandable valve.
Zhen Gang ZHAO ; Rui Tao LI ; Xin WEI ; Yong PENG ; Jia Fu WEI ; Sen HE ; Qiao LI ; Xiao LI ; Yi Jian LI ; Xiang LI ; Xuan ZHOU ; Ming Xia ZHENG ; Guo CHEN ; Qi AN ; Mao CHEN ; Yuan FENG
Chinese Journal of Cardiology 2023;51(8):825-831
Objectives: To evaluate the feasibility and preliminary clinical results of transcatheter pulmonary valve replacement (TPVR) with the domestically-produced balloon-expandable Prizvalve system. Methods: This is a prospective single-center observational study. Patients with postoperative right ventricular outflow tract (RVOT) dysfunction, who were admitted to West China Hospital of Sichuan University from September 2021 to March 2023 and deemed anatomically suitable for TPVR with balloon-expandable valve, were included. Clinical, imaging, procedural and follow-up data were analyzed. The immediate procedural results were evaluated by clinical implant success rate, which is defined as successful valve implantation with echocardiography-assessed pulmonary regurgitation
Male
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Humans
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Pulmonary Valve/surgery*
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Heart Valve Prosthesis/adverse effects*
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Heart Valve Prosthesis Implantation
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Constriction, Pathologic/surgery*
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Prospective Studies
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Ventricular Outflow Obstruction/surgery*
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Treatment Outcome
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Cardiac Catheterization/methods*
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Transcatheter Aortic Valve Replacement
8.Preliminary experience of transcatheter pulmonary valve replacement using domestic balloon-expandable valve.
Zhen Gang ZHAO ; Rui Tao LI ; Xin WEI ; Yong PENG ; Jia Fu WEI ; Sen HE ; Qiao LI ; Xiao LI ; Yi Jian LI ; Xiang LI ; Xuan ZHOU ; Ming Xia ZHENG ; Guo CHEN ; Qi AN ; Mao CHEN ; Yuan FENG
Chinese Journal of Cardiology 2023;51(8):825-831
Objectives: To evaluate the feasibility and preliminary clinical results of transcatheter pulmonary valve replacement (TPVR) with the domestically-produced balloon-expandable Prizvalve system. Methods: This is a prospective single-center observational study. Patients with postoperative right ventricular outflow tract (RVOT) dysfunction, who were admitted to West China Hospital of Sichuan University from September 2021 to March 2023 and deemed anatomically suitable for TPVR with balloon-expandable valve, were included. Clinical, imaging, procedural and follow-up data were analyzed. The immediate procedural results were evaluated by clinical implant success rate, which is defined as successful valve implantation with echocardiography-assessed pulmonary regurgitation
Male
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Humans
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Pulmonary Valve/surgery*
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Heart Valve Prosthesis/adverse effects*
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Heart Valve Prosthesis Implantation
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Constriction, Pathologic/surgery*
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Prospective Studies
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Ventricular Outflow Obstruction/surgery*
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Treatment Outcome
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Cardiac Catheterization/methods*
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Transcatheter Aortic Valve Replacement
9.Chinese thoracic surgery experts consensus on postoperative follow-up plans for esophageal squamous cell carcinoma
Longqi CHEN ; Xiaofei LI ; Jianhua FU ; Song ZHAO ; Yin LI ; Yousheng MAO ; Shuoyan LIU ; Zhentao YU ; Lijie TAN ; Hui LI ; Yongtao HAN ; Chun CHEN ; Mingqiang KANG ; Jian HU ; Zhigang LI ; Hecheng LI ; Renquan ZHANG ; Shidong XU ; Linyou ZHANG ; Kaican CAI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2022;29(02):141-149
Resection is one of the most important treatments for esophageal squamous cell carcinoma, and routine postoperative follow-up is an effective method for early detection and treatment of recurrent metastases, which can improve patients' quality of life and prognosis. This consensus aims to provide a reference for colleagues responsible for postoperative follow-up of esophageal squamous cell carcinoma patients in China, and further improve the standardization of the diagnosis and treatment of esophageal squamous cell carcinoma.
10.The diagnostic value of Chinese-thyroid imaging reporting and data system classification combined with shear wave elastography in thyroid microcarcinoma
Sen MAO ; Hongjun WANG ; Luping ZHAO ; Hong SU ; Shaochun WANG
Chinese Journal of Postgraduates of Medicine 2022;45(5):422-427
Objective:To investigate the diagnostic value of Chinese-thyroid imaging reporting and data system (C-TIRADS) combined with shear wave elastography (SWE) in thyroid microcarcinoma.Methods:The clinical data of 270 patients (367 nodules) who underwent thyroid ultrasound examination and confirmed by pathology from January 2019 to June 2021 in the Affiliated Hospital of Jining Medical University were analyzed retrospectively. All patients were assisted by SWE in preoperative ultrasound examination to measure the maximum elastic modulus (E max), the average elastic modulus (E mean) and the minimum elastic modulus (E min). The receiver operating characteristic (ROC) curve was drawn to get the optimal threshold of SWE according to the pathological results. The diagnostic value of C-TIRADS, SWE and their combined in different diameters thyroid micronodules was analyzed. Results:Among 367 thyroid nodules, 119 nodules were benign and 248 nodules were malignant. The area under the curve (AUC) of E max in diagnosing TMC was significantly larger than that of E mean and E min (0.883 vs. 0.822 and 0.706), and there was statistical difference ( P<0.05); the best cut-off value of E max was 29.5 kPa. The ROC curve analysis results showed that the AUC of C-TIRADS combined with SWE in diagnosis of TMC was significantly larger than that of C-TIRADS and SWE alone (0.884 vs. 0.800 and 0.853), and there was statistical difference ( P<0.05); the sensitivity, accuracy and negative predictive value of C-TIRADS combined with SWE in diagnosis of TMC were significantly higher than those of C-TIRADS alone (90.32% vs. 80.24%, 89.10% vs. 80.11% and 81.10% vs. 65.97%), and there were statistical differences ( P<0.05). Thyroid nodules were divided into ≤0.5 cm nodules (56 nodules) and 0.5 to 1.0 cm nodules (311 nodules) according to the maximum diameter, the sensitivity and accuracy of C-TIRADS combined with SWE in diagnosing TMC in 0.5 to 1.0 cm nodules were significantly higher than those in ≤0.5 cm nodules: 91.82% (202/220) vs. 78.57% (22/28) and 90.68% (282/311) vs. 80.36% (45/56), and there were statistical differences ( χ2 = 4.99 and 5.20, P<0.05), but there was no statistical difference in specificity between 2 groups ( P<0.05). Conclusions:C-TIRADS combined with SWE can further improve the diagnostic value of TMC, which is worth popularizing and applying in clinic.

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