1.Discovery of orally active and serine-targeting covalent inhibitors against hCES2A for ameliorating irinotecan-triggered gut toxicity.
Ya ZHANG ; Yufan FAN ; Yunqing SONG ; Guanghao ZHU ; Xinjuan LI ; Jian HUANG ; Xinrui GUO ; Changhai LUAN ; Dongning KANG ; Lu CHEN ; Zhangping XIAO ; Zhaobin GUO ; Hairong ZENG ; Dapeng CHEN ; Zhipei SANG ; Guangbo GE
Acta Pharmaceutica Sinica B 2025;15(10):5312-5326
Human carboxylesterase 2A (hCES2A) plays pivotal roles in prodrug activation and hydrolytic metabolism of ester-bearing chemicals. Targeted inhibition of intestinal hCES2A represents a feasible strategy to mitigate irinotecan-triggered gut toxicity (ITGT), but the orally active, selective, and efficacious hCES2A inhibitors are rarely reported. Here, a novel drug-like hCES2A inhibitor was developed via three rounds of structure-based drug design (SBDD) and structural optimization. Initially, donepezil was identified as a moderate hCES2A inhibitor from 2000 US Food and Drug Administration (FDA)-approved drugs. Following two rounds of SBDD and structural optimization, a donepezil derivative (B7) was identified as a strong reversible hCES2A inhibitor. Subsequently, nine B7 carbamates were rationally designed, synthesized and biologically assayed. Among all synthesized carbamates, C3 showed the most potent time-dependent inhibition on hCES2A (IC50 = 0.56 nmol/L), excellent specificity and favorable drug-like properties. C3 could covalently modify the catalytic serine of hCES2A with high selectivity, while this agent also showed favorable safety profiles, high intestinal exposure, and impressive effects for ameliorating ITGT in both human intestinal organoids and tumor-bearing mice. Collectively, this study showcases a rational strategy for developing drug-like and serine-targeting covalent inhibitors against target serine hydrolase(s), while C3 emerges as a promising orally active drug candidate for ameliorating ITGT.
2.Pharmacological modulation of mitochondrial function as novel strategies for treating intestinal inflammatory diseases and colorectal cancer.
Boya WANG ; Xinrui GUO ; Lanhui QIN ; Liheng HE ; Jingnan LI ; Xudong JIN ; Dapeng CHEN ; Guangbo GE
Journal of Pharmaceutical Analysis 2025;15(4):101074-101074
Inflammatory bowel disease (IBD) is a chronic and recurrent intestinal disease, and has become a major global health issue. Individuals with IBD face an elevated risk of developing colorectal cancer (CRC), and recent studies have indicated that mitochondrial dysfunction plays a pivotal role in the pathogenesis of both IBD and CRC. This review covers the pathogenesis of IBD and CRC, focusing on mitochondrial dysfunction, and explores pharmacological targets and strategies for addressing both conditions by modulating mitochondrial function. Additionally, recent advancements in the pharmacological modulation of mitochondrial dysfunction for treating IBD and CRC, encompassing mitochondrial damage, release of mitochondrial DNA (mtDNA), and impairment of mitophagy, are thoroughly summarized. The review also provides a systematic overview of natural compounds (such as flavonoids, alkaloids, and diterpenoids), Chinese medicines, and intestinal microbiota, which can alleviate IBD and attenuate the progression of CRC by modulating mitochondrial function. In the future, it will be imperative to develop more practical methodologies for real-time monitoring and accurate detection of mitochondrial function, which will greatly aid scientists in identifying more effective agents for treating IBD and CRC through modulation of mitochondrial function.
3.Design of a nanozyme-based magnetic nanoplatform to enhance photodynamic therapy and immunotherapy
Bai CHEN ; Liu JIAJING ; Bai LUYAO ; Yao DAPENG ; Li XIAOFENG ; Zhang HAORAN ; Guo DONG
Journal of Pharmaceutical Analysis 2024;14(9):1320-1329
The tumor microenvironment,particularly the hypoxic property and glutathione(GSH)overexpression,substantially inhibits the efficacy of cancer therapy.In this article,we present the design of a magnetic nanoplatform(MNPT)comprised of a photosensitizer(Ce6)and an iron oxide(Fe3O4)/manganese oxide(MnO2)composite nanozyme.Reactive oxygen species(ROS),such as singlet oxygen(1O2)radicals produced by light irradiation and hydroxyl radicals(·OH)produced by catalysis,are therapeutic species.These therapeutic substances stimulate cell apoptosis by increasing oxidative stress.This apoptosis then triggers the immunological response,which combines photodynamic therapy and T-cell-mediated immunotherapy to treat cancer.Furthermore,MNPT can be utilized as a contrast agent in magnetic resonance and fluorescence dual-modality imaging to give real-time tracking and feedback on treatment.
4.Comparing the prognostic value of 3 diagnostic criteria of bronchopulmonary dysplasia in preterm infants
Xin WANG ; Jing GUO ; Yanyan WU ; Yangke LU ; Dapeng LIU ; Mingchao LI ; Rui LI ; Yingyuan WANG ; Wenqing KANG
Chinese Journal of Pediatrics 2024;62(1):36-42
Objective:To compare the prognostic value of 3 diagnostic criteria of bronchopulmonary dysplasia (BPD) in preterm infants with gestational age<32 weeks.Methods:The retrospective cohort study was conducted to collect the clinical data of 285 preterm infants with BPD admitted to the Department of Neonatology, Children′s Hospital Affiliated to Zhengzhou University from January 2019 to September 2021, who were followed up regularly after discharge. The primary composite adverse outcome was defined as death or severe respiratory morbidity from 36 weeks of corrected gestational age to 18 months of corrected age, and the secondary composite adverse outcome was defined as death or neurodevelopmental impairment. According to the primary or secondary composite adverse outcomes, the preterm infants were divided into the adverse prognosis group and the non-adverse prognosis group. The 2001 National Institute of Child Health and Human Development (NICHD) criteria, 2018 NICHD criteria, and 2019 Neonatal Research Network (NRN) criteria were used to diagnose and grade BPD in preterm infants. Chi-square test, Logistic regression analysis, receiver operating characteristic (ROC) curve and Delong test were used to analyze the prognostic value of the 3 diagnostic criteria.Results:The 285 preterm infants had a gestational age of 29.4 (28.1, 30.6) weeks and birth weight of 1 230 (1 000, 1 465) g, including 167 males (58.6%). Among 285 premature infants who completed follow-up, the primary composite adverse outcome occurred in 124 preterm infants (43.5%), and the secondary composite adverse outcome occurred in 40 preterm infants (14.0%). Multivariate Logistic regression analysis showed that severe BPD according to the 2001 NICHD criteria, gradeⅡand Ⅲ BPD according to the 2018 NICHD criteria and grade 2 and 3 BPD according to the 2019 NRN criteria were all risk factors for primary composite adverse outcomes (all P<0.05). ROC curve showed that the area under the curve (AUC) of the 2018 NICHD criteria and 2019 NRN criteria were both higher than that of the 2001 NICHD criteria (0.70 and 0.70 vs. 0.61, Z=4.49 and 3.35, both P<0.001), but there was no significant difference between the 2018 NICHD and 2019 NRN criteria ( Z=0.38, P=0.702). Multivariate Logistic regression analysis showed that the secondary composite adverse outcomes were all associated with grade Ⅲ BPD according to the 2018 NICHD criteria and grade 3 BPD according to the 2019 NRN criteria (both P<0.05). ROC curve showed that the AUC of the 2018 NICHD criteria and 2019 NRN criteria were both higher than that of the 2001 NICHD criteria (0.71 and 0.71 vs. 0.58, Z=2.93 and 3.67, both P<0.001), but there was no statistically significant difference between the 2018 NICHD and 2019 NRN criteria ( Z=0.02, P=0.984). Conclusion:The 2018 NICHD and 2019 NRN criteria demonstrate good and comparable predictive value for the primary and secondary composite adverse outcomes in preterm infants with BPD, surpassing the predictive efficacy of the 2001 NICHD criteria.
5.Castleman disease in the parapharyngeal space: a case report.
Kai GUO ; Dongmin WEI ; Dapeng LEI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2024;38(12):1187-1189
Objective:Castleman's disease is a group of heterogeneous lymphoproliferative disorders with unclear etiology and pathogenesis.This article reports a case of Castleman's disease of the parapharyngeal space, with a comprehensive literature review of the clinical feature and typing, pathologic diagnosis, treatment, and prognosis of the disease.This case is a unicentric type, which is clinically characterized by significant enlargement of lymph nodes without systemic symptoms. The pathology was hyaline vascular type, and the treatment of unicentric type was mostly based on surgery with a better prognosis.
Adult
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Female
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Humans
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Male
;
Castleman Disease/diagnosis*
;
Lymph Nodes/pathology*
;
Parapharyngeal Space
;
Prognosis
7.Genomic and transcriptomic analysis unveils population evolution and development of pesticide resistance in fall armyworm Spodoptera frugiperda.
Furong GUI ; Tianming LAN ; Yue ZHAO ; Wei GUO ; Yang DONG ; Dongming FANG ; Huan LIU ; Haimeng LI ; Hongli WANG ; Ruoshi HAO ; Xiaofang CHENG ; Yahong LI ; Pengcheng YANG ; Sunil Kumar SAHU ; Yaping CHEN ; Le CHENG ; Shuqi HE ; Ping LIU ; Guangyi FAN ; Haorong LU ; Guohai HU ; Wei DONG ; Bin CHEN ; Yuan JIANG ; Yongwei ZHANG ; Hanhong XU ; Fei LIN ; Bernard SLIPPERS ; Alisa POSTMA ; Matthew JACKSON ; Birhan Addisie ABATE ; Kassahun TESFAYE ; Aschalew Lemma DEMIE ; Meseret Destaw BAYELEYGNE ; Dawit Tesfaye DEGEFU ; Feng CHEN ; Paul K KURIA ; Zachary M KINYUA ; Tong-Xian LIU ; Huanming YANG ; Fangneng HUANG ; Xin LIU ; Jun SHENG ; Le KANG
Protein & Cell 2022;13(7):513-531
The fall armyworm (FAW), Spodoptera frugiperda, is a destructive pest native to America and has recently become an invasive insect pest in China. Because of its rapid spread and great risks in China, understanding of FAW genetic background and pesticide resistance is urgent and essential to develop effective management strategies. Here, we assembled a chromosome-level genome of a male FAW (SFynMstLFR) and compared re-sequencing results of the populations from America, Africa, and China. Strain identification of 163 individuals collected from America, Africa and China showed that both C and R strains were found in the American populations, while only C strain was found in the Chinese and African populations. Moreover, population genomics analysis showed that populations from Africa and China have close relationship with significantly genetic differentiation from American populations. Taken together, FAWs invaded into China were most likely originated from Africa. Comparative genomics analysis displayed that the cytochrome p450 gene family is extremely expanded to 425 members in FAW, of which 283 genes are specific to FAW. Treatments of Chinese populations with twenty-three pesticides showed the variant patterns of transcriptome profiles, and several detoxification genes such as AOX, UGT and GST specially responded to the pesticides. These findings will be useful in developing effective strategies for management of FAW in China and other invaded areas.
Animals
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China
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Genomics
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Humans
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Male
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Pesticides
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Spodoptera/genetics*
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Transcriptome
8.Preoperative MRI-based deep learning radiomics machine learning model for prediction of the histopathological grade of soft tissue sarcomas
Hexiang WANG ; Shifeng YANG ; Tongyu WANG ; Hongwei GUO ; Haoyu LIANG ; Lisha DUAN ; Chencui HUANG ; Yan MO ; Feng HOU ; Dapeng HAO
Chinese Journal of Radiology 2022;56(7):792-799
Objective:To investigate the value of a preoperatively MRI-based deep learning (DL) radiomics machine learning model to distinguish low-grade and high-grade soft tissue sarcomas (STS).Methods:From November 2007 to May 2019, 151 patients with STS confirmed by pathology in the Affiliated Hospital of Qingdao University were enrolled as training sets, and 131 patients in the Affiliated Hospital of Shandong First Medical University and the Third Hospital of Hebei Medical University were enrolled as external validation sets. According to the French Federation Nationale des Centres de Lutte Contre le Cancer classification (FNCLCC) system, 161 patients with FNCLCC grades Ⅰ and Ⅱ were defined as low-grade and 121 patients with grade Ⅲ were defined as high-grade. The hand-crafted radiomic (HCR) and DL radiomic features of the lesions were extracted respectively. Based on HCR features, DL features, and HCR-DL combined features, respectively, three machine-learning models were established by decision tree, logistic regression, and support vector machine (SVM) classifiers. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each machine learning model and choose the best one. The univariate and multivariate logistic regression were used to establish a clinical-imaging factors model based on demographics and MRI findings. The nomogram was established by combining the optimal radiomics model and the clinical-imaging model. The AUC was used to evaluate the performance of each model and the DeLong test was used for comparison of AUC between every two models. The Kaplan-Meier survival curve and log-rank test were used to evaluate the performance of the optimal machine learning model in the risk stratification of progression free survival (PFS) in STS patients.Results:The SVM radiomics model based on HCR-DL combined features had the optimal predicting power with AUC values of 0.931(95%CI 0.889-0.973) in the training set and 0.951 (95%CI 0.904-0.997) in the validation set. The AUC values of the clinical-imaging model were 0.795 (95%CI 0.724-0.867) and 0.615 (95%CI 0.510-0.720), and of the nomogram was 0.875 (95%CI 0.818-0.932) and 0.786 (95%CI 0.701-0.872) in the training and validation sets, respectively. In validation set, the performance of SVM radiomics model was better than those of the nomogram and clinical-imaging models ( Z=3.16, 6.07; P=0.002,<0.001). Using the optimal radiomics model, there was statistically significant in PFS between the high and low risk groups of STS patients (training sets: χ2=43.50, P<0.001; validation sets: χ2=70.50, P<0.001). Conclusion:Preoperative MRI-based DL radiomics machine learning model has accurate prediction performance in differentiating the histopathological grading of STS. The SVM radiomics model based on HCR-DL combined features has the optimal predicting power and was expected to undergo risk stratification of prognosis in STS patients.
9.Evaluation Effectiveness of in Vitro Cultivation of Bezoar on Mouse Model Combining Disease with Syndrome of Coronavirus Pneumonia with Yidu Xifei Syndrome
Rong-hua ZHAO ; Jing SUN ; Shan-shan GUO ; Lei BAO ; Zi-han GENG ; Yan-yan BAO ; Guan-ru ZHOU ; Ying-jie GAO ; Xiao-lan CUI ; Yu-jing SHI
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(2):66-73
Objective:To determine the therapeutic effect of
10.Association analysis of famine exposure during early life and risk of hypertension in adulthood
Hongjie GUO ; Xiong DING ; Wei JIANG ; Jing JIANG ; Ying WU ; Zhe SHU ; Guiwen LI ; Yuehua HU ; Dapeng YIN
Chinese Journal of Preventive Medicine 2021;55(6):732-736
Objective:To explore the relationship between exposure to famine in early life and the risk of hypertension in adulthood.Methods:The medical data of Yichang Health Management Big Data Center from 2018 to 2019 were analyzed. A retrospective cohort study design was adopted, with hypertension as the study outcome, and different life periods exposed to the Great Famine in China were divided into groups. Multivariate logistic regression model was used to analyze the relationship between famine exposure in early life and hypertension in adulthood. At the same time, the interaction between gender and famine exposure was analyzed.Results:The age of 142 016 subjects was (60. 56±4.43). Among them, men accounted for 46.36% (65 845/142 016) and women accounted for 53.64% (76 171/142 016). There are 42 575(29.98%), 19 644(13.83%), 28 405(20.00%), 28 305(19.93%), 23 087 (19.93%) in non-famine exposure group, fetal famine exposure group, early childhood famine exposure group and late childhood famine exposure group, respectively. The prevalence of hypertension was 17.57% (24 947 cases). Multivariate logistic regression model analysis showed that after adjusting for related confounding factors, compared with non-famine exposure group, the risk of hypertension in fetal, early childhood, middle childhood and late childhood famine exposure group was higher and the OR (95% CI) values were 1.16 (1.11-1.22), 1.27 (1.21-1.33), 1.54 (1.47-1.60) and 1.84 (1.76-1.92), respectively. There was an interaction between sex and famine exposure group ( P<0.001). The above association is stronger among women than among men. Conclusion:Famine exposure in early life may increase the risk of hypertension in adulthood, and the risk of women is greater than that of men.

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