1.Discovery and mechanism verification of first-in-class hydrophobic tagging-based degraders of HBV core protein.
Shujing XU ; Ya WANG ; Dazhou SHI ; Shuo WANG ; Lijun QIAO ; Ge YANG ; Yang ZHOU ; Xinyong LIU ; Shuo WU ; Yuhuan LI ; Peng ZHAN
Acta Pharmaceutica Sinica B 2025;15(4):2170-2196
Interfering hepatitis B virus (HBV) capsid assembly holds promise as a therapeutic approach for chronic hepatitis B (CHB). Novel anti-HBV agents are urgently needed to overcome drug resistance challenges, with targeted protein degradation (TPD) emerging as a hopeful strategy. Herein, we report the first degradation of HBV core protein (HBC), a multifunctional structural protein, using small-molecule degraders developed by hydrophobic tagging (HyT) technology. Structure-activity relationship (SAR) analysis identified compound HyT-S7, featuring an adamantyl group, exhibiting potent inhibitory activity (EC50 = 0.46 μmol/L, HepAD38 cells) and degradation ability (DC50 = 3.02 ± 0.54 μmol/L) in a dose- and time-dependent manner. Mechanistic studies demonstrated that the autophagy-lysosome pathway was a potential driver of HyT-S7-induced HBC degradation. Remarkably, HyT-S7 effectively degraded 11 drug-resistant mutants, including highly resistant strains P25G and T33N, to Phase III drug GLS4. Furthermore, cellular thermal shift assay, surface plasmon resonance assay, and molecular dynamics simulations revealed the precise mode of HyT-S7 binding to HBC with the adamantyl group potentially mimicking protein misfolding to facilitate HBC degradation. This first proof-of-concept study highlights the potential of HyT-mediated TPD in HBC as a promising avenue for discovering novel HBV and other antiviral agents with favorable drug resistance profiles.
3.Protein degradation-based anti-infective drug research.
Dazhou SHI ; Shujing XU ; Xu DENG ; Yundong SUN ; Peng ZHAN
Acta Pharmaceutica Sinica B 2025;15(11):6076-6081
4.Risk factors for postoperative complications Clavien-Dindo classification≥gradeⅡ after lung cancer surgery
Xiaoqing LIAO ; Zhang CHEN ; Wei DAI ; Xing WEI ; Yang3 PU ; Chao LIN ; Wenhong FENG ; Yuanqiang ZHANG ; Yunfei MU ; Rui ZHANG ; Shaohua XIE ; Xin WANG ; Qiuling SHI ; Qiang LI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2023;30(08):1151-1157
Objective To investigate the risk factors for postoperative complications Clavien-Dindo classification≥grade Ⅱ after lung cancer surgery. Methods The patients who underwent lung cancer surgery in a multicenter observational study from November 2017 to January 2020 were included. The Clavien-Dindo classification of postoperative complications was analyzed. Logistic regression was used to identify the risk factors for complications≥ gradeⅡ. Results A total of 388 patients were enrolled, including 203 males and 185 females with a mean age of 56.14±10.36 years. The incidence of postoperative complications was 25.52% (99/388) after lung cancer surgery and the incidence of complications≥gradeⅡ was 20.10% (78/388). The five most common postoperative complications were pneumonia (6.96%), prolonged pulmonary air leak (>7 days, 5.67%), incision dehiscence (4.64%), arrhythmia (3.87%), and postoperative pleural effusion (3.35%). Multivariate analysis showed that open surgery [reference: uniportal thoracoscopic surgery, OR=2.18, 95%CI (1.01, 4.70), P=0.047], extended resection [reference: sublobar resection, OR=2.86, 95%CI (1.11, 7.19), P=0.030; reference: lobectomy, OR=2.20, 95%CI (1.10, 4.40), P=0.026] and operative time≥3 h [OR=2.07, 95%CI (1.12, 3.85), P=0.021] were independent risk factors for postoperative complications≥gradeⅡ after lung cancer surgery. Conclusion Surgical approach, extent of resection and operative time are independent influencing factors for postoperative complications≥gradeⅡ after lung cancer surgery.
5.Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China.
Yan MA ; Dong Shan ZHU ; Ren Bo CHEN ; Nan Nan SHI ; Si Hong LIU ; Yi Pin FAN ; Gui Hui WU ; Pu Ye YANG ; Jiang Feng BAI ; Hong CHEN ; Li Ying CHEN ; Qiao FENG ; Tuan Mao GUO ; Yong HOU ; Gui Fen HU ; Xiao Mei HU ; Yun Hong HU ; Jin HUANG ; Qiu Hua HUANG ; Shao Zhen HUANG ; Liang JI ; Hai Hao JIN ; Xiao LEI ; Chun Yan LI ; Min Qing LI ; Qun Tang LI ; Xian Yong LI ; Hong De LIU ; Jin Ping LIU ; Zhang LIU ; Yu Ting MA ; Ya MAO ; Liu Fen MO ; Hui NA ; Jing Wei WANG ; Fang Li SONG ; Sheng SUN ; Dong Ting WANG ; Ming Xuan WANG ; Xiao Yan WANG ; Yin Zhen WANG ; Yu Dong WANG ; Wei WU ; Lan Ping WU ; Yan Hua XIAO ; Hai Jun XIE ; Hong Ming XU ; Shou Fang XU ; Rui Xia XUE ; Chun YANG ; Kai Jun YANG ; Sheng Li YUAN ; Gong Qi ZHANG ; Jin Bo ZHANG ; Lin Song ZHANG ; Shu Sen ZHAO ; Wan Ying ZHAO ; Kai ZHENG ; Ying Chun ZHOU ; Jun Teng ZHU ; Tian Qing ZHU ; Hua Min ZHANG ; Yan Ping WANG ; Yong Yan WANG
Biomedical and Environmental Sciences 2020;33(12):893-905
Objective:
Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear.
Methods:
A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio (
Results:
Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks.
Conclusion
Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult
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Aged
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COVID-19/virology*
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China/epidemiology*
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Comorbidity
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Female
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Humans
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Male
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Middle Aged
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Retrospective Studies
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Severity of Illness Index
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Treatment Outcome

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