1.Severe COVID-19 and inactivated vaccine in diabetic patients with SARS-CoV-2 infection.
Yaling YANG ; Feng WEI ; Duoduo QU ; Xinyue XU ; Chenwei WU ; Lihua ZHOU ; Jia LIU ; Qin ZHU ; Chunhong WANG ; Weili YAN ; Xiaolong ZHAO
Chinese Medical Journal 2025;138(10):1257-1259
2.Nanomedicine-driven tumor glucose metabolic reprogramming for enhanced cancer immunotherapy.
Chenwei JIANG ; Minglu TANG ; Yun SU ; Junjie XIE ; Qi SHANG ; Mingmei GUO ; Xiaoran AN ; Longfei LIN ; Ruibin WANG ; Qian HUANG ; Guangji ZHANG ; Hui LI ; Feihu WANG
Acta Pharmaceutica Sinica B 2025;15(6):2845-2866
Tumors exhibit abnormal glucose metabolism, consuming excessive glucose and excreting lactate, which constructs a tumor microenvironment that facilitates cancer progression and disrupts immunotherapeutic efficacy. Currently, tumor glucose metabolic dysregulation to reshape the immunosuppressive microenvironment and enhance immunotherapy efficacy is emerging as an innovative therapeutic strategy. However, glucose metabolism modulators lack specificity and still face significant challenges in overcoming tumor delivery barriers, microenvironmental complexity, and metabolic heterogeneity, resulting in poor clinical benefit. Nanomedicines, with their ability to selectively target tumors or immune cells, respond to the tumor microenvironment, co-deliver multiple drugs, and facilitate combinatorial therapies, hold significant promise for enhancing immunotherapy through tumor glucose metabolic reprogramming. This review explores the complex interactions between tumor glucose metabolism-specifically metabolite transport, glycolysis processes, and lactate-and the immune microenvironment. We summarize how nanomedicine-mediated reprogramming of tumor glucose metabolism can enhance immunotherapy efficacy and outline the prospects and challenges in this field.
3.An investigation of oral health care behavior and influencing factors of pregnant women in a hospital in Beijing City based on health-belief model
Zhiyuan ZHANG ; Danping ZHENG ; Qian WANG ; Yan XIE ; Xinxin WANG ; Kuo WAN ; Chenwei FU ; Xiaopeng HUO
Chinese Journal of Preventive Medicine 2024;58(3):331-336
Objective:Analysis of the influencing factors of maternal oral health care behavior based on the health belief model.Methods:From July to December 2023, a cross-sectional survey was conducted in Peking Union Medical College Hospital on 316 pregnant women who received the health belief questionnaire and self-efficacy scale。 t test and χ2 test were used to analyze the factors affecting the oral health care behavior of pregnant women from the perspective of social psychology. Results:Among the 316 pregnant women included, 110(34.8%) had poor daily oral health care behavior, 120 (38.1%)did not have oral examination before or during pregnancy. The health beliefs of pregnant women in overall oral care were not high, with a score of 6.63+3.23, Median score is 7 (5).Perceived susceptibility to oral diseases ( OR=1.51, 95% CI:1.026-2.213), self-efficacy of daily living ( OR=2.64, 95% CI: 1.384-5.040), self-efficacy of oral examination ( OR=1.74, 95% CI:1.184-2.570) were independent factors of daily oral health care behavior in pregnant women. Health motivation ( OR=2.47, 95% CI:1.474-4.126) and self-efficacy of oral examination ( OR=4.17, 95% CI:2.626-6.619) were independent factors of oral examination behavior before and during pregnancy. Conclusion:Health beliefs of maternal oral health, especially perceived susceptibility, health motivation and self-efficacy are closely related to maternal oral health care behaviors. To improve the health belief and self-efficacy of pregnant women′s oral health care and avoid potential obstacles, which could be conducive to the effective promotion of oral health care for pregnant women.
4.5 patients with severe ARDS complicated with hypercapnia received in vitro carbon dioxide removal therapy
Chenwei PAN ; Wenchun WANG ; Guanjie CHEN ; Xiaoqing LI
Chinese Journal of Nursing 2024;59(2):214-218
To summarize the nursing experience of 5 patients with severe ARDS complicated with hypercapnia who underwent extracorporeal carbon dioxide removal(ECCO2R).Key points of nursing care included:establishing a rapid emergency response nursing team for ECCO2R;PETCO2 real-time monitoring to grasp the timing of the machine;ensuring continuity of treatment and improving the removal efficiency;respiratory-related monitoring;prevention of complications of blood coagulation and hypothermia;and weaning from extracorporeal carbon dioxide removal.After careful treatment and care,all the 5 patients were successfully removed from ECCO2R treatment.
5.An investigation of oral health care behavior and influencing factors of pregnant women in a hospital in Beijing City based on health-belief model
Zhiyuan ZHANG ; Danping ZHENG ; Qian WANG ; Yan XIE ; Xinxin WANG ; Kuo WAN ; Chenwei FU ; Xiaopeng HUO
Chinese Journal of Preventive Medicine 2024;58(3):331-336
Objective:Analysis of the influencing factors of maternal oral health care behavior based on the health belief model.Methods:From July to December 2023, a cross-sectional survey was conducted in Peking Union Medical College Hospital on 316 pregnant women who received the health belief questionnaire and self-efficacy scale。 t test and χ2 test were used to analyze the factors affecting the oral health care behavior of pregnant women from the perspective of social psychology. Results:Among the 316 pregnant women included, 110(34.8%) had poor daily oral health care behavior, 120 (38.1%)did not have oral examination before or during pregnancy. The health beliefs of pregnant women in overall oral care were not high, with a score of 6.63+3.23, Median score is 7 (5).Perceived susceptibility to oral diseases ( OR=1.51, 95% CI:1.026-2.213), self-efficacy of daily living ( OR=2.64, 95% CI: 1.384-5.040), self-efficacy of oral examination ( OR=1.74, 95% CI:1.184-2.570) were independent factors of daily oral health care behavior in pregnant women. Health motivation ( OR=2.47, 95% CI:1.474-4.126) and self-efficacy of oral examination ( OR=4.17, 95% CI:2.626-6.619) were independent factors of oral examination behavior before and during pregnancy. Conclusion:Health beliefs of maternal oral health, especially perceived susceptibility, health motivation and self-efficacy are closely related to maternal oral health care behaviors. To improve the health belief and self-efficacy of pregnant women′s oral health care and avoid potential obstacles, which could be conducive to the effective promotion of oral health care for pregnant women.
6.An epipolythiodioxopiperazine alkaloid and diversified aromatic polyketides with cytotoxicity from the Beibu Gulf coral-derived fungus Emericella nidulans GXIMD 02509.
Miaoping LIN ; Zhenzhou TANG ; Jiaxi WANG ; Humu LU ; Chenwei WANG ; Yanting ZHANG ; Xinming LIU ; Chenghai GAO ; Yonghong LIU ; Xiaowei LUO
Journal of Zhejiang University. Science. B 2023;24(3):275-280
Marine microorganisms, especially marine fungi, have historically proven their value as a prolific source for structurally novel and pharmacologically active secondary metabolites (Deshmukh et al., 2018; Carroll et al., 2022). The corals constitute a dominant part of reefs with the highest biodiversity, and harbor highly diverse and abundant microbial symbionts in their tissue, skeleton, and mucus layer, with species-specific core members that are spatially partitioned across coral microhabitats (Wang WQ et al., 2022). The coral-associated fungi were very recently found to be vital producers of structurally diverse compounds, terpenes, alkaloids, peptides, aromatics, lactones, and steroids. They demonstrate a wide range of bioactivity such as anticancer, antimicrobial, and antifouling activity (Chen et al., 2022). The genetically powerful genus Emericella (Ascomycota), which has marine and terrestrial sources, includes over 30 species and is distributed worldwide. It is considered a rich source of diverse secondary metabolites with antimicrobial activity or cytotoxicity (Alburae et al., 2020). Notably, Emericella nidulans, the sexual state of a classic biosynthetic strain Aspergillus nidulans, was recently reported as an important source of highly methylated polyketides (Li et al., 2019) and isoindolone-containing meroterpenoids (Zhou et al., 2016) with unusual skeletons.
Animals
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Aspergillus nidulans
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Polyketides/chemistry*
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Anthozoa/microbiology*
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Anti-Infective Agents/pharmacology*
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Alkaloids
7.Drug adulteration analysis based on complexation with cyclodextrin and metal ions using ion mobility spectrometry
Zhigang LIANG ; Huanhuan WANG ; Fangling WU ; Longfei WANG ; Chenwei LI ; Chuan-Fan DING
Journal of Pharmaceutical Analysis 2023;13(3):287-295
Drug adulteration and contamination are serious threats to human health therefore,their accurate monitoring is very important.Allopurinol(Alp)and theophylline(Thp)are commonly used drugs for the treatment of gout and bronchitis,while their isomers hypoxanthine(Hyt)and theobromine(Thm)have no effect and affect the efficacy of the drug.In this work,the drug isomers of Alp/Hyt and Thp/Thm are simply mixed with α-,β-,y-cyclodextrin(CD)and metal ions and separated using trapped ion mobility spectrometry-mass spectrometry(TIMS-MS).TIMS-MS results showed that Alp/Hyt and Thp/Thm iso-mers could interact with CD and metal ions and form corresponding binary or ternary complexes to achieve their TIMS separation.Different metal ions and CDs showed different separation effect for the isomers,among which Alp and Hyt could be successfully distinguished from the complexes of[Alp/Hyt+y-CD+Cu-H]+with separation resolution(Rp-p)of 1.51;whereas Thp and Thm could be baseline separated by[Thp/Thm+y-CD+Ca-H]+with Rp-p of 1.96.Besides,chemical calculations revealed that the complexes were in the inclusion forms,and microscopic interactions were somewhat different,making their mobility separation.Moreover,relative and absolute quantification was investigated with an internal standard to determine the precise isomers content,and good linearity(R2>0.99)was ob-tained.Finally,the method was applied for the adulteration detection where different drugs and urine were analyzed.In addition,due to the advantages of fast speed,simple operation,high sensitivity,and no chromatographic separation required,the proposed method provides an effective strategy for the drug adulteration detection of isomers.
8.Differentiating pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma by CT radiomic and deep learning features
Qi LI ; Jian ZHOU ; Xu FANG ; Jieyu YU ; Mengmeng ZHU ; Xiaohan YUAN ; Ying LI ; Yifei GUO ; Jun WANG ; Shiyue CHEN ; Yun BIAN ; Chenwei SHAO
Chinese Journal of Pancreatology 2023;23(3):171-179
Objective:To develop and validate the models based on mixed enhanced computed tomography (CT) radiomics and deep learning features, and evaluate the efficacy for differentiating pancreatic adenosquamous carcinoma (PASC) from pancreatic ductal adenocarcinoma (PDAC) before surgery.Methods:The clinical data of 201 patients with surgically resected and histopathologically confirmed PASC (PASC group) and 332 patients with surgically resected histopathologically confirmed PDAC (PDAC group) who underwent enhanced CT within 1 month before surgery in the First Affiliated Hospital of Naval Medical University from January 2011 to December 2020 were retrospectively collected. The patients were chronologically divided into a training set (treated between January 2011 and January 2018, 156 patients with PASC and 241 patients with PDAC) and a validation set (treated between February 2018 and December 2020, 45 patients with PASC and 91 patients with PDAC) according to the international consensus on the predictive model. The nnU-Net model was used for pancreatic tumor automatic segmentation, the clinical and CT images were evaluated, and radiomics features and deep learning features during portal vein phase were extracted; then the features were dimensionally reduced and screened. Binary logistic analysis was performed to develop the clinical, radiomics and deep learning models in the training set. The models' performances were determined by area under the ROC curve (AUC), sensitivity, specificity, accuracy, and decision curve analysis (DCA).Results:Significant differences were observed in tumor size, ring-enhancement, upstream pancreatic parenchymal atrophy and cystic degeneration of tumor both in PASC and PDAC group in the training and validation set (all P value <0.05). The multivariable logistic regression analysis showed the tumor size, ring-enhancement, dilation of the common bile duct and upstream pancreatic parenchymal atrophy were associated with PASC significantly in the clinical model. The ring-enhancement, dilation of the common bile duct, upstream pancreatic parenchymal atrophy and radiomics score were associated with PASC significantly in the radiomics model. The ring-enhancement, upstream pancreatic parenchymal atrophy and deep learning score were associated with PASC significantly in the deep learning model. The diagnostic efficacy of the deep learning model was highest, and the AUC, sensitivity, specificity, and accuracy of the deep learning model was 0.86 (95% CI 0.82-0.90), 75.00%, 84.23%, and 80.60% and those of clinical and radiomics models were 0.81 (95% CI 0.76-0.85), 62.18%, 85.89%, 76.57% and 0.84 (95% CI 0.80-0.88), 73.08%, 82.16%, 78.59% in the training set. In the validation set, the area AUC, sensitivity, specificity, and accuracy of deep learning model were 0.78 (95% CI 0.67-0.84), 68.89%, 78.02% and 75.00%, those of clinical and radiomics were 0.72 (95% CI 0.63-0.81), 77.78%, 59.34%, 65.44% and 0.75 (95% CI 0.66-0.84), 86.67%, 56.04%, 66.18%. The DCA in the training and validation sets showed that if the threshold probabilities were >0.05 and >0.1, respectively, using the deep learning model to distinguish PASC from PDAC was more beneficial for the patients than the treat-all-patients as having PDAC scheme or the treat-all-patients as having PASC scheme. Conclusions:The deep learning model based on CT automatic image segmentation of pancreatic neoplasm could effectively differentiate PASC from PDAC, and provide a new non-invasive method for confirming PASC before surgery.
9.Effects of environmental factors on refractive development of children and adolescents in different pubertal stages
YANG Jinliuxing, WANG Jingjing, HE Xiangui, ZHANG Bo, CHENG Tianyu, WANG Yue, PAN Chenwei
Chinese Journal of School Health 2022;43(7):974-977
Objective:
To explore the effect of puberty on refractive development of children and adolescents and its interaction with outdoor activities, near work and the use of electronic products, so as to provide a reference for strategies for intervening myopia.
Methods:
Cluster sampling method was used to select 776 students aged 7-13 from a nine year consistent school in Shanghai to participate and were followed up for 2 years. All participants underwent cycloplegic refraction and ocular axial length measurement once a year, as well as pubertal development, average daily outdoor time, near work time and time of electronic products usage. The influencing factors and interaction effects of refractive parameters in different puberty stages were analyzed by generalized estimation equation.
Results:
At baseline, 634 children participated in cycloplegic refraction, of which 350 were myopic (55.2%). There were significant differences in axial length, average daily outdoor time, near work time and time of using electronic products at different stages of puberty ( F = 4.10 ,4.24,5.54,9.20, P <0.05). There was interaction between puberty and outdoor time on axial length development ( β =0.133, P < 0.05), and the interaction between puberty and the time of near work or using electronic products was not statistically significant ( P >0.05).
Conclusion
Puberty may play a regulatory role in the relationship between outdoor time and refractive development among Chinese children and adolescents.
10.Research hotspots and trend analysis of myopia in children and adolescents based on Chinese databases
YING Zhiqi, QIAN Dengjuan, LI Danlin, WANG Cheng, LIANG Gang, PAN Chenwei
Chinese Journal of School Health 2022;43(9):1293-1297
Objective:
To analyze research hot spots and trends on myopia in children and adolescents in China, and to provide a reference for the future development of this research field.
Methods:
Using CiteSpace software, 725 eligible Chinese documents published over a 22 year period were sourced from CNKI, VIP and Wanfang Chinese databases, were analyzed during 2000-2021. The data were visualized by a keyword co occurrence map, and clustering, as well as burst and author cooperative networks.
Results:
The research field of myopia in children and adolescents in China had undergone three stages:an initial formation period, development period and rapid growth period, and it was expected that the annual number of papers will maintain an increasing trend in the future. "Myopia" "adolescents" "children" and "students" were the most frequent keywords(667, 535, 288, 47). The keyword burst "adolescents" started the earliest, and "students" had the largest burst strength and duration. Zhang Ning, Tang Wenting, Tao Fangbiao, Yang Xiao and others have made important contributions to this research field.
Conclusion
In recent years, the research focus in this field has gradually shifted toward the influencing factors, as well as prevention and treatment measures of child and adolescent myopia. The trend of myopia in young children and adolescents is obvious. In the future, research on the prevention, control and treatment of myopia in children and adolescents will become a hot spot.


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