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6. Successful Treatment of Severe Steroid-Resistant Engraftment Syndrome Following Haploidentical Allogeneic Hematopoietic Stem Cell Transplantation for Acute Myeloid Leukemia with Emapalumab: A Case Report

Author

Tian, Zhengqin, primary, Man, Qihang, additional, Yang, Yixin, additional, Zhang, Xiaomei, additional, Guan, Hexian, additional, Gu, Wenjing, additional, Wang, Ying, additional, Song, Dandan, additional, Luo, Rongmu, additional, and Wang, Jingbo, additional

Published
2024
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7. An Improved Label Propagation Algorithm for Community Detection Fusing Temporal Attributes

Author

Gu, Wenjing, Mao, Chengjie, Lin, Ronghua, Chen, Wande, Tang, Yong, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Yuqing, editor, Lu, Tun, editor, Cao, Buqing, editor, Fan, Hongfei, editor, Liu, Dongning, editor, Du, Bowen, editor, and Gao, Liping, editor

Published
2022
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8. MCSN: Multi-graph Collaborative Semantic Network for Chinese NER

Author

Zhang, Yingqi, Gu, Wenjing, Ma, Wenjun, Jiang, Yuncheng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Memmi, Gerard, editor, Yang, Baijian, editor, Kong, Linghe, editor, Zhang, Tianwei, editor, and Qiu, Meikang, editor

Published
2022
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9. Kabuki syndrome complicated by severe immune thrombocytopenia and autoimmune thyroiditis: Identification of a novel pathogenic mutation

Author

Qu, Xinmiao, primary, Xue, Feng, additional, Liu, Wei, additional, Chen, Yunfei, additional, Ju, Mankai, additional, Sun, Ting, additional, Dong, Huan, additional, Dai, Xinyue, additional, Gu, Wenjing, additional, Li, Huiyuan, additional, Wang, Wentian, additional, Chi, Ying, additional, Yang, Renchi, additional, Liu, Xiaofan, additional, Zhang, Lei, additional, and Fu, Rongfeng, additional

Published
2024
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10. Study protocol: A national cross-sectional study on psychology and behavior investigation of Chinese residents in 2023, PBICR

Author

Liu, Diyue, primary, Fan, Siyuan, additional, Huang, Xincheng, additional, Gu, Wenjing, additional, Yin, Yifan, additional, Zhang, Ziyi, additional, Ma, Tong Bao, additional, Xia, Ruitong, additional, Lu, Wei Yuan, additional, Liu, Jingwen, additional, Xin, Hanjia, additional, Cao, Yummeng, additional, Yang, Saier, additional, Li, Runqing, additional, Li, Han, additional, Zhao, Ji, additional, Zhang, Jin, additional, Gao, Zheng, additional, Zeng, Yaxin, additional, Ding, Yixiao, additional, Ren, Zhuolun, additional, Guan, Yan, additional, Zhang, Na, additional, Li, Jia, additional, Ma, Yan, additional, Wei, Pei, additional, Dong, Jingjing, additional, Zhou, Yajing, additional, Dong, Yong, additional, Qian, Yan, additional, Chen, Chen, additional, Zhao, Yujie, additional, Li, Yimiao, additional, Zheng, Yujia, additional, Chen, Rongyi, additional, Li, Xiaomeng, additional, Han, Yuke, additional, Xia, Yaoyao, additional, Xu, Huixin, additional, Wu, Zhaolin, additional, Wu, Mingyou, additional, Wu, Xinrui, additional, Hou, Junyi, additional, Cai, Yuelai, additional, Dai, Xiaofan, additional, Li, Wenbo, additional, Nie, Ting, additional, Zhang, Chongzhe, additional, Wang, Xiaoya, additional, Li, Dan, additional, Yan, Siyao, additional, Liu, Chenxi, additional, Zhang, Xinyue, additional, Shi, Lei, additional, Li, Haomiao, additional, Jiang, Feng, additional, Zhou, Xiaoming, additional, Sun, Xinying, additional, and Wu, Yibo, additional

Published
2024
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23. Characteristics and outcomes of COVID‐19 in Chinese immune thrombocytopenia patients: A prospective cohort study.

Author

Chen, Yunfei, Liu, Jiaying, Shao, Shuai, Song, Zhen, Ma, Yueshen, Tuo, Yuanyuan, Fang, Lijun, Xu, Yanmei, Xu, Bingqi, Gu, Wenjing, Cao, Xuan, Chen, Jia, Yang, Yu, Wang, Panjing, Zhang, Jing, Xu, Yuan, Yu, Dandan, Hou, Pengxiao, Meng, Ke, and Li, Zhirong

Subjects
IDIOPATHIC thrombocytopenic purpura, COVID-19, THROMBOPOIETIN receptor agonists, BLOOD diseases, COHORT analysis
Abstract

Summary: The coronavirus disease 2019 (COVID‐19) pandemic has a significant impact on the immune system. This is the first and largest study on pre‐existing immune thrombocytopenia (ITP) patients infected with COVID‐19 in China. We prospectively collected ITP patients infected with COVID‐19 enrolled in the National Longitudinal Cohort of Hematological Diseases (NICHE, NCT04645199) and followed up for at least 1 month after infection. One thousand and one hundred forty‐eight pre‐existing ITP patients were included. Two hundred and twelve (18.5%) patients showed a decrease in the platelet (PLT) count after infection. Forty‐seven (4.1%) patients were diagnosed with pneumonia. Risk factors for a decrease in the PLT count included baseline PLT count <50 × 109/L (OR, 1.76; 95% CI, 1.25–2.46; p = 0.001), maintenance therapy including thrombopoietin receptor agonists (TPO‐RAs) (OR, 2.27; 95% CI, 1.60–3.21; p < 0.001) and previous splenectomy (OR, 1.98; 95% CI, 1.09–3.61; p = 0.03). Risk factors for pneumonia included age ≥40 years (OR, 2.45; 95% CI, 1.12–5.33; p = 0.02), ≥2 comorbidities (OR, 3.47; 95% CI, 1.63–7.64; p = 0.001), maintenance therapy including TPO‐RAs (OR, 2.14; 95% CI, 1.17–3.91; p = 0.01) and immunosuppressants (OR, 3.05; 95% CI, 1.17–7.91; p = 0.02). In this cohort study, we described the characteristics of pre‐existing ITP patients infected with COVID‐19 and identified several factors associated with poor outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Characteristics and outcomes of COVID‐19 in Chinese immune thrombocytopenia patients: A prospective cohort study

Author

Chen, Yunfei, primary, Liu, Jiaying, additional, Shao, Shuai, additional, Song, Zhen, additional, Ma, Yueshen, additional, Tuo, Yuanyuan, additional, Fang, Lijun, additional, Xu, Yanmei, additional, Xu, Bingqi, additional, Gu, Wenjing, additional, Cao, Xuan, additional, Chen, Jia, additional, Yang, Yu, additional, Wang, Panjing, additional, Zhang, Jing, additional, Xu, Yuan, additional, Yu, Dandan, additional, Hou, Pengxiao, additional, Meng, Ke, additional, Li, Zhirong, additional, Liu, Guanyu, additional, Qu, Xinmiao, additional, Ji, Lulu, additional, Yang, Renchi, additional, and Zhang, Lei, additional

Published
2023
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35. Prediction of thrombosis in polycythemia vera: Development and validation of a multiple factor-based prognostic score system

Author

Gu, Wenjing, primary, Zhang, Yuhui, additional, Sun, Ting, additional, Ju, Mankai, additional, Liu, Xiaofan, additional, Xue, Feng, additional, Chen, Yunfei, additional, Liu, Wei, additional, Li, Huiyuan, additional, Wang, Wentian, additional, Chi, Ying, additional, Yang, Renchi, additional, Fu, Rongfeng, additional, Bai, Jie, additional, and Zhang, Lei, additional

Published
2023
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41. Molecular analysis of phenotypic heterogeneity inJAK2 V617F‐positive myeloproliferative neoplasms reveals a potential target for therapy

Author

Gu, Wenjing, primary, Tong, Jingyuan, additional, Fu, Rongfeng, additional, Sun, Ting, additional, Ju, Mankai, additional, Zhao, Yanhong, additional, Wang, Di, additional, Gao, Jie, additional, Liu, Jinhua, additional, Gao, Yuchen, additional, Li, Huiyuan, additional, Wang, Wentian, additional, Chi, Ying, additional, Yang, Renchi, additional, Chen, Lu, additional, Shi, Lihong, additional, and Zhang, Lei, additional

Published
2023
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44. Development of Measurement Scale and its Reliability and Validity Test of Medical College Students' Medication Literacy

Author

Leixiao Zeng, Xiaonan Sun, Pan Lutong, Gu Wenjing, Tang Jingqi, Dai Wenting, and Yibo Wu

Abstract

What is known and objective: Irrational drug use has become a global problem threatening human health. As future doctors, pharmacists and other relevant professionals, medical college students' medication literacy is also very important, which means the mastery of college students' knowledge to use medicine will directly affect the public's level of medication literacy in the future. The purpose of this study was to develop a medication literacy scale based on the existing health literacy scale and to test its reliability and validity.Methods: The initial scale was formed through literature review, and it was modified through expert consultation and student interviews to form the initial scale from March 17, 2020 to May 12. In 2020, a questionnaire survey was conducted among 1283 students in a medical college, from which 1248 valid questionnaires were collected, and 540 samples were drawn according to a certain proportion, which was divided into two equal parts for item analysis, reliability test, validity test, etc.Results: The total Cronbach's α coefficient was 0.826(> 0.800), while the Cronbach's α coefficients of functional medication literacy, communicative medication literacy, and critical medication literacy were 0.901, 0.858, 0.851(> 0.800), and the value of half reliability was 0.852 (> 0.800), which indicated that the scale had good internal consistency reliability. Factor analysis of 14 items showed that KMO=0. 852(> 0.7) and Bartlett spherical test P< 0.001, indicating that the data were very suitable for factor analysis. Three principal axis factors were extracted by principal component analysis, and the total variance interpretation rate was 69.031% (>40%). The chi-square freedom ratio χ²/df was 2.623< 3(sample size 270), GFI=0.905>0.9(Goodness of Fit index), CFI=0.950>0.9 (Comparative Fit Index), RMSEA=0.0780.9 (Normed Fitindex Standard Fitting Index), TLI=0.938>0.9 (Tucker-Lewis index), all within the acceptable range, indicating that the model fits the survey data as a whole. The model fit is scientific and the effective scale has high validity. The data showed that the average variance of the three dimensions was 0.692, 0.606, 0.578, all of which were greater than 0.5 and the composite reliability was 0.918, 0.884, 0.845, all of which were greater than 0.7, indicating that the scale had high aggregation validity. The square roots of the average variance extraction amount of the three dimensions (the value of diagonal was 0.832, 0.778, 0.760) were greater than the absolute value of the correlation coefficient among the three dimensions (the absolute value of the lower triangle was 0.748, 0.101, 0.037), which shows that the discrimination validity among the three dimensions of the scale is good.What is new and conclusion: A new scale for evaluating the medication literacy of medical college students was developed in Chinese language preliminarily. The reliability and validity of this scale were verified in the study, suggesting its appropriateness and applicability to measure medication literacy level for Chinese students from medical college from three dimensions: functional medication literacy, communicative medication literacy and critical medication literacy, including 14 items. The medication literacy scale has good reliability and validity and can be used as a preliminary measurement tool for medical students' medication literacy.

Published
2023

46. High Expression of MUC5AC, MUC5B, and Layilin Plays an Essential Role in Prediction in the Development of Plastic Bronchitis Caused by MPP

Author

Ma, Yu, primary, Gu, Yeqi, additional, Zhang, Xinxing, additional, Gu, Wenjing, additional, Wang, Ting, additional, Sun, Huiming, additional, Dai, Yinfang, additional, Yan, Yongdong, additional, Wang, Yuqing, additional, Wang, Meijuan, additional, Sun, Huiquan, additional, Hao, Chuangli, additional, Fan, Liping, additional, and Chen, Zhengrong, additional

Published
2022
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48. Molecular analysis of phenotypic heterogeneity in JAK2V617F ‐positive myeloproliferative neoplasms reveals a potential target for therapy.

Author

Gu, Wenjing, Tong, Jingyuan, Fu, Rongfeng, Sun, Ting, Ju, Mankai, Zhao, Yanhong, Wang, Di, Gao, Jie, Liu, Jinhua, Gao, Yuchen, Li, Huiyuan, Wang, Wentian, Chi, Ying, Yang, Renchi, Chen, Lu, Shi, Lihong, and Zhang, Lei

Subjects
*MYELOPROLIFERATIVE neoplasms, *HEMATOPOIETIC stem cells, *PHENOTYPES, *HETEROGENEITY, *PLATELET count, *MYELOFIBROSIS
Abstract

Summary: JAK2V617F is the most frequent mutation in BCR‐ABL‐negative myeloproliferative neoplasms (MPNs). It is an important but not the only determinant of MPN phenotype. We performed high‐throughput sequencing on JAK2V617F+ essential thrombocythaemia (ET) and polycythaemia vera (PV) patient samples to unveil factors involved in phenotypic heterogeneity and to identify novel therapeutic targets for MPN. Two concurrent mutations that may affect phenotype were identified, including mutations in SH2B3, which is primarily prevalent in PV, and SF3B1, which is more commonly mutated in ET. Next, we conducted transcriptomic analysis at the haematopoietic stem cell (HSC) and megakaryocyte (MK)‐erythroid progenitor (MEP) levels. Inflammatory signalling pathways were elevated in both ET HSCs and MEPs, unlike in PV HSCs and MEPs. Notably, Wnt/β‐catenin signalling was uniquely upregulated during ET haematopoietic differentiation from HSC to MEP, and inhibiting Wnt/β‐catenin signalling blocked MK differentiation in vitro. Consistently, Wnt/β‐catenin inhibitor administration decreased platelet counts in JAK2V617F+ MPN mice by blocking MEPs and MK progenitors and by inhibiting maturation of MKs, while in wild‐type mice, Wnt/β‐catenin inhibitor did not significantly reduce platelet counts. In conclusion, our findings provide new insights into the mechanisms underlying phenotypic differentiation of JAK2V617F+ PV and ET and indicate Wnt/β‐catenin signalling as a potential therapeutic target for MPN. [ABSTRACT FROM AUTHOR]

Published
2023
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