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Zhang LY, Zheng WJ, Li K, JianPing-Ye, Qiu ZM, Zhao GJ, Jin PP, Chen LW, Tang YH, Hong GL, Lu ZQ. Risk model for predicting mortality in patients with necrotizing soft tissue infections in the intensive care unit. Burns 2024; 50:578-584. [PMID: 38238240 DOI: 10.1016/j.burns.2023.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 11/10/2023] [Accepted: 11/17/2023] [Indexed: 04/08/2024]
Abstract
BACKGROUND The goal of this study is to look into the factors that lead to death in patients with necrotizing soft tissue infections(NSTIs) in the intensive care unit and create a mortality risk model. METHODS The clinical data of 106 patients with necrotizing soft tissue infections admitted to intensive care unit(ICU) of the First Affiliated Hospital of Wenzhou Medical University between January 2008 and December 2021 were retrospectively analyzed. Univariate analysis and multivariate analysis were performed to evaluate the risk factors impacting patient mortality. The regression coefficient in binary logistic regression analysis was converted into the item score in the model, and then the model score of each patient was calculated. Finally, an ROC curve was constructed to evaluate the efficiency of the model for predicting mortality. Thirteen patients with NSTIs admitted to ICU between January 2022 and November 2022 were used to validate the model. RESULTS The death group had 44 patients, while the survival group had 62 patients. The overall mortality was 41.5%. Binary logistic regression analysis showed that risk factors for mortality were age≥ 60 years(OR:4.419; 95%CI:1.093-17.862; P = 0.037), creatinine ≥ 132μmol/L(OR:11.166; 95%CI:2.234-55.816; P = 0.003), creatine kinase ≥ 1104 U/L(OR:4.019; 95%CI:1.134-14.250; P = 0.031), prothrombin time ≥ 24.4 s(OR:11.589; 95%CI:2.510-53.506; P = 0.002), and invasive mechanical ventilation (OR:17.404; 95%CI:4.586-66.052; P<0.000). The AUC of the model for predicting mortality was 0.940 (95% CI:0.894-0.986). When the cut-off value for the model was 4 points, the sensitivity was 95.5% and the specificity was 83.9%. CONCLUSION The death risk model in this study for NSTIs patients in the intensive care unit shows high sensitivity and specificity. Patients with a score of ≥ 4 points have a higher risk of mortality.
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Affiliation(s)
- Lu-Yao Zhang
- Department of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Wenzhou Key Laboratory emergency and disaster medicine, Wenzhou 325000, China
| | - Wei-Jie Zheng
- Department of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Wenzhou Key Laboratory emergency and disaster medicine, Wenzhou 325000, China
| | - Ke Li
- Lishui People's Hospital, Lishui 323000, China
| | - JianPing-Ye
- Lishui People's Hospital, Lishui 323000, China
| | - Zhi-Min Qiu
- Department of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Wenzhou Key Laboratory emergency and disaster medicine, Wenzhou 325000, China
| | - Guang-Ju Zhao
- Department of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Wenzhou Key Laboratory emergency and disaster medicine, Wenzhou 325000, China
| | - Pin-Pin Jin
- Department of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Wenzhou Key Laboratory emergency and disaster medicine, Wenzhou 325000, China
| | - Long-Wang Chen
- Department of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Wenzhou Key Laboratory emergency and disaster medicine, Wenzhou 325000, China
| | - Ya-Hui Tang
- Department of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Wenzhou Key Laboratory emergency and disaster medicine, Wenzhou 325000, China
| | - Guang-Liang Hong
- Department of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Wenzhou Key Laboratory emergency and disaster medicine, Wenzhou 325000, China
| | - Zhong-Qiu Lu
- Department of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Wenzhou Key Laboratory emergency and disaster medicine, Wenzhou 325000, China.
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Zhang TY, Chen YQ, Tan JC, Zhou JA, Chen WN, Jiang T, Zha JY, Zeng XK, Li BW, Wei LQ, Zou Y, Zhang LY, Hong YM, Wang XL, Zhu RZ, Xu WX, Xi J, Wang QQ, Pan L, Zhang J, Luan Y, Zhu RX, Wang H, Chen C, Liu NN. Global fungal-host interactome mapping identifies host targets of candidalysin. Nat Commun 2024; 15:1757. [PMID: 38413612 PMCID: PMC10899660 DOI: 10.1038/s41467-024-46141-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 02/15/2024] [Indexed: 02/29/2024] Open
Abstract
Candidalysin, a cytolytic peptide toxin secreted by the human fungal pathogen Candida albicans, is critical for fungal pathogenesis. Yet, its intracellular targets have not been extensively mapped. Here, we performed a high-throughput enhanced yeast two-hybrid (HT-eY2H) screen to map the interactome of all eight Ece1 peptides with their direct human protein targets and identified a list of potential interacting proteins, some of which were shared between the peptides. CCNH, a regulatory subunit of the CDK-activating kinase (CAK) complex involved in DNA damage repair, was identified as one of the host targets of candidalysin. Mechanistic studies revealed that candidalysin triggers a significantly increased double-strand DNA breaks (DSBs), as evidenced by the formation of γ-H2AX foci and colocalization of CCNH and γ-H2AX. Importantly, candidalysin binds directly to CCNH to activate CAK to inhibit DNA damage repair pathway. Loss of CCNH alleviates DSBs formation under candidalysin treatment. Depletion of candidalysin-encoding gene fails to induce DSBs and stimulates CCNH upregulation in a murine model of oropharyngeal candidiasis. Collectively, our study reveals that a secreted fungal toxin acts to hijack the canonical DNA damage repair pathway by targeting CCNH and to promote fungal infection.
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Affiliation(s)
- Tian-Yi Zhang
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yao-Qi Chen
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jing-Cong Tan
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jin-An Zhou
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Wan-Ning Chen
- Department of Gastroenterology, The Shanghai Tenth People's Hospital, Department of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Tong Jiang
- The Center for Microbes, Development, and Health, Key Laboratory of Molecular Virology and Immunology, Unit of Pathogenic Fungal Infection & Host Immunity, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jin-Yin Zha
- State Key Laboratory of Systems Medicine for Cancer, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
| | - Xiang-Kang Zeng
- The Center for Microbes, Development, and Health, Key Laboratory of Molecular Virology and Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Science, Shanghai, China
| | - Bo-Wen Li
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lu-Qi Wei
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yun Zou
- The Center for Microbes, Development, and Health, Key Laboratory of Molecular Virology and Immunology, Unit of Pathogenic Fungal Infection & Host Immunity, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Lu-Yao Zhang
- The Center for Microbes, Development, and Health, Key Laboratory of Molecular Virology and Immunology, Unit of Pathogenic Fungal Infection & Host Immunity, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yue-Mei Hong
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiu-Li Wang
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Run-Ze Zhu
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Wan-Xing Xu
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jing Xi
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qin-Qin Wang
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lei Pan
- The Center for Microbes, Development, and Health, Key Laboratory of Molecular Virology and Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Science, Shanghai, China
| | - Jian Zhang
- State Key Laboratory of Systems Medicine for Cancer, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
| | - Yang Luan
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Rui-Xin Zhu
- Department of Gastroenterology, The Shanghai Tenth People's Hospital, Department of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Hui Wang
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Changbin Chen
- The Center for Microbes, Development, and Health, Key Laboratory of Molecular Virology and Immunology, Unit of Pathogenic Fungal Infection & Host Immunity, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Ning-Ning Liu
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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Wang JY, Xiao WH, Zhang LY, Zhang C, Wei J, Yang JJ, Zhou B, Zhao L, Zhang XL, Xu LY, Hong SD, Dong XS, Liu GL. [Application value of questionnaires in the screening obstructive sleep apnea syndrome in pregnancy across trimesters]. Zhonghua Yi Xue Za Zhi 2023; 103:3932-3937. [PMID: 38129170 DOI: 10.3760/cma.j.cn112137-20230726-00096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Objective: To evaluate the clinical utility value of questionnaires of Berlin, STOP, STOP-Bang (SBQ), Epworth Sleepiness Scale (ESS) in screening obstructive sleep apnea syndrome (OSAS) in pregnant women of different trimesters. Methods: Consecutive pregnant women at high risk for OSAS were enrolled from January, 2021 to April, 2022 at the obstetric clinic of Peking University People's Hospital. They completed questionnaires of Berlin, STOP, SBQ, ESS and also underwent an overnight polysomnography (PSG). To evaluate the accuracy of questionnaires of Berlin, STOP, SBQ, ESS, sensitivity, specificity, positive predictive values, negative predictive values and the area under the receiver operating characteristics (ROC) curve of these questionnaires in pregnancy across trimesters (Pregnancy 1-15 weeks was the first stage, pregnancy 16-27 weeks was the second stage, and pregnancy 28-40 weeks was the third stage) were calculated. Results: A total of 100 pregnant women [(34.5±4.3) years old (26-46 years old)] were included in this study, including 20, 35 and 45 pregnant women in the first, second and third trimester of pregnancy, respectively. Based on PSG results, 45 (45%) of 100 pregnant women were diagnosed with OSAS. The overall predictive values of the four questionnaires were not good, area under[AUC(95%CI)] the ROC curve ESS, Berlin questionnaire STOP and SBQ were 0.54(0.43, 0.66), 0.59 (0.47, 0.70), 0.62(0.51, 0.73) and 0.61 (0.49, 0.72), respectively, sensitivity was 35.6%, 65.9%, 48.9%, 28.9%, specificity was 71.7%, 52.5%, 73.6%, 92.5%. When categorized according to trimesters, the predicted values of the four questionnaires increased in the first trimester, the AUC (95%CI) of STOP questionnaire was 0.81 (0.61, 1.00), sensitivity was 75.0%, specificity was 87.5%. Conclusion: The overall predictive power of the four screening questionnaires is limited in pregnant women. But predictive value of STOP questionnaire is acceptable in the first trimester.
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Affiliation(s)
- J Y Wang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - W H Xiao
- Department of Respiratory Medicine and Intensive Care Unit, Binzhou Medical University Hospital, Binzhou 256603, China
| | - L Y Zhang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - C Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - J Wei
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J J Yang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - B Zhou
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - L Zhao
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - X L Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - L Y Xu
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - S D Hong
- National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - X S Dong
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - G L Liu
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
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Zou Y, Yan XL, Flores RM, Zhang LY, Yang SP, Fan LY, Deng T, Deng XJ, Ye DQ. Source apportionment and ozone formation mechanism of VOCs considering photochemical loss in Guangzhou, China. Sci Total Environ 2023; 903:166191. [PMID: 37567293 DOI: 10.1016/j.scitotenv.2023.166191] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
Understanding the sources and impact of volatile organic compounds (VOCs) on ozone formation is challenging when the traditional method does not account for their photochemical loss. In this study, online monitoring of 56 VOCs was carried out in summer and autumn during high ozone pollution episodes. The photochemical age method was used to evaluate the atmospheric chemical loss of VOCs and to analyze the effects on characteristics, sources, and ozone formation of VOC components. The initial concentrations during daytime were 5.12 ppbv and 4.49 ppbv higher than the observed concentrations in the summer and autumn, respectively. The positive matrix factorization (PMF) model identified 5 major emission sources. However, the omission of the chemical loss of VOCs led to underestimating the contributions of sources associated with highly reactive VOC components, such as those produced by biogenic emissions and solvent usage. Conversely it resulted in overestimating the contributions from VOC components with lower chemical activity such as liquefied petroleum gas (LPG) usage, vehicle emissions, and gasoline evaporation. Furthermore, the estimation of ozone formation may be underestimated when the atmospheric photochemical loss is not taken into account. The ozone formation potential (OFP) method and propylene-equivalent concentration method both underestimated ozone formation by 53.24 ppbv and 47.25 ppbc, respectively, in the summer, and by 40.34 ppbv and 26.37 ppbc, respectively, in the autumn. The determination of the ozone formation regime based on VOC chemical loss was more acceptable. In the summer, the ozone formation regime changed from the VOC-limited regime to the VOC-NOx transition regime, while in the autumn, the ozone formation regime changed from the strong VOC-limited regime to the weak VOC-limited regime. To obtain more thorough and precise conclusions, further monitoring and analysis studies will be conducted in the near future on a wider variety of VOC species such as oxygenated VOCs (OVOCs).
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Affiliation(s)
- Y Zou
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China; Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - X L Yan
- State Key Laboratory of Severe Weather & Institute of Tibetan Plateau Meteorology, Chinese Academy of Meteorological Sciences, Beijing, China
| | - R M Flores
- Marmara University, Department of Environmental Engineering, Istanbul, Turkey
| | - L Y Zhang
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - S P Yang
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - L Y Fan
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - T Deng
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - X J Deng
- Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
| | - D Q Ye
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
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Xu WN, Cheng H, Ma SR, Wang Z, Li ZS, Zhang LY. [Primary Castleman's disease of liver: report of a case]. Zhonghua Bing Li Xue Za Zhi 2023; 52:1290-1292. [PMID: 38058053 DOI: 10.3760/cma.j.cn112151-20230905-00133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Affiliation(s)
- W N Xu
- Department of Pathology, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - H Cheng
- Department of Pathology, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - S R Ma
- Department of Pathology, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - Z Wang
- Department of Pathology, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - Z S Li
- Department of Pathology, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
| | - L Y Zhang
- Department of Pathology, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China
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6
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Jia JM, Ren JS, Zhang LY. [Current status and treatment strategies for liver injury before targeted immunotherapy for liver cancer]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:1133-1136. [PMID: 38238945 DOI: 10.3760/cma.j.cn501113-20230914-00107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
The occurrence rate of primary liver cancer in malignant tumors ranks sixth in the world, and the mortality rate ranks third, with a poor prognosis and a five-year survival rate of less than 5%. Most patients with liver cancer in China are found to be in the intermediate and advanced stages, and a targeted immunotherapy combination has become the main treatment option. However, many patients have underlying liver lesions, and their liver function cannot meet the requirements of targeted immunotherapy, which directly affects the treatment of liver cancer patients. Therefore, it is very important to optimize the patient's liver function in a timely manner so as to obtain the opportunity for anti-tumor therapy. This article reviews the current status and response strategies before liver injury related to targeted immune therapy in patients with primary liver cancer.
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Affiliation(s)
- J M Jia
- Department of Oncology, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - J S Ren
- Department of Oncology, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - L Y Zhang
- Department of Oncology, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
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Zhang LY, Zhu CZ, Pan LP, Zhang ZD. [Research progress on Mycobacterium tuberculosis acetyltransferase]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:1141-1146. [PMID: 37914429 DOI: 10.3760/cma.j.cn112147-20230725-00028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
The protein acetylation of Mycobacterium tuberculosis(MTB) plays an important role in virulence, drug resistance, regulation of metabolism and host anti-tuberculosis immune response. The proteins acetylation of MTB and host protein could be induced by the MTB acetyltransferase, which is related to the occurrence, development and prognosis of tuberculosis (TB). A clear understanding of the function of MTB acetyltransferase and identification of its targeted regulatory protein acetylation modification is critical to elucidate the pathogenic mechanism and drug resistance mechanism of TB, and then this could then provide new targets for the development of anti-tuberculosis drugs. This article systematically reviewed the research progress on MTB acetyltransferase related functions, which will provide a theoretical basis for further research on its mediated protein acetylation modification, further development of new anti-tuberculosis drugs and elucidation of drug resistance mechanism.
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Affiliation(s)
- L Y Zhang
- Laboratory of Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Key Laboratory for Drug Resistance Tuberculosis Research, Beijing 101149, China
| | - C Z Zhu
- Laboratory of Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Key Laboratory for Drug Resistance Tuberculosis Research, Beijing 101149, China
| | - L P Pan
- Laboratory of Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Key Laboratory for Drug Resistance Tuberculosis Research, Beijing 101149, China
| | - Z D Zhang
- Laboratory of Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Key Laboratory for Drug Resistance Tuberculosis Research, Beijing 101149, China
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Liu CH, Zhao H, Xia Y, Cao Y, Zhang LY, Zhao Y, Gao LY, Liu RF, Liu YW, Liu HF, Meng ZL, Liu SZ, Lu Y, Palashate Y, Li XY. [A single-center study on the oncological outcomes of active surveillance of thyroid nodules measuring≤1 cm with highly suspicious ultrasound features]. Zhonghua Yi Xue Za Zhi 2023; 103:3186-3192. [PMID: 37879872 DOI: 10.3760/cma.j.cn112137-20230206-00168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Abstract
Objective: To investigate the oncological outcomes of active surveillance (AS) in patients showing thyroid nodules measuring≤1 cm with highly suspicious ultrasound features. Methods: A prospective single-center cohort study. A total of 534 patients with highly suspicious thyroid nodules (2015 American Thyroid Association Nodule Sonographic Patterns and Risk of Malignancy: High Suspicion) were enrolled in this study, the patients received AS at Peking Union Medical College Hospital between January 2017 and November 2022 to assess oncological outcomes (disease progression, recurrence/metastasis rate, etc). The patients were followed up every 6 months for physical examination and neck ultrasound examination. And the value of tumor volume changes in evaluating tumor enlargement was explored too. Results: There were 413 females and 121 males in this cohort, with a mean age of (42.6±11.8) years. During a median follow-up period of 45.6 months (ranged from 3.5 to 176.0 months), disease progression occurred in 26 patients (4.9%) with highly suspicious thyroid nodules, characterized by a minimum 3-mm increase in tumor diameter in 19 patients (3.6%) and lymph node metastases in 7 patients (1.3%). Forty-seven (8.8%) patients opted for delayed surgery, with 29 patients due to a change in preference. There was no significant differences in pathologic and follow-up outcomes between patients with disease progression and preference change. Patients aged≤40 years had a higher cumulative incidence of 5-year disease progression than those aged>40 years (4.9% vs 1.9%, P=0.060). No patients experienced distant metastases or deaths. Among the 595 high-risk thyroid nodules with continuous volume assessment results and an increase in nodule diameter of less than 3 mm (including all high-risk nodules in patients with single or multiple nodules), 184 (30.9%) and 79 (13.3%) nodules exhibited volume increases of more than 50% and 100%, respectively, in multiple measurements. Among the nodules with volume changes exceeding 50% and 100%, the proportion of nodules with a baseline tumor diameter of≤0.5 cm was significantly higher than those with a diameter of>0.5 cm, at 69.0% vs 31.0% (P<0.001) and 77.2% vs 22.8% (P<0.001), respectively. Conclusions: Active surveillance in patients with highly suspicious subcentimeter thyroid nodules has good short-term oncological outcomes and can be considered a safe alternative to surgery. Due to the large variability in the measurement results of tumor volume, it is not suitable as an indicator for evaluating tumor enlargement.
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Affiliation(s)
- C H Liu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - H Zhao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y Xia
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y Cao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - L Y Zhang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y Zhao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - L Y Gao
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - R F Liu
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y W Liu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - H F Liu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Z L Meng
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - S Z Liu
- Department of Otolaryngology Head and Neck Surgery, Hainan General Hospital, Haikou 570311, China
| | - Y Lu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yeerkenbieke Palashate
- Second Department of General Surgery, Xinjiang Yili Kazak Autonomous Prefecture Friendship Hospital, Yili 835800, China
| | - X Y Li
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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Bai R, Wang JY, Zhang C, Hong SD, Zhang LY, Wei J, Wang Y, Yang JJ, Dong XS, Han F, Liu GL. [Relationships between hypertensive disorders in pregnancy and obstructive sleep apnea syndrome]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:658-663. [PMID: 37724382 DOI: 10.3760/cma.j.cn112141-20230219-00074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
Abstract
Objective: To investigate the impact of obstructive sleep apnea syndrome (OSAS) on pregnancy outcomes, especially the relationship between OSAS and hypertensive disorders in pregnancy (HDP). Methods: A total of 228 pregnant women with high risk of OSAS who underwent sleep monitoring during pregnancy in Peking University People's Hospital from January 2021 to April 2022 were collected by reviewing their medical records for retrospective analysis. According to the diagnosis of OSAS, the pregnant women were divided into OSAS group (105 cases) and non-OSAS group (123 cases). The non-parametric Mann-Whitney U test, χ2 test or Fisher's exact test were used to compare the general data and maternal and fetal outcomes between the two groups, and the occurrence of each type of HDP was further compared. Results: (1) Compared with the non-OSAS group, the median pre-pregnancy body mass index (23.6 vs 27.6 kg/m2) and the proportion of snoring [28.9% (33/114) vs 59.2% (61/103)] in the OSAS group were higher, and the differences were both statistically significant (both P<0.001). (2) The incidence of HDP [67.6% (71/105) vs 39.0% (48/123)] and gestational diabetes mellitus [GDM; 40.0% (42/105) vs 26.8% (33/123)] of pregnant women in the OSAS group were higher than those in the non-OSAS group, and the median delivery week was shorter than that in the non-OSAS group (38.4 vs 39.0 weeks). The differences were all statistically significant (all P<0.05). Between-group differences for the delivery way, postpartum hemorrhage, the rate of intensive care unit admission, preterm birth, small for gestational age infants, neonatal asphyxia, the rate of neonatal intensive care unit admission, newborn birth weight and the proportion of umbilical artery blood pH<7.00 were not statistically significant (all P>0.05). (3) Compared with the non-OSAS group, the incidence of chronic hypertension [11.4% (14/123) vs 22.9% (24/105)] and chronic hypertension with superimposed pre-eclampsia [11.4% (14/123) vs 30.5% (32/105)] were higher in the OSAS group, and the differences were both statistically significant (both P<0.01). Conclusion: OSAS is related to HDP (especially chronic hypertension and chronic hypertension with superimposed pre-eclampsia) and GDM, which could provide a practical basis for the screening, diagnosis and treatment of OSAS in pregnant women at high risk.
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Affiliation(s)
- R Bai
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J Y Wang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - C Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - S D Hong
- National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - L Y Zhang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J Wei
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - Y Wang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - J J Yang
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
| | - X S Dong
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - F Han
- Division of Sleep Medicine, Peking University People's Hospital, Beijing 100044, China
| | - G L Liu
- Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China
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10
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An R, Ma ZY, Zhu HY, Zhang LY, Li L, Wang C, Ding HY. [Clinicopathological analysis of benign mammary ductal cystic papillomatosis with loss of myoepithelial cells]. Zhonghua Bing Li Xue Za Zhi 2023; 52:902-906. [PMID: 37670618 DOI: 10.3760/cma.j.cn112151-20230209-00113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Abstract
Objective: To investigate the histopathological and immunohistochemical characteristics of benign apocrine cystic papillary hyperplasia of the breast with loss of myoepithelial cell layer. Methods: The clinical data, histopathological features and immunohistochemical profile of patients with benign apocrine cystic papillary hyperplasia of breast with loss of myoepithelial cell layer from January 2016 to December 2021 were examined, in which six patients were identified. Results: All six patients were female, aged 36-61 years (median 46 years), who presented with a breast mass; three cases were from the left breast and three cases were from the right breast. Microscopic examination of all cases showed breast hyperplasia with apocrine cysts, accompanied by different degrees of micropapillary and papillary hyperplasia of apocrine cells. One case was associated with lobular carcinoma in situ, and one case was associated with apocrine ductal carcinoma in situ with intraductal dissemination in adenosis. Immunohistochemical staining of CK5/6, p63, SMA, SMMHC, Calponin and CD10 showed complete absence of myoepithelial cell layer surrounding ducts in apocrine cystic papillary hyperplasia. Conclusions: The myoepithelial cells of apocrine cystic papillary hyperplasia of the breast may undergo abnormal changes and may even be completely lost. The diagnosis should be comprehensively considered along with cytomorphological and histological features to avoid overdiagnosis.
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Affiliation(s)
- R An
- Department of Pathology, Seventh Medical Center, Chinese PLA Ceneral Hospital, Beijing 100700, China
| | - Z Y Ma
- Department of Pathology, Seventh Medical Center, Chinese PLA Ceneral Hospital, Beijing 100700, China
| | - H Y Zhu
- Department of Pathology, Seventh Medical Center, Chinese PLA Ceneral Hospital, Beijing 100700, China
| | - L Y Zhang
- Department of Pathology, Daxing Teaching Hospital, Capital Medical University, Beijing 102600, China
| | - L Li
- Department of Pathology, Seventh Medical Center, Chinese PLA Ceneral Hospital, Beijing 100700, China
| | - C Wang
- Department of Pathology, Seventh Medical Center, Chinese PLA Ceneral Hospital, Beijing 100700, China
| | - H Y Ding
- Department of Pathology, Seventh Medical Center, Chinese PLA Ceneral Hospital, Beijing 100700, China
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11
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Wang YH, Yuan HG, Zhang LY, Lin Y, Wang T, Xu H, Zhao X, Duan HW. [Application of mixture analysis methods in association between metals mixture exposure and DNA oxidative damage]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1026-1031. [PMID: 37482739 DOI: 10.3760/cma.j.cn112150-20221031-01046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objectives: To study the association between metals mixture exposure and DNA oxidative damage using mixture analysis methods, and to explore the most significant exposure factors that cause DNA oxidative damage. Methods: Workers from steel enterprises were recruited in Shandong Province. Urinary metals were measured by using the inductively coupled plasma mass spectrometry method. The level of urinary 8-hydroxy-2'-deoxyguanosine (8-OHdG) was determined by using the ultra-high performance liquid chromatography-mass spectrometry method. Bayesian kernel machine regression (BKMR), elastic net regression and quantile g-computation regression were used to analyze the association between urinary metals and urinary 8-OHdG. Results: A total of 768 subjects aged (36.15±7.40) years old were included in the study. BKMR, elastic net regression and quantile g-computation all revealed an overall positive association between the mixture concentration and increased urinary 8-OHdG. The quantile g-computation results showed that with a 25% increase in metal mixtures, the urinary 8-OHdG level increased by 77.60%. The elastic net regression showed that with a 25% increase in exposure risk score, the urinary 8-OHdG level increased by 26%. The BKMR summarized the contribution of individual exposures to the response, and selenium, zinc, and nickel were significant contributors to the urinary 8-OHdG elevation. Conclusion: Exposure to mixed metals causes elevated levels of DNA oxidative damage, and selenium, zinc, and nickel are significant exposure factors.
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Affiliation(s)
- Y H Wang
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - H G Yuan
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L Y Zhang
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Y Lin
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - T Wang
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - H Xu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - X Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - H W Duan
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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12
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Zhao Y, Liu XM, Zhang LY, Li B, Wang RH, Yuan QY, Wang SC, Zhu HP, Zhi H, Zhang JQ, Zhang W. Sex and age differences in chronic postoperative pain among patients undergoing thoracic surgery: a retrospective cohort study. Front Med (Lausanne) 2023; 10:1180845. [PMID: 37351073 PMCID: PMC10282545 DOI: 10.3389/fmed.2023.1180845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/19/2023] [Indexed: 06/24/2023] Open
Abstract
Background The effect of sex and age on chronic post-thoracic surgical pain (CPTP) at rest and with activity remains unclear. The main purpose of this study was to investigate the relationship between the incidence of chronic postoperative pain (at rest and with activity) and sex/age differences. Methods This was a single-center retrospective study that included adult patients who had undergone elective thoracic surgery. Patients were divided into two groups based on sex. Demographic and perioperative data were collected, including age, sex, education level, Body Mass Index (BMI), American Society of Anesthesiologists (ASA) physical status, and medical history (hypertension, diabetes mellitus). Chronic postoperative pain data were collected by telephone follow-up. Results Among the 3,159 patients enrolled, 1,762 were male, and 1,397 were female. After creating a matched-pairs cohort, 1,856 patients were analyzed. The incidence of CPTP at rest was 14.9% among males and 17.8% among females (p = 0.090). The incidence of CPTP with activity was 28.4% among males and 35.0% among females (p = 0.002). We analyzed three different models after propensity matching to validate the stability of the prediction model between sex and CPTP, and female sex was a significant predictor of CPTP with activity 3 months after surgery. Further analysis showed that females in the 45-55-year-old age group were more prone to develop CPTP. Conclusion Females have a higher incidence of chronic postoperative pain with activity after thoracic surgery. Females in the 45-55-year-old age group are more prone to develop CPTP than females in other age groups.
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Affiliation(s)
- Ying Zhao
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Xin-Min Liu
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Lu-Yao Zhang
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Bing Li
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Ruo-Han Wang
- Department of Anesthesiology and Perioperative Medicine, Henan University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Qin-Yue Yuan
- Department of Anesthesiology and Perioperative Medicine, Henan University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Shi-Chao Wang
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Hai-Peng Zhu
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Hui Zhi
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Jia-Qiang Zhang
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Wei Zhang
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou University People’s Hospital; Henan Provincial People’s Hospital, Zhengzhou, Henan, China
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Zhang LY, Sun JH. [Etiology, diagnosis and treatment strategy of dental therapy-related subcutaneous emphysema]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:600-604. [PMID: 37272006 DOI: 10.3760/cma.j.cn112144-20221008-00520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Subcutaneous emphysema is the local tissue swelling caused by the gas entering the subcutaneous tissue through the tissue gap. Although subcutaneous emphysema is usually a nonfatal and self-limited disease, in severe cases, the gas may spread to the neck, mediastinum and chest, resulting in mediastinal emphysema and other serious complications. This article reviews the etiology, pathogenesis, clinical manifestations, diagnosis, differential diagnosis of subcutaneous emphysema related to dental therapy,and operations that may cause subcutaneous emphysema in stomatology department,as well as the treatment and prognosis of subcutaneous emphysema, with a view to providing some references for dentists.
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Affiliation(s)
- L Y Zhang
- Department of Endodontics, Capital Medical University School of Stomatology, Beijing 100050, China
| | - J H Sun
- Department of Endodontics, Capital Medical University School of Stomatology, Beijing 100050, China
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Liang L, Zhang LY, Liu WT, Zong C, Gao L, Li R, Zhao QD, Zhao NP, Wei LX, Zhang L, Han ZP. Babao Dan decreases hepatocarcinogenesis by inhibiting hepatic progenitor cells malignant transformation via down-regulating toll-like receptor 4. Front Oncol 2023; 13:1073859. [PMID: 37251918 PMCID: PMC10213212 DOI: 10.3389/fonc.2023.1073859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 04/11/2023] [Indexed: 05/31/2023] Open
Abstract
Background Babao Dan (BBD) is a traditional Chinese medicine that has been widely used as a complementary and alternative medicine to treat chronic liver diseases. In this study, we aimed to observe the effect of BBD on the incidence of diethylnitrosamine (DEN)-initiated hepatocellular carcinoma formation in rats and explored its possible mechanism. Methods To verify this hypothesis, BBD was administrated to rats at a dose of 0.5g/kg body weight per two days from the 9th to 12th week in HCC-induced by DEN. Liver injury biomarkers and hepatic inflammatory parameters were evaluated by histopathology as well as serum and hepatic content analysis. We applied immunohistochemical analysis to investigate the expression of CK-19 and SOX-9 in liver tissues. The expression of TLR4 was determined by immunohistochemical, RT-PCR, and western blot analysis. Furthermore, we also detected the efficacy of BBD against primary HPCs neoplastic transformation induced by LPS. Results We observed that DEN could induce hepatocarcinogenesis, and BBD could obviously decrease the incidence. The biochemical and histopathological examination results confirmed that BBD could protect against liver injury and decrease inflammatory infiltration. Immunohistochemistry staining results showed that BBD could effectively inhibit the ductal reaction and the expression of TLR4. The results showed that BBD-serumcould obviously inhibit primary HPCs neoplastic transformation induced by regulating the TLR4/Ras/ERK signaling pathway. Conclusion In summary, our results indicate that BBD has potential applications in the prevention and treatment of HCC, which may be related to its effect on hepatic progenitor cells malignant transformation via inhibiting the TLR4/Ras/ERK signaling pathway.
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Affiliation(s)
- Lei Liang
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Naval Medical University, Shanghai, China
- Department of Hepatobiliary, Pancreatic and Minimal Invasive Surgery, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China
- Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Hangzhou, China
| | - Lu-Yao Zhang
- Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China
- Department of Clinical Pharmacology, The Second Hospital of Anhui Medical University, Hefei, China
- School of Pharmacy, Anhui Medical University, Hefei, China
| | - Wen-Ting Liu
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Chen Zong
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Lu Gao
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Rong Li
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Qiu-Dong Zhao
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Na-Ping Zhao
- Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Li-Xin Wei
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Li Zhang
- Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China
- Department of Clinical Pharmacology, The Second Hospital of Anhui Medical University, Hefei, China
| | - Zhi-Peng Han
- Tumor Immunology and Gene Therapy Center, Third Affiliated Hospital of Naval Medical University, Shanghai, China
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Pang LJ, Li X, Yuan XX, Hei GR, Zhang LY, Wang SY, Chen YS, Song PL, Song XQ. [Establishment of diagnostic model for schizophrenia based on neurotrophic factor and other biomarkers]. Zhonghua Yi Xue Za Zhi 2023; 103:1310-1315. [PMID: 37150680 DOI: 10.3760/cma.j.cn112137-20221212-02631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Objective: To construct a diagnostic model of schizophrenia (SCZ) based on biomarkers such as serum neurotrophic factor. Methods: Patients of schizophrenia (SCZ group) and healthy controls (HC group) who were admitted to the First Affiliated Hospital of Zhengzhou University from January 2017 to December 2019 were prospectively selected. In the SCZ group, the mental symptoms were assessed by the positive and negative symptom scale (PANSS), cognitive function was assessed by the MATRICS consensus cognitive battery (MCCB), brain-derived neurotrophic factor (BDNF), glial cell derived neurotrophic factor (GDNF), fasting glucose (FGB) and fasting insulin (FINS) levels were detected, and insulin resistance (HOMA-IR) was calculated. The same methods were used to evaluate cognitive function, measure BDNF, GDNF, FGB and FINS levels, and calculate HOMA-IR in HC group. The indexes with statistically significant differences between the two groups were selected to be included in the model. The diagnostic model was constructed by machine learning and verified by cross-validation method, the receiver operating curve (ROC) was plotted, and the area under the curve (AUC), sensitivity and specificity were calculated. Results: (1) A total of 142 patients (70 males and 72 females) with schizophrenia were finally included, and aged (25±4) years. Meanwhile, 140 healthy controls (72 males and 68 females) were also enrolled, and aged (26±4) years. In SCZ group, scores in all areas of cognitive function were lower than those in HC group (all P<0.001), the levels of serum BDNF and GDNF [(6.7±1.8) ng/ml and (405±93) pg/ml] were also lower than those in HC group [(12.3±3.2) ng/ml and (574±139) pg/ml] (both P<0.001), but the levels of FINS and HOMA-IR [(8.4±0.8) μU/ml and 1.7±0.3] were higher than those in HC group [(6.7±0.9) μU/ml and 1.4±0.3] (both P<0.001). (2) Correlation analysis showed that the level of serum BDNF had a negative correlation with negative symptom scores and total scores (r=-0.31, P<0.001; r=-0.17, P=0.040), but had a positive correlation with attention/alertness (CPT-IP) T scores, working memory (WSM-Ⅲ) T scores and visual learning (BVMT) T scores in SCZ group (r=0.39, 0.37 and 0.29, all P<0.001). The level of serum GDNF also had a positive correlation with CPT-IP T scores, WSM-Ⅲ T scores and BVMT T scores (r=0.32, P<0.001; r=0.23, P=0.007; r=0.40, P<0.001). The values of HOMA-IR had a positive correlation with social cognition (MSCEIT) T scores in SCZ group (r=0.18, P=0.033). (3) AUC of the early diagnosis model constructed by combining BDNF, GDNF and HOMA-IR was 0.890 (95%CI: 0.832-0.940), the accuracy was 0.89, the sensitivity and specificity was 0.94 and 0.82, respectively. Conclusion: The final diagnostic model based on biomarkers of serum neurotrophic factor has good diagnostic efficiency for SCZ, but large-scale independent sample verification is still needed.
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Affiliation(s)
- L J Pang
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Biological Psychiatry, Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou 450052, China
| | - X Li
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Biological Psychiatry, Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou 450052, China
| | - X X Yuan
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Biological Psychiatry, Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou 450052, China
| | - G R Hei
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Biological Psychiatry, Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou 450052, China
| | - L Y Zhang
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Biological Psychiatry, Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou 450052, China
| | - S Y Wang
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Biological Psychiatry, Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou 450052, China
| | - Y S Chen
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Biological Psychiatry, Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou 450052, China
| | - P L Song
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Biological Psychiatry, Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou 450052, China
| | - X Q Song
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Biological Psychiatry, Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou 450052, China
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Wang LH, Su J, Shen YP, He JJ, Lugaro M, Szányi B, Karakas AI, Zhang LY, Li XY, Guo B, Lian G, Li ZH, Wang YB, Chen LH, Cui BQ, Tang XD, Gao BS, Wu Q, Sun LT, Wang S, Sheng YD, Chen YJ, Zhang H, Li ZM, Song LY, Jiang XZ, Nan W, Nan WK, Zhang L, Cao FQ, Jiao TY, Ru LH, Cheng JP, Wiescher M, Liu WP. Measurement of the ^{18}O(α, γ)^{22}Ne Reaction Rate at JUNA and Its Impact on Probing the Origin of SiC Grains. Phys Rev Lett 2023; 130:092701. [PMID: 36930937 DOI: 10.1103/physrevlett.130.092701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/22/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
The ^{18}O(α,γ)^{22}Ne reaction is critical for AGB star nucleosynthesis due to its connection to the abundances of several key isotopes, such as ^{21}Ne and ^{22}Ne. However, the ambiguous resonance energy and spin-parity of the dominant 470 keV resonance leads to substantial uncertainty in the ^{18}O(α,γ)^{22}Ne reaction rate for the temperature of interest. We have measured the resonance energies and strengths of the low-energy resonances in ^{18}O(α,γ)^{22}Ne at the Jinping Underground Nuclear Astrophysics experimental facility (JUNA) with improved precision. The key 470 keV resonance energy has been measured to be E_{α}=474.0±1.1 keV, with such high precision achieved for the first time. The spin-parity of this resonance state is determined to be 1^{-}, removing discrepancies in the resonance strengths in earlier studies. The results significantly improve the precision of the ^{18}O(α,γ)^{22}Ne reaction rates by up to about 10 times compared with the previous data at typical AGB temperatures of 0.1-0.3 GK. We demonstrate that such improvement leads to precise ^{21}Ne abundance predictions, with an impact on probing the origin of meteoritic stardust SiC grains from AGB stars.
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Affiliation(s)
- L H Wang
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - J Su
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Y P Shen
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - J J He
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - M Lugaro
- Konkoly Observatory, Research Centre for Astronomy and Earth Sciences (CSFK), Eötvös Loránd Research Network (ELKH), Konkoly Thege Miklós út 15-17, 1121 Budapest, Hungary
- CSFK, MTA Centre of Excellence, Budapest, Konkoly Thege Miklós út 15-17, H-1121, Hungary
- ELTE Eötvös Loránd University, Institute of Physics, Budapest 1117, Pázmány Péter sétány 1/A, Hungary
- School of Physics and Astronomy, Monash University, Victoria 3800, Australia
| | - B Szányi
- Konkoly Observatory, Research Centre for Astronomy and Earth Sciences (CSFK), Eötvös Loránd Research Network (ELKH), Konkoly Thege Miklós út 15-17, 1121 Budapest, Hungary
- CSFK, MTA Centre of Excellence, Budapest, Konkoly Thege Miklós út 15-17, H-1121, Hungary
- Graduate School of Physics, University of Szeged, Dom tér 9, Szeged, 6720 Hungary
| | - A I Karakas
- School of Physics and Astronomy, Monash University, Victoria 3800, Australia
- ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), Australia
| | - L Y Zhang
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - X Y Li
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - B Guo
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - G Lian
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - Z H Li
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - Y B Wang
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - L H Chen
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - B Q Cui
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - X D Tang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - B S Gao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Q Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - L T Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - S Wang
- Shandong Provincial Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, Institute of Space Sciences, Shandong University, Weihai 264209, China
| | - Y D Sheng
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Y J Chen
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - H Zhang
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Z M Li
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - L Y Song
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - X Z Jiang
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - W Nan
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - W K Nan
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - L Zhang
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - F Q Cao
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
| | - T Y Jiao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - L H Ru
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J P Cheng
- Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - M Wiescher
- Department of Physics and The Joint Institute for Nuclear Astrophysics, University of Notre Dame, Notre Dame, Indiana 46556-5670, USA
- Wolfson Fellow of Royal Society, School of Physics and Astronomy, University of Edinburgh, King's Buildings, Edinburgh EH9 3FD, United Kingdom
| | - W P Liu
- China Institute of Atomic Energy, P. O. Box 275(10), Beijing 102413, China
- College of Science, Southern University of Science and Technology, Shenzhen 518055, China
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17
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Li T, Kong Y, Liu YY, Liu TF, Ma AD, Li LQ, Pei ZY, Zhang LY. [Demographic characteristics and associated influencing factors in treated patients with chronic hepatitis B with hypoviremia : a single-center retrospective cross-sectional study]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:42-48. [PMID: 36948848 DOI: 10.3760/cma.j.cn501113-20220121-00039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
Objective: To investigate the demographic characteristics and clinical influencing factors which associates with the occurrence probability of persistent or intermittent hypoviremia (LLV) in patients with chronic hepatitis B (CHB) treated with nucleos(t)ide analogues (NAs). Methods: A single-center retrospective analysis was performed on patients with CHB who received outpatient NAs therapy for≥48 ± 2 weeks. According to the serum hepatitis B virus (HBV) DNA load at 48±2 weeks treatment, the study groups were divided into LLV (HBV DNA < 20 IU/ml and < 2 000 IU/ml) and MVR group (sustained virological response, HBV DNA < 20 IU/ml). Demographic characteristics and clinical data at the start of NAs treatment (considered as baseline) were retrospectively collected for both patient groups. The differences in the reduction of HBV DNA load during treatment was compared between the two groups. Correlation and multivariate analysis were further conducted to analyze the associated factors influencing the LLV occurrence. Statistical analysis was performed using the independent samples t-test, c2 test, Spearman analysis, multivariate logistic regression analysis, or area under the receiver operating characteristic curve. Results: A total of 509 cases were enrolled, with 189 and 320 in the LLV and MVR groups, respectively. Compared to patients with MVR group at baseline: (1) the demographics characteristics of patients showed that LLV group was younger in age (39.1 years, P = 0.027), had a stronger family history (60.3%, P = 0.001), 61.9% received ETV treatment, and higher proportion of compensated cirrhosis (20.6%, P = 0.025) at baseline; (2) the serum virological characteristics of patients showed that LLV group had higher HBV DNA load, qHBsAg level, qHBeAg level, HBeAg positive rate, and the proportion of genotype C HBV infection but decreased HBV DNA during treatment (P < 0.001) at baseline; (3) the biochemical characteristics of patients showed that LLV group had lower serum ALT levels (P = 0.007) at baseline; (4) the noninvasive fibrosis markers of patients showed that LLV group were characterized by high aspartate aminotransferase platelet ratio index (APRI) (P = 0.02) and FIB-4 (P = 0.027) at baseline. HBV DNA, qHBsAg and qHBeAg were positively correlated with LLV occurrence (r = 0.559, 0.344, 0.435, respectively), while age and HBV DNA reduction were negatively correlated (r = -0.098, -0.876, respectively). Logistic regression analysis showed that ETV treatment history, high HBV DNA load at baseline, high qHBsAg level, high qHBeAg level, HBeAg positive, low ALT and HBV DNA level were independent risk factors for patients with CHB who developed LLV with NAs treatment. Multivariate prediction model had a good predictive value for LLV occurrence [AUC 0.922 (95%CI: 0.897 ~ 0.946)]. Conclusion: In this study, 37.1% of CHB patients treated with first-line NAs has LLV. The formation of LLV is influenced by various factors. HBeAg positivity, genotype C HBV infection, high baseline HBV DNA load, high qHBsAg level, high qHBeAg level, high APRI or FIB-4 value, low baseline ALT level, reduced HBV DNA during treatment, concomitant family history, metabolic liver disease history, and age < 40 years old are potential risk factors for developing LLV in patients with CHB during the therapeutic process.
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Affiliation(s)
- T Li
- Department of Hepatology, Second Hospital, Lanzhou University, Lanzhou 730030, China
| | - Y Kong
- Department of Hepatology, Second Hospital, Lanzhou University, Lanzhou 730030, China
| | - Y Y Liu
- Department of Hepatology, Second Hospital, Lanzhou University, Lanzhou 730030, China
| | - T F Liu
- Department of Hepatology, Second Hospital, Lanzhou University, Lanzhou 730030, China
| | - A D Ma
- Department of Hepatology, Second Hospital, Lanzhou University, Lanzhou 730030, China
| | - L Q Li
- Department of Hepatology, Second Hospital, Lanzhou University, Lanzhou 730030, China
| | - Z Y Pei
- Department of Hepatology, Second Hospital, Lanzhou University, Lanzhou 730030, China
| | - L Y Zhang
- Department of Hepatology, Second Hospital, Lanzhou University, Lanzhou 730030, China
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18
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Xu WN, Deng R, Zhang LY. [Dermatofibrosarcoma protuberans in a child: report of a case]. Zhonghua Bing Li Xue Za Zhi 2023; 52:67-69. [PMID: 36617913 DOI: 10.3760/cma.j.cn112151-20221027-00887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- W N Xu
- Department of Pathology, First Affiliated Hospital of Air Force Military Medical University, Xi'an 710032, China
| | - R Deng
- Guangzhou LBP Medicine Science&Technology Co., Ltd, Guangzhou 510705, China
| | - L Y Zhang
- Department of Pathology, First Affiliated Hospital of Air Force Military Medical University, Xi'an 710032, China
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Liu XM, Zhao Y, Zhang LY, Li B, Wang SC, Zhu HP, Zhi H, Zhang JQ, Zhang W. Effects of preoperative current smoking on chronic postsurgical pain in thoracic surgery: a retrospective cohort study. Am J Transl Res 2023; 15:2256-2267. [PMID: 37056802 PMCID: PMC10086929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/18/2023] [Indexed: 04/15/2023]
Abstract
OBJECTIVE This study aimed to investigate the effect of preoperative current smoking on chronic postsurgical pain in patients who underwent thoracic surgery. METHODS A total of 5,395 patients aged over 18 years old who underwent thoracic surgery from January 2016 to March 2020 in Henan Provincial People's Hospital were enrolled. Patients were divided into two groups: the smoking group (SG group) and the nonsmoking group (NSG group). Propensity score matching was utilized to eliminate the influence of confounding factors, and a multivariable logistic regression model was established to determine the effect of preoperative current smoking on chronic postsurgical pain. The dose-response relationship between the smoking index (SI) and chronic postsurgical pain at rest was analyzed using a restricted cubic spline curve. RESULTS In a matched cohort of 1028 patients, the incidence of chronic pain at rest was 13.2% in the smoking group and 19.0% in the nonsmoking group (P = 0.011). Three different models were used to verify the stability of the model between preoperative current smoking and chronic postsurgical pain. A regression model was established to determine the influence of different smoking indexes (SIs) on chronic postsurgical pain. The incidence of chronic pain at rest was lower in patients with SI ≥400 before thoracic surgery than in patients whose SI was less than 400. CONCLUSIONS A relationship between the preoperative current smoking index and chronic postsurgical pain at rest was observed. The incidence of chronic postsurgical pain at rest was lower in patients whose SI was greater than 400.
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Wang YY, Liu XJ, Pei LL, Liu K, Hu RY, Wang X, Sun WX, Zhang LY, Liang J, Xu YM, Song B. [The prevalence of atrial cardiomyopathy in patients with different types of acute ischemic stroke and its relationship with cryptogenic stroke]. Zhonghua Yi Xue Za Zhi 2022; 102:3598-3603. [PMID: 36480863 DOI: 10.3760/cma.j.cn112137-20220406-00714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objective: To investigate the prevalence of atrial cardiomyopathy in patients with different types of acute ischemic stroke and its relationship with cryptogenic stroke. Methods: Patients with acute ischemic stroke within 7 days of onset who were admitted to the Department of Neurology of the First Affiliated Hospital of Zhengzhou University from January to September 2019 were prospectively and consecutively enrolled. All included patients were classified according to TOAST classification of ischemic stroke. Chi-square test was used to compare the prevalence of atrial cardiomyopathy among patients with different TOAST classifications. Multivariate logistic regression model was used to analyze the related factors of cryptogenic stroke. Results: A total of 1 098 patients with acute ischemic stroke were enrolled in the study, including 661 males and 437 females, with a median age [M(Q1,Q3)] of 61 (53, 68) years. The prevalence of atrial cardiomyopathy in patients with cryptogenic stroke[53.5% (46/86)] was higher than that in patients with large artery atherosclerosis [38.0%(63/166), P=0.018] and small vessel occlusion [19.4%(37/191), P<0.001], but was lower than that of patients in the cardioembolic group [97.3% (72/74), P<0.001]. Multivariate logistic regression analysis showed that atrial cardiomyopathy was an associated factor for cryptogenic stroke (OR=2.945, 95%CI: 1.766-4.911, P<0.001). Conclusions: Atrial cardiomyopathy is associated with cryptogenic stroke. The prevalence of atrial cardiomyopathy in patients with cryptogenic stroke is higher than that in patients with large artery atherosclerosis and small vessel occlusion, but lower than that in patients with cardiac embolism.
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Affiliation(s)
- Y Y Wang
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X J Liu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - L L Pei
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - K Liu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - R Y Hu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X Wang
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - W X Sun
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - L Y Zhang
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J Liang
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y M Xu
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - B Song
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Liu YZ, Zhang LY, He D, Chen LZ, Xu ZS, Wang JL. Solubility measurement, correlation and thermodynamic properties of 2,3,4-trichloro-1,5-dinitrobenzene in fifteen mono-solvents at temperatures from 278.15 to 323.15 K. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2022.10.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2022]
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22
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Liu Y, Guo LW, Xu HF, Kang RH, Zheng LY, Zhang LY, Chen Q, Sun XB, Qiao YL, Zhang SK. Development and Validation of a Noninvasive Risk Score Model for Liver Cirrhosis in At-Risk Alcohol Drinkers Without HBV/HCV Infection. Cancer Prev Res (Phila) 2022; 15:767-776. [PMID: 36083859 DOI: 10.1158/1940-6207.capr-22-0234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 06/15/2022] [Accepted: 07/20/2022] [Indexed: 01/31/2023]
Abstract
At-risk alcohol consumption is the established most important risk factor for cirrhosis in people without HBV/HCV infection. We aimed to develop and validate a simple and non-invasive tool for triaging cirrhosis risk in at-risk alcohol drinkers without HBV/HCV infection. A large-sample size, cross-sectional study within the framework of a population-based Cancer Screening Program in Urban China (CanSPUC) was conducted. Data on the liver cancer screening in Henan province, China were used. At-risk alcohol drinkers were those who currently drink one or more alcohol units per week for at least six months. A total of 6,581 eligible participants enrolled from October 1, 2013 to December 31, 2016 were included into the derivation dataset, and 2,096 eligible participants enrolled from January 1, 2017 to October 31, 2018 were included into the external validation dataset, respectively. Using the derivation dataset, a 20-point scale risk score model was developed, based on sex, education background, dietary intake of vegetables, dietary intake of roughage, smoking index, length of secondhand smoke exposure, history of fatty liver, history of diabetes, and first-degree family history of liver cancer. The model showed excellent discrimination (AUC = 0.787; 95% CI, 0.7603-0.812) and calibration (Hosmer-Lemeshow test: P = 0.123) in the derivation dataset and an optimal cut-off value of 12 yield sensitivity of 61.3%, specificity of 82.7%. The model also had achieved similar performance in the external validation dataset. In conclusion, this model can be a practical tool to identify and triage population at high risk of cirrhosis in at-risk alcohol drinkers without HBV/HCV infection. PREVENTION RELEVANCE The risk model we developed will not only be used as a practical tool to triage high risk groups for liver cirrhosis, but also have implications for public health measures, such as guidelines for the prevention of liver cancer, in at-risk alcohol drinkers without HBV/HCV infection.
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Affiliation(s)
- Yin Liu
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Lan-Wei Guo
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Rui-Hua Kang
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Li-Yang Zheng
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Qiong Chen
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Xi-Bin Sun
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - You-Lin Qiao
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.,Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
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Lin YZ, Zhang LY, Chen F, Wei YY. [Specification of statistical graphics in medical research]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1666-1670. [PMID: 36456501 DOI: 10.3760/cma.j.cn112338-20220701-00584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Statistical graphics has a long history and is an important mean to present study design, analysis results and conclusions of medical research. A survey of statistical graphs of recent publications in Chinese and English academic journals shows that scientific and technical specifications of statistical graphics are still lacking. Based on the requirements of statistical graphics in prestigious medical journals (NEJM, Lancet, JAMA and The BMJ), this paper summarizes the technical requirements, key points of design of statistical graphs and practical conditions of common statistical graphs to provide reference for clinical researchers.
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Affiliation(s)
- Y Z Lin
- Biostatistics Department, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - L Y Zhang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - F Chen
- Biostatistics Department, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Y Wei
- Biostatistics Department, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Gao B, Jiao TY, Li YT, Chen H, Lin WP, An Z, Ru LH, Zhang ZC, Tang XD, Wang XY, Zhang NT, Fang X, Xie DH, Fan YH, Ma L, Zhang X, Bai F, Wang P, Fan YX, Liu G, Huang HX, Wu Q, Zhu YB, Chai JL, Li JQ, Sun LT, Wang S, Cai JW, Li YZ, Su J, Zhang H, Li ZH, Li YJ, Li ET, Chen C, Shen YP, Lian G, Guo B, Li XY, Zhang LY, He JJ, Sheng YD, Chen YJ, Wang LH, Zhang L, Cao FQ, Nan W, Nan WK, Li GX, Song N, Cui BQ, Chen LH, Ma RG, Zhang ZC, Yan SQ, Liao JH, Wang YB, Zeng S, Nan D, Fan QW, Qi NC, Sun WL, Guo XY, Zhang P, Chen YH, Zhou Y, Zhou JF, He JR, Shang CS, Li MC, Kubono S, Liu WP, deBoer RJ, Wiescher M, Pignatari M. Deep Underground Laboratory Measurement of ^{13}C(α,n)^{16}O in the Gamow Windows of the s and i Processes. Phys Rev Lett 2022; 129:132701. [PMID: 36206440 DOI: 10.1103/physrevlett.129.132701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 04/01/2022] [Accepted: 06/01/2022] [Indexed: 06/16/2023]
Abstract
The ^{13}C(α,n)^{16}O reaction is the main neutron source for the slow-neutron-capture process in asymptotic giant branch stars and for the intermediate process. Direct measurements at astrophysical energies in above-ground laboratories are hindered by the extremely small cross sections and vast cosmic-ray-induced background. We performed the first consistent direct measurement in the range of E_{c.m.}=0.24 to 1.9 MeV using the accelerators at the China Jinping Underground Laboratory and Sichuan University. Our measurement covers almost the entire intermediate process Gamow window in which the large uncertainty of the previous experiments has been reduced from 60% down to 15%, eliminates the large systematic uncertainty in the extrapolation arising from the inconsistency of existing datasets, and provides a more reliable reaction rate for the studies of the slow-neutron-capture and intermediate processes along with the first direct determination of the alpha strength for the near-threshold state.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - R J deBoer
- Center for Nuclear Study, University of Tokyo, Wako, Saitama 351-0198, Japan
| | - M Wiescher
- Center for Nuclear Study, University of Tokyo, Wako, Saitama 351-0198, Japan
- Wolfson Fellow of Royal Society, School of Physics and Astronomy, University of Edinburgh, King's Buildings, Edinburgh EH9 3FD, United Kingdom
| | - M Pignatari
- Konkoly Observatory, Research Centre for Astronomy and Earth Sciences (CSFK), Eötvös Loránd Research Network (ELKH), Konkoly Thege Miklós út 15-17, H-1121 Budapest, Hungary
- CSFK, MTA Centre of Excellence, Budapest, Konkoly Thege Miklós út 15-17, Budapest H-1121, Hungary
- E. A. Milne Centre for Astrophysics, Department of Physics and Mathematics, University of Hull, Hull, HU6 7RX, United Kingdom
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Zhu KL, Feng YH, Hu MY, Cui KX, Shang WW, Liu L, Wang JX, Wang ZG, Zhang LY, Cheng FM, Zhang J, Wang ZQ, Feng GW. [Analysis of prognostic factors of pediatric kidney transplantation]. Zhonghua Er Ke Za Zhi 2022; 60:888-893. [PMID: 36038297 DOI: 10.3760/cma.j.cn112140-20220330-00257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To evaluate the short-and mid-term efficacy of pediatric kidney transplantation and the risk factors for kidney graft and recipient. Methods: The baseline data and postoperative complications of pediatric donors and recipients of 284 kidney transplants were retrospectively analyzed in the Department of Kidney Transplantation in the First Affiliated Hospital of Zhengzhou University from August 2010 to May 2021 and all subjects were followed up until December 31, 2021. According to the survival status of donors and recipients, they were divided into the graft-loss group and the graft-survival group, and the recipient death group and survival group, respectively. Univariate comparison between groups was performed by Log-rank test, and Cox proportional risk model was used to explore the independent risk factors for the graft and recipient survival. Results: Among the 284 children recipients, 184 cases (64.8%) were male and 100 cases(35.2%) were female, and 19 cases (6.7%) were living relative donor renal transplantation, 19 cases (6.7%) were preemptive transplantation, and 8 cases were secondary transplantation. The age of 284 recipients at the time of transplantation was 13.0 (9.0, 15.0) years, among whom 29 cases aged 0-6 years, 96 cases aged 7-11 years old, and 159 cases aged 12-18 years. The 1, 3, and 5 year survival rates were 92.3%, 88.9% and 84.8% for the kidney grafts, and were 97.1%, 95.6% and 94.4% for the recipients, respectively. Multivariate analysis showed postoperative acute rejection (HR=3.14, 95%CI 1.38-7.15, P=0.006) and perioperative vascular complications (HR=4.73, 95%CI 2.03-11.06, P<0.001) were independent risk factors for the survival of kidney graft. Postoperative infection (HR=14.23, 95%CI 3.45-58.72, P<0.001) was an independent risk factor for the postoperative mortality of recipients. Conclusions: Pediatric kidney transplantation shows a good short-and mid-term prognosis. Postoperative acute rejection and perioperative vascular complications are the risk factors for the survival of kidney graft, and postoperative infection is the risk factor affecting the survival of recipient.
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Affiliation(s)
- K L Zhu
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - Y H Feng
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - M Y Hu
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - K X Cui
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - W W Shang
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - L Liu
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - J X Wang
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - Z G Wang
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - L Y Zhang
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - F M Cheng
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - J Zhang
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - Z Q Wang
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
| | - G W Feng
- Department of Kidney Transplantation, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China
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Wang XY, Liu SZ, Xu HF, Liu Y, Wang H, Kang RH, Chen Q, Zhang LY, Guo LW, Zheng LY, Liu CY, Wang YX, Jing YP, Qiao YL, Han BB, Zhang SK. A cluster randomized controlled trial to evaluate the efficacy of esophageal and gastric cancer screening in mortality reduction in a non-high-incidence area: methodology and initial results. Ann Transl Med 2022; 10:994. [PMID: 36267765 PMCID: PMC9577787 DOI: 10.21037/atm-22-4052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/09/2022] [Indexed: 12/05/2022]
Abstract
Background A cluster randomized controlled trial of endoscopy-based screening for esophageal cancer (EC) and gastric cancer (GC) was conducted to evaluate the efficacy and feasibility of this strategy in a non-high-incidence rural area of China. The trial design and baseline findings are presented here. Methods A total of 33 eligible villages in Luoshan County in Henan Province were assigned randomly to the intervention or control group in a 1:1 ratio by a computer-generated randomization list. Local residents aged 40 to 69 years were enrolled from the villages. Participants in the intervention group were risk-stratified with a questionnaire, and high-risk individuals were subsequently screened by endoscopy. The primary outcomes were EC and GC mortality. The secondary outcomes comprised the detection rate, stage distribution, and the treatment rate. In this study, baseline characteristics were assessed by a questionnaire. Multivariate logistic regression analysis was performed to explore factors associated with endoscopy compliance. Results Trial recruitment was completed in 2017, and ultimately, there were 12,475 and 11,442 participants allocated to the intervention (17 clusters) and the control group (16 clusters), respectively. We included 23,653 participants in the analysis, with 12,402 in the intervention group and 11,251 in the control group. A total of 6,286 (50.7%) participants in the intervention group were estimated as high-risk individuals, and 2,719 (43.3%) underwent endoscopy. Multivariate logistic regression analysis demonstrated that some factors including age, gender, education, personality and mental health, and upper gastrointestinal diseases or symptoms might affect endoscopy compliance. The detection rates for positive cases of EC and GC were 0.22% and 0.55%, respectively. The rates for esophageal and gastric precancerous lesions were 0.70% and 2.35%, respectively. The early detection rates for EC and GC were 50.0% and 33.3%, respectively. Additionally, the overall treatment rate for positive cases was 90.0%. Conclusions The diagnostic yield of endoscopy-based screening for EC and GC was relatively low in a non-high-incidence rural area. The study may offer clues for the improvement of endoscopy compliance and the optimization of screening strategies for upper gastrointestinal cancer in non-high-incidence areas. Trial Registration Chinese Clinical Trial Registry ChiCTR-EOR-16008577.
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Affiliation(s)
- Xiao-Yang Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Shu-Zheng Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Yin Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Hong Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Rui-Hua Kang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Qiong Chen
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Lan-Wei Guo
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Li-Yang Zheng
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Chun-Ya Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Yi-Xian Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Yi-Ping Jing
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - You-Lin Qiao
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Bin-Bin Han
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
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Liu Y, Chen Q, Guo LW, Xu HF, Wang XY, Kang RH, Zhang LY, Wang H, Han BB, Zhang SK. Incidence and mortality of lung cancer in 2018 and the temporal trends from 2010 to 2018 in Henan province, China: a population-based registry study. Ann Transl Med 2022; 10:1005. [PMID: 36267711 PMCID: PMC9577782 DOI: 10.21037/atm-22-4029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/02/2022] [Indexed: 11/06/2022]
Abstract
Background The disease burden of lung cancer is high in Henan province, China, it is out of the utmost significance to figure the current epidemic status and temporal trend of lung cancer for effective prevention and control. Methods The qualified data was obtained from the Henan Provincial Central Cancer Registry of China, covering 30.51% of the whole population. Incidence, mortality, proportions, and cumulative rates (among patients aged 0–74 years old) of lung cancer by areas, sex and age groups were estimated. The world Segi’s standard population was applied to calculate the age-standardized rate. Joinpoint regression was used to calculate annual percentage change (APC) and average annual percentage change (AAPC) to evaluate temporal trends from 2010 to 2018. Results In 2018, there were about 55,344 new cases of lung cancer in Henan province, with the crude incidence of 50.75/100,000, the age-standardized incidence rate by world standard (Segi’s) population (ASIRW) of 37.14/100,000, and the cumulative rate of 4.57%. About 41,782 people died from lung cancer in 2018, with the crude mortality rate of 38.31/100,000, the age-standardized mortality rate by world standard (Segi’s) population (ASMRW) of 27.09/100,000, and the cumulative rate of 3.22%. The age-specific incidence and mortality of lung cancer increased gradually as age increased and reached the peak at the age of 85+ years. The overall ASIRW (AAPC =0.3, P=0.531) and ASMRW (AAPC =−0.2, P=0.687) remained stable from 2010 to 2018, but decreased in urban areas from 2014 to 2018 (APC for ASIRW =−4.7, P=0.023; APC for ASMRW =−5.3, P=0.012). From 2010 to 2018, the incidence rate increased in the rural population aged 75+ years old (AAPC =4.2, P=0.023). Conclusions The incidence and mortality rates of lung cancer significantly decreased in urban areas partly due to the Cancer Screening Program in Urban China. Nonetheless, the disease burden remains high, especially in males and elderly population. Comprehensive prevention and control programs, such as smoking cessation intervention, screening, early diagnosis and early treatment programs, need to be implemented to reduce the burden of lung cancer.
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Affiliation(s)
- Yin Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Qiong Chen
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Lan-Wei Guo
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Xiao-Yang Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Rui-Hua Kang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Hong Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Bin-Bin Han
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
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Zhang JG, Xu HF, Chen Q, Zhang LY, Wang XY, Wang H, Liu Y, Liu SZ, Guo LW, Zheng LY, Wang YX, Jing YP, Liu CY, Qiao YL, Zhang SK, Han BB. Time-trend of the incidence and mortality of esophageal cancer from 2010 to 2018 and its statistics in 2018 in Henan, China. Ann Transl Med 2022; 10:899. [PMID: 36111000 PMCID: PMC9469116 DOI: 10.21037/atm-22-4027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 08/17/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Jian-Gong Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Qiong Chen
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Xiao-Yang Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Hong Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Yin Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Shu-Zheng Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Lan-Wei Guo
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Li-Yang Zheng
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Yi-Xian Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Yi-Ping Jing
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Chun-Ya Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - You-Lin Qiao
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Bin-Bin Han
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
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Zhang JG, Liu Y, Chen Q, Xu HF, Wang XY, Guo LW, Kang RH, Zhang LY, Wang H, Zhang SK. Incidence and mortality of colorectal cancer in 2017 and the time-trend from 2010 to 2017 in Henan province, China: a population-based registry study. Ann Transl Med 2022; 10:878. [PMID: 36110990 PMCID: PMC9469152 DOI: 10.21037/atm-22-3788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 08/09/2022] [Indexed: 11/06/2022]
Abstract
Background Henan province is an area with a serious disease burden of colorectal cancer (CRC) in China. Understanding the current incidence and mortality and the time-trend is critical to formulate and optimize prevention and control strategies for CRC. However, the current incidence and mortality and time-trend of CRC in Henan province, China have not been reported. Methods CRC data was got from the Henan Provincial Central Cancer Registry of China in which the data was submitted from local cancer registries. Combined with the census data, the incidence, mortality, proportion, age-standardized rate by Chinese population (ASRC), age-standardized rate by world population (ASRW), and cumulative incidence and mortality (0-74 years old) of CRC by urban and rural population, gender, and age groups were estimated. The average annual percentage change (AAPC) and its 95% confidence interval (CI) of ASRC from 2010 to 2017 were analyzed. Results In 2017, it was estimated that there were 20,275 new cases and 10,046 deaths of CRC in Henan province. The crude incidence was 18.73/100,000, with an age-standardized incidence rate by Chinese population (ASIRC) of 13.97/100,000 and age-standardized mortality rate by world population (ASIRW) of 13.78/100,000. The cumulative incidence was 1.66%. The mortality rate was 9.28/100,000, with an age-standardized mortality rate by Chinese population (ASMRC) of 6.49/100,000 and an age-standardized mortality rate by world population (ASMRW) of 6.45/100,000. The cumulative mortality rate was 0.69%. The ASIRC and ASMRC were higher in urban areas (15.89/100,000, 7.19/100,000) than in rural areas (13.13/100,000, 6.20/100,000), and higher in males (15.53/100,000, 7.44/100,000) than in females (12.48/100,000, 5.66/100,000). The age-specific incidence reached the peak at age of 80-84, and the age-specific mortality reached the peak at age 85. From 2010 to 2017, the overall ASIRC and ASMRC showed a steady trend (P>0.05), while an upward trend was observed in the mortality rate in urban males (AAPC =3.4, 95% CI: 0.2-6.7, P=0.040). Conclusions The incidence and mortality of CRC were high in Henan province, and higher in urban areas and males. It is critical to strengthen the prevention and control of CRC, carry out targeted intervention, and promote screening and early diagnosis and treatment, particularly among urban areas and males.
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Affiliation(s)
- Jian-Gong Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Yin Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Qiong Chen
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Xiao-Yang Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Lan-Wei Guo
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Rui-Hua Kang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Hong Wang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
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Liu J, Zhang LY, Wang HY, Liu N, Lian S, Xu XM, Li BH. The Effect of Temperature and Moisture on Colonization of Apple Fruit and Branches by Botryosphaeria dothidea. Phytopathology 2022; 112:1698-1709. [PMID: 35259315 DOI: 10.1094/phyto-11-21-0487-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Botryosphaeria dothidea causes severe disease of apple trees in China. The process of conidium germination, colonization, and infection of apple fruit and branches was examined on 'Fuji' apple and the effect of temperature, surface wetness and relative humidity (RH), and host surface washates on these processes was studied in controlled environments. Initial germ tube development and hyphal growth resulted in the colonization of the host surface without forming an infection structure. Hyphae expanded radially across the host surface and, after entering lenticels, developed into a dense mycelium mass or differentiated pseudoparenchyma. Hyphae from the bottom of the pseudoparenchyma either directly penetrated the lenticel surface intercellularly through the cell layer, or formed an undifferentiated hypha that invaded the lenticel through cracks formed during the lenticel development. Conidial germination and hyphal colonization occurred at 10 to 40°C, with an optimum of approximately 28°C. Conidial germination required an RH > 95% or surface wetness but, for hyphal colonization, an RH > 90% was sufficient. Conidia germinated and formed germ tubes within 1 h under optimum conditions. However, the pathogen required a longer period at RH > 90% or surface wetness for hyphae to colonize and form pseudoparenchyma or dense mycelia on the host surface. Hyphal colonization is a crucial stage for infection of apple tissues by B. dothidea.
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Affiliation(s)
- Jing Liu
- College of Plant Health and Medicine, Qingdao Agricultural University; Key Lab of Integrated Crop Pests Management of Shandong Province, Qingdao, Shandong 266109, P. R. China
| | - Lu-Yao Zhang
- College of Plant Health and Medicine, Qingdao Agricultural University; Key Lab of Integrated Crop Pests Management of Shandong Province, Qingdao, Shandong 266109, P. R. China
| | - Hua-Yu Wang
- College of Plant Health and Medicine, Qingdao Agricultural University; Key Lab of Integrated Crop Pests Management of Shandong Province, Qingdao, Shandong 266109, P. R. China
| | - Na Liu
- College of Plant Health and Medicine, Qingdao Agricultural University; Key Lab of Integrated Crop Pests Management of Shandong Province, Qingdao, Shandong 266109, P. R. China
| | - Sen Lian
- College of Plant Health and Medicine, Qingdao Agricultural University; Key Lab of Integrated Crop Pests Management of Shandong Province, Qingdao, Shandong 266109, P. R. China
| | - Xiang-Ming Xu
- NIAB EMR, East Malling, West Malling, Kent, ME19 6BJ, U.K
| | - Bao-Hua Li
- College of Plant Health and Medicine, Qingdao Agricultural University; Key Lab of Integrated Crop Pests Management of Shandong Province, Qingdao, Shandong 266109, P. R. China
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Su Y, Wang CH, Gao JF, Zhang FX, Lin JY, Zhang LY, Zhao Y. [Recommendations for diagnosis and treatment of psoriatic arthritis in China]. Zhonghua Nei Ke Za Zhi 2022; 61:883-892. [PMID: 35922212 DOI: 10.3760/cma.j.cn112138-20220103-00003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Psoriatic arthritis is a chronic systemic autoimmune disease, characterized by psoriasis skin lesions and inflammation of the spine and joint. It has complicated clinical manifestations and individual variations. Nearly half of the patients will have joints erosion in two years, which is crippling. The severity of the skin and joint disease frequently do not correlate with each other. Currently, the understanding of the disease is insufficient in China with the lack of standardized diagnosis and treatment. Therefore, researchers from the Chinese Rheumatology Association formulated this specification based on the diagnosis and management experience together with guidelines at home and abroad. The specification summarizes the present situation of domestic diagnosis and treatment, aiming to standardize the diagnosis process and treatment protocols of psoriatic arthritis. Furthermore, it can reduce misdiagnosis and missed diagnosis, as well as improve the prognosis.
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Affiliation(s)
- Y Su
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China
| | - C H Wang
- Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - J F Gao
- Department of Rheumatology and Immunology, Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - F X Zhang
- Department of Rheumatology and Clinical Immunology, Hebei Provincal People's Hospital, Shijiazhuang 050051, China
| | - J Y Lin
- Department of Rheumatology and Immunology, the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China
| | - L Y Zhang
- Department of Rheumatology and Immunology, Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - Yan Zhao
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Rheumatology and Clinial Immunology, Ministry of Education, Beijing 100730, China
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Zhou Z, Zhang LY, Yang J, Shang XK, Li J, Pan WZ, Jiang ZM, Fang ZF, Li F, Wu YJ, Song GY. [Preliminary evaluation on the efficacy of emergency transcatheter aortic valve replacement: a multicenter study]. Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50:698-704. [PMID: 35856227 DOI: 10.3760/cma.j.cn112148-20220601-00434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objectives: To explore the efficacy and safety of emergency transcatheter aortic valve replacement (TAVR). Methods: Data of patients who underwent emergency TAVR in eight centers, namely Fuwai Hospital, Wuhan Asia Heart Hospital, Xijing Hospital, Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Guangdong Provincial People's Hospital, Zhongshan Hospital Affiliated to Fudan University, the First Affiliated Hospital of Zhengzhou University, the Second Xiangya Hospital of Central South University, between May 2017 and December 2020 were retrospectively analyzed. The use of mechanical circulatory support system (MCS) and the results of laboratory tests (N-terminal B-type natriuretic peptide (NT-proBNP)) and echocardiography (mean aortic valve cross valve pressure difference and left ventricular ejection fraction) before and after operation were collected. The primary endpoint was all-cause death, and the secondary endpoints were stroke, major bleeding, major vascular complications, myocardial infarction, permanent pacemaker implantation, and acute renal injury. Device success was caculated, which refered to absence of procedural mortality and correct positioning of a single prosthetic heart valve into the proper anatomical location and intended performance of the prosthetic heart valve (mean aortic valve gradient<20 mmHg(1 mmHg=0.133 kPa) or peak velocity<3 m/s, with no moderate or severe prosthetic valve regurgitation). Kaplan-Meier survival curve was used to estimate the survival rate of patients during follow-up. Results: This study included 48 patients. The age was (72.5±8.1) years, and 34 patients were males (70.8%). Device success rate was 91.7% (44/48). The mean aortic valve transvalvular pressure was significantly decreased after operation ((12.3±6.4)mmHg vs. (60.2±23.8)mmHg, P<0.000 1). Left ventricular ejection fraction was significantly increased ((41.5±11.7)% vs. (31.0±11.3)%, P<0.000 1). NT-proBNP significantly decreased (3 492.0 (1 638.8, 7 165.5) ng/L vs. 12 418.5 (6 693.8, 35 000.0) ng/L, P<0.000 1). In-hospital all-cause mortality was 8.3% (4/48). During hospitalization, the rate of stroke was 2.1% (1/48), major bleeding was 6.3% (3/48), major vascular complications was 10.4% (5/48), myocardial infarction was 4.2% (2/48), permanent pacemaker implantation was 6.3% (3/48), and the rate of acute renal injury was 12.5% (6/48). MCS was used in 20 patients (41.7%). The median follow-up time was 196 days. During the follow-up, one patient died (due to systemic metastasis of pancreatic cancer), two cases suffered new myocardial infarction and one case received permanent pacemaker implantation. The survival rate of 30 days, 1 year and 2 years after the operation were 91.7% (44/48), 89.6% (43/48), 89.6% (43/48), respectively. Conclusion: Emergency TAVR may be a safe and effective treatment for patients with severe decompensated aortic valve stenosis.
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Affiliation(s)
- Z Zhou
- Division of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - L Y Zhang
- Division of Cardiology, Wuhan Asia Heart Hospital, Wuhan 430022, China
| | - J Yang
- Department of Cardiac Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - X K Shang
- Department of Cardiac Surgery, Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430022, China
| | - J Li
- Division of Cardiology, Guangdong Provincial People's Hospital, Guangzhou 510000, China
| | - W Z Pan
- Division of Cardiology, Zhongshan Hospital Affiliated to Fudan University, Shanghai 200032, China
| | - Z M Jiang
- Division of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Z F Fang
- Division of Cardiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - F Li
- Division of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Y J Wu
- Division of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - G Y Song
- Division of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
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Qiao Q, Chen GG, Zhang LY, Zhou Y, Li H, Huangfu H. [Design and verification of the screening questionnaire for benign paroxysmal positional vertigo]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:677-682. [PMID: 35725309 DOI: 10.3760/cma.j.cn15330-20210716-00462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To design and validate a high-quality rapid screening questionnaire based on the common medical history and clinical experience of benign paroxysmal positional vertigo (BPPV). Methods: A questionnaire was designed based on expert's opinions, and the first-time patients who complained of dizziness and vertigo in the vertigo clinic of the First Hospital of Shanxi Medical University from September 2020 to June 2021 were prospectively screened. Taking the displacement test as the gold standard, the reliability and validity of the questionnaire were tested to evaluate its authenticity, reliability and benefit value. This study was divided into three steps. The first step was to conduct a pre-experiment and to adjust the questionnaire items; the second step was to determine the questionnaire items and the best cut-off value; the third step was to screen patients with the best cut-off value and to evaluate the quality of the questionnaire. Results: Seven items were finalized. The Cronbach's coefficient of the questionnaire was 0.675, the content validity was 0.85, the KMO value of the construct validity was 0.648, and there were 4 factors with characteristic root>1, and the cumulative contribution rate was 76.309%. The area under the receiver operating characteristic curve (ROC) was 0.938, and its optimal cut-off value was 4.5 points. At this point, the sensitivity was 88.89% and the specificity was 85.44%. Conclusion: The BPPV rapid screening questionnaire has high sensitivity and specificity, which can be used for clinical screening of BPPV patients.
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Affiliation(s)
- Q Qiao
- School of Nursing, Shanxi Medical University, Taiyuan 030001, China Department of Otorhinolaryngology Head and Neck Surgery, the First Hospital of Shanxi Medical University; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer; Key Institute and Laboratory of Otolaryngology Affiliated with Shanxi Province, Taiyuan 030001, China
| | - G G Chen
- Department of Otorhinolaryngology Head and Neck Surgery, the First Hospital of Shanxi Medical University; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer; Key Institute and Laboratory of Otolaryngology Affiliated with Shanxi Province, Taiyuan 030001, China
| | - L Y Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, the First Hospital of Shanxi Medical University; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer; Key Institute and Laboratory of Otolaryngology Affiliated with Shanxi Province, Taiyuan 030001, China
| | - Y Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, the First Hospital of Shanxi Medical University; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer; Key Institute and Laboratory of Otolaryngology Affiliated with Shanxi Province, Taiyuan 030001, China
| | - H Li
- Department of Otorhinolaryngology Head and Neck Surgery, the First Hospital of Shanxi Medical University; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer; Key Institute and Laboratory of Otolaryngology Affiliated with Shanxi Province, Taiyuan 030001, China
| | - Hui Huangfu
- Department of Otorhinolaryngology Head and Neck Surgery, the First Hospital of Shanxi Medical University; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer; Key Institute and Laboratory of Otolaryngology Affiliated with Shanxi Province, Taiyuan 030001, China
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Si Y, Xiong Y, Zhang LN, Li XH, Feng SP, Liang YS, Zhang LY. [Otologic disorders and management strategies in Turner syndrome]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:595-601. [PMID: 35610679 DOI: 10.3760/cma.j.cn115330-20210723-00481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To analyze the incidence and risk factors of otologic disorders in patients with Turner syndrome (TS), so as to provide management strategies for ear health. Methods: This study is a prospective study based on questionnaires and a cross-sectional study. The TS patients who visited our hospital from 2010 January to 2021 March were included (A total of 71 patients with TS were included in this study. the age of TS diagnosed was 3- to 11-year-old, age of visiting ENT department was 4- to 27-year-old) and the incidence of otologic diseases in different age groups was investigated by questionnaires. The cross-sectional study included ear morphology and auditory function assessment, and further analysis of the risk factors that related to ear disease. Prism was used for data analysis. Results: The investigation found that the incidence of acute otitis media in patients aged 3-6 and 7-12 years was higher than that of patients over 12 years old, which was 33.8%(24/71), 42.9%(30/70)and 23.5%(8/34), respectively; 21.1% (15/71) of patients were recurrent acute otitis media in patients aged 3-6 years, and about 46.6% (7/15)of them persisted beyond 6-year. The prevalence of otitis media with effusion in the three groups was 32.4%(23/71), 34.3%(24/70)and 38.2%(13/34), respectively; the recurrence rate of tympanocentesis was 100%(7/7), 42.9%(3/7)and 50.0%(1/2), which was significantly higher than that of grommet insertion. For age groups of 3-6 and 7-12 years, the prevalence of acute otitis media and secretory otitis media was lower in the X chromosome structure abnormal patients; while for patients older than 12 years, otitis media with effusion was the highest prevalence in Y-chromosome-containing karyotypes. In addition, the prevalence of acute otitis media and otitis media with effusion in patients with other system diseases were increased significantly. A cross-sectional study found that 7.0% (5/71)of the lower auricular, 4.2% (3/71)of the external auditory canal narrow, and 38.0% (27/71)of the tympanic membrane abnormality. 35.2%(25/71) had abnormal hearing, including 17 cases of conductive deafness, 6 cases of sensorineural hearing loss, and 2 cases of mixed deafness. The rest of the patients had normal hearing, but 6 of them had abnormalities in otoacoustic emission. Eustachian tube function assessment found that the eustachian tube dysfunction accounted for 38%(27/71). Hearing loss and abnormal Eustachian tube function were not significantly related to karyotype(Chi-square 2.83 and 2.84,P value 0.418 and 0.417), but significantly related to other system diseases(Chi-square 13.43 and 7.53,P value<0.001). Conclusions: The incidence of TS-related otitis media and auditory dysfunction is significantly higher than that of the general population. It not only occurs in preschool girls, but also persists or develops after school age. Accompanied by other system diseases are risk factors for ear diseases. Clinicians should raise their awareness of TS-related ear diseases and incorporate ear health monitoring into routine diagnosis and treatment.
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Affiliation(s)
- Y Si
- Department of Otorhinolaryngology Head and Neck Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou 510120, China
| | - Y Xiong
- Department of Otorhinolaryngology Head and Neck Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou 510120, China
| | - L N Zhang
- Department of Pediatrics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
| | - X H Li
- Department of Otorhinolaryngology Head and Neck Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou 510120, China
| | - S P Feng
- Department of Otorhinolaryngology Head and Neck Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou 510120, China
| | - Y S Liang
- Department of Otorhinolaryngology Head and Neck Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou 510120, China
| | - L Y Zhang
- Department of Pediatrics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
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Guo LW, Lyu ZY, Meng QC, Zheng LY, Chen Q, Liu Y, Xu HF, Kang RH, Zhang LY, Cao XQ, Liu SZ, Sun XB, Zhang JG, Zhang SK. Corrigendum: Construction and Validation of a Lung Cancer Risk Prediction Model for Non-Smokers in China. Front Oncol 2022; 12:871848. [PMID: 35311146 PMCID: PMC8928720 DOI: 10.3389/fonc.2022.871848] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 02/09/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Lan-Wei Guo
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Zhang-Yan Lyu
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy of the Ministry of Education, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Qing-Cheng Meng
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Li-Yang Zheng
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Qiong Chen
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Yin Liu
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Rui-Hua Kang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Xiao-Qin Cao
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Shu-Zheng Liu
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Xi-Bin Sun
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Jian-Gong Zhang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
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Zhang LY, Shen ZX, Guo L. Inhibiting L1CAM Reverses Cisplatin Resistance of Triple Negative Breast Cancer Cells by Blocking AKT Signaling Pathway. Cancer Invest 2022; 40:313-324. [PMID: 35040385 DOI: 10.1080/07357907.2021.2016801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
DDP-resistant MDA-MB-231 cells (MDA-MB-231/DDP) cells had higher expression of L1CAM than their parental cells. L1CAM siRNA decreased the IC50 of MDA-MB-231/DDP cells to DDP. L1CAM inhibition down-regulated p-AKT/AKT in MDA-MB-231/DDP cells; meanwhile, it could promote MDA-MB-231/DDP cell apoptosis, inhibit cell EMT, invasion, and migration. Moreover, SC79 (an AKT activator) increased the DDP-resistance of MDA-MB-231/DDP cells, which was reversed by L1CAM inhibition. Furthermore, co-treatment of L1CAM shRNA and cisplatin injection had better anti-tumor effects in vivo than these two single treatments with decreased p-AKT/AKT. Thus, silencing L1CAM reversed the DDP resistance by inhibiting the AKT pathway.
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Affiliation(s)
- Lu-Yao Zhang
- Department of Breast and Thyroid Surgery, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
| | - Zhi-Xin Shen
- Department of Breast and Thyroid Surgery, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
| | - Lu Guo
- Department of Oncology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
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Guo LW, Lyu ZY, Meng QC, Zheng LY, Chen Q, Liu Y, Xu HF, Kang RH, Zhang LY, Cao XQ, Liu SZ, Sun XB, Zhang JG, Zhang SK. Construction and Validation of a Lung Cancer Risk Prediction Model for Non-Smokers in China. Front Oncol 2022; 11:766939. [PMID: 35059311 PMCID: PMC8764453 DOI: 10.3389/fonc.2021.766939] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 12/13/2021] [Indexed: 11/13/2022] Open
Abstract
Background About 15% of lung cancers in men and 53% in women are not attributable to smoking worldwide. The aim was to develop and validate a simple and non-invasive model which could assess and stratify lung cancer risk in non-smokers in China. Methods A large-sample size, population-based study was conducted under the framework of the Cancer Screening Program in Urban China (CanSPUC). Data on the lung cancer screening in Henan province, China, from October 2013 to October 2019 were used and randomly divided into the training and validation sets. Related risk factors were identified through multivariable Cox regression analysis, followed by establishment of risk prediction nomogram. Discrimination [area under the curve (AUC)] and calibration were further performed to assess the validation of risk prediction nomogram in the training set, and then validated by the validation set. Results A total of 214,764 eligible subjects were included, with a mean age of 55.19 years. Subjects were randomly divided into the training (107,382) and validation (107,382) sets. Elder age, being male, a low education level, family history of lung cancer, history of tuberculosis, and without a history of hyperlipidemia were the independent risk factors for lung cancer. Using these six variables, we plotted 1-year, 3-year, and 5-year lung cancer risk prediction nomogram. The AUC was 0.753, 0.752, and 0.755 for the 1-, 3- and 5-year lung cancer risk in the training set, respectively. In the validation set, the model showed a moderate predictive discrimination, with the AUC was 0.668, 0.678, and 0.685 for the 1-, 3- and 5-year lung cancer risk. Conclusions We developed and validated a simple and non-invasive lung cancer risk model in non-smokers. This model can be applied to identify and triage patients at high risk for developing lung cancers in non-smokers.
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Affiliation(s)
- Lan-Wei Guo
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhang-Yan Lyu
- Department of Cancer Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy of the Ministry of Education, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Qing-Cheng Meng
- Department of Radiology, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Li-Yang Zheng
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Qiong Chen
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Yin Liu
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Rui-Hua Kang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiao-Qin Cao
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Shu-Zheng Liu
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Xi-Bin Sun
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Jian-Gong Zhang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Shao-Kai Zhang,
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Liu T, Xu HR, Wang CX, Cao HY, Li M, Yao XW, Yu HY, Zhang LY, Liu GX, Liu C, Hao DD, Liu FY. [Network pharmacological analysis and experimental study of Pulsatilla chinensis against inflammatory injury caused by pneumonia in mice infected with influenza virus FM_1]. Zhongguo Zhong Yao Za Zhi 2021; 46:5867-5876. [PMID: 34951177 DOI: 10.19540/j.cnki.cjcmm.20210824.702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Network pharmacology and the mouse model of viral pneumonia caused by influenza virus FM_1 were employed to explore the main active components and the mechanism of Pulsatilla chinensis against the inflammatory injury of influenza virus-induced pneumonia. The components and targets of P. chinensis were searched from TCMSP, and the targets associated with influenza virus-induced pneumonia were searched from GeneCards. The common targets between P. chinensis and influenza virus-induced pneumonia were identified with Venn diagram established in Venny 2.1. The herb-component-disease-target(H-C-D-T) network was constructed by Cytoscape 3.7.2. The above data were imported into STRING for PPI network analysis. Gene Ontology(GO) enrichment and KEGG pathway enrichment were performed with DAVID. BALB/cAnN mice were infected with the influenza virus FM_1 by nasal drip to gene-rate the mouse model of pneumonia. Immunohistochemistry was adopted to the expression profiling of inflammatory cytokines in the lung tissues of mice in the blank group, model group, and P. chinensis group 1, 3, 5, and 7 days after infection. The pathological changes of lung and trachea of mice in blank group, model group, and P. chinensis group were observed with light microscope and scanning electron microscope at all the time points. The network pharmacological analysis indicated that 9 compounds of P. chinensis were screened out, with a total of 57 targets, 22 of which were overlapped with those of influenza virus-induced pneumonia. A total of 112 GO terms(P<0.05) were enriched, including 81 terms of biological processes, 11 terms of cell components, and 20 terms of molecular functions. A total of 53 KEGG signaling pathways(P<0.05) were enriched, including TNF signaling pathway, influenza A signaling pathway, NF-κB signaling pathway, MAPK signaling pathway and other signaling pathways related to influenza/inflammation. In the P. chinensis group, the expression of TNF-α and IL-1 in the lung tissue was down-regulated on the 3 rd day after infection, and that of IL-6 in the lung tissue was down-regulated on the 5 th day after infection. Light microscopy and scanning electron microscopy showed that P. chinensis significantly alleviated the pathological damage of lung and trachea compared with the model group. This study reflects the multi-components, multi-targets, and multi-pathways of P. chinensis against influenza virus-induced pneumonia. P. chinensis may reduce the production of proinflammatory cytokines and mediators and block the pro-inflammatory signaling pathways to alleviate viral pneumonia, which provides reference for future research.
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Affiliation(s)
- Tong Liu
- Beijing University of Chinese Medicine Beijing 100029,China Department of Emergency and Intensive Care Unit,the Third Affiliated Hospital of Beijing University of Chinese Medicine Beijing 100029,China
| | - Hong-Ri Xu
- Department of Emergency and Intensive Care Unit,the Third Affiliated Hospital of Beijing University of Chinese Medicine Beijing 100029,China Institute of Sepsis,Beijing University of Chinese Medicine Beijing 100029,China
| | - Cheng-Xiang Wang
- Institute of Sepsis,Beijing University of Chinese Medicine Beijing 100029,China Department of Respiratory Medicine,the Third Affiliated Hospital of Beijing University of Chinese Medicine Beijing 100029,China
| | - Hong-Yun Cao
- Department of Emergency and Intensive Care Unit,the Third Affiliated Hospital of Beijing University of Chinese Medicine Beijing 100029,China
| | - Meng Li
- Department of Respiratory Medicine,Shaanxi Provincial Hospital of Chinese Medicine Xi'an 710003,China
| | - Xing-Wei Yao
- Clinical Laboratory,Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine Beijing 100700,China
| | - Hui-Yong Yu
- Department of Respiratory Medicine,the Third Affiliated Hospital of Beijing University of Chinese Medicine Beijing 100029,China
| | - Lu-Yao Zhang
- Department of Emergency and Intensive Care Unit,the Third Affiliated Hospital of Beijing University of Chinese Medicine Beijing 100029,China
| | - Guo-Xing Liu
- Department of Respiratory Medicine,the Third Affiliated Hospital of Beijing University of Chinese Medicine Beijing 100029,China
| | - Chang Liu
- Department of Respiratory Medicine,the Third Affiliated Hospital of Beijing University of Chinese Medicine Beijing 100029,China
| | - Dan-Dan Hao
- Beijing University of Chinese Medicine Beijing 100029,China
| | - Feng-Yi Liu
- Beijing University of Chinese Medicine Beijing 100029,China
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Li H, Wei FY, Deng CQ, Zhang L, Zhu XY, Zhang LY, Wu BJ, Bai JJ, Ding LH. [Low-dose argatroban emerging salvage therapies for heparin-induced thrombocytopenia during artificial liver treatment: a case report]. Zhonghua Gan Zang Bing Za Zhi 2021; 29:1198-1200. [PMID: 35045638 DOI: 10.3760/cma.j.cn501113-20201215-00655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- H Li
- Department of Infectious Diseases, First Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - F Y Wei
- Department of Infectious Diseases, First Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - C Q Deng
- Department of Infectious Diseases, First Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - L Zhang
- Department of Infectious Diseases, First Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - X Y Zhu
- Department of Infectious Diseases, First Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - L Y Zhang
- Department of Infectious Diseases, First Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - B J Wu
- Department of Infectious Diseases, First Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - J J Bai
- Department of Infectious Diseases, First Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - L H Ding
- Department of Infectious Diseases, First Hospital, Shanxi Medical University, Taiyuan, 030001, China
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Wu SR, Liu J, Zhang LF, Wang N, Zhang LY, Wu Q, Liu JY, Shi YQ. Lamb’s tripe extract and vitamin B 12 capsule plus celecoxib reverses intestinal metaplasia and atrophy: A retrospective cohort study. World J Clin Cases 2021; 9:10472-10483. [PMID: 35004979 PMCID: PMC8686147 DOI: 10.12998/wjcc.v9.i34.10472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 08/31/2021] [Accepted: 10/25/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Chronic atrophic gastritis (AG) with intestinal metaplasia (IM) significantly increases the risk of gastric cancer. Some medicines have showed definite therapeutic effects in AG and IM regression.
AIM To validate the efficacy of Lamb’s tripe extract and vitamin B12 capsule (LTEVB12) initial therapy and celecoxib rescue therapy for IM and AG.
METHODS A total of 255 patients were included to receive LTEVB12 initial therapy (2 capsules each time, three times daily for 6 mo) in hospital in this study. The patients with failure of IM regression continued to receive celecoxib rescue therapy (200 mg, once daily for 6 mo). After each therapy finished, the patients underwent endoscopy and biopsy examination. The regression efficiency was assessed by the operative link on gastritis assessment (OLGA) and the operative link on the gastric intestinal metaplasia assessment (OLGIM) staging system. Logistic regression analysis was applied to identify factors associated with the curative effect.
RESULTS For LTEVB12 initial therapy, the reversal rates of IM and AG were 52.95% and 48.24%, respectively. Analogously, for celecoxib rescue therapy, the effective rates for IM and AG were 56.25% and 51.56%, respectively. The IM regression rate of complete therapy was up to 85.03%. In different OLGA and OLGIM stages of IM patients, therapeutic efficiency showed a significant difference in each group (P < 0.05). For both therapies, patients with high stages (III or IV) of both the OLGA and OLGIM evaluation systems showed a higher IM or AG regression rate than those with low stages (I or II). Among patients with high stages (OLGIM III and IV), the IM regression rate was above 70% for each therapy. Eating habits, fresh vegetable intake, and high-salt diet were identified as independent factors for the IM reversal effect of LTEVB12 therapy, especially high-salt diet (odds ratio = 1.852, P < 0.05).
CONCLUSION Monotherapy could reverse IM and AG. LTEVB12 initial therapy and celecoxib rescue therapy significantly increase the regression effect. IM may not be the point of no return among gastric precancerous lesions.
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Affiliation(s)
- Si-Ran Wu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Air Force Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Jie Liu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Air Force Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Li-Feng Zhang
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Air Force Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Na Wang
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Air Force Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Lu-Yao Zhang
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Air Force Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Qiong Wu
- Department of Clinical Nutrition, Xijing Hospital, Air Force Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Jun-Ye Liu
- Department of Radiation Protective Medicine, Air Force Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Yong-Quan Shi
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital, Air Force Military Medical University, Xi'an 710032, Shaanxi Province, China
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Guo LW, Lyu ZY, Meng QC, Zheng LY, Chen Q, Liu Y, Xu HF, Kang RH, Zhang LY, Cao XQ, Liu SZ, Sun XB, Zhang JG, Zhang SK. A risk prediction model for selecting high-risk population for computed tomography lung cancer screening in China. Lung Cancer 2021; 163:27-34. [PMID: 34894456 DOI: 10.1016/j.lungcan.2021.11.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/18/2021] [Accepted: 11/22/2021] [Indexed: 01/22/2023]
Abstract
OBJECTIVE Two large randomized controlled trials (RCTs) have demonstrated that low dose computed tomography (LDCT) screening reduces lung cancer mortality. Risk-prediction models have been proved to select individuals for lung cancer screening effectively. With the focus on established risk factors for lung cancer routinely available in general cancer screening settings, we aimed to develop and internally validated a risk prediction model for lung cancer. MATERIALS AND METHODS Using data from the Cancer Screening Program in Urban China (CanSPUC) in Henan province, China between 2013 and 2019, we conducted a prospective cohort study consisting of 282,254 participants including 126,445 males and 155,809 females. Detailed questionnaire, physical assessment and follow-up were completed for all participants. Using Cox proportional risk regression analysis, we developed the Henan Lung Cancer Risk Models based on simplified questionnaire. Model discrimination was evaluated by concordance statistics (C-statistics), and model calibration was evaluated by the bootstrap sampling, respectively. RESULTS By 2020, a total of 589 lung cancer cases occurred in the follow-up yielding an incident density of 64.91/100,000 person-years (pyrs). Age, gender, smoking, history of tuberculosis and history of emphysema were included into the model. The C-index of the model for 1-year lung cancer risk was 0.766 and 0.741 in the training set and validation set, respectively. In stratified analysis, the model showed better predictive power in males, younger participants, and former or current smoking participants. The model calibrated well across the deciles of predicted risk in both the overall population and all subgroups. CONCLUSIONS We developed and internally validated a simple risk prediction model for lung cancer, which may be useful to identify high-risk individuals for more intensive screening for cancer prevention.
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Affiliation(s)
- Lan-Wei Guo
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Zhang-Yan Lyu
- Department of Cancer Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy of the Ministry of Education, Tianjin, China
| | - Qing-Cheng Meng
- Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Li-Yang Zheng
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Qiong Chen
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Yin Liu
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Rui-Hua Kang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Xiao-Qin Cao
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Shu-Zheng Liu
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Xi-Bin Sun
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Jian-Gong Zhang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China.
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Li J, Wang L, Zhang LY. [Clinical characteristics analysis of a case of sitosterolemia due to mutation of ABCG5 gene in a child with thrombocytopenia and abnormal liver function]. Zhonghua Gan Zang Bing Za Zhi 2021; 29:1111-1114. [PMID: 34933433 DOI: 10.3760/cma.j.cn501113-20200108-00009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- J Li
- Department of Hepatology, Second Hospital of Lanzhou University, Lanzhou 730030, China
| | - L Wang
- Department of Hepatology, Second Hospital of Lanzhou University, Lanzhou 730030, China
| | - L Y Zhang
- Department of Hepatology, Second Hospital of Lanzhou University, Lanzhou 730030, China
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43
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Zhang LY, Dong SJ, Yu HJ, Chu YJ. Ventricular tachycardia originating from the His bundle: A case report. World J Clin Cases 2021; 9:10040-10045. [PMID: 34877348 PMCID: PMC8610906 DOI: 10.12998/wjcc.v9.i32.10040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 08/16/2021] [Accepted: 09/19/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Ventricular tachycardia (VT) commonly occurs among patients with heart failure and can even cause sudden cardiac death. VT originating from the His bundle branch has been rarely reported. We present the case of a patient with VT from the His bundle branch.
CASE SUMMARY A 58-year-old female complained of paroxysmal palpitations and dizziness for approximately 6 mo. She had a history of fatty liver and cholecystitis, and carotid atherosclerosis could not be excluded from the ultrasound results. An evaluation of the electrocardiogram obtained after admission showed spontaneous conversion between two different morphologies. The possible electrophysiologic mechanism suggested that the dual-source VT originated from the same source, the His bundle branch. Finally, the His bundle branch was ablated, and a dual-chamber pacemaker was inserted into the patient’s heart. No further VT occurred during the 3-year follow-up after hospital discharge.
CONCLUSION The diagnosis of VT originating from the His bundle is rare and difficult to establish. The results of this study showed VT originating from the His bundle based on a careful evaluation of the electrocardiogram, and the diagnosis was confirmed by an intracardiac electrophysiologic examination.
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Affiliation(s)
- Lu-Yao Zhang
- Department of Cardiology, Zhengzhou University People’s Hospital, Zhengzhou 450003, Henan Province, China
| | - Shu-Juan Dong
- Department of Cardiology, Zhengzhou University People’s Hospital, Zhengzhou 450003, Henan Province, China
| | - Hai-Jia Yu
- Department of Emergency, Zhengzhou University People’s Hospital, Zhengzhou 450003, Henan Province, China
| | - Ying-Jie Chu
- Department of Cardiology, Zhengzhou University People’s Hospital, Zhengzhou 450003, Henan Province, China
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44
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Zhao W, Zhang LY, Wang BM. [The role and mechanism of interstitial cells of Cajal in the pathogenesis of achalasia]. Zhonghua Nei Ke Za Zhi 2021; 60:1010-1012. [PMID: 34689526 DOI: 10.3760/cma.j.cn112138-20210205-00102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- W Zhao
- Department of Gastroenterology, General Hospital of Tianjin Medical University, Tianjin 300052, China
| | - L Y Zhang
- Department of Gastroenterology, General Hospital of Tianjin Medical University, Tianjin 300052, China
| | - B M Wang
- Department of Gastroenterology, General Hospital of Tianjin Medical University, Tianjin 300052, China
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45
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Liu Y, Guo L, Xu HF, Kang RH, Zheng LY, Zhang LY, Chen Q, Sun XB, Zhang SK, Qiao YL. Risk of liver cirrhosis in HBV/HCV-infected individuals with first-degree relatives who have liver cancer: development and validation of a simple model. Cancer Prev Res (Phila) 2021; 15:111-120. [PMID: 34675066 DOI: 10.1158/1940-6207.capr-21-0220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/23/2021] [Accepted: 10/13/2021] [Indexed: 11/16/2022]
Abstract
Identification of high-risk population among HBV/HCV-infected individuals with first-degree relatives (FDRs) who have liver cancer is important to implement precise intervention. A cross-sectional study was conducted under the framework of a population-based Cancer Screening Program in Urban China (CanSPUC), aimed to develop and validate a simple non-invasive model that could assess and stratify cirrhosis risk, in HBV/HCV-infected individuals with FDRs who have liver cancer. People who participated in liver cancer screening in Henan province were enrolled. Using the dataset consisting of participants admitted from October 1,2013 to December 31, 2016, a 24-point scale risk score model was developed through logistic regression, based on education background, dietary habit, smoking index, cooking oil fume exposure, history of severe trauma, HBV/HCV infection status, history of diabetes, history of hyperlipidaemia, and parent history of liver cancer. The model showed excellent discrimination with AUROC of 0.875 (95%CI: 0.853-0.896) and fair calibration with a Hosmer-Lemeshow test P=0.106. The prevalence rates in the medium- and high-risk groups were 2.87 (95%CI: 1.94-4.25) and 47.57 (95%CI: 31.59-71.63) times of low-risk group, respectively. After internal validation, bias-corrected AUROC was 0.874 (95%CI: 0.873-0.875). In the external validation dataset consisting of participants admitted from January 1,2017 to October 31, 2018, the model had achieved similar discrimination, calibration and risk stratification ability. In conclusion, this risk score model we developed can be a practical tool for the screening and prevention of liver cirrhosis among HBV/HCV-infected individuals with FDRs who have liver cancer.
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Affiliation(s)
- Yin Liu
- Department of Cancer Epidemiology, Henan Cancer Hospital
| | - Lanwei Guo
- Department of Cancer Epidemiology and Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital
| | - Hui-Fang Xu
- Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking, Union Medical College
| | - Rui-Hua Kang
- Department of Cancer Epidemiology and Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital
| | - Li-Yang Zheng
- Department of Cancer Epidemiology, Henan Cancer Hospital
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology, Henan Cancer Hospital
| | - Qiong Chen
- Office for Cancer Control and Prevention, Henan Province Cancer Hospital
| | - Xi Bin Sun
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology, Henan Cancer Hospital
| | - You-Lin Qiao
- Center for Global Health, Chinese Academy of Medical Sciences and Peking Union Medical College
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Zhang LY, Su J, He JJ, Wiescher M, deBoer RJ, Kahl D, Chen YJ, Li XY, Wang JG, Zhang L, Cao FQ, Zhang H, Zhang ZC, Jiao TY, Sheng YD, Wang LH, Song LY, Jiang XZ, Li ZM, Li ET, Wang S, Lian G, Li ZH, Tang XD, Zhao HW, Sun LT, Wu Q, Li JQ, Cui BQ, Chen LH, Ma RG, Guo B, Xu SW, Li JY, Qi NC, Sun WL, Guo XY, Zhang P, Chen YH, Zhou Y, Zhou JF, He JR, Shang CS, Li MC, Zhou XH, Zhang YH, Zhang FS, Hu ZG, Xu HS, Chen JP, Liu WP. Direct Measurement of the Astrophysical ^{19}F(p,αγ)^{16}O Reaction in the Deepest Operational Underground Laboratory. Phys Rev Lett 2021; 127:152702. [PMID: 34678013 DOI: 10.1103/physrevlett.127.152702] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 08/01/2021] [Accepted: 08/24/2021] [Indexed: 06/13/2023]
Abstract
Fluorine is one of the most interesting elements in nuclear astrophysics, where the ^{19}F(p,α)^{16}O reaction is of crucial importance for Galactic ^{19}F abundances and CNO cycle loss in first generation Population III stars. As a day-one campaign at the Jinping Underground Nuclear Astrophysics experimental facility, we report direct measurements of the essential ^{19}F(p,αγ)^{16}O reaction channel. The γ-ray yields were measured over E_{c.m.}=72.4-344 keV, covering the Gamow window; our energy of 72.4 keV is unprecedentedly low, reported here for the first time. The experiment was performed under the extremely low cosmic-ray-induced background environment of the China JinPing Underground Laboratory, one of the deepest underground laboratories in the world. The present low-energy S factors deviate significantly from previous theoretical predictions, and the uncertainties are significantly reduced. The thermonuclear ^{19}F(p,αγ)^{16}O reaction rate has been determined directly at the relevant astrophysical energies.
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Affiliation(s)
- L Y Zhang
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - J Su
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - J J He
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - M Wiescher
- Department of Physics and The Joint Institute for Nuclear Astrophysics, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - R J deBoer
- Department of Physics and The Joint Institute for Nuclear Astrophysics, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - D Kahl
- Extreme Light Infrastructure-Nuclear Physics, Horia Hulubei National Institute for Research and Development in Physics and Nuclear Engineering (IFIN-HH), Bucharest-Măgurele 077125, Romania
| | - Y J Chen
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - X Y Li
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - J G Wang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - L Zhang
- China Institute of Atomic Energy, Beijing 102413, China
| | - F Q Cao
- China Institute of Atomic Energy, Beijing 102413, China
| | - H Zhang
- China Institute of Atomic Energy, Beijing 102413, China
| | - Z C Zhang
- College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - T Y Jiao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y D Sheng
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - L H Wang
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - L Y Song
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - X Z Jiang
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Z M Li
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - E T Li
- College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - S Wang
- Shandong Provincial Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, Institute of Space Sciences, Shandong University, Weihai 264209, China
| | - G Lian
- China Institute of Atomic Energy, Beijing 102413, China
| | - Z H Li
- China Institute of Atomic Energy, Beijing 102413, China
| | - X D Tang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - H W Zhao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - L T Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Q Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J Q Li
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - B Q Cui
- China Institute of Atomic Energy, Beijing 102413, China
| | - L H Chen
- China Institute of Atomic Energy, Beijing 102413, China
| | - R G Ma
- China Institute of Atomic Energy, Beijing 102413, China
| | - B Guo
- China Institute of Atomic Energy, Beijing 102413, China
| | - S W Xu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J Y Li
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - N C Qi
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - W L Sun
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - X Y Guo
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - P Zhang
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - Y H Chen
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - Y Zhou
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - J F Zhou
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - J R He
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - C S Shang
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - M C Li
- Yalong River Hydropower Development Company, Chengdu 610051, China
| | - X H Zhou
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y H Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - F S Zhang
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - Z G Hu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - H S Xu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J P Chen
- Key Laboratory of Beam Technology and Material Modification of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875, China
| | - W P Liu
- China Institute of Atomic Energy, Beijing 102413, China
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Zhang LY, Zhao KL, Fu WJ. [Spatial Distribution Characteristics and Risk Assessment of Cadmium Pollution in Soil-crops system of an E-waste Dismantling Area]. Huan Jing Ke Xue 2021; 42:4432-4440. [PMID: 34414743 DOI: 10.13227/j.hjkx.202101212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
With the rapid development of electronic technology, soil heavy metal contamination caused by electronic waste dismantling activities has attracted the attention of many researchers. To investigate the contamination status and spatial distribution of Cd in soil-crop systems around an e-waste dismantling area, 171 pairs of soil and crop samples were collected for analysis. The concentrations of cadmium in root vegetable soil, leaf vegetable soil, solanaceous vegetable soil, and orchard soil were (1.292±0.647), (1.010±0.201), (0.921±0.125), and (0.861±0.135) mg·kg-1, respectively. The average values of cadmium in these four soil types were 10.0, 7.8, 7.1, and 6.3 times the background values of soil Cd in Zhejiang Province, respectively, and 4.31, 3.4, 3.07, and 2.72 times the risk screening values for soil contamination of agricultural land, clearly indicating cadmium accumulation in the soil. However, only a small percentage of crops contained cadmium levels that exceeded food safety limits. Moreover, different types of crops showed different capacities for cadmium enrichment and can be ranked accordingly: leaf vegetables > root vegetables > solanaceous vegetables > fruits. The single factor pollution index and the potential ecological risk assessment revealed severe Cd contamination in the study area, with a high potential ecological risk. Cadmium exposure posed a higher health risk for children than for adults. However, the single heavy metal cadmium pollution index does not indicate a threat to local residents at this time. Moran's I index and kriging interpolation results revealed that Cd has significant spatial autocorrelation, with high values mainly concentrating around the e-waste dismantling area, indicating a significant correlation with e-waste dismantling activities.
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Affiliation(s)
- Lu-Yao Zhang
- College of Environmental and Resource Sciences, Zhejiang A&F University, Lin'an 311300, China.,Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, China
| | - Ke-Li Zhao
- College of Environmental and Resource Sciences, Zhejiang A&F University, Lin'an 311300, China.,Key Laboratory of Soil Contamination Bioremediation of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, China
| | - Wei-Jun Fu
- College of Environmental and Resource Sciences, Zhejiang A&F University, Lin'an 311300, China.,Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, China
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Zhang LY, Liu F, Chen X, Zhang XY, Ren YY, Zhang RR, Yang WY, Guo Y. [The hematological diversity of human parvovirus B19 infection after allo-hematopoietic stem cell transplantation in pediatric patients]. Zhonghua Xue Ye Xue Za Zhi 2021; 42:654-659. [PMID: 34547871 PMCID: PMC8501274 DOI: 10.3760/cma.j.issn.0253-2727.2021.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
目的 探讨异基因造血干细胞移植(allo-HSCT)患儿造血重建后人类细小病毒B19(HPV-B19)感染的血液学表现。 方法 对9例allo-HSCT后合并HPV-B19感染的患儿进行回顾性分析。 结果 9例患儿占同期接受allo-HSCT患儿的8.04%(9/112),男8例,女1例,中位年龄9(3~13)岁,均采取清髓性预处理方案。HPV-B19感染中位时间为移植后61(36~114)d。allo-HSCT并发HPV-B19感染患儿血液学表现具有异质性,9例患儿以血红蛋白伴网织红细胞下降为主要特点,7 d内网织红细胞比例、绝对值下降幅度中位数分别为90.4%(24.7%~98.7%)、90.7%(18.6%~99.0%)。除常见红系造血停滞表现外,allo-HSCT后合并HPV-B19感染的患儿还具有非红系的血象及骨髓变化:5例患儿外周血出现中性粒细胞下降,但骨髓涂片未见粒系增生受抑;6例患儿骨髓涂片查见巨核系增生减低,其中5例患儿外周血血小板下降。同时,allo-HSCT造血重建后合并HPV-B19感染的患儿骨髓红系受抑并非必要表现,9例患儿虽然均出现血红蛋白下降,但仅5例患儿骨髓红系增生减低。 结论 血液病患儿allo-HSCT造血重建后合并HPV-B19感染的血液学表现具有异质性,血红蛋白伴网织红细胞下降对HPV-B19感染早期诊断可能具有重要意义。
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Affiliation(s)
- L Y Zhang
- State Key Laboratory of Experimental Hematology; National Clinical Research Center for Blood Diseases; Children's Blood Disease Diagnosis and Treatment Center, Institute of Hematology & Blood Disease Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F Liu
- State Key Laboratory of Experimental Hematology; National Clinical Research Center for Blood Diseases; Children's Blood Disease Diagnosis and Treatment Center, Institute of Hematology & Blood Disease Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Chen
- State Key Laboratory of Experimental Hematology; National Clinical Research Center for Blood Diseases; Children's Blood Disease Diagnosis and Treatment Center, Institute of Hematology & Blood Disease Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Y Zhang
- State Key Laboratory of Experimental Hematology; National Clinical Research Center for Blood Diseases; Children's Blood Disease Diagnosis and Treatment Center, Institute of Hematology & Blood Disease Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Y Ren
- State Key Laboratory of Experimental Hematology; National Clinical Research Center for Blood Diseases; Children's Blood Disease Diagnosis and Treatment Center, Institute of Hematology & Blood Disease Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - R R Zhang
- State Key Laboratory of Experimental Hematology; National Clinical Research Center for Blood Diseases; Children's Blood Disease Diagnosis and Treatment Center, Institute of Hematology & Blood Disease Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W Y Yang
- State Key Laboratory of Experimental Hematology; National Clinical Research Center for Blood Diseases; Children's Blood Disease Diagnosis and Treatment Center, Institute of Hematology & Blood Disease Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Guo
- State Key Laboratory of Experimental Hematology; National Clinical Research Center for Blood Diseases; Children's Blood Disease Diagnosis and Treatment Center, Institute of Hematology & Blood Disease Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Zhang LY, Zhou J, Zhang BL, Zu YL, Zhang Y, Yu FK, Song YP. [The prognostic factors of extramedullary relapse after allogeneic hematopoietic stem cell transplantation in patients with acute lymphoblastic leukemia]. Zhonghua Nei Ke Za Zhi 2021; 60:757-759. [PMID: 34304453 DOI: 10.3760/cma.j.cn112138-20200729-00717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
To analyze the prognostic factors of extramedullary relapse (EMR) after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in acute lymphoblastic leukemia (ALL).The clinical data of 33 relapsed patients in 95 ALL patients receiving allo-HSCT were analyzed retrospectively. The median time of relapse was 5.7 (0.7-52.3) months. Extramedullary relapse was recorded in 10 cases (10.5%), bone marrow relapse in 15 cases (15.8%), and both extramedullary and marrow relapse were seen in 8 cases (8.4%). The median time of EMR was 7.4(0.7-52.3) months. The most commonly involved organ was central nervous system, followed by testis and bone. The 3-year OS rate in EMR patients was (33.3±11.1) %. Univariate analysis showed that disease state before transplantation (P=0.026), extramedullary infiltration before transplantation (P=0.005), conditioning regimens (P=0.033) and acute graft-versus-host disease(aGVHD) (P=0.013) were significantly correlated with EMR. Multivariate analysis suggested that extramedullary infiltration (RR=5.067, 95%CI1.542-16.645, P=0.007) and aGVHD(RR=3.585, 95%CI1.245-10.320, P=0.018) were independent predictive factors of EMR in ALL patients after allo-HSCT.
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Affiliation(s)
- L Y Zhang
- Department of Hematology, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - J Zhou
- Department of Hematology, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - B L Zhang
- Department of Hematology, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - Y L Zu
- Department of Hematology, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - Yanli Zhang
- Department of Hematology, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - F K Yu
- Department of Hematology, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou 450003, China
| | - Y P Song
- Department of Hematology, Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou 450003, China
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50
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Sun YY, Zhang YL, Zhang LY, Zhao GJ, Hong GL, Li MF, Wu B, Zhi SC, Lu ZQ. [Value of ATP synthase C subunit in predicting cardiac function and outcomes of sepsis]. Zhonghua Yi Xue Za Zhi 2021; 101:2140-2146. [PMID: 34275249 DOI: 10.3760/cma.j.cn112137-20201119-03147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the value of serum mitochondrial ATP synthase C subunit level in the evaluation of cardiac functional status and prognosis in patients with sepsis. Methods: A total of 165 sepsis patients admitted to the Emergency Intensive Care Unit (EICU) of the First Affiliated Hospital of Wenzhou Medical University from January 1, 2017 to December 31, 2018 were included, there were 103 males (62.4%) and 62 females (37.6%) with an age of (63±14) years. Human ATP synthase lipid binding protein (ATP5G1) ELISA kit was used to detect the level of serum ATP synthase C subunit within 24 h after admission to EICU, and compared with that in 45 healthy subjects. Clinical data of patients were collected and divided into groups according to different left ventricular ejection fraction (LVEF) and clinical outcomes. The differences in clinical indicators among each group were compared to evaluate the value of serum ATP synthase C subunit level in the evaluation of cardiac functional state and prognosis of patients with sepsis, and the independent risk factors for cardiac functional state and prognosis of patients with sepsis were analyzed. Results: Compared with the control group, the level of serum ATP synthase C subunit in the sepsis group was higher ((116±62) μg/L vs (77±34) μg/L, P<0.001). Compared with normal cardiac function group, the level of serum ATP synthase C subunit in septic cardiac dysfunction group was higher (P<0.001). Compared with the survival group, the level of serum ATP synthase C subunit in the death group was higher (P<0.05). The receiver operating curve (ROC) was drawn to analyze the value of ATP synthase C subunit, creatine kinase isoenzyme (CK-MB), B-type natriuretic peptide (BNP), troponin I (cTnI), left atrial end diastolic diameter, left ventricular end systolic diameter, left ventricular end diastolic volume, left ventricular end systolic volume in evaluating the cardiac function in patients with sepsis, and the area under the curve (AUC) was 0.928, 0.661, 0.837, 0.814, 0.703, 0.831, 0.794 and 0.765, respectively. The cut-off value, sensitivity and specificity of ATP synthase C subunit in it was 139.44 ng/L, 100% and 75.2%, respectively. ROC was drawn to analyze the prognostic value of age, urea nitrogen (BUN), ATP synthase C subunit, APACHEⅡ score and SAPSⅡ score in patients with sepsis, and the AUC was 0.719, 0.772, 0.656, 0.868 and 0.884, respectively. The cut-off value, sensitivity and specificity of ATP synthase C subunit in it was 131.24 ng/L, 61.9% and 68.7%, respectively. Logistic regression analysis showed that age, BUN, ATP synthase C subunit, cardiac dysfunction, APACHEⅡ score and SAPS Ⅱ score were independent risk factors for the prognosis of patients with sepsis. Conclusion: The level of serum ATP synthase C subunit is closely related to cardiac dysfunction in patients with sepsis, and can effectively predict the prognosis of patients with sepsis.
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Affiliation(s)
- Y Y Sun
- Emergency Department, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Y L Zhang
- Emergency Department, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - L Y Zhang
- Emergency Department, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - G J Zhao
- Emergency Department, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - G L Hong
- Emergency Department, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - M F Li
- Emergency Department, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - B Wu
- Emergency Department, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - S C Zhi
- Emergency Department, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Z Q Lu
- Emergency Department, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
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