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Sun Q, Liu L, Yang Y. [The mechanical ventilation guided by electrical impedance tomography in acute respiratory distress syndrome]. Zhonghua Yi Xue Za Zhi 2024; 104:1247-1252. [PMID: 38637164 DOI: 10.3760/cma.j.cn112137-20231007-00655] [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: 04/20/2024]
Abstract
Acute respiratory distress syndrome (ARDS) is a common and critical clinical condition characterized by diffuse damage to the lung interstitium, alveoli, and increased permeability of pulmonary blood vessels. CT can be used to assess the imaging features, severity, and prediction of ARDS, but it requires patient transportation to the CT room and is only a static examination. Electrical impedance tomography (EIT) is an increasingly widely used monitoring tool in clinical applications in recent years. It enables continuous real-time assessment of lung ventilation distribution at the bedside and has high clinical value in optimizing mechanical ventilation parameters for critically ill patients. This article introduces the basic principles of EIT and how to better utilize EIT technology to guide mechanical ventilation treatment for ARDS patients.
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Affiliation(s)
- Q Sun
- Department of Critical Care Unit, Zhongda Hospital Affiliated to Southeast University, Key Laboratory of Critical Care Medicine of Jiangsu Province, Nanjing 210009, China
| | - L Liu
- Department of Critical Care Unit, Zhongda Hospital Affiliated to Southeast University, Key Laboratory of Critical Care Medicine of Jiangsu Province, Nanjing 210009, China
| | - Y Yang
- Department of Critical Care Unit, Zhongda Hospital Affiliated to Southeast University, Key Laboratory of Critical Care Medicine of Jiangsu Province, Nanjing 210009, China
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Wang Y, Fan W, Zhang G, Zhao L, Li T, Zhang L, Hou T, Hong H, You Z, Sun Q, Li R, Liu C. LRRK2 is involved in heat exposure-induced acute lung injury and alveolar type II epithelial cell dysfunction. Environ Pollut 2024; 347:123643. [PMID: 38428793 DOI: 10.1016/j.envpol.2024.123643] [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] [Received: 08/29/2023] [Revised: 01/19/2024] [Accepted: 02/22/2024] [Indexed: 03/03/2024]
Abstract
Heat exposure induces excessive hyperthermia associated with systemic inflammatory response that leads to multiple organ dysfunction including acute lung injury. However, how heat impairs the lung remains elusive so far. We aimed to explore the underlying mechanism by focusing on leucine-rich repeat kinase 2 (LRRK2), which was associated with lung homeostasis. Both in vivo and in vitro models were induced by heat exposure. Firstly, heat exposure exerted core temperature (Tc) disturbance, pulmonary dysfunction, atelectasis, inflammation, impaired energy metabolism, and reduced surfactant proteins in the lung of mice. In addition, decreased LRRK2 expression and increased heat shock proteins (HSPs) 70 were observed with heat exposure in both the lung of mice and alveolar type II epithelial cells (AT2). Furthermore, LRRK2 inhibition aggravated heat exposure-initiated Tc dysregulation, injury in the lung and AT2 cells, and enhanced HSP70 expression. In conclusion, LRRK2 is involved in heat-induced acute lung injury and AT2 cell dysfunction.
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Affiliation(s)
- Yindan Wang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Wenjun Fan
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Guoqing Zhang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Lisha Zhao
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Ting Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Lu Zhang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Tong Hou
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Huihua Hong
- The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China
| | - Zhenqiang You
- School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Qinghua Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Ran Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China.
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Sun Q, Wang Z. [Interpretation of myeloid neoplasms in the 5th WHO classification of haematolymphoid tumors]. Zhonghua Bing Li Xue Za Zhi 2024; 53:323-330. [PMID: 38556814 DOI: 10.3760/cma.j.cn112151-20230823-00093] [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: 04/02/2024]
Abstract
The 5th edition of the WHO classification of haematolymphoid tumors β version had been released online, in which the section of myeloid neoplasms had undergone significant changes in the classification framework,standards of diagnosis and classification criteria. The principle of comprehensive diagnosis based on clinicopathologic multi-parameter was maintained, especially strengthening the priority importance of biological features in diagnosis and classification, and highlighting the biological characteristics of the disease and thus providing the basis for targeted treatment and prognostic evaluation. This article introduces the main updates and changes in the myeloid neoplasms of the 5th edition of the WHO haematolymphoid tumor classification, in order to better understand and guide clinical diagnosis and therapeutic treatment in the future.
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Affiliation(s)
- Q Sun
- Department of Pathology, Institute of Hematology, Blood Diseases Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Institutes of Health Science, Tianjin 300020, China
| | - Z Wang
- Department of Pathology, School of Basic Medicine, Fourth Military Medical University, Xi'an 710032, China
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Zhang C, Zhao D, Liu F, Yang J, Ban J, Du P, Lu K, Ma R, Liu Y, Sun Q, Chen S, Li T. Dust particulate matter increases pulmonary embolism onset: A nationwide time-stratified case-crossover study in China. Environ Int 2024; 186:108586. [PMID: 38521047 DOI: 10.1016/j.envint.2024.108586] [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] [Received: 01/23/2024] [Revised: 03/06/2024] [Accepted: 03/17/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Particulate matter (PM) has been found to elevate the risk of pulmonary embolism (PE) onset. Among the contributors to PM, dust PM stands as the second natural source, and its emissions are escalating due to climate change. Despite this, information on the effect of dust PM on PE onset is scarce. Hence, this study aims to investigate the impacts of dust PM10, dust PM2.5-10, and dust PM2.5 on PE onset. METHODS A nationwide time-stratified case-crossover study was conducted between 2015 and 2020, using data from 18,616 PE onset cases across 1,921 hospitals in China. The analysis employed a conditional logistic regression model to quantify the associations between dust PM10, dust PM2.5-10, and dust PM2.5 and PE onset. Furthermore, the study explored the time-distributed lag pattern of the effect of dust PM on PE development. Stratified analyses were performed based on sex, age, region, and season. RESULTS Dust PM10, dust PM2.5-10, and dust PM2.5 exhibited significant health effects on PE onset, particularly concerning exposure on the same day. The peak estimates were observed at lag 01 day, with the odds ratio being 1.011 [95 % confidence interval (CI): 1.003, 1.019], 1.014 (95 % CI: 1.003, 1.026), and 1.039 (95 % CI: 1.011, 1.068), for a 10 μg/m3 increase in the concentration of dust PM10, dust PM2.5-10, and dust PM2.5, respectively. In addition, the study identified a higher risk of PE onset associated with dust PM exposure during the warm season than that in cool season, particularly for dust PM2.5. CONCLUSIONS The findings from this study suggest that short-term exposure to dust PM, particularly dust PM2.5, may trigger PE onset, posing a significant health threat. Implementing measures to mitigate dust PM emissions and protect patients with PE from dust PM exposure is imperative.
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Affiliation(s)
- Can Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Dan Zhao
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Feng Liu
- Department of Cardiology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou 215127, China
| | - Jing Yang
- Department of Cardiology, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui hospital, Fudan University, Shanghai 200031, China
| | - Jie Ban
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Kailai Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Runmei Ma
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Siyu Chen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
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Tao Y, Sun Q, Wei Y, Liang C, Tang S, Li J, Pei J, Li Y, Wang C, Yuan S. Early and Accurate Detection of Radiation-induced Heart Damage by Cardiodynamicsgram. J Cardiovasc Transl Res 2024; 17:242-251. [PMID: 37548860 DOI: 10.1007/s12265-023-10419-0] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 07/24/2023] [Indexed: 08/08/2023]
Abstract
Cardiodynamicsgram (CDG) has emerged recently as a noninvasive spatiotemporal electrocardiographic method for subtle cardiac dynamics information analysis within electrocardiogram (ECG). This study explored the feasibility of CDG for detecting radiation-induced heart damage (RIHD) in a rat model. A single radiation dose of 40 Gy was delivered to the cardiac apex of female Wistar rats. First, CDG was generated through dynamic modeling of ECG signals using the deterministic learning algorithm. Furthermore, CDG indexes were calculated using the wavelet transform and entropy. In this model, CDG entropy indexes decreased significantly after radiotherapy. The shape of CDG changed significantly after radiotherapy (irregular shape) compared with controls (regular shape). Macrophage and fibrosis in myocardium of rats increased significantly after radiotherapy. CDG changes after radiotherapy were significantly correlated with histopathological changes and occurred significantly earlier than histopathological changes. This study provides an experimental basis for the clinical application of CDG for the early detection of RIHD.
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Affiliation(s)
- Yuanyuan Tao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China
| | - Qinghua Sun
- School of Control Science and Engineering, Shandong University, Jinan, China
- Center for Intelligent Medical Engineering, Shandong University, Jinan, China
| | - Yuchun Wei
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China
| | - Chunmiao Liang
- School of Control Science and Engineering, Shandong University, Jinan, China
| | - Shanshan Tang
- Electrocardiogram Room, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Jiali Li
- School of Control Science and Engineering, Shandong University, Jinan, China
| | - Jinli Pei
- Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yang Li
- Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Cong Wang
- School of Control Science and Engineering, Shandong University, Jinan, China.
- Center for Intelligent Medical Engineering, Shandong University, Jinan, China.
- Center for Intelligent Medical Engineering, School of Control Science and Engineering, Shandong University, Jinan, 250061, China.
| | - Shuanghu Yuan
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China.
- Shandong Cancer Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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Xie Y, Zhou Z, Sun Q, Zhao M, Pu J, Li Q, Sun Y, Dai H, Li T. Social-economic transitions and vulnerability to extreme temperature events from 1960 to 2020 in Chinese cities. iScience 2024; 27:109066. [PMID: 38361620 PMCID: PMC10867637 DOI: 10.1016/j.isci.2024.109066] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/13/2023] [Accepted: 01/25/2024] [Indexed: 02/17/2024] Open
Abstract
Climate change leads to more frequent and intense extreme temperature events, causing a significant number of excess deaths. Using an epidemiological approach, we analyze all-cause deaths related to heatwaves and cold spells in 2,852 Chinese counties from 1960 to 2020. Economic losses associated with these events are determined through the value of statistical life. Findings reveal that cold-related cumulative excess deaths (1,133 thousand) are approximately 2.5 times higher than heat-related deaths, despite an increase in heat-related fatalities in recent decades. Monetized mortality due to heat-related events is estimated at 1,284 billion CNY, while cold-related economic loss is 1,510 billion CNY. Notably, cities located in colder regions experience more heat-related excess deaths, and vice versa. Economic development does not significantly reduce mortality risks to heatwaves across China. This study provides insights into the spatial-temporal heterogeneity of heatwaves and cold spells mortality, essential for policymakers ensuring long-term climate adaptation and sustainability.
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Affiliation(s)
- Yang Xie
- School of Economics and Management, Beihang University, Beijing, China
| | - Ziqiao Zhou
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mengdan Zhao
- School of Economics and Management, Beihang University, Beijing, China
| | - Jinlu Pu
- School of Economics and Management, Beihang University, Beijing, China
| | - Qiutong Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yue Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hancheng Dai
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
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7
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Sun Q, Sun JJ, Wang M, Zhang L, Zhang XW, Wei JG, Kong LF, Li J. [Intraductal carcinomas of the salivary glands: a clinicopathological and molecular genetic analysis of twenty-seven cases]. Zhonghua Bing Li Xue Za Zhi 2024; 53:250-256. [PMID: 38433052 DOI: 10.3760/cma.j.cn112151-20230808-00056] [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: 03/05/2024]
Abstract
Objective: To investigate the clinicopathological features, molecular genetic features, and differential diagnosis of intraductal carcinomas (IDC) of the salivary glands. Methods: Twenty-five cases of salivary gland IDC diagnosed at the Department of Oral Pathology, Shanghai Ninth People's Hospital and two cases from Department of Pathology, Henan Provincial People's Hospital, Zhengzhou, China from January 2008 to July 2023 were collected. Their clinical and pathological features were analyzed retrospectively. Fluorescence in situ hybridization and Sanger sequencing were performed. The patients were followed up and related literatures were reviewed. Results: There were 27 patients with IDC, including 15 males and 12 females, ranging in age from 20.0 to 80.0 years (mean 55.9 years). Clinically, the tumor often presented as a painless mass with a tumor diameter of 1.0-3.0 cm (mean 2.0 cm). All patients received surgical treatment. Twenty patients were followed up. One of them (1/20) died of lung cancer, while the rest survived without tumor recurrence. Histologically, IDC were classified as: intercalated (63.0%, 17/27), apocrine (25.9%, 7/27), oncocytic (7.4%, 2/27) and mixed (3.7%, 1/27) types. Intercalated tumors showed positive S-100 and negative androgen receptor (AR) immunoreactivity. Ki-67 proliferation index was low (about 1%-5%). Nine cases had the RET gene disruption, and 2 cases showed the BRAF V600E mutation. Apocrine tumors showed strong AR immunoreactivity but no S-100 immunoreactivity. Ki-67 proliferation index was high (about 10%-60%), and the RET gene rupture was detected in 1 case. Oncocytic tumors were similar to that of intercalated type in 2 cases, and RET gene disruption was detected in the both cases. Mixed tumors showed histologic features of oncocytic and apocrine patterns and harbored the RET gene disruption. Conclusions: IDC is a rare low-grade malignant tumor of the salivary gland and easily confused with other salivary gland tumors with similar morphology. Molecular testing is helpful for its differential diagnosis.
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Affiliation(s)
- Q Sun
- Department of Pathology, Henan Provincial People's Hospital, Zhengzhou 450003, China Department of Oral Pathology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - J J Sun
- Department of Oral Pathology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - M Wang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, Shanghai 200011, China
| | - L Zhang
- Department of Pathology, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - X W Zhang
- Department of Pathology, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - J G Wei
- Department of Pathology, Zhejiang University Shaoxing People's Hospital, Shaoxing 312000, China
| | - L F Kong
- Department of Pathology, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - J Li
- Department of Oral Pathology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, Shanghai 200011, China
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Jiang D, An X, Xu Q, Mo G, Ling W, Ji C, Wang Z, Wang X, Sun Q, Kang B. Effects of ferritin heavy chain on oxidative stress, cell proliferation and apoptosis in geese follicular granulosa cells. Br Poult Sci 2024:1-10. [PMID: 38456722 DOI: 10.1080/00071668.2024.2315086] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 12/02/2023] [Indexed: 03/09/2024]
Abstract
1. The ferritin heavy chain (FHC) has a vital impact on follicular development in geese, due to its ability to regulate apoptosis of granulosa cells (GCs) and follicular atresia. However, its specific regulatory mechanisms remain unclear. The present study characterised how FHC regulates oxidative stress, cell proliferation and apoptosis in goose GCs by interfering with and overexpressing the FHC gene.2. After 72 h of interference with FHC expression, the activity of GCs decreased remarkably (p < 0.05), reactive oxygen species (ROS) levels and the expression levels of antioxidant enzyme genes catalase (CAT), superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) increased significantly (p < 0.05). The overexpression of FHC for 72 h was found to significantly reduce the expression of CAT and SOD genes (p < 0.05).3. Interfering with FHC expression revealed that the expression levels of the cell proliferation gene Aurora kinase A (AURORA-A) were significantly decreased (p < 0.05), while the expression levels of the apoptosis genes B-cell lymphoma-2 (BCL-2) and cysteine aspartate-specific protease 8 (CASPASE 8) increased (p < 0.05). Further research has shown that, when interfering with FHC expression for 72 h, apoptosis rate increased by 1.19-fold (p < 0.05), but the current data showed a lower apoptosis rate after FHC overexpression by 59.41%, 63.39%, and 52.31% at three different treatment times (p < 0.05).4. In conclusion, FHC improved the antioxidant capacity of GCs, promotes GCs proliferation, and inhibits GCs apoptosis of ovarian follicles in Sichuan white geese.
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Affiliation(s)
- D Jiang
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - X An
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - Q Xu
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - G Mo
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - W Ling
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - C Ji
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - Z Wang
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - X Wang
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - Q Sun
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
| | - B Kang
- State Key Laboratory of Swine and Poultry Breeding Industry,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, P. R. China
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9
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Gou R, Zhou S, Shi C, Sun Q, Huang Z, Zhao J, Xiao Y, Lei S, Cheng B. Control of positive and negative photo- and thermal-responses in a single PbI 2@CH 3NH 3PbI 3 micro/nanowire-based device for real-time sensing, nonvolatile memory, and logic operation. Mater Horiz 2024. [PMID: 38439663 DOI: 10.1039/d4mh00070f] [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] [Indexed: 03/06/2024]
Abstract
CH3NH3PbI3 has shown great potential for photodetectors and photovoltaic devices due to its excellent positive response to visible light. However, its real-time response characteristics hinder its application in optical memory and logic operation; moreover, the presence of excessive PbI2 is a double-edged sword. Herein, we constructed a dual-terminal device using a single CH3NH3PbI3 micro/nanowire with two Ag electrodes, and then in situ introduced PbI2 quantum dots (QDs) as hole trap centres by thermal decomposition at 160 °C. An anomalous negative photoconductivity (NPC) effect for sub-bandgap light below the PbI2 bandgap is obtained. Importantly, an electrically erasable nonvolatile photomemory can be realized. Furthermore, the device also exhibits an abnormal positive thermal resistance (PTR)-related thermomemory effect, and the thermal-induced high-resistance state (HRS) can be erased by a large bias or an illumination of 365 nm super-bandgap UV light. Additionally, logical "OR" gate operations are achieved through a combination of 650 nm sub-bandgap light and a 70 °C temperature-induced HRS, as well as a large bias and 365 nm super-bandgap light-triggered low-resistance state. These effects are attributed to the excitation and injection of holes in QDs and structural defect traps. This multifunctional device, integrating real-time sensing, nonvolatile memory, and logical operation, holds significant potential for novel electronic and optoelectronic applications.
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Affiliation(s)
- Runna Gou
- School of Physics and Materials Science, Nanchang University, Jiangxi 330031, P. R. China.
- School of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, P. R. China
| | - Shuanfu Zhou
- School of Physics and Materials Science, Nanchang University, Jiangxi 330031, P. R. China.
| | - Cencen Shi
- Institute for Advanced Study, Nanchang University, Jiangxi 330031, P. R. China
| | - Qinghua Sun
- School of Physics and Materials Science, Nanchang University, Jiangxi 330031, P. R. China.
| | - Zhikang Huang
- Institute for Advanced Study, Nanchang University, Jiangxi 330031, P. R. China
| | - Jie Zhao
- School of Physics and Materials Science, Nanchang University, Jiangxi 330031, P. R. China.
| | - Yanhe Xiao
- School of Physics and Materials Science, Nanchang University, Jiangxi 330031, P. R. China.
| | - Shuijin Lei
- School of Physics and Materials Science, Nanchang University, Jiangxi 330031, P. R. China.
| | - Baochang Cheng
- School of Physics and Materials Science, Nanchang University, Jiangxi 330031, P. R. China.
- Institute for Advanced Study, Nanchang University, Jiangxi 330031, P. R. China
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10
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Hou T, Zhang J, Wang Y, Zhang G, Li S, Fan W, Li R, Sun Q, Liu C. Early Pulmonary Fibrosis-like Changes in the Setting of Heat Exposure: DNA Damage and Cell Senescence. Int J Mol Sci 2024; 25:2992. [PMID: 38474239 DOI: 10.3390/ijms25052992] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 02/22/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
It is well known that extreme heat events happen frequently due to climate change. However, studies examining the direct health impacts of increased temperature and heat waves are lacking. Previous reports revealed that heatstroke induced acute lung injury and pulmonary dysfunction. This study aimed to investigate whether heat exposure induced lung fibrosis and to explore the underlying mechanisms. Male C57BL/6 mice were exposed to an ambient temperature of 39.5 ± 0.5 °C until their core temperature reached the maximum or heat exhaustion state. Lung fibrosis was observed in the lungs of heat-exposed mice, with extensive collagen deposition and the elevated expression of fibrosis molecules, including transforming growth factor-β1 (TGF-β1) and Fibronectin (Fn1) (p < 0.05). Moreover, epithelial-mesenchymal transition (EMT) occurred in response to heat exposure, evidenced by E-cadherin, an epithelial marker, which was downregulated, whereas markers of EMT, such as connective tissue growth factor (CTGF) and the zinc finger transcriptional repressor protein Slug, were upregulated in the heat-exposed lung tissues of mice (p < 0.05). Subsequently, cell senescence examination revealed that the levels of both senescence-associated β-galactosidase (SA-β-gal) staining and the cell cycle protein kinase inhibitor p21 were significantly elevated (p < 0.05). Mechanistically, the cGAS-STING signaling pathway evoked by DNA damage was activated in response to heat exposure (p < 0.05). In summary, we reported a new finding that heat exposure contributed to the development of early pulmonary fibrosis-like changes through the DNA damage-activated cGAS-STING pathway followed by cellular senescence.
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Affiliation(s)
- Tong Hou
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou 310053, China
| | - Jiyang Zhang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou 310053, China
| | - Yindan Wang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou 310053, China
| | - Guoqing Zhang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou 310053, China
| | - Sanduo Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou 310053, China
| | - Wenjun Fan
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou 310053, China
| | - Ran Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou 310053, China
| | - Qinghua Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou 310053, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou 310053, China
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11
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Qu J, Sun Q, Wu W, Zhang F, Liang C, Chen Y, Wang C. An interpretable shapelets-based method for myocardial infarction detection using dynamic learning and deep learning. Physiol Meas 2024; 45:035001. [PMID: 38266290 DOI: 10.1088/1361-6579/ad2217] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 01/24/2024] [Indexed: 01/26/2024]
Abstract
Objective.Myocardial infarction (MI) is a prevalent cardiovascular disease that contributes to global mortality rates. Timely diagnosis and treatment of MI are crucial in reducing its fatality rate. Currently, electrocardiography (ECG) serves as the primary tool for clinical diagnosis. However, detecting MI accurately through ECG remains challenging due to the complex and subtle pathological ECG changes it causes. To enhance the accuracy of ECG in detecting MI, a more thorough exploration of ECG signals is necessary to extract significant features.Approach.In this paper, we propose an interpretable shapelet-based approach for MI detection using dynamic learning and deep learning. Firstly, the intrinsic dynamics of ECG signals are learned through dynamic learning. Then, a deep neural network is utilized to extract and select shapelets from ECG dynamics, which can capture locally specific ECG changes, and serve as discriminative features for identifying MI patients. Finally, the ensemble model for MI detection is built by integrating shapelets of multi-dimensional ECG dynamic signals.Main results.The performance of the proposed method is evaluated on the public PTB dataset with accuracy, sensitivity, and specificity of 94.11%, 94.97%, and 90.98%.Significance.The shapelets obtained in this study exhibit significant morphological differences between MI and healthy subjects.
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Affiliation(s)
- Jierui Qu
- School of Control Science and Engineering, Shandong University, Jinan 250061, People's Republic of China
| | - Qinghua Sun
- School of Control Science and Engineering, Shandong University, Jinan 250061, People's Republic of China
- Center for Intelligent Medical Engineering, Shandong University, Jinan 250061, People's Republic of China
| | - Weiming Wu
- School of Control Science and Engineering, Shandong University, Jinan 250061, People's Republic of China
- Center for Intelligent Medical Engineering, Shandong University, Jinan 250061, People's Republic of China
| | - Fukai Zhang
- School of Control Science and Engineering, Shandong University, Jinan 250061, People's Republic of China
- Center for Intelligent Medical Engineering, Shandong University, Jinan 250061, People's Republic of China
| | - Chunmiao Liang
- School of Control Science and Engineering, Shandong University, Jinan 250061, People's Republic of China
- Center for Intelligent Medical Engineering, Shandong University, Jinan 250061, People's Republic of China
| | - Yuguo Chen
- Department of Emergency, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China
| | - Cong Wang
- School of Control Science and Engineering, Shandong University, Jinan 250061, People's Republic of China
- Center for Intelligent Medical Engineering, Shandong University, Jinan 250061, People's Republic of China
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12
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Li T, Sun Q, Chen C, Wang Q, Ban J, Ma R, Zhang Y, Pan L, Liu Y, Li Q, Chang L, Zhang H, Liu Y, Niu M, Wei X, Wang L. Statement on Establishment of Public Health Protection Guideline for Cold Spells - China. China CDC Wkly 2024; 6:92-94. [PMID: 38410532 PMCID: PMC10894708 DOI: 10.46234/ccdcw2024.020] [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] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 01/28/2024] [Indexed: 02/28/2024] Open
Affiliation(s)
- Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qing Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jie Ban
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Runmei Ma
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Pan
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qiutong Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Leyao Chang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hanshuo Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yirong Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Miaoyou Niu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiangxiang Wei
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
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13
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Yang Q, Zhang F, Sun Q, Wang C. Dynamic learning from adaptive neural control for full-state constrained strict-feedback nonlinear systems. Neural Netw 2024; 170:596-609. [PMID: 38056407 DOI: 10.1016/j.neunet.2023.11.064] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/21/2023] [Accepted: 11/29/2023] [Indexed: 12/08/2023]
Abstract
This study focuses on the learning and control issues of strict-feedback systems with full-state constraints. To achieve learning capability under constraints, transformation mapping is utilized to convert the original system with full-state constraints into a quasi-pure-feedback unconstrained system. Utilizing the system transformation technique, only a single neural network (NN) is required to identify the unknown dynamics within the transformed system. Combining the dynamic surface control design, a novel adaptive neural control scheme is developed to ensure that all closed-loop signals are uniformly bounded, and every system state remains within the predefined constraint range. In addition, the precise convergence of NN weights is further transformed into an exponential stability problem for a category of linear time-varying systems under persistent excitation conditions. Subsequently, the converged NN weights are efficiently stored and utilized to create a learning controller to achieve better control performance while abiding by the full-state constraints. The viability of this control strategy is demonstrated via simulations.
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Affiliation(s)
- Qinchen Yang
- School of control Science and Engineering, Shandong University, Jinan, 250000, PR China
| | - Fukai Zhang
- School of control Science and Engineering, Shandong University, Jinan, 250000, PR China.
| | - Qinghua Sun
- School of control Science and Engineering, Shandong University, Jinan, 250000, PR China
| | - Cong Wang
- School of control Science and Engineering, Shandong University, Jinan, 250000, PR China.
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14
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Zhao H, Sun Q, Jiang XH, Yuan XH, Peng JS. [Application progress of clinical outcome assessment measures in patients with gastric cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2024; 27:92-98. [PMID: 38262907 DOI: 10.3760/cma.j.cn441530-20230308-00070] [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: 01/25/2024]
Abstract
Gastric cancer is a common tumor of the gastrointestinal tract, and the global trend in morbidity and mortality are not encouraging. Especially in advanced gastric cancer, patient survival outcome is an essential clinical concern and a vital outcome indicator in clinical outcome assessment. This article reviews the definition of clinical outcome assessment and the measurement tools that can be applied in gastric cancer patients, describes the detailed classification of clinical outcome assessment tools, and reviews the current status of the application of clinical outcome assessment in gastric cancer, analyzing the effects and shortcomings of its application, to provide a reference for the clinical staff in choosing the appropriate tools, and assisting in the comprehensive and holistic assessment of clinical outcomes for the promotion of the development of precision medicine.
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Affiliation(s)
- H Zhao
- School of Nursing, Sun Yat-Sen University, Guangzhou 510080, China
| | - Q Sun
- School of Nursing, Sun Yat-Sen University, Guangzhou 510080, China
| | - X H Jiang
- School of Nursing, Sun Yat-Sen University, Guangzhou 510080, China
| | - X H Yuan
- Department of Stomach Surgery, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China
| | - J S Peng
- School of Nursing, Sun Yat-Sen University, Guangzhou 510080, China Department of Gastrointestinal Surgery, Sixth Affiliated Hospital of Sun Yat-Sen University; Department of General Surgery, Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510655, China
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15
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Gu W, Chai Y, Huang Y, Cai Z, Li R, Chen R, Liu C, Sun Q. Desipramine ameliorates fine particulate matter-induced hepatic insulin resistance by modulating the ceramide metabolism in mice. Ecotoxicol Environ Saf 2024; 270:115849. [PMID: 38134639 DOI: 10.1016/j.ecoenv.2023.115849] [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] [Received: 10/09/2023] [Revised: 12/12/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023]
Abstract
Recent research has highlighted a correlation between exposure to ambient fine particulate matter (PM2.5) and the development of systemic insulin resistance (IR) along with an elevated risk of diabetes. Ceramide has emerged as one of the pathogenic mechanisms contributing to IR. The inhibition of acid sphingomyelinase (ASMase) activity by desipramine (DES) has been shown to effectively reduce ceramide levels. In the present study, 24 female C57BL/6 N mice were randomized into one of the four groups: the filtered air exposure (FA) group, the concentrated PM2.5 exposure (PM) group, the concentrated PM2.5 treated with low-dose DES (DL) group, and the concentrated PM2.5 treated with high-dose DES (DH) group. The PM, DL and DH groups were exposed to PM2.5 for an 8-week period within a whole-body exposure system. The study encompassed extensive examinations of glucose homeostasis, liver lipid profile, ceramide pathway, and insulin signaling pathway. Our results demonstrated that PM2.5 exposure caused impaired glucose tolerance, elevated ceramide levels, increased phosphorylation PP2A, reduced Akt phosphorylation, and hindered GLUT2 expression. Remarkably, DES administration mitigated PM2.5-induced IR by effectively lowering ceramide levels. In conclusion, the reduction of ceramide levels by DES may be a promising therapeutic strategy for coping PM2.5-induced IR.
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Affiliation(s)
- Weijia Gu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Yanxi Chai
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yuxin Huang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Ziwei Cai
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Ran Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Rucheng Chen
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Qinghua Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China.
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16
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Xiao J, Zheng YC, Zhao JW, Cui CH, Wang HJ, Sun Q, Ma J, Ma YS, Song Z, Xiao ZJ, Li CW. [Use of the ETV6/RUNX1 probe to verify the performance of the fluorescence in situ hybridization probe before clinical detection]. Zhonghua Xue Ye Xue Za Zhi 2024; 45:48-53. [PMID: 38527838 DOI: 10.3760/cma.j.cn121090-20230721-00015] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Objective: To explore the standardized performance of a FISH probe before clinical detection. Methods: The probe sensitivity and specificity of ETV6/RUNX1 were analyzed via interphase and metaphase FISH in 20 discarded healthy bone marrow samples. The threshold system of the probe was established using an inverse beta distribution, and an interpretation standard was established. Finally, a parallel-controlled polymerase chain reaction detection study was conducted on 286 bone marrow samples from patients at our hospital. The clinical sensitivity, specificity, and diagnostic coincidence rate of ETV6/RUNX1 FISH detection were analyzed, and the diagnostic consistency of the two methods was analyzed by the kappa test. Results: The probe sensitivity and specificity of the ETV6/RUNX1 probe were 98.47% and 100%, respectively. When 50, 100, and 200 cells were counted, the typical positive signal pattern cutoffs were 5.81%, 2.95%, and 1.49%, respectively, and the atypical positive signal pattern cutoffs were 13.98%, 9.75%, and 6.26%, respectively. The clinical sensitivity of FISH was 96.1%, clinical specificity was 99.6%, diagnostic coincidence rate was 99.00%, diagnostic consistency test kappa value was 0.964, and P value was <0.001. Conclusion: For FISH probes without a national medical device registration certificate, standardized performance verification and methodology performance verification can be performed using laboratory developed test verification standards to ensure a reliable and accurate reference basis for clinical diagnosis and treatment.
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Affiliation(s)
- J Xiao
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Y C Zheng
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J W Zhao
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - C H Cui
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - H J Wang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Q Sun
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J Ma
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Y S Ma
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z Song
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z J Xiao
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - C W Li
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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Gao J, Zhang Y, Wang X, Sun Q, Yin J. Active screening for tuberculosis among high-risk populations in high-burden areas in Zhejiang province, China. Public Health 2024; 226:138-143. [PMID: 38056401 DOI: 10.1016/j.puhe.2023.10.051] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 10/13/2023] [Accepted: 10/31/2023] [Indexed: 12/08/2023]
Abstract
OBJECTIVES Tuberculosis (TB) is a major global public health concern. Although the incidence of TB in China is declining, the country continues to face many challenges regarding TB control. This study aimed to develop an active case finding (ACF) strategy for high-risk populations in areas with high TB burden and evaluate the effectiveness of the ACF strategy for early TB detection in patients to reduce TB transmission. STUDY DESIGN This was a descriptive study. METHODS From May to October 2019, active TB screening was conducted in Zhejiang Province, China. Overall, 24 high-burden townships were chosen as study sites. Residents aged ≥65 years, suffering from diabetes, diagnosed with HIV/AIDS, or with a history of TB were mobilized for screening. Chest radiography was performed for all participants in the community. Sputum specimens were collected for sputum smear tests and cultures at county-level TB-designed hospitals. A professional medical team performed the final diagnoses. RESULTS Overall, 130,643 residents were included, accounting for 8.85% of the total population in the selected areas. After screening, 89 confirmed cases and 419 suspected cases were identified. The detection rates for suspected and confirmed cases were 320.72/100,000 and 68.12/100,000, respectively. Individuals with a history of TB accounted for a large proportion of detected cases, and the detection rate was higher among males than in females. This study identified 10.5% of reported cases in the selected areas in 2019. In Zhejiang province, compared with the previous year, the rates of TB notification in 2019 and 2020 declined by 7.0% and 7.4%, respectively, compared with the previous year. However, the TB notification rate in 2019 was almost the same as that in 2018 (a decline of 2.5%) but sharply declined in 2020 (14.4%) in the screened areas. CONCLUSIONS Our findings suggest that the ACF strategy may have helped to maintain the downward trends in TB notification rates by detecting patients with TB and suspected cases in the short term.
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Affiliation(s)
- J Gao
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
| | - Y Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - X Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Q Sun
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
| | - J Yin
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
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18
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Deng J, Zhang W, Xu M, Liu X, Ren T, Li S, Sun Q, Xue C, Zhou J. Value of spectral CT parameters in predicting the efficacy of neoadjuvant chemotherapy for gastric cancer. Clin Radiol 2024; 79:51-59. [PMID: 37914603 DOI: 10.1016/j.crad.2023.08.023] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 07/26/2023] [Accepted: 08/30/2023] [Indexed: 11/03/2023]
Abstract
AIM To investigate the value of pre-chemotherapy spectral computed tomography (CT) parameters in predicting neoadjuvant chemotherapy (NAC) response in gastric cancer (GC). MATERIALS AND METHODS Sixty patients with GC who received NAC and underwent spectral CT examination before chemotherapy were enrolled retrospectively and divided into a responsive group and a non-responsive group according to the postoperative pathological tumour regression grade. Clinical characteristics were collected. The iodine concentration (IC), water concentration (WC), and effective atomic number (Eff-Z) of the portal venous phases were measured before chemotherapy, and IC was normalised to that of the aorta to provide the normalised IC (NIC). An independent samples t-test, Mann-Whitney U-test, or chi-square test was used to analyse the differences between the two groups, and the receiver operating curve (ROC) was used to evaluate the predictive performance of different variables. RESULTS The neutrophil-to-lymphocyte ratio (NLR) was lower in the responsive group than in the non-responsive group (p<0.05). IC, NIC, and Eff-Z values were significantly higher in the responsive group than in the non-responsive group (p<0.01). The areas under the ROC curves for the NLR, IC, NIC, and Eff-Z were 0.694, 0.688, 0.799, and 0.690, respectively. The combination of NIC, Eff-Z, and NLR values showed good diagnostic performance in predicting response to NAC in GC, with an area under the ROC curve of 0.857, 76.92% sensitivity, 80% accuracy, and 85.71% specificity. CONCLUSION Spectral CT parameters may serve as non-invasive tools for predicting the response to NAC in patients with GC.
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Affiliation(s)
- J Deng
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - W Zhang
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - M Xu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - X Liu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - T Ren
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - S Li
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - Q Sun
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - C Xue
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - J Zhou
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China.
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19
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Wei X, Wu HY, Pu XH, Wang XD, Li ZW, Sun Q. [NTRK-rearranged spindle cell neoplasm: report of a case]. Zhonghua Bing Li Xue Za Zhi 2023; 52:1278-1280. [PMID: 38058049 DOI: 10.3760/cma.j.cn112151-20230831-00113] [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)
- X Wei
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - H Y Wu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - X H Pu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - X D Wang
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Z W Li
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Sun
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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20
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Wu Y, Wang Y, Zhang W, Peng J, Qin L, Zhang L, Chen R, Gu W, Sun Q, Liu C, Li R. Gestational exposure to ambient fine particulate matter disrupts maternal hepatic lipid metabolism. Chemosphere 2023; 344:140369. [PMID: 37802477 DOI: 10.1016/j.chemosphere.2023.140369] [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] [Received: 07/02/2023] [Revised: 09/27/2023] [Accepted: 10/03/2023] [Indexed: 10/10/2023]
Abstract
Pregnancy is a unique physiological stage for females as well as a vulnerable period for pollutant exposure. The effect of gestational ambient fine particulate matter (PM2.5) exposure on maternal lipid metabolism during pregnancy is rarely observed, and the mechanism is unknown. In the current study, pregnant C57BL/6 mice were randomly assigned to either ambient PM2.5 or filtered air exposure chambers since gestational day (GD) 0. Meanwhile, non-pregnant female mice were housed as controls in each exposure chamber. PM2.5 exposure exerted no significant effect on body weight gain or the body composition during pregnancy. Pregnant mice exposed to PM2.5 demonstrated improved glucose tolerance, whereas non-pregnant mice showed an increased fasting blood glucose level after PM2.5 exposure with no alterations in glucose tolerance. PM2.5 exposure exerted no significant effect on total lipid content in serum during pregnancy, while an increased serum total lipid level was found in non-pregnant mice exposed to PM2.5. PM2.5 exposure had no effect on total liver lipid levels, it increased several triacylglycerol (TAG) species and total cholesterol esters (CEs) in pregnant mice but lowered a considerable amount in non-pregnant mice' livers. Furthermore, gestational exposure to PM2.5 enhanced the expression of key enzymes in fatty acid uptake, de novo lipid synthesis, and β oxidation, and inhibited molecules for lipid export in mice liver. Conversely, PM2.5 exposure upregulated proteins involved in hepatic lipolysis and lipid export in non-pregnant mice. These results suggest that the interference of PM2.5 exposure during pregnancy on the lipid metabolism, particularly the hepatic lipid metabolism, differs from that during non-pregnancy. This study provides toxicological evidence that PM2.5 exposure during pregnancy disrupts the lipid metabolism of the liver and provides a basis for protecting vulnerable populations.
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Affiliation(s)
- Yunlu Wu
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yirun Wang
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Wenhui Zhang
- Department of Environmental and Occupational Health, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Jing Peng
- Zhuantang Community Healthcare Center, Hangzhou, Zhejiang, China
| | - Li Qin
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Lu Zhang
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Rucheng Chen
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Weijia Gu
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Qinghua Sun
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China.
| | - Ran Li
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China.
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21
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Li Z, Jiang E, Liu M, Sun Q, Gao Z, Du Y. Effects of Coverlys TF150 ® on the Photosynthetic Characteristics of Grape. Int J Mol Sci 2023; 24:16659. [PMID: 38068982 PMCID: PMC10706710 DOI: 10.3390/ijms242316659] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/15/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023] Open
Abstract
Grape rain-shelter cultivation is a widely employed practice in China. At present, the most commonly used rain shelter film materials are polyvinyl chloride (PVC), polyethylene (PE), ethylene-vinyl acetate copolymer (EVA), and polyolefin (PO). Coverlys TF150® is a woven fabric with an internal antifoggy PE coating that has not yet been popularized as a rain shelter film for grapes in China. To investigate the effects of Coverlys TF150® on grapes, we measured the microdomain environment, leaf development, and photosynthetic characteristics of 'Miguang' (Vitis vinifera × V. labrusca) under rain-shelter cultivation and performed transcriptome analysis. The results showed that Coverlys TF150® significantly reduced (p < 0.05) the light intensity, temperature, and humidity compared with PO film, increased the chlorophyll content and leaf thickness (particularly palisade tissue thickness), and increased stomatal density and stomatal opening from 10:00 to 14:00. Coverlys TF150® was observed to improve the maximum efficiency of photosystem II (Fv/Fm), photochemical quenching (qP), the electron transfer rate (ETR), and the actual photochemical efficiency (ΦPSII) from 10:00 to 14:00. Moreover, the net photosynthetic rate (Pn), intercellular CO2 concentration (Ci), stomatal conductance (Gs), and transpiration rate (Tr) of grape leaves significantly increased (p < 0.05) from 10:00 to 14:00. RNA-Seq analysis of the grape leaves at 8:00, 10:00, and 12:00 revealed 1388, 1562, and 1436 differential genes at these points in time, respectively. KEGG enrichment analysis showed the occurrence of protein processing in the endoplasmic reticulum. Plant hormone signal transduction and plant-pathogen interaction were identified as the metabolic pathways with the highest differential gene expression enrichment. The psbA encoding D1 protein was significantly up-regulated in both CO10vsPO10 and CO12vsPO12, while the sHSPs family genes were significantly down-regulated in all time periods, and thus may play an important role in the maintenance of the photosystem II (PSII) activity in grape leaves under Coverlys TF150®. Compared with PO film, the PSI-related gene psaB was up-regulated, indicating the ability of Coverlys TF150® to better maintain PSI activity. Compared with PO film, the abolic acid receptacle-associated gene PYL1 was down-regulated at all time periods under the Coverlys TF150® treatment, while PP2C47 was significantly up-regulated in CO10vsPO10 and CO12vsPO12, inducing stomatal closure. The results reveal that Coverlys TF150® alleviates the stress of high temperature and strong light compared with PO film, improves the photosynthetic capacity of grape leaves, and reduces the midday depression of photosynthesis.
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Affiliation(s)
- Zhonghan Li
- College of Horticultural Science and Engineering, Shandong Agricultural University, Tai’an 271018, China; (Z.L.); (M.L.); (Q.S.)
| | - Enshun Jiang
- Shandong Institute of Pomology, Tai’an 271000, China;
| | - Minghui Liu
- College of Horticultural Science and Engineering, Shandong Agricultural University, Tai’an 271018, China; (Z.L.); (M.L.); (Q.S.)
| | - Qinghua Sun
- College of Horticultural Science and Engineering, Shandong Agricultural University, Tai’an 271018, China; (Z.L.); (M.L.); (Q.S.)
| | - Zhen Gao
- College of Horticultural Science and Engineering, Shandong Agricultural University, Tai’an 271018, China; (Z.L.); (M.L.); (Q.S.)
| | - Yuanpeng Du
- College of Horticultural Science and Engineering, Shandong Agricultural University, Tai’an 271018, China; (Z.L.); (M.L.); (Q.S.)
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22
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Wang T, Fu Y, Ma M, Zhou J, Sun Q, Feng AN, Meng FQ. [Pathological features and diagnostic significance of lung biopsy in occupational lung diseases]. Zhonghua Bing Li Xue Za Zhi 2023; 52:1114-1119. [PMID: 37899316 DOI: 10.3760/cma.j.cn112151-20230419-00272] [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: 10/31/2023]
Abstract
Objective: To investigate the clinicopathological characteristics of occupational lung diseases, to reduce the missed diagnoses and misdiagnoses of the diseases and to help standardize the diagnosis and treatment of these patients. Methods: A total of 4 813 lung biopsy specimens (including 1 935 consultation cases) collected at the Department of Pathology, Nanjing Drum Tower Hospital, Nanjing, China from January 1st, 2017 to December 31th, 2019 were retrospectively analyzed. Among them, 126 cases of occupational lung diseases were confirmed with clinical-radiological-pathological diagnosis. Special staining, PCR and scanning electron microscopy were also used to rule out the major differential diagnoses. Results: The 126 patients with occupational lung diseases included 102 males and 24 females. All of them had a history of exposure to occupational risk factor(s). Morphologically, 68.3% (86/126) of the cases mainly showed pulmonary fibrotic nodules, dust plaque formation or carbon end deposition in pulmonary parenchyma. 16.7% (21/126) of the cases mainly showed welding smoke particle deposition in the alveolar cavity and lung interstitium while 15.1% (19/126) of the cases showed granulomas with fibrous tissue hyperplasia, alveolar protein deposition or giant cell interstitial pneumonia. The qualitative and semi-quantitative analyses of residual dust components in the lung under scanning electron microscope were helpful for the diagnosis of welder's pneumoconiosis and hard metal lung disease. Conclusions: The morphological characteristics of lung biopsy tissue are important reference basis for the clinicopathological diagnosis and differential diagnosis of occupational lung diseases. Recognizing the characteristic morphology and proper use of auxiliary examination are the key to an accurate diagnosis of occupational lung diseases on biopsy specimens.
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Affiliation(s)
- T Wang
- Department of Pathology, Nanjing Drum Tower Hospital/the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Y Fu
- Department of Pathology, Nanjing Drum Tower Hospital/the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - M Ma
- Department of Respiratory Medicine, Nanjing Drum Tower Hospital/the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - J Zhou
- Department of Medical Imaging, Nanjing Drum Tower Hospital/the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Sun
- Department of Pathology, Nanjing Drum Tower Hospital/the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - A N Feng
- Department of Pathology, Nanjing Drum Tower Hospital/the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - F Q Meng
- Department of Pathology, Nanjing Drum Tower Hospital/the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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23
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Sun Q, Qi YK, Qi KM, Yan ZL, Cheng H, Chen W, Zhu F, Sang W, Li DP, Cao J, Shi M, Li ZY, Xu KL. [Observation of liver indexes in patients with relapsed/refractory multiple myeloma treated with CAR-T-cells based on BCMA]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:832-837. [PMID: 38049335 PMCID: PMC10694074 DOI: 10.3760/cma.j.issn.0253-2727.2023.10.007] [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] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Indexed: 12/06/2023]
Abstract
Objective: To observe the characteristics of the evolution of liver indexes in patients with relapsed/refractory multiple myeloma (RRMM) treated with CAR-T-cells based on BCMA. Methods: Retrospective analysis was performed of patients with RRMM who received an infusion of anti-BCMA CAR-T-cells and anti-BCMA combined with anti-CD19 CAR-T-cells at our center between June 1, 2019, and February 28, 2023. Clinical data were collected to observe the characteristics of changes in liver indexes such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), and direct bilirubin (DBIL) in patients, and its relationship with cytokine-release syndrome (CRS) . Results: Ninety-two patients were included in the analysis, including 41 patients (44.6%) in the group receiving a single infusion of anti-BCMA CAR-T-cells, and 51 patients (55.4%) in the group receiving an infusion of anti-BCMA combined with anti-CD19 CAR-T-cells. After infusing CAR-T-cells, 31 patients (33.7%) experienced changes in liver indexes at or above grade 2, which included 20 patients (21.7%) with changes in one index, five patients (5.4%) with changes in two indexes, and six patients (6.5%) with changes in three or more indexes. The median time of peak values of ALT and AST were d17 and d14, respectively, and the median duration of exceeding grade 2 was 5.0 and 3.5 days, respectively. The median time of peak values of TBIL and DBIL was on d19 and d21, respectively, and the median duration of exceeding grade 2 was 4.0 days, respectively. The median time of onset of CRS was d8, and the peak time of fever was d9. The ALT, AST, and TBIL of patients with CRS were higher than those of patients without CRS (P=0.011, 0.002, and 0.015, respectively). CRS is an independent factor that affects ALT and TBIL levels (OR=19.668, 95% CI 18.959-20.173, P=0.001). The evolution of liver indexes can be reversed through anti-CRS and liver-protection treatments, and no patient died of liver injury. Conclusions: In BCMA-based CAR-T-cell therapy for RRMM, CRS is an important factor causing the evolution of liver indexes. The evolution of liver indexes after CAR-T-cell infusion is transient and reversible after treatment.
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Affiliation(s)
- Q Sun
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - Y K Qi
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - K M Qi
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - Z L Yan
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - H Cheng
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - W Chen
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - F Zhu
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - W Sang
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - D P Li
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - J Cao
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - M Shi
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - Z Y Li
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
| | - K L Xu
- Hematology Institute of Xuzhou Medical University, Hematology Department of The Affiliated Hospital of Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Bone Marrow Stem Cells, Xuzhou 221002, China
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Wang XM, Zhou Y, Zhang JL, Zhou HY, Zhang Q, Sun Q, Li HJ, Xu LY, Yao SN, Yao ZH, Yan DM, Xu KL, Sang W. [Allogeneic hematopoietic stem cell transplantation combined with CD7 CAR-T for the treatment of T lymphoblastic lymphoma: a case report and literature review]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:864-865. [PMID: 38049342 PMCID: PMC10694072 DOI: 10.3760/cma.j.issn.0253-2727.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Indexed: 12/06/2023]
Affiliation(s)
- X M Wang
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
| | - Y Zhou
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
| | - J L Zhang
- Department of Rehabilitation, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China
| | - H Y Zhou
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
| | - Q Zhang
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
| | - Q Sun
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
| | - H J Li
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
| | - L Y Xu
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
| | - S N Yao
- Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450000, China
| | - Z H Yao
- Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450000, China
| | - D M Yan
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
| | - K L Xu
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
| | - W Sang
- Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Blood Diseases Institute, Key Laboratory of Bone Marrow Stem Cell, Xuzhou 221000, China
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Aguilar M, Ambrosi G, Anderson H, Arruda L, Attig N, Bagwell C, Barao F, Barbanera M, Barrin L, Bartoloni A, Battiston R, Belyaev N, Berdugo J, Bertucci B, Bindi V, Bollweg K, Bolster J, Borchiellini M, Borgia B, Boschini MJ, Bourquin M, Burger J, Burger WJ, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen H, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, D'Angelo F, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Faldi F, Feng J, Fiandrini E, Fisher P, Formato V, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grandi D, Graziani M, Guracho AN, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Huang BW, Ionica M, Incagli M, Jia Y, Jinchi H, Karagöz G, Khan S, Khiali B, Kirn T, Klipfel AP, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, LaVecchia G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li M, Li Q, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo SD, Luo X, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Molero M, Mott P, Mussolin L, Jozani YN, Negrete J, Nicolaidis R, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Ottupara MA, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Conde AR, Robyn E, Rodríguez-García I, Romaneehsen L, Rossi F, Rozhkov A, Rozza D, Sagdeev R, Savin E, Schael S, von Dratzig AS, Schwering G, Seo ES, Shan BS, Siedenburg T, Silvestre G, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Tian Y, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Wu Y, Xiao JN, Xiong RQ, Xiong XZ, Xu W, Yan Q, Yang HT, Yang Y, Yelland A, Yi H, You YH, Yu YM, Yu ZQ, Zhang C, Zhang F, Zhang FZ, Zhang J, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Temporal Structures in Positron Spectra and Charge-Sign Effects in Galactic Cosmic Rays. Phys Rev Lett 2023; 131:151002. [PMID: 37897756 DOI: 10.1103/physrevlett.131.151002] [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: 07/23/2023] [Revised: 08/26/2023] [Accepted: 09/01/2023] [Indexed: 10/30/2023]
Abstract
We present the precision measurements of 11 years of daily cosmic positron fluxes in the rigidity range from 1.00 to 41.9 GV based on 3.4×10^{6} positrons collected with the Alpha Magnetic Spectrometer (AMS) aboard the International Space Station. The positron fluxes show distinctly different time variations from the electron fluxes at short and long timescales. A hysteresis between the electron fluxes and the positron fluxes is observed with a significance greater than 5σ at rigidities below 8.5 GV. On the contrary, the positron fluxes and the proton fluxes show similar time variation. Remarkably, we found that positron fluxes are modulated more than proton fluxes with a significance greater than 5σ for rigidities below 7 GV. These continuous daily positron fluxes, together with AMS daily electron, proton, and helium fluxes over an 11-year solar cycle, provide unique input to the understanding of both the charge-sign and mass dependencies of cosmic rays in the heliosphere.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - H Anderson
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - C Bagwell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M Barbanera
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - R Battiston
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - N Belyaev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - J Bolster
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Borchiellini
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Chen
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F D'Angelo
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - A Dass
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Faldi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Feng
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | | | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - B W Huang
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - M Ionica
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - S Khan
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A P Klipfel
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Koutsenko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - G LaVecchia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - I Lazzizzera
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - M Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - S D Luo
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - M Molero
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - Y Najafi Jozani
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - R Nicolaidis
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - N Nikonov
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | | | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M A Ottupara
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | | | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - I Rodríguez-García
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Romaneehsen
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - F Rossi
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - E Savin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - G Silvestre
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Y Tian
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - Y Wu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J N Xiao
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - X Z Xiong
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H T Yang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - A Yelland
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y H You
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Zhang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
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Lu WL, Sun Q, Yin ZC, Yu Y, Zhang SN, Xu B, Liu J. [Investigation and analysis of oral health resources allocation status in Yunnan Province]. Zhonghua Kou Qiang Yi Xue Za Zhi 2023; 58:1034-1040. [PMID: 37818539 DOI: 10.3760/cma.j.cn112144-20230814-00075] [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: 10/12/2023]
Abstract
Objective: To investigate and analyze the allocation status of oral health resources in Yunnan Province at the end of the 13th Five-Year Plan, providing a scientific basis for the rational resource allocation and formulation regional oral health plan for government health administrative departments. Methods: With the method of general survey, a cross-sectional study was conducted to investigate the allocation of material and human resources of all kinds of stomatological medical institutions registered in the health administrative departments in Yunnan before January 1, 2020. The general situation of oral health resources was analyzed by descriptive statistical analysis. Results: There were 2 712 stomatological medical institutions in Yunnan, 634 public and 2 078 non-public included. The largest number was in Kunming (1 167) and the least in Diqing (19). There were 9 018 dental chairs in total, among which 2 584 in public and 6 434 in non-public. Kunming had the largest number of chairs (3 612) and Nujiang had the least (57). There were 702 oral and maxillofacial surgical beds, all of which were distributed in public. There were 15 148 stomatological personnel, including 3 667 in public and 11 481 in non-public. The average ratio of stomatologist to population was 1∶6 615. Dehong (1∶6 620) was close to this average level, while Kunming (1∶2 283) and Yuxi (1∶4 936) were lower than the average and the other 13 states (cities) were higher. The population ratio of licensed stomatologist was only 1∶9 110. The average ratio of stomatologist to nurses was 1∶0.94. Honghe (1∶1.05), Kunming (1∶1.00), Yuxi (1∶1.18) and Qujing (1∶0.94) was better than or reached the average level, while the other 13 states (cities) were lower than this average. And this ratio in public comprehensive medical institutions was only 1∶0.38. Conclusions: The distribution of oral health resources in Yunnan was unbalanced between public and non-public institutions and among states (cities), mainly distributed in economically developed states (cities) and non-public institutions. For the oral health in Yunnan Province, the workforce was insufficient and the structure was unreasonable, and the proportion of nurses was seriously insufficient in public comprehensive medical institutions.
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Affiliation(s)
- W L Lu
- Department of Second Outpatient, Kunming Medical University School and Hospital of Stomatology, Yunnan Key Laboratory of Stomatology, Kunming 650106, China
| | - Q Sun
- Department of Preventive Dentistry, Kunming Medical University School and Hospital of Stomatology, Yunnan Key Laboratory of Stomatology, Kunming 650106, China
| | - Z C Yin
- Department of Integrated Office, Kunming Medical University School and Hospital of Stomatology, Yunnan Key Laboratory of Stomatology, Kunming 650106, China
| | - Y Yu
- Department of Stomatology, Kunming Maternal and Child Health Hospital, Kunming 650106, China
| | - S N Zhang
- Department of Preventive Dentistry, Kunming Medical University School and Hospital of Stomatology, Yunnan Key Laboratory of Stomatology, Kunming 650106, China
| | - B Xu
- Department of Oral and Maxillofacial Surgery, Kunming Medical University School and Hospital of Stomatology, Yunnan Key Laboratory of Stomatology, Kunming 650106, China
| | - J Liu
- Department of Preventive Dentistry, Kunming Medical University School and Hospital of Stomatology, Yunnan Key Laboratory of Stomatology, Kunming 650106, China
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Zhang K, Liu C, Sadagurski M, Sun Q. Editorial: Environmental stressors and metabolic disease. Front Endocrinol (Lausanne) 2023; 14:1298687. [PMID: 37867520 PMCID: PMC10588619 DOI: 10.3389/fendo.2023.1298687] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 09/27/2023] [Indexed: 10/24/2023] Open
Affiliation(s)
- Kezhong Zhang
- Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, United States
- Department of Biochemistry, Microbiology, and Immunology, Wayne State University School of Medicine, Detroit, MI, United States
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Marianna Sadagurski
- Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, United States
- Department of Biological Sciences, Integrative Biosciences Center, Wayne State University, Detroit, MI, United States
| | - Qinghua Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
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Kaptoge S, Seshasai SRK, Sun L, Walker M, Bolton T, Spackman S, Ataklte F, Willeit P, Bell S, Burgess S, Pennells L, Altay S, Assmann G, Ben-Shlomo Y, Best LG, Björkelund C, Blazer DG, Brenner H, Brunner EJ, Dagenais GR, Cooper JA, Cooper C, Crespo CJ, Cushman M, D'Agostino RB, Daimon M, Daniels LB, Danker R, Davidson KW, de Jongh RT, Donfrancesco C, Ducimetiere P, Elders PJM, Engström G, Ford I, Gallacher I, Bakker SJL, Goldbourt U, de La Cámara G, Grimsgaard S, Gudnason V, Hansson PO, Imano H, Jukema JW, Kabrhel C, Kauhanen J, Kavousi M, Kiechl S, Knuiman MW, Kromhout D, Krumholz HM, Kuller LH, Laatikainen T, Lowler DA, Meyer HE, Mukamal K, Nietert PJ, Ninomiya T, Nitsch D, Nordestgaard BG, Palmieri L, Price JF, Ridker PM, Sun Q, Rosengren A, Roussel R, Sakurai M, Salomaa V, Schöttker B, Shaw JE, Strandberg TE, Sundström J, Tolonen H, Tverdal A, Verschuren WMM, Völzke H, Wagenknecht L, Wallace RB, Wannamethee SG, Wareham NJ, Wassertheil-Smoller S, Yamagishi K, Yeap BB, Harrison S, Inouye M, Griffin S, Butterworth AS, Wood AM, Thompson SG, Sattar N, Danesh J, Di Angelantonio E, Tipping RW, Russell S, Johansen M, Bancks MP, Mongraw-Chaffin M, Magliano D, Barr ELM, Zimmet PZ, Knuiman MW, Whincup PH, Willeit J, Willeit P, Leitner C, Lawlor DA, Ben-Shlomo Y, Elwood P, Sutherland SE, Hunt KJ, Cushman M, Selmer RM, Haheim LL, Ariansen I, Tybjaer-Hansen A, Frikkle-Schmidt R, Langsted A, Donfrancesco C, Lo Noce C, Balkau B, Bonnet F, Fumeron F, Pablos DL, Ferro CR, Morales TG, Mclachlan S, Guralnik J, Khaw KT, Brenner H, Holleczek B, Stocker H, Nissinen A, Palmieri L, Vartiainen E, Jousilahti P, Harald K, Massaro JM, Pencina M, Lyass A, Susa S, Oizumi T, Kayama T, Chetrit A, Roth J, Orenstein L, Welin L, Svärdsudd K, Lissner L, Hange D, Mehlig K, Salomaa V, Tilvis RS, Dennison E, Cooper C, Westbury L, Norman PE, Almeida OP, Hankey GJ, Hata J, Shibata M, Furuta Y, Bom MT, Rutters F, Muilwijk M, Kraft P, Lindstrom S, Turman C, Kiyama M, Kitamura A, Yamagishi K, Gerber Y, Laatikainen T, Salonen JT, van Schoor LN, van Zutphen EM, Verschuren WMM, Engström G, Melander O, Psaty BM, Blaha M, de Boer IH, Kronmal RA, Sattar N, Rosengren A, Nitsch D, Grandits G, Tverdal A, Shin HC, Albertorio JR, Gillum RF, Hu FB, Cooper JA, Humphries S, Hill- Briggs F, Vrany E, Butler M, Schwartz JE, Kiyama M, Kitamura A, Iso H, Amouyel P, Arveiler D, Ferrieres J, Gansevoort RT, de Boer R, Kieneker L, Crespo CJ, Assmann G, Trompet S, Kearney P, Cantin B, Després JP, Lamarche B, Laughlin G, McEvoy L, Aspelund T, Thorsson B, Sigurdsson G, Tilly M, Ikram MA, Dorr M, Schipf S, Völzke H, Fretts AM, Umans JG, Ali T, Shara N, Davey-Smith G, Can G, Yüksel H, Özkan U, Nakagawa H, Morikawa Y, Ishizaki M, Njølstad I, Wilsgaard T, Mathiesen E, Sundström J, Buring J, Cook N, Arndt V, Rothenbacher D, Manson J, Tinker L, Shipley M, Tabak AG, Kivimaki M, Packard C, Robertson M, Feskens E, Geleijnse M, Kromhout D. Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries: 23 million person-years of observation. Lancet Diabetes Endocrinol 2023; 11:731-742. [PMID: 37708900 PMCID: PMC7615299 DOI: 10.1016/s2213-8587(23)00223-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 07/14/2023] [Accepted: 07/14/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND The prevalence of type 2 diabetes is increasing rapidly, particularly among younger age groups. Estimates suggest that people with diabetes die, on average, 6 years earlier than people without diabetes. We aimed to provide reliable estimates of the associations between age at diagnosis of diabetes and all-cause mortality, cause-specific mortality, and reductions in life expectancy. METHODS For this observational study, we conducted a combined analysis of individual-participant data from 19 high-income countries using two large-scale data sources: the Emerging Risk Factors Collaboration (96 cohorts, median baseline years 1961-2007, median latest follow-up years 1980-2013) and the UK Biobank (median baseline year 2006, median latest follow-up year 2020). We calculated age-adjusted and sex-adjusted hazard ratios (HRs) for all-cause mortality according to age at diagnosis of diabetes using data from 1 515 718 participants, in whom deaths were recorded during 23·1 million person-years of follow-up. We estimated cumulative survival by applying age-specific HRs to age-specific death rates from 2015 for the USA and the EU. FINDINGS For participants with diabetes, we observed a linear dose-response association between earlier age at diagnosis and higher risk of all-cause mortality compared with participants without diabetes. HRs were 2·69 (95% CI 2·43-2·97) when diagnosed at 30-39 years, 2·26 (2·08-2·45) at 40-49 years, 1·84 (1·72-1·97) at 50-59 years, 1·57 (1·47-1·67) at 60-69 years, and 1·39 (1·29-1·51) at 70 years and older. HRs per decade of earlier diagnosis were similar for men and women. Using death rates from the USA, a 50-year-old individual with diabetes died on average 14 years earlier when diagnosed aged 30 years, 10 years earlier when diagnosed aged 40 years, or 6 years earlier when diagnosed aged 50 years than an individual without diabetes. Using EU death rates, the corresponding estimates were 13, 9, or 5 years earlier. INTERPRETATION Every decade of earlier diagnosis of diabetes was associated with about 3-4 years of lower life expectancy, highlighting the need to develop and implement interventions that prevent or delay the onset of diabetes and to intensify the treatment of risk factors among young adults diagnosed with diabetes. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health and Care Research, and Health Data Research UK.
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Ge Q, Yang S, Qian Y, Chen J, Yuan W, Li S, Wang P, Li R, Zhang L, Chen G, Kan H, Rajagopalan S, Sun Q, Zheng HF, Jin H, Liu C. Ambient PM2.5 Exposure and Bone Homeostasis: Analysis of UK Biobank Data and Experimental Studies in Mice and in Vitro. Environ Health Perspect 2023; 131:107002. [PMID: 37792558 PMCID: PMC10549986 DOI: 10.1289/ehp11646] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/22/2023] [Accepted: 09/14/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND Previous evidence has identified exposure to fine ambient particulate matter (PM 2.5 ) as a leading risk factor for adverse health outcomes. However, to date, only a few studies have examined the potential association between long-term exposure to PM 2.5 and bone homeostasis. OBJECTIVE We sought to examine the relationship between long-term PM 2.5 exposure and bone health and explore its potential mechanism. METHODS This research included both observational and experimental studies. First, based on human data from UK Biobank, linear regression was used to explore the associations between long-term exposure to PM 2.5 (i.e., annual average PM 2.5 concentration for 2010) and bone mineral density [BMD; i.e., heel BMD (n = 37,440 ) and femur neck and lumbar spine BMD (n = 29,766 )], which were measured during 2014-2020. For the experimental animal study, C57BL/6 male mice were assigned to ambient PM 2.5 or filtered air for 6 months via a whole-body exposure system. Micro-computed tomography analyses were applied to measure BMD and bone microstructures. Biomarkers for bone turnover and inflammation were examined with histological staining, immunohistochemistry staining, and enzyme-linked immunosorbent assay. We also performed tartrate-resistant acid phosphatase (TRAP) staining and bone resorption assay to determine the effect of PM 2.5 exposure on osteoclast activity in vitro. In addition, the potential downstream regulators were assessed by real-time polymerase chain reaction and western blot. RESULTS We observed that long-term exposure to PM 2.5 was significantly associated with lower BMD at different anatomical sites, according to the analysis of UK Biobank data. In experimental study, mice exposed long-term to PM 2.5 exhibited excessive osteoclastogenesis, dysregulated osteogenesis, higher tumor necrosis factor-alpha (TNF- α ) expression, and shorter femur length than control mice, but they demonstrated no significant differences in femur structure or BMD. In vitro, cells stimulated with conditional medium of PM 2.5 -stimulated macrophages had aberrant osteoclastogenesis and differences in the protein/mRNA expression of members of the TNF- α / Traf 6 / c -Fos pathway, which could be partially rescued by TNF- α inhibition. DISCUSSION Our prospective observational evidence suggested that long-term exposure to PM 2.5 is associated with lower BMD and further experimental results demonstrated exposure to PM 2.5 could disrupt bone homeostasis, which may be mediated by inflammation-induced osteoclastogenesis. https://doi.org/10.1289/EHP11646.
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Affiliation(s)
- Qinwen Ge
- Institute of Orthopaedics and Traumatology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, China
| | - Sijia Yang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yu Qian
- Diseases and Population Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Laboratory of Life Sciences and Biomedicine, Westlake University, Hangzhou, China
| | - Jiali Chen
- Institute of Orthopaedics and Traumatology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, China
| | - Wenhua Yuan
- Institute of Orthopaedics and Traumatology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, China
| | - Sanduo Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Pinger Wang
- Institute of Orthopaedics and Traumatology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, China
| | - Ran Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Lu Zhang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Guobo Chen
- Clinical Research Institute, Zhejiang Provincial People’s Hospital, Hangzhou Medical College, Hangzhou, China
| | - Haidong Kan
- College of Public Health, Fudan University, Shanghai, China
| | - Sanjay Rajagopalan
- School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Qinghua Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Hou-Feng Zheng
- Diseases and Population Geninfo Lab, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Laboratory of Life Sciences and Biomedicine, Westlake University, Hangzhou, China
| | - Hongting Jin
- Institute of Orthopaedics and Traumatology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
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Yan WW, Xu JY, Li LN, Lyu R, Shou LH, Sun Q, Wang HJ, Qiu LG, An G. [Angioimmunoblastic T-cell lymphoma with monoclonal B cell and plasma cell hyperplasia]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:783-786. [PMID: 38049326 PMCID: PMC10630570 DOI: 10.3760/cma.j.issn.0253-2727.2023.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Indexed: 12/06/2023]
Affiliation(s)
- W W Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J Y Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L N Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - R Lyu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L H Shou
- Department of Hematology, Huzhou Central Hospital, Huzhou 313000, China
| | - Q Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - H J Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L G Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - G An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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Wu J, Duan J, Li J, Liu Z, Sun Q, Zhang R, Handique U. First Report of Streptomyces niveiscabiei Causing Potato Common Scab in Shanxi and Gansu, China. Plant Dis 2023. [PMID: 37682221 DOI: 10.1094/pdis-06-23-1039-pdn] [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] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
Multiple species of Streptomyces cause common scab disease in potato (Solanum tuberosum) (Kämpfer et al. 1991). Potato tubers (cv. Jinshu1 #5 and Longshu #6) with severe pitted common scab symptoms were observed from two farms in Chaozhou in Shanxi Province and in Tianzhu in Gansu Province during the national disease survey of bacterial diseases of potatoes in 2021. The disease incidence was around 30% on the 6.7 ha of the Chaozhou farm and 10% on the 0.7 ha on the Tianzhu farm. Three tubers with scab symptoms were surface disinfested with 3% sodium hypochlorite for 1 min. The symptomatic tissue was then ground in sterile water. Serially diluted ground samples were cultured on Streptomyces ISP Medium 5 agar plates (Shirling and Gottlieb 1966) and incubated at 280C for 5 days. Eight pure Streptomyces colonies were obtained and sequenced for identification using the universal 16S rRNA gene primers 27F (5'-AGAGTTTGATCMTGGCTCAG-3') and 1492R (5'-TACGGYTACCTTGTTACGACTT-3') (Monciardini et al. 2002) by colony PCR. Blast results of the sequences against the NCBI GenBank for the eight isolates, ZRIMU1508, ZRIMU1510, ZRIMU1511, ZRIMU1512, ZRIMU1514, ZRIMU1515, ZRIMU1516 and ZRIMU1530 (Accession numbers: OP941573 - OP941580), showed more than 99% sequence identity to S. niveiscabiei NRRLB-24457T type strain. Additionally, 12 housekeeping gene sequences, acnA (OP997624 - OP997625), atpD (OP997622 - OP997623), dnaN (OP997620 - OP997621), gap (OP997618 - OP997619), gyrA (OP997614 - OP997615), gyrB (OP997612 - OP997613), infB (OP997610- OP997611), mdh (OP997608 - OP997609), recA (OP997602 - OP997603), rplB (OP997600 - OP997601), rpoB (OP997598- OP997599), and trpB (OP997594 - OP997595), were extracted from the genome sequences of two strains, ZRIMU1510 and ZRIMU1530, and uploaded to GenBank. Genes for pathogenicity, txtA (OP997593 - OP997594), tomA (OP997596 - OP997597) and Nec1(OP997606 - OP997607), were also identified from the genome sequence and uploaded to GenBank. The housekeeping genes and the pathogenicity genes showed over 98% identity with S. niveiscabiei. Phylogenetic trees were constructed using concatenated housekeeping gene sequences (Kumar et al. 1994) and the cladogram showed that the isolates ZRIMU1510 and ZRIMU1530 grouped with the type strain NRRLB-24457T. Pathogenicity tests were done by drench application of 100 ml spore suspensions (104 CFU/ml) of ZRIMU1530, ZRIMU1510, or phosphate buffer into pots with potato plants (cv. Favorita) grown in potting mix. Five tubers were planted and inoculated with each pathogen or phosphate buffer as the negative control. The plants were then placed in a greenhouse with 12 h of light per day, irrigated regularly, and harvested after 3 months. The newly formed tubers were checked for disease symptoms. Tubers from pots inoculated with ZRIMU1530 and ZRIMU1510 exhibited typical symptoms of common scab with raised corky lesions with deep pits, but the negative controls remained asymptomatic. The pathogens were reisolated from the lesions and confirmed to be identical to the original isolates by 16S rRNA gene sequences, thus completing Koch's postulates. The pot experiment was conducted twice: first in May 2022 and second in February 2023. To our knowledge, this is the first report of S. niveiscabiei causing common scab of potato in Shanxi and Gansu, China. S. niveiscabiei was first reported in Korea (Park et al. 2003) and this report will draw attention to the study and management of scab pathogens in China.
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Affiliation(s)
- Jian Wu
- Inner Mongolia University, 12576, Inner Mongolia Potato Engineering & Technology Research Center, hohhot, Hohhot, Inner Mongolia, China, 021000;
| | - Jia Duan
- Inner Mongolia University, 12576, Inner Mongolia Potato Engineering & Technology Research Center, Hohhot, Inner Mongolia, China;
| | - Jeef Li
- Dingxi Potato Research Center, Dingxi, Gansu Province, China;
| | - Ziwei Liu
- Inner Mongolia University, 12576, Inner Mongolia Potato Engineering & Technology Research Center, Hohhot, Inner Mongolia, China;
| | - Qinghua Sun
- Inner Mongolia University, 12576, Inner Mongolia Potato Engineering & Technology Research Center, Hohhot, Inner Mongolia, China;
| | - Ruofang Zhang
- Inner Mongolia University, 12576, Inner Mongolia Potato Engineering & Technology Research Center, Hohhot, Inner Mongolia, China;
| | - Utpal Handique
- Inner Mongolia University, 12576, Inner Mongolia Potato Engineering & Technology Research Center, Neishida Jiashuqu Dongqu, #26-1-103, Hohhot, Hohhot, Inner Mongolia, China, 010021
- university of arizona, 1145 e 4th street, United States;
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Hou G, Sun Q, Gong SJ, Zhu P, Hao YG. [A case report of death from toxic encephalopathy caused by emamectin·chlorfenapyr]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:629-631. [PMID: 37667163 DOI: 10.3760/cma.j.cn121094-20221011-00492] [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: 09/06/2023]
Abstract
Emamectin·chlorfenapyr is insecticide compounded by emamectin benzoate and chlorfenapyr. There is no special antidote after poisoning, and the mortality rate of patients is very high. We admitted a case of toxic encephalopathy caused by oral administration of emamectin·chlorfenapyr. The clinical manifestations of patient were gastrointestinal symptoms, profuse sweating, high fever, changes in consciousness. After admitted to the hospital, despite active comprehensive treatment, the patient died of ineffective rescue eventually.
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Affiliation(s)
- G Hou
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - Q Sun
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - S J Gong
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - P Zhu
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - Y G Hao
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
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Guo Q, Sun Q, Bian X, Wang M, Dong H, Yin H, Dai X, Fan G, Chen G. Development and validation of a multiphase CT radiomics nomogram for the preoperative prediction of lymphovascular invasion in patients with gastric cancer. Clin Radiol 2023; 78:e552-e559. [PMID: 37117048 DOI: 10.1016/j.crad.2023.03.016] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 03/13/2023] [Accepted: 03/22/2023] [Indexed: 04/30/2023]
Abstract
AIM To develop a nomogram to predict lymphovascular invasion (LVI) in gastric cancer by integrating multiphase computed tomography (CT) radiomics and clinical risk factors. MATERIALS AND METHODS One hundred and seventy-two gastric cancer patients (121 training and 51 validation) with preoperative contrast-enhanced CT images and clinicopathological data were collected retrospectively. The clinical risk factors were selected by univariate and multivariate regression analysis. Radiomic features were extracted and selected from the arterial phase (AP), venous phase (VP), and delayed phase (DP) CT images of each patient. Clinical risk factors, radiomic features, and integration of both were used to develop the clinical model, radiomic models, and nomogram, respectively. RESULTS Radiomic features from AP (n=6), VP (n=6), DP (n=7) CT images and three selected clinical risk factors were used for model development. The nomogram showed better performance than the AP, VP, DP, and clinical models in the training and validation datasets, providing areas under the curves (AUCs) of 0.890 (95% CI: 0.820-0.940) and 0.885 (95% CI:0.765-0.957), respectively. All models indicated good calibration, and decision curve analysis proved that the net benefit of the nomogram was superior to that of the clinical and radiomic models throughout the vast majority of the threshold probabilities. CONCLUSIONS The nomogram integrating multiphase CT radiomics and clinical risk factors showed favourable performance in predicting LVI of gastric cancer, which may benefit clinical practice.
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Affiliation(s)
- Q Guo
- Department of Radiology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, Suzhou, Jiangsu, 215004, China
| | - Q Sun
- Department of Radiology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, Suzhou, Jiangsu, 215004, China
| | - X Bian
- Department of Radiology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, Suzhou, Jiangsu, 215004, China
| | - M Wang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, Suzhou, Jiangsu, 215004, China
| | - H Dong
- Department of Radiology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, Suzhou, Jiangsu, 215004, China
| | - H Yin
- Institute of Advanced Research, Beijing Infervision Technology Co., Ltd, Beijing, China
| | - X Dai
- Department of Pathology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, Suzhou, Jiangsu, 215004, China
| | - G Fan
- Department of Radiology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, Suzhou, Jiangsu, 215004, China
| | - G Chen
- Department of Radiology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, Suzhou, Jiangsu, 215004, China.
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Luo K, Zheng JH, Zhu ZQ, Sun Q, Shen J, Zhang H. [Coronary artery bypass grafting surgery for treatment of an infant with Kawasaki disease: a case report]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:772-775. [PMID: 37460432 DOI: 10.3760/cma.j.cn112148-20230202-00059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Affiliation(s)
- K Luo
- Department of Cardio-Thoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, National Children's Medical Center, Shanghai 200127, China
| | - J H Zheng
- Department of Cardio-Thoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, National Children's Medical Center, Shanghai 200127, China
| | - Z Q Zhu
- Department of Cardio-Thoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, National Children's Medical Center, Shanghai 200127, China
| | - Q Sun
- Department of Cardio-Thoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, National Children's Medical Center, Shanghai 200127, China
| | - J Shen
- Department of Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, National Children's Medical Center, Shanghai 200127, China
| | - H Zhang
- Department of Cardio-Thoracic Surgery, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, National Children's Medical Center, Shanghai 200127, China Shanghai Institution of Pediatric Congenital Heart Disease, Shanghai 200127, China
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Sun Q, Chen C, Wang Q, Li T. Early Warning Interventions for Environmental Risk Factors at China CDC. China CDC Wkly 2023; 5:651-654. [PMID: 37529142 PMCID: PMC10388181 DOI: 10.46234/ccdcw2023.125] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 07/10/2023] [Indexed: 08/03/2023] Open
Affiliation(s)
- Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qing Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
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Sun Q, Liu T, Wen T, Yu J. Porous carbon tubes from recycling waste COVID-19 masks for optimization of 8 mol% Y 2O 3-doped tetragonal zirconia polycrystalline nanopowder. Mater Today Chem 2023; 30:101526. [PMID: 37131408 PMCID: PMC10139347 DOI: 10.1016/j.mtchem.2023.101526] [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] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 02/18/2023] [Accepted: 03/23/2023] [Indexed: 05/04/2023]
Abstract
Disposable polypropylene medical masks are widely used to protect people from injury caused by COVID-19 worldwide. However, disposable medical masks are non-biodegradable materials, and the accumulation of waste masks can pollute the environment and waste resources without a reasonable recycling method. The aims of this study are to transform waste masks into carbon materials and to use them as a dispersant in preparing high-quality 8 mol% Y2O3-doped tetragonal zirconia nanopowders. The waste masks were carbonized to get a carbon source in the first step, then KOH was used to etch the carbon source creating a micropores structure in the carbon material after the carbon-bed heat treatment method. The resulting carbon material is a porous tube structure with a high specific surface area (1220.34 m2/g) and adsorption capacity. The as-obtained porous carbon tubes were applied as a dispersant to produce 8 mol% Y2O3-doped tetragonal zirconia nanopowders, and the resulting nanopowders owned well-dispersed and had the smallest particle size than that prepared by activated carbon as a dispersant. Besides, the sintered 8 mol% Y2O3-doped tetragonal zirconia ceramic possessed high density, which resulted in higher ionic conductivity. These findings suggest that waste face masks can be recycled to prepare high-added-value carbon materials and provide a green and low-cost method to reuse polypropylene waste materials.
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Affiliation(s)
- Q Sun
- School of Metallurgy, Northeastern University, Shenyang, 110819, PR China
| | - T Liu
- School of Metallurgy, Northeastern University, Shenyang, 110819, PR China
| | - T Wen
- School of Metallurgy, Northeastern University, Shenyang, 110819, PR China
| | - J Yu
- School of Metallurgy, Northeastern University, Shenyang, 110819, PR China
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37
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Aguilar M, Ali Cavasonza L, Alpat B, Ambrosi G, Arruda L, Attig N, Bagwell C, Barao F, Barrin L, Bartoloni A, Başeğmez-du Pree S, Battiston R, Belyaev N, Berdugo J, Bertucci B, Bindi V, Bollweg K, Bolster J, Borchiellini M, Borgia B, Boschini MJ, Bourquin M, Bueno EF, Burger J, Burger WJ, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen H, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Faldi F, Feng J, Fiandrini E, Fisher P, Formato V, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grabski V, Grandi D, Graziani M, Guracho AN, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Huang BW, Incagli M, Jang WY, Jia Y, Jinchi H, Karagöz G, Khiali B, Kim GN, Kirn T, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, LaVecchia G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li M, Li Q, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo SD, Luo X, Machate F, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Mikhailov VV, Molero M, Mott P, Mussolin L, Negrete J, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Ottupara MA, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Reina Conde A, Robyn E, Romaneehsen L, Rozhkov A, Rozza D, Sagdeev R, Schael S, Schultz von Dratzig A, Schwering G, Seo ES, Shan BS, Siedenburg T, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Tian Y, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Wu Y, Xiao JN, Xiong RQ, Xiong XZ, Xu W, Yan Q, Yang HT, Yang Y, Yashin II, Yelland A, Yi H, You YH, Yu YM, Yu ZQ, Zannoni M, Zhang C, Zhang F, Zhang FZ, Zhang J, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Properties of Cosmic-Ray Sulfur and Determination of the Composition of Primary Cosmic-Ray Carbon, Neon, Magnesium, and Sulfur: Ten-Year Results from the Alpha Magnetic Spectrometer. Phys Rev Lett 2023; 130:211002. [PMID: 37295095 DOI: 10.1103/physrevlett.130.211002] [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: 02/09/2023] [Revised: 03/28/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
We report the properties of primary cosmic-ray sulfur (S) in the rigidity range 2.15 GV to 3.0 TV based on 0.38×10^{6} sulfur nuclei collected by the Alpha Magnetic Spectrometer experiment (AMS). We observed that above 90 GV the rigidity dependence of the S flux is identical to the rigidity dependence of Ne-Mg-Si fluxes, which is different from the rigidity dependence of the He-C-O-Fe fluxes. We found that, similar to N, Na, and Al cosmic rays, over the entire rigidity range, the traditional primary cosmic rays S, Ne, Mg, and C all have sizeable secondary components, and the S, Ne, and Mg fluxes are well described by the weighted sum of the primary silicon flux and the secondary fluorine flux, and the C flux is well described by the weighted sum of the primary oxygen flux and the secondary boron flux. The primary and secondary contributions of the traditional primary cosmic-ray fluxes of C, Ne, Mg, and S (even Z elements) are distinctly different from the primary and secondary contributions of the N, Na, and Al (odd Z elements) fluxes. The abundance ratio at the source for S/Si is 0.167±0.006, for Ne/Si is 0.833±0.025, for Mg/Si is 0.994±0.029, and for C/O is 0.836±0.025. These values are determined independent of cosmic-ray propagation.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Ali Cavasonza
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - B Alpat
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - C Bagwell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - S Başeğmez-du Pree
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - R Battiston
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - N Belyaev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - J Bolster
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Borchiellini
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - E F Bueno
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Chen
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Dass
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Faldi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Feng
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - V Grabski
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | | | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - B W Huang
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - W Y Jang
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Türkiye
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - G N Kim
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Koutsenko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - G LaVecchia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - I Lazzizzera
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - M Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - S D Luo
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - F Machate
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - V V Mikhailov
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - M Molero
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - N Nikonov
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | | | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M A Ottupara
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | | | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - L Romaneehsen
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Y Tian
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - Y Wu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J N Xiao
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - X Z Xiong
- Zhejiang University (ZJU), Hangzhou 310058, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H T Yang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - I I Yashin
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - A Yelland
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y H You
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - M Zannoni
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Zhang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
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Qu SQ, Pan LJ, Qin TJ, Xu ZF, Li B, Wang HJ, Sun Q, Jia YJ, Li CW, Cai WY, Gao QY, Jiao M, Xiao ZJ. [Molecular features of 109 patients with chronic myelomonocytic leukemia in a single center]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:373-379. [PMID: 37550186 PMCID: PMC10440619 DOI: 10.3760/cma.j.issn.0253-2727.2023.05.004] [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] [Grants] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Indexed: 08/09/2023]
Abstract
Objective: To explore the molecular features of chronic myelomonocytic leukemia (CMML) . Methods: According to 2022 World Health Organization (WHO 2022) classification, 113 CMML patients and 840 myelodysplastic syndrome (MDS) patients from March 2016 to October 2021 were reclassified, and the clinical and molecular features of CMML patients were analyzed. Results: Among 113 CMML patients, 23 (20.4%) were re-diagnosed as acute myeloid leukemia (AML), including 18 AML with NPM1 mutation, 3 AML with KMT2A rearrangement, and 2 AML with MECOM rearrangement. The remaining 90 patients met the WHO 2022 CMML criteria. In addition, 19 of 840 (2.3%) MDS patients met the WHO 2022 CMML criteria. At least one gene mutation was detected in 99% of CMML patients, and the median number of mutations was 4. The genes with mutation frequency ≥ 10% were: ASXL1 (48%), NRAS (34%), RUNX1 (33%), TET2 (28%), U2AF1 (23%), SRSF2 (21.1%), SETBP1 (20%), KRAS (17%), CBL (15.6%) and DNMT3A (11%). Paired analysis showed that SRSF2 was frequently co-mutated with ASXL1 (OR=4.129, 95% CI 1.481-11.510, Q=0.007) and TET2 (OR=5.276, 95% CI 1.979-14.065, Q=0.001). SRSF2 and TET2 frequently occurred in elderly (≥60 years) patients with myeloproliferative CMML (MP-CMML). U2AF1 mutations were often mutually exclusive with TET2 (OR=0.174, 95% CI 0.038-0.791, Q=0.024), and were common in younger (<60 years) patients with myelodysplastic CMML (MD-CMML). Compared with patients with absolute monocyte count (AMoC) ≥1×10(9)/L and <1×10(9)/L, the former had a higher median age of onset (60 years old vs 47 years old, P<0.001), white blood cell count (15.9×10(9)/L vs 4.4×10(9)/L, P<0.001), proportion of monocytes (21.5% vs 15%, P=0.001), and hemoglobin level (86 g/L vs 74 g/L, P=0.014). TET2 mutations (P=0.021) and SRSF2 mutations (P=0.011) were more common in patients with AMoC≥1×10(9)/L, whereas U2AF1 mutations (P<0.001) were more common in patients with AMoC<1×10(9)/L. There was no significant difference in the frequency of other gene mutations between the two groups. Conclusion: According to WHO 2022 classification, nearly 20% of CMML patients had AMoC<1×10(9)/L at the time of diagnosis, and MD-CMML and MP-CMML had different molecular features.
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Affiliation(s)
- S Q Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L J Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - T J Qin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z F Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - B Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - H J Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Q Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Y J Jia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - C W Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - W Y Cai
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Q Y Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - M Jiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z J Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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Cui CH, Chang YN, Zhou J, Li CW, Wang HJ, Sun Q, Jia YJ, Li QH, Wang TY, Qiu LG, Yi SH. [Clinical characteristics of 11 patients with chronic lymphocytic leukemia with t (14;19) (q32;q13)]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:418-423. [PMID: 37550193 PMCID: PMC10440617 DOI: 10.3760/cma.j.issn.0253-2727.2023.05.011] [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] [Grants] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Indexed: 08/09/2023]
Abstract
Objective: To analyze the clinicopathological characteristics of 11 cases of chronic lymphocytic leukemia (CLL) with t (14;19) (q32;q13) . Methods: The case data of 11 patients with CLL with t (14;19) (q32;q13) in the chromosome karyotype analysis results of the Blood Diseases Hospital, Chinese Academy of Medical Sciences from January 1, 2018, to July 30, 2022, were retrospectively analyzed. Results: In all 11 patients, t (14;19) (q32;q13) involved IGH::BCL3 gene rearrangement, and most of them were accompanied by +12 or complex karyotype. An immunophenotypic score of 4-5 was found in 7 patients and 3 in 4 cases. We demonstrated that CLLs with t (14;19) (q32;q13) had a mutational pattern with recurrent mutations in NOTCH1 (3/7), FBXW7 (3/7), and KMT2D (2/7). The very-high-risk, high-risk, intermediate-risk, and low-risk groups consisted of 1, 1, 6, and 3 cases, respectively. Two patients died, 8 survived, and 2 were lost in follow-up. Four patients had disease progression or relapse during treatment. The median time to the first therapy was 1 month. Conclusion: t (14;19) (q32;q13), involving IGH::BCL3 gene rearrangement, is a rare recurrent cytogenetic abnormality in CLL, which is associated with a poor prognosis.
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Affiliation(s)
- C H Cui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y N Chang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - C W Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H J Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Q Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y J Jia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Q H Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - T Y Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L G Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - S H Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Xu AD, Fu Y, Pu XH, Wu HY, Sun Q, Fan XS. [Clinicopathological features of gastric carcinomas with NTRK-rearrangement/amplification: report of four cases]. Zhonghua Bing Li Xue Za Zhi 2023; 52:454-459. [PMID: 37106286 DOI: 10.3760/cma.j.cn112151-20221008-00840] [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: 04/29/2023]
Abstract
Objective: To investigate the clinicopathological, immunohistochemical and molecular genetic characteristics of gastric carcinoma with NTRK-rearrangement/amplification. Methods: The clinicopathological data of gastric carcinoma cases with NTRK-rearrangement/amplification diagnosed from January 2011 to September 2020 at the Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, China, were collected. The clinicopathological, immunophenotypic and molecular pathological features were analyzed. The relevant literature was reviewed. Results: There were 4 cases of gastric carcinoma with NTRK-rearrangement/amplification. All 4 patients were male, aged 57-67 years (average, 63 years). Tumor sizes ranged from 3.5 to 5.2 cm (average, 4.8 cm). All tumors were in the antrum. All 4 patients underwent radical gastrectomy and were followed up after the surgery. Morphologically, all tumors showed histological features with enteroblastic-differentiated gastric carcinoma. Tumor cells showed predominantly tubular/papillary architecture, with conspicuous vesicular nuclei and pale staining or transparent cytoplasm. Immunohistochemistry showed pan-TRK expression in all cases, with various degrees of positivity in the cytoplasm. All cases were subject to NTRK1/2/3 detection using fluorescence in situ hybridization. There were NTRK translocations in 2 cases and NTRK amplifications in 2 cases. These cases were further verified by RNAseq next generation sequencing which confirmed that NTRK1 gene translocation (TPM3-NTRK1) and NTRK2 gene translocation (NTRK2-SMCHD1) occurred in two cases, respectively. Conclusions: NTRK mutation occurs less frequently in gastric cancer. In this study, the cases mainly occur in the antrum. The morphology has the characteristics of enteroblastic differentiation. The tumors have unique histological, immunophenotypic and molecular characteristics, which require much attention from pathologists to effectively guide clinicians to choose the best treatment.
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Affiliation(s)
- A D Xu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Y Fu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - X H Pu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - H Y Wu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Sun
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - X S Fan
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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Hu R, Zhang L, Qin L, Ding H, Li R, Gu W, Chen R, Zhang Y, Rajagoplan S, Zhang K, Sun Q, Liu C. Airborne PM 2.5 pollution: A double-edged sword modulating hepatic lipid metabolism in middle-aged male mice. Environ Pollut 2023; 324:121347. [PMID: 36858098 DOI: 10.1016/j.envpol.2023.121347] [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] [Received: 01/14/2023] [Revised: 02/19/2023] [Accepted: 02/22/2023] [Indexed: 06/18/2023]
Abstract
Emerging evidence suggests that exposure to airborne fine particulate matter (PM2.5) is closely related to disturbances in hepatic lipid metabolism. However, no systematic study assessed the age vulnerability in effects of PM2.5 exposure on metabolism, and the potential mechanisms remain unknown. This study aimed to investigate the metabolic susceptibility of different life stages to PM2.5 exposure, and to evaluate the underlying molecular mechanisms. Male C57BL/6 mice at three life phases (young, adult, and middle-aged) were exposed simultaneously to concentrated ambient PM2.5 or filtered air (FA) for 8 weeks using a whole-body inhalational exposure system. The average daily PM2.5 concentrations to which mice were actually exposed were 90.71 ± 7.99 μg/m3. The body weight, total food utilization, body composition, glucose metabolic homeostasis of the mice were evaluated. At euthanasia, serum and liver samples were collected to measure lipid profiles and hepatic function. H&E and Oil Red O staining were used to assess the liver cellular structure and hepatic lipid deposition. Transcriptomics and lipidomics were performed to determine the differentially expressed genes and lipid metabolites in the liver. Quantitative RT-PCR and immunoblots were performed to verify the transcriptomics and explore the mechanism for metabolic susceptibility. PM2.5 exposure led to reductions in body weight gain, total food utilization, and fat mass in middle-aged mice but not in young or adults. Exposure to PM2.5 reduced hepatic lipid deposition by enhancing lipolysis and inhibiting the glycerol-3-phosphate (G3P) pathway of hepatic lipogenesis. Furthermore, PM2.5 exposure attenuated hepatic fatty acid metabolism and primary bile acid biosynthesis. Finally, PM2.5 exposure dysregulated hepatic phospholipid metabolism, as evidenced by increased glycerophospholipid synthesis and disturbed sphingolipid metabolism. Therefore, middle-aged male mice were more vulnerable to PM2.5 exposure with double-edged effects, improved metabolism and hepatic TG accumulation but inhibited hepatic fatty acid and bile acid metabolism and dysregulated phospholipid metabolism.
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Affiliation(s)
- Renjie Hu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, Zhejiang, China.
| | - Lu Zhang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, Zhejiang, China.
| | - Li Qin
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, Zhejiang, China.
| | - Hao Ding
- Eco-Environmental Science Research and Design Institute of Zhejiang Province, Hangzhou, Zhejiang, China.
| | - Ran Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, Zhejiang, China.
| | - Weijia Gu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, Zhejiang, China.
| | - Rucheng Chen
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, Zhejiang, China.
| | - Yunhui Zhang
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China.
| | - Sanjay Rajagoplan
- Harrington Heart and Vascular Institute, University Hospital Cleveland Medical Center, Cleveland, OH, USA.
| | - Kezhong Zhang
- Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, USA.
| | - Qinghua Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, Zhejiang, China.
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, Zhejiang, China.
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Aguilar M, Cavasonza LA, Ambrosi G, Arruda L, Attig N, Bagwell C, Barao F, Barrin L, Bartoloni A, Başeğmez-du Pree S, Battiston R, Behlmann M, Belyaev N, Berdugo J, Bertucci B, Bindi V, Bollweg K, Bolster J, Borgia B, Boschini MJ, Bourquin M, Bueno EF, Burger J, Burger WJ, Burmeister S, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Faldi F, Feng J, Fiandrini E, Fisher P, Formato V, Freeman C, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grabski V, Grandi D, Graziani M, Guracho AN, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Incagli M, Jang WY, Jia Y, Jinchi H, Karagöz G, Khiali B, Kim GN, Kirn T, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, LaVecchia G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Light C, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo X, Machate F, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Mikhailov VV, Molero M, Mott P, Mussolin L, Negrete J, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Pohl M, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Conde AR, Robyn E, Rosier-Lees S, Rozhkov A, Rozza D, Sagdeev R, Schael S, von Dratzig AS, Schwering G, Seo ES, Shan BS, Siedenburg T, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Xiong RQ, Xu W, Yan Q, Yang Y, Yashin II, Yelland A, Yi H, Yu YM, Yu ZQ, Zannoni M, Zhang C, Zhang F, Zhang FZ, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Temporal Structures in Electron Spectra and Charge Sign Effects in Galactic Cosmic Rays. Phys Rev Lett 2023; 130:161001. [PMID: 37154630 DOI: 10.1103/physrevlett.130.161001] [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: 09/22/2022] [Revised: 11/21/2022] [Accepted: 02/09/2023] [Indexed: 05/10/2023]
Abstract
We present the precision measurements of 11 years of daily cosmic electron fluxes in the rigidity interval from 1.00 to 41.9 GV based on 2.0×10^{8} electrons collected with the Alpha Magnetic Spectrometer (AMS) aboard the International Space Station. The electron fluxes exhibit variations on multiple timescales. Recurrent electron flux variations with periods of 27 days, 13.5 days, and 9 days are observed. We find that the electron fluxes show distinctly different time variations from the proton fluxes. Remarkably, a hysteresis between the electron flux and the proton flux is observed with a significance of greater than 6σ at rigidities below 8.5 GV. Furthermore, significant structures in the electron-proton hysteresis are observed corresponding to sharp structures in both fluxes. This continuous daily electron data provide unique input to the understanding of the charge sign dependence of cosmic rays over an 11-year solar cycle.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Ali Cavasonza
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - C Bagwell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - S Başeğmez-du Pree
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - R Battiston
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - M Behlmann
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Belyaev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - J Bolster
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - E F Bueno
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - S Burmeister
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Dass
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - L Derome
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Faldi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Feng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Freeman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - V Grabski
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | | | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou, 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - W Y Jang
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - G N Kim
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Koutsenko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - G LaVecchia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - I Lazzizzera
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Light
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - F Machate
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - V V Mikhailov
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - M Molero
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - N Nikonov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pohl
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | | | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Rosier-Lees
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - I I Yashin
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - A Yelland
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - M Zannoni
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Trento, Italy
- Università di Trento, 38123 Trento, Italy
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Ma Y, Zou L, Liang Y, Liu Q, Sun Q, Pang Y, Lin H, Deng X, Tang S. [Rapid detection and genotyping of SARS-CoV-2 Omicron BA.4/5 variants using a RT-PCR and CRISPR-Cas12a-based assay]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:516-526. [PMID: 37202186 DOI: 10.12122/j.issn.1673-4254.2023.04.03] [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: 05/20/2023]
Abstract
OBJECTIVE To establish a rapid detection and genotyping method for SARS-CoV-2 Omicron BA.4/5 variants using CRISPPR-Cas12a gene editing technology. METHODS We combined reverse transcription-polymerase chain reaction (RT-PCR) and CRISPR gene editing technology and designed a specific CRISPPR RNA (crRNA) with suboptimal protospacer adjacent motifs (PAM) for rapid detection and genotyping of SARS- CoV-2 Omicron BA.4/5 variants. The performance of this RT- PCR/ CRISPPR-Cas12a assay was evaluated using 43 clinical samples of patients infected by wild-type SARS-CoV-2 and the Alpha, Beta, Delta, Omicron BA. 1 and BA. 4/5 variants and 20 SARS- CoV- 2-negative clinical samples infected with 11 respiratory pathogens. With Sanger sequencing method as the gold standard, the specificity, sensitivity, concordance (Kappa) and area under the ROC curve (AUC) of RT-PCR/CRISPPR-Cas12a assay were calculated. RESULTS This assay was capable of rapid and specific detection of SARS- CoV-2 Omicron BA.4/5 variant within 30 min with the lowest detection limit of 10 copies/μL, and no cross-reaction was observed in SARS-CoV-2-negative clinical samples infected with 11 common respiratory pathogens. The two Omicron BA.4/5 specific crRNAs (crRNA-1 and crRNA-2) allowed the assay to accurately distinguish Omicron BA.4/5 from BA.1 sublineage and other major SARS-CoV-2 variants of concern. For detection of SARS-CoV-2 Omicron BA.4/5 variants, the sensitivity of the established assay using crRNA-1 and crRNA-2 was 97.83% and 100% with specificity of 100% and AUC of 0.998 and 1.000, respectively, and their concordance rate with Sanger sequencing method was 92.83% and 96.41%, respectively. CONCLUSION By combining RT-PCR and CRISPPR-Cas12a gene editing technology, we successfully developed a new method for rapid detection and identification of SARS-CoV-2 Omicron BA.4/5 variants with a high sensitivity, specificity and reproducibility, which allows rapid detection and genotyping of SARS- CoV-2 variants and monitoring of the emerging variants and their dissemination.
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Affiliation(s)
- Y Ma
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - L Zou
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Guangzhou 511430, China
| | - Y Liang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Q Liu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Q Sun
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Y Pang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - H Lin
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - X Deng
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Guangzhou 511430, China
| | - S Tang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Zeng X, Liu D, Wu Y, Zhang L, Chen R, Li R, Gu W, Zhang L, Liu C, Sun Q. Heavy metal risk of disposable food containers on human health. Ecotoxicol Environ Saf 2023; 255:114797. [PMID: 36933486 DOI: 10.1016/j.ecoenv.2023.114797] [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] [Received: 10/21/2022] [Revised: 02/05/2023] [Accepted: 03/15/2023] [Indexed: 06/18/2023]
Abstract
The consumption of disposable materials is booming with the rapid development of urbanization and industrialization, which may inevitably cause the release of toxic and harmful substances during use of them in daily life. This study was to estimate element levels such as Beryllium (Be), Vanadium (V), Zinc (Zn), Manganese (Mn), Cadmium (Cd), Chromium (Cr), Nickel (Ni), Cobalt (Co), Antimony (Sb), Barium (Ba), Lead (Pb), Iron (Fe), Copper (Cu), and Selenium (Se) in leachate and subsequently assess the health risk of exposure to those disposable products such as paper and plastic food containers. We found that a large amount of metals was released from disposable food containers in hot water, and the order of metal concentration is Zn > Ba > Fe > Mn > Ni > Cu > Sb > Cr > Se > Be > Pb > Co > V > Cd. Additionally, the hazard quotient (HQ) of metals in young adults were less than 1, and were decreased in the order of Sb > Fe > Cu > Be > Ni > Cr > Pb > Zn > Se > Cd > Ba > Mn > V > Co. Furthermore, the excess lifetime cancer risk (ELCR) results of Ni and Be indicated that chronic exposure to Ni and Be may have a non-negligible carcinogenic risk. These findings suggest that potential health risk of metals may exist for the individuals to use disposable food containers under high temperature environment.
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Affiliation(s)
- Xiang Zeng
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China.
| | - Dongling Liu
- School of Basic Medical Science, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China
| | - Yue Wu
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China
| | - Lina Zhang
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China
| | - Rucheng Chen
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China
| | - Ran Li
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China
| | - Weijia Gu
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China
| | - Lu Zhang
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China
| | - Qinghua Sun
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, Zhejiang Province, China.
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Zheng XB, He YF, Wang L, Sun Q, Shen XN, Wu XC, Yang JH, Yao L, Cui HY, Xu B, Yu FY, Sha W. [Analysis of time for diagnosis of nontuberculous mycobacterial lung disease and its associated factors in a tuberculosis-designated hospital in Shanghai]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:380-387. [PMID: 36990702 DOI: 10.3760/cma.j.cn112147-20230111-00018] [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: 03/31/2023]
Abstract
Objective: To investigate the pathogenic characteristics, bacteriological diagnosis time and its associated factors among patients with nontuberculous mycobacterial (NTM) lung disease in a large tuberculosis-designated hospital in Shanghai from 2020 to 2021, in order to improve diagnosis efficiency and formulate precision treatment. Methods: On the basis of the Tuberculosis Database in Shanghai Pulmonary Hospital, NTM patients diagnosed by the Department of Tuberculosis between January 2020 and December 2021 were screened. Demographic, clinical and bacterial information were retrospectively collected. Chi-square test, paired-sample nonparametric test and logistic regression model were used to analyze the factors associated with the diagnosis time of NTM lung disease. Results: A total of 294 patients with bacteriologically confirmed NTM lung disease were included in this study, 147 males and 147 females with a median age of 61(46, 69) years. Of them, 227 (77.2%) patients had comorbidity of bronchiectasis. Species identification results showed that Mycobacterium Avium-Intracellulare Complex was the main pathogen of NTM lung disease (56.1%), followed by Mycobacterium kansasii (19.0%) and Mycobacterium abscessus (15.3%). Species such as Mycobacterium xenopi and Mycobacterium malmoense were rarely identified, accounting for a total proportion of only 3.1%. Positive culture rates for sputum, bronchoalveolar lavage fluid and puncture fluid were 87.4%, 80.3% and 61.5%, respectively. Paired-sample analysis showed that the positive rate of sputum culture was significantly higher than that of smear microscopy (87.1% vs. 48.4%, P<0.01), while no statistical difference was observed between sputum and bronchoalveolar lavage fluid on positive culture rate (78.7% vs. 77.3%, P>0.05). Patients with cough or expectoration were observed with 4.04-fold (95%CI 1.80-9.05) or 2.95-fold (95%CI 1.34-6.52) higher probability of positive sputum culture, compared to those without. Regarding bronchoalveolar lavage fluid, female or patients with bronchiectasis had a 2.82-fold (95%CI 1.16-6.88) or 2.38-fold (95%CI 1.01-5.63) higher probability to achieve a positive culture. The median time to diagnosis of NTM lung disease was 32 (interquartile range: 26-42) days. The results of multivariable analysis showed that patients with symptom of expectoration (aOR=0.48, 95%CI 0.29-0.80) needed a shorter diagnosis time in comparison with patients without expectoration. With Mycobacterium Avium-Intracellulare Complex as a reference, lung disease caused by Mycobacterium abscessus needed shorter diagnosis time (aOR=0.43, 95%CI 0.21-0.88), whereas those caused by rare NTM species were observed to require a longer diagnosis time (aOR=8.31, 95%CI 1.01-68.6). Conclusion: The main pathogen causing NTM lung disease in Shanghai was Mycobacterium Avium-Intracellulare Complex. Sex, clinical symptoms and bronchiectasis had an impact on the positive rate of mycobacterial culture. The majority of patients in study hospital were timely diagnosed. Clinical symptoms and NTM species were associated with the bacteriological diagnosis time of NTM lung disease.
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Affiliation(s)
- X B Zheng
- Clinic and Research Centre of Tuberculosis, Shangnai Clinical Research Centre for Infectious Diease (Taberculosis) Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - Y F He
- Clinic and Research Centre of Tuberculosis, Shangnai Clinical Research Centre for Infectious Diease (Taberculosis) Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - L Wang
- Clinic and Research Centre of Tuberculosis, Shangnai Clinical Research Centre for Infectious Diease (Taberculosis) Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - Q Sun
- Clinic and Research Centre of Tuberculosis, Shangnai Clinical Research Centre for Infectious Diease (Taberculosis) Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - X N Shen
- Clinic and Research Centre of Tuberculosis, Shangnai Clinical Research Centre for Infectious Diease (Taberculosis) Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - X C Wu
- Department of Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - J H Yang
- Department of Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - L Yao
- Clinic and Research Centre of Tuberculosis, Shangnai Clinical Research Centre for Infectious Diease (Taberculosis) Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - H Y Cui
- Clinic and Research Centre of Tuberculosis, Shangnai Clinical Research Centre for Infectious Diease (Taberculosis) Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - B Xu
- School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai 200032, China
| | - F Y Yu
- Department of Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
| | - W Sha
- Clinic and Research Centre of Tuberculosis, Shangnai Clinical Research Centre for Infectious Diease (Taberculosis) Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China
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Wang Y, Sun J, Sun K, Li L, Yu X, Wang C, Gu H, Sun Q, Wang X. ECG-based cardiodynamicsgram can reflect anomalous functional information in coronary artery disease. Clin Cardiol 2023. [PMID: 37025093 DOI: 10.1002/clc.24019] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/22/2023] [Accepted: 03/28/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND The cardiodynamicsgram (CDG), a novel noninvasive method, extracts dynamic ST-T segment information from an electrocardiogram (ECG) through deterministic learning. HYPOTHESIS The CDG can reflect anomalous functional information in coronary artery disease (CAD). METHODS We retrospectively enrolled 456 patients with suspected CAD who underwent coronary computed tomography angiography (CCTA) from January 2020 to 2022, followed immediately by standard 12-lead ECG acquisition. Positivity for CAD were defined as CCTA ≥ 50% or CT-derived fractional flow reserve (CT-FFR) ≤ 0.8. A CDG value <0 was considered negative; otherwise, it was considered positive. We also evaluated the diagnostic performance of the CDG in the ECG-diagnosis-negative subgroup and in patients who had undergone invasive coronary angiography (ICA) after CCTA. RESULTS Of 362 patients, 168 (46.41%) were positive for CAD, and 178 (49.17%) were men. The median age was 59 (52-66) years. The accuracy of the CDG in the diagnosis of CAD was 79.56%, with a sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC) of 75.60%, 82.99%, and 0.836 (95% CI: 0.794-0.878), respectively. Similarly, in the ECG-diagnosis-negative subgroup (n = 223), the accuracy of the CDG was 80.27%, with an AUC of 0.842 (95% CI: 0.790-0.895). Among the 11 patients with CAD confirmed by ICA, 10 were diagnosed positive by the CDG. Furthermore, the CDG values and CT-FFR were correlated (r = -.395; p < .001). CONCLUSIONS The ECG-based CDG has relatively high specificity and accuracy for the diagnosis of CAD and reflects functional cardiac information to some extent. It has the potential to be used as a screening tool for suspected CAD patients before CCTA.
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Affiliation(s)
- Ying Wang
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Jiaxin Sun
- Center for Intelligent Medical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China
| | - Kui Sun
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Lin Li
- Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - XinXin Yu
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Cong Wang
- Center for Intelligent Medical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China
| | - Hui Gu
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Qinghua Sun
- Center for Intelligent Medical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, China
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47
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Wang MX, Zhao YM, Liu X, Wen Y, Sun Q. [Convulsion after stopped taking voriconazole of ANCA-associated vasculitis in a hemodialysis child]. Zhonghua Er Ke Za Zhi 2023; 61:368-370. [PMID: 37011986 DOI: 10.3760/cma.j.cn112140-20220923-00831] [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: 04/05/2023]
Affiliation(s)
- M X Wang
- Department of Blood Purification Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Chronic Kidney Disease and Blood Purification, Beijing 100045, China
| | - Y M Zhao
- Department of Pharmacy, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - X Liu
- Department of Blood Purification Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Chronic Kidney Disease and Blood Purification, Beijing 100045, China
| | - Y Wen
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Q Sun
- Department of Blood Purification Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Chronic Kidney Disease and Blood Purification, Beijing 100045, China
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48
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Liu D, Shi Q, Liu C, Sun Q, Zeng X. Effects of Endocrine-Disrupting Heavy Metals on Human Health. Toxics 2023; 11:toxics11040322. [PMID: 37112549 PMCID: PMC10147072 DOI: 10.3390/toxics11040322] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/25/2023] [Accepted: 03/26/2023] [Indexed: 06/12/2023]
Abstract
Heavy metals play an important endocrine-disrupting role in the health consequences. However, the endocrine-disrupting mechanism of heavy metals is unclear. There are long-term and low-level metal/element exposure scenes for the human body in real life. Therefore, animal models exposed to high doses of heavy metals may not provide key information to elucidate the underlying pathogeny of human diseases. This review collects current knowledge regarding the endocrine-disrupting roles of heavy metals such as lead (Pb), cadmium (Cd), arsenic (As), mercury (Hg), nickel (Ni), copper (Cu), zinc (Zn), and manganese (Mn), summarizes the possible molecular mechanisms of these endocrine-disrupting chemicals (EDCs), and briefly evaluates their endocrine toxicity on animals and humans.
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Affiliation(s)
- Dongling Liu
- School of Basic Medical Science, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, China;
| | - Qianhan Shi
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, China; (Q.S.); (C.L.); (Q.S.)
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, China; (Q.S.); (C.L.); (Q.S.)
| | - Qinghua Sun
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, China; (Q.S.); (C.L.); (Q.S.)
| | - Xiang Zeng
- School of Public Health, Zhejiang Chinese Medical University, 548 Binwen Road, Hangzhou 310053, China; (Q.S.); (C.L.); (Q.S.)
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49
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Li YW, Li Z, Song HC, Ding L, Ji SS, Zhang M, Qu YL, Sun Q, Zhu YD, Fu H, Cai JY, Li CF, Han YY, Zhang WL, Zhao F, Lyu YB, Shi XM. [Association between urinary arsenic level and serum testosterone in Chinese men aged 18 to 79 years]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:686-692. [PMID: 36977566 DOI: 10.3760/cma.j.cn112150-20221110-01095] [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: 03/30/2023]
Abstract
Objective: To investigate the association between the urinary arsenic level and serum total testosterone in Chinese men aged 18 to 79 years. Methods: A total of 5 048 male participants aged 18 to 79 years were recruited from the China National Human Biomonitoring (CNHBM) from 2017 to 2018. Questionnaires and physical examinations were used to collect information on demographic characteristics, lifestyle, food intake frequency and health status. Venous blood and urine samples were collected to detect the level of serum total testosterone, urine arsenic and urine creatinine. Participants were divided into three groups (low, middle, and high) based on the tertiles of creatinine-adjusted urine arsenic concentration. Weighted multiple linear regression was fitted to analyze the association of urinary arsenic with serum total testosterone. Results: The weighted average age of 5 048 Chinese men was (46.72±0.40) years. Geometric mean concentration (95%CI) of urinary arsenic, creatinine-adjusted urine arsenic and serum testosterone was 22.46 (20.08, 25.12) μg/L, 19.36 (16.92, 22.15) μg/L and 18.13 (17.42, 18.85) nmol/L, respectively. After controlling for covariates, compared with the low-level urinary arsenic group, the testosterone level of the participants in the middle-level group and the high-level group decreased gradually. The percentile ratio (95%CI) was -5.17% (-13.14%, 3.54%) and -10.33% (-15.68%, -4.63). The subgroup analysis showed that the association between the urinary arsenic level and testosterone level was more obvious in the group with BMI<24 kg/m2 group (Pinteraction<0.05). Conclusion: There is a negative association between the urinary arsenic level and serum total testosterone in Chinese men aged 18-79 years.
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Affiliation(s)
- Y W Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H C Song
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L Ding
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S S Ji
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - M Zhang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y L Qu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Q Sun
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y D Zhu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H Fu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Y Cai
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - C F Li
- School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Y Y Han
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - W L Zhang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - F Zhao
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X M Shi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Xu YM, Wang Q, Xiao YL, Yang J, Zheng JY, Bai T, Zhou Q, Sun Q, Feng AN, Meng FQ. [Clinicopathological analysis of pulmonary alveolar proteinosis]. Zhonghua Bing Li Xue Za Zhi 2023; 52:160-162. [PMID: 36748137 DOI: 10.3760/cma.j.cn112151-20220527-00461] [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: 02/08/2023]
Affiliation(s)
- Y M Xu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Wang
- Department of Pathology, Anhui Provincial Hospital, the First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China
| | - Y L Xiao
- Department of Respiratory Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - J Yang
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - J Y Zheng
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - T Bai
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Zhou
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Sun
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - A N Feng
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - F Q Meng
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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