1
|
Pausch J, Holz M, Zhu B, Cheng W. Rhizosphere priming promotes plant nitrogen acquisition by microbial necromass recycling. Plant Cell Environ 2024; 47:1987-1996. [PMID: 38369964 DOI: 10.1111/pce.14858] [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: 06/04/2023] [Revised: 02/02/2024] [Accepted: 02/04/2024] [Indexed: 02/20/2024]
Abstract
Nitrogen availability in the rhizosphere relies on root-microorganism interactions, where root exudates trigger soil organic matter (SOM) decomposition through the rhizosphere priming effect (RPE). Though microbial necromass contribute significantly to organically bound soil nitrogen (N), the role of RPEs in regulating necromass recycling and plant nitrogen acquisition has received limited attention. We used 15N natural abundance as a proxy for necromass-N since necromass is enriched in 15N compared to other soil-N forms. We combined studies using the same experimental design for continuous 13CO2 labelling of various plant species and the same soil type, but considering top- and subsoil. RPE were quantified as difference in SOM-decomposition between planted and unplanted soils. Results showed higher plant N uptake as RPEs increased. The positive relationship between 15N-enrichment of shoots and roots and RPEs indicated an enhanced necromass-N turnover by RPE. Moreover, our data revealed that RPEs were saturated with increasing carbon (C) input via rhizodeposition in topsoil. In subsoil, RPEs increased linearly within a small range of C input indicating a strong effect of root-released C on decomposition rates in deeper soil horizons. Overall, this study confirmed the functional importance of rhizosphere C input for plant N acquisition through enhanced necromass turnover by RPEs.
Collapse
Affiliation(s)
- Johanna Pausch
- Agroecology, BayCEER, University of Bayreuth, Bayreuth, Bayern, Germany
| | - Maire Holz
- Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Weixin Cheng
- Department of Environmental Studies, University of California, Santa Cruz, California, USA
| |
Collapse
|
2
|
Qiu Q, Ding C, Mgelwa AS, Feng J, Lei M, Gan Z, Zhu B, Hu YL. Contrasting impacts of fertilization on topsoil and subsoil greenhouse gas fluxes in a thinned Chinese fir plantation. J Environ Manage 2024; 359:121055. [PMID: 38701585 DOI: 10.1016/j.jenvman.2024.121055] [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] [Received: 08/29/2023] [Revised: 04/07/2024] [Accepted: 04/29/2024] [Indexed: 05/05/2024]
Abstract
Globally, forest soils are considered as important sources and sinks of greenhouse gases (GHGs). However, most studies on forest soil GHG fluxes are confined to the topsoils (above 20 cm soil depths), with only very limited information being available regarding these fluxes in the subsoils (below 20 cm soil depths), especially in managed forests. This limits deeper understanding of the relative contributions of different soil depths to GHG fluxes and global warming potential (GWP). Here, we used a concentration gradient-based method to comprehensively investigate the effects of thinning intensity (15% vs. 35%) and nutrient addition (no fertilizer vs. NPK fertilizers) on soil GHG fluxes from the 0-40 cm soil layers at 10 cm depth intervals in a Chinese fir (Cunninghamia lanceolata) plantation. Results showed that forest soils were the sources of CO2 and N2O, but the sinks of CH4. Soil GHG fluxes decreased with increasing soil depth, with the 0-20 cm soil layers identified as the dominant producers of CO2 and N2O and consumers of CH4. Thinning intensity did not significantly affect soil GHG fluxes. However, fertilization significantly increased CO2 and N2O emissions and CH4 uptake at 0-20 cm soil layers, but decreased them at 20-40 cm soil layers. This is because fertilization alleviated microbial N limitation and decreased water filled pore space (WFPS) in topsoils, while it increased WFPS in subsoils, ultimately suggesting that soil WFPS and N availability (especially NH4+-N) were the predominant regulators of GHG fluxes along soil profiles. Generally, there were positive interactive effects of thinning and fertilization on soil GHG fluxes. Moreover, the 35% thinning intensity without fertilization had the lowest GWP among all treatments. Overall, our results suggest that fertilization may not only cause depth-dependent effects on GHG fluxes within soil profiles, but also impede efforts to mitigate climate change by promoting GHG emissions in managed forest plantations.
Collapse
Affiliation(s)
- Qingyan Qiu
- College of Juncao Science and Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Chi Ding
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Abubakari Said Mgelwa
- College of Natural Resources Management & Tourism, Mwalimu Julius K. Nyerere University of Agriculture & Technology, P.O. Box 976, Musoma, Tanzania; CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Jiguang Feng
- Institute of Ecology, College of Urban and Environmental Sciences, And Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Mei Lei
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Ziying Gan
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, And Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China.
| | - Ya-Lin Hu
- College of Juncao Science and Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China; College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
| |
Collapse
|
3
|
Ao Z, Hu X, Tao S, Hu X, Wang G, Li M, Wang F, Hu L, Liang X, Xiao J, Yusup A, Qi W, Ran Q, Fang J, Chang J, Zeng Z, Fu Y, Xue B, Wang P, Zhao K, Li L, Li W, Li Y, Jiang M, Yang Y, Shen H, Zhao X, Shi Y, Wu B, Yan Z, Wang M, Su Y, Hu T, Ma Q, Bai H, Wang L, Yang Z, Feng Y, Zhang D, Huang E, Pan J, Ye H, Yang C, Qin Y, He C, Guo Y, Cheng K, Ren Y, Yang H, Zheng C, Zhu J, Wang S, Ji C, Zhu B, Liu H, Tang Z, Wang Z, Zhao S, Tang Y, Xing H, Guo Q, Liu Y, Fang J. A national-scale assessment of land subsidence in China's major cities. Science 2024; 384:301-306. [PMID: 38635711 DOI: 10.1126/science.adl4366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 02/26/2024] [Indexed: 04/20/2024]
Abstract
China's massive wave of urbanization may be threatened by land subsidence. Using a spaceborne synthetic aperture radar interferometry technique, we provided a systematic assessment of land subsidence in all of China's major cities from 2015 to 2022. Of the examined urban lands, 45% are subsiding faster than 3 millimeters per year, and 16% are subsiding faster than 10 millimeters per year, affecting 29 and 7% of the urban population, respectively. The subsidence appears to be associated with a range of factors such as groundwater withdrawal and the weight of buildings. By 2120, 22 to 26% of China's coastal lands will have a relative elevation lower than sea level, hosting 9 to 11% of the coastal population, because of the combined effect of city subsidence and sea-level rise. Our results underscore the necessity of enhancing protective measures to mitigate potential damages from subsidence.
Collapse
Affiliation(s)
- Zurui Ao
- Beidou Research Institute, Faculty of Engineering, South China Normal University, Foshan 528000, China
| | - Xiaomei Hu
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Shengli Tao
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Xie Hu
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
- College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Guoquan Wang
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, USA
| | - Mingjia Li
- Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518055, China
| | - Fang Wang
- River Basin Habitats Research Center, College of Architecture and Landscape Architecture, Peking University, Beijing 100871, China
| | - Litang Hu
- College of Water Sciences, Beijing Normal University, Beijing 100875, China
| | - Xiuyu Liang
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Jingfeng Xiao
- Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA
| | - Asadilla Yusup
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Wenhua Qi
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Qinwei Ran
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Jiayi Fang
- Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
- Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China
| | - Jinfeng Chang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Zhenzhong Zeng
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yongshuo Fu
- College of Water Sciences, Beijing Normal University, Beijing 100875, China
| | - Baolin Xue
- Innovation Research Center of Satellite Application (IRCSA), Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Ping Wang
- Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Kefei Zhao
- School of Management, Guangdong University of Technology, Guangzhou 510520, China
| | - Le Li
- School of Management, Guangdong University of Technology, Guangzhou 510520, China
| | - Wenkai Li
- School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
| | - Yumei Li
- Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Mi Jiang
- School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China
| | - Yuanhe Yang
- Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Haihua Shen
- Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Xia Zhao
- Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Yue Shi
- Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Bo Wu
- Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Zhengbing Yan
- Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Mengjia Wang
- School of Geo-science and Technology, Zhengzhou University, Zhengzhou 450001, China
| | - Yanjun Su
- Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Tianyu Hu
- Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Qin Ma
- School of Geography, Nanjing Normal University, Nanjing 210023, China
- Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
| | - Hao Bai
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Lijun Wang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
- Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Ziyan Yang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
- College of Forestry, Beijing Forestry University, Beijing 100083, China
| | - Yuhao Feng
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Danhua Zhang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Erhan Huang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Jiamin Pan
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Huiying Ye
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Chen Yang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Yanwei Qin
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Chenqi He
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Yanpei Guo
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Kai Cheng
- Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China
| | - Yu Ren
- Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China
| | - Haitao Yang
- Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China
| | - Chengyang Zheng
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Jiangling Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Shaopeng Wang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Chengjun Ji
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Hongyan Liu
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Zhiyao Tang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Zhiheng Wang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Shuqing Zhao
- School of Ecology, Hainan University, Haikou 570228, China
| | - Yanhong Tang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Hanfa Xing
- Beidou Research Institute, Faculty of Engineering, South China Normal University, Foshan 528000, China
| | - Qinghua Guo
- Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China
| | - Yu Liu
- Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China
| | - Jingyun Fang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| |
Collapse
|
4
|
Wan Z, Su J, Zhu X, Liu X, Guo Y, Xiang D, Zhou X, Peng X, Tao R, Cao Q, Lang G, Huang Y, Zhu B. Distinct Lipidomic Profiles between People Living with HIV Treated with E/C/F/TAF or B/F/TAF: An Open-Label Prospective Cohort Study. Infect Dis Ther 2024; 13:727-744. [PMID: 38489119 PMCID: PMC11058159 DOI: 10.1007/s40121-024-00943-0] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/15/2024] [Indexed: 03/17/2024] Open
Abstract
INTRODUCTION Elvitegravir/cobicistat/emtricitabine/tenofovir alafenamide (E/C/F/TAF) has been increasingly replaced by bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) in the treatment of human immunodeficiency virus (HIV) owing to its more favorable pharmacokinetics and fewer drug-drug interactions. However, the effect of this switch on plasma lipids and lipidomic profiles remains poorly characterized. METHODS HIV infected patients on an E/C/F/TAF regimen were recruited into the study and followed up every 12 weeks. Participants were divided into E/C/F/TAF and B/F/TAF groups depending on whether they were switched to B/F/TAF during follow-up. Clinical information and blood samples were collected at 0, 12, and 24 weeks, and lipidomic analysis was performed using liquid chromatography mass spectrometry. RESULTS No significant differences were observed between the groups at baseline. At week 24, patients switched to B/F/TAF had lower triglyceride [mmol/L; 1.23 (0.62) versus 2.03 (0.75), P = 0.001] and very low-density lipoprotein cholesterol [mmol/L; 0.64 (0.26) versus 0.84 (0.32), P = 0.037) compared with patients who continued E/C/F/TAF therapy. Small decrease from baseline in Framingham general cardiovascular risk score (FRS) was observed in the B/F/TAF arm [week (W) 0: 2.59 (1.57) versus W24: 2.18 (1.01), P = 0.043]. Lipidomic analysis indicated that E/C/F/TAF treatment increased the levels of several diglycerides (DGs), triacylglycerols (TAGs), and lyso-phosphatidylcholines (LPCs), whereas switching to B/F/TAF led to increased sphingolipids and glycerophospholipids. After adjusting for demographic and clinical parameters, only DG (16:0/18:2), DG (18:2/22:6), DG (18:3/18:2), DG (20:5/18:2), TAG (18:3/18:2/21:5), TAG (20:5/18:2/22:6), and LPC (22:6) were found to be significantly associated with FRS (regression coefficient of 0.17-6.02, P < 0.05). Most of these FRS associate lipid species were significantly elevated in individuals treated with E/C/F/TAF instead of individuals treated with B/F/TAF. CONCLUSION E/C/F/TAF promotes the accumulation of lipid species closely associated with cardiovascular disease (CVD) risk among people living with HIV, whereas B/F/TAF has a decreased impact on CVD-related lipid profile and is associated with lower CVD risk. A graphical abstract is available with this article. TRIAL REGISTRATION ClinicalTrials.gov; identifier, NCT06019273.
Collapse
Affiliation(s)
- Zhikai Wan
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Junwei Su
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Xueling Zhu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Xiang Liu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Yongzheng Guo
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Dairong Xiang
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Xiaotang Zhou
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Xiaorong Peng
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Ran Tao
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Qing Cao
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Guanjing Lang
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Ying Huang
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Biao Zhu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China.
| |
Collapse
|
5
|
Hui J, Wang J, Wan Z, Cao Q, Dai B, Lou H, Zhu B. Anti-N-methyl-D-aspartate Receptor Encephalitis in People Living with HIV: Case Report and Literature Review. Neurol Ther 2024:10.1007/s40120-024-00594-w. [PMID: 38530605 DOI: 10.1007/s40120-024-00594-w] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 02/20/2024] [Indexed: 03/28/2024] Open
Abstract
With the increase in the number of cases of autoimmune encephalitis (AE), the cerebrospinal fluid (CSF) of people living with HIV (PLWH) showing abnormal behavior, cognitive impairment or abnormal movements should be actively screened for the antibody panel of AE. Early recognition and treatment can prevent severe seizures or coma and markedly improve the prognosis of patients. The first-line immunotherapy for AE includes intravenous methylprednisolone and immunoglobulin. However, whether long-time immunosuppressive maintenance therapy is needed is debated. For PLWH, immunosuppressive therapy and even steroids could be more challenging. Here, we review and summarize the clinical characteristics often reported cases and report one case from our center to improve the diagnosis and treatment of anti-N-methyl-D-aspartate receptor encephalitis in PLWH.
Collapse
Affiliation(s)
- Jiangjin Hui
- Department of Neurology, The People's Hospital of Beilun District, Beilun Branch Hospital of The First Affiliated Hospital, Zhejiang University School of Medicine, Ningbo, 315826, China
| | - Jinhua Wang
- Department of Neurology, The People's Hospital of Beilun District, Beilun Branch Hospital of The First Affiliated Hospital, Zhejiang University School of Medicine, Ningbo, 315826, China
| | - Zhikai Wan
- Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China
| | - Qing Cao
- Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China
| | - Bohao Dai
- Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China
| | - Haiyan Lou
- Radiology Department, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China
| | - Biao Zhu
- Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
| |
Collapse
|
6
|
Hu Y, Hu C, Wang S, Ren L, Hao Y, Wang Z, Liu Y, Su J, Zhu B, Li D, Shao Y, Liang H. Identification of an IGHV3-53-Encoded RBD-Targeting Cross-Neutralizing Antibody from an Early COVID-19 Convalescent. Pathogens 2024; 13:272. [PMID: 38668227 PMCID: PMC11054858 DOI: 10.3390/pathogens13040272] [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: 01/28/2024] [Revised: 03/10/2024] [Accepted: 03/20/2024] [Indexed: 04/29/2024] Open
Abstract
Since November 2021, Omicron has emerged as the dominant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant, and its sublineages continue to appear one after another, significantly reducing the effectiveness of existing therapeutic neutralizing antibodies (NAbs). It is urgent to develop effective NAbs against circulating Omicron variants. Here, we isolated receptor binding domain (RBD)-specific single memory B cells via flow cytometry from a COVID-19 convalescent. The antibody variable region genes of the heavy chain (VHs) and light chain (VLs) were amplified and cloned into expression vectors. After antibody expression, ELISA screening and neutralizing activity detection, we obtained an IGHV3-53-encoded RBD-targeting cross-neutralizing antibody D6, whose VL originated from the IGKV1-9*01 germlines. D6 could potently neutralize circulating Omicron variants (BA.1, BA.2, BA.4/5 and BF.7), with IC50 values of less than 0.04 μg/mL, and the neutralizing ability against XBB was reduced but still effective. The KD values of D6 binding with RBD of the prototype and BA.1 were both less than 1.0 × 10-12 M. The protein structure of the D6-RBD model indicates that D6 interacts with the RBD external subdomain and belongs to the RBD-1 community. The sufficient contact and deep interaction of D6 HCDR3 and LCDR3 with RBD may be the crucial reason for its cross-neutralizing activity. The sorting and analysis of mAb D6 will provide important information for the development of anti-COVID-19 reagents.
Collapse
Affiliation(s)
- Yuanyuan Hu
- Guangxi Key Laboratory of AIDS Prevention and Treatment & Biosafety III Laboratory, Guangxi Medical University, Nanning 530021, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Caiqin Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Shuo Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Li Ren
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yanling Hao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Zheng Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Ying Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Junwei Su
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Biao Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Dan Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yiming Shao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment & Biosafety III Laboratory, Guangxi Medical University, Nanning 530021, China
| |
Collapse
|
7
|
Zhang S, Wang M, Xiao L, Guo X, Zheng J, Zhu B, Luo Z. Reconciling carbon quality with availability predicts temperature sensitivity of global soil carbon mineralization. Proc Natl Acad Sci U S A 2024; 121:e2313842121. [PMID: 38437541 PMCID: PMC10945789 DOI: 10.1073/pnas.2313842121] [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: 08/11/2023] [Accepted: 01/22/2024] [Indexed: 03/06/2024] Open
Abstract
Soil organic carbon (SOC) mineralization is a key component of the global carbon cycle. Its temperature sensitivity Q10 (which is defined as the factor of change in mineralization with a 10 °C temperature increase) is crucial for understanding the carbon cycle-climate change feedback but remains uncertain. Here, we demonstrate the universal control of carbon quality-availability tradeoffs on Q10. When carbon availability is not limited, Q10 is controlled by carbon quality; otherwise, substrate availability controls Q10. A model driven by such quality-availability tradeoffs explains 97% of the spatiotemporal variability of Q10 in incubations of soils across the globe and predicts a global Q10 of 2.1 ± 0.4 (mean ± one SD) with higher Q10 in northern high-latitude regions. We further reveal that global Q10 is predominantly governed by the mineralization of high-quality carbon. The work provides a foundation for predicting SOC dynamics under climate and land use changes which may alter soil carbon quality and availability.
Collapse
Affiliation(s)
- Shuai Zhang
- Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou310058, China
| | - Mingming Wang
- Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou310058, China
| | - Liujun Xiao
- National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing210095, China
| | - Xiaowei Guo
- Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou310058, China
| | - Jinyang Zheng
- Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou310058, China
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing100871, China
| | - Zhongkui Luo
- Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou310058, China
- Academy of Ecological Civilization, Zhejiang University, Hangzhou310058, China
- Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, Zhejiang University, Hangzhou310058, China
| |
Collapse
|
8
|
Liu M, Wang C, Zhu B. Independent and combined effects of microplastics pollution and drought on soil bacterial community. Sci Total Environ 2024; 913:169749. [PMID: 38160843 DOI: 10.1016/j.scitotenv.2023.169749] [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: 09/22/2023] [Revised: 12/04/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
Global terrestrial ecosystems are simultaneously threatened by multiple environmental pressures, with microplastics (MPs) pollution and drought possibly being the most pressing, both of which may have unanticipated effects on soil organisms. Here, we investigated the responses of diversity, composition and functions of soil bacterial community to MPs pollution (including two MPs types: polyethylene (PE) and polylactic acid (PLA); two MPs sizes: < 20 μm and <300 μm) and drought in microcosms. We found that only 20 μm PLA MPs significantly decreased soil bacterial diversity by 17.4 % and altered soil bacterial community composition, while PE MPs and 300 μm PLA MPs had no significant effects. The copiotrophic bacteria (i.e., Proteobacteria and Firmicutes) were enriched in the 20 μm PLA MPs pollution soils due to the enhanced dissolved organic carbon contents. Moreover, our results showed that the 20 μm PLA MPs also affected the potential phenotypes and functions of soil bacterial community, increasing the potentially pathogenic, stress-tolerant, containing mobile elements and forming biofilms phenotypes, and promoting membrane transport and signal transduction pathways. These results suggested that the effects of MPs on soil bacterial community varied depending on MPs types and sizes. However, drought significantly increased soil bacterial diversity by 10.3 % and affected soil bacterial community composition in the 20 μm PLA MPs pollution soils. We also found that drought inhibited the levels of potentially pathogenic, containing mobile elements and forming biofilms phenotypes in the 20 μm PLA MPs pollution soils. Taken together, these findings reveal that drought may alleviate the adverse effects of MPs pollution on soil bacterial community, which enhances our understanding of the interactive effects of multiple global change factors on agroecosystem functions.
Collapse
Affiliation(s)
- Mengli Liu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Chong Wang
- College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China.
| |
Collapse
|
9
|
Cui AL, Xia BC, Zhu Z, Xie ZB, Sun LW, Xu J, Xu J, Li Z, Zhao LQ, Long XR, Yu DS, Zhu B, Zhang F, Mu M, Xie H, Cai L, Zhu Y, Tian XL, Wang B, Gao ZG, Liu XQ, Ren BZ, Han GY, Hu KX, Zhang Y. [Epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:1-7. [PMID: 38403282 DOI: 10.3760/cma.j.cn112150-20231213-00440] [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: 02/27/2024]
Abstract
Objective: To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023. Methods: The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed. Results: A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M (Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant (P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age (P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion: Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.
Collapse
Affiliation(s)
- A L Cui
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - B C Xia
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z Zhu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z B Xie
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L W Sun
- Precision Medicine Research Center, Children's Hospital of Changchun, Changchun 130061, China
| | - J Xu
- Institute of Expanded Immunization Program, Henan Provincial Center for Disease Control and Prevention, Zhengzhou 450016, China
| | - J Xu
- National institute for viral disease control and prevention, Shaanxi provincial center for disease control and prevention, Xi'an 710054, China
| | - Z Li
- Institute for Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - L Q Zhao
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing 100020, China
| | - X R Long
- Department of Infectious Diseases, Children's Hospital Affiliated to Chongqing Medical University, Chongqing 400014, China
| | - D S Yu
- Institute of Pathogen testing, Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - B Zhu
- Virus Laboratory, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China
| | - F Zhang
- aboratory of Viral diseases, Qingdao Municipal Centre for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao 266000, China
| | - M Mu
- School of Public Health, Anhui University of Science and Technology, Huainan 232001, China
| | - H Xie
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control, Beijing Academy for Preventive Medicine, Beijing Institute of Tuberculosis Control Research and Prevention, Beijing 100013, China
| | - L Cai
- Hunan Provincial Center for Disease Control and Prevention, Changsha 410005, China
| | - Y Zhu
- Laboratory of Infection and Virology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - X L Tian
- Department of Immunization Program, Neimeng Provincial Center for Disease Control and Prevention, Huhehaote 010000, China
| | - B Wang
- Department of Infectious Diseases, Shenyang Prefecture Center for Disease Control and Prevention, Shenyang 110000, China
| | - Z G Gao
- Institute for infectious disease prevention and treatment, Xinjiang Center for Disease Control and Prevention, Wulumuqi 830002, China
| | - X Q Liu
- Laboratory of Viral Infectious Disease, Key Laboratory of Important and Emerging Viral Infectious Diseases of Jiangxi Health Commission, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330029, China
| | - B Z Ren
- Division of Diseases Detection, Shanxi Provincial Center for Disease Control and Prevention, Taiyuan 030012, China
| | - G Y Han
- Institute for Viral Disease Control and Prevention, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - K X Hu
- Institute of Health Inspection and Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100123, China
| | - Y Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID)/NHC Key Laboratory of Medical Virology and Viral Diseases/National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention, Beijing 102206, China
| |
Collapse
|
10
|
Qin W, Feng J, Zhang Q, Yuan X, Zhou H, Zhu B. Nitrogen and phosphorus addition mediate soil priming effects via affecting microbial stoichiometric balance in an alpine meadow. Sci Total Environ 2024; 908:168350. [PMID: 37935262 DOI: 10.1016/j.scitotenv.2023.168350] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/02/2023] [Accepted: 11/03/2023] [Indexed: 11/09/2023]
Abstract
Priming effect (PE) plays a crucial role in regulating the decomposition of soil organic matter (SOM). Multiple empirical results have shown that nitrogen (N) and phosphorus (P) addition can significantly alter the direction and intensity of PE, which may significantly affect carbon turnover in grasslands, especially in alpine meadows that are sensitive to N and P enrichment. To evaluate the PE responses to N and/or P addition, we conducted an incubation experiment by adding 13C-labeled glucose and nutrient additions (+N, +P, and +NP) in soils collected from an alpine meadow. The soils were incubated for 30 days and soil/microbial properties and enzyme activities were measured. Partial correlation and linear regression analyses were then performed to investigate their correlations with PE. The results showed that mean PE intensity among all treatments was 0.61 mg C g-1 soil or 1.35 (ratio). Nitrogen addition increased PE intensity, which was attributed to the better match between soil resources and microbial demands and enhanced enzyme activities. However, the PE intensity in P-addition soils was lower than that in control soils. This discrepancy may be related to the P-induced decrease of N availability and stronger microbial C/N imbalance. No significant response of PE intensity to NP addition was detected, and this could be explained by the offset of positive N effects and negative P effects on microbial decomposition. In this experiment, N or P addition altered the PE intensity by mediating the match between soil C:N:P ratio and microbial demands, which supported the stoichiometric decomposition hypothesis. Overall, our study highlights the importance of considering the C, N and P coupling in regulating PE, and underscores the need for further investigation into the effects of soil P on microbial activity and SOM decomposition.
Collapse
Affiliation(s)
- Wenkuan Qin
- Institute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Jiguang Feng
- Institute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Qiufang Zhang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Xia Yuan
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China
| | - Huakun Zhou
- Qinghai Provincial Key Laboratory of Restoration Ecology of Cold Area, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China.
| |
Collapse
|
11
|
Han Z, Zhu B, Zang Y, Zhang C, Dong XQ, Huang H, Sun J. Primary activation of para-quinone methides by chiral phosphoric acid for enantioselective construction of tetraarylmethanes. Chem Sci 2024; 15:720-725. [PMID: 38179542 PMCID: PMC10763553 DOI: 10.1039/d3sc05014a] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 11/21/2023] [Indexed: 01/06/2024] Open
Abstract
Demonstrated here is an asymmetric nucleophilic addition via primary activation of para-quinone methides (p-QMs) based on a chiral phosphoric acid catalytic system. In sharp contrast to previous CPA-based bifunctional activation processes that all required the nucleophiles to have an effective hydrogen bond donor unit (e.g., OH, NH), here no such unit is required in the nucleophile. N-protected indole nucleophiles were successfully utilized for the synthesis of chiral tetraarylmethanes with high efficiency and enantioselectivity under mild conditions. Therefore, this protocol significantly expanded the scope of asymmetric transformations of p-QMs.
Collapse
Affiliation(s)
- Zhengyu Han
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University Changzhou China
| | - Biao Zhu
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University Changzhou China
| | - Yu Zang
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University Changzhou China
| | - Chaoshen Zhang
- Shenzhen Bay Laboratory Shenzhen 518132 China
- Shenzhen Research Institute, HKUST No. 9 Yuexing 1st Rd Shenzhen 518057 China
- Department of Chemistry, The Hong Kong University of Science and Technology Clear Water Bay, Kowloon Hong Kong SAR China
| | - Xiu-Qin Dong
- College of Chemistry and Molecular Sciences, Engineering Research Center of Organosilicon Compounds & Materials, Ministry of Education, Wuhan University Wuhan Hubei China
| | - Hai Huang
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University Changzhou China
| | - Jianwei Sun
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University Changzhou China
- Shenzhen Research Institute, HKUST No. 9 Yuexing 1st Rd Shenzhen 518057 China
- Department of Chemistry, The Hong Kong University of Science and Technology Clear Water Bay, Kowloon Hong Kong SAR China
| |
Collapse
|
12
|
Chen Y, Han M, Qin W, Hou Y, Zhang Z, Zhu B. Effects of whole-soil warming on CH 4 and N 2 O fluxes in an alpine grassland. Glob Chang Biol 2024; 30:e17033. [PMID: 38273530 DOI: 10.1111/gcb.17033] [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] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/23/2023] [Indexed: 01/27/2024]
Abstract
Global climate warming could affect the methane (CH4 ) and nitrous oxide (N2 O) fluxes between soils and the atmosphere, but how CH4 and N2 O fluxes respond to whole-soil warming is unclear. Here, we for the first time investigated the effects of whole-soil warming on CH4 and N2 O fluxes in an alpine grassland ecosystem on the Tibetan Plateau, and also studied the effects of experimental warming on CH4 and N2 O fluxes across terrestrial ecosystems through a global-scale meta-analysis. The whole-soil warming (0-100 cm, +4°C) significantly elevated soil N2 O emission by 101%, but had a minor effect on soil CH4 uptake. However, the meta-analysis revealed that experimental warming did not significantly alter CH4 and N2 O fluxes, and it may be that most field warming experiments could only heat the surface soils. Moreover, the warming-induced higher plant litter and available N in soils may be the main reason for the higher N2 O emission under whole-soil warming in the alpine grassland. We need to pay more attention to the long-term response of greenhouse gases (including CH4 and N2 O fluxes) from different soil depths to whole-soil warming over year-round, which could help us more accurately assess and predict the ecosystem-climate feedback under realistic warming scenarios in the future.
Collapse
Affiliation(s)
- Ying Chen
- College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Institute of Ecology, Peking University, Beijing, China
| | - Mengguang Han
- College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Institute of Ecology, Peking University, Beijing, China
| | - Wenkuan Qin
- College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Institute of Ecology, Peking University, Beijing, China
| | - Yanhui Hou
- College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Institute of Ecology, Peking University, Beijing, China
| | - Zhenhua Zhang
- Qinghai Haibei National Field Research Station of Alpine Grassland Ecosystem, and Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Biao Zhu
- College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Institute of Ecology, Peking University, Beijing, China
| |
Collapse
|
13
|
Zhu B, He J, Ye X, Pei X, Bai Y, Gao F, Guo L, Yong H, Zhao W. Role of Cisplatin in Inducing Acute Kidney Injury and Pyroptosis in Mice via the Exosome miR-122/ELAVL1 Regulatory Axis. Physiol Res 2023; 72:753-765. [PMID: 38215062 PMCID: PMC10805259] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 09/20/2023] [Indexed: 01/14/2024] Open
Abstract
Although cisplatin is an effective chemotherapy drug for the treatment of various cancers, its clinical use is limited due to its side effects, especially nephrotoxicity. Unfortunately, acute kidney injury (AKI) caused by cisplatin remains one of the main challenges in effective cancer treatment. Evidence increasingly suggests that renal inflammation and pyroptotic inflammatory cell death of renal tubular epithelial cells (RTECs) mainly determine the progression and outcome of cisplatin-induced AKI. However, it is not clear how cisplatin regulates the pyroptosis of RTECs cells in AKI. The current study aimed to determine the regulation mechanism of AKI induced by cisplatin. We used cisplatin to induce AKI in vivo. We performed H&E staining of mouse kidney tissue sections and evaluated serological indicators of kidney injury (including blood urea nitrogen (BUN), serum creatinine, and tumor necrosis factor-alpha (TNF-alpha)). We used immunohistochemistry and western blot to detect the important substrate protein gasdermin D (GSDMD) and key target caspase-1 of pyroptosis, respectively. Cisplatin induced mouse AKI and RTECs pyroptosis. HK2 cell-derived exosomes treated with cisplatin influenced pyroptosis of the surrounding HK2 cells. Cisplatin-treated HK2 cells exosome-derived miR-122 regulated pyroptosis in the surrounding cells. Exosome-derived miR-122 affected cisplatin-induced AKI and HK2 cells pyroptosis by regulating the expression of embryonic lethal abnormal vision (ELAVL1). These results suggest that exosome miR-122 inhibited pyroptosis and AKI by targeting ELAVL1 under cisplatin treatment, and this offers a potential target for the treatment of AKI.
Collapse
Affiliation(s)
- B Zhu
- Department of Geriatric, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | | | | | | | | | | | | | | | | |
Collapse
|
14
|
Zhu H, Xu L, Zhu B, Liao M, Li J, Han Z, Sun J, Huang H. Copper-Catalyzed Enantioselective Formal [4 + 1] and [3 + 3] Cycloaddition of Ethynylethylene Carbonates. Org Lett 2023; 25:9213-9218. [PMID: 38100085 DOI: 10.1021/acs.orglett.3c03871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
Herein we employed ethynylethylene carbonates (EECs) to achieve formal [4 + 1] and [3 + 3] cycloaddition with cyclic 1,3-dicarbonyl compounds. On one hand, EECs with styryl substitution could undergo a remotely controlled enantioselective [4 + 1] cycloaddition reaction. This reaction exhibits good chemoselectivity, regioselectivity, and enantioselectivity. In addition, a [3 + 3] cycloaddition reaction of EECs with cyclic 1,3-dicarbonyl compounds was also achieved, leading to a series of 4H-pyrans with impressive chemoselectivity and enantioselectivity.
Collapse
Affiliation(s)
- Haihui Zhu
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Lixia Xu
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Biao Zhu
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Maoyan Liao
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Jixing Li
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Zhengyu Han
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Jianwei Sun
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR (China)
| | - Hai Huang
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| |
Collapse
|
15
|
Guo Y, Li X, Xiao Q, Yang J, Tao R, Xu L, Zhu B. Mycobacterium colombiense Pneumonia in HIV-Infected Patients: Three Case Reports and a Literature Review. Infect Drug Resist 2023; 16:7767-7773. [PMID: 38148773 PMCID: PMC10750772 DOI: 10.2147/idr.s441083] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 12/19/2023] [Indexed: 12/28/2023] Open
Abstract
Background Mycobacterium colombiense pneumonia in HIV-infected patients is relatively unusual but is associated with a high mortality rate, as well as high rates of misdiagnosis and delayed diagnosis. Clinical metagenome next-generation sequencing (mNGS) may have potential for its accurate and timely diagnosis. Case Presentation We retrospectively reviewed the medical records of three HIV-infected patients who presented with M. colombiense pneumonia in Zhejiang Province between January 2019 and December 2020. No specific clinical presentations or radiological manifestations were found in any of the patients. The detection of M. colombiense is 28-55 days earlier using mNGS on bronchoalveolar lavage fluid (BALF) compared to traditional culture methods. A combined treatment of rifabutin, clarithromycin, or azithromycin, and ethambutol did not provide timely relief of symptoms in these three patients. In the early stage of treatment, moxifloxacin and linezolid were used for several weeks. The average course of treatment for all three patients was close to 17 months. Conclusion We recommend early BALF mNGS for fast and accurate diagnosis of M. colombiense pneumonia in HIV-infected patients with low CD4 counts and long duration of symptoms. Further, moxifloxacin and linezolid may be beneficial in the early stage of treatment.
Collapse
Affiliation(s)
- Yongzheng Guo
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China
| | - Xiaofeng Li
- The Department of Infectious Diseases, Huzhou Central Hospital, Huzhou, Zhejiang, People’s Republic of China
| | - Qianggu Xiao
- The Department of Infectious Diseases, Xiaoshan First People’s Hospital, Hangzhou, Zhejiang, People’s Republic of China
| | - Jie Yang
- The Department of Infectious Diseases, Lishui Municipal Central Hospital, Lishui, Zhejiang, People’s Republic of China
| | - Ran Tao
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China
| | - Lijun Xu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China
| | - Biao Zhu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China
| |
Collapse
|
16
|
Peng X, Zhu B. Machine learning identified genetic features associated with HIV sequences in the monocytes. Chin Med J (Engl) 2023; 136:3002-3004. [PMID: 38018159 PMCID: PMC10752474 DOI: 10.1097/cm9.0000000000002932] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Indexed: 11/30/2023] Open
Affiliation(s)
- Xiaorong Peng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
| | - Biao Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
| |
Collapse
|
17
|
Zhu B, Xiao C, Ding C, Yan H, Wang L, Jiang Q, Tian J, Wei L. Adverse childhood experiences and depressive symptoms among lesbian and bisexual women in China. BMC Womens Health 2023; 23:679. [PMID: 38114972 PMCID: PMC10731884 DOI: 10.1186/s12905-023-02686-5] [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] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 10/04/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Despite the relationship between Adverse childhood experiences (ACEs) and depressive symptoms, which has been well researched in general populations, little is known about homosexual and bisexual populations, especially lesbian and bisexual women in China. This study aims to investigate the prevalence of ACEs and depressive symptoms and to analyze the relationship between them among lesbian and bisexual women in China. METHODS The eligible participants were aged 16 years or older who report their sexual orientation as homosexual or bisexual. The data was collected through anonymous questionnaires with the help of Lespark in Beijing from July 18 to December 29, 2018, and all participants had informed consent to this study. Univariate analysis and multiple linear regression analyses were performed to explore the relationship between ACEs and depressive symptoms among lesbian and bisexual women. All statistical analyses were conducted by the software of SPSS 22.0. RESULTS Among 301 lesbian and bisexual women, 81.4% were lesbian, 18.4% were bisexual women, and the majority were 21-30 years. As for ACEs, 51.5% reported at least one ACE, in which emotional neglect (22.6%) and emotional abuse (22.3%) were common ACEs. As for depressive symptoms of lesbian and bisexual women, the detection rate was 56.1%. The multiple linear regression analyses showed that abuse (β = 2.95, 95%CI:1.07-4.83) and neglect (β = 3.21, 95%CI:1.09-5.31) were positively associated with depressive symptoms and lesbian and bisexual women with three (β = 4.11, 95%CI: 0.99-7.22) or more (β = 6.02, 95%CI: 3.23-8.78) ACEs suffered from more depressive symptoms than others. CONCLUSION Adverse childhood experiences (ACEs) and depressive symptoms were at high prevalence among lesbian and bisexual women in China. ACEs were associated with depressive symptoms, especially childhood abuse and neglect experiences that have a significant effect on lesbian and bisexual women mental health.
Collapse
Affiliation(s)
- Biao Zhu
- School of Public Health, Wuhan University, Wuhan, China
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | | | - Changmian Ding
- Department of Medical Record, The People's Hospital of Dehong, Dehong, China
| | - Hong Yan
- School of Public Health, Wuhan University, Wuhan, China.
| | - Liyin Wang
- School of Public Health, Wuhan University, Wuhan, China
| | | | - Jiawei Tian
- School of Public Health, Wuhan University, Wuhan, China
| | - Liqing Wei
- School of Public Health, Wuhan University, Wuhan, China
| |
Collapse
|
18
|
Li X, Feng J, Zhang Q, Zhu B. Warming inhibits the priming effect of soil organic carbon mineralization: A meta-analysis. Sci Total Environ 2023; 904:166170. [PMID: 37562634 DOI: 10.1016/j.scitotenv.2023.166170] [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: 03/27/2023] [Revised: 08/06/2023] [Accepted: 08/07/2023] [Indexed: 08/12/2023]
Abstract
Fresh organic carbon (C) input will accelerate or inhibit the mineralization of native soil organic carbon (SOC), which is called positive or negative priming effect (PE), respectively. However, little is known about how warming affects the PE. Here, we adopted a widely-used ratio of SOC mineralization between substrate-added and unadded-control treatments to represent PE intensity and used the PE difference between ambient-control temperature and elevated temperature to indicate the effect of warming on PE (ΔPE). By conducting a meta-analysis of 146 observations from 57 independent soils worldwide, we found that experimental warming significantly decreased the PE by 0.26 (unitless). Among ecosystems, warming significantly suppressed the PE of cropland and grassland soils by 0.43 and 0.21 respectively, but did not change the PE of forest soils. Moreover, we found significant positive correlations of ΔPE with the initial soil C/N ratio and the effect size of warming on microbial biomass. Between substrate types (i.e., containing N or not), warming significantly decreased the PE induced by N-containing substrates. These results suggested that the response of PE to warming is likely regulated by soil N availability and warming-induced changes in microbial biomass. As such, we proposed a conceptual framework-the microbial N mining hypothesis dominates in soils with low C/N ratio where warming inhibits PE by promoting N mineralization, while the stoichiometric decomposition hypothesis dominates in soils with high C/N ratio where warming stimulates PE by promoting N mineralization. Collectively, these findings provide important insights into how warming affects SOC dynamics via inhibiting PE, which may weaken the positive feedback between soil C emission and climate warming.
Collapse
Affiliation(s)
- Xiaojie Li
- Institute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Jiguang Feng
- Institute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Qiufang Zhang
- School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China.
| |
Collapse
|
19
|
Wei M, Huang M, Duan Y, Wang D, Xing X, Quan R, Zhang G, Liu K, Zhu B, Ye Y, Zhou D, Zhao J, Ma G, Jiang Z, Huang B, Xu S, Xiao Y, Zhang L, Wang H, Lin R, Ma S, Qiu Y, Wang C, Zheng Z, Sun N, Xian L, Li J, Zhang M, Guo Z, Tao Y, Zhang L, Zhou X, Chen W, Wang D, Chi J. Prognostic and risk factor analysis of cancer patients after unplanned ICU admission: a real-world multicenter study. Sci Rep 2023; 13:22340. [PMID: 38102299 PMCID: PMC10724261 DOI: 10.1038/s41598-023-49219-6] [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: 01/20/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023] Open
Abstract
To investigate the occurrence and 90-day mortality of cancer patients following unplanned admission to the intensive care unit (ICU), as well as to develop a risk prediction model for their 90-day prognosis. We prospectively analyzed data from cancer patients who were admitted to the ICU without prior planning within the past 7 days, specifically between May 12, 2021, and July 12, 2021. The patients were grouped based on their 90-day survival status, and the aim was to identify the risk factors influencing their survival status. A total of 1488 cases were included in the study, with an average age of 63.2 ± 12.4 years. The most common reason for ICU admission was sepsis (n = 940, 63.2%). During their ICU stay, 29.7% of patients required vasoactive drug support (n = 442), 39.8% needed invasive mechanical ventilation support (n = 592), and 82 patients (5.5%) received renal replacement therapy. We conducted a multivariate COX proportional hazards model analysis, which revealed that BMI and a history of hypertension were protective factors. On the other hand, antitumor treatment within the 3 months prior to admission, transfer from the emergency department, general ward, or external hospital, high APACHE score, diagnosis of shock and respiratory failure, receiving invasive ventilation, and experiencing acute kidney injury (AKI) were identified as risk factors for poor prognosis within 90 days after ICU admission. The average length of stay in the ICU was 4 days, while the hospital stay duration was 18 days. A total of 415 patients died within 90 days after ICU admission, resulting in a mortality rate of 27.9%. We selected 8 indicators to construct the predictive model, which demonstrated good discrimination and calibration. The prognosis of cancer patients who are unplanned transferred to the ICU is generally poor. Assessing the risk factors and developing a risk prediction model for these patients can play a significant role in evaluating their prognosis.
Collapse
Affiliation(s)
- Miao Wei
- Department of Intensive Care Unit, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Mingguang Huang
- Department of Intensive Care Unit, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
| | - Yan Duan
- Department of Intensive Care Unit, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Donghao Wang
- Department of Intensive Care Unit, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xuezhong Xing
- Department of Intensive Care Unit, Cancer Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Rongxi Quan
- Department of Intensive Care Unit, Cancer Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China
| | - Guoxing Zhang
- Department of Intensive Care Unit, Gaoxin District of Jilin Cancer Hospital, Changchun, Jilin, China
| | - Kaizhong Liu
- Department of Intensive Care Unit, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Biao Zhu
- Department of Intensive Care Unit, Fudan University Affiliated Shanghai Cancer Hospital, Shanghai, China
| | - Yong Ye
- Department of Intensive Care Unit, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China
| | - Dongmin Zhou
- Department of Intensive Care Unit, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Jianghong Zhao
- Department of Intensive Care Unit, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Gang Ma
- Department of Intensive Care Unit, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Zhengying Jiang
- Department of Intensive Care Unit, Chongqing University Cancer Hospital, Chongqing, Sichuan, China
| | - Bing Huang
- Department of Intensive Care Unit, Guangxi Medical University Affiliated Tumor Hospital, Nanning, Guangxi, China
| | - Shanling Xu
- Department of Intensive Care Unit, Sichuan Cancer Hospital and Institute, Chengdu, Sichuan, China
| | - Yun Xiao
- Department of Intensive Care Unit, Yunnan Cancer Hospital, Kunming, Yunnan, China
| | - Linlin Zhang
- Department of Intensive Care Unit, Anhui Province Cancer Hospital, Hefei, Anhui, China
| | - Hongzhi Wang
- Department of Intensive Care Unit, Beijing Cancer Hospital, Beijing, China
| | - Ruiyun Lin
- Department of Intensive Care Unit, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Shuliang Ma
- Department of Intensive Care Unit, Jiangsu Cancer Hospital, Nanjing, Jiangsu, China
| | - Yu'an Qiu
- Department of Intensive Care Unit, Jiangxi Provincial Tumor Hospital, Nanchang, Jiangxi, China
| | - Changsong Wang
- Department of Intensive Care Unit, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Zhen Zheng
- Department of Intensive Care Unit, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China
| | - Ni Sun
- Department of Intensive Care Unit, Huguang District of Jilin Cancer Hospital, Changchun, Jilin, China
| | - Lewu Xian
- Department of Intensive Care Unit, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Ji Li
- Department of Intensive Care Unit, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Ming Zhang
- Department of Intensive Care Unit, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, China
| | - Zhijun Guo
- Department of Intensive Care Unit, Shandong First Medical University Affiliated Tumor Hospital, Jinan, Shandong, China
| | - Yong Tao
- Department of Intensive Care Unit, Nantong Tumor Hospital, Nantong, Jiangsu, China
| | - Li Zhang
- Department of Intensive Care Unit, Hubei Cancer Hospital, Wuhan, Hubei, China
| | - Xiangzhe Zhou
- Department of Intensive Care Unit, Gansu Provincial Cancer Hospital, Lanzhou, Gansu, China
| | - Wei Chen
- Department of Intensive Care Unit, Beijing Shijitan Hospital (Capital Medical University Cancer Hospital), Beijing, China
| | - Daoxie Wang
- Department of Intensive Care Unit, Cancer Hospital of Zhengzhou, Zhengzhou, Henan, China
| | - Jiyan Chi
- Department of Intensive Care Unit, Tumor Hospital of Mudanjiang City, Mudanjiang, Heilongjiang, China
| |
Collapse
|
20
|
Nan C, Zhang X, Huang W, Zhu B, Zhao J, Lu S, Xian L, Liu K, Ma G, Yang W, Huang M, Zhou D, Zhang M, Duan Y, Wu G, Jiang Z, Zhang L, He X, Chen Y, Xing X, Wang C, Wang D, Yu K. Effects of carrimycin on biomarkers of inflammation and immune function in tumor patients with sepsis: A multicenter double-blind randomized controlled trial. Pharmacol Res 2023; 198:106991. [PMID: 37984505 DOI: 10.1016/j.phrs.2023.106991] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/30/2023] [Accepted: 11/13/2023] [Indexed: 11/22/2023]
Abstract
Carrimycin is a potential immune-regulating agent for sepsis in patients with tumors. In this study, we investigated its effects on inflammation and immune function in tumor patients with sepsis. In total, 120 participants were randomized to receive either carrimycin treatment (400 mg/day) (n = 62) or placebo (n = 58) for 7 days. The primary outcomes were immune-related indicators. Subsequently, patients were stratified into two subgroups (CD4 < 38.25% and CD8 < 25.195%). Ninety-nine participants were analyzed: 47 and 52 in the carrimycin and placebo groups, respectively. HLA-DR levels were rapidly increased in the carrimycin group; however, the placebo group initially experienced a decline in HLA-DR level at 1 day after administration. In the subgroup with CD4 < 38.25%, the carrimycin group exhibited significantly higher HLA-DR levels than the placebo group (2.270, P = 0.023) 1 day after administration and the degree of increase in HLA-DR in the carrimycin group was higher than that in the placebo group (2.057, P = 0.040). In the CD8 < 25.195% subgroup, the carrimycin group demonstrated significantly higher levels of CD8+ T cells than the placebo group at 3 (2.300,P = 0.027) and 5 (2.106, P = 0.035) days after administration. Carrimycin intervention led to significant reductions in the SOFA, APACHE II, PCT, and CRP levels. No adverse events were observed. In tumor patients with sepsis, particularly in those experiencing immunological suppression, carrimycin effectively regulates immune responses by increasing HLA-DR and CD8+ T cell levels and plays an anti-infective role, reducing disease severity. (Chictr.org.cn, ID Number: ChiCTR2000032339).
Collapse
Affiliation(s)
- Chuanchuan Nan
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China; Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin 150001, China; Department of Critical Care Medicine, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518000, China
| | - Xiaowu Zhang
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Wei Huang
- Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin 150001, China
| | - Biao Zhu
- Department of Critical Care Medicine, Shanghai Cancer Center of Fudan University, Shanghai 200032, China
| | - Jianghong Zhao
- Department of Critical Care Medicine, Hunan Cancer Hospital, Changsha 410013, China
| | - Song Lu
- Department of Critical Care Medicine, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China
| | - Lewu Xian
- Department of Critical Care Medicine, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou 510000, China
| | - Kaizhong Liu
- Department of Critical Care Medicine, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou 310022, China
| | - Gang Ma
- Department of Critical Care Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510000, China
| | - Wei Yang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Mingguang Huang
- Department of Critical Care Medicine, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030000, China
| | - Dongmin Zhou
- Department of Critical Care Medicine, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Ming Zhang
- Department of Critical Care Medicine, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou 310022, China
| | - Yan Duan
- Department of Critical Care Medicine, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030000, China
| | - Guixin Wu
- Department of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing 404100, China
| | - Zhengying Jiang
- Department of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing 404100, China
| | - Li Zhang
- Department of Critical Care Medicine, Hubei Cancer Hospital, Wuhan 430079, China
| | - Xinrong He
- Department of Critical Care Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510000, China
| | - Yuhong Chen
- Department of Critical Care Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - Xuezhong Xing
- Department of Critical Care Medicine, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing 100000, China
| | - Changsong Wang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China; Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin 150001, China.
| | - Donghao Wang
- Department of Critical Care Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
| | - Kaijiang Yu
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
| |
Collapse
|
21
|
Zhu X, Liu X, Wan Z, Hui J, Tao R, Peng X, Su J, Huang Y, Zhu B. Safety and efficacy of PD-1 inhibitors in HIV-infected patients with severe comorbidities: a prospective observational cohort study. Chin Med J (Engl) 2023; 136:2750-2752. [PMID: 37882105 PMCID: PMC10685422 DOI: 10.1097/cm9.0000000000002883] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Indexed: 10/27/2023] Open
Affiliation(s)
| | | | | | | | | | | | | | | | - Biao Zhu
- Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
| |
Collapse
|
22
|
Wan Z, Dai B, Zhu X, Huang Y, Zhu B. HIV-associated dyslipidemia: pathogenesis and its management. Chin Med J (Engl) 2023; 136:2732-2734. [PMID: 37881960 PMCID: PMC10684235 DOI: 10.1097/cm9.0000000000002879] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Indexed: 10/27/2023] Open
Affiliation(s)
| | | | | | | | - Biao Zhu
- Department of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
| |
Collapse
|
23
|
Zhan H, Chen B, Zhu B, Li X, Han Z, Sun J, Huang H. Construction of 5-methyleneoxazolidine-2,4-diones bearing modifiable halogen groups through a halopalladation strategy. Chem Commun (Camb) 2023; 59:13631-13634. [PMID: 37902867 DOI: 10.1039/d3cc04475k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Based on a halopalladation strategy, we successfully developed a haloesterification reaction of propargylic amides to synthesize a diverse range of 5-(halomethylene)oxazolidine-2,4-diones. This reaction demonstrates good yield and compatibility with various functional groups. Notably, the halogen atoms present in the resulting products can be readily substituted by other functional groups, highlighting the versatility and appeal of this method. Additionally, we have achieved the successful cyclizative dimerization of propargylic amides to produce bisoxazolidine-2,4-dione derivatives.
Collapse
Affiliation(s)
- Huilin Zhan
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, China.
| | - Bin Chen
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, China.
| | - Biao Zhu
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, China.
| | - Xiang Li
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, China.
| | - Zhengyu Han
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, China.
| | - Jianwei Sun
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Hai Huang
- Jiangsu Key Laboratory of Advanced Catalytic Materials & Technology, School of Petrochemical Engineering, Changzhou University, Changzhou, China.
| |
Collapse
|
24
|
Fan L, Zhang Z, Zhu B, Zuo D, Yu X, Wang Y. Smart-Data-Glove-Based Gesture Recognition for Amphibious Communication. Micromachines (Basel) 2023; 14:2050. [PMID: 38004907 PMCID: PMC10673220 DOI: 10.3390/mi14112050] [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] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/23/2023] [Accepted: 10/30/2023] [Indexed: 11/26/2023]
Abstract
This study has designed and developed a smart data glove based on five-channel flexible capacitive stretch sensors and a six-axis inertial measurement unit (IMU) to recognize 25 static hand gestures and ten dynamic hand gestures for amphibious communication. The five-channel flexible capacitive sensors are fabricated on a glove to capture finger motion data in order to recognize static hand gestures and integrated with six-axis IMU data to recognize dynamic gestures. This study also proposes a novel amphibious hierarchical gesture recognition (AHGR) model. This model can adaptively switch between large complex and lightweight gesture recognition models based on environmental changes to ensure gesture recognition accuracy and effectiveness. The large complex model is based on the proposed SqueezeNet-BiLSTM algorithm, specially designed for the land environment, which will use all the sensory data captured from the smart data glove to recognize dynamic gestures, achieving a recognition accuracy of 98.21%. The lightweight stochastic singular value decomposition (SVD)-optimized spectral clustering gesture recognition algorithm for underwater environments that will perform direct inference on the glove-end side can reach an accuracy of 98.35%. This study also proposes a domain separation network (DSN)-based gesture recognition transfer model that ensures a 94% recognition accuracy for new users and new glove devices.
Collapse
Affiliation(s)
- Liufeng Fan
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China; (L.F.); (Z.Z.); (X.Y.); (Y.W.)
| | - Zhan Zhang
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China; (L.F.); (Z.Z.); (X.Y.); (Y.W.)
| | - Biao Zhu
- Department of Electronic and Information Science, University of Science and Technology of China, Hefei 230052, China;
| | - Decheng Zuo
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China; (L.F.); (Z.Z.); (X.Y.); (Y.W.)
| | - Xintong Yu
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China; (L.F.); (Z.Z.); (X.Y.); (Y.W.)
| | - Yiwei Wang
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China; (L.F.); (Z.Z.); (X.Y.); (Y.W.)
| |
Collapse
|
25
|
Chen Y, Hu C, Wang Z, Su J, Wang S, Li B, Liu X, Yuan Z, Li D, Wang H, Zhu B, Shao Y. Immunity Induced by Inactivated SARS-CoV-2 Vaccine: Breadth, Durability, Potency, and Specificity in a Healthcare Worker Cohort. Pathogens 2023; 12:1254. [PMID: 37887770 PMCID: PMC10610065 DOI: 10.3390/pathogens12101254] [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: 08/27/2023] [Revised: 09/29/2023] [Accepted: 10/15/2023] [Indexed: 10/28/2023] Open
Abstract
Vaccination has proven to be highly effective against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but the long-term immunogenicity and the functional preserved immune responses of vaccines are needed to inform evolving evidence-based guidelines for boosting schedules. We enrolled 205 healthcare workers into a cohort study; all had received three doses of BBIBP-CorV (China Sinopharm Bio-Beijing Company, Beijing, China) inactivated vaccine. We assessed SARS-CoV-2 specific binding antibodies, neutralizing antibodies, and peripheral T and B cell responses. We demonstrated that more robust antibody responses to SARS-CoV-2 were elicited by booster immunization compared with primary vaccination. Neutralizing antibody titers to SARS-CoV-2 Omicron BA.1 were also efficiently elevated post-homologous vaccine booster despite being in a lower titer compared with the prototype stain. In addition to S-specific humoral and cellular immunity, BBIBP-CorV also induced N-specific antibody and effector T cell responses. The third-dose vaccination led to further expansion of critical polyfunctional T cell responses, likely an essential element for vaccine protection. In particular, a functional role for Tfh cell subsets in immunity was suggested by the correlation between both CD4+ Tfh and CD8+ Tfh with total antibody, IgG, B cell responses, and neutralizing antibodies. Our study details the humoral and cellular responses generated by the BBIBP-CorV booster vaccination in a seven-month follow-up study. There is a clear immunologic boosting value of homologous inactivated SARS-CoV-2 vaccine boosters, a consideration for future vaccine strategies.
Collapse
Affiliation(s)
- Ying Chen
- Department of Infectious Diseases, Zhejiang Hospital, Hangzhou 310003, China;
| | - Caiqin Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
| | - Zheng Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Junwei Su
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
| | - Shuo Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Bin Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Xiang Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
| | - Zhenzhen Yuan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Dan Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Hong Wang
- Department of Infectious Diseases, Zhejiang Hospital, Hangzhou 310003, China;
| | - Biao Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
| | - Yiming Shao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
- Changping Laboratory, Beijing 102206, China
| |
Collapse
|
26
|
Zhang X, Li H, Tang L, Zhu B, Yang W, Li M, Zhao Y. Photobiomodulation therapy enhances neural differentiation of dental pulp stem cells via ERK1/2 signaling pathway. Photochem Photobiol 2023. [PMID: 37815161 DOI: 10.1111/php.13864] [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] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/11/2023]
Abstract
Photobiomodulation therapy (PBMT) is the application of a low-level laser device to generate physiological changes and provide therapeutic effects. Till now, the effects of PBMT on the neural differentiation of mesenchymal stem cells have been rarely reported. Herein, the potential effect and mechanism of PBMT on the neural differentiation of dental pulp stem cells (DPSCs) were preliminarily investigated in our research. The optimal dose of 3.75 J/cm2 was first screened for use in the following neural-inducing studies. Then, DPSCs were cultured in neural induction medium and treated with laser irradiation for 7 days. From the results of morphology and immunofluorescence, we found that irradiation promoted the formation of neural stem cell-like spheroids derived from DPSCs and enhanced potential neural differentiation. Furthermore, neural differentiation gene expressions of Nestin, microtubule-associated protein-2, and neural cell adhesion molecule were increased after PBMT irradiation. The protein expressions of class III β-tubulin and neurogenic differentiation factor 1 were also improved. Meanwhile, the involvement of extracellular signal-regulated kinase (ERK1/2) was investigated by western blot. Our study showed that the neural differentiation of DPSCs was promoted by PBMT, and the underlying mechanism in this process was associated with activating the ERK1/2 signaling pathway.
Collapse
Affiliation(s)
- Xinran Zhang
- Department of Stomatology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Haotian Li
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lu Tang
- Department of Stomatology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Biao Zhu
- Department of Stomatology, Fu Xing Hospital, Capital Medical University, Beijing, China
| | - Wenwen Yang
- Department of Stomatology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Miao Li
- Department of Stomatology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ying Zhao
- Department of Stomatology, Xuanwu Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
27
|
Wang A, Zhu B, Huang J, Wong MCS, Xue H. Quality of primary healthcare in China: challenges and strategies. Hong Kong Med J 2023; 29:372-374. [PMID: 37794614 DOI: 10.12809/hkmj235149] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023] Open
Affiliation(s)
- A Wang
- School of Economics and Management, Xidian University, Xi'an, China
| | - B Zhu
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - J Huang
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Editor-in-Chief, Hong Kong Medical Journal
| | - M C S Wong
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Editor-in-Chief, Hong Kong Medical Journal
- School of Public Health, Fudan University, Shanghai, China
- The Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- School of Public Health, Peking University, Beijing, China
| | - H Xue
- Stanford Center on China's Economy and Institutions, Freeman Spogli Institute for International Studies, Stanford University, Stanford, United States
| |
Collapse
|
28
|
Zhao Z, Zhang Z, Liu J, Xia Z, Xing Q, Zhang Y, Zheng Y, Shen L, Lin Q, Gu D, Wang P, Zhang S, Li F, Zhu B. Supine transfer test-induced changes in cardiac index predict fluid responsiveness in patients without intra-abdominal hypertension. BMC Anesthesiol 2023; 23:318. [PMID: 37723480 PMCID: PMC10506238 DOI: 10.1186/s12871-023-02280-0] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/14/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND The reversible maneuver that mimics the fluid challenge is a widely used test for evaluating volume responsiveness. However, passive leg raising (PLR) does have certain limitations. The aim of the study is to determine whether the supine transfer test could predict fluid responsiveness in adult patients with acute circulatory failure who do not have intra-abdominal hypertension, by measuring changes in cardiac index (CI). METHODS Single-center, prospective clinical study in a 25-bed surgery intensive care unit at the Fudan University Shanghai Cancer Center. Thirty-four patients who presented with acute circulatory failure and were scheduled for fluid therapy. Every patient underwent supine transfer test and fluid challenge with 500 mL saline for 15-30 min. There were four sequential steps in the protocol: (1) baseline-1: a semi-recumbent position with the head of the bed raised to 45°; (2) supine transfer test: patients were transferred from the 45° semi-recumbent position to the strict supine position; (3) baseline-2: return to baseline-1 position; and (4) fluid challenge: administration of 500 mL saline for 15-30 min. Hemodynamic parameters were recorded at each step with arterial pulse contour analysis (ProAQT/Pulsioflex). A fluid responder was defined as an increase in CI ≥ 15% after fluid challenge. The receiver operating characteristic curve and gray zone were defined for CI. RESULTS Seventeen patients were fluid challenge. The r value of the linear correlations was 0.73 between the supine transfer test- and fluid challenge-induced relative CI changes. The relative changes in CI induced by supine transfer in predicting fluid responsiveness had an area under the receiver operating characteristic curve of 0.88 (95% confidence interval 0.72-0.97) and predicted a fluid responder with 76.5% (95% confidence interval 50.1-93.2) sensitivity and 88.2% (95% confidence interval 63.6-98.5) specificity, at a best threshold of 5.5%. Nineteen (55%) patients were in the gray zone (CI ranging from -3 and 8 L/min/m2). CONCLUSION The supine transfer test can potentially assist in detecting fluid responsiveness in patients with acute circulatory failure without intra-abdominal hypertension. Nevertheless, the small threshold and the 55% gray zone were noteworthy limitation. TRIAL REGISTRATION Predicting fluid responsiveness with supine transition test (ChiCTR2200058264). Registered 2022-04-04 and last refreshed on 2023-03-26, https://www.chictr.org.cn/showproj.html?proj=166175 .
Collapse
Affiliation(s)
- Zhiyong Zhao
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Zhongwei Zhang
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Jing Liu
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Zhili Xia
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Qian Xing
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Yaodong Zhang
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Yijun Zheng
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Lihua Shen
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Qionghua Lin
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Danyan Gu
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Pengmei Wang
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Shan Zhang
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Fangfang Li
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Biao Zhu
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| |
Collapse
|
29
|
Xu L, Zhou M, Peng X, Xu Y, Huang F, Wang L, Peng X, Yang Z, Tao R, Lang G, Cao Q, Li M, Huang Y, Zhu B, Xu Y. The central nervous system is a potential reservoir and possible origin of drug resistance in hepatitis B infection. J Virus Erad 2023; 9:100348. [PMID: 37771603 PMCID: PMC10523273 DOI: 10.1016/j.jve.2023.100348] [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: 08/15/2023] [Accepted: 09/06/2023] [Indexed: 09/30/2023] Open
Abstract
Background The significance of hepatitis B virus (HBV) in cerebrospinal fluid (CSF) is unclear. Methods Synchronous serum and CSF samples were collected from 13 patients. HBV DNA, full-length genome, quasispecies, phylogenetic tree, compartmentalization and mutation of the reverse transcriptase (RT) region were performed based on PCR and sequencing methods. Results HBV DNA was detected in the CSF of 3 antiviral-naïve individuals and 1 individual after successful antiviral therapy. Complete full-length HBV genomes were isolated from the CSF of 5 individuals, including 2 with undetectable serum HBV DNA. Ten individuals exhibited distinct CSF-serum quasispecies, 8 harbored independent CSF-serum genetic compartmentalization and phylogenetic trees, and 5 lamivudine/entecavir-associated resistance mutations only in the CSF. The frequencies of rtL180M and rtM204I/V mutations in both serum and CSF were higher in HIV-HBV-coinfected individuals than in the HBV-monoinfected ones (serum: rtL180M: 3.9% vs. 0, P = 0.004; rtM204I/V: 21.3% vs. 0, P < 0.001; CSF: rtL180M: 7.6% vs. 0, P = 0.026; rtM204I/V 7.6% vs. 1.6%, P = 0.097). Conclusion CSF is a potential HBV reservoir, and HBV in CSF harbors distinct evolution and mutation characteristics from those in serum. HIV infection increases the possibility of HBV rtL180M and rtM204I/V mutations in both serum and CSF.
Collapse
Affiliation(s)
- Lijun Xu
- Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Minghan Zhou
- Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiuming Peng
- Department of Respiratory Medicine, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yufan Xu
- Department of Pathology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Fan Huang
- Department of Infectious Disease, Jianxin Hospital of Fujian Province, Fuzhou, China
| | - Linyun Wang
- College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaorong Peng
- Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Zongxing Yang
- Department II of Infectious Diseases, Xixi Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Ran Tao
- Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Guanjing Lang
- Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Qing Cao
- Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Minwei Li
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Ying Huang
- Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Biao Zhu
- Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yan Xu
- Department of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| |
Collapse
|
30
|
Zhu Z, Hu C, Liu Y, Wang F, Zhu B. Inulin has a beneficial effect by modulating the intestinal microbiome in a BALB/c mouse model. Benef Microbes 2023; 14:371-383. [PMID: 38661353 DOI: 10.1163/18762891-20220094] [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: 08/07/2022] [Accepted: 06/07/2023] [Indexed: 04/26/2024]
Abstract
Food allergy is an important health problem that affects human quality of life and socioeconomic development, and its treatment requires improvement. Intestinal flora dysbiosis is closely associated with food allergies. A sensitised mouse model was established by the intraperitoneal injection of ovalbumin (OVA). The mice were randomly divided into four groups: control, model, high-dose (H), and low-dose (L) inulin. The mice were administered water containing different concentrations of inulin four weeks before the OVA injection. Body weight changes were monitored. After the last OVA injection, the mice were scored for allergic reactions. The levels of total immunoglobulin E (IgE) and diamine oxidase (DAO) in the serum and secretory IgA (sIgA) in the small intestinal mucus were measured, and 16S rRNA sequencing of the faecal flora was performed to evaluate microbial parameters. The intestinal flora biomarkers, correlations between them, and biochemical indicators were analysed. Inulin treatment had no effect on the body weight of OVA-sensitised mice but attenuated allergic reactions and intestinal injury in mice. Compared with the control group, the model group had significantly higher levels of serum DAO and IgE and significantly lower levels of intestinal mucus IgA. IgA levels in the intestinal mucus of mice treated with inulin prior to OVA sensitisation were higher than those in non-inulin-treated OVA-sensitised mice. Furthermore, analysis of operational taxonomic units showed that inulin treatment decreased the abundance of Alloprevotella, Rikenellaceae RC9, Eubacterium siraeum, and Eubacterium xylanophilum, and increased the abundance of Blautia and Lachnospiraceae. Serum DAO levels were positively associated with Eubacterium siraeum, Alloprevotella, Eubacterium xylanophilum, and Odoribacter and negatively associated with Blautia, Tyzzerella, Alistipes, Desulfovibrionaceae, and Ruminococcaceae UCG005. In addition, IgE levels were positively associated with Eubacterium siraeum, Alloprevotella, Eubacterium xylanophilum, Odoribacter, and Citrobacter and negatively associated with Blautia, unclassified Ruminococcaceae, and Alistipes. IgA exhibited significant positive correlation with Blautia, norank_f_Eubacterium coprostanoligenes, Alistipes, norank Desulfovibrionaceae, Muribaculum, and Ruminococcaceae U C G 005 and significant negative correlation with Eubacterim siraeum, Eubacterium xylanophilum, Odoribacter, and Citrobacter. Inulin exerts a protective effect against food allergies in mice, which is partially mediated by alterations in the gut microbiota.
Collapse
Affiliation(s)
- Z Zhu
- Department of Child Gastroenterology, Maternal and Child Health Hospital of Hubei Province (Women and Children's Hospital of Hubei Province), Tongji Medical College, Huazhong University of Science and Technology, 430070 Wuhan, Hubei, China P.R
| | - C Hu
- Department of Child Gastroenterology, Maternal and Child Health Hospital of Hubei Province (Women and Children's Hospital of Hubei Province), Tongji Medical College, Huazhong University of Science and Technology, 430070 Wuhan, Hubei, China P.R
| | - Y Liu
- Department of Child Gastroenterology, Maternal and Child Health Hospital of Hubei Province (Women and Children's Hospital of Hubei Province), Tongji Medical College, Huazhong University of Science and Technology, 430070 Wuhan, Hubei, China P.R
| | - F Wang
- Department of Child Gastroenterology, Maternal and Child Health Hospital of Hubei Province (Women and Children's Hospital of Hubei Province), Tongji Medical College, Huazhong University of Science and Technology, 430070 Wuhan, Hubei, China P.R
| | - B Zhu
- Department of Infectious Disease, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022 Wuhan, Hubei, China P.R
| |
Collapse
|
31
|
Yang J, Lou J, Zhong W, Li Y, He Y, Su S, Chen X, Zhu B. Chemical Profile of Turnip According to the Plant Part and the Cultivar: A Multivariate Approach. Foods 2023; 12:3195. [PMID: 37685128 PMCID: PMC10486609 DOI: 10.3390/foods12173195] [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: 07/07/2023] [Revised: 08/16/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023] Open
Abstract
Turnip (Brassica rapa subsp. rapa) is a cruciferous plant cultivated worldwide that serves as a source of nutrients and bioactive compounds. Most turnip studies have focused on a few compounds or on part of the plant. The establishment of a complete chemical profile of different plant parts would facilitate its use for nutritional and medicinal purposes. In the current study, mineral elements, soluble sugars, free amino acids (FAA), total phenols (TP), total flavonoids (TF), and glucosinolates (GS) were quantified in the leaves, stems, and roots. Results were compared for 20 strains of turnip. The outcomes showed significant differences between parts of the plant and strains. The leaves exhibited the highest TF, TP, indispensable FAA, and microelement levels, and they showed a higher GS. Moreover, the stems had a high content of GS and macroelements. Furthermore, the roots showed high levels of free sugars and total FAA. The findings of this work provide the basis for utilizing each part of the turnip plant based on its chemical composition.
Collapse
Affiliation(s)
- Jing Yang
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China (Y.L.); (Y.H.)
| | - Jiashu Lou
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China (Y.L.); (Y.H.)
| | - Weiwei Zhong
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China (Y.L.); (Y.H.)
| | - Yaochen Li
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China (Y.L.); (Y.H.)
| | - Yong He
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China (Y.L.); (Y.H.)
| | - Shiwen Su
- Wenzhou Academy of Agricultural Sciences, Wenzhou 325006, China (X.C.)
| | - Xianzhi Chen
- Wenzhou Academy of Agricultural Sciences, Wenzhou 325006, China (X.C.)
| | - Biao Zhu
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China (Y.L.); (Y.H.)
| |
Collapse
|
32
|
Zhang Q, Qin W, Feng J, Li X, Zhang Z, He JS, Schimel JP, Zhu B. Whole-soil-profile warming does not change microbial carbon use efficiency in surface and deep soils. Proc Natl Acad Sci U S A 2023; 120:e2302190120. [PMID: 37523548 PMCID: PMC10410710 DOI: 10.1073/pnas.2302190120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/26/2023] [Indexed: 08/02/2023] Open
Abstract
The paucity of investigations of carbon (C) dynamics through the soil profile with warming makes it challenging to evaluate the terrestrial C feedback to climate change. Soil microbes are important engines driving terrestrial biogeochemical cycles; their carbon use efficiency (CUE), defined as the proportion of metabolized organic C allocated to microbial biomass, is a key regulator controlling the fate of soil C. It has been theorized that microbial CUE should decline with warming; however, empirical evidence for this response is scarce, and data from deeper soils are particularly scarce. Here, based on soil samples from a whole-soil-profile warming experiment (0 to 1 m, +4 °C) and 18O tracing approach, we examined the vertical variation of microbial CUE and its response to ~3.3-y experimental warming in an alpine grassland on the Qinghai-Tibetan Plateau. Microbial CUE decreased with soil depth, a trend that was primarily controlled by soil C availability. However, warming had limited effects on microbial CUE regardless of soil depth. Similarly, warming had no significant effect on soil C availability, as characterized by extractable organic C, enzyme-based lignocellulose index, and lignin phenol-based ratios of vanillyls, syringyls, and cinnamyls. Collectively, our work suggests that short-term warming does not alter microbial CUE in either surface or deep soils, and emphasizes the regulatory role of soil C availability on microbial CUE.
Collapse
Affiliation(s)
- Qiufang Zhang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing100871, China
- School of Geographical Sciences, Fujian Normal University, Fuzhou350117, China
| | - Wenkuan Qin
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing100871, China
| | - Jiguang Feng
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing100871, China
| | - Xiaojie Li
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing100871, China
| | - Zhenhua Zhang
- Qinghai Haibei National Field Research Station of Alpine Grassland Ecosystem, and Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810008China
| | - Jin-Sheng He
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing100871, China
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, and College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou730000, China
| | - Joshua P. Schimel
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA93106
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing100871, China
| |
Collapse
|
33
|
Wang PM, Zhang ZW, Zhang S, Xing Q, Zhao ZY, Lin QH, Shen LH, Xia ZL, Li FF, Zhu B. Characterization of immunomodulatory factors and cells in bronchoalveolar lavage fluid for immune checkpoint inhibitor-related pneumonitis. J Cancer Res Clin Oncol 2023; 149:8019-8026. [PMID: 36944820 PMCID: PMC10374683 DOI: 10.1007/s00432-023-04696-0] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 03/16/2023] [Indexed: 03/23/2023]
Abstract
As immune checkpoint inhibitors (ICIs) are widely used, a series of immune-related adverse events (irAEs) have been reported, including immune checkpoint inhibitor-related pneumonitis (ICI-pneumonitis). The incidence of ICI-pneumonitis is higher in reality than in clinical trials. The diagnosis is challenging, mainly based on clinical and imaging features, and requires the exclusion of other causes. The data on the biological mechanisms of ICI-pneumonitis are scarce, resulting in little knowledge of the best treatment for ICI-pneumonitis. Bronchoalveolar lavage (BAL) may be helpful to identify the biological differences or find predictive biomarkers, and may in turn help to develop phenotype-specific targeted drugs to treat ICI-pneumonitis. Herein, we outline the characterization of immunomodulatory factors and cells in bronchoalveolar lavage fluid for ICI-pneumonitis. Through careful sorting and literature review, we find crosstalk between pathogenic Th17/Th1 cells (i.e., Th17.1) and pro-inflammatory monocytes, and activation of Th17(/Th1)/IL-17A (/IFN-γ) pathways may play a key role in the pathogenesis of ICI-pneumonitis. Disruption of the interaction between pathogenic Th17/Th1 cells and pro-inflammatory monocytes (such as, anti-IL-23) may be a potential treatment for ICI-pneumonitis. We first describe the possible pathophysiological mechanisms of ICI-pneumonitis, hoping to contribute to the optimization of diagnosis and treatment, as well as provide readers with research inspiration.
Collapse
Affiliation(s)
- Peng-Mei Wang
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Zhong-Wei Zhang
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Shan Zhang
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Qian Xing
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Zhi-Yong Zhao
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Qiong-Hua Lin
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Li-Hua Shen
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Zhi-Li Xia
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Fang-Fang Li
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China
| | - Biao Zhu
- Department of Critical Care, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Xuhui District, Shanghai, 200032, China.
| |
Collapse
|
34
|
Cui Y, Peng S, Delgado-Baquerizo M, Rillig MC, Terrer C, Zhu B, Jing X, Chen J, Li J, Feng J, He Y, Fang L, Moorhead DL, Sinsabaugh RL, Peñuelas J. Microbial communities in terrestrial surface soils are not widely limited by carbon. Glob Chang Biol 2023; 29:4412-4429. [PMID: 37277945 DOI: 10.1111/gcb.16765] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 06/07/2023]
Abstract
Microbial communities in soils are generally considered to be limited by carbon (C), which could be a crucial control for basic soil functions and responses of microbial heterotrophic metabolism to climate change. However, global soil microbial C limitation (MCL) has rarely been estimated and is poorly understood. Here, we predicted MCL, defined as limited availability of substrate C relative to nitrogen and/or phosphorus to meet microbial metabolic requirements, based on the thresholds of extracellular enzyme activity across 847 sites (2476 observations) representing global natural ecosystems. Results showed that only about 22% of global sites in terrestrial surface soils show relative C limitation in microbial community. This finding challenges the conventional hypothesis of ubiquitous C limitation for soil microbial metabolism. The limited geographic extent of C limitation in our study was mainly attributed to plant litter, rather than soil organic matter that has been processed by microbes, serving as the dominant C source for microbial acquisition. We also identified a significant latitudinal pattern of predicted MCL with larger C limitation at mid- to high latitudes, whereas this limitation was generally absent in the tropics. Moreover, MCL significantly constrained the rates of soil heterotrophic respiration, suggesting a potentially larger relative increase in respiration at mid- to high latitudes than low latitudes, if climate change increases primary productivity that alleviates MCL at higher latitudes. Our study provides the first global estimates of MCL, advancing our understanding of terrestrial C cycling and microbial metabolic feedback under global climate change.
Collapse
Affiliation(s)
- Yongxing Cui
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Shushi Peng
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Manuel Delgado-Baquerizo
- Laboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), CSIC, Sevilla, Spain
- Unidad Asociada CSIC-UPO (BioFun). Universidad Pablo de Olavide, Sevilla, Spain
| | | | - César Terrer
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Boston, Massachusetts, USA
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Xin Jing
- State Key Laboratory of Grassland Agro-Ecosystems, and College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Ji Chen
- Department of Agroecology, Aarhus University, Tjele, Denmark
| | - Jinquan Li
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Institute of Biodiversity Science and Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China
| | - Jiao Feng
- College of Resources and Environment, Huazhong Agricultural University, Wuhan, China
| | - Yue He
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Linchuan Fang
- School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan, China
| | - Daryl L Moorhead
- Department of Environmental Sciences, University of Toledo, Toledo, Ohio, USA
| | - Robert L Sinsabaugh
- Department of Biology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia, Spain
- CREAF, Cerdanyola del Vallès, Catalonia, Spain
| |
Collapse
|
35
|
Abstract
Soil ecosystems are under considerable pressure due to anthropogenic factors, including microplastics (MPs) pollution and drought. However, little is known about the interactive effects of MPs and drought on soil organisms, especially soil micro-food web. We conducted a microcosm experiment with MPs pollution (including two types and two sizes of MPs) and drought to investigate their interaction effects on soil microbial, protist, and nematode communities in soil micro-food web. We found that MPs significantly decreased the complexity and stability of soil micro-food web, with greater negative effects of biodegradable and smaller-sized MPs than conventional and larger-sized MPs. Drought had negative effects on soil micro-food web in the non-MPs pollution soils while increasing the complexity and stability of soil micro-food web in the MPs pollution soils. Drought increased the proportion of negative correlations between bacteria and fungi in the biodegradable MPs soils while decreasing the proportion of negative correlations between protists and nematodes in the smaller-sized MPs soils. Our study reveals that drought may alleviate the negative effects of MPs on soil micro-food web by reducing competition among lower trophic levels in the biodegradable MPs pollution soils while reducing competition among higher trophic levels in the smaller-sized MPs pollution soils.
Collapse
Affiliation(s)
- Mengli Liu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Chong Wang
- College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| |
Collapse
|
36
|
Hyde PA, Cen J, Cassidy SJ, Rees NH, Holdship P, Smith RI, Zhu B, Scanlon DO, Clarke SJ. Lithium Intercalation into the Excitonic Insulator Candidate Ta 2NiSe 5. Inorg Chem 2023. [PMID: 37466301 PMCID: PMC10394660 DOI: 10.1021/acs.inorgchem.3c01510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
A new reduced phase derived from the excitonic insulator candidate Ta2NiSe5 has been synthesized via the intercalation of lithium. LiTa2NiSe5 crystallizes in the orthorhombic space group Pmnb (no. 62) with lattice parameters a = 3.50247(3) Å, b = 13.4053(4) Å, c = 15.7396(2) Å, and Z = 4, with an increase of the unit cell volume by 5.44(1)% compared with Ta2NiSe5. Significant rearrangement of the Ta-Ni-Se layers is observed, in particular a very significant relative displacement of the layers compared to the parent phase, similar to that which occurs under hydrostatic pressure. Neutron powder diffraction experiments and computational analysis confirm that Li occupies a distorted triangular prismatic site formed by Se atoms of adjacent Ta2NiSe5 layers with an average Li-Se bond length of 2.724(2) Å. Li-NMR experiments show a single Li environment at ambient temperature. Intercalation suppresses the distortion to monoclinic symmetry that occurs in Ta2NiSe5 at 328 K and that is believed to be driven by the formation of an excitonic insulating state. Magnetometry data show that the reduced phase has a smaller net diamagnetic susceptibility than Ta2NiSe5 due to the enhancement of the temperature-independent Pauli paramagnetism caused by the increased density of states at the Fermi level evident also from the calculations, consistent with the injection of electrons during intercalation and formation of a metallic phase.
Collapse
Affiliation(s)
- P A Hyde
- Department of Chemistry, Inorganic Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QR, U.K
| | - J Cen
- Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K
- Thomas Young Centre, University College London, Gower Street, London WC1E 6BT, U.K
| | - S J Cassidy
- Department of Chemistry, Inorganic Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QR, U.K
| | - N H Rees
- Department of Chemistry, Inorganic Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QR, U.K
| | - P Holdship
- Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, U.K
| | - R I Smith
- Rutherford Appleton Laboratory, ISIS Facility, Harwell Campus, Didcot, Oxon OX11 0QX, U.K
| | - B Zhu
- Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K
- Thomas Young Centre, University College London, Gower Street, London WC1E 6BT, U.K
| | - D O Scanlon
- Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K
- Thomas Young Centre, University College London, Gower Street, London WC1E 6BT, U.K
| | - S J Clarke
- Department of Chemistry, Inorganic Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QR, U.K
| |
Collapse
|
37
|
Wang X, Li S, Zhu B, Homyak PM, Chen G, Yao X, Wu D, Yang Z, Lyu M, Yang Y. Long-term nitrogen deposition inhibits soil priming effects by enhancing phosphorus limitation in a subtropical forest. Glob Chang Biol 2023; 29:4081-4093. [PMID: 37096422 DOI: 10.1111/gcb.16718] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 04/08/2023] [Indexed: 05/03/2023]
Abstract
It is widely accepted that phosphorus (P) limits microbial metabolic processes and thus soil organic carbon (SOC) decomposition in tropical forests. Global change factors like elevated atmospheric nitrogen (N) deposition can enhance P limitation, raising concerns about the fate of SOC. However, how elevated N deposition affects the soil priming effect (PE) (i.e., fresh C inputs induced changes in SOC decomposition) in tropical forests remains unclear. We incubated soils exposed to 9 years of experimental N deposition in a subtropical evergreen broadleaved forest with two types of 13 C-labeled substrates of contrasting bioavailability (glucose and cellulose) with and without P amendments. We found that N deposition decreased soil total P and microbial biomass P, suggesting enhanced P limitation. In P unamended soils, N deposition significantly inhibited the PE. In contrast, adding P significantly increased the PE under N deposition and by a larger extent for the PE of cellulose (PEcellu ) than the PE of glucose (PEglu ). Relative to adding glucose or cellulose solely, adding P with glucose alleviated the suppression of soil microbial biomass and C-acquiring enzymes induced by N deposition, whereas adding P with cellulose attenuated the stimulation of acid phosphatase (AP) induced by N deposition. Across treatments, the PEglu increased as C-acquiring enzyme activity increased, whereas the PEcellu increased as AP activity decreased. This suggests that P limitation, enhanced by N deposition, inhibits the soil PE through varying mechanisms depending on substrate bioavailability; that is, P limitation regulates the PEglu by affecting soil microbial growth and investment in C acquisition, whereas regulates the PEcellu by affecting microbial investment in P acquisition. These findings provide new insights for tropical forests impacted by N loading, suggesting that expected changes in C quality and P limitation can affect the long-term regulation of the soil PE.
Collapse
Affiliation(s)
- Xiaohong Wang
- Fujian Sanming Forest Ecosystem National Observation and Research Station, School of Geographical Sciences, Fujian Normal University, Fuzhou, China
- State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou, China
| | - Shiyining Li
- Fujian Sanming Forest Ecosystem National Observation and Research Station, School of Geographical Sciences, Fujian Normal University, Fuzhou, China
- State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou, China
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Peter M Homyak
- Department of Environmental Sciences, University of California, Riverside, California, USA
| | - Guangshui Chen
- Fujian Sanming Forest Ecosystem National Observation and Research Station, School of Geographical Sciences, Fujian Normal University, Fuzhou, China
- State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou, China
| | - Xiaodong Yao
- Fujian Sanming Forest Ecosystem National Observation and Research Station, School of Geographical Sciences, Fujian Normal University, Fuzhou, China
- State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou, China
| | - Dongmei Wu
- Fujian Sanming Forest Ecosystem National Observation and Research Station, School of Geographical Sciences, Fujian Normal University, Fuzhou, China
- State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou, China
| | - Zhijie Yang
- Fujian Sanming Forest Ecosystem National Observation and Research Station, School of Geographical Sciences, Fujian Normal University, Fuzhou, China
- State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou, China
| | - Maokui Lyu
- Fujian Sanming Forest Ecosystem National Observation and Research Station, School of Geographical Sciences, Fujian Normal University, Fuzhou, China
- State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou, China
| | - Yusheng Yang
- Fujian Sanming Forest Ecosystem National Observation and Research Station, School of Geographical Sciences, Fujian Normal University, Fuzhou, China
- State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou, China
| |
Collapse
|
38
|
Ding Y, Xu X, Meng B, Wang L, Zhu B, Guo B, Zhang J, Xiang L, Dong J, Liu M, Xiang G. Myeloid-derived growth factor alleviates non-alcoholic fatty liver disease alleviates in a manner involving IKKβ/NF-κB signaling. Cell Death Dis 2023; 14:376. [PMID: 37365185 DOI: 10.1038/s41419-023-05904-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 05/31/2023] [Accepted: 06/16/2023] [Indexed: 06/28/2023]
Abstract
Whether bone marrow modulates systemic metabolism remains unknown. Our recent study suggested that myeloid-derived growth factor (MYDGF) improves insulin resistance. Here, we found that myeloid cell-specific MYDGF deficiency aggravated hepatic inflammation, lipogenesis, and steatosis, and show that myeloid cell-derived MYDGF restoration alleviated hepatic inflammation, lipogenesis, and steatosis. Additionally, recombinant MYDGF attenuated inflammation, lipogenesis, and fat deposition in primary mouse hepatocytes (PMHs). Importantly, inhibitor kappa B kinase beta/nuclear factor-kappa B (IKKβ/NF-κB) signaling is involved in protection of MYDGF on non-alcoholic fatty liver disease (NAFLD). These data revealed that myeloid cell-derived MYDGF alleviates NAFLD and inflammation in a manner involving IKKβ/NF-κB signaling, and serves as a factor involved in the crosstalk between the liver and bone marrow that regulates liver fat metabolism. Bone marrow functions as an endocrine organ and serves as a potential therapeutic target for metabolic disorders.
Collapse
Affiliation(s)
- Yan Ding
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
- Department of Diagnostics, School of Medicine, Hunan University of Medicine, Huaihua, 418000, Hunan Province, China
| | - Xiaoli Xu
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
- The First School of Clinical Medicine, Southern Medical University, NO.1023, South Shatai Road, Guangzhou, 510515, Guangdong Province, China
| | - Biying Meng
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
- The First School of Clinical Medicine, Southern Medical University, NO.1023, South Shatai Road, Guangzhou, 510515, Guangdong Province, China
| | - Li Wang
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
| | - Biao Zhu
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
| | - Bei Guo
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
| | - Jiajia Zhang
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
| | - Lin Xiang
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
| | - Jing Dong
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
| | - Min Liu
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China
| | - Guangda Xiang
- Department of Endocrinology, General Hospital of Central Theater Command, Wuluo Road 627, Wuhan, 430070, Hubei Province, China.
- The First School of Clinical Medicine, Southern Medical University, NO.1023, South Shatai Road, Guangzhou, 510515, Guangdong Province, China.
| |
Collapse
|
39
|
Zhu W, Zhu B, Liu XG. [Influential factors related to functional status after full-endoscopic lumbar discectomy]. Beijing Da Xue Xue Bao Yi Xue Ban 2023; 55:537-542. [PMID: 37291931] [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: 06/10/2023]
Abstract
OBJECTIVE To explore the influential factors associated with functional status of those patients who undertook a full-endoscopic lumbar discectomy operation. METHODS A prospective study was conducted. A total of 96 patients who undertook a full-endoscopic lumbar discectomy operation and met inclusive criteria were enrolled in the study. The postoperative follow-up was held 1 month, 3 months and 6 months after operation. The self-developed record file was used to collect the patient's information and medical history. Visual analogue scale (VAS) score, Oswestry disability index (ODI) score, Gene-ralised anxiety disorder-7 (GAD-7) scale score and patient health questionnaire-9 (PHQ-9) scale score were applied to measure pain intensity, functional status, anxiety status and depression status. Repeated measurement analysis of variance was used to explore the ODI score 1 month, 3 months and 6 months after operation. Multiple linear regression was recruited to illuminate the influential factors associated with functional status after the operation. Logistic regression was employed to explore the independent risk factors related to return to work 6 months after operation. RESULTS The postoperative functional status of the patients improved gradually. The functional status of the patients 1 month, 3 months and 6 months after operation were highly positively correlated with the current average pain intensity. The factors influencing the postoperative functional status of the patients were different according to the recovery stage. One month and 3 months after operation, the factors influencing the postoperative functional status were the current average pain intensity; 6 months after operation, the factors influencing the postoperative functional status included the current average pain intensity, preoperative average pain intensity, gender and educational level. The risk factors influencing return to work 6 months after operation included women, young age, preoperative depression status and high average pain intensity 3 months after operation. CONCLUSION It is feasible to treat chronic low back pain with full-endoscopic lumbar discectomy operation. In the process of postoperative functional status recovery, medical staffs should not only take analgesic mea-sures to reduce the pain intensity experienced by the patients, but also pay attention to the impact of psychosocial factors on the recovery. Women, young age, preoperative depression status, and high average pain intensity 3 months after operation may delay return to work after the operation.
Collapse
Affiliation(s)
- W Zhu
- Department of Pain Medicine, Peking University Third Hospital, Beijing 100191, China
| | - B Zhu
- Department of Pain Medicine, Peking University Third Hospital, Beijing 100191, China
- Department of Orthopedic, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - X G Liu
- Department of Pain Medicine, Peking University Third Hospital, Beijing 100191, China
| |
Collapse
|
40
|
Feng J, Song Y, Zhu B. Ecosystem-dependent responses of soil carbon storage to phosphorus enrichment. New Phytol 2023; 238:2363-2374. [PMID: 36960561 DOI: 10.1111/nph.18907] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/14/2023] [Indexed: 05/19/2023]
Abstract
Phosphorus deposition can stimulate both plant carbon inputs and microbial carbon outputs. However, how P enrichment affects soil organic carbon (SOC) storage and the underlying mechanisms remain unclear. We conducted a meta-analysis of 642 SOC observations from 213 field P addition experiments world-wide and explored the regulations of plant inputs, microbial outputs, plant characteristics, and environmental and experimental factors on SOC responses. We found that, globally, P addition stimulated SOC by 4.0% (95% CI: 2.0-6.0%), but the stimulation only occurred in forest and cropland rather than in grassland. Across sites, the response of SOC correlated with that of plant aboveground rather than belowground biomass, suggesting that the change in plant inputs from aboveground was more important than that from belowground in regulating SOC changes due to P addition. Among multiple factors, plant N fixation status and mean annual temperature were the best predictors for SOC responses to P addition, with SOC stimulation being higher in ecosystems dominated by symbiotic nitrogen fixers and ecosystems in high-temperature regions like tropical forests. Our findings highlight the differential and ecosystem-dependent responses of SOC to P enrichment and can contribute to accurate predictions of soil carbon dynamics in a P-enriched world.
Collapse
Affiliation(s)
- Jiguang Feng
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Yanjun Song
- University of Bordeaux, INRAE, BIOGECO, Pessac, 33615, France
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| |
Collapse
|
41
|
Wan Z, Chen Y, Hui J, Guo Y, Peng X, Wang M, Hu C, Xie Y, Su J, Huang Y, Xu X, Xu Y, Zhu B. Epstein-Barr virus variation in people living with human immunodeficiency virus in southeastern China. Virol J 2023; 20:107. [PMID: 37259131 DOI: 10.1186/s12985-023-02078-z] [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: 07/15/2022] [Accepted: 05/22/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Patients infected with HIV are at high risk of developing Epstein-Barr Virus (EBV)-related diseases. The genotype and viral biological behavior of EBV infection in patients with human immunodeficiency virus-1 (HIV) in China remain unclear. This study analyzed the characteristics of EBV in patients infected with HIV in southeastern China. METHODS A total of 162 HIV-infected patients and 52 patients without HIV were enrolled in this study. EBV viral load in blood was determined by fluorescence quantitative PCR. EBV typing was performed using saliva according to polymorphisms in the EBNA3C region. EBV LMP-1 carboxy terminus (C-ter) was sequenced, and compared with the epidemic strains in the world. RESULTS Among HIV infected patients, the EBV strain variant was mainly EBV-1, while EBV-2 had a higher viral load than EBV-1 (P = 0.001) and EBV-1/2 (P = 0.002). HIV infected patients had higher active virus replication. The EBV LMP-1 variants were mainly the China1 variant. HIV-infected patients had different nucleic acid positions of 30-bp deletion (del30) and had a higher incidence of high 33-bp tandem repeats (rep33) copies than non-HIV-infected patients. There was a difference in the mutations of EBV LMP-1 C-ter del30 and ins15 between HIV infected patients and the control group (P < 0.001). CONCLUSION In southeastern China, EBV in HIV-infected patients had higher active virus replication; EBV infection was mainly EBV-1, and EBV-2 infection has higher EBV virus load; hotspot mutations of LMP-1 C-ter were different between HIV-infected patients and non-HIV-infected patients. TRIAL REGISTRATION This study was approved by the ethics committee of the First Affiliated Hospital of Zhejiang University School of Medicine (Approval No. 2018764), and registered in Chinese Clinical Trial Registry on 3 June 2019 (ChiCTR, ChiCTR1900023600, http://www.chictr.org.cn/usercenter.aspx ).
Collapse
Affiliation(s)
- Zhikai Wan
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Ying Chen
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Jiangjin Hui
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Yongzheng Guo
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Xiaorong Peng
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Mengyan Wang
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Caiqin Hu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Yirui Xie
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Junwei Su
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Ying Huang
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Xiaoke Xu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Yan Xu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China
| | - Biao Zhu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qing Chun Road, Hangzhou, 310006, China.
| |
Collapse
|
42
|
Yang J, Li Y, He Y, He H, Chen X, Liu T, Zhu B. Wild vs. Cultivated Zingiber striolatum Diels: Nutritional and Biological Activity Differences. Plants (Basel) 2023; 12:plants12112180. [PMID: 37299159 DOI: 10.3390/plants12112180] [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] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 05/25/2023] [Accepted: 05/26/2023] [Indexed: 06/12/2023]
Abstract
Compositional, functional, and nutritional properties are important for the use-value assessments of wild and cultivated edible plants. The aim of this study was to compare the nutritional composition, bioactive compounds, volatile compounds, and potential biological activities of cultivated and wild Zingiber striolatum. Various substances, such as soluble sugars, mineral elements, vitamins, total phenolics, total flavonoids, and volatiles, were measured and analyzed using UV spectrophotometry, ICP-OES, HPLC, and GC-MS methods. The antioxidant capacity of a methanol extract of Z. striolatum, as well as the hypoglycemic abilities of its ethanol and water extracts, were tested. The results showed that the contents of soluble sugar, soluble protein, and total saponin in the cultivated samples were higher, while the wild samples contained higher amounts of K, Na, Se, vitamin C, and total amino acids. The cultivated Z. striolatum also showed a higher antioxidant potential, while the wild Z. striolatum exhibited a better hypoglycemic activity. Thirty-three volatile compounds were identified using GC-MS in two plants, with esters and hydrocarbons being the main volatile compounds. This study demonstrated that both cultivated and wild Z. striolatum have a good nutritional value and biological activity, and can be used as a source of nutritional supplementation or even in medication.
Collapse
Affiliation(s)
- Jing Yang
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China
| | - Yaochen Li
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China
| | - Yuxin He
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China
| | - Hongying He
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China
| | - Xiaoqi Chen
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China
- School of Information and Electrical Engineering, Hangzhou City University, Hangzhou 310015, China
| | - Tingfu Liu
- Lishui Academy of Agricultural Sciences, Lishui 323000, China
| | - Biao Zhu
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China
| |
Collapse
|
43
|
Zhou F, Yang Y, Zhang L, Cheng Y, Han B, Lu Y, Wang C, Wang Z, Yang N, Fan Y, Wang L, Ma Z, Zhang L, Yao Y, Zhao J, Dong X, Zhu B, Zhou C. Expert consensus of management of adverse drug reactions with anaplastic lymphoma kinase tyrosine kinase inhibitors. ESMO Open 2023; 8:101560. [PMID: 37230029 DOI: 10.1016/j.esmoop.2023.101560] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/26/2023] [Accepted: 04/11/2023] [Indexed: 05/27/2023] Open
Abstract
Anaplastic lymphoma kinase (ALK) rearrangements occur in ∼3%-6% of patients with advanced non-small-cell lung cancer (NSCLC). Small molecular drugs that effectively inhibit ALK gene have revolutionized the therapeutic paradigm for patients with ALK rearrangements, resulting in significant improvements in objective response rate, progression-free survival, and overall survival compared with classical platinum-based chemotherapy. Several ALK tyrosine kinase inhibitors (ALK-TKIs), including crizotinib, alectinib, ceritinib, brigatinib, ensartinib, and lorlatinib, have been recommended as standard first-line treatment for advanced NSCLC patients with ALK rearrangements. Patients with ALK rearrangements typically exhibit long-term durable responses to ALK-TKIs; therefore, the management of adverse drug reactions (ADRs) with ALK-TKIs is crucial in clinical practice to maximize clinical benefits, prevent an adverse impact on quality of life, and improve patient compliance. In general, ALK-TKIs are well tolerated. There are, however, a number of serious toxicities that may necessitate dose modification or even discontinuation of treatment and the management of ADRs with ALK-TKIs has grown in importance. The therapeutic use of this class of medications still carries some risk because there are currently no pertinent guidelines or consensus recommendations for managing ADRs caused by ALK-TKIs in China. In order to improve the clinical management of ADRs with ALK-TKIs, the Chinese Society of Clinical Oncology (CSCO) Non-small Cell Lung Cancer Professional Committee led the discussion and summary of the incidence, diagnosis and grading standards, and prevention and treatment of ADRs caused by ALK-TKIs.
Collapse
Affiliation(s)
- F Zhou
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai
| | - Y Yang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou
| | - L Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou
| | - Y Cheng
- Department of Internal Medicine-Oncology, Jilin Cancer Hospital, Changchun
| | - B Han
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai
| | - Y Lu
- Department of Thoracic Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu
| | - C Wang
- Department of Lung Cancer, Lung Cancer Center, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin
| | - Z Wang
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Jinan
| | - N Yang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha
| | - Y Fan
- Department of Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou
| | - L Wang
- Department of Medical Oncology, Drum Tower Hospital Affiliated to Medical School of Nanjing University, Nanjing
| | - Z Ma
- Department of Respiratory Medicine, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Zhengzhou
| | - L Zhang
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou
| | - Y Yao
- Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an
| | - J Zhao
- Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing
| | - X Dong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - B Zhu
- Department of Oncology, Xinqiao Hospital, The Army Medical University, Chongqing, China
| | - C Zhou
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai.
| |
Collapse
|
44
|
Zhao Y, Zhao X, Zhu Q, Zhu B, Zhang Z, Chen J. [Therapeutic mechanism of Guizhi Gancao Decoction for heart failure: a network pharmacology-based analysis]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:772-782. [PMID: 37313819 DOI: 10.12122/j.issn.1673-4254.2023.05.13] [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: 06/15/2023]
Abstract
OBJECTIVE To predict the targets and pathways in the therapeutic mechanism of Guizhi Gancao Decoction (GZGCD) against heart failure (HF) based on network pharmacology. METHODS The chemical components of GZGCD were analyzed using the databases including TCMSP, TCMID and TCM@Taiwan, and the potential targets of GZGCD were predicted using the SwissTargetPrediction database. The targets of HF were obtained using the databases including DisGeNET, Drugbank and TTD. The intersection targets of GZGCD and HF were identified using VENNY. Uniport database was used to convert the information, and the components-targets-disease network was constructed using Cytoscape software. The Bisogene plug-in, Merge plug-in, and CytoNCA plug-in in Cytoscape software were used for protein-protein interaction (PPI) analysis to acquire the core targets. Metascape database was used for GO and KEGG analysis. The results of network pharmacology analysis were verified with Western blot analysis. Three factors (PKCα, ERK1/2 and BCL2) were screened according to the degree value of network pharmacology results and the degree of correlation with heart failure process. The pentobarbtal sodium was dissolvein H9C2 cells treated with serum-free high glucose medium to simulate the ischemic anoxic environment of heart failure. The total proteins of myocardial cells were extracted. The protein contents of PKCα, ERK1/2 and BCL2 were determined. RESULTS We identified a total of 190 intersection targets between GZGCD and HF using Venny database, involving mainly the circulatory system process, cellular response to nitrogen compounds, cation homeostasis, and regulation of the MAPK cascade. These potential targets were also involved in 38 pathways, including the regulatory pathways in cancer, calcium signal pathway, cGMP-PKG signal pathway, and cAMP signal pathway. Western blot analysis showed that in an in vitro H9C2 cell model of HF, treatment with GZGCD downregulated PKCα and ERK1/2 expressions and upregulated BCL2 expression. CONCLUSION The therapeutic mechanism of GZGCD for HF involves multiple targets including PRKCA, PRKCB, MAPK1, MAPK3, and MAPK8 and multiple pathways including the regulatory pathway in cancer and the calcium signaling pathway.
Collapse
Affiliation(s)
- Y Zhao
- Second Clinical Medical College, Dalian Medical University, Dalian 116044, China
| | - X Zhao
- Institute (College) of Integrative Medicine, Dalian Medical University, Dalian 116044, China
| | - Q Zhu
- Institute (College) of Integrative Medicine, Dalian Medical University, Dalian 116044, China
| | - B Zhu
- Second Clinical Medical College, Dalian Medical University, Dalian 116044, China
| | - Z Zhang
- Second Clinical Medical College, Dalian Medical University, Dalian 116044, China
| | - J Chen
- Institute (College) of Integrative Medicine, Dalian Medical University, Dalian 116044, China
| |
Collapse
|
45
|
Wu S, Sheng L, Fan S, Guo X, Zhu B, Wu C, Lei B. Heterogeneity in clinical prognosis, immune infiltration and molecular characteristics of three glycolytic subtypes in lower-grade gliomas. Front Oncol 2023; 13:1180662. [PMID: 37274274 PMCID: PMC10233122 DOI: 10.3389/fonc.2023.1180662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/24/2023] [Indexed: 06/06/2023] Open
Abstract
Background and purpose Lower-grade gliomas (LGG) exhibit a wide range of metabolic pathway changes, and metabolic reprogramming can be largely seen as a result of oncogenic driving events. Glycolysis, an important pathway of tumor energy source, has been poorly studied in gliomas. The aim of this article is to analyze the relationship between glycolysis and lower-grade glioma development and prognosis in order to explore the heterogeneous relevance of glycolysis in lower-grade gliomas. Methods and results Our study searched the TCGA database and identified three glycolytic subtypes with significant prognostic differences by unsupervised clustering analysis of core glycolytic genes, named C1, C2, and C3. By analysis of clinical prognosis, somatic cell variation, and immune infiltration, we found that C3 had the best prognosis with molecular features of IDHmut-codel, followed by C1 with major molecular features of IDHmut-non-codel, G -CIMP high subtype, while C2 had the worst prognosis, mainly exhibiting IDHwt, G-CIMP low and mesenchymal-like subtypes with seven important CNV features, including CDKN2A/B deletion, chr7 gain and chr10 deletion, chr19/20 co-gain, EGFR amplification and PDGFRA/B deletion phenotypes were significantly increased, with the highest level of stemness and significant T-cell depletion features. Finally, to quantify the level of abnormal glycolysis and its impact on prognosis, we developed GlySig to reflect the glycolytic activity of LGG and integrated molecular features to construct nomogram that can be independently assessed to predict prognosis. Conclusions Our study analyzed the tumor characteristics of different glycolytic states, and our findings explain and describe the heterogeneity of glycolytic metabolism within diffuse LGGs.
Collapse
Affiliation(s)
| | | | | | | | - Biao Zhu
- *Correspondence: Bing Lei, ; Cheng Wu, ; Biao Zhu,
| | - Cheng Wu
- *Correspondence: Bing Lei, ; Cheng Wu, ; Biao Zhu,
| | - Bing Lei
- *Correspondence: Bing Lei, ; Cheng Wu, ; Biao Zhu,
| |
Collapse
|
46
|
Bao X, Lu D, Wang Z, Yin H, Zhu B, Chen B, Shi M, Zhang Y, Xu Q, Qin Y, Shen XC, Wu K. Significantly enhanced photothermal catalytic CO 2 reduction over TiO 2/g-C 3N 4 composite with full spectrum solar light. J Colloid Interface Sci 2023; 638:63-75. [PMID: 36736119 DOI: 10.1016/j.jcis.2023.01.096] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 11/03/2022] [Revised: 01/14/2023] [Accepted: 01/20/2023] [Indexed: 01/22/2023]
Abstract
Using solar energy to drive catalytic conversion of CO2 into value-added chemicals has great potential to alleviate the global energy shortage and anthropogenic climate change. Herein, a "hitting three birds with one stone" strategy was reported to prepared boron-doped g-C3N4/TiO2-x composite (BCT) by a one-step thermal reduction process. A series of characterizations showed that the composite catalyst has extended full-spectrum absorption, rapid photogenerated charge separation, and outstanding CO2 photoreduction performance (265.2 μmol g-1h-1), which is 7.5 and 9.2 times higher than that of pure TiO2 and g-C3N4, respectively. In addition, the CO2 conversion rate can be further increased to 345.1 μmol g-1h-1 at 70 °C due to its excellent photothermal conversion. Mechanistic studies reveal that synergistic effects alter the charge density distribution, thereby lowering the energy barrier for CO2 conversion by adsorbing and activating CO2 molecules. This work provides a novel three-in-one integrated strategy for fabricating high-efficiency catalysts.
Collapse
Affiliation(s)
- Xiaoyan Bao
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China
| | - Dawei Lu
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China
| | - Zining Wang
- BNLMS, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Hao Yin
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China
| | - Biao Zhu
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China
| | - Bin Chen
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China
| | - Meixiang Shi
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China
| | - Yang Zhang
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China
| | - Qianxin Xu
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China
| | - Yumei Qin
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China.
| | - Xing-Can Shen
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science, Guangxi Normal University, Guilin 541004, China.
| | - Kai Wu
- BNLMS, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
| |
Collapse
|
47
|
Gu D, Tong M, Wang J, Zhang B, Liu J, Song G, Zhu B. Overexpression of the lncRNA HOTAIRM1 promotes lenvatinib resistance by downregulating miR-34a and activating autophagy in hepatocellular carcinoma. Discov Oncol 2023; 14:66. [PMID: 37171645 PMCID: PMC10182232 DOI: 10.1007/s12672-023-00673-8] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/26/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is one of the most common malignant cancers in humans and has a high fatality rate. Despite pharmacological advances such as sorafenib and lenvatinib approval, responses are seen only in a limited fraction of HCCs, and the majority of HCC patients do not benefit from this treatment. In recent years, researchers have verified that the long noncoding RNAs (lncRNAs) impact the efficiency of lenvatinib and the prognosis of patients with HCC. MATERIALS AND METHODS This work obtained gene expression profile from an Arraystar lncRNA microarray. Expression of HOTAIRM1, Beclin-1, and p62 in HCC was characterized in clinical HCC tissues of 24 patients with HCC. Overexpression and knockdown experiments were performed in HCC cells to examine the effects of the HOTAIRM1 on lenvatinib sensitivity. The interactions between HOTAIRM1, miR-34a and Beclin-1 were predicted according to GSEA and CNC network. The effects of HOTAIRM1, autophagy and lenvatinib on tumor inhibit were validated in orthotopic tumor-bearing nude mouse model. RESULTS Lenvatinib-resistant HCC cell lines were established using the concentration gradient method. Data from an Arraystar lncRNA microarray indicated that HOTAIRM1, a specific lncRNA located in an evolutionarily highly conserved HOX gene cluster, was differentially expressed between lenvatinib-resistant HCC cells and their parental cells. Expression of HOTAIRM1 and Beclin-1 in HCC was characterized in clinical HCC tissues of 24 patients who have different sensitivity to lenvatinib. Knocking down of HOTAIRM1 decreased the autophagy level in lenvatinib-resistant HCC cells and increased their sensitivity to lenvatinib, especially when combined with autophagy inhibitors both in vitro and in vivo. Further study indicated that knocking down HOTAIRM1 in lenvatinib-resistant cell lines increased the level of miR-34a and inhibited the expression of Beclin-1 in Huh7-R and HepG2-R cells. Investigation according to GSEA and CNC network, lncRNA and nearby coding gene and lncRNA-miRNA analyses demonstrated that the resistance of HCC to lenvatinib was affected by the HOTAIRM1-miR-34a-Beclin-1 regulatory axis. CONCLUSION HOTAIRM1 is an independent drug resistance factor which significantly associated with the efficacy of lenvatinib in HCC. HOTAIRM1 may downregulation of miR-34a and upregulation of Beclin-1, leading to activation of autophagy, thereby inducing lenvatinib resistance in HCC.
Collapse
Affiliation(s)
- Danyan Gu
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Meng Tong
- Department of General Surgery, Jinzhou Medical University, Jinzhou, 121001, China
| | - Jing Wang
- Department of Radiology, Linyi People's Hospital, Linyi, 276000, China
| | - Bocheng Zhang
- Department of General Surgery, Jinzhou Medical University, Jinzhou, 121001, China
| | - Jinghua Liu
- Department of Hepatobiliary Surgery and Minimally Invasive Institute of Digestive Surgery and Prof. Cai's Laboratory, Linyi People's Hospital, Linyi, 276000, China
| | - Guoqiang Song
- Department of Pulmonary, Department of Cancer Center, Changxing Hospital of Traditional Chinese Medicine, Huzhou, 313100, China.
| | - Biao Zhu
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| |
Collapse
|
48
|
Wang Z, Li D, Chen Y, Sun Y, Jin C, Hu C, Feng Y, Su J, Ren L, Hao Y, Wang S, Zhu M, Liu Y, Qi J, Zhu B, Shao Y. Characterization of RBD-specific cross-neutralizing antibodies responses against SARS-CoV-2 variants from COVID-19 convalescents. Front Immunol 2023; 14:1160283. [PMID: 37234155 PMCID: PMC10207940 DOI: 10.3389/fimmu.2023.1160283] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/25/2023] [Indexed: 05/27/2023] Open
Abstract
Introduction The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been posing a severe threat to global public health. Although broadly neutralizing antibodies have been used to prevent or treat corona virus disease 2019 (COVID-19), new emerging variants have been proven resistant to these antibodies. Methods In this study, we isolated receptor binding domain (RBD)-specific memory B cells using single-cell sorting method from two COVID-19 convalescents and expressed the antibody to test their neutralizing activity against diverse SARS-CoV-2 variants. Then, we resolved antibody-RBD complex structures of potent RBD-specific neutralizing antibodies by X-ray diffraction method. Finally, we analyzed the whole antibody repertoires of the two donors and studied the evolutionary pathway of potent neutralizing antibodies. Results and discussion We identified three potent RBD-specific neutralizing antibodies (1D7, 3G10 and 3C11) from two COVID-19 convalescents that neutralized authentic SARS-CoV-2 WH-1 and Delta variant, and one of them, 1D7, presented broadly neutralizing activity against WH-1, Beta, Gamma, Delta and Omicron authentic viruses. The resolved antibody-RBD complex structures of two antibodies, 3G10 and 3C11, indicate that both of them interact with the external subdomain of the RBD and that they belong to the RBD-1 and RBD-4 communities, respectively. From the antibody repertoire analysis, we found that the CDR3 frequencies of the light chain, which shared high degrees of amino acid identity with these three antibodies, were higher than those of the heavy chain. This research will contribute to the development of RBD-specific antibody-based drugs and immunogens against multiple variants.
Collapse
Affiliation(s)
- Zheng Wang
- State Key Laboratory of Infectious Disease Prevention and Control, Division of Research of Virology and Immunology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dan Li
- State Key Laboratory of Infectious Disease Prevention and Control, Division of Research of Virology and Immunology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yulu Chen
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yeping Sun
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Changzhong Jin
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Caiqin Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi Feng
- State Key Laboratory of Infectious Disease Prevention and Control, Division of Research of Virology and Immunology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Junwei Su
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Li Ren
- State Key Laboratory of Infectious Disease Prevention and Control, Division of Research of Virology and Immunology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanling Hao
- State Key Laboratory of Infectious Disease Prevention and Control, Division of Research of Virology and Immunology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuo Wang
- State Key Laboratory of Infectious Disease Prevention and Control, Division of Research of Virology and Immunology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meiling Zhu
- State Key Laboratory of Infectious Disease Prevention and Control, Division of Research of Virology and Immunology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ying Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Division of Research of Virology and Immunology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Biao Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yiming Shao
- State Key Laboratory of Infectious Disease Prevention and Control, Division of Research of Virology and Immunology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| |
Collapse
|
49
|
Wang MP, Xi XM, Zhu B, Lou R, Jiang Q, He Y, Jiang L. [Dose-response association between fluid overload and hospital mortality in patients with sepsis]. Zhonghua Nei Ke Za Zhi 2023; 62:513-519. [PMID: 37096277 DOI: 10.3760/cma.j.cn112138-20220516-00377] [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: 04/26/2023]
Abstract
Objective: To investigate dose-response associations between fluid overload (FO) and hospital mortality in patients with sepsis. Methods: The current cohort study was prospective and multicenter. Data were derived from the China Critical Care Sepsis Trial, which was conducted from January 2013 to August 2014. Patients aged≥18 years who were admitted to intensive care units (ICUs) for at least 3 days were included. Fluid input/output, fluid balance, fluid overload (FO), and maximum FO (MFO) were calculated during the first 3 days of ICU admission. The patients were divided into three groups based on MFO values: MFO<5%L/kg, MFO 5%-10%L/kg, and MFO≥10% L/kg. Kaplan-Meier analysis was used to predict time to death in hospital in the three groups. Associations between MFO and in-hospital mortality were evaluated via multivariable Cox regression models with restricted cubic splines. Results: A total of 2 070 patients were included in the study, of which 1 339 were male and 731 were female, and the mean age was (62.6±17.9) years. Of 696 (33.6%) who died in hospital, 968 (46.8%) were in the MFO<5%L/kg group, 530 (25.6%) were in the MFO 5%-10%L/kg group, and 572 (27.6%) were in the MFO≥10%L/kg group. Deceased patients had significantly higher fluid input than surviving patients during the first 3 days [7 642.0 (2 874.3, 13 639.5) ml vs. 5 738.0 (1 489.0, 7 153.5)ml], and lower fluid output [4 086.0 (1 367.0, 6 354.5) ml vs. 6 130.0 (2 046.0, 11 762.0) ml]. The cumulative survival rates in the three groups gradually decreased with length of ICU stay, and they were 74.9% (725/968) in the MFO<5% L/kg group, 67.7% (359/530) in the MFO 5%-10%L/kg group, and 51.6% (295/572) in the MFO≥10%L/kg group. Compared with the MFO<5%L/kg group, the MFO≥10%L/kg group had a 49% increased risk of inhospital mortality (HR=1.49, 95%CI 1.28-1.73). For each 1% L/kg increase in MFO, the risk of in-hospital mortality increased by 7% (HR=1.07, 95% CI 1.05-1.09). There was a"J-shaped"non-linear association between MFO and in-hospital mortality with a nadir of 4.1% L/kg. Conclusion: Higher and lower optimum fluid balance levels were associated with an increased risk of in-hospital mortality, as reflected by the observed J-shaped non-linear association between fluid overload and inhospital mortality.
Collapse
Affiliation(s)
- M P Wang
- Department of Critical Care Medicine,Xuanwu Hospital,Capital Medical University,Beijing 100053,China
| | - X M Xi
- Department of Critical Care Medicine,Fuxing Hospital,Capital Medical University,Beijing 100038,China
| | - B Zhu
- Department of Critical Care Medicine,Fuxing Hospital,Capital Medical University,Beijing 100038,China
| | - R Lou
- Department of Critical Care Medicine,Xuanwu Hospital,Capital Medical University,Beijing 100053,China
| | - Q Jiang
- Department of Critical Care Medicine,Fuxing Hospital,Capital Medical University,Beijing 100038,China
| | - Y He
- Department of Epidemiology and Health Statistics,School of Public Health,Capital Medical University, Beijing 100069, China
| | - L Jiang
- Department of Critical Care Medicine,Xuanwu Hospital,Capital Medical University,Beijing 100053,China
| |
Collapse
|
50
|
Yin R, Qin W, Wang X, Xie D, Wang H, Zhao H, Zhang Z, He JS, Schädler M, Kardol P, Eisenhauer N, Zhu B. Experimental warming causes mismatches in alpine plant-microbe-fauna phenology. Nat Commun 2023; 14:2159. [PMID: 37061533 PMCID: PMC10105701 DOI: 10.1038/s41467-023-37938-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 04/06/2023] [Indexed: 04/17/2023] Open
Abstract
Long-term observations have shown that many plants and aboveground animals have changed their phenology patterns due to warmer temperatures over the past decades. However, empirical evidence for phenological shifts in alpine organisms, particularly belowground organisms, is scarce. Here, we investigate how the activities and phenology of plants, soil microbes, and soil fauna will respond to warming in an alpine meadow on the Tibetan Plateau, and whether their potential phenological changes will be synchronized. We experimentally simulate an increase in soil temperature by 2-4 °C according to future projections for this region. We find that warming promotes plant growth, soil microbial respiration, and soil fauna feeding by 8%, 57%, and 20%, respectively, but causes dissimilar changes in their phenology during the growing season. Specifically, warming advances soil faunal feeding activity in spring and delays it in autumn, while their peak activity does not change; whereas warming increases the peak activity of plant growth and soil microbial respiration but with only minor shifts in their phenology. Such phenological asynchrony in alpine organisms may alter ecosystem functioning and stability.
Collapse
Affiliation(s)
- Rui Yin
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Wenkuan Qin
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Xudong Wang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Dong Xie
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, and College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Hao Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, and College of Ecology, Lanzhou University, Lanzhou, China
| | - Hongyang Zhao
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Zhenhua Zhang
- Qinghai Haibei National Field Research Station of Alpine Grassland Ecosystem, and Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Jin-Sheng He
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, and College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Martin Schädler
- Helmholtz Centre for Environmental Research-UFZ, Department of Community Ecology, Theodor-Lieder-Strasse 4, 06110, Halle (Saale), Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany
| | - Paul Kardol
- Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, 750-07, Uppsala, Sweden
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, 901-83, Umeå, Sweden
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany
- Institute of Biology, Leipzig University, Puschstr. 4, 04103, Leipzig, Germany
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China.
| |
Collapse
|