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Wu DS, Na SH, Li YJ, Zhou XB, Wu W, Song YT, Zheng P, Li Z, Luo JL. Single-crystal growth, structure and thermal transport properties of the metallic antiferromagnet Zintl-phase β-EuIn 2As 2. Phys Chem Chem Phys 2024; 26:8695-8703. [PMID: 37947451 DOI: 10.1039/d3cp04524b] [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: 11/12/2023]
Abstract
Zintl-phase materials have attracted significant research interest owing to the interplay of magnetism and strong spin-orbit coupling, providing a prominent material platform for axion electrodynamics. Here, we report the single-crystal growth, structure, magnetic and electrical/thermal transport properties of the antiferromagnet layer Zintl-phase compound β-EuIn2As2. Importantly, the new layered structure of β-EuIn2As2, in rhombohedral (R3̄m) symmetry, contains triangular layers of Eu2+ ions. The in-plane resistivity ρ(H, T) measurements reveal metal behavior with an antiferromagnetic (AFM) transition (TN ∼ 23.5 K), which is consistent with the heat capacity Cp(H, T) and magnetic susceptibility χ(H, T) measurements. Negative MR was observed in the temperature range from 2 K to 20 K with a maximum MR ratio of 0.06. Unique 4f7J = S = 7/2 Eu2+ spins were supposed magnetically order along the c-axis. The Seebeck coefficient shows a maximum thermopower |Smax| of about 40 μV K-1. The kink around 23 K in the Seebeck coefficient originates from the effect of the antiferromagnetic phase on the electron band structure, while the pronounced thermal conductivity peak at around 10 K is attributed to the phonon-phonon Umklapp scattering. The results suggest that the Eu2+ spin arrangement plays an important role in the magnetic, electrical, and thermal transport properties in β-EuIn2As2, which might be helpful for future potential technical applications.
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Affiliation(s)
- D S Wu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
| | - S H Na
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Y J Li
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
| | - X B Zhou
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
| | - W Wu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Y T Song
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
| | - P Zheng
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Z Li
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
- Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China
| | - J L Luo
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
- Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China
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Ouyang L, Jing K, Zhu C, Wang R, Zheng P. The presence of autoantibodies as a potential prognostic biomarker for breast cancer. Scand J Immunol 2024:e13365. [PMID: 38436518 DOI: 10.1111/sji.13365] [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: 11/01/2023] [Revised: 01/28/2024] [Accepted: 02/18/2024] [Indexed: 03/05/2024]
Abstract
The presence of autoantibodies is closely associated with the occurrence and development of cancer. Autoantibodies can be used as biomarkers for early breast cancer diagnosis. However, the relationship between autoantibodies and the prognosis of breast cancer patients remains elusive. This retrospective study aimed to investigate the correlation between the presence of autoantibodies and outcomes in breast cancer patients. This study included a total of 155 patients from People's Hospital of Henan University (Zhengzhou, China) who were diagnosed with breast cancer from January 2017 to December 2021. The enrolled patients' clinicopathological features were collected, and 88 patients were ultimately involved in the analysis. Univariate and multivariate Cox regression analyses were performed to search for the risk factors related to the poor prognosis of breast cancer patients. The association between the presence of autoantibodies and patients' survival was analysed using Kaplan-Meier curves. After screening, there were 38 autoantibody-positive cases and 50 autoantibody-negative cases. Breast cancer patients with autoantibody-positive had a 57% lower risk of death compared with autoantibody-negative patients. Multivariate Cox regression analysis indicated that the presence of autoantibody could be a potential prognostic predictor for breast cancer, independent of age, histological grade, pathological classification, clinical stage, and the expression levels of hormonal receptors. In addition, autoantibody-positive breast cancer patients had longer progression-free survival and overall survival compared with autoantibody-negative cases. Positive autoantibody was found as an independent biomarker of better prognosis in breast cancer patients, providing a new strategy for the prognostic assessment of breast cancer patients.
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Affiliation(s)
- Libo Ouyang
- Department of Clinical Laboratory, People's Hospital of Henan University, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China
| | - Keying Jing
- Department of Clinical Laboratory, People's Hospital of Henan University, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China
| | - Chunkai Zhu
- Department of Clinical Laboratory, People's Hospital of Henan University, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China
| | - Rong Wang
- Department of Clinical Laboratory, People's Hospital of Henan University, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China
| | - Peiming Zheng
- Department of Clinical Laboratory, People's Hospital of Henan University, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China
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Zhang Q, Zhang J, Sun X, Wang F, Wang R, Wang H, Zheng P. Mating strategies of Vitex negundo L. var. heterophylla (Franch.) Rehder (Lamiaceae): A mixed mating system with inbreeding depression. Ecol Evol 2024; 14:e10927. [PMID: 38414571 PMCID: PMC10897527 DOI: 10.1002/ece3.10927] [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: 02/09/2023] [Revised: 11/29/2023] [Accepted: 12/07/2023] [Indexed: 02/29/2024] Open
Abstract
Plant reproductive ecology is one of the research hotspots in ecology. With the increasing attention paid to the conservation of plant diversity, the research on reproductive characteristics and flowering biological characteristics of more species has attracted more attention. However, plant reproduction is affected by multiple interacting factors such as pollen limitation and resource availability. Vitex negundo var. heterophylla (Franch.) Rehder (Lamiaceae) is a significant species for water and soil conservation. Previous studies have revealed its mating system by the biological characteristics of flowering and SSR markers, but its reproductive strategies remain to be further studied. We evaluated reproductive success through artificial pollination to explore the reproductive characteristics of V. negundo var. heterophylla for the first time. From the results of fruit set, there is a mixed mating system dominated by outcrossing in V. negundo var. heterophylla accompanied by self-compatibility, and it cannot carry out autonomous selfing. Our data show the pollinator-mediated interaction in the success of reproduction, whereas the effect of anemophily is very weak. And the seed germination rate of inbred line progenies was lower than that of hybrid progenies, which is suspected to be caused by inbreeding depression. The research will provide scientific information for the protection and conservation of V. negundo var. heterophylla from the point of view of reproduction. In sum, the results are necessary to protect animal vectors in the background of insect decline.
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Affiliation(s)
- Qing Zhang
- Institute of Ecology and Biodiversity, School of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Jilin Zhang
- Institute of Ecology and Biodiversity, School of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Xiaohan Sun
- Institute of Ecology and Biodiversity, School of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Feng Wang
- Institute of Ecology and Biodiversity, School of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
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Sun S, Zhang Y, Wang N, Yang W, Zhai Y, Wang H, Fan P, You C, Zheng P, Wang R. Changing effects of energy and water on the richness distribution pattern of the Quercus genus in China. Front Plant Sci 2024; 15:1301395. [PMID: 38298826 PMCID: PMC10827969 DOI: 10.3389/fpls.2024.1301395] [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] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 01/02/2024] [Indexed: 02/02/2024]
Abstract
Climate varies along geographic gradients, causing spatial variations in the effects of energy and water on species richness and the explanatory power of different climatic factors. Species of the Quercus genus are important tree species in China with high ecological and socioeconomic value. To detect whether the effects of energy and water on species richness change along climatic gradients, this study built geographically weighted regression models based on species richness and climatic data. Variation partition analysis and hierarchical partitioning analysis were used to further explore the main climatic factors shaping the richness distribution pattern of Quercus in China. The results showed that Quercus species were mainly distributed in mountainous areas of southwestern China. Both energy and water were associated with species richness, with global slopes of 0.17 and 0.14, respectively. The effects of energy and water on species richness gradually increased as energy and water in the environment decreased. The interaction between energy and water altered the effect of energy, and in arid regions, the effects of energy and water were relatively stronger. Moreover, energy explained more variation in species richness in both the entire study area (11.5%) and different climate regions (up to 19.4%). The min temperature of coldest month was the main climatic variable forming the richness distribution pattern of Quercus in China. In conclusion, cold and drought are the critical climatic factors limiting the species richness of Quercus, and climate warming will have a greater impact in arid regions. These findings are important for understanding the biogeographic characteristics of Quercus and conserving biodiversity in China.
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Affiliation(s)
- Shuxia Sun
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao, China
| | - Yang Zhang
- Department of Statistics and Actuarial Science, Northern Illinois University, Dekalb, IL, United States
| | - Naixian Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao, China
| | - Wenjun Yang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao, China
| | - Yinuo Zhai
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao, China
| | - Peixian Fan
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao, China
| | - Chao You
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao, China
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao, China
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Jing K, Zhao H, Cai J, Chen L, Zheng P, Ouyang L, Li G, Wang R. Corrigendum: The presence of autoantibodies is associated with improved overall survival in lung cancer patients. Front Oncol 2023; 13:1353702. [PMID: 38192623 PMCID: PMC10773751 DOI: 10.3389/fonc.2023.1353702] [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: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 01/10/2024] Open
Abstract
[This corrects the article DOI: 10.3389/fonc.2023.1234847.].
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Affiliation(s)
- Keying Jing
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Huijuan Zhao
- Basic Medical College, Henan University of Science and Technology, Luoyang, Henan, China
| | - Jun Cai
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Lianlian Chen
- Henan Hospital of Integrated Chinese and Western Medicine, Zhengzhou, Henan, China
| | - Peiming Zheng
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Libo Ouyang
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Gang Li
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Rong Wang
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
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Yang W, Sun S, Wang N, Fan P, You C, Wang R, Zheng P, Wang H. Dynamics of the distribution of invasive alien plants (Asteraceae) in China under climate change. Sci Total Environ 2023; 903:166260. [PMID: 37579809 DOI: 10.1016/j.scitotenv.2023.166260] [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: 06/05/2023] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 08/16/2023]
Abstract
Climate change and biological invasions pose significant threats to the conservation of biodiversity and the provision of ecosystem services. With the rapid development of international trade and economy, China has become one of the countries most seriously affected by invasive alien plants (IAPs), especially the Asteraceae IAPs. For this end, we selected occurrence data of 31 Asteraceae IAPs and 33 predictor variables to explore the distribution pattern under current climate using MaxEnt model. Based on future climate data, the changes in distribution dynamics of Asteraceae IAPs were predicted under two time periods (2041-2060 and 2081-2100) and three climate change scenarios (SSP126, SSP245 and SSP585). The results indicated that the potential distribution of IAPs was mainly in the southeast of China under current climate. Climatic variables, including precipitation of coldest quarter (BIO19), temperature annual range (BIO07) and annual precipitation (BIO12) were the main factors affecting the potential distribution. Besides, human footprint (HFP), population (POP) and soil moisture (SM) also had a great contribution for shaping the distribution pattern. With climate change, the potential distribution of IAPs would shift to the northwest and expand. It would also accelerate the expansion of most Asteraceae IAPs in China. The results of our study can help to understand the dynamics change of distributions of Asteraceae IAPs under climate change in advance so that early strategies can be developed to reduce the risk and influence of biological invasions.
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Affiliation(s)
- Wenjun Yang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China; Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao 266237, PR China
| | - Shuxia Sun
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China; Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao 266237, PR China
| | - Naixian Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China; Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao 266237, PR China
| | - Peixian Fan
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China; Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao 266237, PR China
| | - Chao You
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China; Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao 266237, PR China
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China; Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao 266237, PR China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China; Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao 266237, PR China.
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China; Qingdao Key Laboratory of Forest and Wetland Ecology, Shandong University, Qingdao 266237, PR China
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Jing K, Zhao H, Cai J, Chen L, Zheng P, Ouyang L, Li G, Wang R. The presence of autoantibodies is associated with improved overall survival in lung cancer patients. Front Oncol 2023; 13:1234847. [PMID: 37799460 PMCID: PMC10547871 DOI: 10.3389/fonc.2023.1234847] [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: 06/06/2023] [Accepted: 08/21/2023] [Indexed: 10/07/2023] Open
Abstract
Objective Autoantibodies have been reported to be associated with cancers. As a biomarker, autoantibodies have been widely used in the early screening of lung cancer. However, the correlation between autoantibodies and the prognosis of lung cancer patients is poorly understood, especially in the Asian population. This retrospective study investigated the association between the presence of autoantibodies and outcomes in patients with lung cancer. Methods A total of 264 patients diagnosed with lung cancer were tested for autoantibodies in Henan Provincial People's Hospital from January 2017 to June 2022. The general clinical data of these patients were collected, and after screening out those who met the exclusion criteria, 151 patients were finally included in the study. The Cox proportional hazards model was used to analyze the effect of autoantibodies on the outcomes of patients with lung cancer. The Kaplan-Meier curve was used to analyze the relationship between autoantibodies and the overall survival of patients with lung cancer. Results Compared to lung cancer patients without autoantibodies, those with autoantibodies had an associated reduced risk of death (HRs: 0.45, 95% CIs 0.27~0.77), independent of gender, age, smoking history, pathological type, and pathological stage of lung cancer. Additionally, the association was found to be more significant by subgroup analysis in male patients, younger patients, and patients with small cell lung cancer. Furthermore, lung cancer patients with autoantibodies had significantly longer survival time than those without autoantibodies. Conclusion The presence of autoantibodies is an independent indicator of good prognosis in patients with lung cancer, providing a new biomarker for prognostic evaluation in patients with lung cancer.
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Affiliation(s)
- Keying Jing
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Huijuan Zhao
- Basic Medical College, Henan University of Science and Technology, Luoyang, Henan, China
| | - Jun Cai
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Lianlian Chen
- Henan Hospital of Integrated Chinese and Western Medicine, Zhengzhou, Henan, China
| | - Peiming Zheng
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Libo Ouyang
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Gang Li
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
| | - Rong Wang
- Henan University People's Hospital, Department of Clinical Laboratory, Henan Provincial People’s Hospital, Henan University, Zhengzhou, Henan, China
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Chen G, Gao L, Zheng P, Liu Y, Li P, Liu H. Prevalence and Genetype Distribution of Human Papillomavirus in Women with Condyloma Acuminatum in Henan Province, Central China. Infect Drug Resist 2023; 16:4919-4928. [PMID: 37534063 PMCID: PMC10393019 DOI: 10.2147/idr.s418783] [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: 05/25/2023] [Accepted: 07/20/2023] [Indexed: 08/04/2023] Open
Abstract
Purpose This study aims to analyze the distribution of human papillomavirus (HPV) genotypes and the associations of demographic characteristics with HPV infection among women with condyloma acuminatum (CA) in Henan Province of China. Methods From January 2019 to October 2022, 702 women with CA were sampled for HPV subtypes and surveyed by questionnaire at Henan Provincial People's Hospital. The HPV genotype was tested by flow-through hybridization after polymerase chain reaction (PCR). Results The location of warts was mainly vulva. The age of the subjects was mainly distributed in the 20-29-year-old, followed by 30-39-year-old. The most common subtypes were HPV 6 (43.59%), 11 (24.93%), 16 (11.82%), 52 (7.83%), 58 (7.55%), 51 (7.26%), 61 (5.70%), 39 (5.56%), 18 (5.13%), and 54 (4.70%), our results also suggested that HPV 6 and 11 were the dominant genotypes in each age group. The infection of low-risk HPV (LR-HPV) (74.50%) and single HPV (47.01%) were the main categories. In terms of educational level, women with senior high school or above were inclined to infect single and pure-LR HPV. Unmarried status, sometimes or never condom use increased the chances of multiple, pure high-risk (HR) and mixed HPV infections. Women with multiple sex partners were more likely to cause multiple and mixed HPV infections. Conclusion Our experimental data on the prevalence and subtype distribution of HPV in women with CA could provide valuable reference for preventing CA in Henan Province. The application of the nine-valent vaccine provides a broad prospect for female CA prevention.
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Affiliation(s)
- Guanghui Chen
- Department of Clinical Laboratory, Henan Provincial People′s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, People’s Republic of China
| | - Lan Gao
- Department of Clinical Laboratory, Henan Provincial People′s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, People’s Republic of China
| | - Peiming Zheng
- Department of Clinical Laboratory, Henan Provincial People′s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, People’s Republic of China
| | - Yanhong Liu
- Department of Clinical Laboratory, Henan Provincial People′s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, People’s Republic of China
| | - Pan Li
- Department of Clinical Laboratory, Henan Provincial People′s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, People’s Republic of China
| | - Huifang Liu
- Department of Clinical Laboratory, Henan Provincial People′s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, People’s Republic of China
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Zhang Y, Zhang Q, Yang W, Zhang Y, Wang N, Fan P, You C, Yu L, Gao Q, Wang H, Zheng P, Wang R. Response mechanisms of 3 typical plants nitrogen and phosphorus nutrient cycling to nitrogen deposition in temperate meadow grasslands. Front Plant Sci 2023; 14:1140080. [PMID: 37484465 PMCID: PMC10361690 DOI: 10.3389/fpls.2023.1140080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 05/09/2023] [Indexed: 07/25/2023]
Abstract
The increase of nitrogen (N) deposition and the diversity of its components lead to significant changes in the structure and function of temperate meadow steppe, which could affect plant nutrient uptake, nutrient resorption and litter decomposition, thus affecting the biogeochemical cycle process. The distribution and metabolism of nitrogen and phosphorus in plants determine the growth process and productivity of plants. Plant nutrient uptake, nutrient resorption and litter decomposition play an important role in the nutrient cycling process of ecosystem. This study closely combined these three processes to carry out experiments with different nitrogen dosages and types, and systematically explored the response of nitrogen and phosphorus nutrient cycling to nitrogen deposition. The results showed that nitrogen deposition can greatly affect ecosystem nutrient cycle of nitrogen and phosphorus. Firstly, Nitrogen deposition has significant effect on plant nutrient uptake. Nitrogen uptake of stems and leaves increased with the increase of nitrogen addition dosage, while phosphorus uptake of stems and leaves showed a downward trend or no significant effect. Besides, nitrogen addition type had a significant effect on nitrogen and phosphorus content of stems. Secondly, Nitrogen addition dosage had a significant effect on plant nutrient resorption, while nitrogen addition type had no significant effect on it. Thirdly, nitrogen deposition has significant effect on litter decomposition. With the increase of nitrogen addition dosage, the initial nitrogen content of litters increased and the decomposition rate of litters accelerated. Nitrogen application type had significant effect on stem litter decomposition. These results indicated that nitrogen deposition significantly affects plant nutrient cycling, and thus affects the structure and function of grassland ecosystem.
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Affiliation(s)
- Yang Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Qing Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Wenjun Yang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Yan Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Ning Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peixian Fan
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Chao You
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Linqian Yu
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Qun Gao
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
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Shen MX, Ji XN, Wu F, Gao YY, Feng S, Xie LN, Zheng P, Mao YY, Chen Q. [A case of combined oxidative phosphorylation deficiency 32 caused by MRPS34 gene variation and literature review]. Zhonghua Er Ke Za Zhi 2023; 61:642-647. [PMID: 37385809 DOI: 10.3760/cma.j.cn112140-20230307-00165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
Objective: To investigate the clinical features and genetic features of combined oxidative phosphorylation deficiency 32 (COXPD32) caused by MRPS34 gene variation. Methods: The clinical data and genetic test of a child with COXPD32 hospitalized in the Department of Neurology, Children's Hospital, Capital Institute of Pediatrics in March 2021 were extracted and analyzed. A literature search was implemented using Wanfang, China biology medicine disc, China national knowledge infrastructure, ClinVar, human gene mutation database (HGMD) and Pubmed databases with the key words "MRPS34" "MRPS34 gene" and "combined oxidative phosphorylation deficiency 32" (up to February 2023). Clinical and genetic features of COXPD32 were summarized. Results: A boy aged 1 year and 9 months was admitted due to developmental delay. He showed mental and motor retardation, and was below the 3rd percentile for height, weight, and head circumference of children of the same age and gender. He had poor eye contact, esotropia, flat nasal bridge, limbs hypotonia, holding instability and tremors. In addition, Grade Ⅲ/6 systolic murmur were heard at left sternal border. Arterial blood gases suggested that severe metabolic acidosis with lactic acidosis. Brain magnetic resonance imaging (MRI) showed multiple symmetrical abnormal signals in the bilateral thalamus, midbrain, pons and medulla oblongata. Echocardiography showed atrial septal defect. Genetic testing identified the patient as a compound heterozygous variation of MRPS34 gene, c.580C>T (p.Gln194Ter) and c.94C>T (p.Gln32Ter), with c.580C>T being the first report and a diagnosis of COXPD32. His parents carried a heterozygous variant, respectively. The child improved after treatment with energy support, acidosis correction, and "cocktail" therapy (vitaminB1, vitaminB2, vitaminB6, vitaminC and coenzyme Q10). A total of 8 cases with COXPD32 were collected through 2 English literature reviews and this study. Among the 8 patients, 7 cases had onset during infancy and 1 was unknown, all had developmental delay or regression, 7 cases had feeding difficulty or dysphagia, followed by dystonia, lactic acidosis, ocular symptoms, microcephaly, constipation and dysmorphic facies(mild coarsening of facial features, small forehead, anterior hairline extending onto forehead,high and narrow palate, thick gums, short columella, and synophrys), 2 cases died of respiratory and circulatory failure, and 6 were still alive at the time of reporting, with an age range of 2 to 34 years. Blood and (or) cerebrospinal fluid lactate were elevated in all 8 patients. MRI in 7 cases manifested symmetrical abnormal signals in the brainstem, thalamus, and (or) basal ganglia. Urine organic acid test were all normal but 1 patient had alanine elevation. Five patients underwent respiratory chain enzyme activity testing, and all had varying degrees of enzyme activity reduction. Six variants were identified, 6 patients were homozygous variants, with c.322-10G>A was present in 4 patients from 2 families and 2 compound heterozygous variants. Conclusions: The clinical phenotype of COXPD32 is highly heterogenous and the severity of the disease varies from development delay, feeding difficulty, dystonia, high lactic acid, ocular symptoms and reduced mitochondrial respiratory chain enzyme activity in mild cases, which may survive into adulthood, to rapid death due to respiratory and circulatory failure in severe cases. COXPD32 needs to be considered in cases of unexplained acidosis, hyperlactatemia, feeding difficulties, development delay or regression, ocular symptoms, respiratory and circulatory failure, and symmetrical abnormal signals in the brainstem, thalamus, and (or) basal ganglia, and genetic testing can clarify the diagnosis.
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Affiliation(s)
- M X Shen
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - X N Ji
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - F Wu
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Y Gao
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - S Feng
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - L N Xie
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - P Zheng
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Y Mao
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - Q Chen
- Department of Neurology, Children' s Hospital, Capital Institute of Pediatrics, Beijing 100020, China
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Yin T, Zhai Y, Zhang Y, Yang W, Dong J, Liu X, Fan P, You C, Yu L, Gao Q, Wang H, Zheng P, Wang R. Impacts of climate change and human activities on vegetation coverage variation in mountainous and hilly areas in Central South of Shandong Province based on tree-ring. Front Plant Sci 2023; 14:1158221. [PMID: 37342129 PMCID: PMC10277696 DOI: 10.3389/fpls.2023.1158221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/09/2023] [Indexed: 06/22/2023]
Abstract
Introduction It is of great significance to understand the characteristics and influencing factors of vegetation coverage variation in the warm temperate zone. As a typical region of the warm temperate zone in eastern China, the mountainous and hilly region in central-south Shandong Province has fragile ecological environment and soil erosion problem. Studying on vegetation dynamics and its influencing factors in this region will help to better understand the relationship between climate change and vegetation cover change in the warm temperate zone of eastern China, and the influence of human activities on vegetation cover dynamics. Methods Based on dendrochronology, a standard tree-ring width chronology was established in the mountainous and hilly region of central-south Shandong Province, and the vegetation coverage from 1905 to 2020 was reconstructed to reveal the dynamic change characteristics of vegetation cover in this region. Secondly, the influence of climate factors and human activities on the dynamic change of vegetation cover was discussed through correlation analysis and residual analysis. Results and discussion In the reconstructed sequence, 23 years had high vegetation coverage and 15 years had low vegetation coverage. After low-pass filtering, the vegetation coverage of 1911-1913, 1945-1951, 1958-1962, 1994-1996, and 2007-2011 was relatively high, while the vegetation coverage of 1925-1927, 1936-1942, 2001-2003, and 2019-2020 was relatively low. Although precipitation determined the variation of vegetation coverage in this study area, the impacts of human activities on the change of vegetation coverage in the past decades cannot be ignored. With the development of social economy and the acceleration of urbanization, the vegetation coverage declined. Since the beginning of the 21st century, ecological projects such as Grain-for-Green have increased the vegetation coverage.
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Affiliation(s)
- Tingting Yin
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Yinuo Zhai
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Yan Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Wenjun Yang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Jinbin Dong
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Huankeyuan Environmental Testing Co., Ltd., Jinan, China
| | - Xiao Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peixian Fan
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Chao You
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Linqian Yu
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Qun Gao
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
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Wang N, Song M, Zhang Y, Liu X, Wu P, Qi L, Song H, Du N, Wang H, Zheng P, Wang R. Physiological responses of Quercus acutissima and Quercus rubra seedlings to drought and defoliation treatments. Tree Physiol 2023; 43:737-750. [PMID: 36708029 DOI: 10.1093/treephys/tpad005] [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: 05/08/2022] [Revised: 12/27/2022] [Accepted: 01/20/2023] [Indexed: 05/13/2023]
Abstract
Ongoing global climate change is increasing the risk of drought stress in some areas, which may compromise forest health. Such drought events also increase outbreaks of insect herbivores, resulting in plant defoliation. Interactions between drought and defoliation are poorly understood. In a greenhouse experiment, we selected a native species, Quercus acutissima Carr. and an alien species, Quercus rubra L. to explore their physiological responses to drought and defoliation treatments. After the treatments, we determined the seedlings' physiological responses on Days 10 and 60. Our results showed that the defoliation treatment accelerated the carbon reserve consumption of plants under drought stress and inhibited the growth of both seedling types. Under the drought condition, Q. rubra maintained normal stem-specific hydraulic conductivity and normal growth parameters during the early stage of stress, whereas Q. acutissima used less water and grew more slowly during the experiment. Sixty days after defoliation treatment, the stem starch concentration of Q. acutissima was higher than that of the control group, but the stem biomass was lower. This indicates that Q. acutissima adopted a 'slow strategy' after stress, and more resources were used for storage rather than growth, which was conducive to the ability of these seedlings to resist recurrent biotic attack. Thus, Q. acutissima may be more tolerant to drought and defoliation than Q. rubra. The resource acquisition strategies of Quercus in this study suggest that the native Quercus species may be more successful at a long-term resource-poor site than the alien Quercus species.
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Affiliation(s)
- Ning Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Meixia Song
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Yang Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Xiao Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Pan Wu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Luyu Qi
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Huijia Song
- Beijing Museum of Natural History, 126 Tianqiao South Street, Beijing 100050, China
| | - Ning Du
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
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13
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Zhang Q, Zhang Q, Zhai Y, Yang W, Zhang Y, Liu H, Zhang K, Liu X, Cui K, Wang H, Zheng P, Wang R. Drivers of aboveground biomass shift with forest stratum in temperate forest of North China. Sci Total Environ 2023; 860:160548. [PMID: 36455727 DOI: 10.1016/j.scitotenv.2022.160548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/31/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
A better understanding of the underlying ecological mechanisms of diversity-biomass relationships in forest layers (i.e., overstory and understory) is critical to understand the importance of vertical stratification to the functioning of forest ecosystems. However, it is not clear how multiple abiotic (i.e., climate and geography) and biological (i.e., biodiversity, functional characteristics, and stand structural complexity) factors simultaneously determine the aboveground biomass (AGB) of each individual forest stratum. We used data on 156,270 trees from 1986 plots in North China to explore the relationships among biological diversity, plant functional traits, stand structure, climate and topography on variation in AGB of each stratum. The results showed that different biological factors determined the AGB of overstory and understory, and thus indicating different underlying ecological mechanisms in temperate forests. The effects of forest biodiversity on AGB were only significant in understory stratum. In the overstory of the forest, forests with high tree-size dimension inequality and high dominant tree height had larger AGB, hence mass ratio effect and stand structure complexity were the main ecological mechanisms for high biomass. In understory, diversity and overstory attributes were the main factors affecting biomass. Tree height and AGB of the overstory reduced the AGB of the understory layer. In consequence overstory attributes and niche complementation were the main ecological mechanisms in the understory. The overstory exerted influence on the understory through resource quantity and resource heterogeneity. Our findings have important implications for carbon management, enhancement of forest functions and sustainable forest management in temperate forests.
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Affiliation(s)
- Qinyuan Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Qing Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Yinuo Zhai
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Wenjun Yang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Yan Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Hongxiang Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Kun Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Xiao Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Kening Cui
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China.
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao 266237, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, 72 Binhai Road, Qingdao 266237, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, 72 Binhai Road, Qingdao 266237, China
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14
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Zheng P, Wei W, Liang Z, Qin B, Tian J, Wang J, Qiao R, Ren Y, Chen J, Huang C, Zhou X, Zhang G, Tang Z, Yu D, Ding F, Liu K, Xu X. Universal epitaxy of non-centrosymmetric two-dimensional single-crystal metal dichalcogenides. Nat Commun 2023; 14:592. [PMID: 36737606 PMCID: PMC9898269 DOI: 10.1038/s41467-023-36286-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [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: 08/29/2022] [Accepted: 01/23/2023] [Indexed: 02/05/2023] Open
Abstract
The great challenge for the growth of non-centrosymmetric 2D single crystals is to break the equivalence of antiparallel grains. Even though this pursuit has been partially achieved in boron nitride and transition metal dichalcogenides (TMDs) growth, the key factors that determine the epitaxy of non-centrosymmetric 2D single crystals are still unclear. Here we report a universal methodology for the epitaxy of non-centrosymmetric 2D metal dichalcogenides enabled by accurate time sequence control of the simultaneous formation of grain nuclei and substrate steps. With this methodology, we have demonstrated the epitaxy of unidirectionally aligned MoS2 grains on a, c, m, n, r and v plane Al2O3 as well as MgO and TiO2 substrates. This approach is also applicable to many TMDs, such as WS2, NbS2, MoSe2, WSe2 and NbSe2. This study reveals a robust mechanism for the growth of various 2D single crystals and thus paves the way for their potential applications.
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Affiliation(s)
- Peiming Zheng
- grid.263785.d0000 0004 0368 7397Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China ,grid.263785.d0000 0004 0368 7397Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China
| | - Wenya Wei
- grid.263785.d0000 0004 0368 7397Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China ,grid.263785.d0000 0004 0368 7397Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China
| | - Zhihua Liang
- grid.263785.d0000 0004 0368 7397Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China ,grid.263785.d0000 0004 0368 7397Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China
| | - Biao Qin
- grid.11135.370000 0001 2256 9319State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, 100871 China
| | - Jinpeng Tian
- grid.9227.e0000000119573309Key Laboratory for Nanoscale Physics and Devices, Institute of Physics, Chinese Academy of Sciences, Beijing, 100190 China
| | - Jinhuan Wang
- grid.11135.370000 0001 2256 9319State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, 100871 China
| | - Ruixi Qiao
- grid.11135.370000 0001 2256 9319International Centre for Quantum Materials, Collaborative Innovation Centre of Quantum Matter, Peking University, Beijing, 100871 China
| | - Yunlong Ren
- grid.263785.d0000 0004 0368 7397Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China ,grid.263785.d0000 0004 0368 7397Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China
| | - Junting Chen
- grid.263785.d0000 0004 0368 7397Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China ,grid.263785.d0000 0004 0368 7397Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China
| | - Chen Huang
- grid.11135.370000 0001 2256 9319State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, 100871 China
| | - Xu Zhou
- grid.263785.d0000 0004 0368 7397Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China ,grid.263785.d0000 0004 0368 7397Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China
| | - Guangyu Zhang
- grid.9227.e0000000119573309Key Laboratory for Nanoscale Physics and Devices, Institute of Physics, Chinese Academy of Sciences, Beijing, 100190 China ,grid.511002.7Songshan Lake Materials Laboratory, Institute of Physics, Chinese Academy of Sciences, Dongguan, 523808 China
| | - Zhilie Tang
- grid.263785.d0000 0004 0368 7397Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China ,grid.263785.d0000 0004 0368 7397Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China
| | - Dapeng Yu
- grid.263817.90000 0004 1773 1790Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055 China
| | - Feng Ding
- grid.9227.e0000000119573309Faculty of Materials Science and Engineering/Institute of Technology for Carbon Neutrality, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Kaihui Liu
- grid.11135.370000 0001 2256 9319State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, 100871 China ,grid.11135.370000 0001 2256 9319International Centre for Quantum Materials, Collaborative Innovation Centre of Quantum Matter, Peking University, Beijing, 100871 China ,grid.511002.7Songshan Lake Materials Laboratory, Institute of Physics, Chinese Academy of Sciences, Dongguan, 523808 China
| | - Xiaozhi Xu
- grid.263785.d0000 0004 0368 7397Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China ,grid.263785.d0000 0004 0368 7397Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, 510631 China
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15
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Zhang H, Li Z, Zheng S, Zheng P, Liang X, Li Y, Bu X, Zou X. Range-aided drift-free cooperative localization and consistent reconstruction of multi-ground robots. IEEE Robot Autom Lett 2023. [DOI: 10.1109/lra.2023.3244721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Affiliation(s)
- H. Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - Z. Li
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - S. Zheng
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - P. Zheng
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - X. Liang
- State Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - Y. Li
- State Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - X. Bu
- State Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - X. Zou
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
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16
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Jiang XW, Li ZK, Liang WL, Li JH, Chen CT, Zheng P, Fang P. [Research progression of gene fusion detection technology based on next generation sequencing in tumor companion diagnostics]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1880-1888. [PMID: 36536582 DOI: 10.3760/cma.j.cn112150-20220615-00612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Gene fusion is one of the mechanisms that promote tumor development. It is also an important cause for the poor prognosis of patients. The detection of gene fusion is crucial for the recognition of tumor biomarker, cancer subtype classification, and clinical medication guidance. Appropriate methods can help the early diagnosis and avoid ineffective medication. Traditional tests include fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), reverse transcription of PCR (RT-PCR), and next generation sequencing (NGS). The next generation sequencing (NGS) mainly includes: whole genome sequencing (WGS), whole transcriptome sequencing (WTS) and target sequencing (hybridization capture method/amplicon method). In clinical concomitant diagnostic applications, some factors such as operability, time/money costs, and the level of expertise required for data analysis should be considered. This article concludes with a discussion of the technical principles of different detection methods and advantages/limitations. Meanwhile, it provides reference opinions for the detection methods of gene fusion.
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Affiliation(s)
- X W Jiang
- National and Regional Joint Engineering Laboratory for Clinical Medical Molecular Diagnostics, Research Center of Medical and Pharmaceutical Bioengineering, Ministry of Health, Guangzhou 510665, China
| | - Z K Li
- Department of Laboratory Medicine, the 928th Hospital of PLA Joint Logistic Support Force,Haikou 571159, China
| | - W L Liang
- National and Regional Joint Engineering Laboratory for Clinical Medical Molecular Diagnostics, Research Center of Medical and Pharmaceutical Bioengineering, Ministry of Health, Guangzhou 510665, China
| | - J H Li
- National and Regional Joint Engineering Laboratory for Clinical Medical Molecular Diagnostics, Research Center of Medical and Pharmaceutical Bioengineering, Ministry of Health, Guangzhou 510665, China
| | - C T Chen
- National and Regional Joint Engineering Laboratory for Clinical Medical Molecular Diagnostics, Research Center of Medical and Pharmaceutical Bioengineering, Ministry of Health, Guangzhou 510665, China
| | - P Zheng
- National and Regional Joint Engineering Laboratory for Clinical Medical Molecular Diagnostics, Research Center of Medical and Pharmaceutical Bioengineering, Ministry of Health, Guangzhou 510665, China
| | - Peng Fang
- National and Regional Joint Engineering Laboratory for Clinical Medical Molecular Diagnostics, Research Center of Medical and Pharmaceutical Bioengineering, Ministry of Health, Guangzhou 510665, China
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Wang N, Zhang Q, Sun S, Wang H, He M, Zheng P, Wang R. A sandstorm extreme event from the Yellow River Basin in March 2021: Accurate identification and driving cause. Sci Total Environ 2022; 846:157424. [PMID: 35878851 DOI: 10.1016/j.scitotenv.2022.157424] [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: 04/01/2022] [Revised: 06/28/2022] [Accepted: 07/12/2022] [Indexed: 06/15/2023]
Abstract
Sandstorm is a natural meteorological disaster that can appear suddenly and is often extremely destructive. In areas with small number of meteorological observation stations, it is difficult to effectively monitor sandstorm. Moderate Resolution Imaging Spectroradiometer (MODIS) data have the characteristics of high resolution and wide coverage, making it possible to monitor dynamic weather changes in a large area over time, and such data are widely used in sandstorm monitoring. The purpose of our research was to achieve a more accurate identification of sandstorm according to the differences in reflectance and brightness temperature between sandstorm and other phenomena, and to better understand the formation, movement track and driving cause of sandstorm extreme event. Taking the intense sandstorm event that occurred in the Yellow River Basin from March 13th to 18th, 2021 as an example, sandstorm process was analyzed based on MODIS data and meteorological monitoring data. The threshold of Normalized Difference Dust Index (NDDI) and Normalized Brightness Temperature Dust Index (NBTDI) realized accurate sandstorm monitoring and quantification of the sandstorm coverage areas. Sandstorm covered 32.89 % and 37.23 % of the total areas of the Yellow River Basin on March 15th and 16th, 2021, respectively. In addition, observation data from 22 meteorological stations also provided an important reference for further understanding of sandstorm weather. The intense sandstorm event in China on March 15th, 2021 originated from the dust in Mongolia. This sandstorm event caused great damage to the ecological environment and caused serious losses to people's lives and properties. This study improved the monitoring of sandstorm by remote sensing technology, and the results had importance for the long-term monitoring and prevention of sandstorm.
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Affiliation(s)
- Naixian Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China
| | - Qinyuan Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China
| | - Shuxia Sun
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China
| | - Maoxia He
- Environment Research Institute, Shandong University, Qingdao 266237, PR China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China.
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, PR China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, PR China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao 266237, PR China
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18
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Li J, Zhang C, Guo H, Li S, You Y, Zheng P, Zhang H, Wang H, Bai J. Non-invasive measurement of tumor immune microenvironment and prediction of survival and chemotherapeutic benefits from 18F fluorodeoxyglucose PET/CT images in gastric cancer. Front Immunol 2022; 13:1019386. [PMID: 36311742 PMCID: PMC9606753 DOI: 10.3389/fimmu.2022.1019386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 09/23/2022] [Indexed: 02/11/2024] Open
Abstract
BACKGROUND The tumor immune microenvironment could provide prognostic and predictive information. It is necessary to develop a noninvasive radiomics-based biomarker of a previously validated tumor immune microenvironment signature of gastric cancer (GC) with immunohistochemistry staining. METHODS A total of 230 patients (training (n = 153) or validation (n = 77) cohort) with gastric cancer were subjected to (Positron Emission Tomography-Computed Tomography) radiomics feature extraction (80 features). A radiomics tumor immune microenvironment score (RTIMS) was developed to predict the tumor immune microenvironment signature with LASSO logistic regression. Furthermore, we evaluated its relation with prognosis and chemotherapy benefits. RESULTS A 8-feature radiomics signature was established and validated (area under the curve=0.692 and 0.713). The RTIMS signature was significantly associated with disease-free survival and overall survival both in the training and validation cohort (all P<0.001). RTIMS was an independent prognostic factor in the Multivariate analysis. Further analysis revealed that high RTIMS patients benefitted from adjuvant chemotherapy (for DFS, stage II: HR 0.208(95% CI 0.061-0.711), p=0.012; stage III: HR 0.321(0.180-0.570), p<0.001, respectively); while there were no benefits from chemotherapy in a low RTIMS patients. CONCLUSION This PET/CT radiomics model provided a promising way to assess the tumor immune microenvironment and to predict clinical outcomes and chemotherapy response. The RTIMS signature could be useful in estimating tumor immune microenvironment and predicting survival and chemotherapy benefit for patients with gastric cancer, when validated by further prospective randomized trials.
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Affiliation(s)
- Junmeng Li
- Department of Gastrointestinal Surgery, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Chao Zhang
- Department of Gastrointestinal Surgery, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Huihui Guo
- Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, Henan, China
| | - Shuang Li
- Department of Pathology, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Yang You
- Department of Nuclear Medicine, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, Henan, China
| | - Peiming Zheng
- Department of Clinical Laboratory, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Hongquan Zhang
- Department of Thoracic Surgery, The First Hospital Affiliated of Xinxiang Medical University, Xinxiang, China
| | - Huanan Wang
- Department of Gastrointestinal Surgery, The First Hospital Affiliated of Zhengzhou University, Zhengzhou, China
| | - Junwei Bai
- Department of Gastrointestinal Surgery, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
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Zheng S, Li Z, Liu Y, Zhang H, Zheng P, Liang X, Li Y, Bu X, Zou X. UWB-VIO Fusion for Accurate and Robust Relative Localization of Round Robotic Teams. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3208354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- S. Zheng
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - Z. Li
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - Y. Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - H. Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - P. Zheng
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - X. Liang
- State Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - Y. Li
- State Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - X. Bu
- State Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - X. Zou
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
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Yang G, Zhang Z, Zhang G, Liu Q, Zheng P, Wang R. Tipping point of plant functional traits of Leymus chinensis to nitrogen addition in a temperate grassland. Front Plant Sci 2022; 13:982478. [PMID: 36061793 PMCID: PMC9428514 DOI: 10.3389/fpls.2022.982478] [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] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
It has widely been documented that nitrogen (N) enrichment stimulates plant growth and modifies plant functional traits in the terrestrial ecosystem. However, it remains unclear whether there are critical transitions or tipping points for the response of plant growth or traits to N enrichment, and how these responses differ to different N forms. We chose the native, perennial clonal grass, Leymus chinensis in Inner Mongolia steppe, and conducted a field experiment, in which six N addition rates (0, 2, 5, 10, 20, and 50 g N m-2 year-1) and five N compound types [NH4NO3, (NH4)2SO4, NH4HCO3, CO(NH2)2, slow-release CO(NH2)2] are considered. Here, we found that the different N compound types had no significant effect on the growth of L. chinensis. N addition rate significantly increased plant aboveground biomass and leaf nitrogen concentration, whereas decreased leaf dry matter content. The tipping point for N-induced aboveground biomass increase was at 10 g N m-2 year-1, and the changes in functional traits were at N addition rates of 20 g N m-2 year-1. Our findings suggested that the responses of aboveground biomass and functional traits to N addition were asymmetric, in which responses in aboveground biomass were more sensitive than that in functional traits. The differential sensitivity of aboveground biomass and functional traits of L. chinensis occurred to N deposition highlights the importance of functional traits in mediating ecosystem functioning in the face of N deposition, regardless of which chemical forms dominate in the deposited N.
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Affiliation(s)
- Guojiao Yang
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Qingdao, China
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Hainan University, Haikou, China
| | - Zijia Zhang
- Hainan Ecological Environment Monitoring Center, Haikou, China
| | - Guangming Zhang
- Department of Pharmaceutical Science, Changzhi Medical College, Changzhi, China
| | - Qianguang Liu
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Hainan University, Haikou, China
| | - Peiming Zheng
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Renqing Wang
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
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21
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Li W, Zhao SL, Zheng P, Shi PQ, Zhou Y, Zhang T, Huo J, Yang J. [Gastric cancer-derived mesenchymal stem cells regulate the M2 polarization of macrophages within gastric cancer microenvironment via JAK2/STAT3 signaling pathway]. Zhonghua Zhong Liu Za Zhi 2022; 44:728-736. [PMID: 35880339 DOI: 10.3760/cma.j.cn112152-20200106-00008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To investigate the role and mechanism of tumor-derived mesenchymal stem cells in regulating the M2 polarization of macrophages within gastric cancer microenvironment. Methods: Gastric cancer tissues and the adjacent non-cancerous tissues were collected from patients underwent gastric cancer resection in the First People's Hospital of Lianyungang during 2018. In our study, THP-1-differentiated macrophages were co-cultured with gastric cancer-derived mesenchymal stem cells (GC-MSCs). Then, the M2 subtype-related gene, the markers expressed on cell surface and the cytokine profile were analyzed by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR), flow cytometry and Luminex liquid chip, respectively. The key cytokines mediating the inducing effect of GC-MSCs on macrophage polarization into the M2 subtype were detected and screened by Luminex liquid chip, which were further confirmed by the neutralizing antibody test. The expressions of macrophage proteins involved in M2 polarization-related signaling pathways under the different co-culture conditions of GC-MSCs were detected by western blot. Results: In Mac+ GC-MSC-culture medium (CM) group, the expression levels of Ym-1 and Fizz-1 (1.53±0.32 and 13.22±1.05, respectively), which are markers for M2 subtype, were both significantly higher than those of Mac group (1.00±0.05 and 1.21±0.38, respectively, P<0.05). The level of iNOS in Mac+ GC-MSC-CM group (0.60±0.41) was significantly lower than that of Mac group (1.06±0.38, P=0.023). In Mac+ GC-MSC-Transwell (TW) group, the expression levels of Ym-1 and Fizz-1 (1.47±0.09 and 13.16±2.77, respectively) were both significantly higher than those of Mac group (1.00±0.05 and 1.21±0.38, respectively, P<0.05). The level of iNOS in Mac+ GC-MSC-CM group (0.56±0.03) was significantly lower than that of Mac group (1.06±0.38, P=0.026). The ratios of CD163(+) /CD204(+) cells in Mac+ GC-MSC-CM and Mac+ GC-MSC-TW groups (3.80% and 4.40%, respectively) were both remarkably higher than that of Mac group (0.60%, P<0.05). The expression levels of IL-10, IL-6, MCP-1 and VEGF in Mac+ GC-MSC-CM group were (592.60±87.52), (1 346.80±64.70), (11 256.00±29.03) and (1 463.90±66.67) pg/ml, respectively, which were significantly higher than those of Mac group [(41.03±2.59), (17.35±1.79), (5 213.30±523.71) and (267.12±12.06) pg/ml, respectively, P<0.05]. The levels of TNF-α, IP-10, RANTES and MIP-1α were (95.57±9.34), (410.48±40.68), (6 967.30±1.29) and (1 538.70±283.04) pg/ml, which were significantly lower than those of Mac group [(138.01±24.31, (1 298.60±310.50), (14 631.00±4.21) and (6 633.20±1.47) pg/ml, respectively, P<0.05]. The levels of IL-6 and IL-8 in GC-MSCs [(11 185.02±2.82) and (12 718.03±370.17) pg/ml, respectively] were both strikingly higher than those of MSCs from adjacent non-cancerous gastric cancer tissues [(270.71±59.38) and (106.04±32.84) pg/ml, repectively, P<0.05]. The ratios of CD86(+) cells in Mac+ IL-6-blocked-GC-MSC-CM and Mac+ IL-8-blocked-GC-MSC-CM groups (28.80% and 31.40%, respectively) were both higher than that of Mac+ GC-MSC-CM group (24.70%). Compared to Mac+ GC-MSC-CM group (13.70%), the ratios of CD204(+) cells in Mac+ IL-6-blocked-GC-MSC-CM and Mac+ IL-8-blocked-GC-MSC-CM groups (9.90% and 8.70%, separately) were reduced. The expression levels of p-JAK2 and p-STAT3, which are proteins of macrophage M2 polarization-related signaling pathway, in Mac+ GC-MSC-CM group (0.86±0.01 and 1.08±0.01, respectively) were significantly higher than those of Mac group (0.50±0.01 and 0.82±0.01, respectively, P<0.05). The expression levels of p-JAK2 in Mac+ IL-6-blocked-GC-MSC-CM group (0.47±0.02) were significantly lower those that of Mac+ GC-MSC-CM group (0.86±0.01, P<0.05). The expression levels of p-JAK2 and p-STAT3 in Mac+ IL-8-blocked-GC-MSC-CM group (0.50±0.01 and 0.85±0.01, respectively) were both significantly lower than those of Mac+ GC-MSC-CM group (0.86±0.01 and 1.08±0.01, P<0.05). The expression levels of p-JAK2 and p-STAT3 in Mac+ IL-6/IL-8-blocked-GC-MSC-CM group (0.37±0.01 and 0.65±0.01, respectively) were both significantly lower than those of Mac+ GC-MSC-CM group (0.86±0.01 and 1.08±0.01, P<0.05). Conclusion: GC-MSCs promote the activation of JAK2/STAT3 signaling pathway in macrophages via high secretions of IL-6 and IL-8, which subsequently induce the macrophage polarization into a pro-tumor M2 subtype within gastric cancer microenvironment.
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Affiliation(s)
- W Li
- Center Laboratory, the First People's Hospital of Lianyungang, Lianyungang 222001, China
| | - S L Zhao
- Clinical Laboratory, the First People's Hospital of Lianyungang, Lianyungang 222001, China
| | - P Zheng
- Clinical Laboratory, the First People's Hospital of Lianyungang, Lianyungang 222001, China
| | - P Q Shi
- Clinical Laboratory, the First People's Hospital of Lianyungang, Lianyungang 222001, China
| | - Y Zhou
- Clinical Laboratory, the First People's Hospital of Lianyungang, Lianyungang 222001, China
| | - T Zhang
- Center Laboratory, the First People's Hospital of Lianyungang, Lianyungang 222001, China
| | - J Huo
- Center Laboratory, the First People's Hospital of Lianyungang, Lianyungang 222001, China
| | - J Yang
- Clinical Laboratory, the First People's Hospital of Lianyungang, Lianyungang 222001, China
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22
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Zheng P, Gao H, Xie X, Lu P. Plasma Exosomal hsa_circ_0015286 as a Potential Diagnostic and Prognostic Biomarker for Gastric Cancer. Pathol Oncol Res 2022; 28:1610446. [PMID: 35755416 PMCID: PMC9218071 DOI: 10.3389/pore.2022.1610446] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [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: 03/16/2022] [Accepted: 05/26/2022] [Indexed: 01/13/2023]
Abstract
Circular RNA (circRNA) is stable and abundant in exosomes as a potential biomarker for the diagnosis and prognosis of tumor. In this study, cancer specific exosomal circRNAs were identified through circRNA microarray, and 58 circRNAs were significantly upregulated in cancer cells derived exosomes. Then 60 patients with newly diagnosed gastric cancer (GC), 30 chronic gastritis patients and 30 healthy subjects were enrolled for further clinical validation. We detected that hsa_circ_0015286 was remarkably highly expressed in GC tissue, plasma and cancer cells compared with normal controls. Results of ROC curve analysis showed that the area under curve (AUC) of hsa_circ_0015286, CEA and CA 19-9 was 0.778, 0.673, and 0.665, respectively. The combined detection of three indicators had the highest AUC (0.843). Exosomal hsa_circ_0015286 expression was closely associated with tumor size, TNM stage and lymph node metastasis. The expression level of exosomal hsa_circ_0015286 in GC patients decreased significantly after surgery. Overall survival of patients with low hsa_circ_0015286 expression was longer than those with high expression. Our data demonstrated that exosomal hsa_circ_0015286 might be a promising noninvasive biomarker for the diagnosis and prognosis evaluation of GC.
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Affiliation(s)
- Peiming Zheng
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China
| | - Huijie Gao
- Department of Oncology, The First Affiliated Hospital of Henan University, Kaifeng, China
| | - Xuanhu Xie
- Department of Oncology, The First Affiliated Hospital of Henan University, Kaifeng, China
| | - Peipei Lu
- Department of Oncology, The First Affiliated Hospital of Henan University, Kaifeng, China
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23
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Qin S, Yang G, Zhang Y, Song M, Sun L, Cui Y, Dong J, Wang N, Liu X, Zheng P, Wang R. Mowing Did Not Alleviate the Negative Effect of Nitrogen Addition on the Arbuscular Mycorrhizal Fungal Community in a Temperate Meadow Grassland. Front Plant Sci 2022; 13:917645. [PMID: 35755642 PMCID: PMC9228033 DOI: 10.3389/fpls.2022.917645] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 05/23/2022] [Indexed: 06/15/2023]
Abstract
As nitrogen deposition intensifies under global climate change, understanding the responses of arbuscular mycorrhizal (AM) fungi to nitrogen deposition and the associated mechanisms are critical for terrestrial ecosystems. In this study, the effects of nitrogen addition and mowing on AM fungal communities in soil and mixed roots were investigated in an Inner Mongolia grassland. The results showed that nitrogen addition reduced the α-diversity of AM fungi in soil rather than that of root. Besides, nitrogen addition altered the composition of AM fungal community in soil. Soil pH and inorganic nitrogen content were the main causes of changes in AM fungal communities affected by nitrogen addition. Mowing and the interaction of nitrogen addition and mowing had no significant effect on AM fungal community diversity. In contrast, while mowing may reduce the negative effects of nitrogen addition on the richness and diversity of plants by alleviating light limitation, it could not do so with the negative effects on AM fungal communities. Furthermore, AM fungal communities clustered phylogenetically in all treatments in both soil and roots, indicating that environmental filtering was the main driving force for AM fungal community assembly. Our results highlight the different responses of AM fungi in the soil and roots of a grassland ecosystem to nitrogen addition and mowing. The study will improve our understanding of the effects of nitrogen deposition on the function of ecosystem.
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Affiliation(s)
- Siqi Qin
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
| | - Guojiao Yang
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- College of Ecology and Environment, Hainan University, Haikou, China
| | - Yang Zhang
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
| | - Meixia Song
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
| | - Lu Sun
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
| | - Yangzhe Cui
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
| | - Jibin Dong
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
| | - Ning Wang
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
| | - Xiao Liu
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
| | - Peiming Zheng
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
| | - Renqing Wang
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Jinan, China
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Dong J, Yin T, Liu H, Sun L, Qin S, Zhang Y, Liu X, Fan P, Wang H, Zheng P, Wang R. Vegetation Greenness Dynamics in the Western Greater Khingan Range of Northeast China Based on Dendrochronology. Biology 2022; 11:biology11050679. [PMID: 35625407 PMCID: PMC9138829 DOI: 10.3390/biology11050679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/26/2022] [Accepted: 04/26/2022] [Indexed: 11/16/2022]
Abstract
Understanding the vegetation greenness dynamics in the forest–steppe transition zone is essential for ecosystem management, and in order to study ecological changes in the region. This study provides a valuable record of the vegetation greenness dynamics in the western Greater Khingan Range over the past 193 years (1826–2018) based on tree-ring data represented by the normalized difference vegetation index (NDVI). The reconstructed vegetation greenness dynamics record contains a total of 32 years of high vegetation greenness and 37 years of low vegetation greenness, together occupying 35.8% of the entire reconstructed period (193 years). Climate (precipitation) is the main influence on the vegetation greenness dynamics at this site, but human activities have also had a significant impact over the last few decades. The magnitude, frequency, and duration of extreme changes in vegetation greenness dynamics have increased significantly, with progressively shorter intervals. Analyses targeting human behavior have shown that the density of livestock, agricultural land area, and total population have gradually increased, encroaching on forests and grasslands and reducing the inter-annual variability. After 2002, the government implemented projects to return farmland to its original ecosystems, and for the implementation of new land management practices (which are more ecologically related); as such, the vegetation conditions began to improve. These findings will help us to understand the relationship between climate change and inter- and intra- annual dynamics in northeastern China, and to better understand the impact of human activities on vegetation greenness dynamics.
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Affiliation(s)
- Jibin Dong
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Tingting Yin
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Hongxiang Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Lu Sun
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Siqi Qin
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Yang Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Xiao Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Peixian Fan
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
- Correspondence:
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao 266237, China; (J.D.); (T.Y.); (H.L.); (L.S.); (S.Q.); (Y.Z.); (X.L.); (H.W.); (R.W.)
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao 266237, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao 266237, China;
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25
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Sun L, Yang G, Zhang Y, Qin S, Dong J, Cui Y, Liu X, Zheng P, Wang R. Leaf Functional Traits of Two Species Affected by Nitrogen Addition Rate and Period Not Nitrogen Compound Type in a Meadow Grassland. Front Plant Sci 2022; 13:841464. [PMID: 35295632 PMCID: PMC8918929 DOI: 10.3389/fpls.2022.841464] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/09/2022] [Indexed: 06/14/2023]
Abstract
Plasticity of plant functional traits plays an important role in plant growth and survival under changing climate. However, knowledge about how leaf functional traits respond to the multi-level N addition rates, multiple N compound and duration of N application remains lacking. This study investigated the effects of 2-year and 7-year N addition on the leaf functional traits of Leymus chinensis and Thermopsis lanceolata in a meadow grassland. The results showed that the type of N compounds had no significant effect on leaf functional traits regardless of duration of N application. N addition significantly increased the leaf total N content (LN) and specific leaf area (SLA), and decreased the leaf total P content (LP) and leaf dry matter content (LDMC) of the two species. Compared with short-term N addition, long-term N addition increased LN, LP, SLA, and plant height, but decreased the LDMC. In addition, the traits of the two species were differentially responsive to N addition, LN and LP of T. lanceolata were consistently higher than those of L. chinensis. N addition would make L. chinensis and T. lanceolata tend to "quick investment-return" strategy. Our results provide more robust and comprehensive predictions of the effects of N deposition on leaf traits.
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Affiliation(s)
- Lu Sun
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao, China
| | - Guojiao Yang
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- College of Ecology and Environment, Hainan University, Haikou, China
| | - Yang Zhang
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao, China
| | - Siqi Qin
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao, China
| | - Jibin Dong
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao, China
| | - Yangzhe Cui
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao, China
| | - Xiao Liu
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao, China
| | - Peiming Zheng
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao, China
| | - Renqing Wang
- School of Life Sciences, Institute of Ecology and Biodiversity, Shandong University, Jinan, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Jinan, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Qingdao, China
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26
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Wang N, Ji T, Liu X, Li Q, Sairebieli K, Wu P, Song H, Wang H, Du N, Zheng P, Wang R. Defoliation Significantly Suppressed Plant Growth Under Low Light Conditions in Two Leguminosae Species. Front Plant Sci 2022; 12:777328. [PMID: 35069632 PMCID: PMC8776832 DOI: 10.3389/fpls.2021.777328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 12/15/2021] [Indexed: 06/14/2023]
Abstract
Seedlings in regenerating layer are frequently attacked by herbivorous insects, while the combined effects of defoliation and shading are not fully understood. In the present study, two Leguminosae species (Robinia pseudoacacia and Amorpha fruticosa) were selected to study their responses to combined light and defoliation treatments. In a greenhouse experiment, light treatments (L+, 88% vs L-, 8% full sunlight) and defoliation treatments (CK, without defoliation vs DE, defoliation 50% of the upper crown) were applied at the same time. The seedlings' physiological and growth traits were determined at 1, 10, 30, and 70 days after the combined treatment. Our results showed that the effects of defoliation on growth and carbon allocation under high light treatments in both species were mainly concentrated in the early stage (days 1-10). R. pseudoacacia can achieve growth recovery within 10 days after defoliation, while A. fruticosa needs 30 days. Seedlings increased SLA and total chlorophyll concentration to improve light capture efficiency under low light treatments in both species, at the expense of reduced leaf thickness and leaf lignin concentration. The negative effects of defoliation treatment on plant growth and non-structural carbohydrates (NSCs) concentration in low light treatment were significantly higher than that in high light treatment after recovery for 70 days in R. pseudoacacia, suggesting sufficient production of carbohydrate would be crucial for seedling growth after defoliation. Plant growth was more sensitive to defoliation and low light stress than photosynthesis, resulting in NSCs accumulating during the early period of treatment. These results illustrated that although seedlings could adjust their resource allocation strategy and carbon dynamics in response to combined defoliation and light treatments, individuals grown in low light conditions will be more suppressed by defoliation. Our results indicate that we should pay more attention to understory seedlings' regeneration under the pressure of herbivorous insects.
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Affiliation(s)
- Ning Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Tianyu Ji
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Xiao Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Qiang Li
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Kulihong Sairebieli
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Pan Wu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Huijia Song
- Beijing Museum of Natural History, Beijing, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Ning Du
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
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Wang J, Xu X, Cheng T, Gu L, Qiao R, Liang Z, Ding D, Hong H, Zheng P, Zhang Z, Zhang Z, Zhang S, Cui G, Chang C, Huang C, Qi J, Liang J, Liu C, Zuo Y, Xue G, Fang X, Tian J, Wu M, Guo Y, Yao Z, Jiao Q, Liu L, Gao P, Li Q, Yang R, Zhang G, Tang Z, Yu D, Wang E, Lu J, Zhao Y, Wu S, Ding F, Liu K. Dual-coupling-guided epitaxial growth of wafer-scale single-crystal WS 2 monolayer on vicinal a-plane sapphire. Nat Nanotechnol 2022; 17:33-38. [PMID: 34782776 DOI: 10.1038/s41565-021-01004-0] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 09/09/2021] [Indexed: 06/13/2023]
Abstract
The growth of wafer-scale single-crystal two-dimensional transition metal dichalcogenides (TMDs) on insulating substrates is critically important for a variety of high-end applications1-4. Although the epitaxial growth of wafer-scale graphene and hexagonal boron nitride on metal surfaces has been reported5-8, these techniques are not applicable for growing TMDs on insulating substrates because of substantial differences in growth kinetics. Thus, despite great efforts9-20, the direct growth of wafer-scale single-crystal TMDs on insulating substrates is yet to be realized. Here we report the successful epitaxial growth of two-inch single-crystal WS2 monolayer films on vicinal a-plane sapphire surfaces. In-depth characterizations and theoretical calculations reveal that the epitaxy is driven by a dual-coupling-guided mechanism, where the sapphire plane-WS2 interaction leads to two preferred antiparallel orientations of the WS2 crystal, and sapphire step edge-WS2 interaction breaks the symmetry of the antiparallel orientations. These two interactions result in the unidirectional alignment of nearly all the WS2 islands. The unidirectional alignment and seamless stitching of WS2 islands are illustrated via multiscale characterization techniques; the high quality of WS2 monolayers is further evidenced by a photoluminescent circular helicity of ~55%, comparable to that of exfoliated WS2 flakes. Our findings offer the opportunity to boost the production of wafer-scale single crystals of a broad range of two-dimensional materials on insulators, paving the way to applications in integrated devices.
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Affiliation(s)
- Jinhuan Wang
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
- School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China
| | - Xiaozhi Xu
- Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China
| | - Ting Cheng
- Center for Multidimensional Carbon Materials, Institute for Basic Science, Ulsan, Korea
- College of Chemistry and Molecular Engineering, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Lehua Gu
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai, China
| | - Ruixi Qiao
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
- International Center for Quantum Materials, Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Zhihua Liang
- Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China
| | - Dongdong Ding
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Hao Hong
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
- Interdisciplinary Institute of Light-Element Quantum Materials and Research Center for Light-Element Advanced Materials, Peking University, Beijing, China
| | - Peiming Zheng
- Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China
| | - Zhibin Zhang
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Zhihong Zhang
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Shuai Zhang
- Department of Engineering Mechanics, State Key Laboratory of Tribology, Tsinghua University, Beijing, China
| | - Guoliang Cui
- Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China
| | - Chao Chang
- Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China
| | - Chen Huang
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Jiajie Qi
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Jing Liang
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Can Liu
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Yonggang Zuo
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Guodong Xue
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Xinjie Fang
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Jinpeng Tian
- Nanoscale Physics and Devices Laboratory, Institute of Physics, Chinese Academy of Sciences, Beijing, China
| | - Muhong Wu
- International Center for Quantum Materials, Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Yi Guo
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Zhixin Yao
- School of Materials Science and Engineering, Peking University, Beijing, China
| | - Qingze Jiao
- School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China
| | - Lei Liu
- School of Materials Science and Engineering, Peking University, Beijing, China
| | - Peng Gao
- International Center for Quantum Materials, Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
| | - Qunyang Li
- Department of Engineering Mechanics, State Key Laboratory of Tribology, Tsinghua University, Beijing, China
| | - Rong Yang
- Nanoscale Physics and Devices Laboratory, Institute of Physics, Chinese Academy of Sciences, Beijing, China
| | - Guangyu Zhang
- Nanoscale Physics and Devices Laboratory, Institute of Physics, Chinese Academy of Sciences, Beijing, China
- Songshan Lake Materials Laboratory, Institute of Physics, Chinese Academy of Sciences, Guangdong, China
| | - Zhilie Tang
- Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, Guangdong-Hong Kong Joint Laboratory of Quantum Matter, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China
| | - Dapeng Yu
- Shenzhen Institute for Quantum Science and Engineering, and Department of Physics, Southern University of Science and Technology, Shenzhen, China
| | - Enge Wang
- International Center for Quantum Materials, Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China
- Songshan Lake Materials Laboratory, Institute of Physics, Chinese Academy of Sciences, Guangdong, China
- School of Physics, Liaoning University, Shenyang, China
| | - Jianming Lu
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China
| | - Yun Zhao
- School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China.
| | - Shiwei Wu
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai, China.
| | - Feng Ding
- Center for Multidimensional Carbon Materials, Institute for Basic Science, Ulsan, Korea.
- School of Materials Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea.
| | - Kaihui Liu
- State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China.
- International Center for Quantum Materials, Collaborative Innovation Center of Quantum Matter, Peking University, Beijing, China.
- Songshan Lake Materials Laboratory, Institute of Physics, Chinese Academy of Sciences, Guangdong, China.
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Diao H, Zheng P, Yu B, He J, Mao X, Yu J, Chen D. Corrigendum to ’Effects of dietary supplementation with benzoic acid on intestinal morphological structure and microflora in weaned piglets’. Livest Sci 2021. [DOI: 10.1016/j.livsci.2021.104737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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29
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Feng S, Chen JX, Liu S, Zheng P, Sun J, Zhang X, Chen Q. [Clinical and prognostic study of anti-N-methyl-D-aspartate receptor encephalitis children with paroxysmal sympathetic hyperactivity syndrome]. Zhonghua Yi Xue Za Zhi 2021; 101:3600-3603. [PMID: 34808755 DOI: 10.3760/cma.j.issn112137-20210322-00708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The data of clinical characteristics, medical cost and prognosis of 22 anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis children from the Department of Neurology, Capital Institute of Pediatrics between May 2018 and January 2021 were analyzed, and 6 of them occurred paroxysmal sympathetic hyperactivity syndrome (PSH). It was found that the anti-NMDAR encephalitis children with PSH had severer consciousness disorder [median Glasgow Coma Scale (GCS) score at admission: 7.5], longer duration of consciousness disorder (median time: 53 days), higher hospitalization cost (median cost: 230 000 RMB), severer neurological injury at onset [median modified Rankin Scale (mRS) score at admission: 4], and longer recovery time of neurological function (median time of mRS score recovered to 0-2: 7 months), compared with those without PSH (all P<0.05). Therefore, more attention should be paid to sympathetic excited symptoms of anti NMDAR encephalitis, and thus identify and intervene early on PSH to reduce the neurological damage and economic burden.
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Affiliation(s)
- S Feng
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - J X Chen
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - S Liu
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - P Zheng
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - J Sun
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
| | - X Zhang
- Department of Medical Genetics, School of Basic Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Q Chen
- Department of Neurology, Capital Institute of Pediatrics, Beijing 100020, China
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30
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Gu YL, Wu HF, Zheng P, Li HX. [Spinster homolog 2: the intersection of inflammation and tumor progression]. Zhonghua Bing Li Xue Za Zhi 2021; 50:1320-1324. [PMID: 34719185 DOI: 10.3760/cma.j.cn112151-20210402-00254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Y L Gu
- Department of Pathology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - H F Wu
- Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - P Zheng
- Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - H X Li
- Department of Pathology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
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31
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Chen C, Hu H, Li X, Zheng Z, Wang Z, Wang X, Zheng P, Cui F, Li G, Wang Y, Liu Z, Ma Y. Rapid Detection of Anti-SARS-CoV-2 Antibody Using a Selenium Nanoparticle-Based Lateral Flow Immunoassay. IEEE Trans Nanobioscience 2021; 21:37-43. [PMID: 34406945 PMCID: PMC8905607 DOI: 10.1109/tnb.2021.3105662] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Coronavirus disease 2019 is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2 is highly transmissible. Early and rapid testing is necessary to effectively prevent and control the outbreak. Detection of SARS-CoV-2 antibodies with lateral flow immunoassay can achieve this goal. In this study, SARS-CoV-2 nucleoprotein (NP) was expressed and purified. We used the selenium nanoparticle as the labeling probe coupled with the NP to prepare an antibody (IgM and IgG) detection kit. The detection limit, cross reaction, sensitivity and specificity of the kit is verified. Separate detection of IgM and IgG, such as in this assay, was performed in order to reduce mutual interference and improve the accuracy of the test results.The final purity of NP was 91.83%. Selenium nanoparticle and NP successfully combined with stable effect. The LOD of the kit was 20 ng/mL for anti-NP IgG and 60 ng/mL for anti-NP IgM, respectively. The kit does not cross reaction with RF. The sensitivity of the kit was 94.74% and the specificity was 96.23%. The assay kit does not require any special device for reading the results and the readout is a simple color change that can be evaluated with the naked eye. This kit is suitable for rapid and real-time detection of the SARS-CoV-2 antibody IgG and IgM.
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32
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Wang F, Sun X, Dong J, Cui R, Liu X, Li X, Wang H, He T, Zheng P, Wang R. A primary study of breeding system of Ziziphus jujuba var. spinosa. Sci Rep 2021; 11:10318. [PMID: 33990668 PMCID: PMC8121906 DOI: 10.1038/s41598-021-89696-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 04/26/2021] [Indexed: 11/28/2022] Open
Abstract
Ziziphus jujuba var. spinosa has been used as a windbreak and for soil conservation and water retention. Previous studies focused on pharmacological effects and extraction of chemical components in this species, and very few explored the breeding system. The present study combined the analysis of floral morphology, behavior of flower visitors, and artificial pollination to reveal reproductive characteristics of the species. Its flowers are characterized by dichogamy, herkogamy, and stamen movement, which are evolutionary adaptations to its breeding system. There were more than 40 species of visiting insects, mainly Hymenoptera and Diptera, and the characteristics of dichogamous and herkogamous flower adapted to the visiting insects. The breeding system is outcrossing, partially self-compatible, and demand for pollinators. The fruit setting rate after natural pollination was 2%. Geitonogamy and xenogamy did not significantly increase the fruit setting rate, indicating that the low fruit setting rate was not due to pollen limitation by likely caused by resource limitation or fruit consumption. The fruit setting rate of zero in emasculated and in naturally and hand self-pollinated individuals suggested the absence of apomixis and spontaneous self-pollination. The above results can be utilized in studies on evolution and cultivation of Z. jujuba var. spinosa.
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Affiliation(s)
- Feng Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China.,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Xiaohan Sun
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China.,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Jibin Dong
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China.,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Rong Cui
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China.,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Xiao Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China.,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Xiangxiang Li
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China.,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China.,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Tongli He
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China.,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China. .,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China. .,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China.
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 72 Binhai Road, Qingdao, 266237, China.,Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China.,Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
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33
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Zhang F, Shi M, Zhou CM, Hou J, Liao Q, Zheng P, Yan JX, Guo P. [Clinicopathological analysis of 6 cases of minimal deviation adenocarcinoma of cervix with 5 ovarian metastasis]. Zhonghua Bing Li Xue Za Zhi 2021; 50:134-136. [PMID: 33535310 DOI: 10.3760/cma.j.cn112151-20200510-00373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- F Zhang
- Department of Pathology, Sichuan Cancer Hospital, Chengdu 610041, China
| | - M Shi
- Department of Pathology, Sichuan Cancer Hospital, Chengdu 610041, China
| | - C M Zhou
- Department of Pathology, Sichuan Cancer Hospital, Chengdu 610041, China
| | - J Hou
- Department of Pathology, Sichuan Cancer Hospital, Chengdu 610041, China
| | - Q Liao
- Department of Pathology, Sichuan Cancer Hospital, Chengdu 610041, China
| | - P Zheng
- Department of Pathology, Sichuan Cancer Hospital, Chengdu 610041, China
| | - J X Yan
- Department of Pathology, Sichuan Cancer Hospital, Chengdu 610041, China
| | - P Guo
- Department of Pathology, Sichuan Cancer Hospital, Chengdu 610041, China
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34
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Diao H, Xiao Y, Yan HL, Yu B, He J, Zheng P, Yu J, Mao XB, Chen DW. Effects of Early Transplantation of the Faecal Microbiota from Tibetan Pigs on the Gut Development of DSS-Challenged Piglets. Biomed Res Int 2021; 2021:9823969. [PMID: 33532501 PMCID: PMC7837763 DOI: 10.1155/2021/9823969] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 12/30/2020] [Accepted: 01/06/2021] [Indexed: 12/20/2022]
Abstract
The present study was conducted to investigate the effects of early transplantation of the faecal microbiota from Tibetan pigs on the gut development of dextran sulphate sodium- (DSS-) challenged piglets. In total, 24 3-day-old DLY piglets were divided into four groups (n = 6 per group); a 2 × 2 factorial arrangement was used, which included faecal microbiota transplantation (FMT) (from Tibetan pigs) and DSS challenge. The whole trial lasted for 55 days. DSS infusion increased the intestinal density, serum diamine oxidase (DAO) activity, and colonic Escherichia coli count (P < 0.05), and decreased the Lactobacillus spp. count and mRNA abundances of epidermal growth factor (EGF), glucagon-like peptide-2 (GLP-2), insulin-like growth factor 1 (IGF-1), occludin, mucin 2 (MUC2), regeneration protein IIIγ (RegIIIγ), and interleukin-10 (IL-10) in the colon (P < 0.05). FMT increased the Lactobacillus spp. count and mRNA abundances of GLP-2, RegIIIγ, and IL-10 in the colon (P < 0.05), and decreased the intestinal density, serum DAO activity, and colonic E. coli number (P < 0.05). In addition, in DSS-challenged piglets, FMT decreased the disease activity index (P < 0.05) and attenuated the effect of DSS challenge on the intestinal density, serum DAO activity, and colonic E. coli number (P < 0.05). These data indicated that the faecal microbiota from Tibetan pigs could attenuate the negative effect of DSS challenge on the gut development of piglets.
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Affiliation(s)
- H. Diao
- Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, No. 46 Xinkang Road, Ya'an, Sichuan 625014, China
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Academy of Animal Science, No. 7 Niusha Road, Chengdu, Sichuan 610066, China
| | - Y. Xiao
- Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, No. 46 Xinkang Road, Ya'an, Sichuan 625014, China
| | - H. L. Yan
- Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, No. 46 Xinkang Road, Ya'an, Sichuan 625014, China
| | - B. Yu
- Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, No. 46 Xinkang Road, Ya'an, Sichuan 625014, China
| | - J. He
- Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, No. 46 Xinkang Road, Ya'an, Sichuan 625014, China
| | - P. Zheng
- Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, No. 46 Xinkang Road, Ya'an, Sichuan 625014, China
| | - J. Yu
- Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, No. 46 Xinkang Road, Ya'an, Sichuan 625014, China
| | - X. B. Mao
- Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, No. 46 Xinkang Road, Ya'an, Sichuan 625014, China
| | - D. W. Chen
- Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, No. 46 Xinkang Road, Ya'an, Sichuan 625014, China
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35
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Liu X, Zhang Q, Song M, Wang N, Fan P, Wu P, Cui K, Zheng P, Du N, Wang H, Wang R. Physiological Responses of Robinia pseudoacacia and Quercus acutissima Seedlings to Repeated Drought-Rewatering Under Different Planting Methods. Front Plant Sci 2021; 12:760510. [PMID: 34938307 PMCID: PMC8685255 DOI: 10.3389/fpls.2021.760510] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 11/08/2021] [Indexed: 05/03/2023]
Abstract
Changing precipitation patterns have aggravated the existing uneven water distribution, leading to the alternation of drought and rewatering. Based on this variation, we studied species, namely, Robinia pseudoacacia and Quercus acutissima, with different root forms and water regulation strategy to determine physiological responses to repeated drought-rewatering under different planting methods. Growth, physiological, and hydraulic traits were measured using pure and mixed planting seedlings that were subjected to drought, repeated drought-rewatering (i.e., treatments), and well-irrigated seedlings (i.e., control). Drought had negative effects on plant functional traits, such as significantly decreased xylem water potential (Ψmd), net photosynthetic rate (AP), and then height and basal diameter growth were slowed down, while plant species could form stress imprint and adopt compensatory mechanism after repeated drought-rewatering. Mixed planting of the two tree species prolonged the desiccation time during drought, slowed down Ψmd and AP decreasing, and after rewatering, plant functional traits could recover faster than pure planting. Our results demonstrate that repeated drought-rewatering could make plant species form stress imprint and adopt compensatory mechanism, while mixed planting could weaken the inhibition of drought and finally improve the overall drought resistance; this mechanism may provide a theoretical basis for afforestation and vegetation restoration in the warm temperate zone under rising uneven spatiotemporal water distribution.
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Affiliation(s)
- Xiao Liu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Qinyuan Zhang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Meixia Song
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Ning Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | | | - Pan Wu
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Kening Cui
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Ning Du
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
- *Correspondence: Hui Wang,
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China
- Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
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Wang H, Liu H, Li J, Wei S, Liu X, Wan H, Zheng P, Zheng H. Effect of Ect2 Expression on the Growth of Triple-Negative Breast Cancer Cells with Paclitaxel Intervention. Onco Targets Ther 2020; 13:12905-12918. [PMID: 33376345 PMCID: PMC7756022 DOI: 10.2147/ott.s275725] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 08/06/2020] [Accepted: 12/04/2020] [Indexed: 12/11/2022] Open
Abstract
Object To identify the expression levels of ECT2 (epithelial cell transforming sequence 2) in triple-negative breast cancer (TNBC) before and after administration of paclitaxel (PTX) and explore the interaction between ECT2 and PTX in breast cancer treatment. Methods Lentiviral (LV) packaging ECT2 overexpression and interference plasmids were constructed for in vitro assays. The effects of ECT2 expression on the TNBC cell line (HCC1806), particularly its roles in the proliferation, invasion, migration and apoptosis and cell cycle, were evaluated using the CCK-8 and other methods before and after PTX treatment. In nude mouse xenograft settings were performed to detect cell apoptosis and Ki-67 expression levels by TUNEL and immunohistochemical staining, respectively. Results In the vitro assays, before and after the PTX treatment, comparison of the LV-ECT2 and sh-ECT2 groups and the remaining three groups (control, LV-NC, sh-NC) showed statistically significant differences in terms of cell proliferation, invasion and migration and apoptosis and changes in the cell cycle. In the vivo assays, the control, LV-ECT2 and sh-ECT2 groups markedly outweighed the corresponding PTX-treated groups. The LV-ECT2, PTX, sh-ECT2 and sh-ECT2-PTX were all significantly different from the control group in terms of body weight and tumour size changes. Cell apoptosis occurred in the PTX, sh-ECT2 and sh-ECT2-PTX groups. About the Ki-67 proliferation index, the PTX, LV-ECT2-PTX, sh-ECT2 and sh-ECT2-PTX groups were significantly different from the control group. Conclusion ECT2, which is a major driving factor in the growth of breast cancer cells, plays an important role in regulating TNBC growth. PTX therapy had significantly improved efficacy after silencing ECT2. This finding indicates that the inhibition of ECT2 expression may facilitate the treatment of breast cancer as a new regimen and provide a theoretical basis for the development of new targeted drugs as a replacement for PTX in breast cancer treatment.
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Affiliation(s)
- Hongkun Wang
- Department of Pathology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China.,Department of Pathology, First Clinical Medical College, Shanxi Medical University, Taiyuan City, Shanxi, People's Republic of China
| | - Honggang Liu
- Department of Pathology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jun Li
- Department of Pathology, First Clinical Medical College, Shanxi Medical University, Taiyuan City, Shanxi, People's Republic of China
| | - Shuanyu Wei
- Department of Pathology, First Clinical Medical College, Shanxi Medical University, Taiyuan City, Shanxi, People's Republic of China
| | - Xiaojun Liu
- Department of Pathology, First Clinical Medical College, Shanxi Medical University, Taiyuan City, Shanxi, People's Republic of China
| | - Huili Wan
- Department of Pathology, First Clinical Medical College, Shanxi Medical University, Taiyuan City, Shanxi, People's Republic of China
| | - Peiming Zheng
- Department of Pathology, First Clinical Medical College, Shanxi Medical University, Taiyuan City, Shanxi, People's Republic of China
| | - Huixia Zheng
- Department of Pathology, First Clinical Medical College, Shanxi Medical University, Taiyuan City, Shanxi, People's Republic of China
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Li J, Zhang C, Wei J, Zheng P, Zhang H, Xie Y, Bai J, Zhu Z, Zhou K, Liang X, Xie Y, Qin T. Intratumoral and Peritumoral Radiomics of Contrast-Enhanced CT for Prediction of Disease-Free Survival and Chemotherapy Response in Stage II/III Gastric Cancer. Front Oncol 2020; 10:552270. [PMID: 33425719 PMCID: PMC7794018 DOI: 10.3389/fonc.2020.552270] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [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: 04/15/2020] [Accepted: 11/04/2020] [Indexed: 12/24/2022] Open
Abstract
Background We evaluated the ability of radiomics based on intratumoral and peritumoral regions on preoperative gastric cancer (GC) contrast-enhanced CT imaging to predict disease-free survival (DFS) and chemotherapy response in stage II/III GC. Methods This study enrolled of 739 consecutive stage II/III GC patients. Within the intratumoral and peritumoral regions of CT images, 584 total radiomic features were computed at the portal venous-phase. A radiomics signature (RS) was generated by using support vector machine (SVM) based methods. Univariate and multivariate Cox proportional hazards models and Kaplan-Meier analysis were used to determine the association of the RS and clinicopathological variables with DFS. A radiomics nomogram combining the radiomics signature and clinicopathological findings was constructed for individualized DFS estimation. Results The radiomics signature consisted of 26 features and was significantly associated with DFS in both the training and validation sets (both P<0.0001). Multivariate analysis showed that the RS was an independent predictor of DFS. The signature had a higher predictive accuracy than TNM stage and single radiomics features and clinicopathological factors. Further analysis showed that stage II/III patients with high scores were more likely to benefit from adjuvant chemotherapy. Conclusion The newly developed radiomics signature was a powerful predictor of DFS in GC, and it may predict which patients with stage II and III GC benefit from chemotherapy.
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Affiliation(s)
- Junmeng Li
- Department of Gastrointestinal Surgery, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Chao Zhang
- Department of Gastrointestinal Surgery, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Jia Wei
- Department of Ophthalmology, Henan Key Laboratory for Ophthalmology, Henan Provincial People's Hospital, Henan Provincial Ophthalmology Hospital, Zhengzhou, China
| | - Peiming Zheng
- Department of Clinical Laboratory, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Hui Zhang
- Department of Gastrointestinal Surgery, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Yi Xie
- Department of Gastrointestinal Surgery, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Junwei Bai
- Department of Gastrointestinal Surgery, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Zhonglin Zhu
- Department of Gastrointestinal Surgery, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Kangneng Zhou
- School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaokun Liang
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Shenzhen Colleges of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China
| | - Yaoqin Xie
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Shenzhen Colleges of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China
| | - Tao Qin
- Department of Hepatobiliary Pancreatic Surgery, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, China
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Chen G, Zheng P, Gao L, Zhao J, Wang Y, Qin W. Prevalence and genotype distribution of human papillomavirus in women with cervical cancer or cervical intraepithelial neoplasia in Henan province, central China. J Med Virol 2020; 92:3743-3749. [PMID: 31930525 DOI: 10.1002/jmv.25670] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [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: 07/08/2019] [Accepted: 01/05/2020] [Indexed: 11/06/2022]
Abstract
To evaluate the prevalence of human papillomavirus (HPV) infection and its genotype among women with cervical lesions in Henan Province, central China. A total of 1317 cervical scrapes from patients with cervical intraepithelial neoplasia 1 (CIN1) (n = 91), CIN2/3 (n = 466), and cervical cancer (CC; n = 760) were collected from 2013 to 2018, and then tested for HPV genotypes using polymerase chain reaction followed by flow-through hybridization assay. The prevalence of HPV was 62.64% for patients with CIN1, 86.91% for patients with CIN2/3%, and 89.21% for patients with CC. In total, the HPV prevalence was 86.56%, and the most common HPV type was HPV16 (58.77%) followed by HPV58 (10.33%), 18 (7.67%), 52 (6.61%), and 33 (5.54%). In this study, the high-risk HPV cumulative attribution rate of nine-valent vaccine coverage was markedly higher than that of bivalent or quadrivalent vaccine coverage in each histopathological category or overall (P < .001). Single HPV infection was the main infection category in each histopathological diagnosis, and the total infection rate was 65.83% (867/1317; P < .001). The prevalence of HPV16 or single HPV infection increased with the severity of cervical lesions (P < .001). HPV16, 58, 18, 52, and 33 may be predominant high-risk factors for cervical lesions in Henan Province. The nine-valent prophylactic HPV vaccine is more effective than a bivalent or quadrivalent vaccine for protecting women from CC in the region.
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Affiliation(s)
- Guanghui Chen
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China
| | - Peiming Zheng
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China
| | - Lan Gao
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China
| | - Jing Zhao
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China
| | - Ying Wang
- Department of Pathology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China
| | - Wangsen Qin
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China
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Gao H, Ma J, Cheng Y, Zheng P. Exosomal Transfer of Macrophage-Derived miR-223 Confers Doxorubicin Resistance in Gastric Cancer. Onco Targets Ther 2020; 13:12169-12179. [PMID: 33268995 PMCID: PMC7701146 DOI: 10.2147/ott.s283542] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 11/05/2020] [Indexed: 12/26/2022] Open
Abstract
Purpose Macrophages are a major component of the tumour microenvironment and play an important role in chemoresistance of cancer. However, how exosomal microRNAs (miRNAs) derived from macrophages contribute to the development of doxorubicin resistance in gastric cancer (GC) are not clearly defined. The aim of this study was to investigate whether macrophage-derived exosomes mediate doxorubicin resistance in GC. Methods Exosomes isolated from macrophage culture medium were characterized and co-cultured with GC cells and the miR-223 level was detected using real-time quantitative PCR (RT-qPCR). The internalization of exosomes and transfer of miR-223 were observed via immunofluorescence. Macrophages were transfected with an miR-223 inhibitor or negative control. Cell Counting Kit-8 and flow cytometry were employed to explore the effect of macrophage-derived exosomes on the doxorubicin resistance of GC cells. Western blot and RT-qPCR assay were also performed to explore the regulation of GC chemotherapy resistance by exosomal miR-223. Results Here, the macrophages and macrophage-derived exosomes promoted doxorubicin resistance in GC cells. MiR-223 was enriched in macrophage-derived exosomes and they could be transferred to co-cultivated GC cells. The miR-223 knockdown in macrophages could reduce the effects of exosomes on GC cells. Functional studies revealed that exosomal miR-223 derived from macrophages promoted doxorubicin resistance in GC cells by inhibiting F-box and WD repeat domain-containing 7 (FBXW7). Clinically, the expression of miR-223 significantly increased in GC tissues and high expression of plasma exosomal miR-223 was highly linked with doxorubicin resistance in GC patients. Conclusion The exosomal transfer of macrophage-derived miR-223 conferred doxorubicin resistance in GC and targeting exosome communication may be a promising new therapeutic strategy for GC patients.
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Affiliation(s)
- Huijie Gao
- Department of Oncology, The First Affiliated Hospital of Henan University, Kaifeng, Henan 475000, People's Republic of China
| | - Jincheng Ma
- Department of Oncology, The First Affiliated Hospital of Henan University, Kaifeng, Henan 475000, People's Republic of China
| | - Yanhui Cheng
- Department of Oncology, The First Affiliated Hospital of Henan University, Kaifeng, Henan 475000, People's Republic of China
| | - Peiming Zheng
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, Henan 450003, People's Republic of China
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Sun S, Zhang Y, Huang D, Wang H, Cao Q, Fan P, Yang N, Zheng P, Wang R. The effect of climate change on the richness distribution pattern of oaks (Quercus L.) in China. Sci Total Environ 2020; 744:140786. [PMID: 32702540 DOI: 10.1016/j.scitotenv.2020.140786] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [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: 05/10/2020] [Revised: 07/02/2020] [Accepted: 07/04/2020] [Indexed: 06/11/2023]
Abstract
Increased concentration of greenhouse gases in the air is acknowledged as one of the main reason for observed global climatic change. This phenomenon significantly affects the species geographical distribution, and changes their richness distribution pattern. Oak (Quercus L.) is an important component of forests in China, and it has significant ecological value. Based on the distribution data of 35 species and 19 bioclimatic variables, the potential richness distribution of Quercus L. in China was predicted using the MaxEnt model under present climatic conditions and three different emission scenarios in the years 2050 and 2070 with six General Circulation Models (GCMs). The results revealed that Quercus L. at present was primarily distributed in the mountainous areas of southwestern China. The simulations indicated that climate change could affect the spatial pattern of the richness distribution, and if climate change intensified, its impact would gradually increase. As temperatures rise, the distribution of Quercus L. was predicted to be concentrated, and suitable areas of certain species would contract. These species may migrate to high altitudes or high latitudes. The high percentage of species lost is the reason for the higher turnover values in the mountainous areas, while other regions are mostly be influenced by the high percentage of species gained associated with the northward shift of species. Predicting changes in the richness distribution pattern of Quercus L. as a result of climate change can help us understand the biogeography of Quercus L. and enact conservation strategies to minimize the impacts of climate change.
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Affiliation(s)
- Shuxia Sun
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Yang Zhang
- Department of Statistics and Actuarial Science, Northern Illinois University, Dekalb, United States
| | - Dizhou Huang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Hui Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Qian Cao
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peixian Fan
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Ning Yang
- Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
| | - Peiming Zheng
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China.
| | - Renqing Wang
- Institute of Ecology and Biodiversity, School of Life Sciences, Shandong University, Qingdao, China; Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, Shandong University, Qingdao, China; Qingdao Forest Ecology Research Station of National Forestry and Grassland Administration, Shandong University, Qingdao, China
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Sun Z, Li D, Li Y, Chen D, Yu B, Yu J, Mao X, Zheng P, Luo Y, Luo J, He J. Effects of dietary daidzein supplementation on growth performance, carcass characteristics, and meat quality in growing-finishing pigs. Anim Feed Sci Technol 2020. [DOI: 10.1016/j.anifeedsci.2020.114591] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Luo Q, Zheng N, Jiang L, Wang T, Zhang P, Liu Y, Zheng P, Wang W, Xie G, Chen L, Li D, Dong P, Yuan X, Shen L. Lipid accumulation in macrophages confers protumorigenic polarization and immunity in gastric cancer. Cancer Sci 2020; 111:4000-4011. [PMID: 32798273 PMCID: PMC7648032 DOI: 10.1111/cas.14616] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [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: 04/21/2020] [Revised: 07/29/2020] [Accepted: 08/04/2020] [Indexed: 12/11/2022] Open
Abstract
Heterotypic interactions between tumor cells and macrophages can enable tumor progression and hold potential for the development of therapeutic interventions. However, the communication between tumors and macrophages and its mechanism are poorly understood. Here, we find that tumor-associated macrophages (TAM) from tumor-bearing mice have high amounts of lipid as compared to macrophages from tumor-free mice. TAM also present high lipid content in clinical human gastric cancer patients. Functionally, TAM with high lipid levels are characterized by polarized M2-like profiling, and exhibit decreased phagocytic potency and upregulated programmed death ligand 1 (PD-L1) expression, blocking anti-tumor T cell responses to support their immunosuppressive function. Mechanistically, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identifies the specific PI3K pathway enriched within lipid-laid TAM. Lipid accumulation in TAM is mainly caused by increased uptake of extracellular lipids from tumor cells, which leads to the upregulated expression of gamma isoform of phosphoinositide 3-kinase (PI3K-γ) polarizing TAM to M2-like profiling. Correspondingly, a preclinical gastric cancer model is used to show pharmacological targeting of PI3K-γ in high-lipid TAM with a selective inhibitor, IPI549. IPI549 restores the functional activity of macrophages and substantially enhances the phagocytosis activity and promotes cytotoxic-T-cell-mediated tumor regression. Collectively, this symbiotic tumor-macrophage interplay provides a potential therapeutic target for gastric cancer patients through targeting PI3K-γ in lipid-laden TAM.
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Affiliation(s)
- Qin Luo
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Clinical Laboratory, Affiliated Dongguan People's Hospital, Southern Medical University, Dongguan, China
| | - Naisheng Zheng
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Jiang
- Department of Gynecology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tingting Wang
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng Zhang
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Liu
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peiming Zheng
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Clinical Laboratory, Henan provincial people's Hospital, Zhengzhou, China
| | - Weiwei Wang
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guohua Xie
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Chen
- Department of General Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dongdong Li
- Department of General Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Dong
- Department of General Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangliang Yuan
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lisong Shen
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Huang Z, Chen H, Xue M, Huang H, Zheng P, Luo W, Liang X, Sun B, Zhong N. Characteristics and roles of severe acute respiratory syndrome coronavirus 2-specific antibodies in patients with different severities of coronavirus 19. Clin Exp Immunol 2020; 202:210-219. [PMID: 32706417 PMCID: PMC7405228 DOI: 10.1111/cei.13500] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [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: 05/18/2020] [Revised: 07/12/2020] [Accepted: 07/17/2020] [Indexed: 12/22/2022] Open
Abstract
The diagnosis of coronavirus 19 (COVID-19) relies mainly upon viral nucleic acid detection, but false negatives can lead to missed diagnosis and misdiagnosis; severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific antibody detection is convenient, safe and highly sensitive. Immunoglobulin (Ig)M and IgG are commonly used to serologically diagnose COVID-19; however, the role of IgA is not well known. We aimed to quantify the levels of SARS-CoV-2-specific IgM, IgA and IgG antibodies, identify changes in them based on COVID-19 severity, and establish the significance of combined antibody detection. COVID-19 patients, divided into a severe and critical group and a moderate group, and non-COVID-19 patients with respiratory disease were included in this study. A chemiluminescence method was used to detect the levels of SARS-CoV-2-specific IgM, IgA and IgG in the blood samples from the three groups. Epidemiological characteristics, symptoms, blood test results and other data were recorded for all patients. Compared to the traditional IgM-IgG combined antibodies, IgA-IgG combined antibodies are more effective for diagnosing COVID-19. During the disease process, IgA appeared first and disappeared last. All three antibodies had significantly higher levels in COVID-19 patients than in non-COVID-19 patients. IgA and IgG were also higher for severe and critical disease than for moderate disease. All antibodies were at or near low levels at the time of tracheal extubation in critical patients. Detection of SARS-CoV-2-specific combined IgA-IgG antibodies is advantageous in diagnosing COVID-19. IgA detection is suitable during early and late stages of the disease. IgA and IgG levels correspond to disease severity.
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Affiliation(s)
- Z Huang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - H Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - M Xue
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - H Huang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - P Zheng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - W Luo
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - X Liang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - B Sun
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - N Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Han S, Chen ZJ, Zhou D, Zheng P, Zhang JH, Jia G. [Effects of titanium dioxide nanoparticles on fecal metabolome in rats after oral administration for 90 days]. Beijing Da Xue Xue Bao Yi Xue Ban 2020; 52:457-463. [PMID: 32541978 DOI: 10.19723/j.issn.1671-167x.2020.03.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE To explore the effects and related mechanisms of oral exposure titanium dioxide nanoparticles (TiO2 NPs) for 90 days on the intestinal and the gut microbiota of rats, through fecal metabolomics. METHODS Twelve 4-week-old clean-grade Sprague Dawley (SD) rats were randomly de-vided into 2 groups by body weight, treated with TiO2 NPs at dose of 0 or 50 mg/kg body weight everyday respectively for 90 days. The solution of each infection was freshly prepared and shocked fully by ultrasonic. Characterization of the particle size, crystal form, purity, and specific surface area of TiO2 NPs was conducted. And the fresh feces of the rats were collected on the 90th day. After lyophilized and hydrophilic phase extraction, ultra performance liquid chromatography-Q-exactive orbitrap-high-resolution mass spectrometry system (UPLC-QEMS) was utilized for non-targeted determination of fecal meta-bolites. The metabolites were identified and labeled through Compound Discoverer 3.0 software, and used for subsequent metabolomics analysis. Bioinformatics analysis was carried out including unsupervised principal component analysis and supervised orthogonal projection to latent structure discriminant analysis for the differential metabolites between the two groups. The differential metabolites were followed-up for Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. RESULTS Compared with the control group, the body weight of the rats was significantly reduced (P<0.05) in the treatment group. A total of 22 metabolites in fecal metabolomics showed significant changes. Among them, xanthine, 1-methyladenine, 3-hydroxypyridine, methionine sulfoxide, pyridoxine, 1,5-isoquinolinediol, N-acetylornithine, N-acetyl-D-galactosamine, L-citrulline, L-methionine, leucine, DL-tryptophan, L-ornithine, 4-methyl-5-thiazoleethanol, and L-glutamic acid totaled 15 metabolites increased significantly. N-acetylhistamine, D-pipecolinic acid, imidazolelactic acid, L-valine, 2,3,4,6-tetramethylpyrazine, caprolactam, and histamine totaled 7 metabolites decreased significantly. N-acetylhistamine, L-valine and methionine sulfoxide were changed more than 16 times. Analysis of KEGG pathway revealed that the two metabolic pathways arginine biosynthesis and aminoacyl-tRNA biosynthesis were significantly changed (false discover rate < 0.05, pathway impact > 0.1). CONCLUSION Oral exposure to TiO2 NPs for 90 days could disrupt the metabolism of the intestine and gut microbiota, causing significant changes in metabolites and metabolic pathways which were related to inflammatory response, oxidative stress, glucose homeostasis, blood system and amino acid homeostasis in rat feces. It is suggested that the toxic effect of TiO2 NPs on rats may be closely related to intestinal and gut microbiota metabolism.
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Affiliation(s)
- S Han
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing 100191, China
| | - Z J Chen
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing 100191, China
| | - D Zhou
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing 100191, China
| | - P Zheng
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing 100191, China
| | - J H Zhang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing 100191, China
| | - G Jia
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing 100191, China
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Zhang X, Zheng P, Li Z, Gao S, Liu G. The Somatic Mutation Landscape and RNA Prognostic Markers in Stomach Adenocarcinoma. Onco Targets Ther 2020; 13:7735-7746. [PMID: 32801780 PMCID: PMC7414981 DOI: 10.2147/ott.s263733] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [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: 05/25/2020] [Accepted: 07/12/2020] [Indexed: 01/16/2023] Open
Abstract
Purpose Stomach cancer is one of the highest incidence and mortality malignancies worldwide. Our study aimed to illustrate the somatic mutation landscape and identify molecular markers of stomach cancer. Materials and Methods By integrated analysis of sequencing data and clinical data of stomach adenocarcinoma (STAD) from The Cancer Genome Atlas (TCGA) database, we identified several susceptibility genes and novel molecular markers and validated their potential function by the starBase website. Further, we validated the clinical value of two candidate lncRNAs in collected STAD samples by RT-qPCR. Results We illustrated the distributions of mutation frequencies and types to get the top 20 high-mutation frequency genes in STAD. We also found 2127 mRNAs, 129 miRNAs, and 170 lncRNAs that were differentially expressed. We identified four lncRNA-miRNA-mRNA ceRNAs (PVT1, MAGI2-AS3, MIR17HG, KCNQ1OT1). Besides, 27 mRNAs (PDE4C, ID1, AQP3, VCAN, FAP, NOX4, ANGPT2, SERPINE1, SPARC, PDGFRB, FN1, MFAP2, CSMD2, INHBA, COL10A1, MATN3, P4HA3, ADAMTS12, DGKI, OLFML2B, TMEM200A, FNDC1, CTHRC1, CHST1, F5, COL5A2, TUBB3) and two lncRNAs (MIR4458HG, LINC01235) showed a significant prognostic value, and their prognostic values were validated by the starBase website. What's more, the clinical values of MIR4458HG and LINC01235 were also demonstrated in collected STAD samples. Conclusion We constructed the lncRNA ceRNA networks and identified 20 high-mutation frequency genes and 29 prognostic markers (27 mRNAs and two lncRNAs).
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Affiliation(s)
- Xiulei Zhang
- Department of Microbiome Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China
| | - Peiming Zheng
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China
| | - Zhen Li
- Department of Microbiome Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China
| | - Shanjun Gao
- Department of Microbiome Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China
| | - Guangzhi Liu
- Department of Microbiome Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China.,Department of Obstetrics and Gynecology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China.,Henan Key Laboratory of Stem Cell Differentiation and Modification, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China
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Yan TL, Xia J, Xu JY, Zheng P, Zhou SP, Chen T, Jia G. [Effects of air pollution exposure on olfaction of rats in Beijing]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:774-778. [PMID: 32842301 DOI: 10.3760/cma.j.cn112150-20200508-00699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Objective: To evaluate the effects of exposure of fine particle matter (PM2.5) and ozone (O3) in Beijing as the main pollutants on olfaction of SD rats. Methods: In October 16, 2018, twenty 8-week-old SD rats were randomly divided into two groups, 10 rats in the exposure group and 10 rats in the control group. They were fed in air pollutant exposure system and clean experimental environment respectively, and the concentrations of PM2.5 and O3 in each system were measured. The degree of olfaction damage of SD rats at different feeding time was assessed by using the buried food test (BFT). The difference of BFT time between the two groups was analyzed by performing the repeated measures analysis of variance. Results: The results showed that the concentrations of PM2.5 and O3 in the exposure group were (22.65±11.47) μg/m3 and (12.36±5.87) μg/m3, respectively, while those in the control group were both 0 μg/m3. The repeated measures analysis of variance showed that the time of BFT in the exposure group was longer than that in the control group (F=6.49, P=0.031). With the increase of feeding time, the time of BFT was prolonged (F=61.69, P<0.001). Conclusion: Exposure to PM2.5 and O3 in the atmosphere might lead to olfaction damage in rats.
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Affiliation(s)
- T L Yan
- Department of Occupational and Environmental Health Sciences, Peking University of School of Public Health, Beijing 100191, China
| | - J Xia
- Beijing Friendship Hospital of Capital Medical University, Beijing 100050, China
| | - J Y Xu
- Department of Occupational and Environmental Health Sciences, Peking University of School of Public Health, Beijing 100191, China
| | - P Zheng
- Department of Occupational and Environmental Health Sciences, Peking University of School of Public Health, Beijing 100191, China
| | - S P Zhou
- Department of Laboratory Animal Science, Health Science Center, Peking University, Beijing 100191, China
| | - T Chen
- School of Public Health and the Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - G Jia
- Department of Occupational and Environmental Health Sciences, Peking University of School of Public Health, Beijing 100191, China
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Chen ZJ, Han S, Zheng P, Zhou SP, Jia G. [Effect of subchronic combined oral exposure of titanium dioxide nanoparticles and glucose on levels of serum folate and vitamin B 12 in young SD rats]. Beijing Da Xue Xue Bao Yi Xue Ban 2020; 52:451-456. [PMID: 32541977 DOI: 10.19723/j.issn.1671-167x.2020.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To explore the effect of subchronic combined oral exposure of titanium dioxide nanoparticles and glucose on levels of serum folate and vitamin B12 in young SD rats. METHODS At first, the physical and chemical properties of titanium dioxide nanoparticles, such as particle size, shape, crystal form and agglomeration degree in solution system, were characterized in detail. Eighty 4-week-old young SD rats were randomly divided into 8 groups (10 rats in each group, half male and half female). The rats were exposed to titanium dioxide nanoparticles through intragastric administration at 0, 2, 10 and 50 mg/kg body weight with or without 1.8 g/kg glucose daily for 90 days. At last, the concentrations of serum folate and vitamin B12 were detected. RESULTS Titanium dioxide nanoparticles were anatase crystals, closely spherical shape, with an average particle size of (24±5) nm. In male young rats, compared with the control group, the serum folate concentration was significantly increased when exposed to titanium dioxide nanoparticles (10 mg/kg) and glucose. The difference was statistically significant (P<0.05). However, in female and male young rats, compared with glucose (1.8 g/kg) exposure group, titanium dioxide nanoparticles (50 mg/kg) and glucose significantly reduced the serum folate concentration. The difference was statistically significant (P<0.05). Through statistical analysis of factorial design and calculation of interaction, obvious antagonistic effect was observed between titanium dioxide nanoparticles and glucose on the serum folate concentration in the young female SD rats. The combined oral exposure of titanium dioxide nanoparticles and glucose had little effect on the concentration of serum vitamin B12 in the young SD rats, with no significant interaction between the two substances. It was only found that titanium dioxide nanoparticles (2 mg/kg) and glucose significantly increased the serum vitamin B12 concentration, compared with glucose (1.8 g/kg) exposure group. The difference was statistically significant (P<0.05). CONCLUSION Subchronic combined oral exposure of titanium dioxide nanoparticles and glucose had an obvious antagonistic effect on serum folate concentrations in young SD rats.
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Affiliation(s)
- Z J Chen
- Department of Occupational and Enviromental Health Sciences, Peking University School of Public Health, Beijing 100191, China
| | - S Han
- Department of Occupational and Enviromental Health Sciences, Peking University School of Public Health, Beijing 100191, China
| | - P Zheng
- Department of Occupational and Enviromental Health Sciences, Peking University School of Public Health, Beijing 100191, China
| | - S P Zhou
- Department of Laboratory Animal Science, Peking University Health Science Center, Beijing 100191, China
| | - G Jia
- Department of Occupational and Enviromental Health Sciences, Peking University School of Public Health, Beijing 100191, China
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Sun X, Wang F, Cui R, Liu X, Li X, Dong J, Sun L, Qin S, Wang R, Zheng P, Wang H. Studies on reproductive strategies of Vitex negundo L. var. heterophylla (Franch.) Rehder (Lamiaceae) based on morphological characteristics and SSR markers. Ecol Evol 2020; 10:5270-5280. [PMID: 32607150 PMCID: PMC7319155 DOI: 10.1002/ece3.6271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 03/19/2020] [Accepted: 03/24/2020] [Indexed: 11/15/2022] Open
Abstract
Vitex negundo L. var. heterophylla (Franch.) Rehder (Lamiaceae) is an important tree species for soil and water conservation, yet the reproductive ecology of this species remains to be elucidated. To investigate the reproductive traits of V. negundo var. heterophylla, the phenology, morphological characteristics (a suite of characters was assessed: floral morphology, nectar production, pollen viability, and stigma receptivity) and mating system of this species were systematically revealed for the first time in this study. Phenological observations, morphological measurements, and nectar production analysis were conducted during anthesis. Pollen viability and stigma receptivity at different flowering stages were measured by biochemical methods. Finally, genetic analysis based on SSR markers was used to reveal the mating system; outcrossing index and pollen-ovule ratio were also calculated to help analysis. V. negundo var. heterophylla showed several obvious characteristics of outcrossing, such as abundant and attractive flowers, secreting nectar, and emitting scent. In addition, mechanisms such as homogamy and a short anther-stigma distance that can promote self-fertilization were also identified in this species. The coexistence of selfing and outcrossing characteristics demonstrates a predominantly outcrossed mixed mating system (outcrossing rate, t = 95%). The scientific information provided by this study may contribute to conservation of V. negundo var. heterophylla from a reproductive perspective.
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Affiliation(s)
- Xiaohan Sun
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Feng Wang
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Rong Cui
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Xiao Liu
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Xiangxiang Li
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Jibin Dong
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Lu Sun
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Siqi Qin
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Renqing Wang
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Peiming Zheng
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
| | - Hui Wang
- Institute of Ecology and BiodiversitySchool of Life SciencesShandong UniversityQingdaoChina
- Shandong Provincial Engineering and Technology Research Center for Vegetation EcologyShandong UniversityQingdaoChina
- Qingdao Forest Ecology Research Station of National Forestry and Grassland AdministrationShandong UniversityQingdaoChina
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Zheng P, Zhang H, Gao H, Sun J, Li J, Zhang X, Gao L, Ma P, Li S. Plasma Exosomal Long Noncoding RNA lnc-SLC2A12-10:1 as a Novel Diagnostic Biomarker for Gastric Cancer. Onco Targets Ther 2020; 13:4009-4018. [PMID: 32494155 PMCID: PMC7227815 DOI: 10.2147/ott.s253600] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [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: 03/12/2020] [Accepted: 04/23/2020] [Indexed: 12/13/2022] Open
Abstract
Purpose Exosomes participate in cellular communications by transmitting active molecules, including long noncoding RNAs (lncRNAs) and are regarded as suitable candidates for disease diagnosis. This study aimed to identify gastric cancer (GC)-specific exosomal lncRNA and investigate the potential diagnostic value of plasma exosomal lncRNA in GC. Patients and Methods Exosomes from the culture media (CM) of four GC cells (GCCs) and human gastric epithelial cells were isolated. Exosomal RNA was extracted, and lncRNA microarray assay was performed to identify GC-specific exosomal lncRNAs. The expression levels of the candidate exosomal lncRNAs were validated in 120 subjects via quantitative reverse transcription PCR (qRT-PCR). The receiver operating characteristic (ROC) curve and area under curve were used to estimate the diagnostic capacity. We investigated the potential relationship between plasma exosomal lncRNA expression and the clinicopathological parameters of GC. Results A total of 199 exosomal lncRNAs were expressed at considerable higher levels in GCCs than those in normal controls, among which the top 10 upregulated lncRNAs were selected for further validation in cell, CM, and plasma. qRT-PCR revealed that lnc-SLC2A12-10:1 was remarkably upregulated in exosomes derived from patients with GC and GCCs. The area under the ROC curve was 0.776, which was higher than the diagnostic accuracies of CEA, CA 19-9, and CA72-4. The expression level of exosomal lnc-SLC2A12-10:1 was also significantly correlated with tumor size, TNM stage, lymph node metastasis, and degree of differentiation. The postoperative expression levels of exosomal lnc-SLC2A12-10:1 were lower compared with those of preoperative levels. Conclusion Our study suggested that exosomal lnc-SLC2A12-10:1 may be a potential noninvasive biomarker for the diagnosis and prognosis monitoring of GC. Further large-scale studies are necessary to validate its performance in GC progression.
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Affiliation(s)
- Peiming Zheng
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China
| | - Haoliang Zhang
- Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, People's Republic of China
| | - Huijie Gao
- Department of Oncology, The First Affiliated Hospital of Henan University, Kaifeng 450001, People's Republic of China
| | - Jingfang Sun
- Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, People's Republic of China
| | - Junmeng Li
- Department of Gastrointestinal Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China
| | - Xiulei Zhang
- Department of Microbiome Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China
| | - Lan Gao
- Department of Clinical Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, People's Republic of China
| | - Ping Ma
- Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, People's Republic of China.,Medical Technology School of Xuzhou Medical University, Xuzhou 221004, People's Republic of China
| | - Shibao Li
- Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, People's Republic of China.,Medical Technology School of Xuzhou Medical University, Xuzhou 221004, People's Republic of China
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Zheng P, Feng QY, Xu JM. [Current status and consideration of robotic surgery for colorectal cancer in China]. Zhonghua Wei Chang Wai Ke Za Zhi 2020; 23:336-340. [PMID: 32306599 DOI: 10.3760/cma.j.cn.441530-20200216-00056] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Since its inception, the surgical robot system with technical advantages has quickly become a new trend in surgery, and has been widely used at home and abroad. A large number of retrospective studies and a small number of randomized controlled studies have shown that compared with traditional laparoscopic surgery, robotic surgery presented some improvements, such as lower conversion rate, less urinary and sexual dysfunction, and less intraoperative blood loss, though more convincing evidence is needed. Robotic colorectal cancer surgery started late in China, but developed rapidly. Not only the number of surgeries has increased rapidly, but also many new surgeries have been innovated. Meanwhile, many problems emerged, such as lack of unified technical specifications, and excessive dependence on imported surgical robot equipment. Through high-quality clinical researches and big data analyses, the formulation of standardization, the establishment of training system, and the combination of medicine, research and production, robotic surgery will continue to lead the development trend of surgery in the new era.
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Affiliation(s)
- P Zheng
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Q Y Feng
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - J M Xu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Minimally Invasive Engineering Technology Research Center Colorectal Cancer, Shanghai 200032, China
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