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Ahmed M, Farris E, Swanson RV, Das S, Yang Y, Martin T, Khader SA. Saponin TQL1055 adjuvant-containing vaccine confers protection upon Mycobacterium tuberculosis challenge in mice. Hum Vaccin Immunother 2024; 20:2302070. [PMID: 38190806 PMCID: PMC10793695 DOI: 10.1080/21645515.2024.2302070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/02/2024] [Indexed: 01/10/2024] Open
Abstract
Tuberculosis (TB), caused by the intracellular pathogen Mycobacterium tuberculosis (Mtb), affects the lungs of infected individuals (pulmonary TB) but can also affect other sites (extrapulmonary TB). The only licensed vaccine Mycobacterium bovis bacillus Calmette-Guerin (BCG) protects infants and young children but exhibits variable efficacy in protecting against adult pulmonary TB. Poor compliance and prolonged treatment regimens associated with the use of chemotherapy has contributed to the development of multidrug-resistant (MDR) and extensively drug-resistant (XDR) Mtb. Thus, there is an urgent need for the design of more effective vaccines against TB. The development of safe and novel adjuvants for human use is critical. In this study, we demonstrate that saponin-based TQL1055 adjuvant when formulated with a TLR4 agonist (PHAD) and Mtb specific immunodominant antigens (ESAT-6 and Ag85B) and delivered intramuscularly in mice, the SA-TB vaccine induced potent lung immune responses. Additionally, the SA-TB vaccine conferred significant protection against Mtb infection, comparable with levels induced by BCG. These findings support the development of a SA-TB vaccine comprising TQL1055, as a novel, safe and effective TB vaccine for potential use in humans.
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Affiliation(s)
- Mushtaq Ahmed
- Department of Microbiology, University of Chicago, Chicago, IL, USA
- Department of Molecular Microbiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Eric Farris
- Adjuvance Technologies Inc, Lincoln, NE, USA
| | - Rosemary V. Swanson
- Department of Molecular Microbiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Shibali Das
- Department of Molecular Microbiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Yan Yang
- Department of Molecular Microbiology, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Shabaana A. Khader
- Department of Microbiology, University of Chicago, Chicago, IL, USA
- Department of Molecular Microbiology, Washington University in St. Louis, St. Louis, MO, USA
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Sha Y, Liu W, Hong J, Yang Y, Yu J, Fu X. A noninvasive method for the detection of foetal DNA in early pregnancy based on differential methylation pattern of Ras association domain family member 1A. J OBSTET GYNAECOL 2024; 44:2292611. [PMID: 38197583 DOI: 10.1080/01443615.2023.2292611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 12/04/2023] [Indexed: 01/11/2024]
Abstract
BACKGROUND The detection of foetal DNA and extravillus trophoblasts (EVTs) in early pregnancy in cervical and uterine samples offers a potential pathway for non-invasive prenatal diagnostics. However, the challenge lies in effectively quantifying these samples. This study introduces a novel approach using the Ras association domain family 1 A (RASSF1A), which exhibits hypermethylation in foetal cells and hypomethylation in maternal cells. The differential methylation pattern of RASSF1A provides a unique biomarker for quantifying foetal cells in cervical and intrauterine samples. METHODS This study was conducted between September 2022 and May 2023. In total, 23 samples (12 cervical cell samples and 11 intrauterine samples) were collected from women in the Sichuan Jinxin Women & Children Hospital, Jingxiu District, Chengdu, China. The cervical cell samples were collected via lavage and brush techniques, and the intrauterine cell samples were obtained via uterine lavage. These samples were collected as part of a broader effort to advance our understanding of foetal cell dynamics during early pregnancy. The sampling methods were chosen for their minimally invasive nature and their potential in capturing a representative cell population from the respective sites. After digestion of the cell samples using a methylation-sensitive restriction enzyme cocktail, a critical step to differentiate between maternal and foetal DNA, the quantitative polymerase chain reaction (qPCR) of RASSF1A and β-actin (ACTB) were employed to measure foetal DNA and cell concentrations. Immunofluorescence techniques targeting histocompatibility complex, class I G (HLA-G) and GATA binding protein 3 (GATA-3) were employed to detect EVTs in the cell samples and in decidual tissue, with the latter providing an additional layer of confirmation for the presence of foetal cells. RESULTS The results showed no hypermethylated RASSF1A was detected in any of the cervical samples, irrespective of whether the samples were obtained by brush or lavage. However, an average of 17,236 ± 7490 foetal cells per sample were detected in the uterine lavage samples. Foetal cells accounted for approximately 0.14% ± 0.10% of the total cell population in these samples. The presence of EVTs in these samples was confirmed by their expression of both HLA-G and GATA-3. CONCLUSION The detection of foetal cells in uterine cavity samples based on hypermethylation of RASSF1A and quantification of foetal cells can be used to prenatal screening. GATA-3 can be used to label EVTs.
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Affiliation(s)
- Yulin Sha
- Department of Obstetrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Jinxin Xinan Women & Children Hospital (Jingxiu District), Chengdu, Sichuan, China
| | - Wei Liu
- Department of Obstetrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Jinxin Xinan Women & Children Hospital (Jingxiu District), Chengdu, Sichuan, China
| | - Jiongzhi Hong
- Triplex International Biosciences (China) Co., LTD, Xiamen, Fujian, China
| | - Yan Yang
- Sichuan Jinxin Xinan Women & Children Hospital (Jingxiu District), Chengdu, Sichuan, China
| | - Jian Yu
- Sichuan Jinxin Xinan Women & Children Hospital (Jingxiu District), Chengdu, Sichuan, China
| | - Xiaodong Fu
- Department of Obstetrics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
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Wang L, Yang Y, Han W, Ding H. Novel design and development of Centella Asiatica extract - loaded poloxamer/ZnO nanocomposite wound closure material to improve anti-bacterial action and enhanced wound healing efficacy in diabetic foot ulcer. Regen Ther 2024; 27:92-103. [PMID: 38532843 PMCID: PMC10963185 DOI: 10.1016/j.reth.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 02/20/2024] [Accepted: 03/09/2024] [Indexed: 03/28/2024] Open
Abstract
Diabetic wounds can occur as a prevalent complication among people diagnosed with diabetes, frequently resulting in the necessity for amputation. The cause and effect of diabetic foot ulcer is complex, involving multiple factors. In the present study, wound healing strategies utilizing nanomaterials have proven to be effective in battling bacterial infections and improve wound regeneration. Poloxamers (PLX) exhibit extensive potential as a viable option for the development of nanomedicines owing to their inherent characteristics of self-assembly and encapsulation. This study aims to design and develop a PLX/ZnO nanocomposite incorporated with Centella Asiatica extract (CAE) for the multi-functional action in the diabetic wound healing treatment. Subsequently physico-chemical characterizations, such as XRD, FTIR, and TEM observations, demonstrated that the ZnO were evenly distributed through the PLX framework. The developed nanocomposite was biocompatible with mouse fibroblast cell line (L929), and it had multiple beneficial characteristics, such as a rapid self-healing process and effective antibacterial action against G+ and G- bacterial pathogens. After being treated with the developed formulation, skin fibroblast cell line and HUVECs demonstrated a substantial increase in their in vitro cell proliferation ability, migration, and tube-forming abilities. The utilization of a CAE@PLX/ZnO nanoformulation presents a viable strategy and a distinctive, encouraging composite for diabetic wound healing treatment.
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Affiliation(s)
- Lina Wang
- Department of Endocrinology, Qingdao Chengyang District People's Hospital, Qingdao, 266109, PR China
| | - Yan Yang
- Department of Dermatology, Qingdao Chengyang District People's Hospital, Qingdao, 266109, PR China
| | - Weiwei Han
- Department of Medical Laboratory, Qingdao Huangdao District Central Hospital, 266555, PR China
| | - Hui Ding
- Department of Medical Laboratory, Qingdao Huangdao District Central Hospital, 266555, PR China
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Zheng F, Jiang X, Wen Y, Yang Y, Li M. Systematic investigation of machine learning on limited data: A study on predicting protein-protein binding strength. Comput Struct Biotechnol J 2024; 23:460-472. [PMID: 38235359 PMCID: PMC10792694 DOI: 10.1016/j.csbj.2023.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/14/2023] [Accepted: 12/16/2023] [Indexed: 01/19/2024] Open
Abstract
The application of machine learning techniques in biological research, especially when dealing with limited data availability, poses significant challenges. In this study, we leveraged advancements in method development for predicting protein-protein binding strength to conduct a systematic investigation into the application of machine learning on limited data. The binding strength, quantitatively measured as binding affinity, is vital for understanding the processes of recognition, association, and dysfunction that occur within protein complexes. By incorporating transfer learning, integrating domain knowledge, and employing both deep learning and traditional machine learning algorithms, we mitigated the impact of data limitations and made significant advancements in predicting protein-protein binding affinity. In particular, we developed over 20 models, ultimately selecting three representative best-performing ones that belong to distinct categories. The first model is structure-based, consisting of a random forest regression and thirteen handcrafted features. The second model is sequence-based, employing an architecture that combines transferred embedding features with a multilayer perceptron. Finally, we created an ensemble model by averaging the predictions of the two aforementioned models. The comparison with other predictors on three independent datasets confirms the significant improvements achieved by our models in predicting protein-protein binding affinity. The programs for running these three models are available at https://github.com/minghuilab/BindPPI.
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Affiliation(s)
- Feifan Zheng
- MOE Key Laboratory of Geriatric Diseases and Immunology, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province 215123, China
| | - Xin Jiang
- MOE Key Laboratory of Geriatric Diseases and Immunology, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province 215123, China
| | - Yuhao Wen
- MOE Key Laboratory of Geriatric Diseases and Immunology, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province 215123, China
| | - Yan Yang
- MOE Key Laboratory of Geriatric Diseases and Immunology, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province 215123, China
| | - Minghui Li
- MOE Key Laboratory of Geriatric Diseases and Immunology, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province 215123, China
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Yang Y, Li X, Lin J, Bao R. A modified QuEChERS-based UPLC-MS/MS method for rapid determination of multiple antibiotics and sedative residues in freshwater fish. Food Chem X 2024; 22:101268. [PMID: 38495454 PMCID: PMC10943039 DOI: 10.1016/j.fochx.2024.101268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/19/2024] Open
Abstract
Antibiotics and sedatives are used in freshwater fish culture and transportation, and residue in freshwater fish pose potential risks to human health. Therefore, a throughput method was developed to detect antibiotic and sedative residues in fish, simultaneously quantifying 68 antibiotics and 9 sedatives in freshwater fish using a modified QuEChERS extraction method and UPLC-MS/MS. Matrix-matched calibrations demonstrated good correlation coefficients (R2 > 0.995), with a recovery range of 66.2-118.5%. The intra-day and inter-day relative standard deviation (RSD) were below 9.7% and 12.8%, respectively. The limits of detection (LOD) and quantification (LOQ) were 0.08-1.46 μg/kg and 0.25-4.86 μg/kg, respectively. 68.8% of analytes had weak matrix effects, and 13.0% had moderate matrix effects. In addition, diazepam and many types of antibiotics were detected in30 freshwater fish. The validation parameters were in agreement with the acceptable criteria of the Codex guidelines. The method was effective in analyzing antibiotic and sedative residues in freshwater fish.
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Affiliation(s)
- Yan Yang
- Department of Physical and Chemical Analysis, Fujian Provincial Key Laboratory of Zoonosis Research, Fujian Center for Disease Control and Prevention, Fuzhou, China
- Public Health School, Fujian Medical University, Fuzhou 350001, China
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xin Li
- Department of Physical and Chemical Analysis, Fujian Provincial Key Laboratory of Zoonosis Research, Fujian Center for Disease Control and Prevention, Fuzhou, China
| | - Jian Lin
- Department of Physical and Chemical Analysis, Fujian Provincial Key Laboratory of Zoonosis Research, Fujian Center for Disease Control and Prevention, Fuzhou, China
| | - Rong Bao
- Public Health School, Fujian Medical University, Fuzhou 350001, China
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Chen H, Cao Y, Qin W, Lin K, Yang Y, Liu C, Ji H. Machine learning models for predicting thermal desorption remediation of soils contaminated with polycyclic aromatic hydrocarbons. Sci Total Environ 2024; 927:172173. [PMID: 38575004 DOI: 10.1016/j.scitotenv.2024.172173] [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: 01/30/2024] [Revised: 03/17/2024] [Accepted: 04/01/2024] [Indexed: 04/06/2024]
Abstract
Among various remediation methods for organic-contaminated soil, thermal desorption stands out due to its broad treatment range and high efficiency. Nonetheless, analyzing the contribution of factors in complex soil remediation systems and deducing the results under multiple conditions are challenging, given the complexities arising from diverse soil properties, heating conditions, and contaminant types. Machine learning (ML) methods serve as a powerful analytical tool that can extract meaningful insights from datasets and reveal hidden relationships. Due to insufficient research on soil thermal desorption for remediation of organic sites using ML methods, this study took organic pollutants represented by polycyclic aromatic hydrocarbons (PAHs) as the research object and sorted out a comprehensive data set containing >700 data points on the thermal desorption of soil contaminated with PAHs from published literature. Several ML models, including artificial neural network (ANN), random forest (RF), and support vector regression (SVR), were applied. Model optimization and regression fitting centered on soil remediation efficiency, with feature importance analysis conducted on soil and contaminant properties and heating conditions. This approach enabled the quantitative evaluation and prediction of thermal desorption remediation effects on soil contaminated with PAHs. Results indicated that ML models, particularly the RF model (R2 = 0.90), exhibited high accuracy in predicting remediation efficiency. The hierarchical significance of the features within the RF model is elucidated as follows: heating conditions account for 52 %, contaminant properties for 28 %, and soil properties for 20 % of the model's predictive power. A comprehensive analysis suggests that practical applications should emphasize heating conditions for efficient soil remediation. This research provides a crucial reference for optimizing and implementing thermal desorption in the quest for more efficient and reliable soil remediation strategies.
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Affiliation(s)
- Haojia Chen
- School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, Guangxi University, Nanning 530004, China; School of Chemical Engineering and Light Industry, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China; Synergy Innovation Institute of Guangdong University of Technology, Shantou 515041, China
| | - Yudong Cao
- School of Chemical Engineering and Light Industry, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China; Synergy Innovation Institute of Guangdong University of Technology, Shantou 515041, China
| | - Wei Qin
- School of Chemical Engineering and Light Industry, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China; Synergy Innovation Institute of Guangdong University of Technology, Shantou 515041, China
| | - Kunsen Lin
- Engineering Research Center of Polymer Green Recycling of Ministry of Education, College of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, China.
| | - Yan Yang
- School of Chemical Engineering and Light Industry, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China; Synergy Innovation Institute of Guangdong University of Technology, Shantou 515041, China.
| | - Changqing Liu
- Engineering Research Center of Polymer Green Recycling of Ministry of Education, College of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, China
| | - Hongbing Ji
- School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, Guangxi University, Nanning 530004, China; School of Chemical Engineering and Light Industry, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China; Synergy Innovation Institute of Guangdong University of Technology, Shantou 515041, China
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Zhang J, Kong Y, Yang Y, Ma R, Li G, Wang J, Cui Z, Yuan J. Effects of thermophilic bacteria inoculation on maturity, gaseous emission and bacterial community succession in hyperthermophilic composting. Sci Total Environ 2024; 927:172304. [PMID: 38604357 DOI: 10.1016/j.scitotenv.2024.172304] [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: 02/18/2024] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/13/2024]
Abstract
Hyperthermophilic composting, characterized by temperatures equal to or exceeding 75 °C, offers superior compost maturity and performance. Inoculation with thermophilic bacteria presents a viable approach to achieving hyperthermophilic composting. This study investigates the effects of inoculating thermophilic bacteria, isolated at different temperatures (50 °C, 60 °C, and 70 °C) into compost on maturity, gaseous emissions, and microbial community dynamics during co-composting. Results indicate that the thermophilic bacteria inoculation treatments exhibited peak temperature on Day 3, with the maximum temperature of 75 °C reached two days earlier than the control treatment. Furthermore, these treatments demonstrated increased bacterial richness and diversity, along with elevated relative abundances of Firmicutes and Proteobacteria. They also fostered mutualistic correlations among microbial species, enhancing network connectivity and complexity, thereby facilitating lignocellulose degradation. Specifically, inoculation with thermophilic bacteria at 60 °C increased the relative abundance of Thermobifida and unclassified-f-Thermomonosporaceae (Actinobacteriota), whereas Bacillus, a thermophilic bacterium, was enriched in the 70 °C inoculation treatment. Consequently, the thermophilic bacteria at 60 °C and 70 °C enhanced maturity by 36 %-50 % and reduced NH3 emissions by 1.08 %-27.50 % through the proliferation of thermophilic heterotrophic ammonia-oxidizing bacteria (Corynebacterium). Moreover, all inoculation treatments decreased CH4 emissions by 6 %-27 % through the enrichment of methanotrophic bacteria (Methylococcaceae) and reduced H2S, Me2S, and Me2SS emissions by 1 %-25 %, 47 %-63 %, and 15 %-53 %, respectively. However, the inoculation treatments led to increased N2O emissions through enhanced denitrification, as evidenced by the enrichment of Truepera and Pusillimonas. Overall, thermophilic bacteria inoculation promoted bacteria associated with compost maturity while attenuating the relationship between core bacteria and gaseous emissions during composting.
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Affiliation(s)
- Jing Zhang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China
| | - Yilin Kong
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China
| | - Yan Yang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China
| | - Ruonan Ma
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China
| | - Guoxue Li
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China
| | - Jiani Wang
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China
| | - Zhongliang Cui
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China
| | - Jing Yuan
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China.
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Hu X, Zhou J, Yang Y, Chen Q, Zhang L. Assessing the collision risk of mixed lane-changing traffic in the urban inter-tunnel weaving section using extreme value theory. Accid Anal Prev 2024; 200:107558. [PMID: 38547575 DOI: 10.1016/j.aap.2024.107558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 03/15/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024]
Abstract
Urban inter-tunnel weaving (UIW) sections are characterized by short lengths and frequent lane-changing behaviors in the area, commonly used for fast through traffic. These features increase the likelihood of collisions, however, collision risk assessment in this area has been inadequate. The aim of this study was to evaluate the potential collision risk of urban inter-tunnel weaving (UIW) sections in mixed lane-changing traffic conditions in morning rush hours, utilizing surrogate safety measures. The investigation involved the collection of trajectory data via an unmanned aerial vehicle (UAV). Time to collision (TTC) and extended time to collision (ETTC) were chosen as surrogate safety indicators. The estimation of collision risk was conducted using Extreme Value Theory (EVT) by means ofsurrogate safety indicators. It was found that the threshold of TTC and ETTC in this area was 1.25 s. Furthermore, a comprehensive evaluation of collision risks associated with various vehicle types was performed, revealing an inverse relationship between thecollisions riskof vehicles in mixed traffic and their size. It was worth noting that while heavy vehicles exhibit a lower collision risk, they resulted in the highest energy loss and inflicted greater harm in the event of a collision. By an examination of the distribution features pertaining to conflict types during the operation of heavy vehicles, it showed that the highest likelihood of conflict with heavy vehicles occurred when adjacent lanes are involved. Consequently, the implementation of assisted driving technology for heavy vehicles was imperative in order to mitigate the risk associated with side collisions.
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Affiliation(s)
- Xiaojian Hu
- Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China; School of Transportation, Southeast University, Nanjing 211189, China.
| | - Jiayi Zhou
- Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China; School of Transportation, Southeast University, Nanjing 211189, China.
| | - Yan Yang
- Jiangsu Shidu Information Technology Co., Ltd, China
| | - Qian Chen
- Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China; School of Transportation, Southeast University, Nanjing 211189, China.
| | - Li Zhang
- Huashe Design Group Co. Intelligent City Institute, China
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Liu Y, Xu S, Deng Y, Luo J, Zhang K, Yang Y, Sha L, Hu R, Xu Z, Yin E, Xu Q, Wu Y, Cai X. SWCNTs/PEDOT:PSS nanocomposites-modified microelectrode arrays for revealing locking relations between burst and local field potential in cultured cortical networks. Biosens Bioelectron 2024; 253:116168. [PMID: 38452571 DOI: 10.1016/j.bios.2024.116168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/04/2024] [Accepted: 02/23/2024] [Indexed: 03/09/2024]
Abstract
Burst and local field potential (LFP) are fundamental components of brain activity, representing fast and slow rhythms, respectively. Understanding the intricate relationship between burst and LFP is crucial for deciphering the underlying mechanisms of brain dynamics. In this study, we fabricated high-performance microelectrode arrays (MEAs) using the SWCNTs/PEDOT:PSS nanocomposites, which exhibited favorable electrical properties (low impedance: 12.8 ± 2.44 kΩ) and minimal phase delay (-11.96 ± 1.64°). These MEAs enabled precise exploration of the burst-LFP interaction in cultured cortical networks. After a 14-day period of culture, we used the MEAs to monitor electrophysiological activities and revealed a time-locking relationship between burst and LFP, indicating the maturation of the neural network. To further investigate this relationship, we modulated burst firing patterns by treating the neural culture with increasing concentrations of glycine. The results indicated that glycine effectively altered burst firing patterns, with both duration and spike count increasing as the concentration rose. This was accompanied by an enhanced level of time-locking between burst and LFP but a decrease in synchrony among neurons. This study not only highlighted the pivotal role of SWCNTs/PEDOT:PSS-modified MEAs in elucidating the interaction between burst and LFP, bridging the gap between slow and fast brain rhythms in vitro but also provides valuable insights into the potential therapeutic strategies targeting neurological disorders associated with abnormal rhythm generation.
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Affiliation(s)
- Yaoyao Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100149, China
| | - Shihong Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100149, China
| | - Yu Deng
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Jinping Luo
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100149, China
| | - Kui Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100149, China
| | - Yan Yang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100149, China
| | - Longze Sha
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Ruilin Hu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100149, China
| | - Zhaojie Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100149, China
| | - Erwei Yin
- Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin, 300450, China
| | - Qi Xu
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
| | - Yirong Wu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100149, China.
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100149, China.
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Yang Y, Huang S, Liao Y, Wu X, Zhang C, Wang X, Yang Z. Hippuric acid alleviates dextran sulfate sodium-induced colitis via suppressing inflammatory activity and modulating gut microbiota. Biochem Biophys Res Commun 2024; 710:149879. [PMID: 38579536 DOI: 10.1016/j.bbrc.2024.149879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/31/2024] [Accepted: 04/02/2024] [Indexed: 04/07/2024]
Abstract
Inflammatory bowel disease (IBD) is a chronic inflammatory disease associated with metabolic disorder and gut dysbiosis. Decreased abundance of hippuric acid (HA) was found in patients with IBD. HA, metabolized directly from benzoic acid in the intestine and indirectly from polyphenols, serves as a marker of polyphenol catabolism. While polyphenols and benzoic acid have been shown to alleviate intestinal inflammation, the role of HA in this context remains unknown. Herein, we investigated the effects and mechanism of HA on DSS-induced colitis mice. The results revealed that HA alleviated clinical activity and intestinal barrier damage, decreased pro-inflammatory cytokine production. Metagenomic sequencing suggested that HA treatment restored the gut microbiota, including an increase in beneficial gut bacteria such as Adlercreutzia, Eubacterium, Schaedlerella and Bifidobacterium_pseudolongum. Furthermore, we identified 113 candidate genes associated with IBD that are potentially under HA regulation through network pharmacological analyses. 10 hub genes including ALB, IL-6, HSP90AA1, and others were identified using PPI analysis and validated using molecular docking and mRNA expression analysis. Additionally, KEGG analysis suggested that the renin-angiotensin system (RAS), NF-κB signaling and Rap1 signaling pathways were important pathways in the response of HA to colitis. Thus, HA may provide novel biotherapy options for IBD.
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Affiliation(s)
- Yan Yang
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China; Hunan Key Laboratory of Non-Resolving Inflammation and Cancer, Changsha, 410008, China
| | - Shiqin Huang
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China; Hunan Key Laboratory of Non-Resolving Inflammation and Cancer, Changsha, 410008, China
| | - Yangjie Liao
- Department of Gastroenterology, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, 415000, China
| | - Xing Wu
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China; Hunan Key Laboratory of Non-Resolving Inflammation and Cancer, Changsha, 410008, China
| | - Chao Zhang
- Department of Gastroenterology, Zhuzhou Central Hospital, Zhuzhou, 412001, China
| | - Xiaoyan Wang
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China; Hunan Key Laboratory of Non-Resolving Inflammation and Cancer, Changsha, 410008, China.
| | - Zhenyu Yang
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China; Hunan Key Laboratory of Non-Resolving Inflammation and Cancer, Changsha, 410008, China.
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11
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Li Y, Lai J, Ran M, Yi T, Zhou L, Luo J, Liu X, Tang X, Huang M, Xie X, Li H, Yang Y, Zou W, Wu J. Alnustone promotes megakaryocyte differentiation and platelet production via the interleukin-17A/interleukin-17A receptor/Src/RAC1/MEK/ERK signaling pathway. Eur J Pharmacol 2024; 971:176548. [PMID: 38570080 DOI: 10.1016/j.ejphar.2024.176548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/20/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVES Thrombocytopenia is a disease in which the number of platelets in the peripheral blood decreases. It can be caused by multiple genetic factors, and numerous challenges are associated with its treatment. In this study, the effects of alnustone on megakaryocytes and platelets were investigated, with the aim of developing a new therapeutic approach for thrombocytopenia. METHODS Random forest algorithm was used to establish a drug screening model, and alnustone was identified as a natural active compound that could promote megakaryocyte differentiation. The effect of alnustone on megakaryocyte activity was determined using cell counting kit-8. The effect of alnustone on megakaryocyte differentiation was determined using flow cytometry, Giemsa staining, and phalloidin staining. A mouse model of thrombocytopenia was established by exposing mice to X-rays at 4 Gy and was used to test the bioactivity of alnustone in vivo. The effect of alnustone on platelet production was determined using zebrafish. Network pharmacology was used to predict targets and signaling pathways. Western blotting and immunofluorescence staining determined the expression levels of proteins. RESULTS Alnustone promoted the differentiation and maturation of megakaryocytes in vitro and restored platelet production in thrombocytopenic mice and zebrafish. Network pharmacology and western blotting showed that alnustone promoted the expression of interleukin-17A and enhanced its interaction with its receptor, and thereby regulated downstream MEK/ERK signaling and promoted megakaryocyte differentiation. CONCLUSIONS Alnustone can promote megakaryocyte differentiation and platelet production via the interleukin-17A/interleukin-17A receptor/Src/RAC1/MEK/ERK signaling pathway and thus provides a new therapeutic strategy for the treatment of thrombocytopenia.
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Affiliation(s)
- Yueyue Li
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Jia Lai
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China; School of Pharmacy, Southwest Medical University, Luzhou, 646000, China.
| | - Mei Ran
- School of Pharmacy, Southwest Medical University, Luzhou, 646000, China.
| | - Taian Yi
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Ling Zhou
- School of Pharmacy, Southwest Medical University, Luzhou, 646000, China.
| | - Jiesi Luo
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China.
| | - Xiaoxi Liu
- School of Pharmacy, Southwest Medical University, Luzhou, 646000, China.
| | - Xiaoqin Tang
- School of Pharmacy, Southwest Medical University, Luzhou, 646000, China.
| | - Miao Huang
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Xiang Xie
- School of Basic Medical Sciences, Public Center of Experimental Technology, Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China.
| | - Hong Li
- School of Pharmacy, Southwest Medical University, Luzhou, 646000, China.
| | - Yan Yang
- Education Ministry Key Laboratory of Medical Electrophysiology, Sichuan Key Medical Laboratory of New Drug Discovery and Druggability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Southwest Medical University, Luzhou, 646000, China.
| | - Wenjun Zou
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Jianming Wu
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China; School of Pharmacy, Southwest Medical University, Luzhou, 646000, China; Education Ministry Key Laboratory of Medical Electrophysiology, Sichuan Key Medical Laboratory of New Drug Discovery and Druggability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Southwest Medical University, Luzhou, 646000, China.
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12
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Zhang Z, Ge M, Wu D, Li W, Chen W, Liu P, Zhang H, Yang Y. Resveratrol-loaded sulfated Hericium erinaceus β-glucan-chitosan nanoparticles: Preparation, characterization and synergistic anti-inflammatory effects. Carbohydr Polym 2024; 332:121916. [PMID: 38431417 DOI: 10.1016/j.carbpol.2024.121916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 01/25/2024] [Accepted: 02/04/2024] [Indexed: 03/05/2024]
Abstract
Resveratrol (RES) is a natural polyphenol with excellent biological activity. But the poor stability and bioavailability of RES severely limit its application. Thus, the resveratrol-loaded sulfated Hericium erinaceus β-glucan-chitosan nanoparticles (DS-CS-RES NPs) were prepared using electrostatic self-assembly to solve these problems in this study. The structure of DS-CS-RES NPs was spherical or sub spherical shape with small average particle size (191.07 nm), which was characterized by FT-IR, FS, XRD and TEM. DS-CS-RES NPs exhibited good stability and RES had a sustainable release from the nanoparticles in gastrointestinal digestion. Meanwhile, DS-CS-RES NPs could improve the inflammatory injury of LPS stimulated RAW264.7 macrophages by inhibiting the production of NO, IL-1β, IL-6 and TNF-α. Furthermore, DS-CS-RES NPs had strong anti-inflammatory activity by regulating protein levels of NF-κB p65, STAT1 and TLR4 through NF-κB and JAK-STAT1 signaling pathway in vitro, and sulfated H. erinaceus β-glucan-chitosan nanoparticle (DS-CS NPs) and RES had synergistic anti-inflammatory effect. Overall, DS-CS NPs can serve as a potential green and safe functional carrier for encapsulating resveratrol, which can improve its anti-inflammatory activity. This work may be conducive to the development of functional carrier for encapsulating RES and applications of hydrophobic active molecules in functional foods or medicines.
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Affiliation(s)
- Zhong Zhang
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, National Engineering Research Center of Edible Fungi, Shanghai 201403, China
| | - Meili Ge
- College of Food Science & Engineering, Shanghai Ocean University, Shanghai 201306, China
| | - Di Wu
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, National Engineering Research Center of Edible Fungi, Shanghai 201403, China
| | - Wen Li
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, National Engineering Research Center of Edible Fungi, Shanghai 201403, China
| | - Wanchao Chen
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, National Engineering Research Center of Edible Fungi, Shanghai 201403, China
| | - Peng Liu
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, National Engineering Research Center of Edible Fungi, Shanghai 201403, China
| | - Haiyun Zhang
- Eco-Environmental Protection Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Yan Yang
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, National Engineering Research Center of Edible Fungi, Shanghai 201403, China.
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13
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Zhu X, Yang Y, Feng D, Wang O, Chen J, Wang J, Wang B, Liu Y, Edenfield BH, Haddock AN, Wang Y, Patel T, Bi Y, Ji B. Albumin promoter-driven FlpO expression induces efficient genetic recombination in mouse liver. Am J Physiol Gastrointest Liver Physiol 2024; 326:G495-G503. [PMID: 38469630 DOI: 10.1152/ajpgi.00263.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 03/13/2024]
Abstract
Tissue-specific gene manipulations are widely used in genetically engineered mouse models. A single recombinase system, such as the one using Alb-Cre, has been commonly used for liver-specific genetic manipulations. However, most diseases are complex, involving multiple genetic changes and various cell types. A dual recombinase system is required for conditionally modifying different genes sequentially in the same cell or inducing genetic changes in different cell types within the same organism. A FlpO cDNA was inserted between the last exon and 3'-UTR of the mouse albumin gene in a bacterial artificial chromosome (BAC-Alb-FlpO). The founders were crossed with various reporter mice to examine the efficiency of recombination. Liver cancer tumorigenesis was investigated by crossing the FlpO mice with FSF-KrasG12D mice and p53frt mice (KPF mice). BAC-Alb-FlpO mice exhibited highly efficient recombination capability in both hepatocytes and intrahepatic cholangiocytes. No recombination was observed in the duodenum and pancreatic cells. BAC-Alb-FlpO-mediated liver-specific expression of mutant KrasG12D and conditional deletion of p53 gene caused the development of liver cancer. Remarkably, liver cancer in these KPF mice manifested a distinctive mixed hepatocellular carcinoma and cholangiocarcinoma phenotype. A highly efficient and liver-specific BAC-Alb-FlpO mouse model was developed. In combination with other Cre lines, different genes can be manipulated sequentially in the same cell, or distinct genetic changes can be induced in different cell types of the same organism.NEW & NOTEWORTHY A liver-specific Alb-FlpO mouse line was generated. By coupling it with other existing CreERT or Cre lines, the dual recombinase approach can enable sequential gene modifications within the same cell or across various cell types in an organism for liver research through temporal and spatial gene manipulations.
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Affiliation(s)
- Xiaohui Zhu
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Yan Yang
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Dongfeng Feng
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Oliver Wang
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Jiaxiang Chen
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Jiale Wang
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Bin Wang
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Yang Liu
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Brandy H Edenfield
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Ashley N Haddock
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
| | - Ying Wang
- Departments of Cardiovascular Diseases and Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota, United States
| | - Tushar Patel
- Department of Transplantation, Mayo Clinic, Jacksonville, Florida, United States
| | - Yan Bi
- Department of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, United States
| | - Baoan Ji
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, United States
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14
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Carteron A, Cantera I, Guerrieri A, Marta S, Bonin A, Ambrosini R, Anthelme F, Azzoni RS, Almond P, Alviz Gazitúa P, Cauvy-Fraunié S, Ceballos Lievano JL, Chand P, Chand Sharma M, Clague JJ, Cochachín Rapre JA, Compostella C, Cruz Encarnación R, Dangles O, Eger A, Erokhin S, Franzetti A, Gielly L, Gili F, Gobbi M, Hågvar S, Khedim N, Meneses RI, Peyre G, Pittino F, Rabatel A, Urseitova N, Yang Y, Zaginaev V, Zerboni A, Zimmer A, Taberlet P, Diolaiuti GA, Poulenard J, Thuiller W, Caccianiga M, Ficetola GF. Dynamics and drivers of mycorrhizal fungi after glacier retreat. New Phytol 2024; 242:1739-1752. [PMID: 38581206 DOI: 10.1111/nph.19682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/17/2023] [Indexed: 04/08/2024]
Abstract
The development of terrestrial ecosystems depends greatly on plant mutualists such as mycorrhizal fungi. The global retreat of glaciers exposes nutrient-poor substrates in extreme environments and provides a unique opportunity to study early successions of mycorrhizal fungi by assessing their dynamics and drivers. We combined environmental DNA metabarcoding and measurements of local conditions to assess the succession of mycorrhizal communities during soil development in 46 glacier forelands around the globe, testing whether dynamics and drivers differ between mycorrhizal types. Mycorrhizal fungi colonized deglaciated areas very quickly (< 10 yr), with arbuscular mycorrhizal fungi tending to become more diverse through time compared to ectomycorrhizal fungi. Both alpha- and beta-diversity of arbuscular mycorrhizal fungi were significantly related to time since glacier retreat and plant communities, while microclimate and primary productivity were more important for ectomycorrhizal fungi. The richness and composition of mycorrhizal communities were also significantly explained by soil chemistry, highlighting the importance of microhabitat for community dynamics. The acceleration of ice melt and the modifications of microclimate forecasted by climate change scenarios are expected to impact the diversity of mycorrhizal partners. These changes could alter the interactions underlying biotic colonization and belowground-aboveground linkages, with multifaceted impacts on soil development and associated ecological processes.
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Affiliation(s)
- Alexis Carteron
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Via Celoria 10, 20133, Milano, Italy
- Université de Toulouse, Ecole d'Ingénieurs de PURPAN, UMR INRAE-INPT DYNAFOR, Toulouse, 31076, France
| | - Isabel Cantera
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Via Celoria 10, 20133, Milano, Italy
| | - Alessia Guerrieri
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Via Celoria 10, 20133, Milano, Italy
- Argaly, Bâtiment CleanSpace, 354 Voie Magellan, 73800, Sainte-Hélène-du-Lac, France
| | - Silvio Marta
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Via Celoria 10, 20133, Milano, Italy
- Institute of Geosciences and Earth Resources, CNR, Via Moruzzi 1, 56124, Pisa, Italy
| | - Aurélie Bonin
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Via Celoria 10, 20133, Milano, Italy
- Argaly, Bâtiment CleanSpace, 354 Voie Magellan, 73800, Sainte-Hélène-du-Lac, France
| | - Roberto Ambrosini
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Via Celoria 10, 20133, Milano, Italy
| | - Fabien Anthelme
- AMAP, Univ Montpellier, IRD, CIRAD, CNRS, INRAE, Montpellier, 34398, France
| | - Roberto Sergio Azzoni
- Dipartimento di Scienze della Terra 'Ardito Desio', Università degli Studi di Milano, Via L. Mangiagalli 34, 20133, Milano, Italy
| | - Peter Almond
- Department of Soil and Physical Sciences, Lincoln University, Lincoln, 7647, New Zealand
| | - Pablo Alviz Gazitúa
- Departamento de Ciencias Biológicas y Biodiversidad, Universidad de Los Lagos, CW76+76, Osorno, Chile
| | | | | | - Pritam Chand
- Department of Geography, School of Environment and Earth Sciences, Central University of Punjab, VPO-Ghudda, Bathinda, 151401, Punjab, India
| | - Milap Chand Sharma
- Centre for the Study of Regional Development - School of Social Sciences, Jawaharlal Nehru University, New Mehrauli Road, 110067, New Delhi, India
| | - John J Clague
- Department of Earth Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada
| | | | - Chiara Compostella
- Dipartimento di Scienze della Terra 'Ardito Desio', Università degli Studi di Milano, Via L. Mangiagalli 34, 20133, Milano, Italy
| | | | - Olivier Dangles
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, 34090, Montpellier, France
| | - Andre Eger
- Mannaki Whenua - Landcare Research, Soils and Landscapes, 54 Gerald St., Lincoln, 7608, New Zealand
| | - Sergey Erokhin
- Institute of Water Problems and Hydro-Energy, Kyrgyz National Academy of Sciences, Frunze, 533, 720033, Bishkek, Kyrgyzstan
| | - Andrea Franzetti
- Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, 20126, Milano, Italy
| | - Ludovic Gielly
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, F-38000, Grenoble, France
| | - Fabrizio Gili
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Via Celoria 10, 20133, Milano, Italy
- Department of Life Sciences and Systems Biology, University of Turin, Via Accademia Albertina 13, 10123, Turin, Italy
| | - Mauro Gobbi
- Research and Museum Collections Office, Climate and Ecology Unit, MUSE-Science Museum, Corso del Lavoro e della Scienza, 3, 38122, Trento, Italy
| | - Sigmund Hågvar
- Faculty of Environmental Sciences and Natural Resource Management (INA), Norwegian University of Life Sciences, Universitetstunet 3, 1433, Ås, Norway
- UiT - The Arctic University of Norway, Tromsø Museum, Tromsø, 9006, Norway
| | - Norine Khedim
- Université Savoie Mont Blanc, Université Grenoble Alpes, EDYTEM, F-73000, Chambéry, France
| | - Rosa Isela Meneses
- Herbario Nacional de Bolivia: La Paz, FW6J+RP2, La Paz, Bolivia
- Universidad Católica del Norte, 8HCR+94, Antofagasta, Chile
| | - Gwendolyn Peyre
- Department of Civil and Environmental Engineering, University of the Andes, 111711, Bogotá, Colombia
| | - Francesca Pittino
- Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, 20126, Milano, Italy
- Swiss Federal Institute for Forest, Snow and Landscape Research, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Antoine Rabatel
- Université Grenoble Alpes, CNRS, IRD, INRAE, Grenoble-INP, Institut des Géosciences de l'Environnement (IGE, UMR 5001), F-38000, Grenoble, France
| | - Nurai Urseitova
- Institute of Water Problems and Hydro-Energy, Kyrgyz National Academy of Sciences, Frunze, 533, 720033, Bishkek, Kyrgyzstan
| | - Yan Yang
- Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Vitalii Zaginaev
- Mountain Societies Research Institute, University of Central Asia, Toktogula 125/1, 720001, Bishkek, Kyrgyzstan
| | - Andrea Zerboni
- Dipartimento di Scienze della Terra 'Ardito Desio', Università degli Studi di Milano, Via L. Mangiagalli 34, 20133, Milano, Italy
| | - Anaïs Zimmer
- Department of Geography and the Environment, University of Texas at Austin, Austin, TX, 78712, USA
| | - Pierre Taberlet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, F-38000, Grenoble, France
- UiT - The Arctic University of Norway, Tromsø Museum, Tromsø, 9006, Norway
| | - Guglielmina Adele Diolaiuti
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Via Celoria 10, 20133, Milano, Italy
| | - Jerome Poulenard
- Université Savoie Mont Blanc, Université Grenoble Alpes, EDYTEM, F-73000, Chambéry, France
| | - Wilfried Thuiller
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, F-38000, Grenoble, France
| | - Marco Caccianiga
- Dipartimento di Bioscienze, Universitá degli Studi di Milano, Via Celoria 26, 20133, Milano, Italy
| | - Gentile Francesco Ficetola
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Via Celoria 10, 20133, Milano, Italy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, F-38000, Grenoble, France
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15
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Zhang L, Sun Z, Yang Y, Mack A, Rodgers M, Aroor A, Jia G, Sowers JR, Hill MA. Endothelial cell serum and glucocorticoid regulated kinase 1 (SGK1) mediates vascular stiffening. Metabolism 2024; 154:155831. [PMID: 38431129 DOI: 10.1016/j.metabol.2024.155831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/22/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Excessive dietary salt intake increases vascular stiffness in humans, especially in salt-sensitive populations. While we recently suggested that the endothelial sodium channel (EnNaC) contributes to salt-sensitivity related endothelial cell (EC) and arterial stiffening, mechanistic understanding remains incomplete. This study therefore aimed to explore the role of EC-serum and glucocorticoid regulated kinase 1 (SGK1), as a reported regulator of sodium channels, in EC and arterial stiffening. METHODS AND RESULTS A mouse model of salt sensitivity-associated vascular stiffening was produced by subcutaneous implantation of slow-release deoxycorticosterone acetate (DOCA) pellets, with salt (1 % NaCl, 0.2 % KCl) administered via drinking water. Preliminary data showed that global SGK1 deletion caused significantly decreased blood pressure (BP), EnNaC activity and aortic endothelium stiffness as compared to control mice following DOCA-salt treatment. To probe EC signaling pathways, selective deletion of EC-SGK1 was performed by cross-breeding cadherin 5-Cre mice with sgk1flox/flox mice. DOCA-salt treated control mice had significantly increased BP, EC and aortic stiffness in vivo and ex vivo, which were attenuated by EC-SGK1 deficiency. To demonstrate relevance to humans, human aortic ECs were cultured in the absence or presence of aldosterone and high salt with or without the SGK1 inhibitor, EMD638683 (10uM or 25uM). Treatment with aldosterone and high salt increased intrinsic stiffness of ECs, which was prevented by SGK1 inhibition. Further, the SGK1 inhibitor prevented aldosterone and high salt induced actin polymerization, a key mechanism in cellular stiffening. CONCLUSION EC-SGK1 contributes to salt-sensitivity related EC and aortic stiffening by mechanisms appearing to involve regulation of actin polymerization.
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Affiliation(s)
- Liping Zhang
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA; Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, MO 65211, USA
| | - Zhe Sun
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA; Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, MO 65211, USA
| | - Yan Yang
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA
| | - Austin Mack
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA
| | - Mackenna Rodgers
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA
| | - Annayya Aroor
- Department of Medicine, School of Medicine, University of Missouri, Columbia, MO 65211, USA
| | - Guanghong Jia
- Department of Medicine, School of Medicine, University of Missouri, Columbia, MO 65211, USA
| | - James R Sowers
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA; Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, MO 65211, USA
| | - Michael A Hill
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA; Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, MO 65211, USA.
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16
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Zhang J, Wu HY, Shan XF, Cai ZG, Zhang L, Yang Y. Effects of personalized oral exercises on swallowing function among patients with oral cancer after free flap transplantation: a cluster randomized controlled trial. Int J Oral Maxillofac Surg 2024; 53:355-363. [PMID: 38143220 DOI: 10.1016/j.ijom.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 12/26/2023]
Abstract
Dysphagia is a common complication in patients with oral cancer who have undergone free flap transplantation. The aim of this cluster randomized controlled trial was to evaluate the effect of personalized oral exercises on swallowing function in this group of patients. Eligible patients were randomly assigned to the intervention (n = 34) or control (n = 34) group. Intervention group patients received personalized oral exercises starting on day 6 after surgery. Swallowing function was evaluated on days 6 and 15, and at 1 month postoperative using the Mann Assessment of Swallowing Ability-Oral Cancer tool (MASA-OC). On day 15 and at 1 month after surgery, the total MASA-OC score (P = 0.003, P < 0.001) and the mouth opening (P = 0.001, P < 0.001) and lip seal (both P < 0.001) item scores showed a significantly greater improvement in the intervention group than in the control group. Moreover, the changes in salivation (P < 0.001) and tongue movement (P = 0.025) scores at 1 month after surgery were significantly greater in the intervention group than in the control group. There was no significant difference between the groups in the change in tongue strength scores on day 15 or at 1 month postoperative (P = 0.476, P = 0.223). Personalized oral exercises can improve swallowing function in patients with oral cancer after free flap transplantation.
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Affiliation(s)
- J Zhang
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology and National Center of Stomatology, Beijing, China.
| | - H-Y Wu
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology and National Center of Stomatology, Beijing, China.
| | - X-F Shan
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology and National Center of Stomatology, Beijing, China.
| | - Z-G Cai
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology and National Center of Stomatology, Beijing, China.
| | - L Zhang
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology and National Center of Stomatology, Beijing, China.
| | - Y Yang
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology and National Center of Stomatology, Beijing, China.
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Song J, Sun X, Zhou Y, Li S, Wu J, Yang L, Zhou D, Yang Y, Liu A, Lu M, Michael R, Qin L, Yang D. Early application of IFNγ mediated the persistence of HBV in an HBV mouse model. Antiviral Res 2024; 225:105872. [PMID: 38556058 DOI: 10.1016/j.antiviral.2024.105872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/20/2024] [Accepted: 03/23/2024] [Indexed: 04/02/2024]
Abstract
The antiviral activity of interferon gamma (IFNγ) against hepatitis B virus (HBV) was demonstrated both in vivo and in vitro in a previous study. IFNγ can suppress HBV replication by accelerating the decay of replication-competent nucleocapsids of HBV. However, in this study, we found that the direct application of the mouse IFNγ (mIFNγ) expression plasmid to the liver of an HBV hydrodynamic injection (HI) mouse model led to the persistence of HBV, as indicated by sustained HBsAg and HBeAg levels in the serum as well as an increased percentage of the HBsAg positive mice, whereas the level of HBV DNA in the serum and the expression of HBcAg in the liver were inhibited at the early stage after HI. Meanwhile, we found that the productions of both HBcAb and HBsAb were suppressed after the application of mIFNγ. In addition, we found that HBV could be effectively inhibited in mice immunized with HBsAg expression plasmid before the application of mIFNγ. Furthermore, mIFNγ showed antiviral effect and promoted the production of HBsAb when the mice subjected to the core-null HBV plasmid. These results indicate that the application of mIFNγ in the HBV HI mouse model, the mice showed defective HBcAg-specific immunity that impeded the production of HBcAb and HBsAb, finally allowing the persistence of the virus. Moreover, IFNγ-induced negative immune regulatory factors also play an important role in virus persistence.
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Affiliation(s)
- Jingjiao Song
- Experimental Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
| | - Xiliang Sun
- Clinical Laboratory, Qingdao West Coast New District People's Hospital, Shandong, PR China.
| | - Yun Zhou
- Department of Infectious Diseases, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China; Key Laboratory of Receptors-mediated Gene Regulation and Drug Discovery, School of Medicine, Henan University, Kaifeng, PR China.
| | - Sheng Li
- Department of Infectious Diseases, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
| | - Jun Wu
- Department of Infectious Diseases, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
| | - Lu Yang
- Experimental Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
| | - Di Zhou
- Experimental Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
| | - Yan Yang
- Experimental Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
| | - Anding Liu
- Experimental Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
| | - Mengji Lu
- Institute of Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.
| | | | - Li Qin
- Department of Dermatology, Traditional Chinese and Western Medicine Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, PR China.
| | - Dongliang Yang
- Experimental Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China; Department of Infectious Diseases, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
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18
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Yang Y, Foong SY, He Y, Liew RK, Ma NL, Yek PNY, Ge S, Naushad M, Lam SS. Upcycling crab shell waste into biochar for treatment of palm oil mill effluent via microwave pyrolysis and activation. Environ Res 2024; 248:118282. [PMID: 38295974 DOI: 10.1016/j.envres.2024.118282] [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: 11/29/2023] [Revised: 01/09/2024] [Accepted: 01/19/2024] [Indexed: 02/07/2024]
Abstract
The escalating consumer demand for crabs results in a growing amount of waste, including shells, claws, and other non-edible parts. The resulting crab shell waste (CSW) is disposed of via incineration or landfills which causes environmental pollution. CSW represents a potential biological resource that can be transformed into valuable resources via pyrolysis technique. In this study, microwave pyrolysis of CSW using self-purging, vacuum, and steam activation techniques was examined to determine the biochar production yield and its performance in treating palm oil mill effluent (POME). The biochar produced through microwave pyrolysis exhibits yields ranging from 50 to 61 wt%, showing a hard texture, low volatile matter content (≤34.1 wt%), and high fixed carbon content (≥58.3 wt%). The KOH-activated biochar demonstrated a surface area of up to 177 m2/g that is predominantly composed of mesopores, providing a good amount of adsorption sites for use as adsorbent. The biochar activated with steam removed 8.3 mg/g of BOD and 42 mg/g of COD from POME. The results demonstrate that microwave pyrolysis of CSW is a promising technology to produce high-quality biochar as an adsorbent for POME treatment.
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Affiliation(s)
- Yan Yang
- Henan Province International Collaboration Lab of Forest Resources Utilization, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China; Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Terengganu, Kuala Nerus, Malaysia
| | - Shin Ying Foong
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Terengganu, Kuala Nerus, Malaysia
| | - Yifeng He
- Henan Province International Collaboration Lab of Forest Resources Utilization, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Rock Keey Liew
- NV WESTERN PLT, No. 208B, Second Floor, Macalister Road, Georgetown, 10400, Penang, Malaysia
| | - Nyuk Ling Ma
- BIOSES Research Interest Group, Faculty of Science & Marine Environment, 21030, Universiti Malaysia Terengganu, Malaysia; Center for Global Health Research (CGHR), Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India
| | - Peter Nai Yuh Yek
- Centre for Research of Innovation and Sustainable Development, University of Technology Sarawak, No.1, Jalan Universiti, 96000, Sibu, Sarawak, Malaysia.
| | - Shengbo Ge
- Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing, 210037, China
| | - Mu Naushad
- Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Su Shiung Lam
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Terengganu, Kuala Nerus, Malaysia; Department of Chemical Engineering and Materials Science, Yuan Ze University, Taoyuan, Taiwan.
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19
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Shi C, Chen XJ, Zhong XZ, Yang Y, Lin DQ, Chen R. Realization of digital twin for dynamic control toward sample variation of ion exchange chromatography in antibody separation. Biotechnol Bioeng 2024; 121:1702-1715. [PMID: 38230585 DOI: 10.1002/bit.28660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/26/2023] [Accepted: 01/05/2024] [Indexed: 01/18/2024]
Abstract
Digital twin (DT) is a virtual and digital representation of physical objects or processes. In this paper, this concept is applied to dynamic control of the collection window in the ion exchange chromatography (IEC) toward sample variations. A possible structure of a feedforward model-based control DT system was proposed. Initially, a precise IEC mechanistic model was established through experiments, model fitting, and validation. The average root mean square error (RMSE) of fitting and validation was 8.1% and 7.4%, respectively. Then a model-based gradient optimization was performed, resulting in a 70.0% yield with a remarkable 11.2% increase. Subsequently, the DT was established by systematically integrating the model, chromatography system, online high-performance liquid chromatography, and a server computer. The DT was validated under varying load conditions. The results demonstrated that the DT could offer an accurate control with acidic variants proportion and yield difference of less than 2% compared to the offline analysis. The embedding mechanistic model also showed a positive predictive performance with an average RMSE of 11.7% during the DT test under >10% sample variation. Practical scenario tests indicated that tightening the control target could further enhance the DT robustness, achieving over 98% success rate with an average yield of 72.7%. The results demonstrated that the constructed DT could accurately mimic real-world situations and perform an automated and flexible pooling in IEC. Additionally, a detailed methodology for applying DT was summarized.
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Affiliation(s)
- Ce Shi
- Process Development Downstream, Shanghai Engineering Research Center of Anti-tumor Biological Drugs, Shanghai Henlius Biotech, Inc., Shanghai, China
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Xu-Jun Chen
- Process Development Downstream, Shanghai Engineering Research Center of Anti-tumor Biological Drugs, Shanghai Henlius Biotech, Inc., Shanghai, China
| | - Xue-Zhao Zhong
- Process Development Downstream, Shanghai Engineering Research Center of Anti-tumor Biological Drugs, Shanghai Henlius Biotech, Inc., Shanghai, China
| | - Yan Yang
- Process Development Downstream, Shanghai Engineering Research Center of Anti-tumor Biological Drugs, Shanghai Henlius Biotech, Inc., Shanghai, China
| | - Dong-Qiang Lin
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Ran Chen
- Process Development Downstream, Shanghai Engineering Research Center of Anti-tumor Biological Drugs, Shanghai Henlius Biotech, Inc., Shanghai, China
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20
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Chen W, Li W, Wu D, Zhang Z, Li Z, Li L, Wu T, Yang Y. Exploring of multi-functional umami peptides from Stropharia rugosoannulata: Saltiness-enhancing effect and mechanism, antioxidant activity and potential target sites. Food Chem 2024; 439:138138. [PMID: 38134569 DOI: 10.1016/j.foodchem.2023.138138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 11/27/2023] [Accepted: 12/02/2023] [Indexed: 12/24/2023]
Abstract
Umami peptides enhance flavor and offer potential health benefits. We analyzed the taste-value profiles of five novel umami peptides from Stropharia rugosoannulata using E-tongue, exhibiting significant saltiness characteristics. While the peptides PHEMQ and SEPSHF exhibited higher saltiness, their mixture with salt did not enhance saltiness compared to individual peptides. Surprisingly, SGCVNEL, which was initially weak in saltiness, showed remarkably enhanced saltiness when mixed with salt, possibly due to have strong binding with receptors. Molecular docking elucidated the salt-forming mechanism of TMC4, highlighting the P2-domain and hydrogen bonds' role in the composite structure stability. Evaluation of the antioxidant activity evaluation demonstrated dose-dependent effects primarily through free radical scavenging via the single-electron transfer potential mechanism for SGCVNEL, EPLCNQ, and ESCAPQL. Docking experiments with antioxidant targets revealed varied binding stabilities, indicating diverse antioxidant effects of the peptides. These findings provide valuable insights into the exploration and application of versatile bioactive flavor peptides.
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Affiliation(s)
- Wanchao Chen
- Institute of Edible Fungi, Shanghai Academy of Agriculture Sciences, National Engineering Research Center of Edible Fungi, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, Shanghai 201403, PR China
| | - Wen Li
- Institute of Edible Fungi, Shanghai Academy of Agriculture Sciences, National Engineering Research Center of Edible Fungi, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, Shanghai 201403, PR China
| | - Di Wu
- Institute of Edible Fungi, Shanghai Academy of Agriculture Sciences, National Engineering Research Center of Edible Fungi, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, Shanghai 201403, PR China
| | - Zhong Zhang
- Institute of Edible Fungi, Shanghai Academy of Agriculture Sciences, National Engineering Research Center of Edible Fungi, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, Shanghai 201403, PR China
| | - Zhengpeng Li
- Institute of Edible Fungi, Shanghai Academy of Agriculture Sciences, National Engineering Research Center of Edible Fungi, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, Shanghai 201403, PR China
| | - Long Li
- Institute of Chemistry, Henan Academy of Sciences, Zhengzhou 450002, Henan, PR China
| | - Ting Wu
- Shanghai Key Laboratory of Functional Materials Chemistry, and Research Centre of Analysis and Test, School of Chemistry & Molecular Engineering, East China University of Science and Technology, Shanghai 200237, PR China
| | - Yan Yang
- Institute of Edible Fungi, Shanghai Academy of Agriculture Sciences, National Engineering Research Center of Edible Fungi, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, Shanghai 201403, PR China.
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21
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Gong Z, Xue L, Vlantis AC, van Hasselt CA, Chan JYK, Fang J, Wang R, Yang Y, Li D, Zeng X, Tong MCF, Chen GG. Brusatol attenuated proliferation and invasion induced by KRAS in differentiated thyroid cancer through inhibiting Nrf2. J Endocrinol Invest 2024; 47:1271-1280. [PMID: 38062319 DOI: 10.1007/s40618-023-02248-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/13/2023] [Indexed: 04/23/2024]
Abstract
BACKGROUND Poorly differentiated thyroid cancer (PDTC) and anaplastic thyroid cancer (ATC) can be developed from differentiated thyroid cancer, and this dedifferentiated transformation leads to poor prognosis and high mortality. The role of Nrf2 in the dedifferentiation of differentiated thyroid cancer (DTC) induced by KRAS remains unclear. METHODS AND MATERIALS In this study, two DTC cell lines, BCPAP and WRO, were used to evaluate the function of Nrf2 in the dedifferentiation caused by wild-type KRAS (KRAS-WT) and G12V point mutation KRAS (KRAS-G12V). RESULTS The overexpression of KRAS-WT and KRAS-G12V increased the proliferative and invasive ability of BCPAP and WRO cells. Aggressive morphology was observed in KRAS-WT and KRAS-G12V overexpressed WRO cells. These results suggested that overexpression of KRAS-WT or KRAS-G12V may induce dedifferentiation in DTC cells. The expression of Nrf2 was increased by KRAS-WT and KRAS-G12V in DTC cells. In addition, compared with normal thyroid tissues, the expression of Nrf2 protein was considerably higher in thyroid cancer tissues on immunohistochemistry (IHC) staining, and the increased expression of Nrf2 indicated a poor prognosis of thyroid cancer. These results indicated that Nrf2 is the KRAS downstream molecule in thyroid cancer. Functional studies showed that the Nrf2 inhibitor Brusatol counteracted the proliferative and invasive abilities induced by KRAS-WT and KRAS-G12V in BCPAP and WRO cells. In addition, the xenograft assay further confirmed that Brusatol inhibits tumor growth induced by KRAS-WT and KRAS-G12V. CONCLUSION Collectively, this study suggests that Nrf2 could be a promising therapeutic target in KRAS-mediated dedifferentiation of thyroid cancer.
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Affiliation(s)
- Z Gong
- Department of Otorhinolaryngology, Head and Neck Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Guangdong, China
| | - L Xue
- Department of Otorhinolaryngology, Head and Neck Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - A C Vlantis
- Department of Otorhinolaryngology, Head and Neck Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - C A van Hasselt
- Department of Otorhinolaryngology, Head and Neck Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - J Y K Chan
- Department of Otorhinolaryngology, Head and Neck Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - J Fang
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Otolaryngology Head and Neck Surgery (Ministry of Education of China), Beijing Institute of Otolaryngology, Beijing, China
| | - R Wang
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Otolaryngology Head and Neck Surgery (Ministry of Education of China), Beijing Institute of Otolaryngology, Beijing, China
| | - Y Yang
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Otolaryngology Head and Neck Surgery (Ministry of Education of China), Beijing Institute of Otolaryngology, Beijing, China
| | - D Li
- Shenzhen Key Laboratory of ENT, Institute of ENT and Longgang ENT Hospital, Shenzhen, Guangdong, China
| | - X Zeng
- Shenzhen Key Laboratory of ENT, Institute of ENT and Longgang ENT Hospital, Shenzhen, Guangdong, China
| | - M C F Tong
- Department of Otorhinolaryngology, Head and Neck Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Guangdong, China.
| | - G G Chen
- Department of Otorhinolaryngology, Head and Neck Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, Guangdong, China.
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22
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Wei S, Li Z, Xia H, Wang Z, Deng J, Li L, Huang R, Ye T, Huang Y, Yang Y. An endometrial biomimetic extracellular matrix (ECM) for enhanced endometrial regeneration using hyaluronic acid hydrogel containing recombinant human type III collagen. Int J Biol Macromol 2024; 268:131723. [PMID: 38649072 DOI: 10.1016/j.ijbiomac.2024.131723] [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: 02/28/2024] [Revised: 04/13/2024] [Accepted: 04/18/2024] [Indexed: 04/25/2024]
Abstract
Endometrial injury poses a significant challenge in tissue regeneration, with type III collagen (COL III) playing a pivotal role in maintaining endometrial integrity and facilitating repair. Our study explored the utility of recombinant human type III collagen (RHC) as an intervention for endometrial damage. To address the challenges associated with the inherent instability and rapid degradation of COL III in vivo, we developed an RHC-HA hydrogel by conjugating RHC with hyaluronic acid (HA), thus ensuring a more stable and sustained delivery. Our findings suggested that the RHC-HA hydrogel significantly promoted endometrial regeneration and restored fertility. The hydrogel facilitated prolonged retention of RHC in the uterus, leading to a substantial improvement in the repair process. The synergistic interaction between RHC and HA greatly enhances cell proliferation and adhesion, surpassing the efficacy of HA or RHC alone. Additionally, the RHC-HA hydrogel demonstrated notable anti-fibrotic effects, which are crucial for preventing abnormalities during endometrial healing. These findings suggested that the RHC-HA hydrogel presented a therapeutic strategy in the treatment of uterine endometrial injuries, which may improve female reproductive health.
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Affiliation(s)
- Siying Wei
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Ziyi Li
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Huan Xia
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Zhaoyang Wang
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Jingxian Deng
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Lu Li
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Rufei Huang
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Tao Ye
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Yadong Huang
- Department of Cell Biology, Jinan University, Guangzhou 510632, China; Guangdong Province Key Laboratory of Bioengineering Medicine, Guangzhou 510632, China; National Engineering Research Center of Genetic Medicine, Guangzhou 510632, China.
| | - Yan Yang
- Department of Cell Biology, Jinan University, Guangzhou 510632, China; Guangdong Province Key Laboratory of Bioengineering Medicine, Guangzhou 510632, China; National Engineering Research Center of Genetic Medicine, Guangzhou 510632, China.
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23
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Zhang YW, Pang X, Yang Y. Hydrogels containing KYNA promote angiogenesis and inhibit inflammation to improve the survival rate of multi-territory perforator flaps. Biomed Pharmacother 2024; 174:116454. [PMID: 38640710 DOI: 10.1016/j.biopha.2024.116454] [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: 11/07/2023] [Revised: 03/08/2024] [Accepted: 03/15/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND A new spray adhesive (KYNA-PF127) was established through the combination of thermosensitive hydrogel (Pluronic F127) and KYNA, aimed to investigate the effect of KYNA-PF127 on multi-territory perforator flaps and its possible molecular mechanism. MATERIALS AND METHODS 36 SD male rats with 250-300 g were randomly divided into 3 groups (n = 12): control group, blank glue group and KYNA-PF127 group. KYNA-PF127 hydrogel was prepared and characterized for its morphology and properties using scanning electron microscopy. CCK-8 assay, scratch wound assay, transwell assay, tube formation assay and Ki67 staining were used to study the effect of KYNA-PF127 on the proliferation, migration, and tube formation of HUVECs. VEGF and FGF2 were measured by qPCR to evaluate the angiogenesis capacity of HUVECs in vitro. In vivo, the effect of each group on the survival area of the cross-zone perforator flap was evaluated, and angiogenesis was evaluated by HE and immunofluorescence (CD31 and MMP-9). The effect of inflammation on skin collagen fibers was assessed by Masson. Immunohistochemistry (SOD1, IL-1β, TNF-α) was used to evaluate the effects of oxidative stress and inflammatory factors on multi-territory flaps. RESULTS KYNA-PF127 has good sustained release and biocompatibility at 25% concentration. KYNA-PF127 promoted the proliferation, migration, and angiogenesis of HUVECs in vitro. In vivo, the survival area of multi-territory perforator flaps and angiogenic capability have increased after KYNA-PF127 intervention. KYNA-PF127 could effectively reduce the oxidative stress and inflammation of multi-territory perforator flaps. CONCLUSION KYNA-PF127 promotes angiogenesis through its antioxidant stress and anti-inflammatory effects, and shows potential clinical value in promoting the survival viability and drug delivery of multi-territory perforator flaps.
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Affiliation(s)
- Ya-Wei Zhang
- Department of Geriatric Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Xiaoyang Pang
- Department of Orthopedics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, China
| | - Yan Yang
- Department of Orthopedics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, China.
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24
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Maes SL, Dietrich J, Midolo G, Schwieger S, Kummu M, Vandvik V, Aerts R, Althuizen IHJ, Biasi C, Björk RG, Böhner H, Carbognani M, Chiari G, Christiansen CT, Clemmensen KE, Cooper EJ, Cornelissen JHC, Elberling B, Faubert P, Fetcher N, Forte TGW, Gaudard J, Gavazov K, Guan Z, Guðmundsson J, Gya R, Hallin S, Hansen BB, Haugum SV, He JS, Hicks Pries C, Hovenden MJ, Jalava M, Jónsdóttir IS, Juhanson J, Jung JY, Kaarlejärvi E, Kwon MJ, Lamprecht RE, Le Moullec M, Lee H, Marushchak ME, Michelsen A, Munir TM, Myrsky EM, Nielsen CS, Nyberg M, Olofsson J, Óskarsson H, Parker TC, Pedersen EP, Petit Bon M, Petraglia A, Raundrup K, Ravn NMR, Rinnan R, Rodenhizer H, Ryde I, Schmidt NM, Schuur EAG, Sjögersten S, Stark S, Strack M, Tang J, Tolvanen A, Töpper JP, Väisänen MK, van Logtestijn RSP, Voigt C, Walz J, Weedon JT, Yang Y, Ylänne H, Björkman MP, Sarneel JM, Dorrepaal E. Environmental drivers of increased ecosystem respiration in a warming tundra. Nature 2024:10.1038/s41586-024-07274-7. [PMID: 38632407 DOI: 10.1038/s41586-024-07274-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/06/2024] [Indexed: 04/19/2024]
Abstract
Arctic and alpine tundra ecosystems are large reservoirs of organic carbon1,2. Climate warming may stimulate ecosystem respiration and release carbon into the atmosphere3,4. The magnitude and persistency of this stimulation and the environmental mechanisms that drive its variation remain uncertain5-7. This hampers the accuracy of global land carbon-climate feedback projections7,8. Here we synthesize 136 datasets from 56 open-top chamber in situ warming experiments located at 28 arctic and alpine tundra sites which have been running for less than 1 year up to 25 years. We show that a mean rise of 1.4 °C [confidence interval (CI) 0.9-2.0 °C] in air and 0.4 °C [CI 0.2-0.7 °C] in soil temperature results in an increase in growing season ecosystem respiration by 30% [CI 22-38%] (n = 136). Our findings indicate that the stimulation of ecosystem respiration was due to increases in both plant-related and microbial respiration (n = 9) and continued for at least 25 years (n = 136). The magnitude of the warming effects on respiration was driven by variation in warming-induced changes in local soil conditions, that is, changes in total nitrogen concentration and pH and by context-dependent spatial variation in these conditions, in particular total nitrogen concentration and the carbon:nitrogen ratio. Tundra sites with stronger nitrogen limitations and sites in which warming had stimulated plant and microbial nutrient turnover seemed particularly sensitive in their respiration response to warming. The results highlight the importance of local soil conditions and warming-induced changes therein for future climatic impacts on respiration.
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Affiliation(s)
- S L Maes
- Climate Impacts Research Centre, Department of Ecology and Environmental Science, Umeå University, Abisko, Sweden.
- Forest Ecology and Management Group (FORECOMAN), Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium.
| | - J Dietrich
- Climate Impacts Research Centre, Department of Ecology and Environmental Science, Umeå University, Abisko, Sweden
| | - G Midolo
- Department of Spatial Sciences, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czech Republic
| | - S Schwieger
- Climate Impacts Research Centre, Department of Ecology and Environmental Science, Umeå University, Abisko, Sweden
- Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden
| | - M Kummu
- Water and development research group, Aalto University, Espoo, Finland
| | - V Vandvik
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
| | - R Aerts
- Amsterdam Institute for Life and Environment (A-LIFE), Vrije Universiteit, Amsterdam, The Netherlands
| | - I H J Althuizen
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
- NORCE Climate and Environment, Norwegian Research Centre AS, Bergen, Norway
| | - C Biasi
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
- Department of Ecology, University of Innsbruck, Innsbruck, Austria
| | - R G Björk
- Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, Gothenburg, Sweden
| | - H Böhner
- Department of Arctic and Marine Biology, Faculty of Biosciences, Fisheries and Economics, The Arctic University of Norway, Tromsø, Norway
| | - M Carbognani
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - G Chiari
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - C T Christiansen
- Terrestrial Ecology Section, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Center for Permafrost, Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - K E Clemmensen
- Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - E J Cooper
- Department of Arctic and Marine Biology, UiT-the Arctic University of Norway, Tromsø, Norway
| | - J H C Cornelissen
- Amsterdam Institute for Life and Environment (A-LIFE), Vrije Universiteit, Amsterdam, The Netherlands
| | - B Elberling
- Center for Permafrost, Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - P Faubert
- Carbone Boréal, Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Chicoutimi, Quebec, Canada
| | - N Fetcher
- Institute for Environmental Science and Sustainability, Wilkes University, Wilkes-Barre, PA, USA
| | - T G W Forte
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - J Gaudard
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
| | - K Gavazov
- Climate Impacts Research Centre, Department of Ecology and Environmental Science, Umeå University, Abisko, Sweden
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Lausanne, Switzerland
| | - Z Guan
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems and College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - J Guðmundsson
- Agricultural University of Iceland, Reykjavik, Iceland
| | - R Gya
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway
| | - S Hallin
- Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - B B Hansen
- Department of Terrestrial Ecology, Norwegian Institute for Nature Research, Trondheim, Norway
- Gjærevoll Centre for Biodiversity Foresight Analyses & Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - S V Haugum
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- The Heathland Centre, Alver, Norway
| | - J-S He
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems and College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
- Institute of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - C Hicks Pries
- Department of Biological Sciences, Dartmouth College, Hanover, NH, USA
| | - M J Hovenden
- Biological Sciences, School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
- Australian Mountain Research Facility, Canberra, Australian Capital Territory, Australia
| | - M Jalava
- Water and development research group, Aalto University, Espoo, Finland
| | - I S Jónsdóttir
- Life and Environmental Sciences, University of Iceland, Reykjavík, Iceland
| | - J Juhanson
- Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - J Y Jung
- Division of Life Sciences, Korea Polar Research Institute, Incheon, South Korea
| | - E Kaarlejärvi
- Research Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - M J Kwon
- Korea Polar Research Institute, Incheon, Korea
- Institute of Soil Science, Universität Hamburg, Hamburg, Germany
| | - R E Lamprecht
- University of Eastern Finland, Department of Environmental and Biological Sciences, Kuopio, Finland
| | - M Le Moullec
- Gjærevoll Centre for Biodiversity Foresight Analyses & Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
- Greenland Institute of Natural Resources, Nuuk, Greenland
| | - H Lee
- NORCE, Norwegian Research Centre AS, Bjerknes Centre for Climate Research, Bergen, Norway
- Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - M E Marushchak
- University of Eastern Finland, Department of Environmental and Biological Sciences, Kuopio, Finland
| | - A Michelsen
- Terrestrial Ecology Section, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - T M Munir
- Department of Geography, University of Calgary, Calgary, Alberta, Canada
| | - E M Myrsky
- Arctic Centre, University of Lapland, Rovaniemi, Finland
- Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - C S Nielsen
- Center for Permafrost, Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- SEGES Innovation P/S, Aarhus, Denmark
| | - M Nyberg
- Biological Sciences, School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - J Olofsson
- Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden
| | - H Óskarsson
- Agricultural University of Iceland, Reykjavik, Iceland
| | - T C Parker
- Ecological Sciences, The James Hutton Institute, Aberdeen, UK
| | - E P Pedersen
- Climate Impacts Research Centre, Department of Ecology and Environmental Science, Umeå University, Abisko, Sweden
- Terrestrial Ecology Section, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - M Petit Bon
- Department of Wildland Resources, Quinney College of Natural Resources and Ecology Center, Utah State University, Logan, UT, USA
- Department of Arctic Biology, University Centre in Svalbard, Longyearbyen, Norway
| | - A Petraglia
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - K Raundrup
- Greenland Institute of Natural Resources, Nuuk, Greenland
| | - N M R Ravn
- Terrestrial Ecology Section, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - R Rinnan
- Center for Volatile Interactions, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - H Rodenhizer
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
| | - I Ryde
- Terrestrial Ecology Section, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Center for Permafrost, Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - N M Schmidt
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
- Arctic Research Centre, Aarhus University, Aarhus, Denmark
| | - E A G Schuur
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA
| | - S Sjögersten
- School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, UK
| | - S Stark
- Arctic Centre, University of Lapland, Rovaniemi, Finland
| | - M Strack
- Department of Geography and Environmental Management, University of Waterloo, Waterloo, Ontario, Canada
| | - J Tang
- The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA, USA
| | - A Tolvanen
- Natural Resources Institute Finland, Helsinki, Finland
| | - J P Töpper
- Norwegian Institute for Nature Research, Bergen, Norway
| | - M K Väisänen
- Arctic Centre, University of Lapland, Rovaniemi, Finland
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - R S P van Logtestijn
- Amsterdam Institute for Life and Environment (A-LIFE), Vrije Universiteit, Amsterdam, The Netherlands
| | - C Voigt
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
- Institute of Soil Science, Universität Hamburg, Hamburg, Germany
| | - J Walz
- Climate Impacts Research Centre, Department of Ecology and Environmental Science, Umeå University, Abisko, Sweden
| | - J T Weedon
- Amsterdam Institute for Life and Environment (A-LIFE), Vrije Universiteit, Amsterdam, The Netherlands
| | - Y Yang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - H Ylänne
- School of Forest Sciences, University of Eastern Finland, Joensuu, Finland
| | - M P Björkman
- Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, Gothenburg, Sweden
| | - J M Sarneel
- Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden
| | - E Dorrepaal
- Climate Impacts Research Centre, Department of Ecology and Environmental Science, Umeå University, Abisko, Sweden
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Lu Y, Liu TK, Lin C, Kim KH, Kim E, Yang Y, Fan X, Zhang K, Park JH. Nanoconfinement Enables Photoelectrochemical Selective Oxidation of Glycerol via the Microscale Fluid Effect. Nano Lett 2024; 24:4633-4640. [PMID: 38568864 DOI: 10.1021/acs.nanolett.4c00791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
The glycerol oxidation reaction (GOR) run with photoelectrochemical cells (PECs) is one of the most promising ways to upgrade biomass because it is thermodynamically favorable, while irreversible overoxidation leads to unsatisfactory product selectivities. Herein, a tunable one-dimensional nanoconfined environment was introduced into the GOR process, which accelerated mass transfer of glycerol via the microscale fluid effect and changed the main oxidation product from formic acid (FA) to glyceraldehyde (GLD), which led to retention of the heavier multicarbon products. The rate of glycerol diffusion in the nanochannels increased by a factor of 4.92 with decreasing inner diameters. The main product from the PEC-selective oxidation of glycerol changed from the C1 product FA to the C3 product GLD with a great selectivity of 60.7%. This work provides a favorable approach for inhibiting further oxidation of multicarbon products and illustrates the importance of microenvironmental regulation in biomass oxidation.
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Affiliation(s)
- Yuan Lu
- Department of Chemical and Biomolecular Engineering, Yonsei-KIST Convergence Research Institute, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea
| | - Tae-Kyung Liu
- Department of Chemical and Biomolecular Engineering, Yonsei-KIST Convergence Research Institute, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea
| | - Cheng Lin
- School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Kwang Hee Kim
- Department of Chemical and Biomolecular Engineering, Yonsei-KIST Convergence Research Institute, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea
| | - Eugene Kim
- Department of Chemical and Biomolecular Engineering, Yonsei-KIST Convergence Research Institute, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea
| | - Yan Yang
- School of Chemistry and Chemical Engineering and School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Xinyi Fan
- School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Kan Zhang
- School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Jong Hyeok Park
- Department of Chemical and Biomolecular Engineering, Yonsei-KIST Convergence Research Institute, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea
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26
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Sun Q, Liu L, Yang Y. [The mechanical ventilation guided by electrical impedance tomography in acute respiratory distress syndrome]. Zhonghua Yi Xue Za Zhi 2024; 104:1247-1252. [PMID: 38637164 DOI: 10.3760/cma.j.cn112137-20231007-00655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Acute respiratory distress syndrome (ARDS) is a common and critical clinical condition characterized by diffuse damage to the lung interstitium, alveoli, and increased permeability of pulmonary blood vessels. CT can be used to assess the imaging features, severity, and prediction of ARDS, but it requires patient transportation to the CT room and is only a static examination. Electrical impedance tomography (EIT) is an increasingly widely used monitoring tool in clinical applications in recent years. It enables continuous real-time assessment of lung ventilation distribution at the bedside and has high clinical value in optimizing mechanical ventilation parameters for critically ill patients. This article introduces the basic principles of EIT and how to better utilize EIT technology to guide mechanical ventilation treatment for ARDS patients.
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Affiliation(s)
- Q Sun
- Department of Critical Care Unit, Zhongda Hospital Affiliated to Southeast University, Key Laboratory of Critical Care Medicine of Jiangsu Province, Nanjing 210009, China
| | - L Liu
- Department of Critical Care Unit, Zhongda Hospital Affiliated to Southeast University, Key Laboratory of Critical Care Medicine of Jiangsu Province, Nanjing 210009, China
| | - Y Yang
- Department of Critical Care Unit, Zhongda Hospital Affiliated to Southeast University, Key Laboratory of Critical Care Medicine of Jiangsu Province, Nanjing 210009, China
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Yang Y, Bai HT. [Two cases of rituximab induced serum sickness in children with nephrotic syndrome]. Zhonghua Er Ke Za Zhi 2024; 62:473-475. [PMID: 38623017 DOI: 10.3760/cma.j.cn112140-20231019-00304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Affiliation(s)
- Y Yang
- Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Pediatric Key Laboratory of Xiamen, Institute of Pediatrics, School of Medicine, Xiamen University, Xiamen 361003, China
| | - H T Bai
- Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Pediatric Key Laboratory of Xiamen, Institute of Pediatrics, School of Medicine, Xiamen University, Xiamen 361003, China
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28
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Liu S, Wang R, Yang Y, Shi W, Jiang K, Jia L, Zhang F, Liu X, Ma L, Li C, Yu P. Changes in soil aggregate stability and aggregate-associated carbon under different slope positions in a karst region of Southwest China. Sci Total Environ 2024; 928:172534. [PMID: 38636852 DOI: 10.1016/j.scitotenv.2024.172534] [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: 02/13/2024] [Revised: 03/29/2024] [Accepted: 04/15/2024] [Indexed: 04/20/2024]
Abstract
Soil aggregates are crucial for reducing soil erosion and enhancing soil organic carbon sequestration. However, knowledge regarding influences of different slope positions on compositions and carbon content for different soil aggregates is limited. Soil samples were collected from various slope positions including dip slope, anti-dip slope and valley depression in the Longtan karst valley of Southwest China. Contents of macroaggregate (> 0.25 mm), microaggregate (0.053-0.25 mm) and silt and clay fraction (< 0.053 mm), and aggregate-associated carbon contents under the three slope positions were measured. Compared to the anti-dip slope, the mean weight diameter under the dip slope and valley depression decreased by 28.48 % and 58.79 %, respectively, while the geometric mean diameter decreased by 39.01 % and 62.57 %, respectively. The mean carbon content in silt and clay fraction was 27.59 % and 21.00 % lower than the macroaggregate- and microaggregate-associated carbon content, respectively. Under the valley depression and dip slope, soil organic carbon contents in bulk soil (37.67 % and 10.36 %, respectively), microaggregate (37.56 % and 4.95 %), and silt and clay fraction (39.99 % and 12.84 %, respectively) were significantly lower than those under the anti-dip slope. However, the difference in macroaggregate-associated carbon content among the three slope positions was not significant. The silt and clay fraction was the major contributor to soil carbon pool in bulk soil in the study area because of its high content. Compared to the anti-dip slope, contribution of macroaggregates to soil carbon pool under the dip slope and valley depression decreased by 25.53 % and 47.95 %, respectively, whereas the contribution of silt and clay fraction increased by 22.68 % and 42.66 %, respectively. These results suggested that the anti-dip slope surpassed both the dip slope and valley depression in carbon sequestration and soil and water conservation in karst regions.
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Affiliation(s)
- Shiwei Liu
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China
| | - Rutong Wang
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China
| | - Yan Yang
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing 400715, China
| | - Weiyu Shi
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing 400715, China
| | - Ke Jiang
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing 400715, China
| | - Luyao Jia
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China
| | - Feng Zhang
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China
| | - Xian Liu
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China
| | - Lei Ma
- Observation and Research Station of Ecological Restoration for Chongqing Typical Mining Areas, Ministry of Natural Resources, Chongqing Institute of Geology and Mineral Resources, Chongqing 401120, China
| | - Cheng Li
- Observation and Research Station of Ecological Restoration for Chongqing Typical Mining Areas, Ministry of Natural Resources, Chongqing Institute of Geology and Mineral Resources, Chongqing 401120, China
| | - Pujia Yu
- Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing 400715, China.
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29
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Wang Y, Yang Y, Xie L, An X, Zhang L. MiR-24-3p enhances the Treg/Th17 balance to improve cerebral ischemic injury by suppressing acetyl-CoA carboxylase 1 expression. J Neuroimmunol 2024; 390:578344. [PMID: 38640826 DOI: 10.1016/j.jneuroim.2024.578344] [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: 01/22/2024] [Revised: 03/25/2024] [Accepted: 04/09/2024] [Indexed: 04/21/2024]
Abstract
BACKGROUND Targeting ACC1 (acetyl coenzyme A carboxylase 1) to restore the balance between T-helper 17 (Th17) cells and regulatory T cells (Tregs) through metabolic reprogramming has emerged as a promising strategy for reducing neuroinflammation following stroke. We examined the roles of potential miRNAs in regulating ACC1 expression in Tregs and treating ischemic stroke. METHODS The expression of miR-24-3p in CD4+T cells of mice was confirmed. Then the protective effects of Ago-24-3p in a mouse model of prolonged occlusion of the distal middle cerebral artery (dMCAO) were examined. We analyzed the infiltration of Tregs and CD3+T cells into the brain and evaluated the improvement of neurological deficits induced by Ago-24-3p using the Modified Garcia Score and foot fault testing. RESULTS Our investigation revealed that miR-24-3p specifically targets ACC1. Elevated levels of miR-24-3p have been demonstrated to increase the population of Tregs and enhance their proliferation and suppressive capabilities. Conversely, targeted reduction of ACC1 in CD4+T cells has been shown to counteract the improved functionality of Tregs induced by miR-24-3p. In a murine model of dMCAO, administration of Ago-24-3p resulted in a substantial reduction in the size of the infarct within the ischemic brain area. This effect was accompanied by an upregulation of Tregs and a downregulation of CD3+T cells in the ischemic brain region. In ACC1 conditional knockout mice, the ability of Ago-24-3p to enhance infiltrating Treg cells and diminish CD3+T cells in the ischemic brain area has been negated. Furthermore, its capacity to reduce infarct volume has been reversed. Furthermore, we demonstrated that Ago-24-3p sustained improvement in post-stroke neurological deficits for up to 4 weeks after the MCAO procedure. CONCLUSIONS MiR-24-3p shows promise in the potential to reduce ACC1 expression, enhance the immunosuppressive activity of Tregs, and alleviate injuries caused by ischemic stroke. These discoveries imply that miR-24-3p could be a valuable therapeutic option for treating ischemic stroke.
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Affiliation(s)
- Yong Wang
- Department of Anesthesiology, The PLA Strategic Support Force Characteristic Medical Center, No.9 Anxiang Beili, Chaoyang District, Beijing 100101, China
| | - Yan Yang
- Department of Anesthesiology, Zibo Central Hospital, No.54 Gongqingtuanxi Road, Zhangdian District, Zibo 255020, China
| | - Lijun Xie
- Department of Anesthesiology, Zibo Central Hospital, No.54 Gongqingtuanxi Road, Zhangdian District, Zibo 255020, China
| | - Xiaona An
- Department of Anesthesiology, Zibo Central Hospital, No.54 Gongqingtuanxi Road, Zhangdian District, Zibo 255020, China
| | - Lu Zhang
- Department of Anesthesiology, Zibo Central Hospital, No.54 Gongqingtuanxi Road, Zhangdian District, Zibo 255020, China.
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30
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Sun W, Yang F, Wang Y, Yang Y, Du R, Wang XL, Luo ZX, Wu JJ, Chen J. Sortilin-Mediated Inhibition of TREK1/2 Channels in Primary Sensory Neurons Promotes Prediabetic Neuropathic Pain. Adv Sci (Weinh) 2024:e2310295. [PMID: 38626370 DOI: 10.1002/advs.202310295] [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: 12/29/2023] [Revised: 03/29/2024] [Indexed: 04/18/2024]
Abstract
Neuropathic pain can occur during the prediabetic stage, even in the absence of hyperglycemia. The presence of prediabetic neuropathic pain (PDNP) poses challenges to the management of individuals with prediabetes. However, the mechanisms underlying this pain remain unclear. This study aims to investigate the underlying mechanism and identify potential therapeutic targets of PDNP. A prediabetic animal model induced by a high-energy diet exhibits both mechanical allodynia and thermal hyperalgesia. Furthermore, hyperexcitability and decreased potassium currents are observed in the dorsal root ganglion (DRG) neurons of these rats. TREK1 and TREK2 channels, which belong to the two-pore-domain K+ channel (K2P) family and play an important role in controlling cellular excitability, are downregulated in DRG neurons. Moreover, this alteration is modulated by Sortilin, a molecular partner that modulates the expression of TREK1. The overexpression of Sortilin negatively affects the expression of TREK1 and TREK2, leading to increased neuronal excitability in the DRG and enhanced peripheral pain sensitivity in rats. Moreover, the downregulation of Sortilin or activation of TREK1 and TREK2 channels by genetic or pharmacological approaches can alleviate PDNP. Therefore, targeting the Sortilin-mediated TREK1/2 pathway may provide a therapeutic approach for ameliorating PDNP.
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Affiliation(s)
- Wei Sun
- Institute for Biomedical Sciences of Pain, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710038, P. R. China
| | - Fan Yang
- Institute for Biomedical Sciences of Pain, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710038, P. R. China
| | - Yan Wang
- Institute for Biomedical Sciences of Pain, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710038, P. R. China
| | - Yan Yang
- Institute for Biomedical Sciences of Pain, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710038, P. R. China
| | - Rui Du
- Institute for Biomedical Sciences of Pain, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710038, P. R. China
| | - Xiao-Liang Wang
- Institute for Biomedical Sciences of Pain, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710038, P. R. China
| | - Zhi-Xin Luo
- Institute for Biomedical Sciences of Pain, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710038, P. R. China
| | - Jun-Jie Wu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710032, P. R. China
| | - Jun Chen
- Institute for Biomedical Sciences of Pain, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi Province, 710038, P. R. China
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Xu Y, Chen G, Cui Z, Wang Y, Wang W, Blank I, Zhang Y, Xu C, Yang Y, Liu Y. Novel Umami Peptides from Mushroom ( Agaricus bisporus) and Their Umami Enhancing Effect via Virtual Screening and Molecular Simulation. J Agric Food Chem 2024. [PMID: 38608250 DOI: 10.1021/acs.jafc.3c04608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
This study aimed to identify novel umami peptides in Agaricus bisporus and investigate their umami enhancing effect. We virtually screened 155 potential umami peptides from the ultrasound-assisted A. bisporus hydrolysate according to Q values, iUmami-SCM, Umami_YYDS, and Tastepeptides_DM models, and molecular docking. Five peptides (AGKNTNGSQF, DEAVARGATF, REESDFQSSF, SEETTTGVHH, and WNNDAFQSSTN) were synthesized for sensory evaluation and kinetic analysis. The result showed that the umami thresholds of the five peptides were in the range of 0.21-0.40 mmol/L. Notably, REESDFQSSF, SEETTTGVHH, and WNNDAFQSSTN had low dissociation constant (KD) values and high affinity for the T1R1-VFT receptor. The enhancing effect of the three peptides with MSG or IMP was investigated by sensory evaluation, kinetic analysis, and molecular dynamics simulations. In stable complexes, ARG_277 in T1R1 played a major role in umami peptide binding to T1R1-VFT. These results provide a theoretical basis for future screening of umami peptides and improving the umami taste of food containing mushrooms.
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Affiliation(s)
- Yeling Xu
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, PR China
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Gaole Chen
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Zhiyong Cui
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Yueming Wang
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Wenli Wang
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Imre Blank
- Zhejiang Yiming Food Co., Ltd., Jiuting Center Huting North Street No.199, Shanghai 201600, China
| | - Yin Zhang
- Key Laboratory of Meat Processing of Sichuan, Chengdu University, Chengdu 610106, China
| | - Changhua Xu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Yan Yang
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Yuan Liu
- Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, PR China
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Zhong Y, Yang Y, Wang X, Ren B, Wang X, Shan G, Chen L. Systematic identification and characterization of exon-intron circRNAs. Genome Res 2024:gr.278590.123. [PMID: 38609186 DOI: 10.1101/gr.278590.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 03/07/2024] [Indexed: 04/14/2024]
Abstract
Exon-intron circRNAs (EIciRNAs) are a circRNA subclass with retained introns. Global features of EIciRNAs remain largely unexplored, mainly owing to the lack of bioinformatic tools. The regulation of intron retention (IR) in EIciRNAs and the associated functionality also require further investigation. We developed a framework, FEICP, which efficiently detected EIciRNAs from high-throughput sequencing (HTS) data. EIciRNAs are distinct from exonic circRNAs (EcircRNAs) in aspects such as with larger length, localization in the nucleus, high tissue specificity, and enrichment mostly in the brain. Deep learning analyses revealed that compared with regular introns, the retained introns of circRNAs (CIRs) are shorter in length, have weaker splice site strength, and have higher GC content. Compared with retained introns in linear RNAs (LIRs), CIRs are more likely to form secondary structures and show greater sequence conservation. CIRs are closer to the 5'-end, whereas LIRs are closer to the 3'-end of transcripts. EIciRNA-generating genes are more actively transcribed and associated with epigenetic marks of gene activation. Computational analyses and genome-wide CRISPR screening revealed that SRSF1 binds to CIRs and inhibits the biogenesis of most EIciRNAs. SRSF1 regulates the biogenesis of EIciLIMK1, which enhances the expression of LIMK1 in cis to boost neuronal differentiation, exemplifying EIciRNA physiological function. Overall, our study has developed the FEICP pipeline to identify EIciRNAs from HTS data, and reveals multiple features of CIRs and EIciRNAs. SRSF1 has been identified to regulate EIciRNA biogenesis. EIciRNAs and the regulation of EIciRNA biogenesis play critical roles in neuronal differentiation.
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Affiliation(s)
- Yinchun Zhong
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei 230027, China
| | - Yan Yang
- Hefei National Laboratory for Physical Sciences at Microscale, Department of Clinical Laboratory, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China, Hefei 230027, China
| | - Xiaolin Wang
- Hefei National Laboratory for Physical Sciences at Microscale, Department of Clinical Laboratory, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China, Hefei 230027, China
| | - Bingbing Ren
- Department of Pulmonary and Critical Care Medicine, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Xueren Wang
- Department of Anesthesiology, Shanxi Bethune Hospital, Taiyuan 030032, China;
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ge Shan
- Hefei National Laboratory for Physical Sciences at Microscale, Department of Clinical Laboratory, The First Affiliated Hospital of USTC, School of Basic Medical Sciences, Division of Life Science and Medicine, University of Science and Technology of China, Hefei 230027, China;
| | - Liang Chen
- Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei 230027, China
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Yang Z, Hu L, Zhen J, Gu Y, Liu Y, Huang S, Wei Y, Zheng H, Guo X, Chen GB, Yang Y, Xiong L, Wei F, Liu S. Genetic basis of pregnancy-associated decreased platelet counts and gestational thrombocytopenia. Blood 2024; 143:1528-1538. [PMID: 38064665 PMCID: PMC11033587 DOI: 10.1182/blood.2023021925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 12/01/2023] [Accepted: 12/01/2023] [Indexed: 02/29/2024] Open
Abstract
ABSTRACT Platelet count reduction occurs throughout pregnancy, with 5% to 12% of pregnant women being diagnosed with gestational thrombocytopenia (GT), characterized by a more marked decrease in platelet count during pregnancy. However, the underlying biological mechanism behind these phenomena remains unclear. Here, we used sequencing data from noninvasive prenatal testing of 100 186 Chinese pregnant individuals and conducted, to our knowledge, the hitherto largest-scale genome-wide association studies on platelet counts during 5 periods of pregnancy (the first, second, and third trimesters, delivery, and the postpartum period) as well as 2 GT statuses (GT platelet count < 150 × 109/L and severe GT platelet count < 100 × 109/L). Our analysis revealed 138 genome-wide significant loci, explaining 10.4% to 12.1% of the observed variation. Interestingly, we identified previously unknown changes in genetic effects on platelet counts during pregnancy for variants present in PEAR1 and CBL, with PEAR1 variants specifically associated with a faster decline in platelet counts. Furthermore, we found that variants present in PEAR1 and TUBB1 increased susceptibility to GT and severe GT. Our study provides insight into the genetic basis of platelet counts and GT in pregnancy, highlighting the critical role of PEAR1 in decreasing platelet counts during pregnancy and the occurrence of GT. Those with pregnancies carrying specific variants associated with declining platelet counts may experience a more pronounced decrease, thereby elevating the risk of GT. These findings lay the groundwork for further investigation into the biological mechanisms and causal implications of GT.
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Affiliation(s)
- Zijing Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
- The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong, China
| | - Liang Hu
- The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong, China
| | - Jianxin Zhen
- Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China
| | - Yuqin Gu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yanhong Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Shang Huang
- The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong, China
- Shenzhen Children's Hospital of China Medical University, Shenzhen, Guangdong, China
| | - Yuandan Wei
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
- Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China
| | - Hao Zheng
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Xinxin Guo
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Guo-Bo Chen
- Department of Genetic and Genomic Medicine, Center for Productive Medicine, Clinical Research Institute, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China
- Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Yan Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Likuan Xiong
- Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Birth Defects Research, Shenzhen, Guangdong, China
| | - Fengxiang Wei
- The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong, China
- Longgang Maternity and Child Institute of Shantou University Medical College, Shenzhen, Guangdong, China
| | - Siyang Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
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Zhang Y, Lin W, Yang Y, Zhu S, Chen Y, Wang H, Teng L. MEF2D facilitates liver metastasis of gastric cancer cells through directly inducing H1X under IL-13 stimulation. Cancer Lett 2024:216878. [PMID: 38609001 DOI: 10.1016/j.canlet.2024.216878] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 03/29/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
Liver metastasis is the most common occurrence in gastric cancer patients, although the precise mechanism behind it remains unclear. Through a combination of proteomics and quantitative RT-PCR, our study has revealed a significant correlation between the upregulation of myocyte enhancer factor-2D (MEF2D) and both distant metastasis and poor prognosis in gastric cancer patients. In mouse models, we observed that overexpressing or knocking down MEF2D in gastric cancer cells respectively promoted or inhibited liver metastasis. Furthermore, our research has demonstrated that MEF2D regulates the transcriptional activation of H1X by binding to the H1X promoter. This regulation leads to the upregulation of H1X, which, in turn, promotes the in vivo metastasis of gastric cancer cells along with the upregulation of the downstream gene β-CATENIN. Additionally, we found that the expression of MEF2D and H1X at both mRNA and protein levels can be induced by the inflammatory factor IL-13, and this induction exhibits a time gradient dependence. In human gastric cancer tissues, the expression of IL13RA1, the receptor for IL-13, positively correlates with the expression of MEF2D and H1X. IL13RA1 has been identified as an intermediate receptor through which IL-13 regulates MEF2D. In conclusion, our findings suggest that MEF2D plays a crucial role in promoting liver metastasis of gastric cancer by upregulating H1X and downstream target β-CATENIN in response to IL-13 stimulation. Targeting MEF2D could therefore be a promising therapeutic strategy for the clinical management of gastric cancer. STATEMENT OF SIGNIFICANCE: MEF2D promotes its transcriptional activation in gastric cancer cells by binding to the H1X promoter and is upregulated by IL-13-IL13RA1, thereby promoting distant metastasis of gastric cancer.
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Affiliation(s)
- Yingzi Zhang
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310020, China.
| | - Wu Lin
- Department of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China; The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310020, Zhejiang, China.
| | - Yan Yang
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310020, China.
| | - Songting Zhu
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310020, China.
| | - Yiran Chen
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310020, China.
| | - Haiyong Wang
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310020, China.
| | - Lisong Teng
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310020, China.
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Liu S, Wang L, Zhang Z, Leng Y, Yang Y, Fu X, Xie H, Gao H, Xie C. The potential of astragalus polysaccharide for treating diabetes and its action mechanism. Front Pharmacol 2024; 15:1339406. [PMID: 38659573 PMCID: PMC11039829 DOI: 10.3389/fphar.2024.1339406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 03/26/2024] [Indexed: 04/26/2024] Open
Abstract
Type 2 diabetes presents a significant global health burden and is frequently linked to serious clinical complications, including diabetic cardiomyopathy, nephropathy, and retinopathy. Astragalus polysaccharide (APS), extracted from Astragalus membranaceus, exhibits various biochemical and physiological effects. In recent years, a growing number of researchers have investigated the role of APS in glucose control and the treatment of diabetes and its complications in various diabetes models, positioning APS as a promising candidate for diabetes therapy. This review surveys the literature on APS from several databases over the past 20 years, detailing its mechanisms of action in preventing and treating diabetes mellitus. The findings indicate that APS can address diabetes by enhancing insulin resistance, modulating the immune system, protecting islet cells, and improving the intestinal microbiota. APS demonstrates positive pharmacological value and clinical potential in managing diabetic complications, including diabetic retinopathy, nephropathy, cardiomyopathy, cognitive dysfunction, wound healing, and more. However, further research is necessary to explore APS's bioavailability, optimal dosage, and additional clinical evidence.
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Affiliation(s)
- Shiyu Liu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Luyao Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Zehua Zhang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - YuLin Leng
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Yan Yang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Xiaoxu Fu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hongyan Xie
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hong Gao
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Chunguang Xie
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Rong D, Su Y, Jia D, Zeng Z, Yang Y, Wei D, Lu H, Cao Y. Experimentally validated oxidative stress -associated prognostic signatures describe the immune landscape and predict the drug response and prognosis of SKCM. Front Immunol 2024; 15:1387316. [PMID: 38660305 PMCID: PMC11039952 DOI: 10.3389/fimmu.2024.1387316] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 03/22/2024] [Indexed: 04/26/2024] Open
Abstract
Background Skin Cutaneous Melanoma (SKCM) incidence is continually increasing, with chemotherapy and immunotherapy being among the most common cancer treatment modalities. This study aims to identify novel biomarkers for chemotherapy and immunotherapy response in SKCM and explore their association with oxidative stress. Methods Utilizing TCGA-SKCM RNA-seq data, we employed Weighted Gene Co-expression Network Analysis (WGCNA) and Protein-Protein Interaction (PPI) networks to identify six core genes. Gene co-expression analysis and immune-related analysis were conducted, and specific markers associated with oxidative stress were identified using Gene Set Variation Analysis (GSVA). Single-cell analysis revealed the expression patterns of Oxidative Stress-Associated Genes (OSAG) in the tumor microenvironment. TIDE analysis was employed to explore the association between immune therapy response and OSAG, while CIBERSORT was used to analyze the tumor immune microenvironment. The BEST database demonstrated the impact of the Oxidative Stress signaling pathway on chemotherapy drug resistance. Immunohistochemical staining and ROC curve evaluation were performed to assess the protein expression levels of core genes in SKCM and normal samples, with survival analysis utilized to determine their diagnostic value. Results We identified six central genes associated with SKCM metastasis, among which the expression of DSC2 and DSC3 involved in the oxidative stress pathway was closely related to immune cell infiltration. DSC2 influenced drug resistance in SKMC patients. Furthermore, downregulation of DSC2 and DSC3 expression enhanced the response of SKCM patients to immunotherapy. Conclusion This study identified two Oxidative Stress-Associated genes as novel biomarkers for SKCM. Additionally, targeting the oxidative stress pathway may serve as a new strategy in clinical practice to enhance SKCM chemotherapy and sensitivity.
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Affiliation(s)
- Dongyun Rong
- Clinical Medical School, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yushen Su
- Clinical Medical School, Guizhou Medical University, Guiyang, Guizhou, China
| | - Dechao Jia
- Clinical Medical School, Guizhou Medical University, Guiyang, Guizhou, China
| | - Zhirui Zeng
- Department of anorectal surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
- School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yan Yang
- Department of Internal Medicine, The Third Affiliated Hospital of Guizhou Medical University, Duyun, Guizhou, China
| | - Dalong Wei
- Department of Burns, Plastic Surgery and Wound Repair, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Key Laboratory of Tumor Molecular Pathology of Baise, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Honguan Lu
- Clinical Medical School, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yu Cao
- Clinical Medical School, Guizhou Medical University, Guiyang, Guizhou, China
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Li J, Wang X, Jia W, Wang K, Wang W, Diao W, Ou F, Ma J, Yang Y. Association of the systemic immuno-inflammation index, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio with diabetic microvascular complications. Front Endocrinol (Lausanne) 2024; 15:1367376. [PMID: 38660516 PMCID: PMC11039910 DOI: 10.3389/fendo.2024.1367376] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 03/27/2024] [Indexed: 04/26/2024] Open
Abstract
Background The systemic immuno-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) are widely used and have been shown to be predictive indicators of various diseases. Diabetic nephropathy (DN), retinopathy (DR), and peripheral neuropathy (DPN) are the most prominent and common microvascular complications, which have seriously negative impacts on patients, families, and society. Exploring the associations with these three indicators and diabetic microvascular complications are the main purpose. Methods There were 1058 individuals with type 2 diabetes mellitus (T2DM) in this retrospective cross-sectional study. SII, NLR, and PLR were calculated. The diseases were diagnosed by endocrinologists. Logistic regression and subgroup analysis were applied to evaluate the association between SII, NLP, and PLR and diabetic microvascular complications. Results SII, NLR, and PLR were significantly associated with the risk of DN [odds ratios (ORs): 1.52, 1.71, and 1.60, respectively] and DR [ORs: 1.57, 1.79, and 1.55, respectively] by multivariate logistic regression. When NLR ≥2.66, the OR was significantly higher for the risk of DPN (OR: 1.985, 95% confidence interval: 1.29-3.05). Subgroup analysis showed no significant positive associations across different demographics and comorbidities, including sex, age, hypertension, HbA1c (glycated hemoglobin), and dyslipidemia. Conclusion This study found a positive relationship between NLR and DN, DR, and DPN. In contrast, SII and PLR were found to be only associated with DN and DR. Therefore, for the diagnosis of diabetic microvascular complications, SII, NLR and PLR are highly valuable.
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Affiliation(s)
- Jiahang Li
- Department of Pharmacy, The Second Affiliated Hospital of Air Force Medical University, Xi’an, China
| | - Xueying Wang
- Department of Traditional Chinese Medicine, The First Affiliated Hospital-of Air Force Medical University, Xi’an, China
| | - Wenjing Jia
- Department of Pharmacy, The Second Affiliated Hospital of Air Force Medical University, Xi’an, China
- Department of Pharmacy, The Hospital of Traditional Chinese Medicine in Changwu Country, Changwu, China
| | - Kai Wang
- Department of Pharmacy, The Second Affiliated Hospital of Air Force Medical University, Xi’an, China
- Department of Pharmacy, Sanya Rehabilitation and Recuperation Center, Joint Logistics Support Force, People's Liberation Army, Sanya, China
| | - Wenju Wang
- Department of Pharmacy, The Second Affiliated Hospital of Air Force Medical University, Xi’an, China
| | - Weibo Diao
- Department of Pharmacy, The Second Affiliated Hospital of Air Force Medical University, Xi’an, China
| | - Feiya Ou
- Department of Pharmacy, The Second Affiliated Hospital of Air Force Medical University, Xi’an, China
| | - Jing Ma
- Department of Traditional Chinese Medicine, The First Affiliated Hospital-of Air Force Medical University, Xi’an, China
| | - Yan Yang
- Department of Pharmacy, The Second Affiliated Hospital of Air Force Medical University, Xi’an, China
- Department of Traditional Chinese Medicine, The First Affiliated Hospital-of Air Force Medical University, Xi’an, China
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Hu M, Li Z, Liu Y, Feng Y, Wang Z, Huang R, Li L, Huang X, Shao Q, Lin W, Cheng X, Yang Y. Multifunctional Hydrogel of Recombinant Humanized Collagen Loaded with MSCs and MnO 2 Accelerates Chronic Diabetic Wound Healing. ACS Biomater Sci Eng 2024. [PMID: 38592024 DOI: 10.1021/acsbiomaterials.4c00019] [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] [Indexed: 04/10/2024]
Abstract
Chronic wound repair is a clinical treatment challenge. The development of multifunctional hydrogels is of great significance in the key aspects of treating chronic wounds, including reducing oxidative stress, promoting angiogenesis, and improving the natural remodeling of extracellular matrix and immune regulation. In this study, we prepared a composite hydrogel, sodium alginate (SA)@MnO2/recombinant humanized collagen III (RHC)/mesenchymal stem cells (MSCs), composed of SA, MnO2 nanoparticles, RHC, and MSCs. The hydrogel has high mechanical properties and good biocompatibility. In vitro, SA@MnO2/RHC/MSCs hydrogel effectively enhanced the formation of intricate tubular structures and angiogenesis and showed synergistic effects on cell proliferation and migration. In vivo, the SA@MnO2/RHC/MSCs hydrogel enhanced diabetes wound healing, rapid re-epithelization, favorable collagen deposition, and abundant wound angiogenesis. These findings demonstrated that the combined effects of SA, MnO2, RHC, and MSCs synergistically accelerate healing, resulting in a reduced healing time. These observed healing effects demonstrated the potential of this multifunctional hydrogel to transform chronic wound care and improve patient outcomes.
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Affiliation(s)
- Meirong Hu
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Ziyi Li
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Yuan Liu
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Yuqing Feng
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Zhaoyang Wang
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Rufei Huang
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Lu Li
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Xiaopeng Huang
- Department of Molecular, Cell, and Developmental Biology, University of California Los Angeles, Los Angeles, California 90024, United States
| | - Qi Shao
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Wanqing Lin
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Xianxing Cheng
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
| | - Yan Yang
- Department of Cell Biology, Jinan University, Guangzhou 510632, China
- Guangdong Province Key Laboratory of Bioengineering Medicine, Guangzhou 510632, China
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Yao L, Yang Y, Zhao XL, Wang QP, Wang HC. Indigoferajintongpenensis (Fabaceae, Papilionoideae, Indigofereae), a new species from Yunnan, southwest China. PhytoKeys 2024; 241:91-101. [PMID: 38638580 PMCID: PMC11024515 DOI: 10.3897/phytokeys.241.120230] [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: 02/04/2024] [Accepted: 03/27/2024] [Indexed: 04/20/2024]
Abstract
Indigoferajintongpenensis, a new species of the subfamily Papilionoideae of Fabaceae, is described and illustrated from Yunnan, southwest China. The new species is characterised by having a prostrate habit, flexible stems and branches, as well as spreading, sub-basifixed, asymmetrically 2-branched trichomes covering the entire plant, discoid calyx, and racemose inflorescences 6-8-flowered, short, 1-2 (-3.5) cm in length, apparently shorter than the leaf. A distribution map and comparison of morphological diagnostic characters with its morphologically similar species are provided. Additionally, a preliminary conservation assessment of I.jintongpenensis is proposed following IUCN criteria.
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Affiliation(s)
- Lan Yao
- School of Ecology and Environmental Science, Yunnan University, Kunming 650091, Yunnan, ChinaYunnan UniversityKunmingChina
| | - Yan Yang
- School of Ecology and Environmental Science, Yunnan University, Kunming 650091, Yunnan, ChinaYunnan UniversityKunmingChina
| | - Xue-Li Zhao
- College of Forestry, Southwest Forestry University, Kunming, 650224, Yunnan, ChinaSouthwest Forestry UniversityKunmingChina
| | - Qiu-Ping Wang
- School of Ecology and Environmental Science, Yunnan University, Kunming 650091, Yunnan, ChinaYunnan UniversityKunmingChina
| | - Huan-Chong Wang
- School of Ecology and Environmental Science, Yunnan University, Kunming 650091, Yunnan, ChinaYunnan UniversityKunmingChina
- Herbarium of Yunnan University, Kunming 650091, Yunnan, ChinaHerbarium of Yunnan UniversityKunmingChina
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Zhang C, Li B, Yang Y. Development and validation of a nomogram to predict overall survival in patients with redefined anaplastic thyroid carcinoma based on the SEER database. Int J Clin Oncol 2024:10.1007/s10147-024-02495-2. [PMID: 38584210 DOI: 10.1007/s10147-024-02495-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/20/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND According to the latest classification of thyroid tumors released by the WHO in 2022, primary squamous cell carcinoma of the thyroid (PSCCTh) is classified as anaplastic thyroid carcinoma (ATC). The objective of this study was to determine the differences in characteristics between ATC and PSCCTh and develop a nomogram to predict overall survival patients with the redefined anaplastic thyroid carcinoma (rATC). METHODS Patients diagnosed with ATC and PSCCTh between 2000 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database were enrolled and randomly divided into a training cohort and a validation cohort with a ratio of 7:3. Overall survival (OS) and cancer-specific survival (CSS) was estimated using the Kaplan-Meier method and compared using log-rank tests. The univariate and multivariate Cox proportional hazards regression analyses were used to determine independent prognostic factors of rATC patients. We then developed and validated nomograms to predict the 3-, 6- and 12-month OS of rATC and the results were evaluated by C-index and calibration curves. RESULTS After application of the inclusion and exclusion criteria, a total of 1338 ATC and 127 PSCCTh patients were included in the study. Further, OS and CSS of patients with PSCCTh were better than that of patients with ATC. Prognostic factors were not identical for the two cancers. Multivariate Cox model analysis indicated that age, tumor size, metastasis, surgery, radiotherapy, chemotherapy are independent prognostic factors for CSS in patients with ATC; while for patients with PSCCTh, the corresponding factors are age, and surgery. We selected six survival predictors (age, tumor size, metastasis, surgery, radiation, and, chemotherapy) for nomogram construction. The C-indexes in the training and validation cohort were 0.740 and 0.778, respectively, reflecting the good discrimination ability of the model. The calibration curves also showed good consistency in the probability of 3-, 6-, and 12-month OS between the actual observation and the nomogram prediction. CONCLUSION We constructed a nomogram to provide a convenient and reliable tool for predicting OS in rATC patients. Prognostic factors influencing CSS were not identical in patients with ATC and PSCCTh. These findings indicate that different clinical treatment and management plans are required for patients with these two types of thyroid cancer.
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Affiliation(s)
- Chuyue Zhang
- Department of General Surgery, the 920th Hospital of Joint Logistics Support Force, PLA, Kunming, Yunnan, People's Republic of China.
| | - Bin Li
- Department of General Surgery, the 920th Hospital of Joint Logistics Support Force, PLA, Kunming, Yunnan, People's Republic of China
| | - Yan Yang
- Department of General Surgery, the 920th Hospital of Joint Logistics Support Force, PLA, Kunming, Yunnan, People's Republic of China.
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Zhou Y, Zeng Y, Wang R, Pang J, Wang X, Pan Z, Jin Y, Chen Y, Yang Y, Ling W. Resveratrol Improves Hyperuricemia and Ameliorates Renal Injury by Modulating the Gut Microbiota. Nutrients 2024; 16:1086. [PMID: 38613119 PMCID: PMC11013445 DOI: 10.3390/nu16071086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 03/25/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024] Open
Abstract
Resveratrol (RES) has been reported to prevent hyperuricemia (HUA); however, its effect on intestinal uric acid metabolism remains unclear. This study evaluated the impact of RES on intestinal uric acid metabolism in mice with HUA induced by a high-fat diet (HFD). Moreover, we revealed the underlying mechanism through metagenomics, fecal microbiota transplantation (FMT), and 16S ribosomal RNA analysis. We demonstrated that RES reduced the serum uric acid, creatinine, urea nitrogen, and urinary protein levels, and improved the glomerular atrophy, unclear renal tubule structure, fibrosis, and renal inflammation. The results also showed that RES increased intestinal uric acid degradation. RES significantly changed the intestinal flora composition of HFD-fed mice by enriching the beneficial bacteria that degrade uric acid, reducing harmful bacteria that promote inflammation, and improving microbial function via the upregulation of purine metabolism. The FMT results further showed that the intestinal microbiota is essential for the effect of RES on HUA, and that Lactobacillus may play a key role in this process. The present study demonstrated that RES alleviates HFD-induced HUA and renal injury by regulating the gut microbiota composition and the metabolism of uric acid.
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Affiliation(s)
- Yuqing Zhou
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (Y.Z.); (Y.Z.); (J.P.); (X.W.); (Z.P.); (Y.J.); (Y.C.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
| | - Yupeng Zeng
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (Y.Z.); (Y.Z.); (J.P.); (X.W.); (Z.P.); (Y.J.); (Y.C.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
| | - Ruijie Wang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
- Department of Nutrition, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Juan Pang
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (Y.Z.); (Y.Z.); (J.P.); (X.W.); (Z.P.); (Y.J.); (Y.C.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
| | - Xin Wang
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (Y.Z.); (Y.Z.); (J.P.); (X.W.); (Z.P.); (Y.J.); (Y.C.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
| | - Zhijun Pan
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (Y.Z.); (Y.Z.); (J.P.); (X.W.); (Z.P.); (Y.J.); (Y.C.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
| | - Yufeng Jin
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (Y.Z.); (Y.Z.); (J.P.); (X.W.); (Z.P.); (Y.J.); (Y.C.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
| | - Yu Chen
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (Y.Z.); (Y.Z.); (J.P.); (X.W.); (Z.P.); (Y.J.); (Y.C.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
| | - Yan Yang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
- Department of Nutrition, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Wenhua Ling
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (Y.Z.); (Y.Z.); (J.P.); (X.W.); (Z.P.); (Y.J.); (Y.C.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China;
- Guangdong Engineering Technology Center of Nutrition Transformation, Guangzhou 510080, China
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Ge FL, Yang Y, Si LL, Li YH, Cao MZ, Wang J, Bai ZF, Ren ZG, Xiao XH, Liu Y. Inhibition of hepatitis B virus via selective apoptosis modulation by Chinese patent medicine Liuweiwuling Tablet. World J Gastroenterol 2024; 30:1911-1925. [PMID: 38659485 PMCID: PMC11036500 DOI: 10.3748/wjg.v30.i13.1911] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/07/2024] [Accepted: 02/25/2024] [Indexed: 04/03/2024] Open
Abstract
BACKGROUND Liuweiwuling Tablet (LWWL) is a Chinese patent medicine approved for the treatment of chronic inflammation caused by hepatitis B virus (HBV) infection. Previous studies have indicated an anti-HBV effect of LWWL, specifically in terms of antigen inhibition, but the underlying mechanism remains unclear. AIM To investigate the potential mechanism of action of LWWL against HBV. METHODS In vitro experiments utilized three HBV-replicating and three non-HBV-replicating cell lines. The in vivo experiment involved a hydrodynamic injection-mediated mouse model with HBV replication. Transcriptomics and metabolomics were used to investigate the underlying mechanisms of action of LWWL. RESULTS In HepG2.1403F cells, LWWL (0.8 mg/mL) exhibited inhibitory effects on HBV DNA, hepatitis B surface antigen and pregenomic RNA (pgRNA) at rates of 51.36%, 24.74% and 50.74%, respectively. The inhibition rates of LWWL (0.8 mg/mL) on pgRNA/covalently closed circular DNA in HepG2.1403F, HepG2.2.15 and HepG2.A64 cells were 47.78%, 39.51% and 46.74%, respectively. Integration of transcriptomics and metabolomics showed that the anti-HBV effect of LWWL was primarily linked to pathways related to apoptosis (PI3K-AKT, CASP8-CASP3 and P53 pathways). Apoptosis flow analysis revealed that the apoptosis rate in the LWWL-treated group was significantly higher than in the control group (CG) among HBV-replicating cell lines, including HepG2.2.15 (2.92% ± 1.01% vs 6.68% ± 2.04%, P < 0.05), HepG2.A64 (4.89% ± 1.28% vs 8.52% ± 0.50%, P < 0.05) and HepG2.1403F (3.76% ± 1.40% vs 7.57% ± 1.35%, P < 0.05) (CG vs LWWL-treated group). However, there were no significant differences in apoptosis rates between the non-HBV-replicating HepG2 cells (5.04% ± 0.74% vs 5.51% ± 1.57%, P > 0.05), L02 cells (5.49% ± 0.80% vs 5.48% ± 1.01%, P > 0.05) and LX2 cells (6.29% ± 1.54% vs 6.29% ± 0.88%, P > 0.05). TUNEL staining revealed a significantly higher apoptosis rate in the LWWL-treated group than in the CG in the HBV-replicating mouse model, while no noticeable difference in apoptosis rates between the two groups was observed in the non-HBV-replicating mouse model. CONCLUSION Preliminary results suggest that LWWL exerts a potent inhibitory effect on wild-type and drug-resistant HBV, potentially involving selective regulation of apoptosis. These findings offer novel insights into the anti-HBV activities of LWWL and present a novel mechanism for the development of anti-HBV medications.
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Affiliation(s)
- Fei-Lin Ge
- Department of Chinese Medicine, State Key Laboratory of Antiviral Drugs, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Yan Yang
- College of Traditional Chinese Medicine, Chongqing Medical University, Chongqing 400010, China
| | - Lan-Lan Si
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Yuan-Hua Li
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Meng-Zhen Cao
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Jun Wang
- Beijing Key Laboratory of Emerging Infectious Diseases, Peking University Ditan Teaching Hospital, Beijing 100015, China
| | - Zhao-Fang Bai
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Zhi-Gang Ren
- Department of Infectious Diseases, State Key Laboratory of Antiviral Drugs, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Xiao-He Xiao
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Yan Liu
- The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
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Luo GM, Yao ZS, Huang WX, Zou LY, Yang Y. Two-stage extraction by partial grinding of impacted mandibular third molar in close proximity to the inferior alveolar nerve. World J Clin Cases 2024; 12:1728-1732. [PMID: 38660071 PMCID: PMC11036467 DOI: 10.12998/wjcc.v12.i10.1728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/15/2023] [Accepted: 03/12/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Extraction of impacted third molars often leads to severe complications caused by damage to the inferior alveolar nerve (IAN). AIM To proposes a method for the partial grinding of an impacted mandibular third molar (IMM3) near the IAN to prevent IAN injury during IMM3 extraction. METHODS Between January 1996 and March 2022, 25 patients with IMM3 roots near the IAN were enrolled. The first stage of the operation consisted of grinding a major part of the IMM3 crown with a high-speed turbine dental drill to achieve sufficient space between the mandibular second molar and IMM3. After 6 months, when the root tips were observed to be away from the IAN on X-ray examination, the remaining part of the IMM3 was completely removed. RESULTS All IMM3s were extracted easily without symptoms of IAN injury after extraction. CONCLUSION Partial IMM3 grinding may be a good alternative treatment option to avoid IAN injury in high-risk cases.
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Affiliation(s)
- Guang-Ming Luo
- Kunbaida Outpatient Department, Kunming Medical University School and Hospital of Stomatology, Kunming 650106, Yunnan Province, China
- Yunnan Key Laboratory of Stomatology, Kunming 650106, Yunnan Province, China
| | - Zhang-Shun Yao
- Kunbaida Outpatient Department, Kunming Medical University School and Hospital of Stomatology, Kunming 650106, Yunnan Province, China
- Yunnan Key Laboratory of Stomatology, Kunming 650106, Yunnan Province, China
| | - Wei-Xiang Huang
- Kunbaida Outpatient Department, Kunming Medical University School and Hospital of Stomatology, Kunming 650106, Yunnan Province, China
- Yunnan Key Laboratory of Stomatology, Kunming 650106, Yunnan Province, China
| | - Lei-Yan Zou
- Kunbaida Outpatient Department, Kunming Medical University School and Hospital of Stomatology, Kunming 650106, Yunnan Province, China
- Yunnan Key Laboratory of Stomatology, Kunming 650106, Yunnan Province, China
| | - Yan Yang
- Kunbaida Outpatient Department, Kunming Medical University School and Hospital of Stomatology, Kunming 650106, Yunnan Province, China
- Yunnan Key Laboratory of Stomatology, Kunming 650106, Yunnan Province, China
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Yang Y, Xiao J, Qiu W, Jiang L. Cross-Talk Between Thyroid Disorders and Nonalcoholic Fatty Liver Disease: From Pathophysiology to Therapeutics. Horm Metab Res 2024. [PMID: 38408595 DOI: 10.1055/a-2276-7973] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
The medical community acknowledges the presence of thyroid disorders and nonalcoholic fatty liver disease (NAFLD). Nevertheless, the interconnection between these two circumstances is complex. Thyroid hormones (THs), including triiodothyronine (T3) and thyroxine (T4), and thyroid-stimulating hormone (TSH), are essential for maintaining metabolic balance and controlling the metabolism of lipids and carbohydrates. The therapeutic potential of THs, especially those that target the TRβ receptor isoform, is generating increasing interest. The review explores the pathophysiology of these disorders, specifically examining the impact of THs on the metabolism of lipids in the liver. The purpose of this review is to offer a thorough analysis of the correlation between thyroid disorders and NAFLD, as well as suggest potential therapeutic approaches for the future.
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Affiliation(s)
- Yan Yang
- Department of Endocrinology and Metabolism, Lanzhou University Second Hospital, Lanzhou, China
| | - Jiyuan Xiao
- Department of Pharmacology, Lanzhou University Second Hospital, Lanzhou, China
| | - Wen Qiu
- Department of Pharmacology, Lanzhou University Second Hospital, Lanzhou, China
| | - Luxia Jiang
- Department of Cardiac Surgery ICU, Lanzhou University Second Hospital, Lanzhou, China
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Zhao Q, Chen M, Fu L, Yang Y, Zhan Y. Assessing and projecting the global burden of thyroid cancer, 1990-2030: Analysis of the Global Burden of Disease Study. J Glob Health 2024; 14:04090. [PMID: 38577809 PMCID: PMC10995745 DOI: 10.7189/jogh.14.04090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024] Open
Abstract
Background This study aims to assess the global incidence, mortality, and disability-adjusted life years (DALYs) of thyroid cancer between 1990 and 2030. Methods Our study analysed Global Burden of Disease (GBD) 2019 data from 204 countries, spanning 1990-2019. It focused on age-standardised thyroid cancer incidence, mortality, and disability-adjusted life years (DALYs), using the sociodemographic index (SDI) for assessing socioeconomic levels. Generalised additive models (GAMs) projected thyroid cancer trends for 2020-2030. Results The global burden of thyroid cancer is predicted to increase significantly from 1990 to 2030. The number of thyroid cancer incidence cases is projected to rise from 233 846.64 in 2019 to 305 078.08 by 2030, representing an approximate 30.46% increase. The ASIR (age-standardised incidence rate) is expected to continue its upward trend (estimated annual percentage change (EAPC) = 0.83). The age-standardised death rate (ASDR) for thyroid cancer is projected to decline in both genders, more notably in women (EAPC = -0.34) compared to men (EAPC = -0.17). The burden of disease escalates with advancing age, with significant regional disparities. Regions with lower SDI, particularly in South Asia, are anticipated to witness substantial increases in thyroid cancer incidence from 2020 to 2030. The overall disease burden is expected to rise, especially in countries with low to middle SDI, reflecting broader socio-economic and health care shifts. Conclusions This study highlights significant regional and gender-specific variations in thyroid cancer, with notable increases in incidence rates, particularly in areas like South Asia. These trends suggest improvements in diagnostic capabilities and the influence of socio-economic factors. Additionally, the observed decline in mortality rates across various regions reflects advancements in thyroid cancer management. The findings underline the critical importance of regionally tailored prevention strategies, robust cancer registries, and public health initiatives to address the evolving landscape of thyroid cancer and mitigate health disparities globally.
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Affiliation(s)
- Qizheng Zhao
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Manting Chen
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Leiwen Fu
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Yan Yang
- Department of Nutrition, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
| | - Yiqiang Zhan
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China
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Chen Q, Qu L, Hou H, Huang J, Li C, Zhu Y, Wang Y, Chen X, Zhou Q, Yang Y, Yang C. Long lifetimes white afterglow in slightly crosslinked polymer systems. Nat Commun 2024; 15:2947. [PMID: 38580680 PMCID: PMC10997626 DOI: 10.1038/s41467-024-47378-2] [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: 09/12/2023] [Accepted: 03/28/2024] [Indexed: 04/07/2024] Open
Abstract
Intrinsic polymer room-temperature phosphorescence (IPRTP) materials have attracted considerable attention for application in flexible electronics, information encryption, lighting displays, and other fields due to their excellent processabilities and luminescence properties. However, achieving multicolor long-lived luminescence, particularly white afterglow, in undoped polymers is challenging. Herein, we propose a strategy of covalently coupling different conjugated chromophores with poly(acrylic acid (AA)-AA-N-succinimide ester) (PAA-NHS) by a simple and rapid one-pot reaction to obtain pure polymers with long-lived RTPs of various colors. Among these polymers, the highest phosphorescence quantum yield of PAPHE reaches 14.7%. Furthermore, the afterglow colors of polymers can be modulated from blue to red by introducing three chromophores into them. Importantly, the acquired polymer TPAP-514 exhibits a white afterglow at room temperature with the chromaticity coordinates (0.33, 0.33) when the ratio of chromophores reaches a suitable value owing to the three-primary-color mechanism. Systematic studies prove that the emission comes from the superposition of different triplet excited states of the three components. Moreover, the potential applications of the obtained polymers in light-emitting diodes and dynamic anti-counterfeiting are explored. The proposed strategy provides a new idea for constructing intrinsic polymers with diverse white-light emission RTPs.
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Affiliation(s)
- Qingao Chen
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Lunjun Qu
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Hui Hou
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Jiayue Huang
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Chen Li
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Ying Zhu
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Yongkang Wang
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Xiaohong Chen
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Qian Zhou
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Yan Yang
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China
| | - Chaolong Yang
- School of Materials Science and Engineering, Chongqing University of Technology, Chongqing, 400054, China.
- Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, South China University of Technology, Guangzhou, 510640, China.
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Ablikim M, Achasov MN, Adlarson P, Aliberti R, Amoroso A, An MR, An Q, Bai Y, Bakina O, Balossino I, Ban Y, Batozskaya V, Begzsuren K, Berger N, Berlowski M, Bertani M, Bettoni D, Bianchi F, Bianco E, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang TT, Chang WL, Che GR, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen YQ, Chen ZJ, Cheng WS, Choi SK, Chu X, Cibinetto G, Coen SC, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding B, Ding XX, Ding Y, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Duan ZH, Egorov P, Fan YL, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Fu JL, Fu YW, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Gramigna S, Greco M, Gu MH, Gu YT, Guan CY, Guan ZL, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Hou XT, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Holtmann T, Hong PC, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang PC, Jiang SS, Jiang TJ, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kui X, Kabana S, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Khoukaz A, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuessner MK, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei TT, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li HB, Li HJ, Li HN, Li H, Li JR, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li YG, Li ZJ, Li ZX, Li ZY, Liang C, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin DX, Lin T, Liu BJ, Liu BX, Liu C, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LC, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma JL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pei YP, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Salone N, Sarantsev A, Schelhaas Y, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen WH, Shen XY, Shi BA, Shi HC, Shi JL, Shi JY, Shi QQ, Shi RS, Shi X, Song JJ, Song TZ, Song WM, Song YJ, Song YX, Sosio S, Spataro S, Stieler F, Su YJ, Sun GB, Sun GX, Sun H, Sun HK, Sun JF, Sun K, Sun L, Sun SS, Sun T, Sun WY, Sun Y, Sun YJ, Sun YZ, Sun ZT, Tan YX, Tang CJ, Tang GY, Tang J, Tang YA, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian WH, Tian Y, Tian ZF, Uman I, Wang B, Wang BL, Wang B, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XJ, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YN, Wang YQ, Wang Y, Wang Y, Wang Z, Wang ZL, Wang ZY, Wang Z, Wei D, Wei DH, Weidner F, Wen SP, Wenzel CW, Wiedner UW, Wilkinson G, Wolke M, Wollenberg L, Wu C, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YJ, Wu Z, Xia L, Xian XM, Xiang T, Xiao D, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu QN, Xu W, Xu WL, Xu XP, Xu YC, Xu ZP, Xu ZS, Yan F, Yan L, Yan WB, Yan WC, Yan XQ, Yang HJ, Yang HL, Yang HX, Yang T, Yang Y, Yang YF, Yang YX, Yang Y, Yang ZW, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yu XD, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zeng YJ, Zhai XY, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HQ, Zhang HY, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZL, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu L, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou JH, Zu J. Study of the f_{0}(980) and f_{0}(500) Scalar Mesons through the Decay D_{s}^{+}→π^{+}π^{-}e^{+}ν_{e}. Phys Rev Lett 2024; 132:141901. [PMID: 38640399 DOI: 10.1103/physrevlett.132.141901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 11/29/2023] [Accepted: 02/28/2024] [Indexed: 04/21/2024]
Abstract
Using e^{+}e^{-} collision data corresponding to an integrated luminosity of 7.33 fb^{-1} recorded by the BESIII detector at center-of-mass energies between 4.128 and 4.226 GeV, we present an analysis of the decay D_{s}^{+}→π^{+}π^{-}e^{+}ν_{e}, where the D_{s}^{+} is produced via the process e^{+}e^{-}→D_{s}^{*±}D_{s}^{∓}. We observe the f_{0}(980) in the π^{+}π^{-} system and the branching fraction of the decay D_{s}^{+}→f_{0}(980)e^{+}ν_{e} with f_{0}(980)→π^{+}π^{-} measured to be (1.72±0.13_{stat}±0.10_{syst})×10^{-3}, where the uncertainties are statistical and systematic, respectively. The dynamics of the D_{s}^{+}→f_{0}(980)e^{+}ν_{e} decay are studied with the simple pole parametrization of the hadronic form factor and the Flatté formula describing the f_{0}(980) in the differential decay rate, and the product of the form factor f_{+}^{f_{0}}(0) and the c→s Cabibbo-Kobayashi-Maskawa matrix element |V_{cs}| is determined for the first time to be f_{+}^{f_{0}}(0)|V_{cs}|=0.504±0.017_{stat}±0.035_{syst}. Furthermore, the decay D_{s}^{+}→f_{0}(500)e^{+}ν_{e} is searched for the first time but no signal is found. The upper limit on the branching fraction of D_{s}^{+}→f_{0}(500)e^{+}ν_{e}, f_{0}(500)→π^{+}π^{-} decay is set to be 3.3×10^{-4} at 90% confidence level.
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Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M N Achasov
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - P Adlarson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - R Aliberti
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - A Amoroso
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - M R An
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Bai
- Southeast University, Nanjing 211100, People's Republic of China
| | - O Bakina
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - I Balossino
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - Y Ban
- Peking University, Beijing 100871, People's Republic of China
| | - V Batozskaya
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- National Centre for Nuclear Research, Warsaw 02-093, Poland
| | - K Begzsuren
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - N Berger
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Berlowski
- National Centre for Nuclear Research, Warsaw 02-093, Poland
| | - M Bertani
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - D Bettoni
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - F Bianchi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - E Bianco
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - J Bloms
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - A Bortone
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - I Boyko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R A Briere
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - A Brueggemann
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - H Cai
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X Cai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - A Calcaterra
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - G F Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S A Cetin
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - J F Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - T T Chang
- Xinyang Normal University, Xinyang 464000, People's Republic of China
| | - W L Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G R Che
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Chelkov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - C Chen
- Nankai University, Tianjin 300071, People's Republic of China
| | - Chao Chen
- Soochow University, Suzhou 215006, People's Republic of China
| | - G Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H S Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M L Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S J Chen
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S M Chen
- Tsinghua University, Beijing 100084, People's Republic of China
| | - T Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X R Chen
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X T Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y B Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Q Chen
- Jilin University, Changchun 130012, People's Republic of China
| | - Z J Chen
- Hunan University, Changsha 410082, People's Republic of China
| | | | - S K Choi
- Chung-Ang University, Seoul, 06974, Republic of Korea
| | - X Chu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Cibinetto
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - S C Coen
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | | | - J J Cui
- Shandong University, Jinan 250100, People's Republic of China
| | - H L Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J P Dai
- Yunnan University, Kunming 650500, People's Republic of China
| | - A Dbeyssi
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - R E de Boer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - D Dedovich
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Z Y Deng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - A Denig
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - I Denysenko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Destefanis
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - F De Mori
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - B Ding
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Jinan, Jinan 250022, People's Republic of China
| | - X X Ding
- Peking University, Beijing 100871, People's Republic of China
| | - Y Ding
- Jilin University, Changchun 130012, People's Republic of China
| | - Y Ding
- Liaoning University, Shenyang 110036, People's Republic of China
| | - J Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Dong
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S X Du
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Z H Duan
- Nanjing University, Nanjing 210093, People's Republic of China
| | - P Egorov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Y L Fan
- Wuhan University, Wuhan 430072, People's Republic of China
| | - J Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S S Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W X Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Farinelli
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - L Fava
- University of Eastern Piedmont, I-15121, Alessandria, Italy
- INFN, I-10125, Turin, Italy
| | - F Feldbauer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Felici
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - C Q Feng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J H Feng
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - K Fischer
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Fritsch
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - C Fritzsch
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - C D Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J L Fu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y W Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Gao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y N Gao
- Peking University, Beijing 100871, People's Republic of China
| | - Yang Gao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | | | - I Garzia
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - P T Ge
- Wuhan University, Wuhan 430072, People's Republic of China
| | - Z W Ge
- Nanjing University, Nanjing 210093, People's Republic of China
| | - C Geng
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - E M Gersabeck
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - A Gilman
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - K Goetzen
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Gong
- Liaoning University, Shenyang 110036, People's Republic of China
| | - W X Gong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W Gradl
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - S Gramigna
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - M Greco
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - M H Gu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y T Gu
- Guangxi University, Nanning 530004, People's Republic of China
| | - C Y Guan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Guan
- Henan University of Technology, Zhengzhou 450001, People's Republic of China
| | - A Q Guo
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L B Guo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R P Guo
- Shandong Normal University, Jinan 250014, People's Republic of China
| | - Y P Guo
- Fudan University, Shanghai 200433, People's Republic of China
| | - A Guskov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - X T Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T T Han
- Shandong University, Jinan 250100, People's Republic of China
| | - W Y Han
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - X Q Hao
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - F A Harris
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K K He
- Soochow University, Suzhou 215006, People's Republic of China
| | - K L He
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | | | - C H Heinz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y K Heng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C Herold
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - T Holtmann
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - P C Hong
- Fudan University, Shanghai 200433, People's Republic of China
| | - G Y Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y R Hou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H M Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J F Hu
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - T Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G S Huang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K X Huang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - L Q Huang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X T Huang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y P Huang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - T Hussain
- University of the Punjab, Lahore-54590, Pakistan
| | - N Hüsken
- Indiana University, Bloomington, Indiana 47405, USA
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - W Imoehl
- Indiana University, Bloomington, Indiana 47405, USA
| | - M Irshad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J Jackson
- Indiana University, Bloomington, Indiana 47405, USA
| | - S Jaeger
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Janchiv
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - J H Jeong
- Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Q Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q P Ji
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - X B Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X L Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Y Ji
- Shandong University, Jinan 250100, People's Republic of China
| | - Z K Jia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - P C Jiang
- Peking University, Beijing 100871, People's Republic of China
| | - S S Jiang
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - T J Jiang
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - X S Jiang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Jiang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J B Jiao
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Jiao
- Huangshan College, Huangshan 245000, People's Republic of China
| | - S Jin
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Jin
- University of Jinan, Jinan 250022, People's Republic of China
| | - M Q Jing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Johansson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - X Kui
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica, Chile
| | | | - X L Kang
- China University of Geosciences, Wuhan 430074, People's Republic of China
| | - X S Kang
- Liaoning University, Shenyang 110036, People's Republic of China
| | - R Kappert
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Kavatsyuk
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - B C Ke
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - A Khoukaz
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - R Kiuchi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Kliemt
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Koch
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - O B Kolcu
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - B Kopf
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | | | - A Kupsc
- National Centre for Nuclear Research, Warsaw 02-093, Poland
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - W Kühn
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - J J Lane
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - J S Lange
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - P Larin
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - A Lavania
- Indian Institute of Technology Madras, Chennai 600036, India
| | - L Lavezzi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - T T Lei
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z H Lei
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Leithoff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Lellmann
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - T Lenz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Li
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - C Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - C H Li
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D M Li
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - F Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H B Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Li
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H N Li
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - Hui Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - J R Li
- Tsinghua University, Beijing 100084, People's Republic of China
| | - J S Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - J W Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Ke Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L K Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Lei Li
- Beijing Institute of Petrochemical Technology, Beijing 102617, People's Republic of China
| | - M H Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - P R Li
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - S X Li
- Fudan University, Shanghai 200433, People's Republic of China
| | - T Li
- Shandong University, Jinan 250100, People's Republic of China
| | - W D Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X L Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Xiaoyu Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y G Li
- Peking University, Beijing 100871, People's Republic of China
| | - Z J Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Z X Li
- Guangxi University, Nanning 530004, People's Republic of China
| | - Z Y Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - C Liang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - H Liang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Liang
- Jilin University, Changchun 130012, People's Republic of China
| | - H Liang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y F Liang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - Y T Liang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G R Liao
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - L Z Liao
- Shandong University, Jinan 250100, People's Republic of China
| | - J Libby
- Indian Institute of Technology Madras, Chennai 600036, India
| | - A Limphirat
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - D X Lin
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Lin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B J Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B X Liu
- Wuhan University, Wuhan 430072, People's Republic of China
| | - C Liu
- Jilin University, Changchun 130012, People's Republic of China
| | - C X Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D Liu
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - F H Liu
- Shanxi University, Taiyuan 030006, People's Republic of China
| | - Fang Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Feng Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - G M Liu
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - H Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - H B Liu
- Guangxi University, Nanning 530004, People's Republic of China
| | - H M Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Huanhuan Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Huihui Liu
- Henan University of Science and Technology, Luoyang 471003, People's Republic of China
| | - J B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J L Liu
- University of South China, Hengyang 421001, People's Republic of China
| | - J Y Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K Y Liu
- Liaoning University, Shenyang 110036, People's Republic of China
| | - Ke Liu
- Henan University of Technology, Zhengzhou 450001, People's Republic of China
| | - L Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - L C Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Lu Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - M H Liu
- Fudan University, Shanghai 200433, People's Republic of China
| | - P L Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q Liu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - T Liu
- Fudan University, Shanghai 200433, People's Republic of China
| | - W K Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - W M Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y B Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z A Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Q Liu
- Shandong University, Jinan 250100, People's Republic of China
| | - X C Lou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F X Lu
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H J Lu
- Huangshan College, Huangshan 245000, People's Republic of China
| | - J G Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X L Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Lu
- Central South University, Changsha 410083, People's Republic of China
| | - Y P Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z H Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C L Luo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - M X Luo
- Zhejiang University, Hangzhou 310027, People's Republic of China
| | - T Luo
- Fudan University, Shanghai 200433, People's Republic of China
| | - X L Luo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X R Lyu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y F Lyu
- Nankai University, Tianjin 300071, People's Republic of China
| | - F C Ma
- Liaoning University, Shenyang 110036, People's Republic of China
| | - H L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L L Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - M M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Q Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - R T Ma
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Ma
- Peking University, Beijing 100871, People's Republic of China
| | - Y M Ma
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - F E Maas
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - M Maggiora
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Maldaner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Malde
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - A Mangoni
- INFN Sezione di Perugia, I-06100, Perugia, Italy
| | - Y J Mao
- Peking University, Beijing 100871, People's Republic of China
| | - Z P Mao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Marcello
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Z X Meng
- University of Jinan, Jinan 250022, People's Republic of China
| | - J G Messchendorp
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - G Mezzadri
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - H Miao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T J Min
- Nanjing University, Nanjing 210093, People's Republic of China
| | - R E Mitchell
- Indiana University, Bloomington, Indiana 47405, USA
| | - X H Mo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Yu Muchnoi
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Y Nefedov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - F Nerling
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - I B Nikolaev
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Z Ning
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Nisar
- COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
| | - Y Niu
- Shandong University, Jinan 250100, People's Republic of China
| | - S L Olsen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Ouyang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Pacetti
- INFN Sezione di Perugia, I-06100, Perugia, Italy
- University of Perugia, I-06100, Perugia, Italy
| | - X Pan
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y Pan
- Southeast University, Nanjing 211100, People's Republic of China
| | - A Pathak
- Jilin University, Changchun 130012, People's Republic of China
| | - P Patteri
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - Y P Pei
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Pelizaeus
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - H P Peng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Peters
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - J L Ping
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R G Ping
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Plura
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - S Pogodin
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - V Prasad
- Instituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica, Chile
| | - F Z Qi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Qi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H R Qi
- Tsinghua University, Beijing 100084, People's Republic of China
| | - M Qi
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T Y Qi
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Qian
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W B Qian
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Qiao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J J Qin
- University of South China, Hengyang 421001, People's Republic of China
| | - L Q Qin
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - X P Qin
- Fudan University, Shanghai 200433, People's Republic of China
| | - X S Qin
- Shandong University, Jinan 250100, People's Republic of China
| | - Z H Qin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J F Qiu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Q Qu
- Tsinghua University, Beijing 100084, People's Republic of China
| | - C F Redmer
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - K J Ren
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | | | - V Rodin
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Rolo
- INFN, I-10125, Turin, Italy
| | - G Rong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ch Rosner
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - S N Ruan
- Nankai University, Tianjin 300071, People's Republic of China
| | - N Salone
- National Centre for Nuclear Research, Warsaw 02-093, Poland
| | - A Sarantsev
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Y Schelhaas
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - K Schoenning
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M Scodeggio
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - K Y Shan
- Fudan University, Shanghai 200433, People's Republic of China
| | - W Shan
- Hunan Normal University, Changsha 410081, People's Republic of China
| | - X Y Shan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J F Shangguan
- Soochow University, Suzhou 215006, People's Republic of China
| | - L G Shao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Shao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C P Shen
- Fudan University, Shanghai 200433, People's Republic of China
| | - H F Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W H Shen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B A Shi
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H C Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J L Shi
- Fudan University, Shanghai 200433, People's Republic of China
| | - J Y Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q Q Shi
- Soochow University, Suzhou 215006, People's Republic of China
| | - R S Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J J Song
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - T Z Song
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - W M Song
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Jilin University, Changchun 130012, People's Republic of China
| | - Y J Song
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y X Song
- Peking University, Beijing 100871, People's Republic of China
| | - S Sosio
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Spataro
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - F Stieler
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y J Su
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G B Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G X Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Sun
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H K Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J F Sun
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - K Sun
- Tsinghua University, Beijing 100084, People's Republic of China
| | - L Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S S Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Y Sun
- Jilin University, Changchun 130012, People's Republic of China
| | - Y Sun
- China University of Geosciences, Wuhan 430074, People's Republic of China
| | - Y J Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Z Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z T Sun
- Shandong University, Jinan 250100, People's Republic of China
| | - Y X Tan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C J Tang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - G Y Tang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Tang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Y A Tang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - L Y Tao
- University of South China, Hengyang 421001, People's Republic of China
| | - Q T Tao
- Hunan University, Changsha 410082, People's Republic of China
| | - M Tat
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - J X Teng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - V Thoren
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - W H Tian
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - W H Tian
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - Y Tian
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z F Tian
- Wuhan University, Wuhan 430072, People's Republic of China
| | - I Uman
- Near East University, Nicosia, North Cyprus, 99138, Mersin 10, Turkey
| | - B Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B L Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Bo Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C W Wang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - D Y Wang
- Peking University, Beijing 100871, People's Republic of China
| | - F Wang
- University of South China, Hengyang 421001, People's Republic of China
| | - H J Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - H P Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L L Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - Meng Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - T Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - T J Wang
- Nankai University, Tianjin 300071, People's Republic of China
| | - W Wang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - W Wang
- University of South China, Hengyang 421001, People's Republic of China
| | - W H Wang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - W P Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Wang
- Peking University, Beijing 100871, People's Republic of China
| | - X F Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - X J Wang
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - X L Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Wang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Y D Wang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y F Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Wang
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - Y N Wang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y Q Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Yaqian Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Hebei University, Baoding 071002, People's Republic of China
| | - Yi Wang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Z Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z L Wang
- University of South China, Hengyang 421001, People's Republic of China
| | - Z Y Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ziyi Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - D Wei
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - D H Wei
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - F Weidner
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - S P Wen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C W Wenzel
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - U W Wiedner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Wilkinson
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Wolke
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - C Wu
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J F Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L H Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Wu
- Fudan University, Shanghai 200433, People's Republic of China
| | - X H Wu
- Jilin University, Changchun 130012, People's Republic of China
| | - Y Wu
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y J Wu
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - Z Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Xia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X M Xian
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - T Xiang
- Peking University, Beijing 100871, People's Republic of China
| | - D Xiao
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - G Y Xiao
- Nanjing University, Nanjing 210093, People's Republic of China
| | - H Xiao
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Y Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y L Xiao
- Fudan University, Shanghai 200433, People's Republic of China
| | - Z J Xiao
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - C Xie
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X H Xie
- Peking University, Beijing 100871, People's Republic of China
| | - Y Xie
- Shandong University, Jinan 250100, People's Republic of China
| | - Y G Xie
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Xie
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - Z P Xie
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - T Y Xing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C J Xu
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - G F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Y Xu
- University of Jinan, Jinan 250022, People's Republic of China
| | - Q J Xu
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - Q N Xu
- Inner Mongolia University, Hohhot 010021, People's Republic of China
| | - W Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W L Xu
- University of Jinan, Jinan 250022, People's Republic of China
| | - X P Xu
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y C Xu
- Yantai University, Yantai 264005, People's Republic of China
| | - Z P Xu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Z S Xu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - L Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - W B Yan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W C Yan
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - X Q Yan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H J Yang
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - H L Yang
- Jilin University, Changchun 130012, People's Republic of China
| | - H X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Tao Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Yang
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y F Yang
- Nankai University, Tianjin 300071, People's Republic of China
| | - Y X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Yifan Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z W Yang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - M Ye
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - M H Ye
- China Center of Advanced Science and Technology, Beijing 100190, People's Republic of China
| | - J H Yin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y You
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - B X Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C X Yu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J S Yu
- Hunan University, Changsha 410082, People's Republic of China
| | - T Yu
- University of South China, Hengyang 421001, People's Republic of China
| | - X D Yu
- Peking University, Beijing 100871, People's Republic of China
| | - C Z Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Yuan
- Beihang University, Beijing 100191, People's Republic of China
| | - S C Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X Q Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Y Yuan
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - C X Yue
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - A A Zafar
- University of the Punjab, Lahore-54590, Pakistan
| | - F R Zeng
- Shandong University, Jinan 250100, People's Republic of China
| | - X Zeng
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Zeng
- Hunan University, Changsha 410082, People's Republic of China
| | - Y J Zeng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Zhai
- Jilin University, Changchun 130012, People's Republic of China
| | - Y H Zhan
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - A Q Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B L Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B X Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D H Zhang
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Y Zhang
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H Zhang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H H Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H H Zhang
- Jilin University, Changchun 130012, People's Republic of China
| | - H Q Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J J Zhang
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - J L Zhang
- Henan University, Kaifeng 475004, People's Republic of China
| | - J Q Zhang
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - J W Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J X Zhang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - J Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Z Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jianyu Zhang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jiawei Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L M Zhang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - L Q Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Lei Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - P Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q Y Zhang
- Liaoning Normal University, Dalian 116029, People's Republic of China
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Shuihan Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Shulei Zhang
- Hunan University, Changsha 410082, People's Republic of China
| | - X D Zhang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - X M Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X Y Zhang
- Shandong University, Jinan 250100, People's Republic of China
| | - X Y Zhang
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y Zhang
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Y Zhang
- University of South China, Hengyang 421001, People's Republic of China
| | - Y T Zhang
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Yan Zhang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Yao Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z L Zhang
- Jilin University, Changchun 130012, People's Republic of China
| | - Z Y Zhang
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z Y Zhang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zhao
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J Y Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Z Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Lei Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Ling Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M G Zhao
- Nankai University, Tianjin 300071, People's Republic of China
| | - S J Zhao
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y B Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y X Zhao
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z G Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Zhemchugov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - B Zheng
- University of South China, Hengyang 421001, People's Republic of China
| | - J P Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W J Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Zheng
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B Zhong
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - X Zhong
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Zhou
- Shandong University, Jinan 250100, People's Republic of China
| | - L P Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Zhou
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X K Zhou
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - X R Zhou
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Y Zhou
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Y Z Zhou
- Fudan University, Shanghai 200433, People's Republic of China
| | - J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - K Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K J Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Zhu
- Jilin University, Changchun 130012, People's Republic of China
| | - L X Zhu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S H Zhu
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - S Q Zhu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T J Zhu
- Fudan University, Shanghai 200433, People's Republic of China
| | - W J Zhu
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y C Zhu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z A Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J H Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
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Yang Y, Lay YF. What are the roles of positive psychological construct in blended learning contexts? Integrating academic buoyancy into the Community of Inquiry framework. Front Psychol 2024; 15:1354156. [PMID: 38646118 PMCID: PMC11027936 DOI: 10.3389/fpsyg.2024.1354156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/18/2024] [Indexed: 04/23/2024] Open
Abstract
Introduction In the post-epidemic era, blended learning has become a social trend for the future of higher education, and scholars have endeavored to understand the factors that influence student learning in these blended communities. Communities of Inquiry is a conceptual framework that describes the components of blended learning environments, indicating teaching presence, social presence, and cognitive presence. However, the framework fails to adequately explore how individual learning motivational factors influence student learning. Therefore, this study extends the Community of Inquiry framework by drawing on a positive psychological construct-academic buoyancy to reveal the relationship between academic buoyancy and the three presences through empirical research. Methods The theoretical model was validated by SPSS 26.0 and smartPLS4.0. To evaluate the measurement and structural models, structural equation modeling (SEM) was carried out using the partial least squares (PLS) method. Findings (a) Teaching presence positively predicts academic buoyancy, and academic buoyancy positively predicts social presence and cognitive presence; (b) academic buoyancy mediates teaching presence and social presence, as well as teaching presence and cognitive presence; and (c) academic buoyancy acts as a chain mediator between teaching presence and cognitive presence through social presence. Discussion The results of this study fill a gap in the multiple roles of individual positive psychological construct-academic buoyancy in blended learning communities, extend the Community of Inquiry theoretical framework, and provide empirical evidence for blended learning quality and practical improvement strategies.
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Affiliation(s)
- Yan Yang
- Department of College English, Zhejiang Yuexiu University, Shaoxing, China
- Faculty of Psychology and Education, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
| | - Yoon Fah Lay
- Faculty of Psychology and Education, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
- Faculty of Social Sciences and Liberal Arts, UCSI University, Kuala Lumpur, Malaysia
- School of Liberal Arts and Sciences, Taylor's University, Kuala Lumpur, Malaysia
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Yang Y, Wang G, Zhang S, Jiao C, Wu X, Pan C, Mao J, Liu Y. Boron in the Second Coordination Sphere of Fe Single Atom Boosts the Oxygen Reduction Reaction. ACS Appl Mater Interfaces 2024; 16:16224-16231. [PMID: 38513153 DOI: 10.1021/acsami.4c00148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Metal single atoms coordinated with four nitrogen atoms (M1N4) are regarded as tremendously promising catalysts for the electrocatalytic oxygen reduction reaction (ORR). Nevertheless, the strong bond intensity between the metal center and the O atom in oxygen-containing intermediates significantly limits the ORR activity of M1N4. Herein, the catalytically active B atom is successfully introduced into the second coordination sphere of the Fe single atom (Fe1N4-B-C) to realize the alternative binding of B and O atoms and thus facilitate the ORR activity. Compared with the pristine Fe1N4 catalyst, the synthesized Fe1N4-B-C catalyst exhibits improved ORR catalytic capability with a half-wave potential (E1/2) of 0.80 V and a kinetic current density (JK) of 5.32 mA cm-2 in acid electrolyte. Moreover, in an alkaline electrolyte, the Fe1N4-B-C catalyst displays remarkable ORR activity with E1/2 of 0.87 V and JK of 8.94 mA cm-2 at 0.85 V, outperforming commercial Pt/C. Notably, the mechanistic study has revealed that the active center is the B atom in the second coordination shell of the Fe1N4-B-C catalyst, which avoids the direct bonding of Fe-O. The B center has a moderate binding force to the ORR intermediate, which flattens the ORR energy diagram and thereby improves the ORR performance. Therefore, this study offers a novel strategy for tailoring catalytic performance by tuning the active center of single-atom catalyst.
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Affiliation(s)
- Yan Yang
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, China
| | - Gang Wang
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, China
| | - Shuangshuang Zhang
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, China
| | - Chi Jiao
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, China
| | - Xiaoyan Wu
- Anhui RuiHy Power Technology Co., Ltd., Wuhu 241002, China
| | - Chenbing Pan
- Anhui RuiHy Power Technology Co., Ltd., Wuhu 241002, China
| | - Junjie Mao
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, China
| | - Yan Liu
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, China
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50
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Zhang HR, Li CK, Du Y, Zhao YW, Li ZQ, Yang Y, Wu N, Zhuang QY, Zhang JG, Wang SR. [Clinical outcome of posterior lumbar interbody fusion combined with Ponte osteotomy for reconstruction of coronal sagittal plane balance in degenerative scoliosis]. Zhonghua Yi Xue Za Zhi 2024; 104:1043-1049. [PMID: 38561299 DOI: 10.3760/cma.j.cn112137-20231015-00753] [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: 04/04/2024]
Abstract
Objective: To evaluate the clinical efficacy of posterior lumbar interbody fusion combined with Ponte osteotomy in the treatment of patients with degenerative scoliosis. Methods: The medical records and imaging data of degenerative scoliosis in department of orthopedics, Peking Union Medical College Hospital from 2013 to 2022 were retrospectively collected, and the shortest follow-up time was 1 year. A total of 38 patients were included, including 13 males and 25 females, aged 50-87(65.6±10.9) years old.The follow-up was12-119(43±20) months. Standing position full spine anteroposterior lateral X-ray examinations were performed on all patients preoperatively, postoperatively, and at latest follow-up. The length of hospital stay, complications, operation time, blood loss, instrumented segment, fusion segmen were recorded. The clinical scores and coronasagittal imaging indicators at three time points were compared. Results: The operation time was (274.5±70.5)min, and intraoperative blood loss was (619.2±93.5)ml. The coronal vertical axis was improved from (2.9±1.8)cm preoperatively to (1.2±1.0)cm postoperatively. The preoperative coronal Cobb angle was 16.6°±9.9° and the immediate postoperative correction was 6.4°±4.0°(t=-6.83, P<0.001). The difference was statistically significant (t=-6.12, P<0.001). The coronal Cobb Angle at the last follow-up was 5.7°±3.7°, and there was no significant orthopaedic loss at the last follow-up (t=-6.12, P<0.001).The sagittal vertical axis decreased from (5.6±3.9)cm preoperatively to (3.2±2.5) cm immediately after operation (t=-6.83,P<0.001), and was well maintained at the last follow-up[(2.7±1.8) cm,t=-7.77,P<0.001]. Lumbar lordosis increased from 21.8°±10.2° preoperatively to 35.8°±8.3° postoperatively(t=12.01, P<0.001)and 40.1°±8.6° at last follow-up(t=-10.21, P<0.001). Oswestry disability score (ODI score), visual analogue score (VAS) low back pain score and VAS leg pain score were also lower after surgery than before surgery (all P<0.05). Conclusion: Posterior lumbar interbody fusion combined with Ponte osteotomy can significantly improve the coronal and sagittal plane deformity and postoperative functional score in adult patients with degenerative scoliosis.
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Affiliation(s)
- H R Zhang
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
| | - C K Li
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
| | - Y Du
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
| | - Y W Zhao
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
| | - Z Q Li
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
| | - Y Yang
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
| | - N Wu
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
| | - Q Y Zhuang
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
| | - J G Zhang
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
| | - S R Wang
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing 100730, China
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